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Toxins, Volume 13, Issue 8 (August 2021) – 83 articles

Cover Story (view full-size image): α-hemolysin (HlyA) of B2 phylogroup E. coli contributes to intestinal inflammation. In Caco-2 cells, HlyA induces a decrease in phosphoinositide (PIP2) at the membrane via PTEN inhibition. This leads to cell polarity changes and epithelial leakiness via disruption of cell junctions and cell detachment. To visualize the abundance of PIP2, we used the Pleckstrin Homology (PH) domain of PLCδ fused to GFP as a biosensor (GFP-PH-PLCδ). The tight junction changes observed in this study display early events in cell loss towards focal leak formation and cell shedding. These mechanisms point to the leak flux type of diarrhea. Progression of the barrier dysfunction contributes to antigen influx and leaky gut. Epithelial cell signaling analysis indicates the inflammatory and carcinogenic impact of HlyA. View this paper
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20 pages, 2054 KiB  
Article
Changes in Growth, Photosynthesis Performance, Pigments, and Toxin Contents of Bloom-Forming Cyanobacteria after Exposure to Macroalgal Allelochemicals
by Gracjana Budzałek, Sylwia Śliwińska-Wilczewska, Marek Klin, Kinga Wiśniewska, Adam Latała and Józef Maria Wiktor
Toxins 2021, 13(8), 589; https://doi.org/10.3390/toxins13080589 - 23 Aug 2021
Cited by 3 | Viewed by 3640
Abstract
Macroalgae can directly restrict the growth of various phytoplankton species by releasing allelopathic compounds; therefore, considerable attention should be paid to the allelopathic potential of these organisms against harmful and bloom-forming cyanobacteria. The main aim of this study was to demonstrate for the [...] Read more.
Macroalgae can directly restrict the growth of various phytoplankton species by releasing allelopathic compounds; therefore, considerable attention should be paid to the allelopathic potential of these organisms against harmful and bloom-forming cyanobacteria. The main aim of this study was to demonstrate for the first time the allelopathic activity of Ulva intestinalis on the growth, the fluorescence parameters: the maximum PSII quantum efficiency (Fv/Fm) and the effective quantum yield of PSII photochemistry (ΦPSII), the chlorophyll a (Chl a) and carotenoid (Car) content, and the microcystin-LR (MC-LR) and phenol content of three bloom-forming cyanobacteria, Aphanizomenon sp., Nodularia spumigena, and Nostoc sp. We found both negative and positive allelopathic effects of U. intestinalis on tested cyanobacteria. The study clearly showed that the addition of the filtrate of U. intestinalis significantly inhibited growth, decreased pigment content and Fv/Fm and ΦPSII values of N. spumigena and Nostoc sp., and stimulated Aphanizomenon sp. The addition of different concentrations of aqueous extract also stimulated the cyanobacterial growth. It was also shown that the addition of extract obtained from U. intestinalis caused a significant decrease in the MC-LR content in Nostoc sp. cells. Moreover, it the phenol content in N. spumigena cells was increased. On the other hand, the cell-specific phenol content for Aphanizomenon sp. decreased due to the addition of the filtrate. In this work, we demonstrated that the allelopathic effect of U. intestinalis depends on the target species’ identity as well as the type of allelopathic method used. The study of the allelopathic Baltic macroalgae may help to identify their possible role as a significant biological factor influencing harmful cyanobacterial blooms in brackish ecosystems. Full article
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<p>Number of cells (N = 10<sup>5</sup> cell mL<sup>−1</sup>) for <span class="html-italic">Aphanizomenon</span> sp. BA69 (<b>A</b>), <span class="html-italic">N. spumigena</span> BA15 (<b>B</b>), and <span class="html-italic">Nostoc</span> sp. BA81 (<b>C</b>) for controls and treatments with different concentrations of extract and cell-free filtrate additions obtained from macroalgae <span class="html-italic">U. intestinalis</span> after 7 (<b>a</b>) and 14 (<b>b</b>) days of the expositions (<span class="html-italic">n</span> = 3). Different letters indicate significant differences between the means of the treatments (<span class="html-italic">p</span> &lt; 0.05, one-way ANOVA). Error bars display the standard deviation.</p>
Full article ">Figure 2
<p>Chl <span class="html-italic">a</span> (pg cell<sup>−1</sup>; <b>a</b>) and Car (pg cell<sup>−1</sup>; <b>b</b>) content for <span class="html-italic">Aphanizomenon</span> sp. BA69 (<b>A</b>), <span class="html-italic">N. spumigena</span> BA15 (<b>B</b>), and <span class="html-italic">Nostoc</span> sp. BA81 (<b>C</b>) for controls and treatments with different concentrations of extract and cell-free filtrate additions obtained from macroalgae <span class="html-italic">U. intestinalis</span> after 7 days of the expositions (<span class="html-italic">n</span> = 3). Different letters indicate significant differences between the means of the treatments (<span class="html-italic">p</span> &lt; 0.05, one-way ANOVA). Error bars display the standard deviation.</p>
Full article ">Figure 3
<p><span class="html-italic">F</span><sub>v</sub>/<span class="html-italic">F</span><sub>m</sub> (<b>a</b>) and ΦPSII (<b>b</b>) parameters for <span class="html-italic">Aphanizomenon</span> sp. BA69 (<b>A</b>), <span class="html-italic">N. spumigena</span> BA15 (<b>B</b>), and <span class="html-italic">Nostoc</span> sp. BA81 (<b>C</b>) for controls and treatments with different concentrations of extract and cell-free filtrate additions obtained from macroalgae <span class="html-italic">U. intestinalis</span> after 7 days of the expositions (<span class="html-italic">n</span> = 3). Different letters indicate significant differences between the means of the treatments (<span class="html-italic">p</span> &lt; 0.05, one-way ANOVA). Error bars display the standard deviation.</p>
Full article ">Figure 4
<p>Light microscope photographs of <span class="html-italic">Aphanizomenon</span> sp. BA69 (<b>A</b>), <span class="html-italic">N. spumigena</span> BA15 (<b>B</b>), and <span class="html-italic">Nostoc</span> sp. BA81 (<b>C</b>). ((<b>a</b>); scale = 10 μm). photographs of the cyanobacterial culture in 25-mL glass flasks from the ex-perimental phase (<b>b</b>); and PAR absorption spectra determined for this strain at an optical density (OD750) = 0.1 (<b>c</b>).</p>
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18 pages, 5424 KiB  
Article
Evaluation of Inner Exposure of Horses to Zearalenone (ZEN), Deoxynivalenol (DON) and Their Metabolites in Relation to Colic and Health-Related Clinical-Chemical Traits
by Sven Dänicke, Janine Saltzmann, Wendy Liermann, Maren Glatter, Liane Hüther, Susanne Kersten, Annette Zeyner, Karsten Feige and Tobias Warnken
Toxins 2021, 13(8), 588; https://doi.org/10.3390/toxins13080588 - 23 Aug 2021
Cited by 2 | Viewed by 3280
Abstract
Mycotoxin contaminated feed has been associated with colic of horses caused by intestinal disorders. Whether such disease conditions alter the intestinal toxin metabolism and transfer across a compromised mucosal barrier is unknown. A screening approach was used to relate blood residue levels of [...] Read more.
Mycotoxin contaminated feed has been associated with colic of horses caused by intestinal disorders. Whether such disease conditions alter the intestinal toxin metabolism and transfer across a compromised mucosal barrier is unknown. A screening approach was used to relate blood residue levels of DON, ZEN and their metabolites to the status of the horses (sick vs. healthy). A total of 55 clinically healthy horses from 6 different farms with varying feeding background served as control for sick horses (N = 102) hospitalized due to colic. ZEN, alpha-zearalenol (ZEL), beta-ZEL and DON were detectable in peripheral blood as indicators for the inner exposure with significant farm effects for alpha- and beta-ZEL. However, the levels in sick horses were similar to all farms. Moreover, the proportion of beta-ZEL of all detected ZEN metabolites as an indicator for the degree of metabolism of ZEN was not different for sick horses but differed amongst the control farms. Although the incidence of DON in blood was generally low and not significantly different amongst healthy and sick horses, the positive samples were nearly exclusively found in sick horses suggesting either a higher toxin transfer, an association of DON with the development of colic or a different feeding background. Full article
(This article belongs to the Special Issue Biomonitoring of Mycotoxins)
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<p>Zearalenone (ZEN) (<b>A</b>), alpha-zearalenol (alpha-ZEL) (<b>B</b>) and beta-ZEL (<b>C</b>) concentrations in blood serum of horses, proportion of beta-ZEL of the sum of ZEN, alpha- and beta-ZEL (<b>D</b>) and serum deoxynivalenol (DON) concentrations (<b>E</b>) in horses hospitalized for colic (Farm 1, <span class="html-italic">n</span> = 102) and of clinically healthy horses from 6 different farms (Farm 2 to 7, <span class="html-italic">n</span> = 7–12). Boxes represent the span between the 25th and 75th percentile, the horizontal line within the boxes the median and the whiskers the range between minimum and maximum values. ab, distributions not sharing similar superscripts differ significantly (<span class="html-italic">p</span> &lt; 0.05). Limits of detection (LOD) and of quantification (LOQ) are shown in (<b>F</b>) for ZEN, alpha-ZEL, beta-ZEL, zearalanone (ZAN), alpha-zearalanol (alpha-ZAL), beta-ZAL, DON and de-epoxy-DON (DOM-1).</p>
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<p>Total protein and albumin concentrations (<b>A</b>,<b>B</b>), kynurenine (Kyn) to tryptophan (Trp) ratio (<b>C</b>), aspartate amino transferase (<b>D</b>), gamma-glutamyl transferase (<b>E</b>) and glutamate dehydrogenase (<b>F</b>) activities in blood of horses hospitalized for colic (Farm 1, <span class="html-italic">n</span> = 102) and of clinically healthy horses from 6 different farms (Farm 2 to 7, <span class="html-italic">n</span> = 7–12). Boxes represent the span between the 25th and 75th percentile, the horizontal line within the boxes the median and the whiskers the range between minimum and maximum values except for the Kyn to Trp ratio, where the boxes represent the ± range of the standard deviation and the horizontal line the mean value. ab distributions or mean values not sharing similar superscripts differ significantly (<span class="html-italic">p</span> &lt; 0.05). Reference ranges (minimum-maximum) or maximum reference values [<a href="#B36-toxins-13-00588" class="html-bibr">36</a>,<a href="#B37-toxins-13-00588" class="html-bibr">37</a>] are indicated by horizontal red broken lines.</p>
Full article ">Figure 3
<p>Serum albumin concentration in dependence on total protein content in serum (y = 20.5 + 0.27·x, r² = 0.27, <span class="html-italic">p</span> &lt; 0.001, residual standard deviation = 3.0 g/L, N = 153) (<b>A</b>). Associations between aspartate amino transferase (AST) activity and kynurenine (Kyn) to tryptophan (Trp) ratio in serum in relation to the reference value for AST and to the highest Kyn to Trp ratio observed in healthy horses (broken lines) (<b>B</b>). Farm 1 <span class="html-fig-inline" id="toxins-13-00588-i001"> <img alt="Toxins 13 00588 i001" src="/toxins/toxins-13-00588/article_deploy/html/images/toxins-13-00588-i001.png"/></span>, 2 <span class="html-fig-inline" id="toxins-13-00588-i002"> <img alt="Toxins 13 00588 i002" src="/toxins/toxins-13-00588/article_deploy/html/images/toxins-13-00588-i002.png"/></span>, 3 <span class="html-fig-inline" id="toxins-13-00588-i003"> <img alt="Toxins 13 00588 i003" src="/toxins/toxins-13-00588/article_deploy/html/images/toxins-13-00588-i003.png"/></span>, 4 <span class="html-fig-inline" id="toxins-13-00588-i004"> <img alt="Toxins 13 00588 i004" src="/toxins/toxins-13-00588/article_deploy/html/images/toxins-13-00588-i004.png"/></span>, 5 <span class="html-fig-inline" id="toxins-13-00588-i005"> <img alt="Toxins 13 00588 i005" src="/toxins/toxins-13-00588/article_deploy/html/images/toxins-13-00588-i005.png"/></span>, 6 <span class="html-fig-inline" id="toxins-13-00588-i006"> <img alt="Toxins 13 00588 i006" src="/toxins/toxins-13-00588/article_deploy/html/images/toxins-13-00588-i006.png"/></span>, 7 <span class="html-fig-inline" id="toxins-13-00588-i007"> <img alt="Toxins 13 00588 i007" src="/toxins/toxins-13-00588/article_deploy/html/images/toxins-13-00588-i007.png"/></span>.</p>
Full article ">Figure 4
<p>Visualization of the results of the principal component analysis. Shown are the projection of the variables and of the status (healthy or intestine disorders) (<b>A</b>), and of the cases (individual horses) (<b>B</b>), respectively, into the space spanned between the first two components (PC or factors). Abbreviations for serum variables: GGT = gamma-glutamyl-transferase; GLDH = glutamate dehydrogenase; AST = aspartate aminotransferase; Prot = total protein; Alb = albumin; Trp = tryptophan; Kyn = Kynurenine; Kyn_Trp = ratio between Kyn and Trp; a-ZEL = alpha-zearalenol (ZEL); b-ZEL = beta-ZEL; ZEN = zearalenone; b_prop = proportion of b-ZEL of the sum of ZEN, a- and b-ZEL; DON = deoxynivalenol. Farm <span class="html-fig-inline" id="toxins-13-00588-i001"> <img alt="Toxins 13 00588 i001" src="/toxins/toxins-13-00588/article_deploy/html/images/toxins-13-00588-i001.png"/></span>, 2 <span class="html-fig-inline" id="toxins-13-00588-i002"> <img alt="Toxins 13 00588 i002" src="/toxins/toxins-13-00588/article_deploy/html/images/toxins-13-00588-i002.png"/></span>, 3 <span class="html-fig-inline" id="toxins-13-00588-i003"> <img alt="Toxins 13 00588 i003" src="/toxins/toxins-13-00588/article_deploy/html/images/toxins-13-00588-i003.png"/></span>, 4 <span class="html-fig-inline" id="toxins-13-00588-i004"> <img alt="Toxins 13 00588 i004" src="/toxins/toxins-13-00588/article_deploy/html/images/toxins-13-00588-i004.png"/></span>, 5 <span class="html-fig-inline" id="toxins-13-00588-i005"> <img alt="Toxins 13 00588 i005" src="/toxins/toxins-13-00588/article_deploy/html/images/toxins-13-00588-i005.png"/></span>, 6 <span class="html-fig-inline" id="toxins-13-00588-i006"> <img alt="Toxins 13 00588 i006" src="/toxins/toxins-13-00588/article_deploy/html/images/toxins-13-00588-i006.png"/></span>, 7 <span class="html-fig-inline" id="toxins-13-00588-i007"> <img alt="Toxins 13 00588 i007" src="/toxins/toxins-13-00588/article_deploy/html/images/toxins-13-00588-i007.png"/></span>.</p>
Full article ">Figure 5
<p>Time profiles of zearalenone (ZEN, in blue) and beta-zearalenol (beta-ZEL, in red) concentrations in blood of horses fed a ration containing 19 µg ZEN and 512 µg DON/kg feed corresponding to an exposure of 53 (±4) ng ZEN/kg body weight (bw) and 1420 (±3) ng DON/kg bw, respectively (<b>A</b>). Exposure was calculated based on this single morning meal given at −60 min as hay, and at 0 min as concentrate feed. Blood was sampled before offering these feed components and frequently until 300 min after offering the concentrate feed proportion (<span class="html-italic">n</span> = 5). Only values higher than the limits of quantification (LOQ) were plotted. Slopes of the linear regressions were not significantly different from zero (<span class="html-italic">p</span> &gt; 0.05). Tryptophan (Trp) (<b>B</b>) and kynurenine (Kyn) (<b>C</b>) concentrations and the resulting molar ratio of Kyn to Trp (<b>D</b>) in blood of the same horses. Squares represent the lsmeans and whiskers the standard errors of the lsmeans (<span class="html-italic">n</span> = 5); a–e lsmeans not sharing similar superscripts differ significantly (<span class="html-italic">p</span> &lt; 0.05).</p>
Full article ">
14 pages, 3124 KiB  
Article
In Vitro and In Vivo Analysis of Ochratoxin A-Derived Glucuronides and Mercapturic Acids as Biomarkers of Exposure
by Raphael Dekant, Michael Langer, Maria Lupp, Cynthia Adaku Chilaka and Angela Mally
Toxins 2021, 13(8), 587; https://doi.org/10.3390/toxins13080587 - 23 Aug 2021
Cited by 9 | Viewed by 3668
Abstract
Ochratoxin A (OTA) is a widespread food contaminant, with exposure estimated to range from 0.64 to 17.79 ng/kg body weight (bw) for average consumers and from 2.40 to 51.69 ng/kg bw per day for high consumers. Current exposure estimates are, however, associated with [...] Read more.
Ochratoxin A (OTA) is a widespread food contaminant, with exposure estimated to range from 0.64 to 17.79 ng/kg body weight (bw) for average consumers and from 2.40 to 51.69 ng/kg bw per day for high consumers. Current exposure estimates are, however, associated with considerable uncertainty. While biomarker-based approaches may contribute to improved exposure assessment, there is yet insufficient data on urinary metabolites of OTA and their relation to external dose to allow reliable estimates of daily intake. This study was designed to assess potential species differences in phase II biotransformation in vitro and to establish a correlation between urinary OTA-derived glucuronides and mercapturic acids and external exposure in rats in vivo. In vitro analyses of OTA metabolism using the liver S9 of rats, humans, rabbits and minipigs confirmed formation of an OTA glucuronide but provided no evidence for the formation of OTA-derived mercapturic acids to support their use as biomarkers. Similarly, OTA-derived mercapturic acids were not detected in urine of rats repeatedly dosed with OTA, while indirect analysis using enzymatic hydrolysis of the urine samples prior to LC–MS/MS established a linear relationship between urinary glucuronide excretion and OTA exposure. These results support OTA-derived glucuronides but not mercapturic acids as metabolites suitable for biomonitoring. Full article
(This article belongs to the Special Issue Toxicological Effects of Mycotoxins)
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<p>Structures of Ochratoxin A (OTA)-derived glucuronides proposed by [<a href="#B10-toxins-13-00587" class="html-bibr">10</a>] (acyl-glucuronide (<b>1</b>), phenol-glucuronide (<b>2</b>) and amino-glucuronide (<b>3</b>)) and structure of OTB-NAC (<b>4</b>) reported to be present in human urine.</p>
Full article ">Figure 2
<p>Representative LC–MS chromatograms of urine obtained from rats treated with OTA at 2 mg/kg bw for 2 weeks (<b>a</b>) and 210 µg/kg bw for 13 weeks (<b>b</b>) obtained by direct (<b>a</b>) and indirect analysis with and without β-glucuronidase treatment (<b>b</b>). Multiple reaction monitoring of <span class="html-italic">m/z</span>-transitions 578/402 and 578/358 demonstrating formation of an OTA-glucuronide in in vitro incubations of OTA with liver S9 from rats, rabbits, minipigs and humans (<b>c</b>). Enhanced product ion spectrum [M-H]<sup>−</sup> showing typical mass fragments of <span class="html-italic">m/z</span> 402, 358, 193, 175 and 113, consistent with a previously reported OTA-acyl-glucuronide [<a href="#B10-toxins-13-00587" class="html-bibr">10</a>] (<b>d</b>).</p>
Full article ">Figure 3
<p>Urinary excretion of OTA-glucuronides within 24 h in rats treated with OTA at 0, 21, 70 or 210 μg/kg per bw (5 days/week) for 2, 4 and 13 weeks. Data are presented as mean ± standard deviation (<span class="html-italic">n</span> = 3–5 animals per group). The Pearson correlation coefficients (R<sup>2</sup>) and linear equations for the linear trend lines are displayed.</p>
Full article ">Figure 4
<p>(<b>a</b>) LC–MS analysis of the photoreaction of OTA in the presence of NAC, yielding OTB-NAC and OTHQ-NAC. EPI spectra of the NAC conjugates OTHQ-NAC (<b>b</b>) and OTB-NAC (<b>c</b>).</p>
Full article ">Figure 5
<p>(<b>a</b>) LC–MS analysis of urine of a rat treated with OTA at 210 µg/kg bw for 90 days, showing the total ion chromatogram (TIC) and extracted ion chromatograms of <span class="html-italic">m/z</span> transitions corresponding to potential OTA-derived metabolites. Besides OTA (RT 18.15), the TIC reveals the presence of the two previously identified glycosides, hydroxy-OTA, traces of OP-OTA and a further signal corresponding to one of the mass transitions of OTB-NAC (<span class="html-italic">m/z</span> 529 → 400). (<b>b</b>) LC–MS analysis of a spiking experiment in which rat urine was spiked with a solution of OTB-NAC generated by photosynthesis, demonstrating that the unknown compound (<span class="html-italic">m/z</span> 529 → 400) present in rat urine independent of OTA treatment is not identical to OTB-NAC.</p>
Full article ">Figure 6
<p>LC–MS analysis of potential OTA metabolites formed in in vitro incubations of OTA with S9 mix of rat, rabbit, minipig and human in the presence of <span class="html-italic">N</span>-acetyl-cysteine (<b>a</b>) or GSH (<b>b</b>).</p>
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30 pages, 1380 KiB  
Review
Mycotoxin Biomarkers in Pigs—Current State of Knowledge and Analytics
by Agnieszka Tkaczyk and Piotr Jedziniak
Toxins 2021, 13(8), 586; https://doi.org/10.3390/toxins13080586 - 23 Aug 2021
Cited by 20 | Viewed by 7496
Abstract
Farm animals are frequently exposed to mycotoxins, which have many adverse effects on their health and become a significant food safety issue. Pigs are highly exposed and particularly susceptible to mycotoxins, which can cause many adverse effects. For the above reasons, an appropriate [...] Read more.
Farm animals are frequently exposed to mycotoxins, which have many adverse effects on their health and become a significant food safety issue. Pigs are highly exposed and particularly susceptible to mycotoxins, which can cause many adverse effects. For the above reasons, an appropriate diagnostic tool is needed to monitor pig’ exposure to mycotoxins. The most popular tool is feed analysis, which has some disadvantages, e.g., it does not include individual exposure. In recent years, the determination of biomarkers as a method to assess the exposure to mycotoxins by using concentrations of the parent compounds and/or metabolites in biological matrices is becoming more and more popular. This review provides a comprehensive overview of reported in vivo mycotoxin absorption, distribution, metabolism and excretion (ADME) and toxicokinetic studies on pigs. Biomarkers of exposure for aflatoxins, deoxynivalenol, ochratoxin A, fumonisins, T-2 toxin and zearalenone are described to select the most promising compound for analysis of porcine plasma, urine and faeces. Biomarkers occur in biological matrices at trace levels, so a very sensitive technique—tandem mass spectrometry—is commonly used for multiple biomarkers quantification. However, the sample preparation for multi-mycotoxin methods remains a challenge. Therefore, a summary of different biological samples preparation strategies is included in that paper. Full article
(This article belongs to the Special Issue Reduction and Control of Mycotoxins along Entire Food and Feed Chain)
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Figure 1
<p>Correlation of ingested mycotoxin dose compared to the relevant urinary biomarker(s) excreted in 24 h post-dose for each mycotoxin/biomarker couple from studies in pigs (data from <a href="#toxins-13-00586-t002" class="html-table">Table 2</a>) (<b>a</b>) ZEN/ZEN, (<b>b</b>) ZEN/α-ZEL.</p>
Full article ">Figure 2
<p>Correlation of ingested mycotoxin dose compared to the relevant urinary biomarker(s) for each mycotoxin/biomarker couple from studies in pigs (data from <a href="#toxins-13-00586-t003" class="html-table">Table 3</a>). (<b>a</b>) DON/DON, (<b>b</b>) DON/DOM-1.</p>
Full article ">Figure 3
<p>Correlation of ingested mycotoxin dose compared to the serum DON concentration—data from recent studies in pigs (<a href="#toxins-13-00586-t003" class="html-table">Table 3</a>).</p>
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16 pages, 2193 KiB  
Article
Human-Relevant Sensitivity of iPSC-Derived Human Motor Neurons to BoNT/A1 and B1
by Maren Schenke, Hélène-Christine Prause, Wiebke Bergforth, Adina Przykopanski, Andreas Rummel, Frank Klawonn and Bettina Seeger
Toxins 2021, 13(8), 585; https://doi.org/10.3390/toxins13080585 - 22 Aug 2021
Cited by 5 | Viewed by 4473
Abstract
The application of botulinum neurotoxins (BoNTs) for medical treatments necessitates a potency quantification of these lethal bacterial toxins, resulting in the use of a large number of test animals. Available alternative methods are limited in their relevance, as they are based on rodent [...] Read more.
The application of botulinum neurotoxins (BoNTs) for medical treatments necessitates a potency quantification of these lethal bacterial toxins, resulting in the use of a large number of test animals. Available alternative methods are limited in their relevance, as they are based on rodent cells or neuroblastoma cell lines or applicable for single toxin serotypes only. Here, human motor neurons (MNs), which are the physiological target of BoNTs, were generated from induced pluripotent stem cells (iPSCs) and compared to the neuroblastoma cell line SiMa, which is often used in cell-based assays for BoNT potency determination. In comparison with the mouse bioassay, human MNs exhibit a superior sensitivity to the BoNT serotypes A1 and B1 at levels that are reflective of human sensitivity. SiMa cells were able to detect BoNT/A1, but with much lower sensitivity than human MNs and appear unsuitable to detect any BoNT/B1 activity. The MNs used for these experiments were generated according to three differentiation protocols, which resulted in distinct sensitivity levels. Molecular parameters such as receptor protein concentration and electrical activity of the MNs were analyzed, but are not predictive for BoNT sensitivity. These results show that human MNs from several sources should be considered in BoNT testing and that human MNs are a physiologically relevant model, which could be used to optimize current BoNT potency testing. Full article
(This article belongs to the Section Bacterial Toxins)
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Figure 1
<p>Cleavage of the respective substrates SNAP25 or VAMP2 by BoNT/A1 and B1. (<b>A</b>) Representative Western blots with detection of full-length substrate protein in motor neurons (MNs, n = 3) generated with the protocols based on Du et al. [<a href="#B35-toxins-13-00585" class="html-bibr">35</a>], Kroehne et al. [<a href="#B37-toxins-13-00585" class="html-bibr">37</a>] and Maury et al. [<a href="#B36-toxins-13-00585" class="html-bibr">36</a>], as well as SiMa cells treated with different concentrations of BoNT/A1 and B1 (SiMa cells: n = 3 for BoNT/A1, n = 4 for BoNT/B1). (<b>B</b>) VAMP2 concentration in untreated SiMa cells normalized to the total protein per lane and to the replicate with the lowest intensity. (<b>C</b>) Dose–response curves of normalized substrate concentration for MNs and SiMa cells treated with BoNT/A1 and MNs treated with BoNT/B1 were modelled with nonlinear regression. IC<sub>50</sub> values for the respective curves are indicated with their 77.6% confidence intervals. To obtain the significance level of 5% for hypothesis tests, <math display="inline"><semantics> <mrow> <mi mathvariant="sans-serif">α</mi> <mo>=</mo> <msqrt> <mrow> <mn>0.05</mn> </mrow> </msqrt> <mo>=</mo> <mn>0.224</mn> </mrow> </semantics></math> was chosen and 77.6% CIs considered.</p>
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<p>Sensitivity of MN populations differentiated according to the protocols by Du et al. [<a href="#B35-toxins-13-00585" class="html-bibr">35</a>], Kroehne et al. [<a href="#B37-toxins-13-00585" class="html-bibr">37</a>] and Maury et al. [<a href="#B36-toxins-13-00585" class="html-bibr">36</a>] as well as SiMa cells (all with n = 3) to BoNT/A1 and B1 in IC<sub>50</sub> [pM] (<b>A</b>,<b>C</b>) and mouse LD<sub>50</sub>/mL (<b>B</b>,<b>D</b>). Data provided from the manufacturer were used to estimate mouse LD<sub>50</sub>/mL, with details regarding the batches used given in <a href="#sec4dot6-toxins-13-00585" class="html-sec">Section 4.6</a>. Mean IC<sub>50</sub> values or mouse LD<sub>50</sub>/mL are shown with their respective 77.6% confidence intervals. To obtain the significance level of 5% for hypothesis tests <math display="inline"><semantics> <mrow> <mi mathvariant="sans-serif">α</mi> <mo>=</mo> <msqrt> <mrow> <mn>0.05</mn> </mrow> </msqrt> <mo>=</mo> <mn>0.224</mn> </mrow> </semantics></math> was chosen, and 77.6% CIs considered. Non-overlapping CIs show significantly different IC<sub>50</sub> values indicated by *.</p>
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<p>Expression of synaptic vesicle proteins SV2A/B/C and SYT1/2 in MNs generated according to the protocols by Du et al. [<a href="#B35-toxins-13-00585" class="html-bibr">35</a>], Kroehne et al. [<a href="#B37-toxins-13-00585" class="html-bibr">37</a>] and Maury et al. [<a href="#B36-toxins-13-00585" class="html-bibr">36</a>] as well as SiMa cells were detected via Western blot using isoform-specific antibodies for detection. Each panel depicts the detection with one of the antibodies. A total of 10 µg of lysate pooled from three independent differentiations was analyzed and compared with mouse brain synaptosomes (mSYSOs). For SV2A and SV2B blots, the signal intensity from mSYSOs was far greater than for the other samples, and images with different exposure times were combined (Exposure time of cell lysates: SV2A 1 min, SV2B 10 min and for mSYSOs 2 s and 10 s, respectively).</p>
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<p>Activity of MN populations differentiated according to the protocols by Du et al. [<a href="#B35-toxins-13-00585" class="html-bibr">35</a>], Kroehne et al. [<a href="#B37-toxins-13-00585" class="html-bibr">37</a>] and Maury et al. [<a href="#B36-toxins-13-00585" class="html-bibr">36</a>] on high-density microelectrode arrays (HD-MEAs) after 7, 14 and 21 days on the chips (days in vitro, DIV). Cells from one differentiation each were seeded on six HD-MEAs, respectively. Recorded parameter are the active area and the mean spike amplitude. Data represented as mean ± standard deviation, n = 6.</p>
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<p>Concentration of SNAP25 and VAMP2 after treatment with BoNT/A1. Western Blots of motor neurons (MNs) generated with the protocols based on Du et al. [<a href="#B35-toxins-13-00585" class="html-bibr">35</a>], Kroehne et al. [<a href="#B37-toxins-13-00585" class="html-bibr">37</a>] and Maury et al. [<a href="#B36-toxins-13-00585" class="html-bibr">36</a>] treated with different concentrations of BoNT/A1 with detection of full-length substrate protein (n = 1), normalized to total protein loaded. Each panel represents one differentiation protocol.</p>
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9 pages, 258 KiB  
Communication
Botulinum Toxin Services for Neurorehabiliation: Recommendations for Challenges and Opportunities during the COVID-19 Pandemic
by Ganesh Bavikatte, Jorge Jacinto, Thierry Deltombe and Joerg Wissel
Toxins 2021, 13(8), 584; https://doi.org/10.3390/toxins13080584 - 22 Aug 2021
Cited by 3 | Viewed by 3431
Abstract
The COVID-19 pandemic severely impacted the function of medical facilities and rehabilitation services worldwide, including toxin services delivering Botulinum toxin treatments for neuromuscular conditions such as spasticity, dystonia, and sialorrhea. The aim of this paper is to understand how toxin services have dealt [...] Read more.
The COVID-19 pandemic severely impacted the function of medical facilities and rehabilitation services worldwide, including toxin services delivering Botulinum toxin treatments for neuromuscular conditions such as spasticity, dystonia, and sialorrhea. The aim of this paper is to understand how toxin services have dealt with the situation and what strategies have been adopted to continue services. The recommendations are based on a virtual round table held with toxin services experts from different European countries who shared their experiences and discussed the best practices. The challenges for toxin services were reviewed based on the experts’ experiences and on relevant literature from 2020 and 2021. A set of recommendations and best practices were compiled, focusing firstly on guidance for clinical practice, including assessing patients’ health and risk status and the urgency of their treatment. Secondly, it was discussed how patients on botulinum toxin therapy can be cared for and supported during the pandemic, and how modern technology and tele-medicine platforms can be generally used to optimize effectiveness and safety of toxin treatments. The technological advances prompted by the COVID-19 crisis can result in better and more modern patient care in the future. Full article
(This article belongs to the Section Bacterial Toxins)
15 pages, 2898 KiB  
Article
Metaproteomics Reveals Alteration of the Gut Microbiome in Weaned Piglets Due to the Ingestion of the Mycotoxins Deoxynivalenol and Zearalenone
by Johan S. Saenz, Alina Kurz, Ursula Ruczizka, Moritz Bünger, Maximiliane Dippel, Veronika Nagl, Bertrand Grenier, Andrea Ladinig, Jana Seifert and Evelyne Selberherr
Toxins 2021, 13(8), 583; https://doi.org/10.3390/toxins13080583 - 21 Aug 2021
Cited by 12 | Viewed by 4176
Abstract
The ingestion of mycotoxins can cause adverse health effects and represents a severe health risk to humans and livestock. Even though several acute and chronic effects have been described, the effect on the gut metaproteome is scarcely known. For that reason, we used [...] Read more.
The ingestion of mycotoxins can cause adverse health effects and represents a severe health risk to humans and livestock. Even though several acute and chronic effects have been described, the effect on the gut metaproteome is scarcely known. For that reason, we used metaproteomics to evaluate the effect of the mycotoxins deoxynivalenol (DON) and zearalenone (ZEN) on the gut microbiome of 15 weaned piglets. Animals were fed for 28 days with feed contaminated with different concentrations of DON (DONlow: 870 μg DON/kg feed, DONhigh: 2493 μg DON/kg feed) or ZEN (ZENlow: 679 μg ZEN/kg feed, ZENhigh: 1623 μg ZEN/kg feed). Animals in the control group received uncontaminated feed. The gut metaproteome composition in the high toxin groups shifted compared to the control and low mycotoxin groups, and it was also more similar among high toxin groups. These changes were accompanied by the increase in peptides belonging to Actinobacteria and a decrease in peptides belonging to Firmicutes. Additionally, DONhigh and ZENhigh increased the abundance of proteins associated with the ribosomes and pentose-phosphate pathways, while decreasing glycolysis and other carbohydrate metabolism pathways. Moreover, DONhigh and ZENhigh increased the abundance of the antioxidant enzyme thioredoxin-dependent peroxiredoxin. In summary, the ingestion of DON and ZEN altered the abundance of different proteins associated with microbial metabolism, genetic processing, and oxidative stress response, triggering a disruption in the gut microbiome structure. Full article
(This article belongs to the Special Issue The Mutual Interaction between Mycotoxins and Gut Microbiome)
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<p>Timeline of the animal experiment. After arrival at the Vetmeduni Vienna on day 7, all weaned piglets started an 8-day acclimation phase, in which the feed administered to the control group was fed to all piglets. Mycotoxin exposition started on day 1, and weaned piglets were fed with mycotoxin-contaminated feed according to their groups. Control weaned piglets received control feed without mycotoxins during this period. Weaned piglets feed 1 and weaned piglets feed 2 were used as base diets for all groups. Body weight (BW) was measured weekly.</p>
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<p>The gut metaproteomic composition is altered by DONhigh and ZENhigh. (<b>A</b>) Unsupervised dimensionality reduction analysis for the digesta samples (Perplexity = 10, maximum iteration = 1200). Clustering by treatment (<span class="html-italic">p</span> = 0.001, PERMANOVA permutations = 999) and intestinal section (<span class="html-italic">p</span> = 0.076, permutations = 999). (<b>B</b>) Bray–Curtis dissimilarity (Control vs. Treatment) of peptides identified at the family level. * <span class="html-italic">p</span> &lt; 0.05 Kruskal–Wallis and Wilcoxon rank sum test, <span class="html-italic">p</span> values were corrected by Benjamini–Hochberg for multiple comparisons.</p>
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<p>DONhigh and ZENhigh increased the relative abundance of Actinobacteria and decreased the abundance of Firmicutes. (<b>A</b>) Relative abundances of the most abundant bacterial families across all treatments. * Significant difference between the treatment and control group. 95% confidence interval. (<b>B</b>) Ratio between the relative abundance of the phyla Actinobacteria and Firmicutes. <span class="html-italic">p</span> &lt; * 0.05, ** 0.005, Kruskall-Wallis and Wilcoxon rank sum test, <span class="html-italic">p</span> values were corrected by Benjamini-Hochberg for multiple comparisons.</p>
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<p>Bacterial protein profiles were more similar between DONhigh and ZENhigh. (<b>A</b>) Clustering of the 190 significantly different proteins group across the treatments. <span class="html-italic">p</span> &lt; 0.05, Log2 fold change &gt; 2, and &gt;1 peptides identified. (<b>B</b>) The number of proteins identified by COG categories for each cluster of protein groups. (J) Translation, ribosomal structure and biogenesis, (G) carbohydrate transport and metabolism, (M) cell wall/membrane/envelope biogenesis, (S) function unknown, (E) amino acid transport and metabolism, (C) energy production and conversion, (F) nucleotide transport and metabolism, (H) coenzyme transport and metabolism, (O) post-translational modification, protein turnover, and chaperones, (K) transcription, (D) cell cycle control, cell division, chromosome partitioning, (P) inorganic ion transport and metabolism, (L) replication, recombination and repair, (I) lipid transport and metabolism.</p>
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<p>DONhigh significantly increased the abundance of bacterial proteins associated with genetic processing. Log2 fold change between each treatment and the control group. Only significantly different proteins are shown. * Differentially abundant proteins between DONhigh and control group (<span class="html-italic">p</span> &lt; 0.05).</p>
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<p>Mycotoxins reduced the abundance of key enzymes of the upper glycolysis and increased proteins of the pentose phosphate pathway. Colored rectangles represent the Log2 fold change between the treatments and the control group for each identified enzyme. KEGG orthologs (KO) identifiers are shown over each square.</p>
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21 pages, 25493 KiB  
Article
Biological and Biochemical Characterization of Coronado Island Rattlesnake (Crotalus helleri caliginis) Venom and Antivenom Neutralization
by Cristian Franco-Servín, Edgar Neri-Castro, Melisa Bénard-Valle, Alejandro Alagón, Ramsés Alejandro Rosales-García, Raquel Guerrero-Alba, José Emanuel Poblano-Sánchez, Marcelo Silva-Briano, Alma Lilián Guerrero-Barrera and José Jesús Sigala-Rodríguez
Toxins 2021, 13(8), 582; https://doi.org/10.3390/toxins13080582 - 21 Aug 2021
Cited by 5 | Viewed by 4771
Abstract
The Baja California Peninsula has over 250 islands and islets with many endemic species. Among them, rattlesnakes are the most numerous but also one of the least studied groups. The study of island rattlesnake venom could guide us to a better understanding of [...] Read more.
The Baja California Peninsula has over 250 islands and islets with many endemic species. Among them, rattlesnakes are the most numerous but also one of the least studied groups. The study of island rattlesnake venom could guide us to a better understanding of evolutionary processes and the description of novel toxins. Crotalus helleri caliginis venom samples were analyzed to determine possible ontogenetic variation with SDS-PAGE in one and two dimensions and with RP-HPLC. Western Blot, ELISA, and amino-terminal sequencing were used to determine the main components of the venom. The biological and biochemical activities demonstrate the similarity of C. helleri caliginis venom to the continental species C. helleri helleri, with both having low proteolytic and phospholipase A2 (PLA2) activity but differing due to the absence of neurotoxin (crotoxin-like) in the insular species. The main components of the snake venom were metalloproteases, serine proteases, and crotamine, which was the most abundant toxin group (30–35% of full venom). The crotamine was isolated using size-exclusion chromatography where its functional effects were tested on mouse phrenic nerve–hemidiaphragm preparations in which a significant reduction in muscle twitch contractions were observed. The two Mexican antivenoms could neutralize the lethality of C. helleri caliginis venom but not the crotamine effects. Full article
(This article belongs to the Section Animal Venoms)
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<p>South Coronado Island, Baja California, Mexico (<b>A</b>). Juvenile <span class="html-italic">C. helleri caliginis</span> (<b>B</b>).</p>
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<p>One-dimensional 15% SDS-PAGE of the neonate (blue numbers at the top), juvenile (purple), and adult (black) <span class="html-italic">Crotalus helleri caliginis</span> venoms under reducing conditions (<b>A</b>); 20 µg of venom were loaded per lane. Two-dimensional 15% SDS-PAGE of pooled venom under reducing conditions (<b>B</b>); a total of 150 µg was loaded.</p>
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<p>RP-HPLC profile of <span class="html-italic">C. helleri caliginis</span> venom on a C<sub>18</sub> column. Neonate venom (<b>A</b>), juvenile (<b>B</b>), adult (<b>C</b>), and pooled venom (<b>D</b>) profiles. Pooled venom fractions on 15% SDS-PAGE under reducing conditions (<b>E</b>). Milli-absorbance units at 214 nm, A (214 nm). A total of 2 µg was loaded from each fraction.</p>
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<p>Western blot of the crude venom of <span class="html-italic">C. helleri caliginis</span> on two-dimensional SDS-PAGE using antibodies against the three main venom protein components: SVMP (<b>A</b>), SVSP (<b>B</b>), and crotamine (<b>C</b>). The SDS-PAGE (<b>D</b>) was 15% polyacrylamide and in the 3–10 isoelectric point (pI) range, 50 µg of venom were loaded for the Western blot and 150 µg for the two-dimensional SDS-PAGE.</p>
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<p>Size-exclusion chromatography profile of the crude venom of <span class="html-italic">C. helleri caliginis</span> (<b>A</b>), 15% SDS-PAGE under reducing (<b>B</b>) and non-reducing conditions (<b>C</b>). RP-HPLC profile of <span class="html-italic">C. helleri caliginis</span> SEC fractions 1 to 4 (<b>D</b>–<b>G</b>, respectively). A total of 20 µg of <span class="html-italic">C. helleri caliginis</span> venom and 5 µg of every fraction was loaded. A total of 50 mg of <span class="html-italic">C. helleri caliginis</span> venom was loaded in the Sephadex columns.</p>
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<p>Neuromuscular effect of <span class="html-italic">C. helleri caliginis</span> crude venom and crotamine (Fr3) on indirectly evoked muscle twitches. The final crude venom concentration was 5 μg/mL and 2 μg/mL for crotamine. <span class="html-italic">Crotalus tzabcan</span> venom without crotamine was used as a positive control and Tyrode solution as a negative control. Points represent the mean ± SD of three replicates. The data were normalized using 100% the average force (g) of directly evoked twitches 5 min before venom or toxin addition.</p>
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<p>Zymogram of <span class="html-italic">Crotalus helleri caliginis venom</span> compared to that of <span class="html-italic">C. catalinensis</span>, <span class="html-italic">C. pyrrhus muertensis</span>, <span class="html-italic">C. helleri helleri</span>, <span class="html-italic">C. viridis</span>, <span class="html-italic">C. cerberus</span>, and <span class="html-italic">C. lutosus</span>. <span class="html-italic">Bothrops asper</span> venom was used as a control of proteolytic activity. Crude venoms (<b>A</b>) and venoms treated with EDTA 5 mM (<b>B</b>). A 12% native PAGE copolymerized with gelatin; 5 µg of venoms were loaded per lane.</p>
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13 pages, 1325 KiB  
Article
Cytotoxicity of Mycotoxins Frequently Present in Aquafeeds to the Fish Cell Line RTGill-W1
by Elena Bernal-Algaba, Marta Pulgarín-Alfaro and María Luisa Fernández-Cruz
Toxins 2021, 13(8), 581; https://doi.org/10.3390/toxins13080581 - 20 Aug 2021
Cited by 13 | Viewed by 3785
Abstract
In the last decades, the aquaculture industry has introduced plant-based ingredients as a source of protein in aquafeeds. This has led to mycotoxin contaminations, representing an ecological, health and economic problem. The aim of this study was to determine in the RTgill-W1 fish [...] Read more.
In the last decades, the aquaculture industry has introduced plant-based ingredients as a source of protein in aquafeeds. This has led to mycotoxin contaminations, representing an ecological, health and economic problem. The aim of this study was to determine in the RTgill-W1 fish cell line the toxicity of fifteen mycotoxins of common occurrence in aquafeeds. To identify the most sensitive endpoint of toxicity, the triple assay was used. It consisted of three assays: alamarBlue, Neutral Red Uptake and CFDA-AM, which revealed the mitochondrial activity, the lysosomal integrity and the plasma membrane integrity, respectively. Most of the assayed mycotoxins were toxic predominantly at lysosomal level (enniatins, beauvericin, zearalenone, ochratoxin A, deoxynivalenol (DON) and its acetylated metabolites 15-O-acetyl-DON and 3-acetyl-DON). Aflatoxins B1 and B2 exerted the greatest effects at mitochondrial level, while fumonisins B1 and B2 and nivalenol were not toxic up to 100 µg/mL. In general, low toxicity was observed at plasma membrane level. The vast majority of the mycotoxins assayed exerted a pronounced acute effect in the fish RTgill-W1 cell line, emphasizing the need for further studies to ascertain the impact of mycotoxin contamination of fish feeds in the aquaculture industry and to establish safe limits in aquafeeds. Full article
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<p>Percentage of cell viability with respect to the control group after 24 h of exposure of RTgill-W1 to enniatins or aflatoxins, expressed as mean ± SEM, <span class="html-italic">n</span> = 3. Significant differences with respect to the lowest concentration treated group: * (<span class="html-italic">p</span> &lt; 0.05), ** (<span class="html-italic">p</span> &lt; 0.01) and *** (<span class="html-italic">p</span> &lt; 0.001); RMANOVA followed by Dunnett’s post-hoc test.</p>
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<p>Percentage of cell viability with respect to the control group after 24 h of exposure of RTgill-W1 to DON, DON metabolites and fumonisins, expressed as mean ± SEM, <span class="html-italic">n</span> = 3. Significant differences with respect to the lowest concentration treated group: * (<span class="html-italic">p</span> &lt; 0.05), ** (<span class="html-italic">p</span> &lt; 0.01) and *** (<span class="html-italic">p</span> &lt; 0.001); RMANOVA followed by Dunnett’s post-hoc test.</p>
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<p>Percentage of cell viability with respect to the control group after 24 h of exposure of RTgill-W1 to ZEA, NIV, OTA and BEA, expressed as mean ± SEM, <span class="html-italic">n</span> = 3. Significant differences with respect to the lowest concentration treated group: * (<span class="html-italic">p</span> &lt; 0.05), ** (<span class="html-italic">p</span> &lt; 0.01) and *** (<span class="html-italic">p</span> &lt; 0.001); RMANOVA followed by Dunnett’s post-hoc test.</p>
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12 pages, 1415 KiB  
Article
An Update on Ciguatoxins and CTX-like Toxicity in Fish from Different Trophic Levels of the Selvagens Islands (NE Atlantic, Madeira, Portugal)
by Pedro Reis Costa, Pablo Estévez, Lucía Soliño, David Castro, Susana Margarida Rodrigues, Viriato Timoteo, José Manuel Leao-Martins, Carolina Santos, Neide Gouveia, Jorge Diogène and Ana Gago-Martínez
Toxins 2021, 13(8), 580; https://doi.org/10.3390/toxins13080580 - 20 Aug 2021
Cited by 27 | Viewed by 4255
Abstract
The Selvagens Islands, which are a marine protected area located at the southernmost point of the Portuguese maritime zone, have been associated with fish harboring ciguatoxins (CTX) and linked to ciguatera fish poisonings. This study reports the results of a field sampling campaign [...] Read more.
The Selvagens Islands, which are a marine protected area located at the southernmost point of the Portuguese maritime zone, have been associated with fish harboring ciguatoxins (CTX) and linked to ciguatera fish poisonings. This study reports the results of a field sampling campaign carried out in September 2018 in these remote and rarely surveyed islands. Fifty-six fish specimens from different trophic levels were caught for CTX-like toxicity determination by cell-based assay (CBA) and toxin content analysis by liquid chromatography with tandem mass spectrometry (LC-MS/MS). Notably, high toxicity levels were found in fish with an intermediate position in the food web, such as zebra seabream (Diplodus cervinus) and barred hogfish (Bodianus scrofa), reaching levels up to 0.75 µg CTX1B equivalent kg−1. The LC-MS/MS analysis confirmed that C-CTX1 was the main toxin, but discrepancies between CBA and LC-MS/MS in D. cervinus and top predator species, such as the yellowmouth barracuda (Sphyraena viridis) and amberjacks (Seriola spp.), suggest the presence of fish metabolic products, which need to be further elucidated. This study confirms that fish from coastal food webs of the Selvagens Islands represent a high risk of ciguatera, raising important issues for fisheries and environmental management of the Selvagens Islands. Full article
(This article belongs to the Special Issue Ciguatoxins)
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<p>Location of the Selvagens Islands, NE Atlantic, Madeira, Portugal.</p>
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<p>CTX-like toxicity (µg CTX1B equivalent kg<sup>−1</sup>) determined by CBA in fish species collected from the marine food web of the Selvagens Islands during 5–7 September 2018 (median, 25 and 75 quartiles, minimum and maximum, total <span class="html-italic">n</span> = 55). See Materials and Methods section for details on samples.</p>
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<p>LC-MS/MS chromatogram in MRM mode of: (<b>A</b>) Laboratory reference material containing C-CTX1 (8.79 min) and C-CTX1-Me (10.84 min), (A.1) Zoom of C-CTX1 less intense ion transitions: <span class="html-italic">m/z</span> 1123.6 [M+H-H<sub>2</sub>O]<sup>+</sup> -&gt; <span class="html-italic">m/z</span> 1069.6 [M+H-3H<sub>2</sub>O]<sup>+</sup> (purple line), <span class="html-italic">m/z</span> 1123.6 [M+H-H<sub>2</sub>O]<sup>+</sup> -&gt; <span class="html-italic">m/z</span> 191.1 (blue line), <span class="html-italic">m/z</span> 1123.6 [M+H-H<sub>2</sub>O]<sup>+</sup> -&gt; <span class="html-italic">m/z</span> 108.9 (green line), (A.2) Zoom of C-CTX1-Me less intense ion transitions: <span class="html-italic">m/z</span> 1123.6 [M+H-CH<sub>3</sub>-H<sub>2</sub>O]<sup>+</sup> -&gt; <span class="html-italic">m/z</span> 1069.6 [M+H-CH<sub>3</sub>-3H<sub>2</sub>O]<sup>+</sup> (purple line), <span class="html-italic">m/z</span> 1123.6 [M+H-CH<sub>3</sub>-H<sub>2</sub>O]<sup>+</sup> -&gt; <span class="html-italic">m/z</span> 191.1 (blue line), <span class="html-italic">m/z</span> 1123.6 [M+H-CH<sub>3</sub>-H<sub>2</sub>O]<sup>+</sup> -&gt; <span class="html-italic">m/z</span> 108.9 (green line); (<b>B</b>) C-CTX1 (8.79 min) and an unknown compound (4.94 min) detected in a <span class="html-italic">Bodianus scrofa</span>; (<b>C</b>) C-CTX-1157 (7.64 min) detected in the <span class="html-italic">Diplodus cervinus</span>.</p>
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16 pages, 3346 KiB  
Article
Origin and Characterization of Extracellular Vesicles Present in the Spider Venom of Ornithoctonus hainana
by Chengfeng Xun, Lu Wang, Hailin Yang, Zixuan Xiao, Min Deng, Rongfang Xu, Xi Zhou, Ping Chen and Zhonghua Liu
Toxins 2021, 13(8), 579; https://doi.org/10.3390/toxins13080579 - 20 Aug 2021
Cited by 6 | Viewed by 4702
Abstract
Extracellular vesicles (EVs), including exosomes and microvesicles, are membranous vesicles released from nearly all cellular types. They contain various bioactive molecules, and their molecular composition varies depending on their cellular origin. As research into venomous animals has progressed, EVs have been discovered in [...] Read more.
Extracellular vesicles (EVs), including exosomes and microvesicles, are membranous vesicles released from nearly all cellular types. They contain various bioactive molecules, and their molecular composition varies depending on their cellular origin. As research into venomous animals has progressed, EVs have been discovered in the venom of snakes and parasitic wasps. Although vesicle secretion in spider venom glands has been observed, these secretory vesicles’ origin and biological properties are unknown. In this study, the origin of the EVs from Ornithoctonus hainana venom was observed using transmission electron microscopy (TEM). The Ornithoctonus hainana venom extracellular vesicles (HN-EVs) were isolated and purified by density gradient centrifugation. HN-EVs possess classic membranous vesicles with a size distribution ranging from 50 to 150 nm and express the arthropod EV marker Tsp29Fb. The LC-MS/MS analysis identified a total of 150 proteins, which were divided into three groups according to their potential function: conservative vesicle transport-related proteins, virulence-related proteins, and other proteins of unknown function. Functionally, HN-EVs have hyaluronidase activity and inhibit the proliferation of human umbilical vein endothelial cells (HUVECs) by affecting the cytoskeleton and cell cycle. Overall, this study investigates the biological characteristics of HN-EVs for the first time and sheds new light on the envenomation process of spider venom. Full article
(This article belongs to the Section Animal Venoms)
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<p>Ultrastructure of glandular epithelium cells from <span class="html-italic">Ornithoctonus hainana</span> venom gland. The adult <span class="html-italic">Ornithoctonus hainana</span> is about 15 cm long (leg diameter), with a 2 cm venom gland. Transmission electron microscopy was used to observe a cross-sectional view of the gland and the secretion of EVs by glandular epithelium cells. Secretory epithelium (Se), lumen (Lu), extracellular vesicles (EVs), multi-vesicular bodies (MVBs). Scale bar: 100 nm.</p>
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<p>Isolation and characterization of secreted EVs from the venom of <span class="html-italic">Ornithoctonus hainana.</span> (<b>A</b>) Schematic of the HN-EVs isolation protocol from spider venom. Asterisk mark near the middle of the centrifuge tube with a Nycodenz gradient indicates level of the light-scattering band. (<b>B</b>) TEM analysis showed that the purified HN-EVs have a classic exosomal cup-shaped and lipid bilayer membrane morphology. Scale bar: 100 nm. (<b>C</b>) Statistical analysis of the particle size distribution of HN-EVs in TEM images shows that the particle size of HN-EVs is mainly distributed between 50 and 150 nm (61.7%) (<span class="html-italic">n</span> = 102). (<b>D</b>) Western blotting detected the expression of arthropod EV marker Tsp29Fb in HN-EVs. <span class="html-italic">Ornithoctonus hainana</span> venom extracellular vesicles (HN-EVs), venom centrifugal supernatant (HN-Sup).</p>
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<p>Analysis and identification of HN-EV proteins. (<b>A</b>) SDS-PAGE analysis of HN-EVs, venom, and HN-Sup. (<b>B</b>) Tricine-PAGE analysis of HN-EVs, venom, and HN-Sup. (<b>C</b>) Evaluation of molecular weight distribution of 150 proteins identified by LC-MS/MS. (<b>D</b>) The cellular component analysis showed that HN-EV proteins were found mainly in the cytoplasm, extracellular, nucleus, and mitochondria.</p>
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<p>Functional classification of HN-EV proteins. After a database search, 150 proteins were identified with high confidence. Select HN-EV proteins, many of which are expected to be vesicular transport-associated and virulence-associated proteins, are displayed by their proteomic classes (1–3; bulleted within descriptive subclasses).</p>
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<p>Hyaluronidase activity of HN-EVs. Hyaluronic acid (HA) was incubated with HN-EVs, HN-Sup, venom, and hyaluronidase at 40 °C overnight and separated on a 1% agarose gel at 50 mA for 3 h. Degradation was revealed by sequential toluidine blue and Stains-All staining.</p>
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<p>HN-EVs inhibit the viability of HUVECs. (<b>A</b>) Fluorescence microscopy analysis of PKH67-labeled HN-EV internalization by HUVECs. The green-labeled EVs were visible in the perinuclear region of recipient cells, scale bar: 50 μm. (<b>B</b>) HUVECs were treated with several concentrations of HN-EVs, HN-Sup, and whole venom, and cell viability was assessed by MTT assay. The half-inhibitory concentration (IC50) was determined to be 575 μg/mL (HN-EVs) and 100 μg/mL (whole venom). Results are shown as mean ± SD (<span class="html-italic">n</span> = 3). (<b>C</b>,<b>D</b>) Crystal violet staining was used to determine cell viability and count the number of cells in each treatment group. Results are shown as mean ± SD (<span class="html-italic">n</span> = 3). *** <span class="html-italic">p</span> &lt; 0.001.</p>
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<p>The influence of HN-EVs on the cell morphology and cell cycle of HUVECs. (<b>A</b>) Fluorescein-phalloidin staining was used to observe cell morphology and changes in actin filament organization (green) and nucleus (blue) of HUVECs. Scale bar: 50 μm. (<b>B</b>,<b>C</b>) The cell cycle distribution was detected using flow cytometric analysis and was quantified. Results are shown as mean ± SD (<span class="html-italic">n</span> = 3). No significance (ns). * <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; 0.001.</p>
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11 pages, 1428 KiB  
Article
Inhibition of Diarrheal Shellfish Toxins Accumulation in the Mussel Perna viridis by Curcumin and Underlying Mechanisms
by Kuan-Kuan Yuan, Guo-Fang Duan, Qing-Yuan Liu, Hong-Ye Li and Wei-Dong Yang
Toxins 2021, 13(8), 578; https://doi.org/10.3390/toxins13080578 - 20 Aug 2021
Cited by 7 | Viewed by 2914
Abstract
Diarrheal shellfish toxins (DSTs) are among the most widely distributed phytotoxins, and are associated with diarrheal shellfish poisoning (DSP) events in human beings all over the world. Therefore, it is urgent and necessary to identify an effective method for toxin removal in bivalves. [...] Read more.
Diarrheal shellfish toxins (DSTs) are among the most widely distributed phytotoxins, and are associated with diarrheal shellfish poisoning (DSP) events in human beings all over the world. Therefore, it is urgent and necessary to identify an effective method for toxin removal in bivalves. In this paper, we found that curcumin (CUR), a phytopolylphenol pigment, can inhibit the accumulation of DSTs (okadaic acid-eq) in the digestive gland of Perna viridis after Prorocentrum lima exposure. qPCR results demonstrated that CUR inhibited the induction of DSTs on the aryl hydrocarbon receptor (AhR), hormone receptor 96 (HR96) and CYP3A4 mRNA, indicating that the CUR-induced reduction in DSTs may be correlated with the inhibition of transcriptional induction of AhR, HR96 and CYP3A4. The histological examination showed that P. lima cells caused severe damage to the digestive gland of P. viridis, and the addition of curcumin effectively alleviated the damage induced by P. lima. In conclusion, our findings provide a potential method for the effective removal of toxins from DST-contaminated shellfish. Full article
(This article belongs to the Section Marine and Freshwater Toxins)
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Figure 1
<p>DST content in the digestive gland of the <span class="html-italic">P. lima</span>-exposed mussels with or without curcumin. Significant differences compared to control (with 0 μmol L<sup>−1</sup> CUR) are represented by asterisks (<span class="html-italic">t</span>-test, * <span class="html-italic">p</span> &lt; 0.05). Data are presented as mean ± SD (<span class="html-italic">n</span> = 3).</p>
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<p>DST content in the digestive gland and gills of the <span class="html-italic">P. lima</span>-exposed mussels and in culture medium at different times after the addition of CUR (20 μmol L<sup>−1</sup>). Control, <span class="html-italic">T. subcordiformis</span> (1 × 10<sup>7</sup> cells/L); CUR, <span class="html-italic">T.</span> <span class="html-italic">subcordiformis</span> (1 × 10<sup>7</sup> cells/L) <span class="html-italic">+</span> CUR (20 μmol L<sup>−1</sup>); <span class="html-italic">P. lima</span>, <span class="html-italic">T. subcordiformis</span> (1 × 10<sup>7</sup> cells/L) + <span class="html-italic">P. lima</span> (2 × 10<sup>6</sup> cells/L); <span class="html-italic">P. lima +</span> CUR, <span class="html-italic">T. subcordiformis</span> (1 × 10<sup>7</sup> cells/L) + <span class="html-italic">P. lima</span> (2 × 10<sup>6</sup> cells/L) <span class="html-italic">+</span> CUR (20 μmol L<sup>−1</sup>). Data are presented as mean ± SD (<span class="html-italic">n</span> = 3). Bars of the respective treatments followed by the same letters indicates that the difference is not significant at <span class="html-italic">p</span> &lt; 0.05 (Fisher′s protected multiple comparisons LSD test).</p>
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<p>Histological sections of digestive glands of <span class="html-italic">Perna viridis</span> at 12 h and 48 h (HE staining, ×400). (<b>A</b>) Control, <span class="html-italic">T. subcordiformis</span> (1 × 10<sup>7</sup> cells/L); (<b>B</b>) CUR, <span class="html-italic">T. subcordiformis</span> (1 × 10<sup>7</sup> cells/L) + CUR (20 μmol L<sup>−1</sup>); (<b>C</b>) <span class="html-italic">P. lima</span>, <span class="html-italic">T. subcordiformis</span> (1 × 10<sup>7</sup> cells/L) + <span class="html-italic">P. lima</span> (2 × 10<sup>6</sup> cells/L); (<b>D</b>) <span class="html-italic">P. lima</span> + CUR, <span class="html-italic">T. subcordiformis</span> (1 × 10<sup>7</sup> cells/L) + <span class="html-italic">P. lima</span> (2 × 10<sup>6</sup> cells/L) + CUR (20 μmol L<sup>−1</sup>); dt, alimentary canal; ct, connective tissue. Marker 1, severe atrophy of epithelial cells; Marker 2, disintegration of epithelial cells, destruction of digestive ducts, and malformation of digestive gland diverticulum.</p>
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<p>Expression levels of genes associated with the metabolism of xenobiotic compounds in the digestive gland of the <span class="html-italic">P. lima</span>-exposed mussels as shown by qPCR. Control, <span class="html-italic">T. subcordiformis</span> (1 × 10<sup>7</sup> cells/L); <span class="html-italic">P. lima</span>, <span class="html-italic">T. subcordiformis</span> (1 × 10<sup>7</sup> cells/L) + <span class="html-italic">P. lima</span> (2 × 10<sup>6</sup> cells/L); CUR, <span class="html-italic">T.</span> <span class="html-italic">subcordiformis</span> (1 × 10<sup>7</sup> cells/L) + CUR (20 μmol L<sup>−1</sup>); <span class="html-italic">P. lima +</span> CUR, <span class="html-italic">T. subcordiformis</span> (1 × 10<sup>7</sup> cells/L) + <span class="html-italic">P. lima</span> (2 × 10<sup>6</sup> cells/L) <span class="html-italic">+</span> CUR (20 μmol L<sup>−1</sup>). Data presented as mean ± SD (<span class="html-italic">n</span> = 3). Bars of the respective treatments followed by the same letters indicates that the difference is not significant at <span class="html-italic">p</span> &lt; 0.05 (Fisher′s protected multiple comparisons LSD test).</p>
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19 pages, 2985 KiB  
Article
Interactions between Filter-Feeding Bivalves and Toxic Diatoms: Influence on the Feeding Behavior of Crassostrea gigas and Pecten maximus and on Toxin Production by Pseudo-nitzschia
by Aurore Sauvey, Françoise Denis, Hélène Hégaret, Bertrand Le Roy, Christophe Lelong, Orianne Jolly, Marie Pavie and Juliette Fauchot
Toxins 2021, 13(8), 577; https://doi.org/10.3390/toxins13080577 - 19 Aug 2021
Cited by 6 | Viewed by 3713
Abstract
Among Pseudo-nitzschia species, some produce the neurotoxin domoic acid (DA), a source of serious health problems for marine organisms. Filter-feeding organisms—e.g., bivalves feeding on toxigenic Pseudo-nitzschia spp.—are the main vector of DA in humans. However, little is known about the interactions between bivalves [...] Read more.
Among Pseudo-nitzschia species, some produce the neurotoxin domoic acid (DA), a source of serious health problems for marine organisms. Filter-feeding organisms—e.g., bivalves feeding on toxigenic Pseudo-nitzschia spp.—are the main vector of DA in humans. However, little is known about the interactions between bivalves and Pseudo-nitzschia. In this study, we examined the interactions between two juvenile bivalve species—oyster (Crassostrea gigas) and scallop (Pecten maximus)—and two toxic Pseudo-nitzschia species—P. australis and P. fraudulenta. We characterized the influence of (1) diet composition and the Pseudo-nitzschia DA content on the feeding rates of oysters and scallops, and (2) the presence of bivalves on Pseudo-nitzschia toxin production. Both bivalve species fed on P. australis and P. fraudulenta. However, they preferentially filtered the non-toxic Isochrysis galbana compared to Pseudo-nitzschia. The presence of the most toxic P. australis species resulted in a decreased clearance rate in C. gigas. The two bivalve species accumulated DA in their tissues (up to 0.35 × 10−3 and 5.1 × 10−3 µg g−1 for C. gigas and P. maximus, respectively). Most importantly, the presence of bivalves induced an increase in the cellular DA contents of both Pseudo-nitzschia species (up to 58-fold in P. fraudulenta in the presence of C. gigas). This is the first evidence of DA production by Pseudo-nitzschia species stimulated in the presence of filter-feeding bivalves. The results of this study highlight complex interactions that can influence toxin production by Pseudo-nitzschia and accumulation in bivalves. These results will help to better understand the biotic factors that drive DA production by Pseudo-nitzschia and bivalve contamination during Pseudo-nitzschia blooms. Full article
(This article belongs to the Special Issue Phycotoxins: From Producers to Transfer in the Food Chain)
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<p>Cell concentrations (<b>A</b>,<b>E</b>), clearance rates (CRs: <b>B</b>,<b>F</b>), and filtration rates (FRs: <b>C</b>,<b>D</b>,<b>G</b>,<b>H</b>) over the 5 days of exposure of <span class="html-italic">C. gigas</span> to <span class="html-italic">P. fraudulenta</span> and <span class="html-italic">I. galbana</span>—condition 1 (<b>A</b>–<b>D</b>)—or <span class="html-italic">P. australis</span> and <span class="html-italic">I. galbana</span>—condition 2 (<b>E</b>–<b>H</b>).</p>
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<p>Cell concentrations (<b>A</b>), clearance rates (CRs: <b>B</b>,<b>C</b>), and filtration rates (FRs: <b>B</b>,<b>C</b>) over the 5 days of exposure of <span class="html-italic">C. gigas</span> to <span class="html-italic">P. fraudulenta</span>—condition 3 (<b>A</b>,<b>B</b>)—or <span class="html-italic">P. australis</span>—condition 4 (<b>A</b>,<b>C</b>).</p>
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<p>Cell concentrations (<b>A</b>,<b>E</b>), clearance rates (CRs: <b>B</b>,<b>F</b>), and filtration rates (FRs: <b>C</b>,<b>D</b>,<b>G</b>,<b>H</b>) throughout the 6 h of exposure of <span class="html-italic">P. maximus</span> to <span class="html-italic">P. fraudulenta</span> and <span class="html-italic">I. galbana</span>—condition 1 (<b>A</b>–<b>D</b>)—or <span class="html-italic">P. australis</span> and <span class="html-italic">I. galbana</span>—condition 2 (<b>E</b>–<b>H</b>).</p>
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<p>DA concentrations in <span class="html-italic">C. gigas</span> (<b>A</b>) and <span class="html-italic">P. maximus</span> (<b>B</b>) at the end of the exposure experiments. An asterisk (*) indicates a significant difference at <span class="html-italic">p</span> &lt; 0.05.</p>
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<p>cDA concentrations (fg cell<sup>−1</sup>) in <span class="html-italic">P. fraudulenta</span> (<b>A</b>,<b>C</b>) and <span class="html-italic">P. australis</span> (<b>B</b>,<b>D</b>) at the end of the experiments with <span class="html-italic">C. gigas</span> (<b>A</b>,<b>C</b>) and <span class="html-italic">P. maximus</span> (<b>B</b>,<b>D</b>). The asterisks indicate significant difference at <span class="html-italic">p</span> &lt; 0.05 (*), <span class="html-italic">p</span> &lt; 0.01 (**) and <span class="html-italic">p</span> &lt; 0.001 (***).</p>
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<p>Linear regression for all data between <span class="html-italic">P. australis</span> cDA concentrations (fg cell<sup>−1</sup>) and the average clearance rates (CR, mL h<sup>−1</sup> ind<sup>−1</sup>, <b>A</b>) or the average filtration rates (FR, cells mL<sup>−1</sup> ind<sup>−1</sup>, <b>B</b>) of <span class="html-italic">C. gigas</span> throughout the 5 days of the experiment.</p>
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<p>DA concentrations in <span class="html-italic">C. gigas</span> (10<sup>−6</sup> µg DA g<sup>−1</sup>) as a function of cDA concentrations in <span class="html-italic">P. australis</span> or <span class="html-italic">P. fraudulenta</span> (fg cell<sup>−1</sup>). The linear regression only applies to <span class="html-italic">P. australis</span>. Crossed circles: <span class="html-italic">C. gigas</span> exposed to mixed cultures of <span class="html-italic">I. galbana</span> and <span class="html-italic">P. australis</span> or <span class="html-italic">P. fraudulenta</span>.</p>
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10 pages, 1271 KiB  
Article
Changes of DNA Damage Effect of T-2 or Deoxynivalenol Toxins during Three Weeks Exposure in Common Carp (Cyprinus carpio L.) Revealed by LORD-Q PCR
by Rubina Tünde Szabó, Mária Kovács-Weber, Krisztián Milán Balogh, Miklós Mézes and Balázs Kovács
Toxins 2021, 13(8), 576; https://doi.org/10.3390/toxins13080576 - 19 Aug 2021
Cited by 4 | Viewed by 2476
Abstract
The present study aimed to adapt a Long-run Real-time DNA Damage Quantification (LORD-Q) qPCR-based method for the analysis of the mitochondrial genome of Common carp (Cyprinus carpio L.) and detect the DNA damaging effect of T-2 (4.11 mg kg−1) and [...] Read more.
The present study aimed to adapt a Long-run Real-time DNA Damage Quantification (LORD-Q) qPCR-based method for the analysis of the mitochondrial genome of Common carp (Cyprinus carpio L.) and detect the DNA damaging effect of T-2 (4.11 mg kg−1) and deoxynivalenol (5.96 mg kg−1) mycotoxins in a 3-week feeding period. One-year-old Common carp were treated in groups (control, T-2 and DON). The mycotoxins were sprayed over the complete pelleted feed, and samples were taken weekly. Following the adaptation of LORD-Q PCR method for the Common carp species, the number of lesions were calculated to determine the amount of DNA damage. In the first and second weeks, the T-2 and the DON treated groups differed significantly from each other; however these differences disappeared in the third week. There was a significant difference in the DNA lesion values between weeks 1 and 3 in the deoxynivalenol-contaminated groups. While in the T-2 treated groups, the DNA lesion values were significantly reduced on weeks 2 and 3 compared to week 1. The results suggested that the trichothecene mycotoxins have a relevant DNA damaging effect. Full article
(This article belongs to the Section Mycotoxins)
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<p>Specificity of the short (<b>a</b>) and long (<b>b</b>) fragments by agarose gel electrophoresis. Agarose gel (1.5%) electrophoresis of real-time PCR products with ethidium bromide staining; template DNS is 10 ng of template. (<b>a</b>) aAmplified products of the short fragment, the expected product size was 150 bp. Loading well 1–2 from T-2, loading well 3–4 from DON treated group (week 3). Loading well 5 is the negative control sample, loading well 6 is the size marker (GeneRuler<sup>TM</sup> 100 bp DNA ladder). (<b>b</b>) Amplified products of the long fragment, the expected product size was 3400 bp. Loading well 1 is the size marker (GeneRuler <sup>TM</sup> 100 bp DNA ladder). Loading well 2–3 is from T-2, loading well 4–5 is from the DON treated group. Loading well 6 is the negative control sample.</p>
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<p>Amplification plot and melt curve of the short (<b>a</b>) and long (<b>b</b>) fragments by StepOne™/StepOnePlus™ Software (<b>a</b>) amplification plot, (<b>b</b>) melt curve of short fragment: two samples from T-2 group (2 blue line), two samples from the DON group (purple, pink line), one control sample (red, yellow, two green line) in the quadruplicate from week 3. The negative control is the magenta line. (<b>c</b>) Amplification plot of the long fragment: one control (yellow, two green, red) and one treated (two purple, two blue) samples in quadruplicate. (<b>d</b>) Melt curve of the long fragment: two samples from T-2 group (2 blue line), two samples from DON group (magenta, pink line), one control sample (red, yellow, two green line) in quadruplicate from week 3. The negative control is the purple line.</p>
Full article ">Figure 2 Cont.
<p>Amplification plot and melt curve of the short (<b>a</b>) and long (<b>b</b>) fragments by StepOne™/StepOnePlus™ Software (<b>a</b>) amplification plot, (<b>b</b>) melt curve of short fragment: two samples from T-2 group (2 blue line), two samples from the DON group (purple, pink line), one control sample (red, yellow, two green line) in the quadruplicate from week 3. The negative control is the magenta line. (<b>c</b>) Amplification plot of the long fragment: one control (yellow, two green, red) and one treated (two purple, two blue) samples in quadruplicate. (<b>d</b>) Melt curve of the long fragment: two samples from T-2 group (2 blue line), two samples from DON group (magenta, pink line), one control sample (red, yellow, two green line) in quadruplicate from week 3. The negative control is the purple line.</p>
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11 pages, 2329 KiB  
Article
A Spider Toxin Exemplifies the Promises and Pitfalls of Cell-Free Protein Production for Venom Biodiscovery
by Tim Lüddecke, Anne Paas, Lea Talmann, Kim N. Kirchhoff, Björn M. von Reumont, André Billion, Thomas Timm, Günter Lochnit and Andreas Vilcinskas
Toxins 2021, 13(8), 575; https://doi.org/10.3390/toxins13080575 - 18 Aug 2021
Cited by 7 | Viewed by 3453
Abstract
Arthropod venoms offer a promising resource for the discovery of novel bioactive peptides and proteins, but the limited size of most species translates into minuscule venom yields. Bioactivity studies based on traditional fractionation are therefore challenging, so alternative strategies are needed. Cell-free synthesis [...] Read more.
Arthropod venoms offer a promising resource for the discovery of novel bioactive peptides and proteins, but the limited size of most species translates into minuscule venom yields. Bioactivity studies based on traditional fractionation are therefore challenging, so alternative strategies are needed. Cell-free synthesis based on synthetic gene fragments is one of the most promising emerging technologies, theoretically allowing the rapid, laboratory-scale production of specific venom components, but this approach has yet to be applied in venom biodiscovery. Here, we tested the ability of three commercially available cell-free protein expression systems to produce venom components from small arthropods, using U2-sicaritoxin-Sdo1a from the six-eyed sand spider Hexophtalma dolichocephala as a case study. We found that only one of the systems was able to produce an active product in low amounts, as demonstrated by SDS-PAGE, mass spectrometry, and bioactivity screening on murine neuroblasts. We discuss our findings in relation to the promises and limitations of cell-free synthesis for venom biodiscovery programs in smaller invertebrates. Full article
(This article belongs to the Section Animal Venoms)
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<p>Architecture of the linear gene construct F120. The construct comprises a 49-bp 5′ UTR, including the T7 promoter (T7) and ribosome binding site (RBS), followed by the gene of interest (ATG start codon and the codon-optimized USCTX sequence) and a 35-bp 3′ UTR, including a TAA stop codon and T7 terminator (Ter). Functionally corresponding parts are shown in matching colors, with the UTRs in light gray, the RBS in orange, start/stop codons in dark gray, and promoter/terminator sequences in blue. Spacer nucleotides are indicated by noncontiguous boxes.</p>
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<p>Production and purification of USCTX. (<b>a</b>) Commercially available cell-free synthesis systems differ in their ability to produce USCTX (anticipated band size = 4.3 kDa). No such band was produced by the S30 Extract System (left) or the TnT T7 Insect Cell Extract Protein Expression System (right), but a band of the expected size was produced by the NEB PURExpress In Vitro Protein Synthesis System (middle, in duplicate to highlight reproducibility). (<b>b</b>) Purification of USCTX, showing the elution fractions E1–E3 from the His-Spin column. The red box indicates the area in which USCTX bands should appear.</p>
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<p>Effect of the recombinant USCTX produced by cell-free expression on the viability of mouse neuroblasts (N2a cells). We tested all three IMAC elution fractions, namely the purification flow-through (E1), water elution (E2), and washing buffer elution (E3). The inhibitory effect was measured relative to the positive control (HPC; maximum inhibition induced by Triton X-100, lowest viability) and negative control (HNC; untreated cells in growth medium, zero inhibition, highest viability).</p>
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8 pages, 1105 KiB  
Review
Secretion of Pertussis Toxin from Bordetella pertussis
by Drusilla L. Burns
Toxins 2021, 13(8), 574; https://doi.org/10.3390/toxins13080574 - 18 Aug 2021
Cited by 7 | Viewed by 4307
Abstract
Production and secretion of pertussis toxin (PT) is essential for the virulence of Bordetella pertussis. Due to the large oligomeric structure of PT, transport of the toxin across bacterial membrane barriers represents a significant hurdle that the bacteria must overcome in order [...] Read more.
Production and secretion of pertussis toxin (PT) is essential for the virulence of Bordetella pertussis. Due to the large oligomeric structure of PT, transport of the toxin across bacterial membrane barriers represents a significant hurdle that the bacteria must overcome in order to maintain pathogenicity. During the secretion process, PT undergoes a two-step transport process. The first step involves transport of the individual polypeptide chains of PT across the inner membrane utilizing a generalized secretion pathway, most likely the bacterial Sec system. The second step involves the use of a specialized apparatus to transport the toxin across the outer membrane of the bacterial cell. This apparatus, which has been termed the Ptl transporter and which is unique to the PT secretion pathway, is a member of the type IV family of bacterial transporters. Here, the current understanding of the PT secretion process is reviewed including a description of the Ptl proteins that assemble to form the transporter, the general structure of type IV transporters, the known similarities and differences between canonical type IV substrate transport and Ptl-mediated transport of PT, as well as the known sequence of events in the assembly and secretion of PT. Full article
(This article belongs to the Special Issue Pertussis Toxin and Research on Pertussis Vaccine)
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<p>Genes encoding the Ptl transporter of <span class="html-italic">B. pertussis</span> (<b>top</b>) and the VirB transporter of <span class="html-italic">A. tumefaciens</span> (<b>bottom</b>). Arrows of the same color represent homologous genes [<a href="#B4-toxins-13-00574" class="html-bibr">4</a>].</p>
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<p>Schematic drawing of the structure of a type IV transporter complex consisting of homologs of VirB3-VirB10. The drawing is adapted from Low et al. [<a href="#B19-toxins-13-00574" class="html-bibr">19</a>].</p>
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<p>Schematic depiction of the secretion of PT from <span class="html-italic">B. pertussis</span>. Individual polypeptide chains are synthesized with a signal sequence (pS1–pS5). The individual chains are then transported across the inner membrane by a Ptl-independent pathway such as the Sec pathway and their signal sequences are cleaved. The S1 subunit and the subunits comprising the B oligomer (S2–S5) then assemble before the toxin is released from the bacterial cell.</p>
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25 pages, 4324 KiB  
Review
The Therapeutic Strategies for Uremic Toxins Control in Chronic Kidney Disease
by Ping-Hsun Lu, Min-Chien Yu, Meng-Jiun Wei and Ko-Lin Kuo
Toxins 2021, 13(8), 573; https://doi.org/10.3390/toxins13080573 - 17 Aug 2021
Cited by 18 | Viewed by 8525
Abstract
Uremic toxins (UTs) are mainly produced by protein metabolized by the intestinal microbiota and converted in the liver or by mitochondria or other enzymes. The accumulation of UTs can damage the intestinal barrier integrity and cause vascular damage and progressive kidney damage. Together, [...] Read more.
Uremic toxins (UTs) are mainly produced by protein metabolized by the intestinal microbiota and converted in the liver or by mitochondria or other enzymes. The accumulation of UTs can damage the intestinal barrier integrity and cause vascular damage and progressive kidney damage. Together, these factors lead to metabolic imbalances, which in turn increase oxidative stress and inflammation and then produce uremia that affects many organs and causes diseases including renal fibrosis, vascular disease, and renal osteodystrophy. This article is based on the theory of the intestinal–renal axis, from bench to bedside, and it discusses nonextracorporeal therapies for UTs, which are classified into three categories: medication, diet and supplement therapy, and complementary and alternative medicine (CAM) and other therapies. The effects of medications such as AST-120 and meclofenamate are described. Diet and supplement therapies include plant-based diet, very low-protein diet, probiotics, prebiotics, synbiotics, and nutraceuticals. The research status of Chinese herbal medicine is discussed for CAM and other therapies. This review can provide some treatment recommendations for the reduction of UTs in patients with chronic kidney disease. Full article
(This article belongs to the Section Uremic Toxins)
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<p>Proposed mechanism of UT generation and therapeutic methods. GI, gastrointestinal; OAT, organic anion transporter; SULT, sulfotransferase; UT, uremic toxin.</p>
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35 pages, 2122 KiB  
Review
Integrated Mycotoxin Management System in the Feed Supply Chain: Innovative Approaches
by Francesca Fumagalli, Matteo Ottoboni, Luciano Pinotti and Federica Cheli
Toxins 2021, 13(8), 572; https://doi.org/10.3390/toxins13080572 - 16 Aug 2021
Cited by 46 | Viewed by 8410
Abstract
Exposure to mycotoxins is a worldwide concern as their occurrence is unavoidable and varies among geographical regions. Mycotoxins can affect the performance and quality of livestock production and act as carriers putting human health at risk. Feed can be contaminated by various fungal [...] Read more.
Exposure to mycotoxins is a worldwide concern as their occurrence is unavoidable and varies among geographical regions. Mycotoxins can affect the performance and quality of livestock production and act as carriers putting human health at risk. Feed can be contaminated by various fungal species, and mycotoxins co-occurrence, and modified and emerging mycotoxins are at the centre of modern mycotoxin research. Preventing mould and mycotoxin contamination is almost impossible; it is necessary for producers to implement a comprehensive mycotoxin management program to moderate these risks along the animal feed supply chain in an HACCP perspective. The objective of this paper is to suggest an innovative integrated system for handling mycotoxins in the feed chain, with an emphasis on novel strategies for mycotoxin control. Specific and selected technologies, such as nanotechnologies, and management protocols are reported as promising and sustainable options for implementing mycotoxins control, prevention, and management. Further research should be concentrated on methods to determine multi-contaminated samples, and emerging and modified mycotoxins. Full article
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<p>Representation of the feed chain.</p>
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<p>Integrated system phases for mycotoxin management (modified from FAO 1995).</p>
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<p>Crucial HACCP tasks for mycotoxin control in the feed chain (modified from FAO, 2001).</p>
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<p>Novel strategies for preventing livestock mycotoxin contamination.</p>
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13 pages, 1661 KiB  
Article
Evaluation of Salivary Indoxyl Sulfate with Proteinuria for Predicting Graft Deterioration in Kidney Transplant Recipients
by Natalia Korytowska, Aleksandra Wyczałkowska-Tomasik, Leszek Pączek and Joanna Giebułtowicz
Toxins 2021, 13(8), 571; https://doi.org/10.3390/toxins13080571 - 16 Aug 2021
Cited by 7 | Viewed by 3090
Abstract
Acute kidney injury (AKI) is a significant risk factor for developing chronic kidney disease and progression to end-stage renal disease in elderly patients. AKI is also a relatively common complication after kidney transplantation (KTx) associated with graft failure. Since the lifespan of a [...] Read more.
Acute kidney injury (AKI) is a significant risk factor for developing chronic kidney disease and progression to end-stage renal disease in elderly patients. AKI is also a relatively common complication after kidney transplantation (KTx) associated with graft failure. Since the lifespan of a transplanted kidney is limited, the risk of the loss/deterioration of graft function (DoGF) should be estimated to apply the preventive treatment. The collection of saliva and urine is more convenient than collecting blood and can be performed at home. The study aimed to verify whether non-invasive biomarkers, determined in saliva and urine, may be useful in the prediction of DoGF in kidney transplant recipients (KTRs) (n = 92). Salivary and serum toxins (p-cresol sulfate, pCS; indoxyl sulfate, IS) concentrations were determined using liquid chromatography-tandem mass spectrometry (LC-MS/MS). Urinary proteins, hemoglobin, and glucose were measured using a semi-quantitative strip test. Salivary IS (odds ratio (OR) = 1.19), and proteinuria (OR = 3.69) were demonstrated as independent factors for the prediction of DoGF. Satisfactory discriminatory power (area under the receiver operating characteristic curve (AUC) = 0.71 ± 0.07) and calibration of the model were obtained. The model showed that categories of the increasing probability of the risk of DoGF are associated with the decreased risk of graft survival. The non-invasive diagnostic biomarkers are a useful screening tool to identify high-risk patients for DoGF. Full article
(This article belongs to the Special Issue Uremic Toxins and Urinary Acute Kidney Injury Biomarkers)
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<p>The correlation between eGFR and (<b>a</b>) serum pCS (r<sub>s</sub> = −0.50); (<b>b</b>) salivary pCS (r<sub>s</sub> = −0.55); (<b>c</b>) serum IS (r<sub>s</sub> = −0.78); and (<b>d</b>) salivary IS (r<sub>s</sub> = −0.76) at M1 for all subjects. eGFR: estimated glomerular filtration rate; IS: indoxyl sulfate; pCS: <span class="html-italic">p</span>-cresol sulfate.</p>
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<p>The correlation between (<b>a</b>) salivary and serum pCS (r<sub>s</sub> = 0.92); (<b>b</b>) salivary and serum IS (r<sub>s</sub> = 0.81) at M1 for all subjects. IS: indoxyl sulfate; pCS: <span class="html-italic">p</span>-cresol sulfate.</p>
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<p>The area under the receiver operating characteristic curve (AUC) for the model of deterioration of graft function included salivary IS and proteinuria at M1.</p>
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<p>Graft survival according to the (<b>a</b>) categories of predicted probabilities of deterioration of graft function: calculated risk of deterioration of graft function lower than 10%, between 10% and 40%, and above 40% (<span class="html-italic">p</span> &lt; 0.00001); (<b>b</b>) <span style="color:#0A0A0A">sub-groups: low IS and no proteinuria, high IS and no proteinuria, low IS with proteinuria, and high IS with proteinuria. </span><span style="color:red">* </span>The only statistically significant difference was observed between the group with low IS and no proteinuria and the group with high IS with proteinuria (<span class="html-italic">p</span> = 0.04250).</p>
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11 pages, 2836 KiB  
Article
Analysis of Aflatoxin Biomarkers in the Hair of Experimental Animals
by Innocent Mupunga, Ilse Janse van Rensburg, Nokuthula Luthuli, Ovokeroye A. Abafe, Leshweni J. Shai and David R. Katerere
Toxins 2021, 13(8), 570; https://doi.org/10.3390/toxins13080570 - 16 Aug 2021
Cited by 3 | Viewed by 2980
Abstract
Analysis of body fluids and tissues of aflatoxin exposed individuals for the presence of aflatoxins and aflatoxin metabolites has emerged as a reliable indicator of exposure and metabolism of aflatoxins. However, current aflatoxin biomarkers are not appropriate for investigating the long-term effects of [...] Read more.
Analysis of body fluids and tissues of aflatoxin exposed individuals for the presence of aflatoxins and aflatoxin metabolites has emerged as a reliable indicator of exposure and metabolism of aflatoxins. However, current aflatoxin biomarkers are not appropriate for investigating the long-term effects of aflatoxin exposure. In this explorative study, we investigated the analysis of hair as a complementary or alternative matrix for the assessment of biomarkers of long-term aflatoxin exposure. Three groups of guinea pigs were orally dosed with 5 ugkg−1bw−1, 50 ugkg−1bw−1, and 100 ugkg−1bw−1 of AFB1. Urine and hair samples were collected on days 0, 1, 2, 3, 7, 30, 60, and 90 and analysed for AFB1 and AFM1 using UHPLC-MS/MS. AFB1 and AFM1 were detected in 75% and 13.6%, respectively, of the day 1 to day 7 urine samples. AFB1 was detected in hair samples collected from day 3 up to day 60. This is the first report to confirm the deposition of AFB1 in the hair of experimental animals. These findings indicate that hair analysis has the potential to provide an accurate long-term historical record of aflatoxin exposure with potentially important implications for the field of aflatoxin biomarkers. Full article
(This article belongs to the Special Issue Human Biomonitoring and Risk Assessment of Mycotoxins)
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<p>Calibration curve for the AFB1 in hair method.</p>
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<p>Chromatograms showing AFB1 fragmentation pathways after direct MS/MS analysis of the hair samples: (<b>A</b>) 313→91; (<b>B</b>) 313→255; (<b>C</b>) 313→295.</p>
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14 pages, 2809 KiB  
Article
Association of Polygenic Risk Score and Bacterial Toxins at Screening Colonoscopy with Colorectal Cancer Progression: A Multicenter Case-Control Study
by Alfonso Piciocchi, Elena Angela Pia Germinario, Koldo Garcia Etxebarria, Silvia Rossi, Lupe Sanchez-Mete, Barbara Porowska, Vittoria Stigliano, Paolo Trentino, Andrea Oddi, Fabio Accarpio, Gian Luca Grazi, Giovanni Bruno, Massimo Bonucci, Massimo Giambenedetti, Patrizia Spigaglia, Fabrizio Barbanti, Slawomir Owczarek, Ida Luzzi, Elisabetta Delibato, Zaira Maroccia, Lorenza Nisticò, Carla Fiorentini, Mauro D’Amato, Roberta De Angelis and Alessia Fabbriadd Show full author list remove Hide full author list
Toxins 2021, 13(8), 569; https://doi.org/10.3390/toxins13080569 - 16 Aug 2021
Cited by 16 | Viewed by 5502
Abstract
Colorectal cancer (CRC) is a leading cause of cancer death worldwide, and its incidence is correlated with infections, chronic inflammation, diet, and genetic factors. An emerging aspect is that microbial dysbiosis and chronic infections triggered by certain bacteria can be risk factors for [...] Read more.
Colorectal cancer (CRC) is a leading cause of cancer death worldwide, and its incidence is correlated with infections, chronic inflammation, diet, and genetic factors. An emerging aspect is that microbial dysbiosis and chronic infections triggered by certain bacteria can be risk factors for tumor progression. Recent data suggest that certain bacterial toxins implicated in DNA attack or in proliferation, replication, and death can be risk factors for insurgence and progression of CRC. In this study, we recruited more than 300 biopsy specimens from people undergoing colonoscopy, and we analyzed to determine whether a correlation exists between the presence of bacterial genes coding for toxins possibly involved in CRC onset and progression and the different stages of CRC. We also analyzed to determine whether CRC-predisposing genetic factors could contribute to bacterial toxins response. Our results showed that CIF toxin is associated with polyps or adenomas, whereas pks+ seems to be a predisposing factor for CRC. Toxins from Escherichia coli as a whole have a higher incidence rate in adenocarcinoma patients compared to controls, whereas Bacteroides fragilis toxin does not seem to be associated with pre-cancerous nor with cancerous lesions. These results have been obtained irrespectively of the presence of CRC-risk loci. Full article
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<p>Box plot of Polygenic Risk Score by outcome measures.</p>
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<p>Experimental design and exclusion criteria of the study.</p>
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14 pages, 4850 KiB  
Article
Reduced Expression of Metallothionein-I/II in Renal Proximal Tubules Is Associated with Advanced Chronic Kidney Disease
by Yi-Jhu Lu, Ya-Ju Wu, Lu-Jen Chen, Bor-Sheng Ko, Tzu-Ching Chang, Yi-Ju Wu, Shu-Man Liang, Yee-Jee Jan and Jun-Yang Liou
Toxins 2021, 13(8), 568; https://doi.org/10.3390/toxins13080568 - 15 Aug 2021
Cited by 6 | Viewed by 3515
Abstract
Chronic kidney disease (CKD) is a commonly occurring complex renal syndrome that causes overall mortality in many diseases. The clinical manifestations of CKD include renal tubulointerstitial fibrosis and loss of renal function. Metallothionein-I/II (MT-I/II) is potentially expressed in the liver and kidney, and [...] Read more.
Chronic kidney disease (CKD) is a commonly occurring complex renal syndrome that causes overall mortality in many diseases. The clinical manifestations of CKD include renal tubulointerstitial fibrosis and loss of renal function. Metallothionein-I/II (MT-I/II) is potentially expressed in the liver and kidney, and possesses antioxidant and metal detoxification properties. However, whether MT-I/II expression is associated with the prognosis of nephropathy remains unknown. In this study, we investigated the MT-I/II level in human CKD, using immunohistochemistry. MT-I/II is located on the proximal tubules and is notably reduced in patients with CKD. MT-I/II expression was significantly correlated with the functional and histological grades of CKD. In an aristolochic acid (AAI)-induced nephropathy mouse model, MT-I/II was abundantly increased after AAI injection for 7 days, but decreased subsequently compared to that induced in the acute phase when injected with AAI for 28 days. Furthermore, we found that ammonium pyrrolidinedithiocarbamate (PDTC) restored AAI-induced MT-I/II reduction in HK2 cells. The injection of PDTC ameliorated AAI-induced renal tubulointerstitial fibrosis and reduced the concentrations of blood urea nitrogen and creatinine in mouse sera. Taken together, our results indicate that MT-I/II reduction is associated with advanced CKD, and the retention of renal MT-I/II is a potential therapeutic strategy for CKD. Full article
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<p>MT-I/II located within proximal tubule (PT) in normal and CKD renal parenchyma. The histopathological images of human kidney slides stained with hematoxylin and eosin (H&amp;E) (Left panel). The location and morphology of PT displayed with alpha-methyl CoA racemase (AMACR) using immunohistochemistry (Middle Panel). Histological images revealed the location and changes of MT-I/II by their specific antibody (Right panel). Bar = 500 μm.</p>
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<p>MT-I/II levels in kidney of aristolochic acid (AAI)-induced nephropathy (AAN) mice. (<b>A</b>) Histological images of MT-I/II stained using immunohistochemistry in mice without (CTR) or with AAI (5 mg/kg bw) injection for 7 days. (<b>B</b>) Histological images of MT-I/II in mice without (CTR) or with AAI injection (2.5 and 5 mg/kg) for 4 weeks. Bar = 200 μm in low magnification image; Bar = 50 μm in high magnification image. (<b>C</b>) The statistic figure showing the raw values of distribution area times stain intensity of MT-I/II in (<b>A</b>) and (<b>B</b>). <span class="html-italic">n</span> ≥ 6 in each group.</p>
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<p>The amounts of serum BUN and CRE in AAN mice. Serum concentrations of (<b>A</b>) BUN and (<b>B</b>) CRE in mice without (CTR) or with AAI (2.5 and 5 mg/kg) injection detected using ELISA analysis at 7 days and 4 weeks as indicated. <span class="html-italic">n</span> ≥ 6 in each group. <span class="html-italic">P</span> values of the t-test were denoted as indications.</p>
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<p>PDTC restored AAI-reduced MT-I/II expression in the HK2 cells. Representative images of (<b>A</b>) Expression of MT-I/II treated with 25 µM AAI (DMSO as control) for 0–6 days in HK2 cells. (<b>B</b>) Expression of MT-I/II treated with 0–30 µM of PDTC (DMSO as control) for 2 days in HK2 cells. (<b>C</b>) MT-I/II expression treated with 25 µM AAI or/and 30 µM PDTC for 2 days in HK2 cells. MT-I/II levels as determined using Western blot analysis. Actin or tubulin was used as the internal loading control.</p>
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<p>Level of serum BUN and CRE in PDTC treated AAN mice. Serum concentrations of (<b>A</b>) BUN and (<b>B</b>) CRE in AAN mice injected with 2.5 mg/kg AAI or/and 10 mg/kg PDTC for 4 weeks as determined using ELISA analysis. <span class="html-italic">n</span> ≥ 6 in each group. <span class="html-italic">P</span> values of the t-test were denoted as indications.</p>
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<p>Effect of PDTC for kidney injury in AAN mice. (<b>A</b>) The histological analysis of renal fibrosis in AAN (2.5 mg/kg) mice injected with/without PDTC (10 mg/kg) for 4 weeks examined using Masson’s Trichrome stain. Bar = 200 μm. (<b>B</b>) The statistical analysis (the raw values of distribution area times stain intensity) of renal fibrosis was performed using image J analysis. <span class="html-italic">n</span> ≥ 6 in each group. <span class="html-italic">P</span> values of the t-test were denoted as indications.</p>
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<p>Effect of PDTC for kidney injury in AAN mice. (<b>A</b>) The histological analysis of renal fibrosis in AAN (2.5 mg/kg) mice injected with/without PDTC (10 mg/kg) for 4 weeks examined using Masson’s Trichrome stain. Bar = 200 μm. (<b>B</b>) The statistical analysis (the raw values of distribution area times stain intensity) of renal fibrosis was performed using image J analysis. <span class="html-italic">n</span> ≥ 6 in each group. <span class="html-italic">P</span> values of the t-test were denoted as indications.</p>
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19 pages, 1309 KiB  
Review
Panorama of the Intracellular Molecular Concert Orchestrated by Actinoporins, Pore-Forming Toxins from Sea Anemones
by Carlos Alvarez, Carmen Soto, Sheila Cabezas, Javier Alvarado-Mesén, Rady Laborde, Fabiola Pazos, Uris Ros, Ana María Hernández and María Eliana Lanio
Toxins 2021, 13(8), 567; https://doi.org/10.3390/toxins13080567 - 13 Aug 2021
Cited by 8 | Viewed by 3505
Abstract
Actinoporins (APs) are soluble pore-forming proteins secreted by sea anemones that experience conformational changes originating in pores in the membranes that can lead to cell death. The processes involved in the binding and pore-formation of members of this protein family have been deeply [...] Read more.
Actinoporins (APs) are soluble pore-forming proteins secreted by sea anemones that experience conformational changes originating in pores in the membranes that can lead to cell death. The processes involved in the binding and pore-formation of members of this protein family have been deeply examined in recent years; however, the intracellular responses to APs are only beginning to be understood. Unlike pore formers of bacterial origin, whose intracellular impact has been studied in more detail, currently, we only have knowledge of a few poorly integrated elements of the APs’ intracellular action. In this review, we present and discuss an updated landscape of the studies aimed at understanding the intracellular pathways triggered in response to APs attack with particular reference to sticholysin II, the most active isoform produced by the Caribbean Sea anemone Stichodactyla helianthus. To achieve this, we first describe the major alterations these cytolysins elicit on simpler cells, such as non-nucleated mammalian erythrocytes, and then onto more complex eukaryotic cells, including tumor cells. This understanding has provided the basis for the development of novel applications of sticholysins such as the construction of immunotoxins directed against undesirable cells, such as tumor cells, and the design of a cancer vaccine platform. These are among the most interesting potential uses for the members of this toxin family that have been carried out in our laboratory. Full article
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<p>Structural features of APs. (<b>A</b>) Multiple sequence alignment of the full-length actinoporin sequences. The amino acid sequences of actinoporins were obtained from the non-redundant protein databases using the NCBI BLAST protein server, BLASTp (<a href="https://blast.ncbi.nlm.nih.gov/Blast.cgi" target="_blank">https://blast.ncbi.nlm.nih.gov/Blast.cgi</a>, accessed on 2 August 2021), from the National Library of Medicine, USA, and were aligned with that of StI as described [<a href="#B31-toxins-13-00567" class="html-bibr">31</a>]. Identical amino acids were identified with dots, spaces with a dash, and substitutions with the corresponding amino acids. The amino-terminal segments (approximately the first 30 amino acids) are enclosed in a red rectangle. Some of the amino acids strictly conserved in the sequences are shaded, and their functions in the protein–protein, protein–lipid interaction, or both, are identified with an open black square, solid black square, and white diamond, respectively, as described [<a href="#B31-toxins-13-00567" class="html-bibr">31</a>]. (<b>B</b>) Schematic representation of StII 3D structure. StII structure displayed in a ribbon diagram (PDB: 1O72-A) exhibiting common structural features of APs. The red ribbon symbolizes the helixes in blue β-sheets; turns and loops are shown in gray. Furthermore, the POC binding site is shown. The structure was estimated by Pymol Software [<a href="#B45-toxins-13-00567" class="html-bibr">45</a>]. (<b>C</b>) Representation of a side-view showing the octameric pore of FraC in a lipid bilayer [<a href="#B18-toxins-13-00567" class="html-bibr">18</a>].</p>
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<p>Intracellular MAPK signaling pathways activated under extracellular signaling and StII action. Membrane perturbation induced by various stimuli provokes the activation of the MAPKs cascade. The targets of MAPKs in the cytosol and nucleus are responsible for the biological response leading to cell survival or death. Pore formation by StII induces ERK1/2 activation through MEK1/2 pathway. In normal BHK cells, the inhibition of ERK1/2 increases cell death, suggesting their involvement in cellular defense [<a href="#B5-toxins-13-00567" class="html-bibr">5</a>]. However, the ERK1/2 activation in tumor Raji cells is related to cellular death [<a href="#B113-toxins-13-00567" class="html-bibr">113</a>]. Pore formation by StII causes K<sup>+</sup> efflux through the StII’s pore and an increase in intracellular Ca<sup>2+</sup> from the external medium and ER [<a href="#B113-toxins-13-00567" class="html-bibr">113</a>]. As a result, MAP3K activation takes place, eliciting p38 phosphorylation. The activation of p38 kinase is associated with cell survival in BHK [<a href="#B5-toxins-13-00567" class="html-bibr">5</a>] and P3X63Ag cells (unpublished results). * Indicates those processes in which the intervention of StII has been identified.</p>
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<p>Schematic summary of the main signaling events triggered by StII on normal BHK cells and tumor Raji cells. Upon binding to the membrane, StII promotes Ca<sup>2+</sup> release to the cytosol from the endoplasmic reticulum (ER) [<a href="#B60-toxins-13-00567" class="html-bibr">60</a>]; after pore organization in the membrane a decrease of K<sup>+</sup> and increase of Ca<sup>2+</sup> ions occurs in the cytosol. Sublytic doses of StII elicit activation of Erk1/2 and p38 MAPKs, leading to cell survival in BHK cells. This activation occurs in response to K<sup>+</sup> depletion in cell cytosol [<a href="#B5-toxins-13-00567" class="html-bibr">5</a>]. In Raji cells, sublytic doses of StII activate the signaling pathway involving Erk1/2 and RIP1. This activation leads to cell death by a necrosis cell type of cell death with the participation of intracellular pathways. Lytic doses of StII provoke cell necrosis accompanied by blebbing. *: activated components.</p>
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6 pages, 524 KiB  
Article
Humoral Immune Response Evaluation in Horses Vaccinated with Recombinant Clostridium perfringens Toxoids Alpha and Beta for 12 Months
by Nayra F. Q. R. Freitas, Denis Y. Otaka, Cleideanny C. Galvão, Dayane M. de Almeida, Marcos R. A. Ferreira, Clóvis Moreira Júnior, Marina M. M. H. Hidalgo, Fabricio R. Conceição and Felipe M. Salvarani
Toxins 2021, 13(8), 566; https://doi.org/10.3390/toxins13080566 - 13 Aug 2021
Cited by 2 | Viewed by 2781
Abstract
In horses, Clostridium perfringens is associated with acute and fatal enterocolitis, which is caused by a beta toxin (CPB), and myonecrosis, which is caused by an alpha toxin (CPA). Although the most effective way to prevent these diseases is through vaccination, specific clostridial [...] Read more.
In horses, Clostridium perfringens is associated with acute and fatal enterocolitis, which is caused by a beta toxin (CPB), and myonecrosis, which is caused by an alpha toxin (CPA). Although the most effective way to prevent these diseases is through vaccination, specific clostridial vaccines for horses against C. perfringens are not widely available. The aim of this study was to pioneer the immunization of horses with three different concentrations (100, 200 and 400 µg) of C. perfringens recombinant alpha (rCPA) and beta (rCPB) proteins, as well as to evaluate the humoral immune response over 360 days. Recombinant toxoids were developed and applied to 50 horses on days 0 and 30. Those vaccines attempted to stimulate the production of alpha antitoxin (anti-CPA) and beta antitoxin (anti-CPB), in addition to becoming innocuous, stable and sterile. There was a reduction in the level of neutralizing anti-CPA and anti-CPB antibodies following the 60th day; therefore, the concentrations of 200 and 400 µg capable of inducing a detectable humoral immune response were not determined until day 180. In practical terms, 200 µg is possibly the ideal concentration for use in the veterinary industry’s production of vaccines against the action of C. perfringens in equine species. Full article
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<p>Mean alpha (anti-CPA) and beta antitoxin (anti-CPB) titers in horses immunized with a commercial vaccine (CV) and with the three recombinant vaccines (RV1, RV2 and RV3) on days 60, 90, 120, 150 and 180 after the first vaccination.</p>
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27 pages, 2859 KiB  
Review
In Vivo Models and In Vitro Assays for the Assessment of Pertussis Toxin Activity
by Marieke Esther Hoonakker
Toxins 2021, 13(8), 565; https://doi.org/10.3390/toxins13080565 - 12 Aug 2021
Cited by 5 | Viewed by 7630
Abstract
One of the main virulence factors produced by Bordetella pertussis is pertussis toxin (PTx) which, in its inactivated form, is the major component of all marketed acellular pertussis vaccines. PTx ADP ribosylates Gαi proteins, thereby affecting the inhibition of adenylate cyclases and [...] Read more.
One of the main virulence factors produced by Bordetella pertussis is pertussis toxin (PTx) which, in its inactivated form, is the major component of all marketed acellular pertussis vaccines. PTx ADP ribosylates Gαi proteins, thereby affecting the inhibition of adenylate cyclases and resulting in the accumulation of cAMP. Apart from this classical model, PTx also activates some receptors and can affect various ADP ribosylation- and adenylate cyclase-independent signalling pathways. Due to its potent ADP-ribosylation properties, PTx has been used in many research areas. Initially the research primarily focussed on the in vivo effects of the toxin, including histamine sensitization, insulin secretion and leukocytosis. Nowadays, PTx is also used in toxicology research, cell signalling, research involving the blood–brain barrier, and testing of neutralizing antibodies. However, the most important area of use is testing of acellular pertussis vaccines for the presence of residual PTx. In vivo models and in vitro assays for PTx often reflect one of the toxin’s properties or details of its mechanism. Here, the established and novel in vivo and in vitro methods used to evaluate PTx are reviewed, their mechanisms, characteristics and limitations are described, and their application for regulatory and research purposes are considered. Full article
(This article belongs to the Special Issue Pertussis Toxin and Research on Pertussis Vaccine)
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<p>The classical models for PTx binding, internalisation, ADP ribosylation, and its effect on cell signalling. The B oligomer of PTx binds to glycoconjugate proteins on the cell surface, upon which the holotoxin enters the cell by endocytosis, followed by retrograde transport through the endosome, Golgi and the endoplasmatic reticulum. Subsequently, the S1 subunit is released into the cytosol. Within the cytosol, the S1 subunit catalyses the transfer of ADP-ribose from NAD<sup>+</sup> to the α-subunit of Gα<sub>i/o/t</sub> proteins, thereby preventing interaction of these proteins with their cognate receptors. ADP ribosylation fixes the α-subunit of the G-proteins in their inactive (GDP-bound) form, thereby rendering it unable to inhibit its target enzymes; ACs. ACs catalyse the conversion of ATP into cAMP. This second messenger binds to and activates protein kinase A (PKA), which is involved in a range of pathways, one of which is the phosphorylation of the cAMP response element-binding protein (CREB). CREB binds to the DNA sequence cAMP response elements (CRE) and thereby increases the transcription of CRE responsive genes. PTx-induced cAMP might also directly bind to “exchange protein directly activated by cAMP” (EPAC), which are guanine nucleotide exchange factors for Rap molecules.</p>
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<p>The classical <span class="html-italic">in vivo</span> methods for PTx and models for the mechanisms. (<b>A</b>). The histamine sensitization test is based on the sensitizing effects of PTx in mice to histamine doses which would normally cause no effect. Under “normal” conditions, vascular permeability and blood pressure is maintained by the vascular endothelial cells and vascular smooth muscle cells. Administration of histamine results in the reorganization of actin filament structure and adherence junctions, increased endothelial permeability and vascular leakiness. Contraction of vascular smooth muscle cells can (partly) compensate for the blood volume loss, but this compensatory mechanism is inhibited by PTx, causing a significantly reduction in blood pressure. (<b>B</b>). In the leukocytosis promotion test, the effect of PTx on leukocyte numbers is measured. PTx inhibits lymphocyte extravasation and restores lymphocyte egress from lymph nodes to the lymph, resulting in a rise in circulating leukocyte number. Migration involves rolling mediated by attachment to selectins and arrest mediated by integrins. The binding of integrins and endothelial adhesion molecules triggers the opening of endothelial junctions, allowing leukocytes to transmigrate. PTx does not affect selectins and rolling, but does inhibit integrin mediated arrest. Integrins can only bind to adhesion molecules on the high endothelial venule cells upon activation by Gα<sub>i</sub>-coupled chemokine receptors. These Gα<sub>i</sub>-coupled receptors might be the target of PTx, although additional research will be necessary to confirm whether these receptors are responsible for the leukocytosis. (<b>C</b>). The mouse weight gain test is based upon the negative effect of PTx on the weight gain of mice throughout a period of seven days. Although considered a general toxicity test, its mechanism is unknown. (<b>D</b>). In the islet activation protein test, PTx enhances the glucose-induced release of insulin. In the test, PTx is responsible for ADP ribosylation of Gα<sub>i/o</sub> proteins in β-cell, resulting in accumulation of cAMP. Although not studied directly in relation to PTx, enhanced cAMP levels can activate PKA and EPAC and stimulate the glucose pathway that induces the release of insulin. The other pathway shown to be involved in the IAP test is mediated by ghrelin. Ghrelin is an endogenous ligand for the Gα<sub>i</sub>-coupled growth hormone secretagogue receptor, which can suppress K<sup>+</sup> exflux. As a result of the ADP ribosylation of this Gα<sub>i</sub>-coupled receptor, K<sup>+</sup> exflux is inhibited. The resulting depolarization causes Ca<sup>2+</sup> influx and enhanced levels of Ca<sup>2+</sup> are essential for the release of insulin.</p>
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<p>The cellular <span class="html-italic">in vitro</span> assays for PTx and their mechanisms. (<b>A</b>) The CHO cell clustering assay is based on the clustered growth pattern of CHO cells in response to PTx and requires an active S1 subunit. The morphological changes require rearrangement the cytoskeletal structures, but the underlying responsible mechanisms have not been fully elucidated. The first proposed mechanism (A1) involves the RhoA pathway, which normally results in polymerization of actin filaments. cAMP-dependent activation of PKA might result in an inactive state of RhoA, thereby diminishing or preventing actin polymerisation. Alternatively (A2), PTx-induced uncoupling of α<sub>i</sub> proteins might directly affect the functioning of Rap1 and thereby reduce polymerization of cytoskeletal structures. In the third proposed mechanism (A3), uncoupling of Gα<sub>i/o</sub> protein causes cGMP accumulation which also suppresses actin polymerization, affecting both cell shape and motility. Additional studies will be required to determine the involvement these three mechanisms in the CHO cell clustering assay. Clustering can be analysed manually and quantified by electrical impedance, continuous phase-contrast imaging or by measuring the distance between nearest neighbouring nuclei. (<b>B</b>) The ATP and cAMP PTx assays are based on the effects of PTx on the conversion of ATP to cAMP by the ACs. In the ATP-PTx assay (B1), the effect of PTx on ATP levels in peripheral blood mononuclear cells is measured using an ATP-luminescence assay. The cAMP-PTx assay is based on the rise in cAMP upon exposure of cells to PTx. Initially, A10 cells (B2) were used to monitor for PTx in combination with isoprenaline as an activator of AC using and a commercially available ELISA kits to measure cAMP levels. Subsequently, a CHO cell line stably expressing a CRE controlled NanoLuc construct was developed (B3). Upon stimulation with forskolin, PTx enhances the production of cAMP, leading to the activation of PKA, resulting in enhanced transcription of NanoLuc. The iGIST assay (<b>C</b>) is based upon HEK293 cells that co-express the Gα<sub>i</sub>-coupled SSTR2 receptor and a luminescent cAMP probe. In combination with octreotide and forskolin, these cells allow for real time assessment of cellular cAMP levels. PTx ADP ribosylates the α<sub>i</sub> subunit of SSTR2, diminishing the effect of octreotide and results in enhanced levels of cAMP. cAMP binding to the probe causes a conformational change and increases the luminescence signal. In the MoDC assay (<b>D</b>), the effect of PTx on the production of the cytokines IL-2 and IFN-γ by MoDC is assessed. As PTx is described to stimulate the TLR4 receptor, this pathway may be involved in MoDC activation.</p>
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19 pages, 1711 KiB  
Article
Experimental Evidence of Ciguatoxin Accumulation and Depuration in Carnivorous Lionfish
by Isabel do Prado Leite, Khalil Sdiri, Angus Taylor, Jérôme Viallon, Hela Ben Gharbia, Luiz Laureno Mafra Júnior, Peter Swarzenski, François Oberhaensli, Hélène Taiana Darius, Mireille Chinain and Marie-Yasmine Dechraoui Bottein
Toxins 2021, 13(8), 564; https://doi.org/10.3390/toxins13080564 - 11 Aug 2021
Cited by 13 | Viewed by 3834
Abstract
Ciguatera poisoning is a food intoxication associated with the consumption of fish or shellfish contaminated, through trophic transfer, with ciguatoxins (CTXs). In this study, we developed an experimental model to assess the trophic transfer of CTXs from herbivorous parrotfish, Chlorurus microrhinos, to [...] Read more.
Ciguatera poisoning is a food intoxication associated with the consumption of fish or shellfish contaminated, through trophic transfer, with ciguatoxins (CTXs). In this study, we developed an experimental model to assess the trophic transfer of CTXs from herbivorous parrotfish, Chlorurus microrhinos, to carnivorous lionfish, Pterois volitans. During a 6-week period, juvenile lionfish were fed naturally contaminated parrotfish fillets at a daily dose of 0.11 or 0.035 ng CTX3C equiv. g−1, as measured by the radioligand-receptor binding assay (r-RBA) or neuroblastoma cell-based assay (CBA-N2a), respectively. During an additional 6-week depuration period, the remaining fish were fed a CTX-free diet. Using r-RBA, no CTXs were detectable in muscular tissues, whereas CTXs were measured in the livers of two out of nine fish sampled during exposure, and in four out of eight fish sampled during depuration. Timepoint pooled liver samples, as analyzed by CBA-N2a, confirmed the accumulation of CTXs in liver tissues, reaching 0.89 ng CTX3C equiv. g−1 after 41 days of exposure, followed by slow toxin elimination, with 0.37 ng CTX3C equiv. g−1 measured after the 6-week depuration. These preliminary results, which need to be pursued in adult lionfish, strengthen our knowledge on CTX transfer and kinetics along the food web. Full article
(This article belongs to the Special Issue Ciguatoxins)
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<p>Proportion of control and CTX-exposed lionfish rejecting the food in relation to the number of remaining individuals at a given time during both the exposure and depuration periods.</p>
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<p>Quantification of CTX in fish liver during the exposure phase of the experiment. Dose-response curves of N2a cells when exposed to increasing concentrations of fish liver extracts, obtained from the exposure phase of the experiment, in OV<sup>−</sup> (open symbols) and OV<sup>+</sup> (solid symbols) conditions; (<b>A</b>) CTX3C (◆), (<b>B</b>) non-exposed control fish at day 42 (pool of 3 specimens) (∆/▲), (<b>C</b>) exposed fish at day 30 (pool of 4 specimens) (○/●), and (<b>D</b>) exposed fish at day 41 (pool of 5 specimens) (□/■). Data represent the mean ± SD of 1 assay, with each point run in triplicate. The dotted vertical line corresponds to the maximum concentration of liver tissue (MCE) that does not induce a matrix effect on the assay, which was estimated at 20 mg mL<sup>−1</sup> of fish liver extracts.</p>
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<p>Quantification of CTX in fish liver during the depuration phase of the experiment. Dose-response curves of N2a cells when exposed to increasing concentrations of pooled fish liver extracts, obtained from the depuration stage of the experiment, in OV<sup>−</sup> (open symbols) and OV<sup>+</sup> (solid symbols); (<b>A</b>) 8 days of depuration (pool of 3 specimens) (○/●), (<b>B</b>) 29 days of depuration (pool of three specimens) (□/■), and (<b>C</b>) 43 days of depuration (pool of two specimens) (∆/▲). Data represent the mean ± SD of one assay, with each point run in triplicate. The dotted vertical line corresponds to the maximum concentration of liver tissue (MCE) that does not induce the matrix effect, which was established at 20 mg mL<sup>−1</sup> of fish liver extracts.</p>
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<p>Design of the experiment, with 5 tanks initially containing 6 or 8 fish (<span class="html-italic">n</span>) assigned to the CTX-exposed treatment (T) and 2 tanks for control (C) containing 6 fish and 10 fish (<span class="html-italic">n</span>). The image represents a picture of the juvenile lionfish (<span class="html-italic">Pterois volitans</span>) individuals and their shelters made of dark tubes in one of the experimental tanks.</p>
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23 pages, 2967 KiB  
Article
A Comparative Analysis of Methods (LC-MS/MS, LC-MS and Rapid Test Kits) for the Determination of Diarrhetic Shellfish Toxins in Oysters, Mussels and Pipis
by Penelope A. Ajani, Chowdhury Sarowar, Alison Turnbull, Hazel Farrell, Anthony Zammit, Stuart Helleren, Gustaaf Hallegraeff and Shauna A. Murray
Toxins 2021, 13(8), 563; https://doi.org/10.3390/toxins13080563 - 11 Aug 2021
Cited by 4 | Viewed by 4371
Abstract
Rapid methods for the detection of biotoxins in shellfish can assist the seafood industry and safeguard public health. Diarrhetic Shellfish Toxins (DSTs) are produced by species of the dinoflagellate genus Dinophysis, yet the comparative efficacy of their detection methods has not been [...] Read more.
Rapid methods for the detection of biotoxins in shellfish can assist the seafood industry and safeguard public health. Diarrhetic Shellfish Toxins (DSTs) are produced by species of the dinoflagellate genus Dinophysis, yet the comparative efficacy of their detection methods has not been systematically determined. Here, we examined DSTs in spiked and naturally contaminated shellfish–Sydney Rock Oysters (Saccostrea glomerata), Pacific Oysters (Magallana gigas/Crassostrea gigas), Blue Mussels (Mytilus galloprovincialis) and Pipis (Plebidonax deltoides/Donax deltoides), using LC-MS/MS and LC-MS in 4 laboratories, and 5 rapid test kits (quantitative Enzyme-Linked Immunosorbent Assay (ELISA) and Protein Phosphatase Inhibition Assay (PP2A), and qualitative Lateral Flow Assay (LFA)). We found all toxins in all species could be recovered by all laboratories using LC-MS/MS (Liquid Chromatography—tandem Mass Spectrometry) and LC-MS (Liquid Chromatography—Mass Spectrometry); however, DST recovery at low and mid-level concentrations (<0.1 mg/kg) was variable (0–150%), while recovery at high-level concentrations (>0.86 mg/kg) was higher (60–262%). While no clear differences were observed between shellfish, all kits delivered an unacceptably high level (25–100%) of falsely compliant results for spiked samples. The LFA and the PP2A kits performed satisfactorily for naturally contaminated pipis (0%, 5% falsely compliant, respectively). There were correlations between spiked DSTs and quantitative methods was highest for LC-MS (r2 = 0.86) and the PP2A kit (r2 = 0.72). Overall, our results do not support the use of any DST rapid test kit as a stand-alone quality assurance measure at this time. Full article
(This article belongs to the Special Issue Marine Toxins from Harmful Algae and Seafood Safety)
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<p>Linear regression plots showing the relationship between spiked toxin concentration with both LC-MS and quantitative rapid test kits results in Australian shellfish samples calculated data within each method’s working range. Blue lines represent lower working range and red line upper working range of method. Note: Abraxis PP2A Working Range (WR) = 0.06 to 0.35 mg/kg; Beacon ELISA Limit of Quantification (LOQ) = 0.1 mg/kg; Abraxis ELISA Working Range = 0.1–5.0 mg/kg; EuroProxima ELISA Limit of Quantification = 0.04 mg/kg.</p>
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15 pages, 1084 KiB  
Article
Proteo-Transcriptomic Characterization of Sirex nitobei (Hymenoptera: Siricidae) Venom
by Chenglong Gao, Lili Ren, Ming Wang, Zhengtong Wang, Ningning Fu, Huiying Wang, Xiaochen Wang, Tegen Ao, Wensheng Du, Zijin Zheng, Huadong Li and Juan Shi
Toxins 2021, 13(8), 562; https://doi.org/10.3390/toxins13080562 - 11 Aug 2021
Cited by 10 | Viewed by 3053
Abstract
The wood-boring woodwasp Sirex nitobei is a native pest in Asia, infecting and weakening the host trees in numerous ecological and commercial coniferous forest plantations. In China, hosts of S. nitobei are diverse, so the pest has spread to several provinces of China, [...] Read more.
The wood-boring woodwasp Sirex nitobei is a native pest in Asia, infecting and weakening the host trees in numerous ecological and commercial coniferous forest plantations. In China, hosts of S. nitobei are diverse, so the pest has spread to several provinces of China, resulting in considerable economic and ecological damage. During female oviposition, S. nitobei venom along with arthrospores of the symbiotic fungus Amylostereum areolatum or A. chaetica is injected into host trees, and the combination of these two biological factors causes the death of xylem host trees. The presence of venom alone causes only the yellowing and wilting of needles. In this study, we constructed the venom gland transcriptome of S. nitobei for the first time and a total of 15,036 unigenes were acquired. From the unigenes, 11,560 ORFs were identified and 537 encoding protein sequences with signal peptides at the N-terminus. Then, we used the venomics approach to characterize the venom composition of female S. nitobei and predicted 1095 proteins by liquid chromatography-tandem mass spectrometry (LC-MS/MS) analysis. We focused on seven proteins that were both highly expressed in the venom gland transcriptome and predicted in the crude venom proteome. These seven proteins are laccase-2, laccase-3, a protein belonging to the Kazal family, chitooligosaccharidolytic β-N-acetylglucosaminidase, beta-galactosidase, icarapin-like protein, and waprin-Thr1-like protein. Using quantitative real-time PCR (qRT-PCR), we also proved that the genes related to these seven proteins are specifically expressed in the venom glands. Finally, we revealed the functional role of S. nitobei venom in the physiological response of host trees. It can not only promote the colonization of symbiotic fungus but contribute to the development of eggs and larvae. This study provides a deeper understanding of the molecular mechanism of the woodwasp–pine interaction. Full article
(This article belongs to the Special Issue Evolution, Genomics and Proteomics of Venom)
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<p>Gene ontology (GO) level 2 functional annotation of the unigenes from <span class="html-italic">S. nitobei</span> venom glands at the biological process, cellular component, and molecular function levels.</p>
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<p>SDS-PAGE of the crude venom extract from <span class="html-italic">S. nitobei</span>. Proteins were separated on 4–15% gradient gels and stained with Coomassie brilliant blue R-250. The left two lanes are the venom proteins, and the right lane is the molecular weight marker.</p>
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<p>Specific expression of selected genes in the venom gland. Results showing that the abundance of selected genes measured by qRT-PCR in females without venom glands, males, and venom glands. The results are presented as the mean fold changes of three independent biological replicates and the females without venom glands are used as calibrator. Different letters (a, b, c) were denoted that the mean values are significantly different (<span class="html-italic">p</span> &lt; 0.05).</p>
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20 pages, 770 KiB  
Review
Deoxynivalenol and Zearalenone—Synergistic or Antagonistic Agri-Food Chain Co-Contaminants?
by Asmita Thapa, Karina A. Horgan, Blánaid White and Dermot Walls
Toxins 2021, 13(8), 561; https://doi.org/10.3390/toxins13080561 - 11 Aug 2021
Cited by 35 | Viewed by 6029
Abstract
Deoxynivalenol (DON) and Zearalenone (ZEN) are two commonly co-occurring mycotoxins produced by members of the genus Fusarium. As important food chain contaminants, these can adversely affect both human and animal health. Critically, as they are formed prior to harvesting, their occurrence cannot [...] Read more.
Deoxynivalenol (DON) and Zearalenone (ZEN) are two commonly co-occurring mycotoxins produced by members of the genus Fusarium. As important food chain contaminants, these can adversely affect both human and animal health. Critically, as they are formed prior to harvesting, their occurrence cannot be eliminated during food production, leading to ongoing contamination challenges. DON is one of the most commonly occurring mycotoxins and is found as a contaminant of cereal grains that are consumed by humans and animals. Consumption of DON-contaminated feed can result in vomiting, diarrhoea, refusal of feed, and reduced weight gain in animals. ZEN is an oestrogenic mycotoxin that has been shown to have a negative effect on the reproductive function of animals. Individually, their mode of action and impacts have been well-studied; however, their co-occurrence is less well understood. This common co-occurrence of DON and ZEN makes it a critical issue for the Agri-Food industry, with a fundamental understanding required to develop mitigation strategies. To address this issue, in this targeted review, we appraise what is known of the mechanisms of action of DON and ZEN with particular attention to studies that have assessed their toxic effects when present together. We demonstrate that parameters that impact toxicity include species and cell type, relative concentration, exposure time and administration methods, and we highlight additional research required to further elucidate mechanisms of action and mitigation strategies. Full article
(This article belongs to the Special Issue Mycotoxins, Food Safety and Metrology)
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<p>Structure of Deoxynivalenol (<b>a</b>) and Zearalenone (<b>b</b>) [<a href="#B16-toxins-13-00561" class="html-bibr">16</a>,<a href="#B24-toxins-13-00561" class="html-bibr">24</a>].</p>
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15 pages, 5249 KiB  
Article
Evaluation of the Therapeutic Effects of Protocatechuic Aldehyde in Diabetic Nephropathy
by Yu-Teng Chang, Mu-Chi Chung, Chang-Chi Hsieh, Jeng-Jer Shieh and Ming-Ju Wu
Toxins 2021, 13(8), 560; https://doi.org/10.3390/toxins13080560 - 10 Aug 2021
Cited by 11 | Viewed by 3718
Abstract
Diabetic nephropathy (DN) is one of the most severe chronic kidney diseases in diabetes and is the main cause of end-stage renal disease (ESRD). Protocatechuic aldehyde (PCA) is a natural product with a variety of effects on pulmonary fibrosis. In this study, we [...] Read more.
Diabetic nephropathy (DN) is one of the most severe chronic kidney diseases in diabetes and is the main cause of end-stage renal disease (ESRD). Protocatechuic aldehyde (PCA) is a natural product with a variety of effects on pulmonary fibrosis. In this study, we examined the effects of PCA in C57BL/KS db/db male mice. Kidney morphology, renal function indicators, and Western blot, immunohistochemistry, and hematoxylin and eosin (H&E) staining data were analyzed. The results revealed that treatment with PCA could reduce diabetic-induced renal dysfunction, as indicated by the urine albumin-to-creatinine ratio (db/m: 120.1 ± 46.1μg/mg, db/db: 453.8 ± 78.7 µg/mg, db/db + 30 mg/kg PCA: 196.6 ± 52.9 µg/mg, db/db + 60 mg/kg PCA: 163.3 ± 24.6 μg/mg, p < 0.001). However, PCA did not decrease body weight, fasting plasma glucose, or food and water intake in db/db mice. H&E staining data revealed that PCA reduced glomerular size in db/db mice (db/m: 3506.3 ± 789.3 μm2, db/db: 6538.5 ± 1818.6 μm2, db/db + 30 mg/kg PCA: 4916.9 ± 1149.6 μm2, db/db + 60 mg/kg PCA: 4160.4 ± 1186.5 μm2p < 0.001). Western blot and immunohistochemistry staining indicated that PCA restored the normal levels of diabetes-induced fibrosis markers, such as transforming growth factor-beta (TGF-β) and type IV collagen. Similar results were observed for epithelial–mesenchymal transition-related markers, including fibronectin, E-cadherin, and α-smooth muscle actin (α-SMA). PCA also decreased oxidative stress and inflammation in the kidney of db/db mice. This research provides a foundation for using PCA as an alternative therapy for DN in the future. Full article
(This article belongs to the Special Issue Chronic Kidney Disease (CKD) Studies on Humans and Animals)
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<p>Effects of PCA on mean food intake, water intake, and body weight during the 16-week treatment period. The body weight (<b>A</b>), water intake (<b>B</b>), and food intake (<b>C</b>) of the mice were determined every 2 weeks (<span class="html-italic">n</span> = 8). Data are represented as means ± SD. PCA was administered at 30 mg/kg/day and 60 mg/kg/day in db/db mice.</p>
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<p>Renal function evaluations of mice. (<b>A</b>) Blood glucose levels were detected every 4 weeks (<span class="html-italic">n</span> = 8). (<b>B</b>,<b>C</b>) Quantification of serum creatinine and BUN, respectively (<span class="html-italic">n</span> = 8). (<b>D</b>) Urine albumin-to-creatinine ratio. The data are presented as means ± SD. *** <span class="html-italic">p</span> &lt; 0.001 compared to db/m mice. ## <span class="html-italic">p</span> &lt; 0.01, ### <span class="html-italic">p</span> &lt; 0.001 compared to db/db mice.</p>
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<p>Expressions of 8-OHdG and sCypA from db/db mice urine. (<b>A</b>) The expression of 8-OHdG in db/db mice, measured in the urine in the 16th week (<span class="html-italic">n</span> = 8). (<b>B</b>) The expression of sCypA in db/db mice, measured in the urine in the 16th week (<span class="html-italic">n</span> = 8). The data are presented as means ± SD. ** <span class="html-italic">p</span> &lt; 0.01, *** <span class="html-italic">p</span> &lt; 0.001 compared to db/m mice. # <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; 0.001 compared to db/db mice.</p>
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<p>PCA decreases the kidney weight and total glomerular area in db/db mouse kidneys. (<b>A</b>) Gross morphologies of kidneys (left panel), (<b>B</b>) kidney weight (right panel) (<span class="html-italic">n</span> = 8). (<b>C</b>) The basic morphology of kidney tissue visualized by H&amp;E staining followed by (<b>D</b>) quantitation of the glomerular area (<span class="html-italic">n</span> = 5). Scale bar represents 50 μm. The data are presented as means ± SD. ** <span class="html-italic">p</span> &lt; 0.01, *** <span class="html-italic">p</span> &lt; 0.001 compared to db/m mice. # <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; 0.001 compared to db/db mice.</p>
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<p>Effects of PCA treatment on renal fibrosis in db/db mouse kidneys. (<b>A</b>) Photographs of IHC for fibrosis-related proteins TGF-β and collagen IV (<span class="html-italic">n</span> = 5). Scale bar represents 50 μm. (<b>B</b>) Western blot analysis of the fibrosis-related proteins TGF-β and collagen IV (<span class="html-italic">n</span> = 3). The data are presented as means ± SD. *** <span class="html-italic">p</span> &lt; 0.001 compared to db/m mice. ## <span class="html-italic">p</span> &lt; 0.01, ### <span class="html-italic">p</span> &lt; 0.001 compared to db/db mice.</p>
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<p>Effects of PCA treatment on EMT in db/db mouse kidneys. (<b>A</b>) Photographs of IHC for EMT markers of fibronectin, E-cadherin, and α-SMA (<span class="html-italic">n</span> = 5). Scale bar represents 50 μm. (<b>B</b>) Western blot analyses were used to detect EMT marker protein levels for fibronectin, E-cadherin, and α-SMA (<span class="html-italic">n</span> = 3). The data are presented as means ± SD. * <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; 0.001 compared to db/m mice. # <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; 0.001 compared to db/db mice.</p>
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<p>Effect of PCA treatment on expression of AR, 8-OHdG, and markers of oxidative stress and inflammation in db/db mice kidneys. (<b>A</b>) Photographs of IHC for 8-OHdG (<span class="html-italic">n</span> = 5). Scale bar represents 50 μm. (<b>B</b>) Photographs of IHC for AR (<span class="html-italic">n</span> = 5). Scale bar represents 50 μm. (<b>C</b>) Western blot analyses were used to detect AR protein levels (<span class="html-italic">n</span> = 3). (<b>D</b>) Western blot analyses were used to detect oxidative stress-related marker protein levels for catalase, SOD1, HO-1, NOX2, and NOX4 (<span class="html-italic">n</span> = 3). (<b>E</b>) Western blot analyses were used to detect inflammation marker protein levels for Cox2, iNOS, <span class="html-italic">p</span>-IκB, and IκB (<span class="html-italic">n</span> = 3). The data are presented as means ± SD. * <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; 0.001 compared to db/m mice. # <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; 0.001 compared to db/db mice.</p>
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<p>Scheme of effects of protocatechuic aldehyde (PCA) on DN in db/db mice. Collectively, PCA can decrease kidney injury, renal dysfunction, renal fibrosis, EMT, and oxidative stress and inflammation induced by db/db mice. Red inhibition arrows indicate the phenotypes suppressed by PCA.</p>
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