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Biology, Volume 9, Issue 9 (September 2020) – 69 articles

Cover Story (view full-size image): Honey bees are exposed to numerous stressors and little is known about their combined effects on learning and memory, which could affect the performance of behaviors that are essential for their survival. In this issue, the authors investigated the effect of sublethal doses of the insecticide clothianidin and the parasitism by Varroa destructor on memory retention using the proboscis extension response assay (PER), and the expression of neural related genes, AmNrx-1 (neurexin), AmNlg-1 (neuroligin), and AmAChE-2 (acetylcholinesterase). The combined stressors were found to affect long term memory and expression of neural related genes. The cover image shows an adult honey bee parasitized by a V. destructor mite. View this paper.
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25 pages, 2455 KiB  
Article
Bioprospecting of a Novel Plant Growth-Promoting Bacterium Bacillus altitudinis KP-14 for Enhancing Miscanthus × giganteus Growth in Metals Contaminated Soil
by Kumar Pranaw, Valentina Pidlisnyuk, Josef Trögl and Hana Malinská
Biology 2020, 9(9), 305; https://doi.org/10.3390/biology9090305 - 22 Sep 2020
Cited by 25 | Viewed by 5685
Abstract
Use of plant growth-promoting bacteria (PGPB) for cultivation of the biofuel crop Miscanthus × giganteus (Mxg) in post-military and post-mining sites is a promising approach for the bioremediation of soils contaminated by metals. In the present study, PGPB were isolated from [...] Read more.
Use of plant growth-promoting bacteria (PGPB) for cultivation of the biofuel crop Miscanthus × giganteus (Mxg) in post-military and post-mining sites is a promising approach for the bioremediation of soils contaminated by metals. In the present study, PGPB were isolated from contaminated soil and screened for tolerance against abiotic stresses caused by salinity, pH, temperature, and lead (Pb). Selected strains were further assessed and screened for plant growth-promoting attributes. The isolate showing the most potential, Bacillus altitudinis KP-14, was tested for enhancement of Mxg growth in contaminated soil under greenhouse conditions. It was found to be highly tolerant to diverse abiotic stresses, exhibiting tolerance to salinity (0–15%), pH (4–8), temperature (4–50 °C), and Pb (up to 1200 ppm). The association of B. altitudinis KP-14 with Mxg resulted in a significant (p ≤ 0.001) impact on biomass enhancement: the total shoot and dry root weights were significantly enhanced by 77.7% and 55.5%, respectively. The significant enhancement of Mxg biomass parameters by application of B. altitudinis KP-14 strongly supports the use of this strain as a biofertilizer for the improvement of plant growth in metal-contaminated soils. Full article
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Figure 1

Figure 1
<p>Phylogenetic trees based on 16S rRNA gene sequences showing clustering of all 9 isolates with their nearest phylogenetic relatives. Phylogenetic trees were constructed by the neighbor-joining method. The bar represents 0.02 substitutions per alignment position.</p>
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<p>Evidence of different plant growth promoting (PGP) attributes for selected isolates KP14, KP18, and KP19: (<b>A</b>) phosphate solubilization, confirmed by the clear halo around the culture; (<b>B</b>) IAA production, confirmed by the pink color development in the reaction mixture; (<b>C</b>) HCN production (brown color development in the picric acid-soaked filter paper); (<b>D</b>) siderophore production, confirmed by yellow halo on CAS agar plates; and (<b>E</b>) ammonia production, confirmed by the brown color development in the reaction mixture.</p>
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<p>Antagonistic activity of selected isolates KP-14, KP-18, and KP-19 against (<b>A</b>) <span class="html-italic">Botrytis cinerea</span> (CCF-2361) and (<b>B</b>) <span class="html-italic">Fusarium culmorum</span> (CCF-1745).</p>
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<p>Effect of <span class="html-italic">B. altitudinis</span> KP-14 on germination of <span class="html-italic">Brassica alba</span> seeds: (<b>A</b>) uninoculated control and (<b>B</b>) inoculated treatment. Displayed data is the mean ± SE value of five replicates of each treatment. (<span class="html-fig-inline" id="biology-09-00305-i001"> <img alt="Biology 09 00305 i001" src="/biology/biology-09-00305/article_deploy/html/images/biology-09-00305-i001.png"/></span> root length, <span class="html-fig-inline" id="biology-09-00305-i002"> <img alt="Biology 09 00305 i002" src="/biology/biology-09-00305/article_deploy/html/images/biology-09-00305-i002.png"/></span> shoot length, and <span class="html-fig-inline" id="biology-09-00305-i003"> <img alt="Biology 09 00305 i003" src="/biology/biology-09-00305/article_deploy/html/images/biology-09-00305-i003.png"/></span> germination index (%)).</p>
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<p>Effect of <span class="html-italic">B. altitudinis</span> KP-14 on <span class="html-italic">Mxg</span> plant growth parameters of (<b>A</b>) height and number of tillers during the vegetation period and (<b>B</b>) dry biomass of leaves, stems, and roots at harvest (<span class="html-fig-inline" id="biology-09-00305-i001"> <img alt="Biology 09 00305 i001" src="/biology/biology-09-00305/article_deploy/html/images/biology-09-00305-i001.png"/></span> Uninoculated control; <span class="html-fig-inline" id="biology-09-00305-i002"> <img alt="Biology 09 00305 i002" src="/biology/biology-09-00305/article_deploy/html/images/biology-09-00305-i002.png"/></span> Inoculated treatment). Displayed data is the mean ± SE value of four replicates of each treatment. Asterisks denote significant differences between control and strain KP-14 experiment with four replicates (ANOVA, * <span class="html-italic">p</span> &lt; 0.001, ** <span class="html-italic">p</span> &lt; 0.0001).</p>
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11 pages, 2109 KiB  
Brief Report
Complement in Reproductive White Adipose Tissue Characterizes the Obese Preeclamptic-Like BPH/5 Mouse Prior to and During Pregnancy
by Kelsey N. Olson, Dorien Reijnders, Viviane C. L. Gomes, R. Caitlin Hebert, Chin-Chi Liu, Jacqueline M. Stephens, Leanne M. Redman, Nataki C. Douglas and Jennifer L. Sones
Biology 2020, 9(9), 304; https://doi.org/10.3390/biology9090304 - 22 Sep 2020
Cited by 8 | Viewed by 4067
Abstract
Preeclampsia (PE) is a serious hypertensive disorder of pregnancy characterized by abnormal placental development with an unknown etiology. To better understand which women will develop PE, a number of maternal risk factors have been identified, including obesity. Visceral white adipose tissue (WAT) contains [...] Read more.
Preeclampsia (PE) is a serious hypertensive disorder of pregnancy characterized by abnormal placental development with an unknown etiology. To better understand which women will develop PE, a number of maternal risk factors have been identified, including obesity. Visceral white adipose tissue (WAT) contains inflammatory mediators that may contribute to PE. To explore this, we utilized the blood pressure high (BPH)/5 mouse model of superimposed PE that spontaneously recapitulates the maternal PE syndrome. We hypothesized that BPH/5 visceral WAT adjacent to the female reproductive tract (reproductive WAT) is a source of complement factors that contribute to the inflammatory milieu and angiogenic imbalance at the maternal–fetal interface in this model and in preeclamptic women. To test our hypothesis, we calorie-restricted BPH/5 females for two weeks prior to pregnancy and the first seven days of pregnancy, which attenuated complement component 3 (C3) but not complement factor B, nor complement factor D, (adipsin) in the reproductive WAT or the implantation site in BPH/5. Furthermore, calorie restriction during pregnancy restored vascular endothelial and placental growth factor mRNA levels in the BPH/5 implantation site. These data show maternal reproductive WAT may be a source of increased C3 during pregnancy, which is increased at the maternal–fetal interface in preeclamptic BPH/5 mice. It also suggests that calorie restriction could regulate inflammatory mediators thought to contribute to placental dysfunction in PE. Future studies are necessary to examine the effect of calorie restriction on C3 throughout pregnancy and the role of maternal obesity in PE. Full article
(This article belongs to the Section Physiology)
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<p>Complement factor B (CfB) and complement factor 3 (C3) mRNA is increased in female blood pressure high (BPH)/5 reproductive (repro) white adipose tissue (WAT) prior to pregnancy. (<b>A</b>) qRT-PCR analysis of complement factor B, (<b>B</b>) complement factor D (adipsin), and (<b>C</b>) complement factor 3 (C3) mRNA expression in reproductive (repro) WAT from nonpregnant, ad libitum-fed C57 and BPH/5, and calorie-restricted (CR) BPH/5 mice (<span class="html-italic">n</span> = 5–6, * <span class="html-italic">p</span> &lt; 0.05 vs. C57, <sup>#</sup> <span class="html-italic">p</span> &lt; 0.05 vs. BPH/5). Data are expressed as mean ± standard error of the mean (SEM).</p>
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<p>Complement factor 3 (C3) protein is increased in BPH/5 reproductive (repro) WAT in early pregnancy. (<b>A</b>) Quantification of C3 α chain, (<b>B</b>) C3 β chain, and (<b>C</b>) combined (α chain and β chain) C3 levels were measured in reproductive WAT of ad libitum-fed C57, ad libitum-fed BPH/5, and calorie-restricted (CR) BPH/5 mice at e7.5 (<span class="html-italic">n</span> = 3, * <span class="html-italic">p</span> &lt; 0.05 vs. C57, <sup>#</sup> <span class="html-italic">p</span> &lt; 0.05 vs. BPH/5). Data are expressed as mean ± SEM. (<b>D</b>) Representative Western blot gel of actin and C3 denatured protein levels.</p>
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<p>Complement factor 3 (C3), complement factor B (CfB), vascular endothelial growth factor (VEGF), and placental growth factor (PlGF) mRNA levels are increased in BPH/5 implantation sites in early pregnancy. (<b>A</b>) qRT-PCR analysis of complement factor B, (<b>B</b>) complement component 3 (C3), (<b>C</b>) vascular endothelial growth factor (VEGF), and (<b>D</b>) placental growth factor (PlGF) mRNA expression in implantation sites from e7.5 ad libitum-fed C57 and BPH/5, and calorie-restricted (CR) BPH/5 mice (<span class="html-italic">n</span> = 5–6, * <span class="html-italic">p</span> &lt; 0.05 vs. C57, <sup>#</sup> <span class="html-italic">p</span> &lt; 0.05 vs. BPH/5). Data are expressed as mean ± SEM.</p>
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<p>Working hypothesis: Maternal obesity results in increased visceral reproductive white adipose tissue (WAT) with increased levels of complement component 3 (C3) in BPH/5 females. Increases in reproductive WAT and C3 begins before pregnancy and is associated with misexpression of vascular endothelial growth factor (VEGF), placental growth factor (PlGF), and C3 in BPH/5 implantation sites at peak decidualization (e7.5), which may contribute to abnormal placentation and the development of preeclampsia. Calorie restriction to reduce adiposity either before or during early pregnancy may attenuate the C3 and angiogenic factor dysregulation seen in early pregnancy to improve pregnancy outcomes.</p>
Full article ">
21 pages, 4970 KiB  
Article
Design and Characterization of a Minimally Invasive Bipolar Electrode for Electroporation
by Giulia Merola, Roberta Fusco, Elio Di Bernardo, Valeria D’Alessio, Francesco Izzo, Vincenza Granata, Deyanira Contartese, Matteo Cadossi, Alberto Audenino and Giacomo Perazzolo Gallo
Biology 2020, 9(9), 303; https://doi.org/10.3390/biology9090303 - 21 Sep 2020
Cited by 8 | Viewed by 3781
Abstract
Objective: To test a new bipolar electrode for electroporation consisting of a single minimally invasive needle. Methods: A theoretical study was performed by using Comsol Multiphysics® software. The prototypes of electrode have been tested on potatoes and pigs, adopting an irreversible electroporation [...] Read more.
Objective: To test a new bipolar electrode for electroporation consisting of a single minimally invasive needle. Methods: A theoretical study was performed by using Comsol Multiphysics® software. The prototypes of electrode have been tested on potatoes and pigs, adopting an irreversible electroporation protocol. Different applied voltages and different geometries of bipolar electrode prototype have been evaluated. Results: Simulations and pre-clinical tests have shown that the volume of ablated area is mainly influenced by applied voltage, while the diameter of the electrode had a lesser impact, making the goal of minimal-invasiveness possible. The conductive pole’s length determined an increase of electroporated volume, while the insulated pole length inversely affects the electroporated volume size and shape; when the insulated pole length decreases, a more regular shape of the electric field is obtained. Moreover, the geometry of the electrode determined a different shape of the electroporated volume. A parenchymal damage in the liver of pigs due to irreversible electroporation protocol was observed. Conclusion: The minimally invasive bipolar electrode is able to treat an electroporated volume of about 10 mm in diameter by using a single-needle electrode. Moreover, the geometry and the electric characteristics can be selected to produce ellipsoidal ablation volumes. Full article
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Figure 1

Figure 1
<p>The electric field distribution simulated with Comsol Multiphysics<sup>®</sup>. Field distribution due to an electrode diameter of 1.40 and of 2.0 mm is respectively shown in (<b>a</b>,<b>b</b>). Field distribution due to an applied voltage of 500 and of 1500 V is respectively shown in (<b>c</b>,<b>d</b>). Field distribution due to an insulated pole of 3.00 and of 7.00 mm is respectively shown in (<b>e</b>,<b>f</b>). Field distribution due to a length of both the conductive poles of 3.00 and of 15.00 mm is respectively shown in (<b>g</b>,<b>h</b>). The color bar represents the intensity of the electric field distribution: in red is the highest value of electric field of the electroporated zone that decreases when moving away from the poles of the electrode.</p>
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<p>Histograms of tests on electrodes with symmetric geometry (Test 1–4) of <a href="#biology-09-00303-f001" class="html-fig">Figure 1</a>. In (<b>a</b>–<b>d</b>) are reported the values of the maximum diameters measured at the distal pole (P1), insulated spacer (S) and proximal pole (P2).</p>
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<p>Comsol Multiphysics<sup>®</sup> simulation: The electric field distribution considering a voltage of 500 V in (<b>a</b>) and of 1500 V in (<b>b</b>). The electric field distribution due to an electrode’s diameter of 1.40 mm and a voltage of 500 V in (<b>c</b>) and a diameter of 1.50 mm and a voltage of 1500 V in (<b>d</b>). Insulated pole of 3.0 mm in (<b>e</b>) and of 5.0 mm in (<b>f</b>). P1 = 20.00 mm and P2 = 5.00 mm in (<b>g</b>), P1 = 3.00 mm and P2 = 10.00 mm in (<b>h</b>). The color bar represents the intensity of the electric field distribution: in red is the highest value of electric field of the electroporated zone that decreases when moving away from the poles of the electrode.</p>
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<p>Histograms for tests with electrodes with asymmetric geometry (Test 5–8) of <a href="#biology-09-00303-f001" class="html-fig">Figure 1</a>. In (<b>a</b>–<b>d</b>) are reported the values of the maximum diameters measured at the distal pole (P1), spacer (S) and proximal pole (P2).</p>
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<p>Examples of tests conducted on potatoes of <a href="#biology-09-00303-t002" class="html-table">Table 2</a>. The black zone identifies the electroporated area 24 h after the treatment, while the surrounding area is vegetable material that is not electroporated. (<b>a</b>) Test 13 (asymmetric geometry) = P1: 3.00 mm, S: 5.00 mm, P2: 10.00 mm, Voltage: 800 V. (<b>b</b>) Test 14 (asymmetric geometry) = P1: 3.00 mm, S: 5.00 mm, P2: 10.00 mm, Voltage: 500 V. (<b>c</b>) Test 6 (symmetric geometry) = P1: 5.00 mm, S: 3.00 mm, P2: 5.00 mm, Voltage: 500 V. (<b>d</b>) Test 10 (symmetric geometry) = P1: 3.00 mm, S: 3.00 mm, P2: 3.00 mm, Voltage: 500 V. (<b>e</b>) Test 1 (symmetric geometry) = P1: 10.00 mm, S: 3.00 mm, P2: 10.00 mm, Voltage: 500 V. (<b>f</b>) Test 14 (asymmetric geometry) = P1: 3.00 mm, S: 5.00 mm, P2: 10.00 mm, Voltage: 500 V.</p>
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<p>Macroscopic images and histological analysis (hematoxylin and eosin staining) of porcine liver specimens. (<b>a</b>) Details of the damaged parenchyma using the setting of Test 1, <a href="#biology-09-00303-t003" class="html-table">Table 3</a>, in (<b>b</b>) zoom of altered parenchyma, and in (<b>c</b>) zoom of normal parenchyma. (<b>d</b>) Details of the damaged parenchyma using the setting of Test 3, <a href="#biology-09-00303-t003" class="html-table">Table 3</a>, in (<b>e</b>) zoom of altered parenchyma, and in (<b>f</b>) zoom of normal parenchyma. (<b>g</b>) Details of the damaged parenchyma using the setting of Test 4, <a href="#biology-09-00303-t003" class="html-table">Table 3</a>, in (<b>h</b>) zoom of altered parenchyma, and in (<b>i</b>) zoom of normal parenchyma. Red structures in (<b>b</b>,<b>e</b>,<b>h</b>) are capillaries.</p>
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<p>Bipolar coaxial electrode. (<b>a</b>) Positioning of the device inside the simulated organ (cube). (<b>b</b>) Electrode geometry implemented in Comsol Multiphysics<sup>®</sup>: two conductive poles, a tip and two insulated sheaths. (<b>c</b>) An example of bipolar electrode prototype.</p>
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<p>Simplified electrode geometry implemented in Comsol Multiphysics<sup>®</sup> and used for theoretical study. The geometry is composed of two conductive poles (austenitic stainless-steel) and one insulated spacer (polyimide). The electrode is inserted in a cube representing the organ of interest.</p>
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21 pages, 4403 KiB  
Article
Piperine Regulates Nrf-2/Keap-1 Signalling and Exhibits Anticancer Effect in Experimental Colon Carcinogenesis in Wistar Rats
by Muneeb U. Rehman, Summya Rashid, Azher Arafah, Wajhul Qamar, Rana M. Alsaffar, Ajaz Ahmad, Nada M. Almatroudi, Saeed M. A. Alqahtani, Shahzada Mudasir Rashid and Sheikh Bilal Ahmad
Biology 2020, 9(9), 302; https://doi.org/10.3390/biology9090302 - 21 Sep 2020
Cited by 32 | Viewed by 4569
Abstract
Colon cancer is the most common cancer in men and women globally, killing millions of people annually. Though there widespread development has been made in the management of colorectal cancer, still there is an urgent need to find novel targets for its effective [...] Read more.
Colon cancer is the most common cancer in men and women globally, killing millions of people annually. Though there widespread development has been made in the management of colorectal cancer, still there is an urgent need to find novel targets for its effective treatment. Piperine is an alkaloid found in black pepper having anticancer, anti-inflammatory activities, safe and nutritive for human consumption. Nuclear factor-erythroid 2–kelch-like ECH-associated protein 1(Nrf-2/Keap-1)/Heme-oxygenase1 (HO-1) signaling pathway plays a vital part in shielding cells from intracellular oxidative stress and inflammation. A potential cross-talk between the Nrf-2 and NF-κB pathways is recognized during cancerous growth and expansion. We studied this pathway extensively in the present study to discover novel targets in the prevention of chemically induced colon cancer with piperine to simulate human colon cancer pathology. Animals were divided into four groups. Groups1 and 2 were used as a negative control and positive control where 1,2–Dimethylhydrazine, DMH was administered in group 2, while group 3 and 4 were prevention groups where piperine at two different doses was given two weeks prior to DMH and continued until end of experiment. We found that piperine inhibited NF-κB by the activation of Nrf-2, blocking downstream inflammatory mediators/cytokines (TNF-α, IL-6, IL-1β, Cox-2, PGE-2, iNOS, NO, MPO), triggering an antioxidant response machinery (HO-1, NQO-1, GSH, GR, GPx, CAT, SOD), scavenging ROS, and decreasing lipid peroxidation. Histological findings further validated our molecular findings. It also downregulates CEA, MDF and ACF, markers of precancerous lesions in colon, alleviates infiltration of mast cells and depletes the mucous layer. Our results indicate that piperine may be an effective molecule for the prophylactic treatment of colon carcinogenesis by targeting the NF-κB/Nrf-2/Keap-1/HO-1 pathway as a progressive strategy in the preclusion and effective treatment of colorectal cancer. Full article
(This article belongs to the Special Issue Bioactivity of Medicinal Plants and Extracts)
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Figure 1
<p>Represents treatment schedule of the study.</p>
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<p>Piperine treatment mitigates CEA production. In group-II, the CEA level was increased significantly (<span class="html-italic">*** p</span> &lt; 0.001) as compared to control group. Treatment with Piperine (30 and 60 mg/kg b. wt.) significantly attenuated CEA level in group III (<span class="html-italic"><sup>##</sup> p</span> &lt; 0.01) and group IV (<span class="html-italic"><sup>###</sup> p</span> &lt; 0.001) as compared to group II (<span class="html-italic">n</span> = 10).</p>
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<p>Effect of piperine treatment on ACF and MDF. (<b>A</b>) Piperine attenuates ACF per rat colon in DMH administered groups as compared to tumor group. ACF visualized by methylene blue (MB) staining are detectable under microscope. The colons here were opened and stained with high iron diamine (HID) and Alcian blue (AB) as we can see in the picture. (<b>B</b>) Piperine attenuates MDF per rat colon in DMH administered groups as compared to tumor group. MDF are the dysplastic crypts lacking mucin formation found in the colons of chemical carcinogen rodent studies. The colons here were opened and stained with high iron diamine (HID) and Alcian blue (AB) as we can see in the picture (<span class="html-italic">n</span> = 10).</p>
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<p>Effect of piperine treatment on Nrf-2, Keap-1, NQO-1 and HO-1expression. Photomicrographs of colon sections depicting immunohistochemical analyses. Adjacent to photomicrographs are four panels which show quantitative evaluation of Nrf-2, Keap-1, NQO-1 and HO-1 expression immunostaining. Significant differences were indicated by <span class="html-italic">*** p</span> &lt; 0.001 when compared with group I and (<span class="html-italic"><sup>##</sup> p</span> &lt; 0.01), (<span class="html-italic"><sup>###</sup> p</span> &lt; 0.001) when compared with group II (<b>A</b>) Brown color indicates specific immunostaining of Nrf-2, and light blue color indicates counter-staining by hematoxylin. The colonic section of DMH-administered group-II has decreased immunopositive staining of Nrf-2, as indicated by brown color, as compared to control group-I, while treatment of Piperine (30 and 60 mg/kg b. wt.) in groups-III and IV increased Nrf-2 compared to group II. Piperine significantly activated Nrf-2 in group III and IV, respectively, (<span class="html-italic"><sup>##</sup> p</span> &lt; 0.01) and (<span class="html-italic"><sup>###</sup> p</span> &lt; 0.001), when compared with DMH-administered group-II. (<b>B</b>) Photomicrographs of colon sections depicting immunohistochemical analyses; brown color indicates specific immunostaining of Keap-1 and light blue color indicates counter staining by hematoxylin. The colonic section of DMH-administered group-II has more Keap-1, as indicated by brown color, as compared to control group I, while treatment of piperine (30 and 60 mg/kg b. wt.) in groups III and IV reduced Keap-1 immunopositive as compared to group II. Piperine significantly suppressed Keap-1 in group III and IV, respectively, (<span class="html-italic"><sup>##</sup> p</span> &lt; 0.01) and (<span class="html-italic"><sup>###</sup> p</span> &lt; 0.001), when compared with DMH-administered group-II. (<b>C</b>) Photomicrographs of colon sections depicting immunohistochemical analyses; brown color indicates specific immunostaining of NQO-1 and light blue color indicates counter-staining by hematoxylin. The colonic section of DMH-administered group-II has decreased immunopositive staining of NQO-1, as indicated by brown color, as compared to control group I, while treatment of piperine (30 and 60 mg/kg b. wt.) in groups III and IV increased NQO-1 as compared to group II. Piperine significantly upregulated NQO-1 in group III and IV, respectively, (<span class="html-italic"><sup>###</sup> p</span> &lt; 0.001) when compared with DMH-administered group-II. (<b>D</b>) Photomicrographs of colon sections depicting immunohistochemical analyses; brown color indicates specific immunostaining of HO-1 and light blue color indicates counter-staining by hematoxylin. The colonic section of DMH-administered group-II has decreased immunopositive staining of HO-1, as indicated by brown color, as compared to control group I while treatment of piperine (30 and 60 mg/kg b. wt.) in groups III and IV increased HO-1 as compared to group II. Piperine significantly upregulated HO-1 in group III and IV, respectively, (<span class="html-italic"><sup>##</sup> p</span> &lt; 0.01) and (<span class="html-italic"><sup>###</sup> p</span> &lt; 0.001), when compared with DMH-administered group-II. All images have original magnification of 40× (<span class="html-italic">n</span> = 10).</p>
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<p>Piperine treatment mitigates ROS. In DMH-administered group-II, a tremendous amount of ROS was produced (<span class="html-italic">*** p</span> &lt; 0.001) as compared to group-I. Treatment with piperine (30 and 60 mg/kg b. wt.) significantly mitigated ROS levels in group III (<span class="html-italic"><sup>##</sup> p</span> &lt; 0.01) and group IV (<span class="html-italic"><sup>##</sup> p</span> &lt; 0.01) as compared to group II (<span class="html-italic">n</span> = 10).</p>
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<p>Piperine treatment alleviates MDA levels. In DMH-administered/tumor group-II, the MDA level was increased significantly (<span class="html-italic">*** p</span> &lt; 0.001) as compared to control group. Treatment with piperine (30 and 60 mg/kg b. wt.) significantly alleviated MDA levels in group III (<span class="html-italic"><sup>##</sup> p</span> &lt; 0.01) and group IV (<span class="html-italic"><sup>###</sup> p</span> &lt; 0.001) as compared to group II (<span class="html-italic">n</span> = 10).</p>
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<p>Effect of piperine treatment on pNF-κB expression. Photomicrographs of colon sections depicting immunohistochemical analyses; brown color indicates specific immunostaining of pNF-κB and light blue color indicates counter-staining by hematoxylin. The colonic section of DMH-administered group-II has more pNF-κB immunopositive staining, as indicated by brown color, as compared to control group I, while treatment of piperine (30 and 60 mg/kg b. wt.) in groups III and IV reduced pNF-κB immunopositive staining as compared to group II (<span class="html-italic">n</span> = 10). Piperine significantly downregulated pNF-κB in group III and IV, respectively, (<span class="html-italic"><sup>##</sup> p</span> &lt; 0.01) and (<span class="html-italic"><sup>###</sup> p</span> &lt; 0.001), when compared with DMH-administered group-II (<span class="html-italic">n</span> = 10). Original magnification: 40×.</p>
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<p>Effect of piperine and DMH-administered group on nitrite levels. In DMH administered group-II, the nitrite levels were significantly increased (<span class="html-italic">*** p</span> &lt; 0.001) as compared to control group-I. Treatment with piperine significantly (30 and 60 mg/kg b. wt.) attenuated nitrite levels in group III (<span class="html-italic"><sup>#</sup> p</span> &lt; 0.05) and group IV (<span class="html-italic"><sup>###</sup> p</span> &lt; 0.001) as compared to group-II (<span class="html-italic">n</span> = 10).</p>
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<p>Effect of piperine and DMH-administered group on MPO levels. In DMH-administered group-II, the MPO levels were significantly increased (<span class="html-italic">*** p</span> &lt; 0.001) as compared to control group-I. Treatment with piperine significantly (30 and 60 mg/kg b. wt.) attenuated MPO levels in group III (<span class="html-italic"><sup>##</sup> p</span> &lt; 0.05) and group IV (<span class="html-italic"><sup>##</sup> p</span> &lt; 0.01) as compared to group-II (<span class="html-italic">n</span> = 10).</p>
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<p>Photomicrographs showing mucin staining. There is decrease in mucin in mucous layer in DMH administered group, which is depicted by blue staining, when compared with control. Treatment with piperine increased mucous layer, as we can see from the lesser appearance of blue staining pattern in III and IV slides, representing groups III and IV (<span class="html-italic">n</span> = 10).</p>
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<p>Effect of Piperine treatment on DMH-administered pathological changes in rat colon tissues. Photomicrographs of H&amp;E staining of histological sections of colon tissue depicting different experimental groups: group-I indicate normal histo-architecture of colon sections. Group-II shows extensive disintegration of normal architecture in DMH administered group. In groups III and IV piperine treatment showed protection against piperine-induced pathological changes. Both the doses of piperine maintained the integrity of mucous membrane, goblet cells and colonic crypts (<span class="html-italic">n</span> = 10), magnification: 40×.</p>
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8 pages, 1126 KiB  
Article
Can Chitin and Chitosan Replace the Lichen Evernia prunastri for Environmental Biomonitoring of Cu and Zn Air Contamination?
by Stefano Loppi, Andrea Vannini, Fabrizio Monaci, Daniel Dagodzo, Felix Blind, Michael Erler and Stefan Fränzle
Biology 2020, 9(9), 301; https://doi.org/10.3390/biology9090301 - 19 Sep 2020
Cited by 5 | Viewed by 3474
Abstract
This study compared the ability of the lichen Evernia prunastri, chitin and chitosan to take up Cu2+ and Zn2+. It was hypothesized that chitin and chitosan have an accumulation capacity comparable to the lichen, so that these biopolymers could [...] Read more.
This study compared the ability of the lichen Evernia prunastri, chitin and chitosan to take up Cu2+ and Zn2+. It was hypothesized that chitin and chitosan have an accumulation capacity comparable to the lichen, so that these biopolymers could replace the use of E. prunastri for effective biomonitoring of Cu and Zn air pollution. Samples of the lichen E. prunastri, as well as chitin (from shrimps) and chitosan (from crabs), were incubated with Cu and Zn solutions at concentrations of 0 (control), 10, 25, 50, 75, and 100 µM and analyzed by Inductively Coupled Plasma Mass Spectrometry (ICP-MS). Metal concentrations accumulated by lichen, chitin and chitosan samples were strongly and linearly correlated with the concentrations in the treatment solutions. The lichen always showed significantly higher accumulation values compared to chitin and chitosan, which showed similar accumulation features. The outcomes of this study confirmed the great effectiveness of the lichen Evernia prunastri for environmental biomonitoring and showed that chitin and chitosan have a lower accumulation capacity, thus suggesting that although these biopolymers have the potential for replacing E. prunastri in polluted areas, their suitability may be limited in areas with intermediate or low pollution levels. Full article
(This article belongs to the Section Plant Science)
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<p>Copper and zinc concentrations (µg/g) in lichen, chitin, and chitosan samples after incubation with Cu (<b>left</b>) and Zn (<b>right</b>) solutions at the concentration 0 (control), 10, 25, 50, 75, and 100 µM. The grey area indicates the IC95 confidence interval.</p>
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<p>Copper and zinc accumulation (ratio between treated and control value ± SE) in lichen, chitin, and chitosan samples after incubation with Cu (up) and Zn (down) solutions at the concentration of 10, 25, 50, 75, and 100 µM. Different letters (a, b) indicate statistical significant differences between matrices (<span class="html-italic">p</span> &lt; 0.05).</p>
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<p>Copper and zinc accumulation (ratio between treated and control value ± SE) in lichen, chitin, and chitosan samples after incubation with Cu (up) and Zn (down) solutions at the concentration of 10, 25, 50, 75, and 100 µM. Different letters (a, b) indicate statistical significant differences between matrices (<span class="html-italic">p</span> &lt; 0.05).</p>
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13 pages, 797 KiB  
Article
Effect of Sperm Concentration and Storage Temperature on Goat Spermatozoa during Liquid Storage
by Sara Sadeghi, Raquel Del Gallego, Balma García-Colomer, Ernesto A. Gómez, Jesús L. Yániz, Jaime Gosálvez, Carmen López-Fernández and Miguel A. Silvestre
Biology 2020, 9(9), 300; https://doi.org/10.3390/biology9090300 - 19 Sep 2020
Cited by 21 | Viewed by 5323
Abstract
The use of cooled semen is relatively common in goats. There are a number of advantages of cooled semen doses, including easier handling of artificial insemination (AI) doses, transport, more AI doses per ejaculate, and higher fertility rates in comparison with frozen AI [...] Read more.
The use of cooled semen is relatively common in goats. There are a number of advantages of cooled semen doses, including easier handling of artificial insemination (AI) doses, transport, more AI doses per ejaculate, and higher fertility rates in comparison with frozen AI doses. However, cooled semen has a short shelf life. The objective of this study was to examine the effect of temperature and sperm concentration on the in vitro sperm quality during liquid storage for 48 h, including sperm motility and kinetics, response to oxidation, mitochondrial membrane potential (MMP) and DNA fragmentation in goats. Three experiments were performed. In the first, the effects of liquid preservation of semen at different temperatures (5 °C or 17 °C), durations (0, 24 and 48 h) and sperm concentrations (250 × 106 sperm/mL (1:2 dilution rate), 166.7 × 106 sperm/mL (1:3 dilution rate) or 50 × 106 sperm/mL (1:10 dilution rate)) on sperm motility and kinetics were studied. In the second experiment, the effect of temperature, sperm washing and concentration on sperm motility and DNA fragmentation was studied. Finally, the effect of sperm concentration and duration of storage at 5 °C on sperm motility, response to oxidative stress and MMP was examined. We found that refrigerated liquid storage of goat sperm impaired sperm quality, such as motility, MMP and response to oxidation, as storage time increased; however, sperm DNA fragmentation index was not significantly affected. Liquid storage at 5 °C preserved higher total motility than at 17 °C. Moreover, we observed that the reduction of sperm concentration below 500 × 106 sperm/mL did not seem to improve the quality of spermatozoa conserved in milk-based extender in the conditions tested. Full article
(This article belongs to the Special Issue Factors Affecting In Vitro Assessment of Sperm Quality)
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<p>Effect of different temperatures (5 °C or 17 °C) and duration of liquid storage on total (TM) and progressive (PM) sperm motility of goat spermatozoa.</p>
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<p>Effect of dilution and washing (washed: W vs. not washed: UW) on velocities (VLC, VSL and VAP) of goat spermatozoa after liquid storage.</p>
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19 pages, 2408 KiB  
Article
Pandæsim: An Epidemic Spreading Stochastic Simulator
by Patrick Amar
Biology 2020, 9(9), 299; https://doi.org/10.3390/biology9090299 - 18 Sep 2020
Cited by 4 | Viewed by 2991
Abstract
Many methods have been used to model epidemic spreading. They include ordinary differential equation systems for globally homogeneous environments and partial differential equation systems to take into account spatial localisation and inhomogeneity. Stochastic differential equations systems have been used to model the inherent [...] Read more.
Many methods have been used to model epidemic spreading. They include ordinary differential equation systems for globally homogeneous environments and partial differential equation systems to take into account spatial localisation and inhomogeneity. Stochastic differential equations systems have been used to model the inherent stochasticity of epidemic spreading processes. In our case study, we wanted to model the numbers of individuals in different states of the disease, and their locations in the country. Among the many existing methods we used our own variant of the well known Gillespie stochastic algorithm, along with the sub-volumes method to take into account the spatial localisation. Our algorithm allows us to easily switch from stochastic discrete simulation to continuous deterministic resolution using mean values. We applied our approaches on the study of the Covid-19 epidemic in France. The stochastic discrete version of Pandæsim showed very good correlations between the simulation results and the statistics gathered from hospitals, both on day by day and on global numbers, including the effects of the lockdown. Moreover, we have highlighted interesting differences in behaviour between the continuous and discrete methods that may arise in some particular conditions. Full article
(This article belongs to the Special Issue Theories and Models on COVID-19 Epidemics)
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<p>State graph of the evolution of a viral infection. The states are: susceptible (S), asymptomatic (A), ill (I), hospitalised (H), recovered (R) and deceased (D). The black arrows show the transitions between the states, and the dotted red arrows show the possible infections.</p>
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<p>Results of simulations of the Val-de-Marne sub-region, without any possibility of travel outside or inside this sub-region. The results of the deterministic continuous resolution are shown with a black curve. The means and standard deviations of 1000 stochastic discrete simulations of the same model are plotted with red bars. The top view shows the number of ill individuals, while the bottom view shows the cumulated number of deaths.</p>
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<p>Results of simulations of the Val-de-Marne sub-region, without any possibility of travel outside or inside this sub-region. The results of the deterministic continuous resolution are shown with a black curve. The means and standard deviations of 1000 stochastic discrete simulations of the same model are plotted with red bars. The top view shows the number of ill individuals, while the bottom view shows the cumulated number of deaths.</p>
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<p>The means and standard deviations of 1000 stochastic discrete simulations of the same model. The susceptible population is plotted in red, the recoverd population in black, both with error bars every 10 days.</p>
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<p>Number of deaths from the 873 (over 1000) simulations of the Loiret sub-region, without any possibility of travel outside or inside this sub-region. The mean is plotted in black; the standard deviation is the yellow area surrounded by the red lines.</p>
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<p>This map shows the real number of deceased people in each sub-region on 24 August. A zoomed image of Paris and its surroundings is displayed on the top left corner of the picture, while Corsica is displayed on its left side. The colours of the circles enclosing the numbers indicate their orders of magnitude: light blue (&lt;10), cyan (&lt;100), green (&lt;500), orange (&lt;1000), red (≥1000).</p>
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<p>This map shows the mean number of deceased people in each sub-region, obtained from 500 runs of a stochastic simulation with the 55 day lockdown period.</p>
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<p>Deterministic continuous resolution of the model using the same parameter values as those of the stochastic simulations shown on <a href="#biology-09-00299-f006" class="html-fig">Figure 6</a>. When the number of deaths is 0, the name of the département is displayed instead.</p>
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<p>The black curve shows the daily number of ill individuals in the country. It is the mean of 1000 runs of a stochastic simulation plotted with bars every 10 days showing the standard deviation. The red curve is a deterministic continuous resolution of the same model in the same conditions.</p>
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<p>The black curve shows the cumulated number of deaths in the whole country. It is the mean of 1000 runs of a stochastic simulation plotted with bars every 10 days showing the standard deviation. The red curve is a deterministic continuous resolution of the same model in the same conditions.</p>
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20 pages, 2223 KiB  
Article
Antioxidant, Antimicrobial, and Bioactive Potential of Two New Haloarchaeal Strains Isolated from Odiel Salterns (Southwest Spain)
by Patricia Gómez-Villegas, Javier Vigara, Marta Vila, João Varela, Luísa Barreira and Rosa Léon
Biology 2020, 9(9), 298; https://doi.org/10.3390/biology9090298 - 18 Sep 2020
Cited by 29 | Viewed by 4469
Abstract
The need to survive in extreme environments has furnished haloarchaea with a series of components specially adapted to work in such conditions. The possible application of these molecules in the pharmaceutical and industrial fields has received increasing attention; however, many potential bioactivities of [...] Read more.
The need to survive in extreme environments has furnished haloarchaea with a series of components specially adapted to work in such conditions. The possible application of these molecules in the pharmaceutical and industrial fields has received increasing attention; however, many potential bioactivities of haloarchaea are still poorly explored. In this paper, we describe the isolation and identification of two new haloarchaeal strains from the saltern ponds located in the marshlands of the Odiel River, in the southwest of Spain, as well as the in vitro assessment of their antioxidant, antimicrobial, and bioactive properties. The acetone extract obtained from the new isolated Haloarcula strain exhibited the highest antioxidant activity, while the acetone extracts from both isolated strains demonstrated a strong antimicrobial activity, especially against other halophilic microorganisms. Moreover, these extracts showed a remarkable ability to inhibit the enzyme cyclooxygenase-2 and to activate the melanogenic enzyme tyrosinase, indicating their potential against chronic inflammation and skin pigmentation disorders. Finally, the aqueous protein-rich extracts obtained from both haloarchaea exhibited an important inhibitory effect on the activity of the acetylcholinesterase enzyme, involved in the hydrolysis of cholinergic neurotransmitters and related to several neurological diseases. Full article
(This article belongs to the Special Issue Extremophilic Archaea)
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<p>Molecular Phylogenetic Analysis by Maximum Likelihood Method. The trees represent a comparison among the 16S rRNA sequences from the new strains isolated, <span class="html-italic">H. hispanica</span> HM1 (<b>A</b>) and <span class="html-italic">H. salinarum</span> HM2 (<b>B</b>), and a series of reference archaeal sequences. Multiple alignments were generated by MUSCLE (MUltiple Sequence Comparison by Log-Expectation) and the trees were constructed with MEGA 7. The numbers at nodes indicate the bootstrap values calculated for 1000 replicates. The name and the NCBI access number are indicated for all the reference sequences. Black triangles indicate the new strains identified.</p>
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<p>Antioxidant activity of aqueous and acetone extracts (1 mg mL<sup>−1</sup>) obtained from the haloarchaeal strains <span class="html-italic">H. hispanica</span> HM1 and <span class="html-italic">H. salinarum</span> HM2, determined by DPPH (1,1-Diphenyl-2-picrylhydrazyl) and ABTS (2,2′-azino-bis(3-ethylbenzothiazoline-6-sulfonic acid)) radical scavenging assays, or FRP (Ferrous ion reduction potential) and CCA (Copper chelating activity). For each assay, the data were submitted to one-way variance analysis (ANOVA). Bars are followed by different superscript letters (a, b or c), which denote groups with significant differences according to the Duncan’s Multiple Range Test (<span class="html-italic">p</span> &lt; 0.05) (<b>A</b>). The half maximal inhibitory or effective concentration (IC<sub>50</sub> or EC<sub>50</sub>) were calculated when the activity was higher than 65% (<b>B</b>). These values were normalized to the content of proteins and carotenoids in the extracts, being the protein concentration of the aqueous extract 47 and 30 µg per mg DW and the carotenoid content of 10 and 12 µg per mg DW, respectively, for <span class="html-italic">H. hispanica</span> HM1 and <span class="html-italic">H. salinarum</span> HM2.</p>
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<p>In vitro activity of haloarchaeal extracts on enzymes related to diabetic, neurodegenerative skin pigmentation, and inflammatory diseases. Percentages of inhibition of the enzymes: α-amylase, α-glucosidase, acetylcholinesterase (AChE), tyrosinase (TYRO) and cyclooxygenase 2 (COX-2) by the all extracts obtained in different solvents (hexane, dichloromethane, ethyl acetate, chloroform, aqueous buffer and acetone) from <span class="html-italic">H. hispanica</span> HM1 (<b>A</b>) and <span class="html-italic">H. salinarum</span> HM2 (<b>B</b>) strains are represented. A known inhibitor for each enzyme was included as control. For each assay, the data were submitted to one-way variance analysis (ANOVA). Bars are followed by different superscript letters (a–f), which denote groups with significant differences according to the Duncan’s Multiple Range Test (<span class="html-italic">p</span> &lt; 0.05).</p>
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<p>Antimicrobial activity of acetone extracts. Antimicrobial activity was indicated by zones of inhibition of growth or halos. Taking into account the diameter of the halo, the susceptibility of the different microorganisms to the extracts was classified in four reference groups: (<b>A</b>) 0.5–1 cm (+) in <span class="html-italic">Bacillus cereus</span>; (<b>B</b>) 1–2 cm (++) in <span class="html-italic">Staphylococcus aureus</span>; (<b>C</b>) 2–4 cm (+++) in <span class="html-italic">Dunaliella bardawil</span> and (<b>D</b>) 4–6 cm (++++) in <span class="html-italic">Dunaliella salina</span>.</p>
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<p>Minimal Inhibitory Concentration plate assay. Dilutions of the active extracts were assayed against one of the most susceptible microorganisms of each group. Halophilic microorganisms, represented by <span class="html-italic">Dunaliella salina</span> and <span class="html-italic">Halogeometricum,</span> showed to be more sensitive to the extracts.</p>
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17 pages, 5883 KiB  
Article
Salt Stress-Induced Structural Changes Are Mitigated in Transgenic Tomato Plants Over-Expressing Superoxide Dismutase
by Liliya R. Bogoutdinova, Elena M. Lazareva, Inna A. Chaban, Neonila V. Kononenko, Tatyana Dilovarova, Marat R. Khaliluev, Ludmila V. Kurenina, Alexander A. Gulevich, Elena A. Smirnova and Ekaterina N. Baranova
Biology 2020, 9(9), 297; https://doi.org/10.3390/biology9090297 - 18 Sep 2020
Cited by 21 | Viewed by 4235
Abstract
Various abiotic stresses cause the appearance of reactive oxygen species (ROS) in plant cells, which seriously damage the cellular structures. The engineering of transgenic plants with higher production of ROS-scavenging enzyme in plant cells could protect the integrity of such a fine intracellular [...] Read more.
Various abiotic stresses cause the appearance of reactive oxygen species (ROS) in plant cells, which seriously damage the cellular structures. The engineering of transgenic plants with higher production of ROS-scavenging enzyme in plant cells could protect the integrity of such a fine intracellular structure as the cytoskeleton and each cellular compartment. We analyzed the morphological changes in root tip cells caused by the application of iso-osmotic NaCl and Na2SO4 solutions to tomato plants harboring an introduced superoxide dismutase gene. To study the roots of tomato plants cultivar Belyi Naliv (WT) and FeSOD-transgenic line, we examined the distribution of ROS and enzyme-linked immunosorbent detection of α-tubulin. In addition, longitudinal sections of the root apexes were compared. Transmission electronic microscopy of atypical cytoskeleton structures was also performed. The differences in the microtubules cortical network between WT and transgenic plants without salt stress were detected. The differences were found in the cortical network of microtubules between WT and transgenic plants in the absence of salt stress. While an ordered microtubule network was revealed in the root cells of WT tomato, no such degree of ordering was detected in transgenic line cells. The signs of microtubule disorganization in root cells of WT plants were manifested under the NaCl treatment. On the contrary, the cytoskeleton structural organization in the transgenic line cells was more ordered. Similar changes, including the cortical microtubules disorganization, possibly associated with the formation of atypical tubulin polymers as a response to salt stress caused by Na2SO4 treatment, were also observed. Changes in cell size, due to both vacuolization and impaired cell expansion in columella zone and cap initials, were responsible for the root tip tissue modification. Full article
(This article belongs to the Section Plant Science)
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<p>Transverse sections of root tips from wild-type (WT) (<b>a</b>–<b>c</b>) and transgenic tomato (<b>d</b>–<b>f</b>) plants grown without and supplemented with NaCl and Na<sub>2</sub>SO<sub>4</sub>. Modification of meristem and cap cells while the imitation of salinity effects in vitro culture. Responsiveness of the following parameters to salt stress is shown: the size and shape of the columella zone cells from the root cap (indicated by a vertical column with an average number of columella cell layers) and the initials extending from the meristematic zone (mz) from the root tip. Symbols: circle–stele cells, square–cortex cells, pentagon–columella cells. Scale bar: 50 μm. Transverse sections of root tips show the average number of columella cell layers. Values followed by the same letter significantly do not differ by Duncan’s test (α = 0.05) (50 transverse sections of root tips from five independent plants).</p>
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<p>Fragments of transverse sections of root tips showing the zone of cap initials forming apex columella from WT (<b>a</b>–<b>c</b>) and transgenic tomato (<b>d</b>–<b>f</b>) plants grown without (<b>a</b>,<b>d</b>), and supplemented with the NaCl (<b>b</b>,<b>e</b>) and Na<sub>2</sub>SO<sub>4</sub> (<b>c</b>,<b>f</b>). Modification of the cell walls of root apical meristem and cap cells of the tomato root tip is shown. The thickness and location of adjacent layers related to the cap initials, the transformation of the size and shape are visible as the most sensitive targets for salts treatments. Symbols: mz–meristem zone; cz–columella zone.</p>
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<p>Distribution of reactive oxygen species (ROS) in the different zones of tomato roots. WT (<b>a</b>–<b>c</b>) and transgenic line 19 (<b>d</b>–<b>f</b>) plants were grown without, and with the addition of NaCl and Na<sub>2</sub>SO<sub>4</sub>. A change in the localization of ROS in the meristem and cap cells of the root tip is shown as a modification of fluorescence.</p>
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<p>Tubuline cytoskeleton in cell cycle interphase of root cells from WT (<b>a</b>–<b>c</b>) and transgenic tomato (<b>d</b>–<b>f</b>) plants grown without, and with the addition of NaCl and Na<sub>2</sub>SO<sub>4</sub>. Nuclei were stained with DAPI (<b>blue</b>); microtubules were detected using antibodies to α-tubuline (<b>green</b>). While the bundles of microtubules are located in the cortical cytoplasm, microtubules are not visible in the perinuclear region in the interphase cells. Tomato root cells have obvious multiple lesions in the location of microtubules under the NaCl, Na<sub>2</sub>SO<sub>4</sub>. Cells form multiple chaotically arranged bundles and do not maintain peripheral position, which indicates violations in the process of cytoskeleton transformation, as a highly dynamic structure.</p>
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<p>Ultrastructure of root cell from WT (<b>a</b>–<b>c</b>) and Fe-SOD-transgenic tomato (<b>d</b>–<b>f</b>) plants grown without and supplemented with NaCl and Na<sub>2</sub>SO<sub>4</sub>. Symbols: mt—microtubules, cw—cell wall, m–mitochondrion, v—vacuole, p—plastid, c—atypical cytoskeleton structure. Scale bars—250 nM.</p>
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28 pages, 2398 KiB  
Article
A Putative Prophylactic Solution for COVID-19: Development of Novel Multiepitope Vaccine Candidate against SARS-COV-2 by Comprehensive Immunoinformatic and Molecular Modelling Approach
by Hafiz Muzzammel Rehman, Muhammad Usman Mirza, Mian Azhar Ahmad, Mahjabeen Saleem, Matheus Froeyen, Sarfraz Ahmad, Roquyya Gul, Huda Ahmed Alghamdi, Muhammad Shahbaz Aslam, Muhammad Sajjad and Munir Ahmad Bhinder
Biology 2020, 9(9), 296; https://doi.org/10.3390/biology9090296 - 18 Sep 2020
Cited by 18 | Viewed by 5551
Abstract
The outbreak of 2019-novel coronavirus (SARS-CoV-2) that causes severe respiratory infection (COVID-19) has spread in China, and the World Health Organization has declared it a pandemic. However, no approved drug or vaccines are available, and treatment is mainly supportive and through a few [...] Read more.
The outbreak of 2019-novel coronavirus (SARS-CoV-2) that causes severe respiratory infection (COVID-19) has spread in China, and the World Health Organization has declared it a pandemic. However, no approved drug or vaccines are available, and treatment is mainly supportive and through a few repurposed drugs. The urgency of the situation requires the development of SARS-CoV-2-based vaccines. Immunoinformatic and molecular modelling are time-efficient methods that are generally used to accelerate the discovery and design of the candidate peptides for vaccine development. In recent years, the use of multiepitope vaccines has proved to be a promising immunization strategy against viruses and pathogens, thus inducing more comprehensive protective immunity. The current study demonstrated a comprehensive in silico strategy to design stable multiepitope vaccine construct (MVC) from B-cell and T-cell epitopes of essential SARS-CoV-2 proteins with the help of adjuvants and linkers. The integrated molecular dynamics simulations analysis revealed the stability of MVC and its interaction with human Toll-like receptors (TLRs), which trigger an innate and adaptive immune response. Later, the in silico cloning in a known pET28a vector system also estimated the possibility of MVC expression in Escherichia coli. Despite that this study lacks validation of this vaccine construct in terms of its efficacy, the current integrated strategy encompasses the initial multiple epitope vaccine design concepts. After validation, this MVC can be present as a better prophylactic solution against COVID-19. Full article
(This article belongs to the Special Issue Theories and Models on COVID-19 Epidemics)
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<p>3D representation of discontinuous epitopes of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) spike, Mpro, Nsp12 RNA polymerase, and Nsp13 helicase.</p>
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<p>Molecular modeling of vaccine construct. (<b>A</b>) Structural representation of multiepitope vaccine construct (MVC) is displayed with regions (helper T lymphocytes (HTL), cytotoxic T-lymphocyte (CTL) epitopes, linkers, and adjuvants) highlighted accordingly. (<b>B</b>) Root mean square deviation trajectory (RMSD) of MVC analyzed over a period of 50 ns molecular dynamics (MD) simulations. (<b>C</b>) Ramachandhran evaluations of MVC before and after refinement through MD simulations.</p>
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<p>Toll-like receptor (TLR) complexed with a multiepitope vaccine construct (MVC). (<b>A</b>) Conformation of TLR4/MVC and (<b>B</b>) TLR3/MVC complex before and after 50 ns MD simulations, together with the RMSD plot at the bottom indicating the all-atom backbone deviation of TLR (in black) and MVC (in red). (<b>C</b>) Plot of radius of gyration (RoG) and (<b>D</b>) solvent-accessible surface area of TLR4/MVC complex throughout 50 ns MD simulation and TLR3/MVC (<b>E</b>,<b>F</b>).</p>
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<p>In silico cloning of the multiepitope vaccine construct (MVC). The cDNA of the MVC (yellow) was inserted at the upstream of the T7 promoter.</p>
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<p>Computational immune simulation by C-Immsim using MVC as antigen. (<b>A</b>) Immunoglobulin/antibodies titer in response to antigen injection. (<b>B</b>) Production of interleukin (IL) and cytokines in response to antigen.</p>
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27 pages, 540 KiB  
Review
Review on the Computational Genome Annotation of Sequences Obtained by Next-Generation Sequencing
by Girum Fitihamlak Ejigu and Jaehee Jung
Biology 2020, 9(9), 295; https://doi.org/10.3390/biology9090295 - 18 Sep 2020
Cited by 56 | Viewed by 15720
Abstract
Next-Generation Sequencing (NGS) has made it easier to obtain genome-wide sequence data and it has shifted the research focus into genome annotation. The challenging tasks involved in annotation rely on the currently available tools and techniques to decode the information contained in nucleotide [...] Read more.
Next-Generation Sequencing (NGS) has made it easier to obtain genome-wide sequence data and it has shifted the research focus into genome annotation. The challenging tasks involved in annotation rely on the currently available tools and techniques to decode the information contained in nucleotide sequences. This information will improve our understanding of general aspects of life and evolution and improve our ability to diagnose genetic disorders. Here, we present a summary of both structural and functional annotations, as well as the associated comparative annotation tools and pipelines. We highlight visualization tools that immensely aid the annotation process and the contributions of the scientific community to the annotation. Further, we discuss quality-control practices and the need for re-annotation, and highlight the future of annotation. Full article
(This article belongs to the Special Issue Computational Biology)
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<p>Genome annotation workflow.</p>
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20 pages, 4712 KiB  
Article
A Poplar Rust Effector Protein Associates with Protein Disulfide Isomerase and Enhances Plant Susceptibility
by Mst Hur Madina, Md Saifur Rahman, Xiaoqiang Huang, Yang Zhang, Huanquan Zheng and Hugo Germain
Biology 2020, 9(9), 294; https://doi.org/10.3390/biology9090294 - 16 Sep 2020
Cited by 9 | Viewed by 4563
Abstract
Melampsora larici-populina (Mlp), the causal agent of Populus leaf rust, secretes an array of effectors into the host through the haustorium to gain nutrients and suppress immunity. The precise mechanisms by which these effectors promote virulence remain unclear. To address this question, [...] Read more.
Melampsora larici-populina (Mlp), the causal agent of Populus leaf rust, secretes an array of effectors into the host through the haustorium to gain nutrients and suppress immunity. The precise mechanisms by which these effectors promote virulence remain unclear. To address this question, we developed a transgenic Arabidopsis line expressing a candidate effector, Mlp124357. Constitutive expression of the effector increased plant susceptibility to pathogens. A GxxxG motif present in Mlp124357 is required for its subcellular localization at the vacuolar membrane of the plant cell, as replacement of the glycine residues with alanines led to the delocalization of Mlp124357 to the nucleus and cytoplasm. We used immunoprecipitation and mass spectrometry (MS) to identify Mlp124357 interaction partners. Only one of the putative interaction partners knock-out line caused delocalization of the effector, indicating that Arabidopsis protein disulfide isomerase-11 (AtPDI-11) is required for the effector localization. This interaction was further confirmed by a complementation test, a yeast-two hybrid assay and a molecular modeling experiment. Moreover, localization results and infection assays suggest that AtPDI-11 act as a helper for Mlp124357. In summary, our findings established that one of Mlp effectors resides at the vacuole surface and modulates plant susceptibility. Full article
(This article belongs to the Section Plant Science)
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<p>Selection and phylogenetic analysis of Mlp124357. (<b>A</b>) Schematic representation of protein topology of Mlp124357. N-terminus of Mlp124357 contains a secretory signal peptide (SP) (<b>B</b>) Multiple sequence alignment of the ten effector proteins that are the members of the <span class="html-italic">M. larici-populina</span> CPG4890 SSP family. Predicted signal peptides (SP) are marked with a line. Black boxes indicate conserved residues and grey boxes indicate similar residues. (<b>C</b>) Phylogenetic tree of the CPG4890 gene family, obtained with CLC workbench using the Kimura protein distance value and neighbor-joining tree method. Bootstrap values are indicated.</p>
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<p>Mlp124357 expression <span class="html-italic">in planta</span> affects the plant susceptibility to bacterial and oomycete pathogens. (<b>A</b>) Schematic representation of the T-DNA construct used for <span class="html-italic">in planta</span> expression of the Mlp124357 mature coding sequence. (<b>B</b>) Morphology of wild-type (Col-0) expressing eGFP or Mlp124357-eGFP. Photographs were taken from 4-week-old soil-grown plants. (<b>C</b>) Growth of PstDC3000 bacteria in <span class="html-italic">Arabidopsis</span>. Leaves of each genotype were infiltrated with a <span class="html-italic">Pst</span>DC3000 bacterial suspension (OD600 = 0.001) and the bacterial growth was measured on day 0 and day 3 after infection. Statistical significance was evaluated using a Student’s <span class="html-italic">t-test</span> (<span class="html-italic">p</span> &lt; 0.05); asterisk indicates a statistically significant difference between plants carrying effector and Col-0-GFP. Five replicates were used for each genotype; cfu, colony-forming unit. (<b>D</b>) Growth of <span class="html-italic">H. arabidopsidis</span> Noco2 in <span class="html-italic">Arabidopsis</span>. Each genotype was spray inoculated with <span class="html-italic">H. arabidopsidis</span> Noco2 spores (20,000 conidiospores/mL) and the number of conidiospores was quantified 7 days after inoculation. Statistical significance was evaluated using ANOVA (<span class="html-italic">p</span> &lt; 0.05) with Tukey’s test. Letters denote a significant difference between Col-0-eGFP, Mlp124357eGFP, and <span class="html-italic">eds1</span>. FW, fresh weight. Both bacterial and oomycete infection experiments were repeated at least three times and representative data are shown.</p>
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<p>Mlp124357 possesses a GxxxG motif that is required for the interaction with tonoplasts. (<b>A</b>) Schematic representation of the GxxxG motif in the C-terminus region of Mlp124357. (<b>B</b>) A predicted helical wheel projection of Mlp124357. The glycine residues at positions 76 and 80 are indicated by square boxes. (<b>C</b>) Fluorescence imaging of <span class="html-italic">N. benthamiana</span> cells expressing eGFP fusions of Mlp124357 and Mlp124357 <sup>GA</sup> mutant at 2 dpi using confocal microscopy of epidermal cells. (<b>D</b>) Morphology of each genotype. Photographs are from 4-week-old soil-grown plants. (<b>E</b>) Leaves of each genotype were infiltrated with a PstDC3000 bacterial suspension at OD 600 = 0.001 and bacterial growth was quantified in colony-forming units (cfu) on day 0 and day 3 after infection. One-way ANOVA (<span class="html-italic">p</span> &lt; 0.05) with Tukey’s test was performed. The asterisk indicates a statistically significant difference between Col-0-eGFP, Mlp124357-eGFP, and Mlp124357GA-eGFP. Five replicates were used for each genotype. (<b>F</b>) Each genotype was spray inoculated with <span class="html-italic">H. arabidopsidis</span> Noco2 spores (20,000 conidiospores/mL) and the number of conidiospores was quantified 7 days after inoculation. Statistical significance was evaluated using one-way ANOVA with Tukey’s test (significance set at <span class="html-italic">p</span> &lt; 0.05). The asterisk denotes a significant difference between Col-0-eGFP, Mlp124357-eGFP, and Mlp124357GA-eGFP. FW, fresh weight. Both bacterial and oomycete infection experiments were repeated at least three times and representative data are shown.</p>
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<p>Protein Disulfide Isomerase 11 as a potential plant interactor of Mlp124357. (<b>A</b>) The five tonoplast-localized proteins selected from the IP/MS list. (<b>B</b>) Interaction between Mlp124357 and AtPDI-11 or PtPDI was detected by a genetic analysis/complementation test. Live-cell imaging of leaf epidermal cells of each genotype. (<b>C</b>) Interaction between Mlp124357 and AtPDI-11 or PtPDI was evaluated by Y2H. The plates were photographed 2 days after inoculation.</p>
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<p>Molecular modeling also supports the association of AtPDI-11 and Mlp124357 effector. (<b>A</b>) Ab initio structure of Mlp124357. (<b>B</b>) Predicted structure and catalytic sites of PtPDI (left-green) and AtPDI-11 (right-blue). TM-scores have values between 0 and 1, where 1 indicates a perfect match between two structures. (<b>C</b>) Functional approach of docking between Mlp124357 and PtPDI. (<b>D</b>) The orientation and interactions of PtPDI-Mlp124357 (upper panel) and AtPDI-Mlp124357 (lower panel) complexes.</p>
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<p>The Mlp124357-PDI association takes place in an effector-specific manner. Co-expression of a prey construct containing AtPDI-11, with Mlp124357, Mlp1104486, Mlp51108708, Mlp772983, Mlp3351690, Mlp1123281, Mlp752166, Mlp3353845, Mlp151107359, or Mlp786274 as baits in yeast to test interaction between PDI and effectors containing multiple cysteines. Yeast co-expressing the indicated combination of bait and prey were spotted on the synthetic double dropout medium lacking leucine and tryptophan (SD/-LW (DDO)) to show the expression of both constructs and quadruple dropout medium lacking leucine, tryptophan, histidine, and adenine (SD/-LWHA (QDO)) to reveal an interaction. Only yeast co-expressing AtPDI-11 and Mlp124357 grew on SD/-LWHA plates. The plates were photographed 2 days after inoculation.</p>
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<p>PDI-11 is not involved in plant immunity. (<b>A</b>) Morphology of each genotype that were used for the infection assays. Photographs were taken from 4-week-old soil-grown plants. (<b>B</b>) Growth of PstDC3000 bacteria in <span class="html-italic">Arabidopsis</span>. One-way ANOVA (<span class="html-italic">p</span> &lt; 0.05) with Tukey’s test was performed to compare genotypes with GFP or without GFP. There was no difference between genotype without GFP. Different letters indicate statistically significant difference between Col-0-eGFP, Mlp124357-eGFP, Atpdi-11 x Mlp124357-eGFP, and AtPDI-11/Atpdi-11 x Mlp124357-eGFP. For each genotype five replicates were used; cfu, colony-forming unit. (<b>C</b>) Growth of <span class="html-italic">H. arabidopsidis</span> Noco2 oomycete in <span class="html-italic">Arabidopsis</span>. For genotypes without eGFP (Col-0, Atpdi-11, AtPDI-11/Atpdi-11, and <span class="html-italic">eds1</span>), significance was evaluated using ANOVA (<span class="html-italic">p</span> &lt; 0.05) with Tukey’s. For genotypes with eGFP (Col-0-eGFP, Mlp124357-eGFP, Atpdi-11 × Mlp124357-eGFP and AtPDI-11/Atpdi-11 × Mlp124357-eGFP) significance was evaluated using ANOVA (<span class="html-italic">p</span> &lt; 0.05, different capital letters denote significant difference) with Tukey’s test. FW, fresh weight. Both bacterial and oomycete infection experiments were repeated at least three times and representative data are shown.</p>
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<p>Transcriptome analysis of the <span class="html-italic">Arabidopsis</span> transgenic line expressing Mlp124357. Expression of Mlp124357 in <span class="html-italic">Arabidopsis</span> deregulates groups of genes associated with senescence, Fe homeostasis, and fungus defense. GO term enrichment analysis was performed with both up and deregulated genes filtered by Q-value ≤ 0.05 and fold-change ≥ 3 using the Cytoscape software (version 3.1.1). ClueGO plug-in of Cytoscape was used to visualize enriched functions for both up- and down-regulated genes.</p>
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9 pages, 254 KiB  
Communication
Maternal Obesity Does Not Exacerbate the Effects of LPS Injection on Pregnancy Outcomes in Mice
by Natasha Virginkar and Julian K. Christians
Biology 2020, 9(9), 293; https://doi.org/10.3390/biology9090293 - 16 Sep 2020
Viewed by 3054
Abstract
Obesity increases the risk of a number of pregnancy complications, potentially due to chronic inflammation. We predicted that an obesogenic high-fat diet (HFD) in mice would create an inflammatory environment that would exacerbate the effects of lipopolysaccharide (LPS), an inflammatory insult, administered during [...] Read more.
Obesity increases the risk of a number of pregnancy complications, potentially due to chronic inflammation. We predicted that an obesogenic high-fat diet (HFD) in mice would create an inflammatory environment that would exacerbate the effects of lipopolysaccharide (LPS), an inflammatory insult, administered during pregnancy. Females were placed on a HFD or a low-fat diet (LFD) prior to mating, injected with 2 µg LPS or control on gestational day 7 and collected on day 14. Treatment with LPS increased the odds that a female thought to be pregnant at injection had no conceptuses at day 14 (p = 0.024), suggesting that injection with LPS was more likely to induce complete abortion. However, there was no effect of diet on the odds of having no conceptuses at day 14 and no interaction between diet and LPS injection. Diet and LPS injection had no effect on the number of viable fetuses in females still pregnant at day 14. For fetal weight, there was a significant interaction between diet and treatment (p = 0.017), whereby LPS reduced fetal weight in HFD females but not in LFD females. However, LPS treatment of HFD females reduced fetal weight to that observed in control-injected LFD females. Although LPS increased the odds of abortion, there was little evidence that a HFD exacerbated the effects of LPS. Full article
(This article belongs to the Section Physiology)
20 pages, 7538 KiB  
Article
Cytotoxicity and Pro-Apoptotic, Antioxidant and Anti-Inflammatory Activities of Geopropolis Produced by the Stingless Bee Melipona fasciculata Smith
by Josianne Rocha Barboza, Francisco Assis Nascimento Pereira, Renan Amphilophio Fernandes, Cleydlenne Costa Vasconcelos, Maria do Socorro de Sousa Cartágenes, Alberto Jorge Oliveira Lopes, Andreia Cristina de Melo, Isabella dos Santos Guimarães, Cláudia Quintino da Rocha and Maria Nilce de Sousa Ribeiro
Biology 2020, 9(9), 292; https://doi.org/10.3390/biology9090292 - 15 Sep 2020
Cited by 9 | Viewed by 3958
Abstract
Geopropolis is produced by some stingless bee species, such as Melipona fasciculata Smith, a native species from Brazil. This study aims to investigate the antioxidant and anti-inflammatory activities and cytotoxicity effects of geopropolis hydroethanolic extracts against lung (H460 and A549) and ovarian (A2780 [...] Read more.
Geopropolis is produced by some stingless bee species, such as Melipona fasciculata Smith, a native species from Brazil. This study aims to investigate the antioxidant and anti-inflammatory activities and cytotoxicity effects of geopropolis hydroethanolic extracts against lung (H460 and A549) and ovarian (A2780 and ES2) cancer cell lines and non-tumor (HUVEC) cell lines using chemical identification by LC/MS/MS analysis and in silico assays to determine which compounds are associated with bioactivity. The antioxidant activity of extracts and inhibitory activity against COX enzymes were assessed by in vitro assays; cytotoxicity effect was evaluated by the MTT assay; cell cycle was assessed by flow cytometry and apoptosis by Western blotting. The geopropolis extracts showed great radical scavenging potential, preferential inhibition of COX-2, decreased cancer cell viability, non-cytotoxic effects against the non-tumoral cell line, besides modulating the cell cycle and inducing cancer cell apoptosis through the activation of caspase-3 and PARP protein cleavage. The in silico study suggests that corilagin, typhaneoside, taraxerone and marsformosanone, identified by LC/MS/MS, can be associated with anti-inflammatory activity and cytotoxic effects. Thus, the current study suggests the potential of geopropolis concerning the research field of new pharmacological alternatives regarding cancer therapy. Full article
(This article belongs to the Special Issue Bioactivity of Medicinal Plants and Extracts)
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<p>Percentual in vitro inhibition of COX-1 and 2 produced by hydroethanolic geopropolis extracts produced by <span class="html-italic">M. fasciculata</span> stingless bee was obtained in Viana (EHGV) and Pinheiro (EHGP) cities, Maranhão State, Northeast of Brazil.</p>
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<p>Analysis of morphological changes in A2780 tumor cells treated with EHGV. (<b>A</b>) Untreated A2780 control cells; (<b>B</b>) A2780 cells treated with vehicle (10% (<span class="html-italic">v</span>/<span class="html-italic">v</span>) DMSO); (<b>C</b>) A2780 cells treated with CDDP 10 μM; (<b>D</b>–<b>F</b>) A2780 cells treated with 15.62, 31.25 and 62.5 μg/mL EHGV, respectively. Cells were exposed to various concentrations of EHGV, CDDP and DMSO vehicle control and morphological changes were observed following 48 h of treatment. The cells were photographed (magnification 10×) with Axio-Vision Rel. 4.8 software. Scale bar = 100 μm.</p>
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<p>Analysis of morphological changes in A2780 tumor cells treated with EHGV. (<b>A</b>) Untreated A2780 control cells; (<b>B</b>) A2780 cells treated with vehicle (10% (<span class="html-italic">v</span>/<span class="html-italic">v</span>) DMSO); (<b>C</b>) A2780 cells treated with CDDP 10 μM; (<b>D</b>–<b>F</b>) A2780 cells treated with 15.62, 31.25 and 62.5 μg/mL EHGV, respectively. Cells were exposed to various concentrations of EHGV, CDDP and DMSO vehicle control and morphological changes were observed following 48 h of treatment. The cells were photographed (magnification 10×) with Axio-Vision Rel. 4.8 software. Scale bar = 100 μm.</p>
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<p>Effects of EHGV and EHGP in A549 (<b>A</b>), H460 (<b>B</b>), A2780 (<b>C</b>), Es2 (<b>D</b>) and CDDP (<b>E</b>,<b>F</b>) in four cancer cell lines at 48 and 72 h with statistical results. 2-way ANOVA with Tukey post-test. (* indicates <span class="html-italic">p</span> ≤ 0.05; vs. control).</p>
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<p>Effects of EHGV and EHGP in A549 (<b>A</b>), H460 (<b>B</b>), A2780 (<b>C</b>), Es2 (<b>D</b>) and CDDP (<b>E</b>,<b>F</b>) in four cancer cell lines at 48 and 72 h with statistical results. 2-way ANOVA with Tukey post-test. (* indicates <span class="html-italic">p</span> ≤ 0.05; vs. control).</p>
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<p>Effects of EHGV and EHGP (<b>A</b>) and CDDP (<b>B</b>) in non-tumor cells, HUVEC at 48 and 72 h with statistical results. 2-way ANOVA with Tukey post-test (* indicates <span class="html-italic">p</span> ≤ 0.05; vs. control).</p>
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<p>Analysis of effect of EHGV on cell cycle phase distribution and Western blot analysis of apoptosis-related proteins in A2780 cells treated with EHGV (15.65 and 31.25 μg/mL) and CDDP (10 μM) for 48 h. (<b>A</b>) Distribution of cells in sub-G1, G1, S or G2/M phases of cell cycle in A2780 cells treated with EHGV (15.65 and 31.25 μg/mL), CDDP (10 μM) and vehicle (control) for 48 h. (<b>B</b>) Western blot analysis of cleaved caspase-3 and cleaved PARP in A2780 cells treated with EHGV (15.65 and 31.25 μg/mL), CDDP (10 μM) and vehicle (control) for 48 h. GAPDH was used as loading control.</p>
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<p>Spatial conformations obtained by molecular docking of corilagin (in green), typhaneoside (in yellow) and β-amyrin (in cyan) on COX-2 active site (<b>A</b>) and conformations of taraxerone (in blue), marsformosanone (in magenta) and β-amyrin (in cyan) on NEMO/IKKβ structure (<b>B</b>).</p>
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<p>Proposed EHGV mechanism of action in ovarian cancer cells.</p>
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8 pages, 2058 KiB  
Article
The Efficacy of the Novel TSPO Ligands 2-Cl-MGV-1 and 2,4-Di-Cl-MGV-1 Compared to the Classical TSPO Ligand PK 11195 to Counteract the Release of Chemokines from LPS-Stimulated BV-2 Microglial Cells
by Sheelu Monga, Abraham Weizman and Moshe Gavish
Biology 2020, 9(9), 291; https://doi.org/10.3390/biology9090291 - 14 Sep 2020
Cited by 4 | Viewed by 2941
Abstract
The impact of ligands of the 18 kDa translocator protein (TSPO) on the release of chemokines is not vastly investigated. In the present study, we assessed the effect of our novel TSPO ligands 2-Cl-MGV-1 and 2,4-Di-Cl-MGV-1 compared to the classical TSPO ligand PK [...] Read more.
The impact of ligands of the 18 kDa translocator protein (TSPO) on the release of chemokines is not vastly investigated. In the present study, we assessed the effect of our novel TSPO ligands 2-Cl-MGV-1 and 2,4-Di-Cl-MGV-1 compared to the classical TSPO ligand PK 11195 on chemokine release in LPS-stimulated BV-2 microglial cells. As per the effect of 2-Cl-MGV-1, CCL2, CCL3, and CCL5 were inhibited by 90%, CCL8 by 97%, and IL-2 by 77% (p < 0.05 for all). 2,4-Di-Cl-MGV-1 inhibited CCL2 release by 92%, CCL3 by 91%, CCL5 by 90%, CCL8 by 89%, and IL-2 by 80% (p < 0.05 for all). PK 11195 exhibited weaker inhibitory effects: CCL2 by 22%, CCL3 by 83%, CCL5 by 34%, CCL8 by 41%, and the cytokine IL-2 by 14% (p < 0.05 for all). Thus, it appears that the novel TSPO ligands are potent suppressors of LPS-stimulated BV-2 microglial cells, and their inhibitory effect is larger than that of PK 11195. Such immunomodulatory effects on microglial cells may be relevant to the treatment of neurodegenerative and neuroinflammatory diseases. Full article
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<p>Effect of the TSPO ligands on the inflammatory chemokine CCL2. BV-2 cells were exposed to 100 ng/mL of LPS for 24 h simultaneously with or without our novel TSPO ligands compared to PK 11,195 (25 µM each). CCL2 levels (pg/mL) were calculated using a standard calibration curve and are presented as mean ± SD; four replicates in each group. ANOVA with Bonferroni’s post-hoc test was performed. *** <span class="html-italic">p</span> &lt; 0.001 compared to all other groups.</p>
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<p>Effect of the TSPO ligands on the inflammatory chemokine CCL3. BV-2 cells were exposed to 100 ng/mL of LPS for 24 h with or without our novel TSPO ligands compared to PK 11,195 (25 µM each). CCL3 levels (pg/mL) were calculated using a standard calibration curve and are presented as mean ± SD; four replicates in each group. ANOVA followed by Bonferroni’s post-hoc test was performed. *** <span class="html-italic">p</span> &lt; 0.001 compared to all other groups.</p>
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<p>Effect of the TSPO ligands on the inflammatory chemokine CCL5. BV-2 cells were exposed to 100 ng/mL of LPS for 24 h with or without our novel TSPO ligands compared to PK 11,195 (25 µM each). CCL5 levels (pg/mL) were calculated using a standard calibration curve and are presented as mean ± SD; four replicates in each group. ANOVA followed by Bonferroni’s post-hoc test was performed. *** <span class="html-italic">p</span> &lt; 0.001 compared to all other groups.</p>
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<p>Effect of the TSPO ligands on inflammatory chemokine CCL8. BV-2 cells were exposed to 100 ng/mL of LPS for 24 h with or without our novel TSPO ligands compared to PK 11,195 (25 µM each). CCL8 levels (pg/mL) were calculated using a standard calibration curve and are presented as mean ± SD; four replicates in each. ANOVA followed by Bonferroni’s post-hoc test was performed. *** <span class="html-italic">p</span> &lt; 0.001 compared to all other groups.</p>
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<p>Effect of the TSPO ligands on the pro-inflammatory cytokine IL-2. BV-2 cells were exposed to 100 ng/mL of LPS for 24 h with or without our novel TSPO ligands compared to PK 11,195 (25 µM each). IL-2 levels (pg/mL) were calculated using a standard calibration curve and are presented as mean ± SD; four replicates in each. ANOVA followed by Bonferroni’s post-hoc test was performed. *** <span class="html-italic">p</span> &lt; 0.001 compared to all other groups.</p>
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31 pages, 4731 KiB  
Review
Transcription Factors in Cartilage Homeostasis and Osteoarthritis
by Margot Neefjes, Arjan P. M. van Caam and Peter M. van der Kraan
Biology 2020, 9(9), 290; https://doi.org/10.3390/biology9090290 - 14 Sep 2020
Cited by 21 | Viewed by 6227
Abstract
Osteoarthritis (OA) is the most common degenerative joint disease, and it is characterized by articular cartilage loss. In part, OA is caused by aberrant anabolic and catabolic activities of the chondrocyte, the only cell type present in cartilage. These chondrocyte activities depend on [...] Read more.
Osteoarthritis (OA) is the most common degenerative joint disease, and it is characterized by articular cartilage loss. In part, OA is caused by aberrant anabolic and catabolic activities of the chondrocyte, the only cell type present in cartilage. These chondrocyte activities depend on the intra- and extracellular signals that the cell receives and integrates into gene expression. The key proteins for this integration are transcription factors. A large number of transcription factors exist, and a better understanding of the transcription factors activated by the various signaling pathways active during OA can help us to better understand the complex etiology of OA. In addition, establishing such a profile can help to stratify patients in different subtypes, which can be a very useful approach towards personalized therapy. In this review, we discuss crucial transcription factors for extracellular matrix metabolism, chondrocyte hypertrophy, chondrocyte senescence, and autophagy in chondrocytes. In addition, we discuss how insight into these factors can be used for treatment purposes. Full article
(This article belongs to the Special Issue Biology of Osteoarthritis)
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<p>A schematic depiction of different mechanisms of transcription factor function. Models of how transcription factors can affect transcription by (<b>A</b>) cofactor binding, (<b>B</b>) threshold effect, (<b>C</b>) combinatorial occupancy, (<b>D</b>) post-translation modifications, and (<b>E</b>) chromatin accessibility. (<b>A</b>) Some transcription factors need cofactors to activate transcription. For example, cofactor binding can create a looping of the DNA, which brings transcription factors that are normally far apart into close proximity, which results in activated transcription. (<b>B</b>) For some genes, transcription is an on/off switch where, in the absence of transcription factors, no transcription occurs, while above a certain concentration binding of transcription factors results in transcription (switch-like model). For other genes, binding of more transcription factors results in higher gene expression (additive model). (<b>C</b>) The same transcription factor can induce different responses based on its interaction partners (combinatorial occupancy). For example, in myoblasts, transcription factor 1 interacts with cofactor 1 to express myoblast specific genes, while in chondrocytes, this same transcription factor interacts with cofactor 2 to express chondrocyte specific genes. (<b>D</b>) Post-translational modification is very important for the function of transcription factors, e.g., they can cause nuclear entry of transcription factors that are otherwise rendered in the cytoplasm or they can affect protein–protein interactions, and they have an important role in protein stability and turnover. (<b>E</b>) Chromatin accessibility determines if transcription factor binding sites are available for transcription factors to bind. Heterochromatin, a very dense nucleosome structure, is not accessible for transcription factors to bind, whereas euchromatin, a less dense nucleosome structure, is available for transcription factor binding. HATs = histone acetyl transferases; HDACs = histone deacetylases.</p>
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<p>Transcription factors involved in extracellular matrix (ECM) metabolism. Model of how transcription factors are involved in the regulation of ECM production and degradation. Healthy chondrocytes synthesize ECM proteins such as ACAN and COL2A1. Important transcription factors for these genes are SOX5, SOX6, SOX9, and NFAT. In addition, in a healthy chondrocyte, matrix-degrading enzymes, such as MMPs and ADAMTSs, are expressed at a low level or not at all. These genes are silenced by epigenetic modifications. During osteoarthritis (OA), epigenetic changes occur by chromatin remodelers, resulting in either a conformation to euchromatin or heterochromatin, depending on the gene. In early OA, chondrocytes increase the production of important ECM proteins. One of the proposed mechanisms for this increase is the enhanced activation of transcription factors such as SOX9. SIRT1 can acetylate SOX9, which results in the recruitment of HAT cofactors such as p300 and GCN5, which, in turn, hyperacetylate surrounding histones. At this stage, transcription factors are recruited to the promoter regions of the ECM-degrading enzyme genes, such as AP-1, RUNX2, NFAT, and NFκB, and transcription takes place. In late OA chondrocytes, transcription levels of ECM-degrading enzymes increase, together with a loss of ECM production, as there are altered expression and function of transcription factors that are important for both these processes. Furthermore, epigenetic changes also occur, and, together, this results in the silencing of the ECM genes. MMP = matrix metalloproteinase; ADAMTS = a disintegrin and metalloproteinase with thrombospondin motif; AP-1 = activator protein 1; RUNX2 = runt-related transcription factor 2; NFAT = nuclear factor of activated T-cells; HAT = histone acetyltransferase; NFκB = nuclear factor kappa B; ACAN = aggrecan; COL2A1 = collagen type II; SOX5 = SRY-BOX transcription factor 5; SOX6 = SRY-BOX transcription factor 6; SOX9 = SRY-BOX transcription factor 9; HIF2α = hypoxia-inducible factor 2-alpha; TCF/LEF = T-cell factor/lymphoid enhancer factor.</p>
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<p>Transcription factors involved in chondrocyte hypertrophy. In a healthy chondrocyte, hypertrophy-related genes are silenced due to the compact composition of the nucleosomes and transcription factors that repress hypertrophy. PTHrP is a crucial signaling molecule that represses chondrocyte hypertrophy by increasing expression of BAPX-1, increasing SOX9 activity, and inducing nuclear translocation of HDAC4 to maintain hypoacetylation of the promoters of RUNX2 and MEF2C. In prehypertrophic chondrocytes, epigenetic changes occur by, e.g., loss of chromatin remodelers and loss of protective transcription factors against hypertrophy. This leads to increased chondrocyte volume and the opening of chromatin. TFs such as HOXA10, FOXO1, and DLX3 can bind in the promoter of RUNX2 and activate its transcription. RUNX2 and MEF2C are the MR of chondrocyte hypertrophy and regulate, in turn, with other transcription factors, the expression of hypertrophy makers such as COL10A1, MMP13, and ALPL. PTHrP = parathyroid hormone-like protein; SOX9 = SRY-BOX transcription factor 9; BAPX-1 = homeobox protein Nkx-3.2; HDAC4 = histone deacetylase 4; NFκB = nuclear factor kappa B; RUNX2 = runt-related transcription factor 2; MEF2C = myocyte-specific enhancer factor 2C; AP-1 = activator protein 1; GLI = glioma-associated oncogene; FOXA = forkhead box transcription factor class A; HIF2α = hypoxia-inducible factor 2-alpha; COL10A1 = collagen type X; MMP13 = matrix metalloproteinase 13; ALPL = alkaline phosphatase.</p>
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<p>Transcription factors involved in senescence-associated secretory phenotype (SASP). In a healthy chondrocyte, senescence-related genes are silenced due to the compact composition of the nucleosomes and transcription factors that repress senescence, such as SOX9, FOXO, and PITX1. In OA development, multiple events occur, such as DNA damage, resulting in disrupted transcription factor binding. Furthermore, cells undergo cell cycle arrest, and different signaling pathways are activated. Together, this results in epigenetic changes by, e.g., loss of chromatin remodelers and loss of protective transcription factors. After the opening of chromatin, transcription factors can bind to promoter regions of SASP genes, and this results in increased transcription of these genes. In addition, the expression of these transcription factors is enhanced in OA cartilage, and their function can be enhanced by, e.g., post-translation modification by p38 MAPK. SOX9 = SRY-BOX transcription factor 9; FOXO = forkhead box transcription factor class O; PITX1 = paired-like homeodomain 1; SIRT6 = sirtuin 6; DBS = double-strand break; MAPK = mitogen-activated protein kinase; HIF1α = hypoxia-inducible factor 1-alpha; NFκB = nuclear factor kappa B; AP-1 = activator protein 1; c/EBPβ = CCAAT-enhancer-binding protein beta; ATF2 = activating transcription factor 2; IL6 = interleukin 6; IL8 = interleukin 8; IL1β = interleukin 1 beta; TNFα = tumor necrosis factor alpha.</p>
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<p>Transcription factors involved in autophagy. In a healthy chondrocyte, there is basal autophagy activity. AMPK and SIRT1 cause the release of BRD4 and the histone methyltransferase G9a via deacetylation of the histones. Furthermore, activating TFs such as TFEB can bind to the promoters of ATG genes and activate transcription. Another TF, FOXO, gets activated by deacetylation by SIRT1 and can, therefore, also activate transcription together with TFEB. In late-stage OA chondrocytes, autophagy is inhibited due to epigenetic changes and altered expression and activity of transcription factors. SIRT1 expression is downregulated in OA and, therefore, histone acetylation is not removed anymore. BRD4 binds to acetylated histone tails and recruits G9a, which hypermethylates the promoters of ATGs. Furthermore, expression of activating TFs such as TFEB and FOXO is downregulated, and their activity is also blocked by phosphorylation by AKT or mTOR. In addition, (probably), inhibitory TFs such as ZKSCAN3 are also recruited to the promoter regions. Together, this results in repression of ATGs transcription and declined autophagy in OA chondrocytes. AMPK = AMP-activated protein kinase; SIRT1 = sirtuin 1; BRD4 = bromodomain-containing protein 4; TFEB = transcription factor EB; ATG = autophagy-related; FOXO = forkhead box transcription factor class O; mTOR = mechanistic target of rapamycin kinase; ZKSCAN3 = zinc-finger protein with KRAB and SCAN domains 3.</p>
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<p>Possible therapeutic targets to regulate transcription factor function. There are different mechanisms that lead to transcription factor activation (or repression). Regulating these mechanisms can provide possible therapeutic targets. Activating or repressing the binding of cofactors, chromatin remodelers (e.g., UBCS039), and post-translational modifications (e.g., SB303580) or directly influencing the binding of transcription factors to DNA (e.g., MLN944) can be explored as therapeutic options. TF = transcription factors; HDAC = histone deacetylase.</p>
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18 pages, 3777 KiB  
Article
Targeted Central Nervous System Irradiation of Caenorhabditis elegans Induces a Limited Effect on Motility
by Michiyo Suzuki, Zu Soh, Hiroki Yamashita, Toshio Tsuji and Tomoo Funayama
Biology 2020, 9(9), 289; https://doi.org/10.3390/biology9090289 - 14 Sep 2020
Cited by 7 | Viewed by 6618
Abstract
To clarify the tissue responsible for a biological function, that function can be experimentally perturbed by an external stimulus, such as radiation. Radiation can be precisely and finely administered and any subsequent change in function examined. To investigate the involvement of the central [...] Read more.
To clarify the tissue responsible for a biological function, that function can be experimentally perturbed by an external stimulus, such as radiation. Radiation can be precisely and finely administered and any subsequent change in function examined. To investigate the involvement of the central nervous system (CNS) in Caenorhabditis elegans’ locomotion, we irradiated a limited 20-µm-diameter area of the CNS with a single dose and evaluated the resulting effects on motility. However, whether irradiated area (beam size)-dependent or dose-dependent effects on motility occur via targeted irradiation remain unknown. In the present study, we examined the irradiated area- and dose-dependent effects of CNS-targeted irradiation on the motility of C. elegans using a collimating microbeam system and confirmed the involvement of the CNS and body-wall muscle cells around the CNS in motility. After CNS-targeted microbeam irradiation, C. elegans’ motility was assayed. The results demonstrated a dose-dependent effect of CNS-targeted irradiation on motility reflecting direct effects on the irradiated CNS. In addition, when irradiated with 1000-Gy irradiation, irradiated area (beam size)-dependent effects were observed. This method has two technical advantages: Performing a series of on-chip imaging analyses before and after irradiation and targeted irradiation using a distinct ion-beam size. Full article
(This article belongs to the Special Issue Brain Damage and Repair: From Molecular Effects to CNS Disorders)
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<p>Schematic of the CNS-targeted irradiation of individual live <span class="html-italic">C. elegans</span> using a microfluidic chip. (<b>a</b>) Cross-sectional view of CNS-targeted irradiation of a live <span class="html-italic">C. elegans</span> enclosed in a microfluidic channel of a microfluidic chip. Anatomical structure of an individual <span class="html-italic">C. elegans</span> in the right panel was compiled with reference to a previous report [<a href="#B3-biology-09-00289" class="html-bibr">3</a>]. (<b>b</b>) Schematic of a 300-µm, ultra-thin, ion-penetrable, wettable, microfluidic chip (Worm Sheet IR) enclosing live <span class="html-italic">C. elegans</span> individuals in the microfluidic channels. (<b>c</b>) Overhead view of the anterior body of an individual live <span class="html-italic">C. elegans</span> enclosed in a straight microfluidic channel of a microfluidic chip. The whole nerve ring in a ∅60-µm micro-aperture region (filled in blue) or the center of the nerve ring (CNS) in a ∅20-µm micro-aperture region (filled in yellow) were targeted and irradiated with an exact number of carbon ions.</p>
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<p>Schematic depiction of the experimental method. The procedure of the targeted-irradiation and locomotion assay using independent microfluidic chips for each dose of irradiation and assay plates for each animal. This was used in the experiments described in <a href="#sec3dot1-biology-09-00289" class="html-sec">Section 3.1</a>.</p>
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<p>Schematic of the fluorescent imaging of body-wall muscles for <span class="html-italic">C. elegans</span> crawling (HBR4 strain). (<b>a</b>) Muscle contraction pattern of body-wall muscle cells during forward motion (crawling). High fluorescence (Ca<sup>2+</sup>) indicates the contraction of body-wall muscle cells (indicated by white triangles). (<b>b</b>) Schematic of on-chip observations of an individual <span class="html-italic">C. elegans</span> in a straight microfluidic channel of a Worm Sheet. The upper panel is a bright-field image of the microfluidic channel enclosing an individual active <span class="html-italic">C. elegans</span>, while the bottom panel is a corresponding fluorescence field image. The small degree of clearance between the body of an individual <span class="html-italic">C. elegans</span> and the straight microfluidic channel makes it possible for the animal to bend, such that muscle contraction and extension during crawling can be observed. To evaluate the luminance of Ca<sup>2+</sup>, a ROI in the head and tail area was set as a box 120 µm wide and 60 µm high.</p>
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<p>Schematic depiction of the improved experimental method. The targeted irradiation and imaging assay were completed entirely on a microfluidic chip. This was used for the experiments described in <a href="#sec3dot2-biology-09-00289" class="html-sec">Section 3.2</a>.</p>
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<p>Motility of <span class="html-italic">C. elegans</span> immediately after carbon-ion irradiation with a dose of 500 or 1000 Gy. Motility was evaluated using “body bends” [<a href="#B21-biology-09-00289" class="html-bibr">21</a>], defined as the mean value of bends in the anterior body region at 20-s intervals in six animals. (<b>a</b>) Motility in animals after whole-body irradiation. Mean values from five independent experiments for whole-body irradiation were calculated for each dose. (<b>b</b>) Motility of animals after irradiation of a ∅60-µm micro-aperture region of the CNS. Mean values from five independent experiments using the targeted irradiation of a ∅60-µm micro-aperture region were calculated for each dose. (<b>c</b>) Motility of animals after irradiation of a ∅20-µm micro-aperture region of the CNS. Mean values from five independent experiments using targeted irradiation of a ∅20-µm micro-aperture region were calculated for each dose. Error bars represent the SEM of independent experiments. All data were analyzed using one-way ANOVA at 0.05 (*) and 0.01 (**) significance levels.</p>
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<p>Calcium ion luminance of body-wall muscle cells around the CNS in <span class="html-italic">C. elegans</span> HBR4 individuals before and after CNS-targeted irradiation of a ∅60-µm micro-aperture region. Luminance in the ROI (head) of individuals every 0.033 s for 1 min was acquired from fluorescent images before and after irradiation. (<b>a</b>) Results of four nonirradiated control animals, #1–#4. “Before irradiation” corresponds to the time immediately after the enclosure of <span class="html-italic">C. elegans</span> individuals in microfluidic channels of a microfluidic chip and “after irradiation” corresponds to approximately 3 hours after enclosure. (<b>b</b>) Results of four animals, #5–#8, irradiated with a dose of 500 Gy. (<b>c</b>) Results of four animals, #9–#12, irradiated with a dose of 1000 Gy. (<b>d</b>) Results of four animals, #13–#16, irradiated with a dose of 1500 Gy. The left panels indicate results before irradiation and the right panels indicate results after irradiation.</p>
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<p>Muscle contraction pattern of body-wall muscle cells in <span class="html-italic">C. elegans</span> individuals before and after the CNS-targeted irradiation of a ∅60-µm micro-aperture region. Examples of calcium ion fluorescent images acquired every 0.1 s for 3.0 s from an individual <span class="html-italic">C. elegans</span> before and immediately after CNS-targeted irradiation. (<b>a</b>) A nonirradiated control animal, which corresponds to #1 in <a href="#biology-09-00289-f006" class="html-fig">Figure 6</a>a. (<b>b</b>) An animal, which corresponds to #5 in <a href="#biology-09-00289-f006" class="html-fig">Figure 6</a>b, irradiated with a dose of 500 Gy. (<b>c</b>) An animal, which corresponds to #9 in <a href="#biology-09-00289-f006" class="html-fig">Figure 6</a>c, irradiated with a dose of 1000 Gy. (<b>d</b>) An animal, which corresponds to #13 in <a href="#biology-09-00289-f006" class="html-fig">Figure 6</a>d, irradiated with a dose of 1500 Gy. In each image, the head (including the CNS) is on the left.</p>
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15 pages, 1188 KiB  
Article
Functional Feeding Groups of Aquatic Insects Influence Trace Element Accumulation: Findings for Filterers, Scrapers and Predators from the Po Basin
by Paolo Pastorino, Annalisa Zaccaroni, Alberto Doretto, Elisa Falasco, Marina Silvi, Alessandro Dondo, Antonia Concetta Elia, Marino Prearo and Francesca Bona
Biology 2020, 9(9), 288; https://doi.org/10.3390/biology9090288 - 14 Sep 2020
Cited by 15 | Viewed by 5020
Abstract
For this study, we measured the concentrations of 23 trace elements (Al, As, Ba, Bi, Cd, Cr, Co, Cu, Fe, Ga, Hg, In, Li, Mn, Mo, Ni, Pb, Se, Sr, Ti, Tl, V, and Zn) in the whole bodies of three functional feeding [...] Read more.
For this study, we measured the concentrations of 23 trace elements (Al, As, Ba, Bi, Cd, Cr, Co, Cu, Fe, Ga, Hg, In, Li, Mn, Mo, Ni, Pb, Se, Sr, Ti, Tl, V, and Zn) in the whole bodies of three functional feeding groups (FFG) (filterers—Hydropsychidae, scrapers—Heptageniidae, and predators—Odonata) of aquatic insects collected from two sites in the Po basin (Po Settimo and Malone Front, Northwest Italy) to determine: (a) how FFG influence trace element accumulations, (b) if scrapers accumulate higher elements compared to the other FFG, since they graze on periphyton, which represents one of the major sinks of metals, and (c) the potential use of macroinvertebrates to assess the bioavailability of trace elements in freshwater. The hierarchical clustering analysis generated three main groups based on trace element concentrations: the most abundant elements were Fe and Al, followed by Sr, In, Zn, V, Mo, and Cu. Tl was below the limit of detection (LOD) in all FFG. Ga was detected only in scrapers from both sites and Hg only in predators from Po Settimo. The principal component analysis showed that concentrations of Al, As, Bi, Cd, Co, Cr, Ga, Fe, In, Mn, Pb, Ni, and Sr were highest in scrapers, suggesting that trace elements accumulate from the ingestion of epilithic periphyton (biofilm). Odonata (predators) accumulate certain elements (Ba, Hg, Li, Se, V, Ti, and Zn) in higher concentrations by food ingestion composed of different aquatic organisms. Differently, Cu and Mo concentrations were the highest in filterers due to their bioavailability in the water column. Non-metric multidimensional scaling clearly differentiated the FFG based on their ability to accumulate trace elements. The findings from this study represent an important step toward the definition of an innovative approach based on trace element accumulation by macroinvertebrates. Full article
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<p>Bar graphs (mean ± standard deviation) of trace element concentrations (µg g<sup>−1</sup>) of filterers (F), scrapers (S), and predators (P) from the Po Settimo (brown) and the Malone (yellow) site. Lowercase letters denote differences revealed by Conover-Iman post-hoc or Mann-Whitney tests among the three functional feeding groups at each site: Po Settimo (a,b) and Malone Front (c,d).</p>
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<p>Dendrogram generated by hierarchical clustering analysis. The dotted line represents automatic truncation, resulting in three groups: group 1 (blue), group 2 (red), and group 3 (green).</p>
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<p>Biplot of scores and loadings from the principal component analysis (PCA). The scores of each functional feeding group (F = filterers, P = predators, and S = scrapers) from each site (Po Settimo and Malone) are denoted by color and a symbol (largest symbol = average value).</p>
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<p>Non-metric multidimensional scaling (NMDS) on functional feeding groups (FFG) from the Po Settimo and Malone sampling sites. The upper-case letters denote FFG: F = filterers, P = predators, and S = scrapers.</p>
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14 pages, 2581 KiB  
Article
Metabolites Produced by Kaistia sp. 32K Promote Biofilm Formation in Coculture with Methylobacterium sp. ME121
by Yoshiaki Usui, Tetsu Shimizu, Akira Nakamura and Masahiro Ito
Biology 2020, 9(9), 287; https://doi.org/10.3390/biology9090287 - 13 Sep 2020
Cited by 3 | Viewed by 3545
Abstract
Previously, we reported that the coculture of motile Methylobacterium sp. ME121 and non-motile Kaistia sp. 32K, isolated from the same soil sample, displayed accelerated motility of strain ME121 due to an extracellular polysaccharide (EPS) produced by strain 32K. Since EPS is a major [...] Read more.
Previously, we reported that the coculture of motile Methylobacterium sp. ME121 and non-motile Kaistia sp. 32K, isolated from the same soil sample, displayed accelerated motility of strain ME121 due to an extracellular polysaccharide (EPS) produced by strain 32K. Since EPS is a major component of biofilms, we aimed to investigate the biofilm formation in cocultures of the two strains. The extent of biofilm formation was measured by a microtiter dish assay with the dye crystal violet. A significant increase in the amount of biofilm was observed in the coculture of the two strains, as compared to that of the monocultures, which could be due to a metabolite produced by strain 32K. However, in the coculture with strain 32K, using Escherichia coli or Pseudomonas aeruginosa, there was no difference in the amount of biofilm formation as compared with the monoculture. Elevated biofilm formation was also observed in the coculture of strain ME121 with Kaistia adipata, which was isolated from a different soil sample. Methylobacterium radiotolerans, isolated from another soil sample, showed a significant increase in biofilm formation when cocultured with K. adipata, but not with strain 32K. We also found that the culture supernatants of strains 32K and K. adipata accelerated the motility of strains ME121 and M. radiotolerans, wherein culture supernatant of K. adipata significantly increased the motility of M. radiotolerans, as compared to that by the culture supernatant of strain 32K. These results indicated that there was a positive relationship between accelerated motility and increased biofilm formation in Methylobacterium spp. This is the first study to report that the metabolites from Kaistia spp. could specifically modulate the biofilm-forming ability of Methylobacterium spp. Methylobacterium spp. biofilms are capable of inhibiting the biofilm formation of mycobacteria, which are opportunistic pathogens that cause problems in infectious diseases. Thus, the metabolites from the culture supernatant of Kaistia spp. have the potential to contribute to the environment in which increased biofilm production of Methylobacterium is desired. Full article
(This article belongs to the Section Microbiology)
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<p>Biofilm formation during cocultivation of strain 32K with test strains<b>.</b> (<b>A</b>) Coculture of strains ME121 and 32K, (<b>B</b>) coculture of <span class="html-italic">E. coli</span> W3110 and strain 32K, and (<b>C</b>) coculture of <span class="html-italic">P. aeruginosa</span> PAO1 and strain 32K. The vertical axis is Abs<sub>570</sub>. Error bars are standard deviations. One-way ANOVA test was performed for equality of all means; ME121 + 32K: F<sub>(3, 59)</sub> = 98.90, <span class="html-italic">p</span> &lt; 0.01. <span class="html-italic">E. coli</span> + 32K: F<sub>(3, 59)</sub> = 63.96, <span class="html-italic">p</span> &lt; 0.01, <span class="html-italic">P. aeruginosa</span> + 32K: F<sub>(3, 31)</sub> = 31.97, <span class="html-italic">p</span> &lt; 0.01. Tukey’s test was performed for post hoc analysis, <span class="html-italic">p</span> &lt; 0.05. Different superscript letters (a, b, c) denote significant difference from each other in all combinations.</p>
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<p>Biofilm formation of strains ME121, 32K, and ME121 + 32K in the presence of culture supernatants of strains ME121 or 32K. (<b>A</b>) Glc medium, (<b>B</b>) culture supernatant of strain ME121, and (<b>C</b>) culture supernatant of strain 32K. The vertical axis is Abs<sub>570</sub>, and the error bar is standard deviation. Two-way ANOVA test was performed for equality of all means; Glc medium: F<sub>(3, 19)</sub> = 64.44, <span class="html-italic">p</span> &lt; 0.01. ME121 culture supernatant: F<sub>(3, 19)</sub> = 98.24, <span class="html-italic">p</span> &lt; 0.01, 32K culture supernatant: F<sub>(3, 19)</sub> = 44.65, <span class="html-italic">p</span> &lt; 0.01. Tukey’s test was performed for post hoc analysis, <span class="html-italic">p</span> &lt; 0.05. Different superscript letters (a, b, c) denote significant differences from each other in all combinations.</p>
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<p>Growth and biofilm formation in monocultures of strains ME121 (<b>A</b>,<b>B</b>), 32K (<b>C</b>,<b>D</b>), coculture of strains ME121 and 32K (<b>E</b>,<b>F</b>), using culture supernatant of strain 32K diluted with Glc medium. Error bars are standard deviations. Two-way ANOVA test was performed for equality of all means; (<b>A</b>) F<sub>(5, 21)</sub> = 10.75, <span class="html-italic">p</span> &lt; 0.001. (<b>B</b>): F<sub>(5, 21)</sub> = 23.05, <span class="html-italic">p</span> &lt; 0.001, (<b>C</b>): F<sub>(5, 21)</sub> = 3.66, <span class="html-italic">p</span> &lt; 0.05, (<b>D</b>) F<sub>(5, 21)</sub> = 2.50, <span class="html-italic">p</span> = 0.074, (<b>E</b>) F<sub>(5, 21)</sub> = 4.33, <span class="html-italic">p</span> &lt; 0.05, (<b>F</b>) F<sub>(5, 21)</sub> = 0.59, <span class="html-italic">p</span> = 0.709. Tukey’s test was performed for post hoc analysis, <span class="html-italic">p</span> &lt; 0.05. Different superscript letters (a, b, c) denote significant difference from each other in all combinations.</p>
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<p>Biofilm formation in monocultures of strains ME121 and 32K, and coculture of strains ME121 and 32K when (<b>A</b>) the initial inoculum of strain ME121 was changed and (<b>B</b>) when the initial inoculum of strain 32K was changed. The vertical axis is Abs<sub>570</sub>, and the error bar is standard deviation. One-way ANOVA test was performed for equality of all means; (<b>A</b>): F<sub>(7, 39)</sub> = 140.00, <span class="html-italic">p</span> &lt; 0.001, (<b>B</b>): F<sub>(7, 39)</sub> = 69.90, <span class="html-italic">p</span> &lt; 0.001. Tukey’s test was performed for post hoc analysis, <span class="html-italic">p</span> &lt; 0.05. Different superscript letters (a, b, c, d) denote significant differences from each other in all combinations.</p>
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<p>Biofilm formation during coculture of different combinations of bacterial strains. (<b>A</b>) Coculture of strains ME121 and 32K, (<b>B</b>) coculture of <span class="html-italic">M. radiotolerans</span> (Mr) and <span class="html-italic">K. adipata</span> (Ka), (<b>C</b>) coculture of strain ME121 and <span class="html-italic">K. adipata</span> (Ka), and (<b>D</b>) coculture of <span class="html-italic">M. radiotolerans</span> (Mr) and strain 32K. The vertical axis is Abs<sub>570</sub>, and the error bar is standard deviation. One-way ANOVA test was performed for equality of all means; (<b>A</b>): F<sub>(3, 19)</sub> = 98.90, <span class="html-italic">p</span> &lt; 0.001. (<b>B</b>): F<sub>(3, 19)</sub> = 49.47, <span class="html-italic">p</span> &lt; 0.001. (<b>C</b>): F<sub>(3, 19)</sub> = 389.05, <span class="html-italic">p</span> &lt; 0.001. (<b>D</b>): F<sub>(3, 19)</sub> = 10.90, <span class="html-italic">p</span> &lt; 0.001. Tukey’s test was performed for post hoc analysis, <span class="html-italic">p</span> &lt; 0.05. Different superscript letters (a, b, c) denote significant difference from each other in all combinations.</p>
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<p>Swimming speed of strain ME121 and <span class="html-italic">M. radiotolerans</span> (Mr) when D-glucose synthetic medium, culture supernatant of strain 32K, and culture supernatant of <span class="html-italic">K. adipata</span> (Ka) were added. Half of the total values are collected in the box, and the thick line in the center of the box shows the average value. The lines that extend vertically are the remaining values, and the edges indicate the maximum and minimum values, respectively. The vertical axis shows the swimming speed (µm/s). One-way ANOVA test was performed for equality of all means; ME121: F<sub>(2,269)</sub> = 225.29, <span class="html-italic">p</span> &lt; 0.001. <span class="html-italic">M. radiotolerans</span>: F<sub>(2,239)</sub> = 100.20, <span class="html-italic">p</span> &lt; 0.001. Tukey’s test was performed for post hoc analysis, <span class="html-italic">p</span> &lt; 0.05. Different superscript letters (a, b, c) denote significant differences from each other in all combinations.</p>
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<p>Schematic diagram of the effects on biofilm formation and motility of each strain. “<b><span style="color:red">↑</span></b>” shows increased biofilm formation and accelerated motility. “<b>-</b>” shows no effect on biofilm formation. “<b>↗</b>” shows moderately accelerated motility.</p>
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<p>Schematic representation of biofilm formation of strains ME121 and 32K. In the synthetic medium used in this experiment, strain ME121 does not form a biofilm when cultured alone, whereas monoculture of strain 32K forms a biofilm. It was speculated that a larger biofilm was formed in the coculture of strains ME121 and 32K.</p>
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14 pages, 3002 KiB  
Article
Antifungal Activity and Phytochemical Screening of Vernonia amygdalina Extract against Botrytis cinerea Causing Gray Mold Disease on Tomato Fruits
by Siti Fairuz Yusoff, Farah Farhanah Haron, Mahmud Tengku Muda Mohamed, Norhayu Asib, Siti Zaharah Sakimin, Faizah Abu Kassim and Siti Izera Ismail
Biology 2020, 9(9), 286; https://doi.org/10.3390/biology9090286 - 11 Sep 2020
Cited by 38 | Viewed by 5962
Abstract
Gray mold disease caused by Botrytis cinerea is a damaging postharvest disease in tomato plants, and it is known to be a limiting factor in tomato production. This study aimed to evaluate antifungal activities of Vernonia amygdalina leaf extracts against B. cinerea and [...] Read more.
Gray mold disease caused by Botrytis cinerea is a damaging postharvest disease in tomato plants, and it is known to be a limiting factor in tomato production. This study aimed to evaluate antifungal activities of Vernonia amygdalina leaf extracts against B. cinerea and to screen the phytochemical compound in the crude extract that had the highest antifungal activity. In this study, crude extracts of hexane, dichloromethane, methanol, and water extracts with concentration levels at 100, 200, 300, 400, and 500 mg/mL were shown to significantly affect the inhibition of B. cinerea. Among the crude extracts, dichloromethane extract was shown to be the most potent in terms of antifungal activities. The SEM observation proved that the treatment altered the fungal morphology, which leads to fungal growth inhibition. For the in vivo bioassay, the fruits treated with dichloromethane extract at 400 and 500 mg/mL showed the lowest disease incidence with mild severity of infection. There were 23 chemical compounds identified in V. amygdalina dichloromethane extract using GCMS analysis. The top five major compounds were dominated by squalene (16.92%), phytol (15.05%), triacontane (11.31%), heptacosane (7.14%), and neophytadiene (6.28%). Some of these significant compounds possess high antifungal activities. This study proved that V. amygdalina from dichloromethane extract could be useful for inhibiting gray mold disease on tomato fruit and has potential as a natural antifungal agent. Full article
(This article belongs to the Special Issue Bioactivity of Medicinal Plants and Extracts)
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<p>Sequential extraction procedure of <span class="html-italic">V. amygdalina.</span></p>
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<p>Effect of crude extraction of <span class="html-italic">V. amygdalina</span> at various concentrations on the PIRG of <span class="html-italic">B. cinerea</span> after eight days of incubation. Means with the same letter within each crude extraction are not significantly different at <span class="html-italic">p</span> ≤ 0.05 using the least significant difference (LSD) test.</p>
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<p>Effects of dichloromethane (DCM) crude extract on <span class="html-italic">B. cinerea</span> at 400 and 500 mg/mL on mycelium morphology viewed under SEM. (<b>A</b>) Healthy mycelium are slender and uniform, with a smooth surface and an intact structure in the control plate; (<b>B</b>) Healthy conidiophore from the control plate; (<b>C</b>) Mycelia were ruptured, folded with edge burrs, and sheet-like structure at 400 mg/mL; (<b>D</b>) The hyphae tip was wrinkled and deformed at 400 mg/mL; (<b>E</b>) Agglutinated mycelia at 500 mg/mL; (<b>F</b>) The conidia were shrunken at 400 mg/mL.</p>
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<p>Ion chromatogram of DCM crude extract using GCMS.</p>
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13 pages, 598 KiB  
Review
A Glance of p53 Functions in Brain Development, Neural Stem Cells, and Brain Cancer
by Yuqing Xiong, Yun Zhang, Shunbin Xiong and Abie E. Williams-Villalobo
Biology 2020, 9(9), 285; https://doi.org/10.3390/biology9090285 - 11 Sep 2020
Cited by 31 | Viewed by 9957
Abstract
p53 is one of the most intensively studied tumor suppressors. It transcriptionally regulates a broad range of genes to modulate a series of cellular events, including DNA damage repair, cell cycle arrest, senescence, apoptosis, ferroptosis, autophagy, and metabolic remodeling, which are fundamental for [...] Read more.
p53 is one of the most intensively studied tumor suppressors. It transcriptionally regulates a broad range of genes to modulate a series of cellular events, including DNA damage repair, cell cycle arrest, senescence, apoptosis, ferroptosis, autophagy, and metabolic remodeling, which are fundamental for both development and cancer. This review discusses the role of p53 in brain development, neural stem cell regulation and the mechanisms of inactivating p53 in gliomas. p53 null or p53 mutant mice show female biased exencephaly, potentially due to X chromosome inactivation failure and/or hormone-related gene expression. Oxidative cellular status, increased PI3K/Akt signaling, elevated ID1, and metabolism are all implicated in p53-loss induced neurogenesis. However, p53 has also been shown to promote neuronal differentiation. In addition, p53 mutations are frequently identified in brain tumors, especially glioblastomas. Mechanisms underlying p53 inactivation in brain tumor cells include disruption of p53 protein stability, gene expression and transactivation potential as well as p53 gene loss or mutation. Loss of p53 function and gain-of-function of mutant p53 are both implicated in brain development and tumor genesis. Further understanding of the role of p53 in the brain may provide therapeutic insights for brain developmental syndromes and cancer. Full article
(This article belongs to the Special Issue Genetics of cancer)
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<p>Flow chart outlining the three main topics of this review (p53′s functions in brain development, neural stem cell regulation and brain cancer), and the major specifics discussed underneath each topic.</p>
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16 pages, 1645 KiB  
Article
Short-Term Effects of Early Menopause on Adiposity, Fatty Acids Profile and Insulin Sensitivity of a Swine Model of Female Obesity
by Ana Heras-Molina, José Luis Pesantez-Pacheco, Marta Vazquez-Gomez, Consolacion Garcia-Contreras, Susana Astiz, Beatriz Isabel and Antonio Gonzalez-Bulnes
Biology 2020, 9(9), 284; https://doi.org/10.3390/biology9090284 - 11 Sep 2020
Cited by 2 | Viewed by 2733
Abstract
Menopause strongly increases incidence and consequences of obesity and non-communicable diseases in women, with recent research suggesting a very early onset of changes in lipid accumulation, dyslipidemia, and insulin resistance. However, there is a lack of adequate preclinical models for its study. The [...] Read more.
Menopause strongly increases incidence and consequences of obesity and non-communicable diseases in women, with recent research suggesting a very early onset of changes in lipid accumulation, dyslipidemia, and insulin resistance. However, there is a lack of adequate preclinical models for its study. The present trial evaluated the usefulness of an alternative method to surgical ovariectomy, the administration of two doses of a GnRH analogue-protein conjugate (Vacsincel®), for inducing ovarian inactivity in sows used as preclinical models of obesity and menopause. All the sows treated with the compound developed ovarian stoppage after the second dose and, when exposed to obesogenic diets during the following three months, showed changes in the patterns of fat deposition, in the fatty acids profiles at the different tissues and in the plasma concentrations of fructosamine, urea, β-hydroxibutirate, and haptoglobin when compared to obese fed with the same diet but maintaining ovarian activity. Altogether, these results indicate that menopause early augments the deleterious effects induced by overfeeding and obesity on metabolic traits, paving the way for future research on physiopathology of these conditions and possible therapeutic targets using the swine model. Full article
(This article belongs to the Special Issue Mechanistic Insights into the Pathogenesis of Type 2 Diabetes)
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Figure 1
<p>Individual plasma progesterone concentrations over time of study (left hand) and picture of the ovaries at 120 days (right hand) in sows used as controls (<b>A</b> and <b>a</b>) or treated with two doses of Vacsincel<sup>®</sup> for inducing ovarian inactivity (<b>B</b> and <b>b</b>); arrows indicate timing of treatment).</p>
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<p>Mean values (± S.E.M.), over time of study, of body mass (<b>A</b>) and depth of total (<b>B</b>) and outer and inner layers (<b>C</b>,<b>D</b>) of subcutaneous backfat depots in sows used as controls (discontinuous line) or treated with two doses of Vacsincel<sup>®</sup> for inducing ovarian inactivity (continuous line; arrows indicate timing of treatment). The inset graphs represent the relative increases when compared to the previous assessment (white group CON, black group MEN); units are the same than in the main graph. Asterisks indicate significant differences between groups (* <span class="html-italic">p</span> &lt; 0.05).</p>
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<p>Mean values (± S.E.M.), over time of study, of body mass (<b>A</b>) and depth of total (<b>B</b>) and outer and inner layers (<b>C</b>,<b>D</b>) of subcutaneous backfat depots in sows used as controls (discontinuous line) or treated with two doses of Vacsincel<sup>®</sup> for inducing ovarian inactivity (continuous line; arrows indicate timing of treatment). The inset graphs represent the relative increases when compared to the previous assessment (white group CON, black group MEN); units are the same than in the main graph. Asterisks indicate significant differences between groups (* <span class="html-italic">p</span> &lt; 0.05).</p>
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<p>Mean values (± S.E.M.), over time of study, in mean plasma concentrations (± S.E.M.) for glycemic and lipidic metabolic parameters in sows used as controls (group CON; white bars) or treated with two doses of Vacsincel<sup>®</sup> for inducing ovarian inactivity (group MEN; black bars); GLU: glucose (<b>A</b>); FRU: fructosamine (<b>B</b>); CHO: total cholesterol (<b>C</b>); HDL and LDL: high- and low-density lipoproteins cholesterol, respectively (<b>D</b> and <b>E</b> respectively); NEFA: non-esterified fatty acids (<b>F</b>).</p>
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<p>Mean values (± S.E.M.), over time of study, in mean plasma concentrations (± S.E.M.) for glycemic and lipidic metabolic parameters in sows used as controls (group CON; white bars) or treated with two doses of Vacsincel<sup>®</sup> for inducing ovarian inactivity (group MEN; black bars); GLU: glucose (<b>A</b>); FRU: fructosamine (<b>B</b>); CHO: total cholesterol (<b>C</b>); HDL and LDL: high- and low-density lipoproteins cholesterol, respectively (<b>D</b> and <b>E</b> respectively); NEFA: non-esterified fatty acids (<b>F</b>).</p>
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<p>Mean values (± S.E.M.), over time of study, in mean plasma concentrations (± S.E.M.) for metabolic parameters in sows used as controls (group CON; white bars) or treated with two doses of Vacsincel<sup>®</sup> for inducing ovarian inactivity (group MEN; black bars); BHB: β-hydroxybutyrate (<b>A</b>); LAC: lactate (<b>B</b>); UREA: urea (<b>C</b>) HAP: haptoglobin (<b>D</b>). Asterisks indicate significant differences between groups (* <span class="html-italic">p</span> &lt; 0.05; ** <span class="html-italic">p</span> &lt; 0.01; *** <span class="html-italic">p</span> &lt; 0.005).</p>
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26 pages, 5277 KiB  
Review
Cnidarian Immunity and the Repertoire of Defense Mechanisms in Anthozoans
by Maria Giovanna Parisi, Daniela Parrinello, Loredana Stabili and Matteo Cammarata
Biology 2020, 9(9), 283; https://doi.org/10.3390/biology9090283 - 11 Sep 2020
Cited by 34 | Viewed by 6778
Abstract
Anthozoa is the most specious class of the phylum Cnidaria that is phylogenetically basal within the Metazoa. It is an interesting group for studying the evolution of mutualisms and immunity, for despite their morphological simplicity, Anthozoans are unexpectedly immunologically complex, with large genomes [...] Read more.
Anthozoa is the most specious class of the phylum Cnidaria that is phylogenetically basal within the Metazoa. It is an interesting group for studying the evolution of mutualisms and immunity, for despite their morphological simplicity, Anthozoans are unexpectedly immunologically complex, with large genomes and gene families similar to those of the Bilateria. Evidence indicates that the Anthozoan innate immune system is not only involved in the disruption of harmful microorganisms, but is also crucial in structuring tissue-associated microbial communities that are essential components of the cnidarian holobiont and useful to the animal’s health for several functions including metabolism, immune defense, development, and behavior. Here, we report on the current state of the art of Anthozoan immunity. Like other invertebrates, Anthozoans possess immune mechanisms based on self/non-self-recognition. Although lacking adaptive immunity, they use a diverse repertoire of immune receptor signaling pathways (PRRs) to recognize a broad array of conserved microorganism-associated molecular patterns (MAMP). The intracellular signaling cascades lead to gene transcription up to endpoints of release of molecules that kill the pathogens, defend the self by maintaining homeostasis, and modulate the wound repair process. The cells play a fundamental role in immunity, as they display phagocytic activities and secrete mucus, which acts as a physicochemical barrier preventing or slowing down the proliferation of potential invaders. Finally, we describe the current state of knowledge of some immune effectors in Anthozoan species, including the potential role of toxins and the inflammatory response in the Mediterranean Anthozoan Anemonia viridis following injection of various foreign particles differing in type and dimensions, including pathogenetic bacteria. Full article
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<p>Cnidarian evolutionary history based on rRNA phylogenies.</p>
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<p>General scheme of the main invertebrate immunity components identified within Anthozoans. TLR, TOLL-like receptor; C3 Complement protein; IL-1Rs, Interleuchin-like; MyD88, myeloid differentiation primary-response protein 88; transcription factors NF-κB; C3, Complement protein; MASPs, mannose binding lectin-associated serine proteases; MACPF, Membrane-attack complex–perforin protein; FAK, focal adhesion kinases; AMPs, antimicrobial peptides; ROS, reactive oxygen species.</p>
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<p>Plaque of lysis assay from cells isolated from <span class="html-italic">Actinia equina</span> against rabbit erythrocytes. Lysis plaques in a Cunningham–Szenberg chamber were observed when cells were mixed with target erythrocytes. Granulocytes were cytotoxic cells. Scale bar: 100 µm.</p>
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<p>Anatomy of <span class="html-italic">Anemonia viridis</span>. Gomory stain of tentacles histological section (M: Mesoglea, Sy: Symbiont, Sp: Spyrocysts, Muc: Mucocytes, Ci: Cilia, MF: Muscular fiber). Bar: 10 µm.</p>
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<p><span class="html-italic">A. viridis</span> color morphs based on pigment content. Specimens collected along the North Sicilian coast and maintained in the laboratory. The red (<span class="html-italic">rustica</span> variety) and green (<span class="html-italic">viridis</span> variety) pigment leakage is detectable after irradiation with ultraviolet light.</p>
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<p>Morphology variation after bacterial infection in <span class="html-italic">A. viridis.</span> (<b>A</b>), Schematic model of anatomy and injection site, swelling and reaction (<b>B</b>), Reaction zone (<b>C</b>), rejection and swelling of animal body 24 h after injection of suspensions of various heat-killed bacteria in (inset) the reaction after <span class="html-italic">E. coli</span> injection (<b>D</b>), <span class="html-italic">A. viridis</span> Gomori stain histological section (<b>E</b>), The original figure was produced for the study published by Trapani et al., [<a href="#B135-biology-09-00283" class="html-bibr">135</a>]. The modified figure is consistent with the topic of the review.</p>
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15 pages, 718 KiB  
Review
Oxidative Stress and Reproductive Function in the Aging Male
by Paulina Nguyen-Powanda and Bernard Robaire
Biology 2020, 9(9), 282; https://doi.org/10.3390/biology9090282 - 11 Sep 2020
Cited by 39 | Viewed by 5325
Abstract
With the delay of parenthood becoming more common, the age at which men father children is on the rise. While the effects of advanced maternal age have been well documented, only recently have studies started to focus on the impact of advanced paternal [...] Read more.
With the delay of parenthood becoming more common, the age at which men father children is on the rise. While the effects of advanced maternal age have been well documented, only recently have studies started to focus on the impact of advanced paternal age (APA) in the context of male reproduction. As men age, the antioxidant defense system gradually becomes less efficient and elevated levels of reactive oxygen species (ROS) accumulate in spermatozoa; this can impair their functional and structural integrity. In this review, we present an overview of how oxidative stress is implicated in male reproductive aging by providing a summary of the sources and roles of ROS, the theories of aging, and the current animal and human studies that demonstrate the impacts of APA on the male germ line, the health of progeny and fertility, and how treatment with antioxidants may reverse these effects. Full article
(This article belongs to the Special Issue Oxidative Stress in Gametes and Embryos)
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<p>Reactive Oxygen Species and Antioxidant pathway. Superoxide (O<sub>2</sub><sup>• −</sup>) is broken down by superoxide dismutase (SOD) into hydrogen peroxide (H<sub>2</sub>O<sub>2</sub>), which is further neutralized into water (H<sub>2</sub>O) by catalase (CAT), glutathione peroxidase (GPX), or peroxiredoxins (PRDXs). If not neutralized, H<sub>2</sub>O<sub>2</sub> can break down into hydroxyl (OH<sup>•</sup>). The reaction between superoxide and nitric oxide (NO<sup>•</sup>) generates peroxynitrite (ONOO<sup>−</sup>), which is scavenged by GPX and PRDX.</p>
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<p>Flowchart of the Consequences of Advanced Paternal Age (APA). With APA, the antioxidant defense system decreases and levels of reactive oxygen species (ROS) increase, leading to oxidative stress and cellular damage. Defective sperm can cause a decrease in fertility. In addition, damage can be passed on to the offspring, resulting in a wide array of consequences for the future generation.</p>
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17 pages, 3429 KiB  
Article
TIP_finder: An HPC Software to Detect Transposable Element Insertion Polymorphisms in Large Genomic Datasets
by Simon Orozco-Arias, Nicolas Tobon-Orozco, Johan S. Piña, Cristian Felipe Jiménez-Varón, Reinel Tabares-Soto and Romain Guyot
Biology 2020, 9(9), 281; https://doi.org/10.3390/biology9090281 - 9 Sep 2020
Cited by 4 | Viewed by 5021
Abstract
Transposable elements (TEs) are non-static genomic units capable of moving indistinctly from one chromosomal location to another. Their insertion polymorphisms may cause beneficial mutations, such as the creation of new gene function, or deleterious in eukaryotes, e.g., different types of cancer in humans. [...] Read more.
Transposable elements (TEs) are non-static genomic units capable of moving indistinctly from one chromosomal location to another. Their insertion polymorphisms may cause beneficial mutations, such as the creation of new gene function, or deleterious in eukaryotes, e.g., different types of cancer in humans. A particular type of TE called LTR-retrotransposons comprises almost 8% of the human genome. Among LTR retrotransposons, human endogenous retroviruses (HERVs) bear structural and functional similarities to retroviruses. Several tools allow the detection of transposon insertion polymorphisms (TIPs) but fail to efficiently analyze large genomes or large datasets. Here, we developed a computational tool, named TIP_finder, able to detect mobile element insertions in very large genomes, through high-performance computing (HPC) and parallel programming, using the inference of discordant read pair analysis. TIP_finder inputs are (i) short pair reads such as those obtained by Illumina, (ii) a chromosome-level reference genome sequence, and (iii) a database of consensus TE sequences. The HPC strategy we propose adds scalability and provides a useful tool to analyze huge genomic datasets in a decent running time. TIP_finder accelerates the detection of transposon insertion polymorphisms (TIPs) by up to 55 times in breast cancer datasets and 46 times in cancer-free datasets compared to the fastest available algorithms. TIP_finder applies a validated strategy to find TIPs, accelerates the process through HPC, and addresses the issues of runtime for large-scale analyses in the post-genomic era. Full article
(This article belongs to the Section Bioinformatics)
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<p>TIP_finder methodology and schematic representation of the pipeline. TE: transposable element, TIP: transposon insertion polymorphism.</p>
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<p>Flowchart of the parallel strategy implemented in TIP_finder.</p>
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<p>Total average runtime and speedup of TIP_finder -using NCBI-BLAST and MagicBLAST- and TRACKPOSON using 2, 4, 8, 16, 32, 44, and 56 cores with a randomly selected case dataset (30 million of reads) and executed 10 times (<b>A</b>,<b>B</b>), and a randomly selected control dataset (26.5 million of reads) and executed 10 times (<b>C</b>,<b>D</b>). The times for all executions can be found in <a href="#app1-biology-09-00281" class="html-app">Supplementary Material S2 Table S1</a> (for case dataset), and in <a href="#app1-biology-09-00281" class="html-app">Table S2</a> (for control dataset).</p>
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<p>TIP_finder speedup of each step with 32 cores for one case and one control datasets.</p>
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<p>Total average runtime and speedup of TIP_finder and TRACKPOSON using six randomly selected control datasets and six randomly selected case datasets, each one executed 10 times. (<b>A</b>) Comparison of runtimes between TRACKPOSON and TIP_finder (with B: NCBI-BLAST, and M: Magic-BLAST), and (<b>B</b>) the comparison of the speedup of TIP_finder (NCBI-BLAST and MagicBLAST) compared to TRACKPOSON. Additional information can be consulted in <a href="#app1-biology-09-00281" class="html-app">Table S7</a>.</p>
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<p>Number of TIPs insertions for the cases and controls identified by TIP_finder and grouped into bins of 500. Control and case patients are show in red, and in blue respectively. (<b>A</b>) Distribution of the number of TIPs insertions in cases and controls shown in blue and red, respectively. (<b>B</b>) Distribution of TIPs in controls within a range of 140–220.</p>
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<p>Distribution of TIPs insertions (Human endogenous retroviruses type K (HERV-K) insertions) for the cases and controls. The X axis represents the number of patients in log2 scale and the Y axis is the TIPs insertion number. (<b>A</b>,<b>B</b>) correspond to the cases and controls, respectively. Variations in the peaks’ frequency suggest a change in the insertional activity under a condition of interest, in this case cancer.</p>
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<p>Distribution of the number of TIPs—HERVs—along human chromosomes. The X axis represents the chromosome length (on a scale of 1 × 10<sup>8</sup>), where cases and controls are shown in blue and red, respectively. The Y axis represents the number of TIPs along the chromosome length. The arrows show the end of each chromosome. The graphs for all chromosomes are available in <a href="#app1-biology-09-00281" class="html-app">Supplementary Material S4</a>.</p>
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<p>Number of TIPs statistically associated with breast cancer.</p>
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24 pages, 1726 KiB  
Review
Factors Associated with Increased Morbidity and Mortality of Obese and Overweight COVID-19 Patients
by Amany Magdy Beshbishy, Helal F. Hetta, Diaa E. Hussein, Abdullah A. Saati, Christian C. Uba, Nallely Rivero-Perez, Adrian Zaragoza-Bastida, Muhammad Ajmal Shah, Tapan Behl and Gaber El-Saber Batiha
Biology 2020, 9(9), 280; https://doi.org/10.3390/biology9090280 - 9 Sep 2020
Cited by 29 | Viewed by 8223
Abstract
Overweight and obesity are defined as an unnecessary accumulation of fat, which poses a risk to health. It is a well-identified risk factor for increased mortality due to heightened rates of heart disease, certain cancers, musculoskeletal disorders, and bacterial, protozoan and viral infections. [...] Read more.
Overweight and obesity are defined as an unnecessary accumulation of fat, which poses a risk to health. It is a well-identified risk factor for increased mortality due to heightened rates of heart disease, certain cancers, musculoskeletal disorders, and bacterial, protozoan and viral infections. The increasing prevalence of obesity is of concern, as conventional pathogenesis may indeed be increased in obese hosts rather than healthy hosts, especially during this COVID-19 pandemic. COVID-19 is a new disease and we do not have the luxury of cumulative data. Obesity activates the development of gene induced hypoxia and adipogenesis in obese animals. Several factors can influence obesity, for example, stress can increase the body weight by allowing people to consume high amounts of food with a higher propensity to consume palatable food. Obesity is a risk factor for the development of immune-mediated and some inflammatory-mediated diseases, including atherosclerosis and psoriasis, leading to a dampened immune response to infectious agents, leading to weaker post-infection impacts. Moreover, the obese host creates a special microenvironment for disease pathogenesis, marked by persistent low-grade inflammation. Therefore, it is advisable to sustain healthy eating habits by increasing the consumption of various plant-based and low-fat foods to protect our bodies and decrease the risk of infectious diseases, especially COVID-19. Full article
(This article belongs to the Special Issue Coronavirus Disease 2019 (COVID-19))
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Graphical abstract
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<p>The coronavirus disease (COVID-19) transmission.</p>
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<p>Mechanism of COVID-19 in the host [<a href="#B40-biology-09-00280" class="html-bibr">40</a>].</p>
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<p>COVID-19 and obesity.</p>
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16 pages, 9566 KiB  
Article
Pituitary Actions of EGF on Gonadotropins, Growth Hormone, Prolactin and Somatolactins in Grass Carp
by Qiongyao Hu, Qinbo Qin, Shaohua Xu, Lingling Zhou, Chuanhui Xia, Xuetao Shi, Huiying Zhang, Jingyi Jia, Cheng Ye, Zhan Yin and Guangfu Hu
Biology 2020, 9(9), 279; https://doi.org/10.3390/biology9090279 - 8 Sep 2020
Cited by 6 | Viewed by 3095
Abstract
In mammals, epidermal growth factor (EGF) plays a vital role in both pituitary physiology and pathology. However, the functional role of EGF in the regulation of pituitary hormones has rarely reported in teleost. In our study, using primary cultured grass carp pituitary cells [...] Read more.
In mammals, epidermal growth factor (EGF) plays a vital role in both pituitary physiology and pathology. However, the functional role of EGF in the regulation of pituitary hormones has rarely reported in teleost. In our study, using primary cultured grass carp pituitary cells as an in vitro model, we examined the effects of EGF on pituitary hormone secretion and gene expression as well as the post-receptor signaling mechanisms involved. Firstly, we found that EGF significantly reduced luteinizing hormone (LHβ) mRNA expression via ErbB1 coupled to ERK1/2 pathway, but had no effect on LH release in grass carp pituitary cells. Secondly, the results showed that EGF was effective in up-regulating mRNA expression of growth hormone (GH), somatolactin α (SLα) and somatolactin β (SLβ) via ErbB1 and ErbB2 and subsequently coupled to MEK1/2/ERK1/2 and PI3K/Akt/mTOR pathways, respectively. However, EGF was not effective in GH release in pituitary cells. Thirdly, we found that EGF strongly induced pituitary prolactin (PRL) release and mRNA expression, which was mediated by ErbB1 and subsequent stimulation of MEK1/2/ERK1/2 and PI3K/Akt/mTOR pathways. Interestingly, subsequent study further found that neurokinin B (NKB) significantly suppressed EGF-induced PRL mRNA expression, which was mediated by neurokinin receptor (NK2R) and coupled to AC/cAMP/PKA signal pathway. These results suggested that EGF could differently regulate the pituitary hormones expression in grass carp pituitary cells. Full article
(This article belongs to the Section Biochemistry and Molecular Biology)
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<p>The effects of EGF on luteinizing hormone beta (LHβ) secretion and mRNA expression in grass carp pituitary cells: receptor specificity and signal pathways. (<b>A</b>) Time course of EGF (50 nM) on LHβ mRNA expression. (<b>B</b>) Time course of EGF (50 nM) on LH release in grass carp pituitary cells. (<b>C</b>) Dose experiment with increasing concentration of EGF (0.05–500 nM) on LHβ mRNA expression. for 48-h treatment. (<b>D</b>) The effects of EGF receptor inhibitors including ErbB1 inhibitor AG1478 (5 μM) and ErbB2 inhibitor AG879 (5 μM) on LHβ mRNA expression for 48 h. (<b>E</b>) The effects of 48-h cotreatment with MEK<sub>1/2</sub> inhibitor U0126 (5 μM) or ERK<sub>1/2</sub> inhibitor LY3214996 (5 μM) on EGF (50 nM)-reduced LHβ mRNA expression. (<b>F</b>) The effects of 48-h cotreatment with signal transduction inhibitors (5 μM) for PI3K/Akt/mTOR pathway on EGF (50 nM)-reduced LHβ mRNA expression. After drug treatment, the total RNA was collected and prepared for LHβ mRNA expression by using real-time PCR. Data presented are expressed as mean ± SEM (<span class="html-italic">n</span> = 4). <span class="html-italic">p &lt;</span> 0.05 (“*”) was used to present significant differences among each group. The different letters represent a significant difference at <span class="html-italic">p</span> &lt; 0.05 between groups (ANOVA followed by a Dunnett test).</p>
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<p>The effects of EGF on follicle-stimulating hormone beta (FSHβ) and gonadotropin subunit alpha (GtHα) mRNA expression in pituitary cells. (<b>A</b>) Time experiment of EGF (50 nM) on FSHβ mRNA expression from 3 to 48 h. (<b>B</b>) Dose experiment with increasing dose of EGF (0.05–500 nM) on FSHβ mRNA expression for 48-h incubation. (<b>C</b>) Time course of EGF (50 nM) on GtHα mRNA expression. (<b>D</b>) With increasing concentration of EGF (0.05–500 nM) on GtHα mRNA expression for 48-h incubation. After drug treatment, the total RNA was collected and prepared for FSHβ and GtHα mRNA expression by using real-time PCR. Data presented are expressed as mean ± SEM (<span class="html-italic">n</span> = 4).</p>
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<p>The effects of EGF on growth hormone (GH) secretion and mRNA expression in grass carp pituitary cells: receptor specificity and signal pathways. (<b>A</b>) Time course of EGF (50 nM) on GH mRNA expression. (<b>B</b>) Time course of EGF (50nM) on GH release in grass carp pituitary cells. (<b>C</b>) Dose-dependence of 48-h incubation with increasing levels of EGF (0.05–500 nM) on GH mRNA expression. (<b>D</b>) Receptor specificity for GH regulation by EGF. In this experiment, grass carp pituitary cells were treated for 48-h with EGF (50 nM) in the presence or absence of ErbB1 inhibitor AG1478 (5 μM) or ErbB2 inhibitor AG879 (5 μM), respectively. (<b>E</b>) The effects of 48-h cotreatment with MEK<sub>1/2</sub> inhibitor U0126 (5 μM) or ERK<sub>1/2</sub> inhibitor LY3214996 (5 μM) on EGF (50 nM)-induced GH mRNA expression. (<b>F</b>) The effects of 48-h cotreatment with PI<sub>3</sub>K inhibitor wortmannin (5 μM), Akt inhibitor MK2206 (5 μM) or mTOR inhibitor rapamycin (5 μM) on EGF (50 nM)-induced GH mRNA expression. After drug treatment, the total RNA was collected and prepared for real-time PCR of GH mRNA expression. Data presented are expressed as mean ± SEM (<span class="html-italic">n</span> = 4). <span class="html-italic">p &lt;</span> 0.05 (“*”) and <span class="html-italic">p &lt;</span> 0.01 (“**”) were used to present significant differences among each group. And the different letters represent a significant difference at <span class="html-italic">p</span> &lt; 0.05 between groups (ANOVA followed by a Dunnett test).</p>
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<p>EGF induced somatolactin alpha (SLα) and somatolactin beta (SLβ) mRNA expression in pituitary cells. (<b>A</b>) Time experiment of EGF (50 nM) on SLα mRNA expression from 3 to 48 h. (<b>B</b>) Dose experiment with increasing dose of EGF (0.05–500 nM) on SLα mRNA expression for 48-h incubation. (<b>C</b>) Time experiment of EGF (50 nM) on SLβ mRNA expression. (<b>D</b>) Dose experiment with increasing levels of EGF (0.05–500 nM) on SLβ mRNA expression for 48-h incubation. After drug treatment, the total RNA was collected and prepared for SLα and SLβ mRNA expression by using real-time PCR. Data presented are expressed as mean ± SEM (<span class="html-italic">n</span> = 4). <span class="html-italic">p &lt;</span> 0.05 (“*”) and <span class="html-italic">p &lt;</span> 0.01 (“**”) were used to present significant differences among each group, (ANOVA followed by a Dunnett test).</p>
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<p>Receptor specificity and post-receptor signal pathways of EGF-induced SLα and SLβ mRNA expression. Receptor specificity for SLα (<b>A</b>) and SLβ (<b>D</b>) regulation by EGF. In this experiment, grass carp pituitary cells were treated for 48-h with EGF (50 nM) in the presence or absence of ErbB1 inhibitor AG1478 (5 μM) or ErbB2 inhibitor AG879 (5 μM). The effects of 48-h co-treatment with MEK<sub>1/2</sub> inhibitor U0126 (5 μM) or ERK<sub>1/2</sub> inhibitor LY3214996 (5 μM) on EGF (50 nM)-induced SLα (<b>B</b>) and SLβ (<b>E</b>) mRNA expression, respectively. The effects of 48-h co-treatment with PI<sub>3</sub>K inhibitor wortmannin (5 μM), Akt inhibitor MK2206 (5 μM) or mTOR inhibitor rapamycin (5 μM) on EGF (50 nM)-induced SLα (<b>C</b>) and SLβ (<b>F</b>) mRNA expression, respectively. After drug treatment, the total RNA was collected and prepared for real-time PCR of SLα and SLβ mRNA expression. Data presented are expressed as mean ± SEM (<span class="html-italic">n</span> = 4). The different letters represent a significant difference at <span class="html-italic">p</span> &lt; 0.05 between groups (ANOVA followed by a Dunnett test).</p>
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<p>EGF induced prolactin (PRL) mRNA expression in grass carp pituitary cells: Receptor specificity and signal pathways. (<b>A</b>) Time course of EGF (50 nM) on PRL mRNA expression. (<b>B</b>) Time course of EGF (50 nM) on PRL release in grass carp pituitary cells. (<b>C</b>) Dose-dependence of 48-h treatment with increasing levels of EGF (0.05–500 nM) on PRL mRNA expression. (<b>D</b>) Receptor specificity for PRL regulation by EGF. In this experiment, grass carp pituitary cells were treated for 48-h with EGF (50 nM) in the presence or absence of ErbB1 inhibitor AG1478 (5 μM) or ErbB2 inhibitor AG879 (5 μM). (<b>E</b>) The effects of 48-h cotreatment with MEK<sub>1/2</sub> inhibitor U0126 (5 μM) or ERK<sub>1/2</sub> inhibitor LY3214996 (5 μM) on EGF (50 nM)-induced PRL mRNA expression. (<b>F</b>) The effects of 48-h cotreatment with PI<sub>3</sub>K inhibitor wortmannin (5 μM), Akt inhibitor MK2206 (5 μM) or mTOR inhibitor rapamycin (5 μM) on EGF (50 nM)-induced PRL mRNA expression. After drug treatment, the total RNA was collected and prepared for real-time PCR of PRL mRNA expression. Data presented are expressed as mean ± SEM (<span class="html-italic">n</span> = 4). <span class="html-italic">p &lt;</span> 0.05 (“*”) and <span class="html-italic">p &lt;</span> 0.01 (“**”) were used to present significant differences among each group. And the different letters represent a significant difference at <span class="html-italic">p</span> &lt; 0.05 between groups (ANOVA followed by a Dunnett test).</p>
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<p>The effect of EGF and NKB on PRL mRNA expression in grass carp pituitary cells. (<b>A</b>) Time course of EGF (50 nM), NKB (1 µM), EGF (50 nM) + NKB (1 µM) on PRL mRNA expression. (<b>B</b>) Dose experiment of 24-h incubation with increasing dose of EGF (0.05–500 nM) on basal and NKB (1 µM)-induced PRL mRNA expression. And the transparent dotted boxes were to present different comparisons for each dose of EGF and NKB treatments. (<b>C</b>) Dose experiment of 24-h treatment with increasing concentration of NKB (0.1–1000 nM) on basal and EGF (50 nM)-induced PRL mRNA expression. The transparent dotted boxes were to present different comparisons for each dose of EGF and NKB treatments. (<b>D</b>) Effects of NK2R agonist GR64349 (10 μM) on EGF (50 nM)-induced PRL mRNA expression. (<b>E</b>) Effect of NK2R antagonist GR159897 (10 µM) on EGF (50 nM) + NKB (1 µM)-induced PRL mRNA expression. In this study, pituitary cells were treated for 24-h with NKB (1 µM), EGF (50 nM) and EGF (50 nM) + NKB (1 µM) in the presence or absence of NK2R antagonist GR159897 (10 µM). (<b>F</b>) Effects of AC activator Forskolin (1 μM) on EGF (50 nM)-induced PRL mRNA expression for 24 h. After drug treatment, the total RNA was collected and prepared for PRL mRNA expression by using real-time PCR. In this experiment, the one/two-way ANOVA was tested for significant differences among dose experiments with EGF and NKB treatments. Data presented are expressed as mean ± SEM (<span class="html-italic">n</span> = 4). The different letters represent a significant difference at <span class="html-italic">p</span> &lt; 0.05 between groups (ANOVA followed by a Dunnett test).</p>
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<p>Working modal of pituitary hormones regulation by EGF in grass carp pituitary cells. EGF-reduced LHβ mRNA expression was mediated by ErbB1 homodimerization coupled to ERK<sub>1/2</sub> pathway. EGF-induced GH, SLα and SLβ mRNA expression were mediated by ErbB1 and ErbB2 heterodimerization coupled to MEK<sub>1/2</sub>/ERK<sub>1/2</sub> pathway and PI<sub>3</sub>K/Akt/mTOR pathway, respectively. EGF-induced PRL release and mRNA expression was mediated by ErbB1 via MEK<sub>1/2</sub>/ERK<sub>1/2</sub> pathway and PI<sub>3</sub>K/Akt/mTOR pathway. In addition, the inhibitory effect of NKB on EGF-induced PRL mRNA expression was mediated by NK2R coupled to AC/cAMP/PKA pathway. The blue down arrows were represented by down-regulation and the red up arrows were represented by up-regulation. The grey circle arrows were indicated that the hypothesis of cross-talk among signal pathways.</p>
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18 pages, 4394 KiB  
Article
Essentiality and Transcriptome-Enriched Pathway Scores Predict Drug-Combination Synergy
by Jin Li, Yang Huo, Xue Wu, Enze Liu, Zhi Zeng, Zhen Tian, Kunjie Fan, Daniel Stover, Lijun Cheng and Lang Li
Biology 2020, 9(9), 278; https://doi.org/10.3390/biology9090278 - 7 Sep 2020
Cited by 10 | Viewed by 4541
Abstract
In the prediction of the synergy of drug combinations, systems pharmacology models expand the scope of experiment screening and overcome the limitations of current computational models posed by their lack of mechanical interpretation and integration of gene essentiality. We therefore investigated the synergy [...] Read more.
In the prediction of the synergy of drug combinations, systems pharmacology models expand the scope of experiment screening and overcome the limitations of current computational models posed by their lack of mechanical interpretation and integration of gene essentiality. We therefore investigated the synergy of drug combinations for cancer therapies utilizing records in NCI ALMANAC, and we employed logistic regression to test the statistical significance of gene and pathway features in that interaction. We trained our predictive models using 43 NCI-60 cell lines, 165 KEGG pathways, and 114 drug pairs. Scores of drug-combination synergies showed a stronger correlation with pathway than gene features in overall trend analysis and a significant association with both genes and pathways in genome-wide association analyses. However, we observed little overlap of significant gene expressions and essentialities and no significant evidence that associated target and non-target genes and their pathways. We were able to validate four drug-combination pathways between two drug combinations, Nelarabine-Exemestane and Docetaxel-Vermurafenib, and two signaling pathways, PI3K-AKT and AMPK, in 16 cell lines. In conclusion, pathways significantly outperformed genes in predicting drug-combination synergy, and because they have very different mechanisms, gene expression and essentiality should be considered in combination rather than individually to improve this prediction. Full article
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<p>Comparison of significant correlations between drug pairs and genes and drug pairs and pathways under different thresholds. (<b>a</b>,<b>b</b>) Number and false discovery rate (FDR) of significant correlation between drug pairs and genes. (<b>c</b>,<b>d</b>) Number and FDR of significant correlation between drug pairs and pathways.</p>
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<p>Manhattan plots of correlation <span class="html-italic">p</span>-values. (<b>a</b>) Gene expression data, (<b>b</b>) gene essentiality data. In these figures, the X axis represents the genes, and the Y axis represents the overall <span class="html-italic">p</span>-value (–log10).</p>
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<p>Scatter plots of correlation <span class="html-italic">p</span>-values in Pathway Analysis 3. (<b>a</b>) Gene expression data, (<b>b</b>) gene essentiality data, (<b>c</b>) combined data. In these figures, the X axis represents the pathways, and the Y axis represents the overall <span class="html-italic">p</span>-value (−log10).</p>
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<p>Venn plots illustrating results between gene expression and essentiality. (<b>a</b>) Number of significant drug combination-gene relationships using gene expression and essentiality, (<b>b</b>) number of significant drug combination-pathway relationships using gene expression and essentiality.</p>
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<p>Violin plots of <span class="html-italic">p</span>-values for target and non-target genes (<b>a</b>,<b>b</b>) and pathways (<b>c</b>,<b>d</b>) using (<b>a</b>) gene expression, (<b>b</b>) gene essentiality, (<b>c</b>) gene expression, and (<b>d</b>) gene essentiality.</p>
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<p>Scatter plot of the <span class="html-italic">p</span>-values from gene expression and essentiality. The more points in the main diagonal, the more correlation between the 2 groups. (<b>a</b>–<b>c</b>) Feature groups 1–3.</p>
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<p>Box plot of the number of active genes in the KEGG pathway. The lines in the box are First quartile (Q1), Medium (Q2), and Third quartile (Q3). (<b>a</b>,<b>c</b>) training data; (<b>b</b>,<b>d</b>) validation data.</p>
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<p>Docetaxel, Vemurafenib and targeted pathways.</p>
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22 pages, 3951 KiB  
Article
Skim-Sequencing Based Genotyping Reveals Genetic Divergence of the Wild and Domesticated Population of Black Tiger Shrimp (Penaeus monodon) in the Indo-Pacific Region
by Li Lian Wong, Zulaikha Mat Deris, Yoji Igarashi, Songqian Huang, Shuichi Asakawa, Qasim Ayub, Shu Yong Lim, Mhd Ikhwanuddin, Shumpei Iehata, Kazutoshi Okamoto, Mariom and Md Asaduzzaman
Biology 2020, 9(9), 277; https://doi.org/10.3390/biology9090277 - 7 Sep 2020
Cited by 6 | Viewed by 5332
Abstract
The domestication of a wild-caught aquatic animal is an evolutionary process, which results in genetic discrimination at the genomic level in response to strong artificial selection. Although black tiger shrimp (Penaeus monodon) is one of the most commercially important aquaculture species, [...] Read more.
The domestication of a wild-caught aquatic animal is an evolutionary process, which results in genetic discrimination at the genomic level in response to strong artificial selection. Although black tiger shrimp (Penaeus monodon) is one of the most commercially important aquaculture species, a systematic assessment of genetic divergence and structure of wild-caught and domesticated broodstock populations of the species is yet to be documented. Therefore, we used skim sequencing (SkimSeq) based genotyping approach to investigate the genetic structure of 50 broodstock individuals of P. monodon species, collected from five sampling sites (n = 10 in each site) across their distribution in Indo-Pacific regions. The wild-caught P. monodon broodstock population were collected from Malaysia (MS) and Japan (MJ), while domesticated broodstock populations were collected from Madagascar (MMD), Hawaii, HI, USA (MMO), and Thailand (MT). After various filtering process, a total of 194,259 single nucleotide polymorphism (SNP) loci were identified, in which 4983 SNP loci were identified as putatively adaptive by the pcadapt approach. In both datasets, pairwise FST estimates high genetic divergence between wild and domesticated broodstock populations. Consistently, different spatial clustering analyses in both datasets categorized divergent genetic structure into two clusters: (1) wild-caught populations (MS and MJ), and (2) domesticated populations (MMD, MMO and MT). Among 4983 putatively adaptive SNP loci, only 50 loci were observed to be in the coding region. The gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses suggested that non-synonymous mutated genes might be associated with the energy production, metabolic functions, respiration regulation and developmental rates, which likely act to promote adaptation to the strong artificial selection during the domestication process. This study has demonstrated the applicability of SkimSeq in a highly duplicated genome of P. monodon specifically, across a range of genetic backgrounds and geographical distributions, and would be useful for future genetic improvement program of this species in aquaculture. Full article
(This article belongs to the Section Marine Biology)
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<p>Sampling sites of five broodstock populations of <span class="html-italic">Penaeus monodon</span> in the Indo-Pacific region. MMD (Madagascar), MT (Thailand) and MMO (Hawaii, HI, USA) represent domesticated populations, while MS (Malaysia) and MJ (Japan) are wild-caught populations. Values in parentheses denote the sample size for each population.</p>
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<p>Separation of the putatively adaptive panels of single nucleotide polymorphisms (SNPs) loci, based on the pcadapt approaches. Among the 194,259 SNP loci, the pcadapt approach detected 4983 SNPs, as putative adaptive loci (above the dotted line).</p>
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<p>Plots showing the discriminant analysis of principal components (DAPCs) of genetic differentiation for the all (<b>A</b>) and the putatively adaptive (<b>B</b>) SNP loci of five broodstock populations of <span class="html-italic">Penaeus monodon</span>. Ovals are the inertial ellipse, dot represent individual genotypes and the line extends to centroids of each population Here, MJ indicate samples from Shizuoka, Japan (wild); MMD indicates samples from Mahajamba, Madagascar (Domesticated); MMO indicates samples from Hawaii, HI, USA (Domesticated); MS indicate samples from Setiu Wetland, Malaysia (wild); MT indicates samples from Petchaburi, Thailand (Domesticated).</p>
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<p>Neighbor-joining trees based on the Nei’s genetic distances for all SNP loci dataset (<b>A</b>) and the putatively adaptive panel of SNP loci dataset (<b>B</b>) of five broodstock populations of <span class="html-italic">Penaeus monodon</span> in the Indo-Pacific region. Branch nodes are denoted as the percentage of bootstrap support that was generated with 1000 replicates. Here, MJ indicate samples from Shizuoka, Japan (wild); MS indicate samples from Setiu Wetland, Malaysia (wild); MMD indicates samples collected from Mahajamba, Madagascar (Domesticated); MMO indicates samples from Hawaii, HI, USA (Domesticated); MT indicates samples from Petchaburi Province, Thailand (Domesticated). The numeric number next to the sample name abbreviation indicates the respective individual tag number during collection.</p>
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<p>Bayesian STRUCTURE bar plot for all SNP loci dataset (<b>A</b>) and the putatively adaptive panel of SNP loci dataset identified by pcadapt approaches (<b>B</b>) of five broodstock populations of <span class="html-italic">Penaeus monodon</span> in the Indo-Pacific region. Each color represents the proportion of inferred ancestry from K ancestral populations and each bar represents an individual sample. Based on the delta K statistic, the best supported number of a posteriori genetic clusters was K = 2 for the standard admixture model. Here, MJ indicate samples from Shizuoka, Japan (wild); MS indicate samples from Setiu Wetland, Malaysia (wild); MMD indicates samples from Mahajamba, Madagascar (Domesticated); MMO indicates samples from Hawaii, HI, USA (Domesticated); MT indicates samples from Petchaburi Province, Thailand (Domesticated). The numeric number next to the sample name abbreviation indicates the respective individual tag number during collection.</p>
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<p>Gene ontology (GO) pathway enrichment analysis for the 50 genes encoded by the putatively adaptive SNP loci in <span class="html-italic">P. monodon</span> population.</p>
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<p>Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways enrichment analysis for the 50 genes encoded by the putatively adaptive SNP loci in <span class="html-italic">P. monodon</span> population.</p>
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16 pages, 1035 KiB  
Article
Measurable Cytokine Concentrations in Pig Seminal Plasma Are Modified by Semen Handling and Storage
by Lorena Padilla, Isabel Barranco, Inmaculada Parrilla, Xiomara Lucas, Heriberto Rodriguez-Martinez and Jordi Roca
Biology 2020, 9(9), 276; https://doi.org/10.3390/biology9090276 - 7 Sep 2020
Cited by 6 | Viewed by 2801
Abstract
Sample handling and storing are critical steps for the reliable measurement of circulating biomolecules in biological fluids. This study evaluates how cytokine measurements in pig seminal plasma (SP) vary depending on semen handling and SP storage. Thirteen cytokines (GM-CSF, IFNγ, IL-1α, IL-1β, IL-1ra, [...] Read more.
Sample handling and storing are critical steps for the reliable measurement of circulating biomolecules in biological fluids. This study evaluates how cytokine measurements in pig seminal plasma (SP) vary depending on semen handling and SP storage. Thirteen cytokines (GM-CSF, IFNγ, IL-1α, IL-1β, IL-1ra, IL-2, IL-4, IL-6, IL-8, IL-10, IL-12, IL-18 and TNFα) were measured using Luminex xMAP® technology in individual seminal plasma (SP) samples (n = 62) from healthy breeding boars. Three separate experiments explored the delay (2 h and 24 h) in SP collection after ejaculation (Experiment 1) and SP storage, either short-term (5 °C, −20 °C and −80 °C for 72 h, Experiment 2) or long-term (at −20 °C and −80 °C for two months, Experiment 3), before analysis. Levels in fresh SP-samples were used as baseline control values. Delays in SP harvesting of up to 24 h did not substantially impact SP cytokine measurements. Some cytokines showed instability in stored SP samples, mainly in long-term storage. Ideally, cytokines in pig SP should be measured in fresh samples harvested within 24 h after ejaculation. If storage of SP is imperative, storage conditions should be adjusted for each cytokine. Full article
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Graphical abstract

Graphical abstract
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<p>Box-and-whisker plot (horizontal line: median; box: 25/75 percentile; whisker: 10/90 percentile) showing the differences in cytokine concentrations measured in pig seminal plasma samples (SP) harvested 2 h and 24 h after ejaculate collection with respect to those harvested immediately after ejaculation (baseline samples, point 0 on Y axis). Below the X-axis is the concordance correlation coefficient (ρc) and 95% confidence interval (CI) showing agreement between the cytokine concentrations of the baseline and the experimental SP samples. Cytokines: Granulocyte macrophage colony-stimulating factor (GM-CSF), interferon-gamma (IFNγ), interleukin (IL)-1α, IL-1β, IL-1ra, IL-2, IL-4, IL-6, IL-8, IL-10, IL-12, IL-18 and tumor necrosis factor-α (TNFα). Asterisks indicate statistical differences with baseline data. ** <span class="html-italic">p</span> &lt; 0.01; * <span class="html-italic">p</span> &lt; 0.05.</p>
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<p>Box-and-whisker plot (horizontal line: median; box: 25/75 percentile; whisker: 10/90 percentile) showing the differences in cytokine concentrations measured in pig seminal plasma samples (SP) stored at 5 °C, −20 °C and −80 °C for 72 h with respect to those measured in fresh samples (baseline samples, point 0 in Y axis). Below the X-axis is the concordance correlation coefficient (ρc) and 95% confidence interval (CI), showing agreement between cytokine concentrations of baseline and experimental SP samples. Cytokines: Granulocyte macrophage colony-stimulating factor (GM-CSF), interferon-gamma (IFNγ), interleukin (IL)-1α, IL-1β, IL-1ra, IL-2, IL-4, IL-6, IL-8, IL-10, IL-12, IL-18 and tumor necrosis factor-α (TNFα). Asterisks indicate statistical differences with baseline data. *** <span class="html-italic">p</span> &lt; 0.001; ** <span class="html-italic">p</span> &lt; 0.01; * <span class="html-italic">p</span> &lt; 0.05.</p>
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<p>Box-and-whisker plot (horizontal line: median; box: 25/75 percentile; whisker: 10/90 percentile) showing differences in cytokine concentrations measured in pig seminal plasma samples (SP) stored at −20 °C and −80 °C for two months with respect to those measured in fresh samples (baseline samples, point 0 on the Y axis). Below the X-axis is the concordance correlation coefficient (ρc) and 95% confidence interval (CI), showing agreement between cytokine concentrations of the baseline and experimental SP samples. Cytokines: Granulocyte macrophage colony-stimulating factor (GM-CSF), interferon-gamma (IFNγ), interleukin (IL)-1α, IL-1β, IL-1ra, IL-2, IL-4, IL-6, IL-8, IL-10, IL-12, IL-18 and tumor necrosis factor-α (TNFα). Asterisks indicate statistical differences with baseline data. *** <span class="html-italic">p</span> &lt; 0.001; ** <span class="html-italic">p</span> &lt; 0.01; * <span class="html-italic">p</span> &lt; 0.05.</p>
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