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24 pages, 2153 KiB  
Article
The Genetic Expression Difference of A2058 Cells Treated by Plasma Direct Exposure and Plasma-Treated Medium and the Appropriate Treatment Strategy
by Chao-Yu Chen, Chung-Hsien Chou and Yun-Chien Cheng
Biomedicines 2025, 13(1), 184; https://doi.org/10.3390/biomedicines13010184 - 13 Jan 2025
Viewed by 197
Abstract
Background/Objectives: Cold atmospheric plasma (CAP) has been demonstrated as an adjustable device to generate various combinations of short-lived reactive oxygen and nitrogen species (RONS) and as a promising appliance for cancer therapy. This study investigated the effects of direct and indirect treatments [...] Read more.
Background/Objectives: Cold atmospheric plasma (CAP) has been demonstrated as an adjustable device to generate various combinations of short-lived reactive oxygen and nitrogen species (RONS) and as a promising appliance for cancer therapy. This study investigated the effects of direct and indirect treatments of Argon-based CAP to cancer cells (A2058, A549, U2OS and BCC) and fibroblasts (NIH3T3 and L929) on cell viability. We also aimed to understand whether plasma-generated RONS were involved in this process using genetic evidence. Methods: The intensity of reactive species in the plasma gas and the concentrations of RONS in phosphate-buffered saline (PBS) and cell culture medium were measured. A viability assay was performed after the cells were treated by plasma in PBS and medium with various volumes to realize the lethal effects of plasma under different conditions. Diverse cells were treated in the same solution to compare the sensitivities of different cells to plasma treatments. The gene expression profiles of A2058 cells after the direct and indirect treatments were analyzed by next generation gene sequencing. Accordingly, we discovered the advantages of sequential treatments on cancer therapy. Results: The cumulative concentration of hydroxyterephthalic acid (HTA) revealed that the pre-existing OH radical (•OH) in PBS increased with the treatment durations. However, there was no significant increase in the concentration of HTA in culture medium. HTA was detected in the treatment interface of PBS but not medium, showing the penetration of •OH through PBS. The concentrations of H2O2 and NO2 increased with the treatment durations, but that of NO3 was low. The direct treatments caused stronger lethal effects on cancer cells under certain conditions. The fibroblasts showed higher tolerance to plasma treatments. From gene expression analysis, the initial observations showed that both treatments influenced transcription-related pathways and exhibited shared or unique cellular stress responses. The pre-treatments, especially of direct exposure, revealed better cancer inhibition. Conclusions: The anti-cancer efficiency of plasma could be enhanced by pre-treatments and by adjusting the liquid interfaces to avoid the rapid consumption of short-lived RONS in the medium. To achieve better therapeutic effects and selectivity, more evidence is necessary to find optional plasma treatments. Full article
21 pages, 7386 KiB  
Article
Biochemical, Histological, and Multi-Omics Analyses Reveal the Molecular and Metabolic Mechanisms of Cold Stress Response in the Chinese Soft-Shelled Turtle (Pelodiscus sinensis)
by Liqin Ji, Qing Shi, Chen Chen, Xiaoli Liu, Junxian Zhu, Xiaoyou Hong, Chengqing Wei, Xinping Zhu and Wei Li
Biology 2025, 14(1), 55; https://doi.org/10.3390/biology14010055 - 11 Jan 2025
Viewed by 272
Abstract
The Chinese soft-shelled turtle (Pelodiscus sinensis), a type of warm-water reptile, is frequently chosen as the model animal to understand how organisms respond to environmental stressors. However, the responsive mechanism of P. sinensis to natural cold stress is unclear, especially in [...] Read more.
The Chinese soft-shelled turtle (Pelodiscus sinensis), a type of warm-water reptile, is frequently chosen as the model animal to understand how organisms respond to environmental stressors. However, the responsive mechanism of P. sinensis to natural cold stress is unclear, especially in terms of metabolic pattern and molecular pathways. Herein, plasma biochemical, hepatic morphological, apoptotic, transcriptomic, and metabolomic detection methods were performed to investigate the response of P. sinensis to acute cold stress. A consistent increase in plasma AST and ALT activities with a decline in ALP activity was found following 14 °C and 7 °C cold stress compared with the control group. Plasma GLU, TG, CHO, and HDL contents, reflecting energy metabolism, were decreased to lower levels from 2 to 16 days post cold stress (dps). Histological and TUNEL detection in the liver demonstrated that the 14 °C and 7 °C cold stress caused severe morphological damage and cell apoptosis in a time-dependent manner. DEGs in the biosynthesis of fatty acids (Acsbg2, Acsl3, Acsl4, Acsl5, Mcat, and Acacb), as well as unsaturated fatty acids (Hsd17b12, Elovl7, Scd, and Baat), starch and sucrose metabolism (Pgm1, Pgm2, and Treh), and apoptosis (Ddit3, Gadd45a, Lmnb1, Tuba1c, Tnf, Tnfsf10, Fos, Itpr1, and Ctso) were discovered in the transcriptome under cold stress. The metabolomic data showed that metabolites, including chenodeoxycholic acid, oleoylethanolamide, uric acid, fructose 1,6-bisphosphate, CMP, and S-(Hydroxymethyl)-glutathione, were remarkably altered in the cold stress groups. Combined transcriptomic and metabolomic data revealed that pyrimidine metabolism, amino acid metabolism, and pyruvate metabolism were the most significant pathways regulated by the low-temperature exposure. Overall, this work suggests that 14 °C and 7 °C cold stress could induce obvious morphological damage and apoptosis in the liver at 4 dps. Moreover, energy metabolism and amino acid metabolism were the main signaling pathways in response to cold stress for P. sinensis. Full article
(This article belongs to the Special Issue Metabolic and Stress Responses in Aquatic Animals)
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Figure 1

Figure 1
<p>Experimental flow chart.</p>
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<p>Effects of cold stress on plasma biochemical parameters (<b>A</b>–<b>H</b>). (<b>A</b>) Aspartate aminotransferase (AST) activity, (<b>B</b>) alanine aminotransferase (ALT) activity, (<b>C</b>) alkaline phosphatase (ALP) activity, (<b>D</b>) glucose (GLU) content, (<b>E</b>) triglyceride (TG) content, (<b>F</b>) total cholesterol (CHO) content, (<b>G</b>) low-density lipoprotein cholesterol (LDL) content, and (<b>H</b>) high-density lipoprotein cholesterol (HDL) content. All data are represented as mean ± SE (n = 3). Different superscript letters mean significant differences in different groups at the same time point (<span class="html-italic">p</span> &lt; 0.05).</p>
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<p>The representative histopathological traits of Chinese soft-shelled turtle liver at different time points post cold stress. (<b>A</b>–<b>E</b>) CG (28 °C control group). (<b>F</b>–<b>J</b>) T14 (14 °C cold stress group). (<b>K</b>–<b>O</b>) T7 (7 °C cold stress group). (<b>P</b>–<b>R</b>) Quantitative analysis of the counts of hemosiderin deposition (<b>P</b>), inflammatory cell infiltration (<b>Q</b>), and hepatocytes with steatosis (<b>R</b>). Scale bar = 100 μm. The orange arrows indicate that hepatic sinuses were enlarged and congested with erythrocytes. The red, blue, black, yellow, and green arrows, respectively, represent cell necrosis, inflammatory cell infiltration, cell edema, steatosis, and hemosiderin deposition. The blue, black, green, and red triangles, respectively, point to hepatocyte necrosis with acidophilic bodies, nuclear migration, nuclear deformation, and nuclear swelling. The quantitative data are represented as mean ± SD (n = 6). Different letters mean significant differences in different groups at the same time point (<span class="html-italic">p</span> &lt; 0.05).</p>
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<p>TUNEL staining of liver in the Chinese soft-shelled turtle at different time points post 7 °C cold stress. (<b>A</b>,<b>D</b>,<b>G</b>,<b>J</b>) TUNEL-labeled cells (GFP). (<b>B</b>,<b>E</b>,<b>H</b>,<b>K</b>) DAPI-labeled nuclei (blue). (<b>C</b>,<b>F</b>,<b>I</b>,<b>L</b>) DAPI-TUNEL double-labeled cells (merge). Scale bar = 50 μm. dps indicates days post cold stress. (<b>M</b>) Percentage of cell apoptosis. Different letters describe significant differences among groups (<span class="html-italic">p</span> &lt; 0.05).</p>
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<p>Characterization of transcriptomic profiles in three groups. (<b>A</b>) Principal component analysis (PCA) based on all expressed genes in three groups. (<b>B</b>) The correlation heatmap of all expressed genes in three groups. (<b>C</b>) The number of differentially expressed genes (DEGs) filtered by |log2(FoldChange)| &gt; 1 and adjusted <span class="html-italic">p</span>-value &lt; 0.05 in CG vs. T14, CG vs. T7, and T14 vs. T7 comparisons. Red and blue colors, respectively, represent up- and down-regulated genes. GO (<b>D</b>–<b>F</b>) and KEGG (<b>G</b>–<b>I</b>) enrichment analyses of DEGs in three pairwise comparisons. “CG” indicates the control group. “T14” and “T7” indicate 14 °C and 7 °C cold stress groups.</p>
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<p>Multivariate statistical analysis and differentially expressed metabolites (DEMs) of the metabolome in different groups. Orthogonal projection to latent structures–discriminant analysis (OPLS-DA) score plots in positive mode (<b>A</b>,<b>B</b>) and negative mode (<b>C</b>,<b>D</b>). “R2Y” indicates the explanatory rate and “Q2Y” indicates the predictive ability of the OPLS-DA model. Permutation tests of the OPLS-DA models for the CG vs. T14 (<b>E</b>) and CG vs. T7 (<b>F</b>) comparisons in positive mode as well as the CG vs. T14 (<b>G</b>) and CG vs. T7 (<b>H</b>) comparisons in negative mode. (<b>I</b>) The number of DEMs in three pairwise comparisons. Z-score plots showing the top 30 DEMs for the CG vs. T14 (<b>J</b>) and CG vs. T7 (<b>K</b>) comparisons. “CG” indicates the control group. “T14” and “T7” indicate 14 °C and 7 °C cold stress groups.</p>
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<p>KEGG enrichment analysis of differentially expressed metabolites (DEMs) of the metabolome in three pairwise comparisons, including CG vs. T14 (<b>A</b>), CG vs. T7 (<b>B</b>), and T14 vs. T7 (<b>C</b>). “CG” indicates the control group. “T14” and “T7” indicate 14 °C and 7 °C cold stress groups.</p>
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<p>Nine-quadrant diagrams and chord diagrams showing the correlation of differentially expressed genes (DEGs) and metabolites (DEMs) in three comparisons. Nine-quadrant diagrams show the correlation of DEGs and DEMs in the CG vs. T14 (<b>A</b>), CG vs. T7 (<b>B</b>), and T14 vs. T7 (<b>C</b>) comparisons. The chord diagrams exhibit a significant association of DEGs and DEMs in the CG vs. T14 (<b>D</b>), CG vs. T7 (<b>E</b>), and T14 vs. T7 (<b>F</b>) comparisons. “CG” indicates the control group. “T14” and “T7” indicate 14 °C and 7 °C cold stress groups.</p>
Full article ">Figure 9
<p>The enriched pathways in response to cold stress, assessed by conjoint analysis of differentially expressed genes (DEGs) and metabolites (DEMs). Enriched pathways of CG vs. T14 (<b>A</b>) and CG vs. T7 (<b>B</b>) comparisons. (<b>C</b>) The network maps illustrates the predominant genes, metabolites, and signaling pathways responding to cold stress. “CG” indicates the control group. “T14” and “T7” indicate 14 °C and 7 °C cold stress groups.</p>
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27 pages, 4250 KiB  
Article
The RAD6-like Ubiquitin Conjugase Gene OsUBC7 Has a Positive Role in the Early Cold Stress Tolerance Response of Rice
by Huy Phan and Michael Schläppi
Genes 2025, 16(1), 66; https://doi.org/10.3390/genes16010066 - 8 Jan 2025
Viewed by 363
Abstract
Background/Objectives: Cold stress poses a significant threat to Asian rice cultivation, disrupting important physiological processes crucial for seedling establishment and overall plant growth. It is, thus, crucial to elucidate genetic pathways involved in cold stress tolerance response mechanisms. Methods: We mapped OsUBC7, [...] Read more.
Background/Objectives: Cold stress poses a significant threat to Asian rice cultivation, disrupting important physiological processes crucial for seedling establishment and overall plant growth. It is, thus, crucial to elucidate genetic pathways involved in cold stress tolerance response mechanisms. Methods: We mapped OsUBC7, a Radiation-sensitive 6 (RAD6)-type homolog of rice, to a low-temperature seedling survivability (LTSS) QTL and used genomics, molecular genetics, and physiological assays to assess its role in plant resilience against low-temperature stress. Results: OsUBC7 is cold responsive and has higher expression levels in cold-tolerant japonica than cold-sensitive indica. Overexpression of OsUBC7 enhances LTSS of indica and freezing tolerance of Arabidopsis, increases levels of soluble sugars and chlorophyll A, boosts leaf development after cold exposure, and increases leaf cell numbers and plants size, but it does not affect membrane stability after cold stress exposure. Additionally, OsUBC7 has a positive role for germinability in the presence of salt and for flowering and yield-related traits. The OsUBC7 protein physically interacts with the developmental stage-specific and histone-modifying E3 ligases OsRFPH2-12 and OsHUB1/2, respectively, and potential target genes such as cell cycle dependent kinases were identified. Conclusions: OsUBC7 might contribute to cold resilience by regulating sugar metabolism to provide energy for promoting cellular homeostasis restoration after cold stress exposure via new cell growth, particularly in leaf cells crucial for photosynthesis and metabolic activity, possibly by interacting with cell cycle regulating proteins. Overall, the present study suggests that OsUBC7 may be involved in plant development, reproduction, and stress adaptation, and contributes to a deeper understanding of rice plant cold stress tolerance response mechanisms. OsUBC7 may be a promising candidate for improving crop productivity and resilience to stressful environments. Full article
(This article belongs to the Section Plant Genetics and Genomics)
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Figure 1

Figure 1
<p>Single-nucleotide polymorphisms (SNPs) and haplotypes of <span class="html-italic">OsUBC7</span>. (<b>A</b>) 11 SNPs of <span class="html-italic">OsUBC7</span> in the 354 accessions of the Rice Diversity Panel 1 correlate with low-temperature seedling survivability (LTSS) scores. Two-week-old seedlings of the 354 accessions were exposed to constant 10 °C for 7 days and allowed to recover at warm temperatures for 7 days (28/25 °C day/night), after which LTSS was determined. (<b>B</b>) Haplotype analysis of <span class="html-italic">OsUBC7</span> using RiceVarMap [<a href="#B33-genes-16-00066" class="html-bibr">33</a>] data from a population of 4402 rice accessions. (<b>C</b>) Haplotype–LTSS correlation analysis based on three major haplotypes of mentioned accessions. <span class="html-italic">p</span> values for Two-Way ANOVA: (**) <span class="html-italic">p</span> &lt; 0.01; (***) <span class="html-italic">p</span> &lt; 0.001.</p>
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<p>Gene expression of <span class="html-italic">OsUBC7</span> and its paralogs in different rice accessions and different temperature conditions. (<b>A</b>–<b>D</b>) Time series of <span class="html-italic">OsUBC7</span> mRNA abundance in 2-week-old seedlings under warm control and low-temperature exposure (10 °C for <span class="html-italic">aus</span> Kasalath, 4 °C for <span class="html-italic">temperate japonica</span> Krasnodarskij 3352). Four housekeeping genes, 18S ribosomal RNA, <span class="html-italic">OsACT1</span>, <span class="html-italic">OsUBC32</span>, and <span class="html-italic">OsUBQ5</span>, corresponding to panels <b>A</b>, <b>B</b>, <b>C</b>, and <b>D</b>, respectively, were used for normalization. (<b>E</b>,<b>F</b>) mRNA abundance of <span class="html-italic">OsUBC7</span>, <span class="html-italic">OsUBC8</span>, and <span class="html-italic">OsUBC9</span> in leaf tissues of Kasalath and Krasnodarskij 3352 at the 2-week-old seedling stage and in flag leaves at the flowering stage. 18S ribosomal RNA (panel <b>E</b>) and <span class="html-italic">OsACT1</span> (panel <b>F</b>) were used for normalization. (*) <span class="html-italic">p</span> ≤ 0.05, (**) <span class="html-italic">p</span> ≤ 0.01 (Welch’s <span class="html-italic">t</span>-test).</p>
Full article ">Figure 3
<p>Phenotype of <span class="html-italic">OsUBC7</span> overexpression (OE) rice lines and <span class="html-italic">aus</span> Kasalath wild-type (WT) plants. (<b>Top left</b>) Two-week-old seedlings of <span class="html-italic">OsUBC7</span> OE lines and WT plants before cold treatment. (<b>Bottom left</b>) Two-week-old seedlings of <span class="html-italic">OsUBC7</span> OE lines and WT plants after cold treatment and 4 days of recovery. (<b>Top right</b>) <span class="html-italic">OsUBC7</span> OE-1 line and segregated WT-1 plants after 5 days of recovery from cold treatment. (<b>Bottom right</b>) <span class="html-italic">OsUBC7</span> OE line OE-2 and segregated WT-2 plants after 5 days of recovery from cold treatment.</p>
Full article ">Figure 4
<p>Cold stress-related physiological phenotypes of <span class="html-italic">OsUBC7</span> overexpression (OE) transgenic lines and wild-type (WT) plants. (<b>A</b>) Low-temperature seedling survivability (LTSS) of <span class="html-italic">OsUBC7</span> OE and WT rice plants. (<b>B</b>) LTSS of <span class="html-italic">OsUBC7</span> OE Arabidopsis, Col-0 WT, and <span class="html-italic">AtUBC2</span> (<span class="html-italic">OsUBC7</span> homolog) knockout (KO) plants exposed to −3 °C and recovering over a 7-day period. (<b>C</b>) Growth rate before cold treatment of <span class="html-italic">OsUBC7</span> OE and WT rice plants. (<b>D</b>) Growth rate after cold treatment of <span class="html-italic">OsUBC7</span> OE and WT rice plants. (<b>E</b>) Days to third leaf emergence after cold stress. (<b>F</b>) Plant height of 14-day-old <span class="html-italic">OsUBC7</span> OE and WT seedlings. (α, ß, γ, δ) significant difference in OE or <span class="html-italic">AtUBC2</span> KO lines compared to their respective WT plants. <span class="html-italic">p</span> values for Two-Way ANOVA: (*) <span class="html-italic">p</span> &lt; 0.05; (**) <span class="html-italic">p</span> &lt; 0.01; (ns) no significance.</p>
Full article ">Figure 5
<p>Effect of <span class="html-italic">OsUBC7</span> overexpression (OE) in transgenic plants on cold stress-related metabolites. (<b>A</b>) Soluble sugar content in <span class="html-italic">OsUBC7</span> OE rice lines and wild-type (WT) plants. (<b>B</b>) Soluble sugar content in <span class="html-italic">OsUBC7</span> OE Arabidopsis lines, WT Col-0, and <span class="html-italic">AtUBC2</span> knockout (KO) plants. (<b>C</b>) Mean % electrolyte leakage levels in different tissues of <span class="html-italic">OsUBC7</span> OE rice lines and WT plants after cold exposure. (<b>D</b>) Malondialdehyde content in different tissues of <span class="html-italic">OsUBC7</span> OE rice lines and WT plants after cold exposure. (<b>E</b>) Electrolyte leakage in <span class="html-italic">OsUBC7</span> OE Arabidopsis lines and WT plants. (α, ß, γ, δ) significance detected in <span class="html-italic">OsUBC7</span> OE transgenic or <span class="html-italic">AtUBC2</span> KO lines compared to their corresponding WT lines. <span class="html-italic">p</span> &lt; 0.05, Two-Way ANOVA. DAS, day(s) after stress; ns, not significant.</p>
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<p>Effect of <span class="html-italic">OsUBC7</span> overexpression (OE) on leaf cell dimensions and cell density. (<b>A</b>) Leaf tissue of <span class="html-italic">OsUBC7</span> OE and segregated wild-type (WT) lines stained with propidium iodide. (<b>B</b>) Cell density of <span class="html-italic">OsUBC7</span> OE and WT lines. (<b>C</b>) Cell lengths of <span class="html-italic">OsUBC7</span> OE and WT lines. (<b>D</b>) Cell widths of <span class="html-italic">OsUBC7</span> OE and WT lines. <span class="html-italic">p</span>-values for Two-Way ANOVA: (*) &lt; 0.05; (**) &lt; 0.01; (ns) no significance.</p>
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<p>Architecture of the first flag leaf and chlorophyll content of <span class="html-italic">OsUBC7</span> overexpressing (OE) and wild-type (WT) lines. (<b>A</b>) Half-length of the first flag leaf, from the leaf tip to the middle. (<b>B</b>) Width of the first flag leaf. (<b>C</b>) Dry weight of the first flag leaf. (<b>D</b>) Total chlorophyll A content extracted from the entire flag leaf. (<b>E</b>) Total chlorophyll B content extracted from the entire flag leaf. <span class="html-italic">p</span>-values for Two-Way ANOVA: (*) &lt; 0.05; (**) &lt; 0.01; (ns) no significance.</p>
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<p>Yeast two-hybrid assay showing interaction between Gal4-DNA binding domain (BD)-OsUBC7 and Gal4-Activation domain (AD)-E3 ligase fusions of OsRFPH2-12 (<b>Left</b>) and OsHUB1/HUB2 (<b>Right</b>; RING finger domain only). Positive interactions are shown by robust colony growth on quadruple dropout (QDO) selective plates, as seen for OsUBC7::RFPH2-12 and OsUBC7::OsHUB1/HUB2 in rows labeled “P”. A positive control showing interaction between a Gal4-BD-murine P53 fusion (bait) and a Gal4-AD-SV40 large T-antigen fusion (prey) is seen in rows labeled “+”. Negative controls of yeast transformed with the OsUBC7 bait and an empty prey vector (and vice versa) have no growth on QDO selective plates, as shown in rows labeled “–”. Bait and prey plasmids have robust growth on double dropout (DDO) selective plates.</p>
Full article ">
21 pages, 3732 KiB  
Article
Cellular Response of Immune Cells in the Upper Respiratory Tract After Treatment with Cold Atmospheric Plasma In Vitro
by Leonardo Zamorano Reichold, Michael Gruber, Petra Unger, Tim Maisch, Regina Lindner, Lisa Gebhardt, Robert Schober, Sigrid Karrer and Stephanie Arndt
Int. J. Mol. Sci. 2025, 26(1), 255; https://doi.org/10.3390/ijms26010255 - 30 Dec 2024
Viewed by 531
Abstract
Cold atmospheric plasma (CAP) has antimicrobial properties and is also known to stimulate the immune system. These properties could be useful for the development of a novel therapeutic or preventive strategy against respiratory infections in the upper respiratory tract (URT) such as ventilator-associated [...] Read more.
Cold atmospheric plasma (CAP) has antimicrobial properties and is also known to stimulate the immune system. These properties could be useful for the development of a novel therapeutic or preventive strategy against respiratory infections in the upper respiratory tract (URT) such as ventilator-associated pneumonia (VAP) without inducing an immune overreaction. This study investigated the cellular responses of polymorphonuclear neutrophils (PMNs) after exposure to CAP in a three-dimensional (3D) model of the URT. In vitro experiments were conducted using PMNs isolated from human blood to assess cell migration, intracellular production of reactive oxygen species (ROS), NETosis, surface marker expression (CD11b, CD62L, and CD66b), and cell death with live cell imaging and flow cytometry. CAP was applied for 5 min using two distinct modalities: pressurized air plasma with a plasma intensive care (PIC) device and nebulized air plasma (NP) with a new humidity resistent surface microdischarge (SMD) plasma source, both developed by Terraplasma Medical GmbH. There were no significant signs of cell damage or overstimulation with either device under the conditions tested. However, the NP device caused milder effects on PMN functionality compared to the PIC device, but also demonstrated reduced antibacterial efficacy and reactive oxygen/nitrogen species (RONS) production, as analyzed with colorimetric/fluorimetric assay kits. These findings highlight a trade-off between the two CAP modalities, each with distinct advantages and limitations. Further studies are necessary to investigate these effects in the clinical setting and evaluate the long-term safety and efficacy of CAP treatment in the URT. Full article
(This article belongs to the Special Issue Molecular Mechanisms of Biological Effects and Transport Processes)
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Figure 1

Figure 1
<p>(<b>a</b>) The plasma intensive care (PIC) device connected to a 3D model of the upper respiratory tract (URT). Airflow, generated by the flowmeter, is adjustable with the controller between 0.1–1.0 standard liters per minute (slm) and can be monitored on the flow scale. The pressurized air passes through the plasma source (either on or off) and is directed into the URT model through distribution tubes. (<b>b</b>) A prototype of the nebulized air plasma (NP) device is shown connected to the URT model, providing an overview of the setup. Airflow, generated using the same setup technology as the PIC device, is directed through two distribution tubes. The left tube channels the airflow, passing it over a humidity resistent SMD plasma source (power supply either on or off) and through an ozone sensor, while the right tube directs airflow through a nebulizer containing NaCl. The contents of both tubes merge at the tube connector before entering a single tube connected to the URT model. A portion of the nebulized NaCl is diverted through an excess tube to prevent over-humidification of the URT model. (<b>c</b>) The closed 3D URT model displays the recesses at the “throat” and “subglottis” positions, designed to hold petri dishes containing the samples. The same URT model was used for both devices. (<b>d</b>) The opened URT model reveals the anatomical interior of the structure. The tube connecting the devices to the URT model attaches at the mouth opening. The passage for CAP to reach the “subglottis” position is limited at the vocal cord level due to the smaller internal diameter of the conduit.</p>
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<p>Experimental flowchart of the study. In this in vitro study, polymorphonuclear leukocytes (PMNs) were isolated from whole blood and subjected to various treatments for 5 min. The treatments included nebulized air (N), nebulized air plasma (NP), pressurized air (PA), pressurized air plasma (PIC), and a control group (ctrl.) without treatment. The applications were administered at two specific anatomical positions within a 3D URT model: the “throat” and the “subglottis”. Device-specific investigations were conducted to assess the accumulation of reactive oxygen and nitrogen species (RONS) in the fluids used during the experiments, such as blood serum and DPBS containing isolated PMNs, and to evaluate the antibacterial efficacy of the NP and PIC devices using <span class="html-italic">E. coli</span> as a model organism. Subsequent cell biological analyses of the PMNs involved live cell imaging techniques to assess intracellular reactive oxygen species (ROS) using DHR 123, quantify NETosis through DAPI staining, and evaluate cell migration by measuring Track Length (TL) and Track Straightness (TS). In addition, flow cytometry was used to investigate molecular changes in PMNs, focusing on surface antigen expression levels of CD11b, CD62L, and CD66b, as well as on intracellular ROS intensity and cell death using propidium iodide (PI) staining.</p>
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<p>H<sub>2</sub>O<sub>2</sub>, NO<sub>2−</sub>, and NO<sub>3−</sub> in blood serum and isolated PMNs maintained in DPBS. (<b>a</b>–<b>c</b>) A volume of 700 µL of blood serum was treated (ctrl., PA, PIC, N, NP) at both positions (“throat” and “subglottis”) for 5 min (n = 3). (<b>d</b>–<b>f</b>) Isolated PMNs in 700 µL DPBS were treated accordingly. (<b>a</b>,<b>d</b>) Using a H<sub>2</sub>O<sub>2</sub> standard series, a Fluorimetric Hydrogen Peroxide Assay Kit was used to determine H<sub>2</sub>O<sub>2</sub> concentration [µM] in the fluids. (<b>b</b>,<b>e</b>) NO<sub>2−</sub> and (<b>c</b>,<b>f</b>) NO<sub>3−</sub> concentration [nM] in fluids were quantified using a colorimetric Nitrite/Nitrate Assay Kit. Statistical analysis: Ordinary one-way ANOVA with Tukey’s multiple comparison test was done to compare the mean of untreated ctrl. to all treatments at both positions. ** <span class="html-italic">p</span> &lt; 0.01, *** <span class="html-italic">p</span> &lt; 0.001, **** <span class="html-italic">p</span> &lt; 0.0001.</p>
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<p>Decolonization of <span class="html-italic">E. coli</span> using the NP and the PIC device. Colony Forming Units (CFUs) were determined after different treatments (ctrl., N, NP, PA, PIC) at the “throat” and “subglottis” positions in the 3D URT model. Black dotted lines indicate the reduction of two log<sub>10</sub> steps (99%), three log<sub>10</sub> steps (99.9%), and four log<sub>10</sub> steps (99.99%) of viable bacteria. (n = 3, mean ± SD).</p>
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<p>PMN migration was analyzed using live cell imaging. (<b>a</b>) Early Phase Track Length (TL) and (<b>b</b>) Track Straightness (TS) of isolated PMNs was determined after treatments (ctrl., N, NP, PA, PIC) at the positions “throat” and “subglottis” for 5 min (n = 9). Both parameters were evaluated by means of live cell imaging. Statistical analysis: An independent-samples median test was done to compare the median of the untreated ctrl. to all remaining treatments at both positions. Statistical outliers are represented as circles. *** <span class="html-italic">p</span> &lt; 0.001.</p>
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<p>Original optical images as an exemplary presentation of intracellular ROS production and NETosis of PMNs during the migration process, analyzed using live cell imaging. Yellow arrows indicate the same PMN across all images. (<b>a</b>) Phase-contrast image showing migrating PMNs, some with clearly visible pseudopodia (blue arrows). The yellow arrow highlights a PMN that has stopped migrating and adopted a rounded morphology. (<b>b</b>) The same PMN, now stationary, shows increased intracellular ROS concentration, visible as a strong red fluorescent signal. A faint red glow is also discernible in other PMNs (purple arrows), reflecting the baseline intracellular ROS concentration present in all PMNs. (<b>c</b>) After cell rupture and the release of cellular DNA, the PMN displays a distinct blue fluorescent signal, indicating NETosis. No other cells in this image show extracellular DNA release, resulting in a single visible blue signal.</p>
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<p>ROS production of isolated PMNs after different treatments (ctrl., N, NP, PA, PIC) at the positions (“throat” and “subglottis”) for 5 min (n = 10, mean ± SEM) and triggered by either fMLP and TNF-α (<b>a</b>) or PMA (<b>b</b>). The quantification by means of flow cytometry of Rhodamine 123 as an indicator of intracellular ROS production in PMNs was calculated in Artificial Fluorescence Units (AFUs) and finally normalized to the untreated control group (ctrl. set 1). Statistical analysis: Ordinary one-way ANOVA with Tukey’s multiple comparison test was used to compare the normalized untreated ctrl. to all treatments at both positions. **** <span class="html-italic">p</span> &lt; 0.0001.</p>
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<p>Expression levels of surface antigens CD11b (<b>a</b>), CD62L (<b>b</b>), and CD66b (<b>c</b>) of isolated PMNs after different treatments (ctrl., N, NP, PA, PIC) at the positions “throat” and “subglottis” for 5 min (n = 8, mean ± SEM). The quantification of fluorochrome-conjugated antibodies by means of flow cytometry as an indicator of individual surface antigen expression in PMNs was performed in Artificial Fluorescence Units (AFUs) and normalized to the control (ctrl. set 1). Statistical analysis: Ordinary one-way ANOVA with Tukey’s multiple comparison test was used to compare the treatment groups to the corresponding normalized untreated controls. No significant differences were observed between the individual treatments and the corresponding control group.</p>
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<p>Mean cell death rate [%] of PMNs after different treatments (ctrl., N, NP, PA, PIC) at the positions “throat” and “subglottis” for 5 min (n = 10, mean ± SEM). Quantification of dead cells was performed using flow cytometry after PI staining and is presented as the percentage of dead PMNs relative to the total PMNs detected within each treatment group. Statistical analysis: Ordinary one-way ANOVA with Tukey’s multiple comparison test was used to compare the treatment groups to the untreated control (ctrl.). No significant differences were observed between the individual treatment groups and the untreated control (ctrl.).</p>
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<p>3D µ-slides contain three chambers, each flanked by reservoirs on the left and right side. The upper section of the image provides a schematic representation of one-chamber setup. PMNs are pipetted into the right reservoir and migrate through the chambers filled with gel matrix to reach the chemoattractant fMLP in the left reservoir. Throughout the observation period, the live cell imaging camera remains focused on the chambers. The lower section of the image shows a representative enlarged snapshot of a chamber, with individual grey dots representing PMNs.</p>
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11 pages, 1164 KiB  
Article
Cold Plasma Activity Against Biofilm Formation of Prosthetic Joint Infection Pathogens
by Christopher Spiegel, Débora C. Coraça-Huber, Michael Nogler, Rohit Arora and David Putzer
Pathogens 2025, 14(1), 10; https://doi.org/10.3390/pathogens14010010 - 28 Dec 2024
Viewed by 480
Abstract
Periprosthetic joint infections occur in 1–2% of all patients undergoing prosthetic joint surgeries. Although strong efforts have been made to reduce infection rates, conventional therapies like one- or two-stage revisions have failed to lower the infection rates. Cold atmospheric plasma (CAP) has shown [...] Read more.
Periprosthetic joint infections occur in 1–2% of all patients undergoing prosthetic joint surgeries. Although strong efforts have been made to reduce infection rates, conventional therapies like one- or two-stage revisions have failed to lower the infection rates. Cold atmospheric plasma (CAP) has shown promising results in reducing bacterial loads on surfaces. In this study, we aimed to investigate the ability of CAP to reduce the bacterial load on metal surfaces with varying distances and different plasma compositions below a temperature suitable for in vivo applications. Methods: Biofilm was formed with Staphylococcus aureus ATCC 29213 and Staphylococcus epidermidis ATCC 12228 cultures on TMZF discs. Plasma treatments using air plasma and argon plasma were conducted on discs containing the established biofilm while the temperature was measured. During the experiments, the duration and the distance of plasma application varied. Afterwards, colony-forming units were counted. Results: The results of this study showed that air and argon plasma could be considered for applications during surgeries at a 1 cm distance. While air plasma showed the highest efficiency in CFU reduction, the temperature generation due to the presence of oxygen poses a limitation concerning the duration of application. The use of argon as a plasma generator does not show the temperature limitation in correlation to exposure time. The use of air plasma with a distance of 1 cm to the application site and an exposure time of 5 s showed the most effective bacterial reduction while not exceeding tissue-damaging temperatures. Full article
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<p>Plasma treatment within the cold plasma chamber. The chamber guarantees constant controllable experiments using fixed distance control and consistent temperature measurements.</p>
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<p>Preliminary study to evaluate the influence of application distance and exposure time on colony-forming units and temperature development. On the left side with white markers are the colony-forming units, with dependency of application distance and exposure time shown. On the right side of the figure, the temperature during the cold plasma treatment with dependency of distance and exposure time is shown. The treatment during this experiment was conducted with air plasma.</p>
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<p>Colony-forming units under the influence of cold air plasma are marked as black dots at a 1 cm application distance at exposure times from 1 to 5 s. During these procedures, temperatures were measured, marked in white.</p>
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<p>Colony-forming units under the influence of argon cold plasma are marked as black dots at a 1 cm application distance at exposure times from 1, 2, 3, 4, 5, to 10 s. During these procedures temperatures were measured, marked in white.</p>
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<p>Colony-forming units under the influence of argon cold plasma are marked as black dots at a 1 cm application distance at exposure times from 5, 10, 15, and 20 s. During these procedures, temperatures were measured, marked in white.</p>
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25 pages, 4344 KiB  
Article
Screening of Efficient Antifreeze Agents to Prevent Low-Temperature Stress in Vines
by Yali Zhang, Mengyao Han, Langjie Wu, Haoyu Wang, Yanying Liang, Xianhang Wang and Zhumei Xi
Agronomy 2025, 15(1), 48; https://doi.org/10.3390/agronomy15010048 - 27 Dec 2024
Viewed by 426
Abstract
Grapevines are widely cultivated and highly nutritious, making them economically significant among cultivated plants globally. However, important spring temperature fluctuations and frequent frost events in some production areas severely affect grape growth and yield. Therefore, enhancing the cold resistance of grapevines is of [...] Read more.
Grapevines are widely cultivated and highly nutritious, making them economically significant among cultivated plants globally. However, important spring temperature fluctuations and frequent frost events in some production areas severely affect grape growth and yield. Therefore, enhancing the cold resistance of grapevines is of considerable importance for production. This study used the less cold-resistant grape varieties Vitis vinifera cv. Cabernet Sauvignon and Vitis vinifera cv. Chardonnay as test materials. They were treated with the antifreeze agents ‘GuoGuang KangXiu,’ ‘Biogas Liquid’, ‘SenHuo’, and ‘Ice Shield’ for 24 and 48 h before exposure to a low-temperature treatment of −2 °C. Compared to the control (water), all four antifreeze agents significantly reduced the relative conductivity and malondialdehyde content in the tender shoots of both grape varieties, increased the Fv/Fm ratio, enhanced osmotic adjustment substance levels, and improved antioxidant enzyme activity. Moreover, relative conductivity and malondialdehyde content were significantly lower, and the Fv/Fm ratio was higher when the antifreeze agents were applied 24 h before frost compared to 48 h. This suggests that all four antifreeze agents effectively improve grapevine cold resistance, with better results observed when applied 24 h before frost. Additionally, the antifreeze agents significantly increased the soluble solid content in berries and enhanced the levels of anthocyanins, total phenols, total tannins, total flavonoids, and total flavonols in the berries’ skin. They had minimal impact on the fruit set rate, cluster weight, and berries shape index, indicating that these agents can improve berries quality to some extent. Full article
(This article belongs to the Section Horticultural and Floricultural Crops)
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<p>Artificial simulation of frost test temperature curve.</p>
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<p>Effects of freezing treatment at 24 h and 48 h after spraying different antifreeze agents on phenotypes of <span class="html-italic">Vitis vinifera</span> cv. Chardonnay (<b>a</b>) and <span class="html-italic">Vitis vinifera</span> cv. Cabernet Sauvignon (<b>b</b>) Note: The red arrow indicates the browning of the leaves with obvious water stains. The blue arrow indicates the wilting of tender shoots and curling of leaves. Water (CK), Guoguang Kangxiu (GK), Biogas Liquid (BL), SenHuo (SH), and Ice Shield (IS).</p>
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<p>EL (<b>a</b>) and MDA (<b>b</b>) of <span class="html-italic">Vitis vinifera</span> cv. Chardonnay after 24 h and 48 h freezing treatment with four antifreeze sprays. EL (<b>c</b>) and MDA (<b>d</b>) of <span class="html-italic">Vitis vinifera</span> cv. Cabernet Sauvignon after 24 h and 48 h freezing treatment with four antifreeze sprays. Note: water (CK), Guoguang Kangxiu (GK), Biogas Liquid (BL), SenHuo (SH), Ice Shield (IS). Different lowercase letters indicate statistically significant differences (<span class="html-italic">p</span> &lt; 0.05).</p>
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<p>(<b>a</b>) Chlorophyll fluorescence images, (<b>b</b>) Fv/Fm of <span class="html-italic">Vitis vinifera</span> cv. Chardonnay after 24 h and 48 h freezing treatment with four antifreeze sprays; (<b>c</b>) Chlorophyll fluorescence images; and (<b>d</b>) Fv/Fm of <span class="html-italic">Vitis vinifera</span> cv. Cabernet Sauvignon after 24 h and 48 h freezing treatment with four antifreeze sprays. Note: water (CK), Guoguang Kangxiu (GK), Biogas Liquid (BL), SenHuo (SH), Ice Shield (IS). Different lowercase letters indicate statistically significant differences (<span class="html-italic">p</span> &lt; 0.05).</p>
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<p>Osmotic regulatory substances content of <span class="html-italic">Vitis vinifera</span> cv. Chardonnay (<b>a</b>–<b>c</b>) and <span class="html-italic">Vitis vinifera</span> cv. Cabernet Sauvignon (<b>d</b>–<b>f</b>) after 24 h and 48 h freezing treatment with four antifreeze sprays. Note: water (CK), Guoguang Kangxiu (GK), Biogas Liquid (BL), SenHuo (SH), Ice Shield (IS). Different lowercase letters indicate statistically significant differences (<span class="html-italic">p</span> &lt; 0.05).</p>
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<p>Osmotic regulatory substances content of <span class="html-italic">Vitis vinifera</span> cv. Chardonnay (<b>a</b>–<b>c</b>) and <span class="html-italic">Vitis vinifera</span> cv. Cabernet Sauvignon (<b>d</b>–<b>f</b>) after 24 h and 48 h freezing treatment with four antifreeze sprays. Note: water (CK), Guoguang Kangxiu (GK), Biogas Liquid (BL), SenHuo (SH), Ice Shield (IS). Different lowercase letters indicate statistically significant differences (<span class="html-italic">p</span> &lt; 0.05).</p>
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<p>Berries setting rates of different antifreeze spraying treatments for (<b>a</b>) <span class="html-italic">Vitis vinifera</span> cv. Chardonnay and (<b>b</b>) <span class="html-italic">Vitis vinifera</span> cv. Cabernet Sauvignon. Note: water (CK), Guoguang Kangxiu (GK), Biogas Liquid (BL), SenHuo (SH), Ice Shield (IS).</p>
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<p>Effect of different antifreeze spraying treatments on the polyphenol content in the <span class="html-italic">Vitis vinifera</span> cv. Chardonnay (<b>a</b>,<b>c</b>,<b>e</b>,<b>g</b>,<b>i</b>) and <span class="html-italic">Vitis vinifera</span> cv. Cabernet Sauvignon (<b>b</b>,<b>d</b>,<b>f</b>,<b>h</b>,<b>j</b>) peels. Note: water (CK), Guoguang Kangxiu (GK), Biogas Liquid (BL), SenHuo (SH), Ice Shield (IS). Different lowercase letters indicate statistically significant differences (<span class="html-italic">p</span> &lt; 0.05).</p>
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<p>Effect of different antifreeze spraying treatments on the polyphenol content in the <span class="html-italic">Vitis vinifera</span> cv. Chardonnay (<b>a</b>,<b>c</b>,<b>e</b>,<b>g</b>,<b>i</b>) and <span class="html-italic">Vitis vinifera</span> cv. Cabernet Sauvignon (<b>b</b>,<b>d</b>,<b>f</b>,<b>h</b>,<b>j</b>) peels. Note: water (CK), Guoguang Kangxiu (GK), Biogas Liquid (BL), SenHuo (SH), Ice Shield (IS). Different lowercase letters indicate statistically significant differences (<span class="html-italic">p</span> &lt; 0.05).</p>
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23 pages, 9541 KiB  
Article
Experimental Study on Concentration and Size Distribution Characteristics of Particulate Matter in Cold and Hot Rolling
by Yanpeng Wu, Meitong Jin, Xiaoyu Li, Junkai Tian, Bin Yang, Junliang Liu, Shujun Zhou and Faming Wang
Atmosphere 2025, 16(1), 13; https://doi.org/10.3390/atmos16010013 - 26 Dec 2024
Viewed by 409
Abstract
Workers’ health is jeopardized in steel rolling workshops due to the production of particulate matter. These particles’ physicochemical properties have a direct impact on their effects on human health, emphasizing the importance of understanding these properties for exposure control. This study investigated particulate [...] Read more.
Workers’ health is jeopardized in steel rolling workshops due to the production of particulate matter. These particles’ physicochemical properties have a direct impact on their effects on human health, emphasizing the importance of understanding these properties for exposure control. This study investigated particulate matter emissions in hot and cold steel rolling workshops, focusing on mass concentrations, particle size distributions, and elemental compositions. The findings revealed that particles predominantly range from 0.3 to 1.0 μm in size, with irregular block-like and fibrous morphologies. Elemental analysis showed distinct compositions: the main components in the hot rolling workshop were oxygen, calcium, silicon, carbon, and iron while those in the cold rolling workshop were oxygen, silicon, aluminum, carbon, and iron. The particulate matter concentrations were higher in the hot rolling workshop than in the cold rolling workshop. The Rosin–Rammler particle size distribution function was applied to characterize particle size distribution at emission sources. This paper highlights the dynamic variations and spatial distribution patterns of particulate matter during rolling processes, providing key data for understanding particulate matter behavior in industrial environments and informing targeted pollution control strategies. Full article
(This article belongs to the Special Issue Air Pollution in China (3rd Edition))
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<p>Hot rolling workshop. (<b>a</b>) Internal equipment layout diagram of the workshop. (<b>b</b>) Dust hood.</p>
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<p>Cold rolling workshop. (<b>a</b>) Workshop interior equipment distribution diagram. (<b>b</b>) Dust hood.</p>
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<p>Layout of measurement point. (<b>a</b>) Hot rolling workshop. (<b>b</b>) Cold rolling workshop.</p>
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<p>SEM morphology images of samples collected from the hot rolling workshop. (<b>a</b>) Fibrous shape. (<b>b</b>) Blocky shape.</p>
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<p>SEM morphology images of samples collected from the cold rolling workshop. (<b>a</b>) Fibrous shape. (<b>b</b>) Blocky shape.</p>
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<p>Variation in particulate matter concentration at measurement points in the hot rolling workshop. (<b>a</b>) Point 1. (<b>b</b>) Point 2. (<b>c</b>) Point 3. (<b>d</b>) Point 4. (<b>e</b>) Point 5. (<b>f</b>) Point 6. (<b>g</b>) Point 7. (<b>h</b>) Point 8. (<b>i</b>) Point 9.</p>
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<p>Variation in particulate matter concentration at measurement points in the hot rolling workshop. (<b>a</b>) Point 1. (<b>b</b>) Point 2. (<b>c</b>) Point 3. (<b>d</b>) Point 4. (<b>e</b>) Point 5. (<b>f</b>) Point 6. (<b>g</b>) Point 7. (<b>h</b>) Point 8. (<b>i</b>) Point 9.</p>
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<p>Variation in particulate matter concentration at measurement points in the cold rolling workshop. (<b>a</b>) Point 1. (<b>b</b>) Point 2. (<b>c</b>) Point 3. (<b>d</b>) Point 4.</p>
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<p>Numbers of oil particles with different diameters at various measurement points. (<b>a</b>) Point 1. (<b>b</b>) Point 2. (<b>c</b>) Point 3. (<b>d</b>) Point 4. (<b>e</b>) Point 5. (<b>f</b>) Point 6. (<b>g</b>) Point 7. (<b>h</b>) Point 8. (<b>i</b>) Point 9.</p>
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<p>Numbers of oil particles with different diameters at various measurement points. (<b>a</b>) Point 1. (<b>b</b>) Point 2. (<b>c</b>) Point 3. (<b>d</b>) Point 4. (<b>e</b>) Point 5. (<b>f</b>) Point 6. (<b>g</b>) Point 7. (<b>h</b>) Point 8. (<b>i</b>) Point 9.</p>
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<p>Variation in concentration of oil-based particles at different measurement points. (<b>a</b>) Point 1. (<b>b</b>) Point 2. (<b>c</b>) Point 3. (<b>d</b>) Point 4.</p>
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24 pages, 1010 KiB  
Article
Mechanism of Exogenous Silicon in Enhancing Cold Stress Tolerance in Solanum lycopersicum L. Seedlings: Insights from Resistance and Quality Indicators
by Fan Zhang, Yihong Zhao, Yuanbo Zhang, Yu Shi, Leiping Hou, Abid Khan, Ruixing Zhang and Yi Zhang
Horticulturae 2025, 11(1), 4; https://doi.org/10.3390/horticulturae11010004 - 24 Dec 2024
Viewed by 335
Abstract
Environmental stress, notably the exposure to low temperatures during the early developmental stages of seedlings, has been identified as a critical determinant impacting the yield and quality of tomato crops cultivated in greenhouses. Silicon (Si), recognized as a beneficial element, is posited to [...] Read more.
Environmental stress, notably the exposure to low temperatures during the early developmental stages of seedlings, has been identified as a critical determinant impacting the yield and quality of tomato crops cultivated in greenhouses. Silicon (Si), recognized as a beneficial element, is posited to mitigate the adverse effects of such stress on plant physiology. This study explores whether exogenous Si fertilizer can effectively alleviate the stress of low temperature and cold damage on tomato plant growth, fruit yield, and quality. Tomato plants were placed under low temperature conditions (6 °C at night, daily average temperature 15 °C), with normal temperature conditions as the control (below 16 °C at night, daily average temperature 28 °C), and two different concentrations of nano Si and ionic Si (50 mg·L−1 and 200 mg·L−1) were sprayed on the leaves, with an equivalent amount of deionized water as the control, for a total of 10 treatments. Relevant indexes were measured to investigate the effects of exogenous Si on tomato resistance, yield, and quality under low-temperature stress. The results show that compared with the control treatment, the plant height, stem diameter, and fresh weight of above-ground and underground parts of tomato seedlings decreased significantly by 46.52%, 42.53%, 28.81%, and 28.97%, respectively, after 15 days of low-temperature stress (p < 0.05), and in order to resist low temperature, the activity of antioxidant enzymes and the content of osmotic adjustment substances were up-regulated in seedlings. Ultimately, low-temperature stress inhibited the morphological growth, nutritional quality, and yield of fruits. Both concentrations of Si application can promote the growth and biomass accumulation of tomato plants under low temperature conditions. Moreover, it significantly ameliorated the osmotic adjustment and antioxidant capacity of the plants, thereby alleviating the low-temperature stress. Under low-temperature stress, 50 mg L−1 ionic Si was the most effective for increasing tomato yield per plant, which was significantly increased by 22.44% compared with the control treatment (p < 0.05). Consequently, the study advocates for the application of 50 mg·L−1 ionic Si fertilizer as a strategy to mitigate the impact of low-temperature stress on tomato plants. Furthermore, the use of nano Si fertilizer has been demonstrated to exert a significant influence on enhancing both the yield and quality of tomatoes, with a 50 mg·L−1 concentration of nano Si fertilizer leading to a notable increase in yield by 20.15% under normal temperature conditions (p < 0.05). These findings are intended to furnish a theoretical foundation and practical direction for advancing research aimed at combating the detrimental effects of low-temperature stress in the context of protected vegetable cultivation. Full article
(This article belongs to the Section Propagation and Seeds)
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<p>Effects of exogenous silicon on MDA and relative conductivity in tomato seedlings under low-temperature stress and normal temperature for 15 d at seedling stage. Note: (<b>A</b>) malondialdehyde content in leaves, (<b>B</b>) malondialdehyde content in roots, (<b>C</b>) relative conductivity in leaves, (<b>D</b>) relative conductivity in roots. NT: normal temperature treatment; LT: low temperature treatment; CK: pure water spray: 50Si: spray 50 mg L<sup>−1</sup> ionic silicon solution; 200Si: spray 200 mg L<sup>−1</sup> ionic silicon solution; 50NP: spray 50 mg L<sup>−1</sup> nano silicon solution; 200NP: spray 200 mg L<sup>−1</sup> nano silicon solution. The data reported are the mean of replicates and error bars represent standard deviation (n = 3). Different lowercase letters in the legends indicate significant differences among treatments (<span class="html-italic">p</span> &lt; 0.05), the same below.</p>
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<p>Effects of exogenous silicon on osmoregulatory substance content in tomato seedlings under low-temperature stress and normal temperature for 15 d at seedling stage. Note: (<b>A</b>) soluble protein content in leaves, (<b>B</b>) soluble protein content in roots, (<b>C</b>) soluble sugar content in leaves, (<b>D</b>) soluble sugar content in roots, (<b>E</b>) free amino content in leaves, (<b>F</b>) free amino content in roots, (<b>G</b>) proline content in leaves, (<b>H</b>) proline content content in roots. NT: normal temperature treatment; LT: low temperature treatment; CK: pure water spray: 50Si: spray 50 mg L<sup>−1</sup> ionic silicon solution; 200Si: spray 200 mg L<sup>−1</sup> ionic silicon solution; 50NP: spray 50 mg L<sup>−1</sup> nano silicon solution; 200NP: spray 200 mg L<sup>−1</sup> nano silicon solution. The data reported are the mean of replicates and error bars represent standard deviation (n = 3). Different lowercase letters in the legends indicate significant differences among treatments (<span class="html-italic">p</span> &lt; 0.05).</p>
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14 pages, 4479 KiB  
Article
Proteomic Insights into the Regulatory Mechanisms of the Freezing Response in the Alpine Subnivale Plant Chorispora bungeana
by Hongyin Hu, Zhixing Zhao, Dongdi Ma, Lizhe An, Le Zhao and Xiule Yue
Int. J. Mol. Sci. 2024, 25(24), 13381; https://doi.org/10.3390/ijms252413381 - 13 Dec 2024
Viewed by 494
Abstract
Freezing temperatures impose significant constraints on plant growth and productivity. While cold tolerance mechanisms have been extensively studied in model species, the molecular basis of freezing tolerance in naturally adapted plants remains underexplored. Chorispora bungeana, an alpine plant with a strong freezing [...] Read more.
Freezing temperatures impose significant constraints on plant growth and productivity. While cold tolerance mechanisms have been extensively studied in model species, the molecular basis of freezing tolerance in naturally adapted plants remains underexplored. Chorispora bungeana, an alpine plant with a strong freezing tolerance, provides a valuable model for investigating these adaptive mechanisms. In this study, we used Tandem Mass Tag (TMT)-based quantitative proteomics to analyze C. bungeana seedlings subjected to freezing stress (−6 °C) at 6 and 30 h, identifying 302 differentially expressed proteins (DEPs) compared with controls. Our findings capture the dynamic proteomic landscape of C. bungeana under freezing stress, revealing distinct early and prolonged responses. Early responses featured upregulated proteins involved in signaling and stress protection, with no clear involvement of the ICE1-CBF pathway (ICE1: Inducer of CBF Expression 1; CBF: C-repeat Binding Factor) found in cold-acclimating plants, while calcium signaling and epigenetic modifications enabled a rapid response. Extended exposure involved DEPs in RNA modification, glutamine metabolism, and biosynthesis of polysaccharides and flavonoids, highlighting metabolic adjustments crucial for long-term adaptation. By combining protein–protein interaction (PPI) networks and functional analysis, we identified 54 key proteins validated by qRT-PCR. These findings provide comprehensive insight into freezing tolerance mechanisms, identifying candidate proteins for enhancing cold resilience in crops and mitigating agricultural cold stress impacts. Full article
(This article belongs to the Special Issue Physiology and Molecular Biology of Plant Stress Tolerance)
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<p>The basic statistical results of LC-MS/MS and DEP data. (<b>A</b>) The phenotypic characteristics and natural growth environment of <span class="html-italic">C. bungeana</span>. (<b>B</b>) The basic statistical information of MS data. (<b>C</b>) The volcano plot of DEPs in the ‘Freezing-6 h vs. CK’ comparison. The color gray represents proteins that are not differentially expressed in comparison with the control. The color red represents proteins that are upregulated, and the color blue represents downregulated proteins. (<b>D</b>) The volcano plot of DEPs in the ‘Freezing-30 h vs. CK’ comparison. (<b>E</b>) The Venn plot showed the DEPs in both comparisons and numbers of up- and downregulated DEPs. Red and green arrowheads represent up- and downregulated DEPs, respectively.</p>
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<p>The statistical results of subcellular localization and COGs functional categories of DEPs. (<b>A</b>) Subcellular localization of DEPs in the ‘Freezing-6 h vs. CK’ comparison. The percentage represents the ratio of DEPs located in a specific subcellular structure. (<b>B</b>) Subcellular localization of DEPs in the ‘Freezing-30 h vs. CK’ comparison. (<b>C</b>) The COGs functional categories of DEPs in the ‘Freezing-6 h vs. CK’ comparison. (<b>D</b>) The COGs functional categories of DEPs in the ‘Freezing-30 h vs. CK’ comparison.</p>
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<p>The enrichment analysis of DEPs in different comparisons. (<b>A</b>) GO enrichment analysis of DEPs in the ‘Freezing-6 h vs. CK’ comparison. The red terms represent functions that may be of significant importance that are related to the freezing response in <span class="html-italic">C. bungeana</span>. (<b>B</b>) GO enrichment analysis of DEPs in the ‘Freezing-30 h vs. CK’ comparison. (<b>C</b>) KEGG pathways enrichment analysis of DEPs in the ‘Freezing-6 h vs. CK’ comparison. (<b>D</b>) KEGG pathways enrichment analysis of DEPs in the ‘Freezing-30 h vs. CK’ comparison.</p>
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<p>Protein-protein interaction networks of DEPs from TMT-based proteomics. (<b>A</b>) Interaction network of DEPs in the ‘Freezing-6 h vs. CK’ comparison. (<b>B</b>) Interaction network of DEPs in the ‘Freezing-30 h vs. CK’ comparison.</p>
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<p>Key proteins’ expression and qRT-PCR verification. (<b>A</b>) The overview of key proteins’ function in the freezing response. (<b>B</b>) The heatmap of key DEPs’ quantification in the ‘Freezing-6 h vs. CK’ comparison. (<b>C</b>) The heatmap of key DEPs’ quantification in the ‘Freezing-30 h vs. CK’ comparison. (<b>D</b>) Transcriptional expression of five DEPs in freezing treatments of <span class="html-italic">C. bungeana</span>. Error bars indicate SD (<span class="html-italic">n</span> = 5). Statistical significance was determined using Student’s <span class="html-italic">t</span>-test, with asterisks indicating significant correlations (* <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01 compared with 0 h).</p>
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11 pages, 1984 KiB  
Article
Short-Term Effects of NO2 Exposure on Hospitalization for Chronic Kidney Disease
by Wancheng Zhang, Ye Ruan and Jianglong Ling
Toxics 2024, 12(12), 898; https://doi.org/10.3390/toxics12120898 - 11 Dec 2024
Viewed by 681
Abstract
This study investigates the correlation between short-term exposure to nitrogen dioxide (NO2) and hospitalization for chronic kidney disease (CKD) in Lanzhou, China. A distributed lag nonlinear model (DLNM) was employed to examine the relationship between changes in NO2 concentration and [...] Read more.
This study investigates the correlation between short-term exposure to nitrogen dioxide (NO2) and hospitalization for chronic kidney disease (CKD) in Lanzhou, China. A distributed lag nonlinear model (DLNM) was employed to examine the relationship between changes in NO2 concentration and CKD hospitalizations. Subgroup analyses were conducted to assess the sensitivity of different populations to NO2 exposure. A total of 35,857 CKD hospitalizations occurred from 1 January 2014 to 31 December 2019. The average daily concentration of NO2 was 47.33 ± 17.27 µg/m3. A significant exposure response relationship was observed between changes in NO2 concentration and the relative risk (RR) of CKD hospitalization. At lag0 (the same day) and lag0-1 (cumulative same day and the previous 1 day) to lag0-4 (cumulative same day and the previous 4 days), NO2 exhibited a harmful effect on CKD hospitalizations, with the maximum effect occurring at lag0-1. For every 10 µg/m3 increase in NO2 concentration, the RR of CKD hospitalization was 1.034 [95% confidence interval (CI): 1.017, 1.050]. Subgroup analyses revealed that the adverse effects of NO2 were more pronounced in females and individuals aged ≥65 years. The harmful effects were also more significant during the cold season. In conclusion, short-term NO2 exposure is associated with an increased relative risk of CKD hospitalization. Continuous efforts to improve air quality are essential to protect public health. Full article
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<p>The change in NO<sub>2</sub> daily mean concentration and CKD daily hospitalizations from 2014 to 2019 in Lanzhou, China.</p>
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<p>The exposure–response curves between NO<sub>2</sub> and hospital admissions for CKD (lag0-1). The dashed line indicates the estimated relative risk, RR = 1. The solid line indicates the actual estimate of the risk of hospitalization for CKD from air pollutants. The shaded area indicates the 95% CI of the RR.</p>
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17 pages, 3329 KiB  
Article
Integration of Ontogeny-Based Changes for Predicting the Exposure of Diphenhydramine in the Pediatric Population: A PBPK Modeling Approach
by Ammara Zamir, Muhammad Fawad Rasool, Faleh Alqahtani, Hussain Alqhtani and Tanveer Ahmad
Pharmaceutics 2024, 16(12), 1553; https://doi.org/10.3390/pharmaceutics16121553 - 4 Dec 2024
Viewed by 1080
Abstract
Background: Diphenhydramine is an anti-tussive used periodically to treat seasonal colds, contact dermatitis, and anaphylactic reactions. This study aimed to develop a physiologically based pharmacokinetic (PBPK) model of diphenhydramine in predicting its systemic exposure among healthy pediatrics (children and adolescents) by leveraging data [...] Read more.
Background: Diphenhydramine is an anti-tussive used periodically to treat seasonal colds, contact dermatitis, and anaphylactic reactions. This study aimed to develop a physiologically based pharmacokinetic (PBPK) model of diphenhydramine in predicting its systemic exposure among healthy pediatrics (children and adolescents) by leveraging data files from adults (young and elderly). Methods: The data profiles comprising serum/plasma concentration over time and parameters related to diphenhydramine were scrutinized via exhaustive literature analysis and consolidated in the PK-Sim software version 11.1. This modeling methodology commences with developing an adult model and then translating it to the pediatrics which compares the predicted concentration–time datasets with the reported values. Results: The accuracy of model anticipations was then assessed for each pharmacokinetics (PK) variable, i.e., the area under the curve from 0 to infinity (AUC0-∞), maximal serum/plasma concentration (Cmax), and clearance of the diphenhydramine in plasma (CL) by employing the predicted/observed ratios (Rpre/obs), and average fold error (AFE), which fell within the pre-defined benchmark of 2-fold. The predicted and observed Cmax values for pediatrics were 3-fold greater in comparison to the young adults following a 25 mg dose depicting a need to monitor dosage schedules among children closely. Conclusions: These model-based anticipations confirmed the authenticity of the developed pediatric model and enhanced the comprehension of developmental variations on PK of diphenhydramine. This may assist healthcare professionals in ensuring the significance of lifespan applicability in personalized dose regimens, promoting therapeutic efficacy and minimizing side effects in chronic conditions among children. Full article
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<p>Schematic framework for PBPK model development of DPH in adults and pediatrics PBPK: Physiologically based pharmacokinetic modeling, DPH: Diphenhydramine, ADME: Absorption, distribution, metabolism, and elimination, Log P: Lipophilicity, CYP450: Cytochrome P450 enzymes, VPC: Visual predictive checks, R<sub>pre/obs</sub>: Predicted/observed ratios. The image of the child was incorporated from “Servier Medical Art” <a href="https://smart.servier.com/" target="_blank">https://smart.servier.com/</a> (accessed on 12 November 2024).</p>
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<p>Chemical structure of Diphenhydramine.</p>
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<p>Observed and simulated plasma concentration data files of diphenhydramine with respect to time in young adults after the application of intravenous bolus dose of 50 mg [<a href="#B19-pharmaceutics-16-01553" class="html-bibr">19</a>]. The reported and anticipated data are represented by red circles and solid lines, whereas the range, i.e., minimum and maximum, and 5th to 95th centiles are depicted by dashed and dotted lines, respectively. IV: Intravenous.</p>
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<p>Observed and simulated plasma concentration data files of diphenhydramine with respect to time after application of PO dose of (<b>a</b>,<b>b</b>) 25 mg [<a href="#B21-pharmaceutics-16-01553" class="html-bibr">21</a>] in young men and women, (<b>c</b>) 50 mg [<a href="#B19-pharmaceutics-16-01553" class="html-bibr">19</a>], and (<b>d</b>) 87.9 mg [<a href="#B20-pharmaceutics-16-01553" class="html-bibr">20</a>] among young adults. The reported and anticipated datasets are represented by red circles and solid lines, whereas the range, i.e., minimum and maximum, and 5th to 95th centiles are depicted by dashed and dotted lines, respectively. Standard deviation is portrayed by error bars in the reported data of graph (<b>d</b>).</p>
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<p>Observed and simulated plasma concentration data files of diphenhydramine with respect to time after application of PO dose of (<b>a</b>,<b>b</b>) 25 mg [<a href="#B21-pharmaceutics-16-01553" class="html-bibr">21</a>] in elderly men and women, and (<b>c</b>) 86 mg [<a href="#B20-pharmaceutics-16-01553" class="html-bibr">20</a>] among elderly adults. The reported and anticipated datasets are represented by red circles and solid lines, whereas the range, i.e., minimum and maximum, and 5th to 95th centiles are depicted by dashed and dotted lines, respectively. Standard deviation is portrayed by error bars in the reported data of graph (<b>c</b>).</p>
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<p>Observed and simulated plasma concentration data files of diphenhydramine with respect to time after application of PO dose of (<b>a</b>) 0.556 mg/kg [<a href="#B18-pharmaceutics-16-01553" class="html-bibr">18</a>], (<b>b</b>) 0.807 mg/kg [<a href="#B18-pharmaceutics-16-01553" class="html-bibr">18</a>], (<b>c</b>) 0.930 mg/kg [<a href="#B18-pharmaceutics-16-01553" class="html-bibr">18</a>], in children and adolescents, and (<b>d</b>) 1.25 mg/kg [<a href="#B20-pharmaceutics-16-01553" class="html-bibr">20</a>] in children. The reported and anticipated datasets are represented by red circles and solid lines, whereas the range, i.e., minimum and maximum, and 5th to 95th centiles are depicted by dashed and dotted lines, respectively. Standard deviation is portrayed by error bars in the reported data of graphs (<b>a</b>–<b>d</b>).</p>
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<p>Visual depiction of anticipated AUC<sub>0-∞</sub> with 5th to 95th centile by employing box whisker plots after administering a PO dose of 1 mg/kg in the adult population, and pediatrics of different age ranges as per guidelines of the World Health Organization. PO: Per-oral, AUC<sub>0-∞</sub>: Area under the concentration–time curve from 0-∞.</p>
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<p>Visual depiction for comparison of anticipated AUC<sub>0-∞</sub> with 5th to 95th centile to exhibit the impact of CYP2D6, CYP1A2, CYP2C9, and CYP2C19 by employing box whisker plots after administering PO dose of 1 mg/kg in the adult population, and pediatrics of different age ranges as per guidelines of World Health Organization. The expression of the relevant enzyme is set at zero in (<b>a</b>–<b>d</b>). AUC<sub>0-∞</sub>: Area under the concentration–time curve from 0-∞, CYP450: Cytochrome P450 enzymes.</p>
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<p>Visual depiction of anticipated AUC<sub>0-∞</sub> with 5th to 95th centile by employing box whisker plots after administering a PO dose of 50 mg in a healthy adult population, and their comparison with various stages of chronic kidney disease and liver cirrhosis. AUC<sub>0-∞</sub>: Area under the concentration–time curve from 0-∞.</p>
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9 pages, 872 KiB  
Article
Do Different Next-to-Skin Garments Change Thermal Sensation, Jump Height and Landing Knee Valgus After Cold Exposure?
by Ben Kasehagen, Susan Morris and Kevin Netto
Appl. Sci. 2024, 14(23), 11263; https://doi.org/10.3390/app142311263 - 3 Dec 2024
Viewed by 470
Abstract
Exposure to the cold can negatively affect muscle performance. This study compared the effects of two different full-length, lower body, next-to-skin garments on thermal sensation, countermovement jump (CMJ) height and knee frontal plane angle upon landing following cold exposure against a control. After [...] Read more.
Exposure to the cold can negatively affect muscle performance. This study compared the effects of two different full-length, lower body, next-to-skin garments on thermal sensation, countermovement jump (CMJ) height and knee frontal plane angle upon landing following cold exposure against a control. After familiarisation, 13 male and 11 female recreationally active adults attended three separate laboratory testing sessions where a randomly assigned next-to-skin garment was used (compression, thermal and control (shorts)). A pre- and post-testing protocol comprising CMJ and drop landings interspersed with a sedentary cooling period of 40 min at 0 °C was adopted. High-speed motion analysis and subjective ratings of thermal sensation were recorded. Exposure to the cold significantly reduced thermal sensation (p < 0.001) scores and CMJ height (p < 0.001). Only female participants felt significantly warmer (p ≤ 0.009) in the next-to-skin garments. Losses in CMJ height were significantly reduced by the next-to-skin garments compared to the control with the thermal garment producing better results. There was little change in knee frontal plane angle upon landing in all the garments tested. Ambient cooling at 0 °C for 40 min had a significant effect on CMJ height and thermal sensation but not knee valgus upon landing. Participants in winter sports should consider next-to-skin garments in conjunction with proper warm-ups and re-warming techniques to protect themselves from the negative effects of the cold. Full article
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<p>Garments used in this study: (<b>A</b>) control garment, (<b>B</b>) thermal garment, (<b>C</b>) compression garment.</p>
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<p>Time course of assessed thermal sensation in males (<b>A</b>) and females (<b>B</b>) for different parts of the cooling protocol. € Denotes higher perceived sensation with compression garments than with control garments (<span class="html-italic">p</span> &lt; 0.05). ¥ Denotes higher perceived sensation with thermal garments than with control garments (<span class="html-italic">p</span> &lt; 0.05).</p>
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16 pages, 3113 KiB  
Article
Silymarin-Enriched Extract from Milk Thistle Activates Thermogenesis in a Preclinical Model of High-Fat-Diet-Induced Obesity to Relieve Systemic Meta-Inflammation
by Marina Reguero, Guillermo Reglero, José Carlos Quintela, Ricardo Ramos-Ruiz, Ana Ramírez de Molina and Marta Gómez de Cedrón
Nutrients 2024, 16(23), 4166; https://doi.org/10.3390/nu16234166 - 30 Nov 2024
Viewed by 766
Abstract
Background: Obesity and aging are associated with the progressive loss of brown adipose tissue (BAT), an increase in visceral white adipose tissue (vWAT), and a reduction in subcutaneous white adipose tissue (sWAT). The progressive expansion of visceral obesity promotes a low grade of [...] Read more.
Background: Obesity and aging are associated with the progressive loss of brown adipose tissue (BAT), an increase in visceral white adipose tissue (vWAT), and a reduction in subcutaneous white adipose tissue (sWAT). The progressive expansion of visceral obesity promotes a low grade of systemic chronic inflammation (meta-inflammation), contributing to the onset of comorbidities such as type 2 diabetes mellitus (T2DM), metabolic syndrome, and even cancer. Thus, preserving the thermogenic activity of adipose tissue and improving the metabolic flexibility of sWAT could be an effective strategy to prevent the development of metabolic chronic diseases and promote healthy aging. Precision nutrition has emerged as a complementary approach to control the metabolic alterations associated with unhealthy obesity and aging. In a previous work, we described that a silymarin-enriched extract from milk thistle (Mthistle) increased markers of browning and thermogenesis in vitro in human differentiated adipocytes (SGBS). Objectives/Methods: Therefore, this study aims to evaluate the potential of Mthistle to activate thermogenesis in a preclinical model of high-fat diet (HFD)-induced obesity (DIO). Results: Our results demonstrate that Mthistle increases systemic energy expenditure (EE), preserves body temperature after cold exposure, improves insulin resistance, and reduces inflammatory markers in WAT. Conclusions: Based on these results, silymarin-enriched extract from Mthistle may be proposed as a nutraceutical for the management of metabolic chronic diseases and/or accelerated aging. Full article
(This article belongs to the Section Phytochemicals and Human Health)
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<p>Study workflow and main readouts of this study (insulin and glucose tolerance tests, indirect calorimetry, cold stress exposition, and molecular analysis).</p>
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<p>Effect of Mthistle treatment on glycemia. Graphical representation of the average glucose levels for each experimental group, HFD-control, HFD-Mthistle, and ND, at different times (<b>A</b>) for insulin tolerance test (ITT) and the corresponding area under the curve (AUC), and (<b>B</b>) for the glucose tolerance test (GTT) and the corresponding AUC. (<b>C</b>) Insulin resistance index (HOMA-IR) and (<b>D</b>) fasting insulin levels. Graphs represent the mean ± standard deviation of 6–12 animals per experimental group (ND: N = 6; HFD-Control: N = 10; HFD-Mthistle: N = 11). * <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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<p>Intake and weight variation of each study group. (<b>A</b>) Area under the curve (AUC) of food intake per cage, and (<b>B</b>) weight variation per mouse in ND (N = 6), HFD-control (N = 9), and HFD-Mthistle (N = 10). Graphs represent the mean ± standard deviation per experimental group. ** <span class="html-italic">p</span> &lt; 0.01; *** <span class="html-italic">p</span> &lt; 0.001.</p>
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<p>Graphical representation of the variables measured by indirect calorimetry in metabolic chambers for HFD-control and HFD-Mthistle. Values recorded on the third day for the volume of oxygen (VO<sub>2</sub>) (<b>A</b>), volume of carbon dioxide (VCO<sub>2</sub>) (<b>B</b>), energy expenditure (EE) (<b>C</b>), and activity (<b>D</b>) are represented. Graphs represent the mean ± standard deviation of 8 mice per experimental group, as the metabolic chambers can accommodate only 8 animals per chamber. * <span class="html-italic">p</span> &lt; 0.05.</p>
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<p>Rectal temperature measurements of mice exposed to cold in HFD-Mthistle (N = 8) and HFD-control (N = 7). Graphs represent the mean ± standard deviation per experimental group.</p>
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<p>Gene expression levels of targets related to thermogenesis were measured in different types of adipose tissues—brown (BAT), inguinal white (iWAT), and epididymal white (eWAT)—across ND (N = 4), HFD control (N = 6), and HFD-Mthistle (N = 6) with and without exposure to cold stress. Graphs represent the average of the normalized expression levels relative to the ND group ± SEM per experimental group. * <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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<p>Gene expression levels of inflammatory biomarkers in inguinal white (iWAT) and epididymal white (eWAT) adipose tissues. Gene expression of <span class="html-italic">IL6</span> and interleukin 17A receptor (<span class="html-italic">IL17RA</span>) in eWAT and in iWAT of HFD-control, HFD-Mthistle, and ND, under normal conditions or after exposure to cold stress (72 h at 18 °C followed by 24 h at 4 °C). Graphs represent the average of the normalized expression levels relative to ND ± SEM (ND, N = 4; HFD-Mthistle, N = 6; HFD-control, N = 6). * <span class="html-italic">p</span> &lt; 0.05.</p>
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25 pages, 13761 KiB  
Article
The Potential of a Novel Cold Atmospheric Plasma Jet as a Feasible Therapeutic Strategy for Gingivitis—A Cell-Based Study
by Andreea-Mariana Negrescu, Leonardo Zampieri, Emilio Martines and Anisoara Cimpean
Cells 2024, 13(23), 1970; https://doi.org/10.3390/cells13231970 - 28 Nov 2024
Viewed by 591
Abstract
Due to its antimicrobial, anti-inflammatory and pro-healing properties, the application of cold atmospheric plasma (CAP) has emerged as a new and promising therapeutic strategy in various fields of medicine, including general medicine and dentistry. In this light, the aim of the present study [...] Read more.
Due to its antimicrobial, anti-inflammatory and pro-healing properties, the application of cold atmospheric plasma (CAP) has emerged as a new and promising therapeutic strategy in various fields of medicine, including general medicine and dentistry. In this light, the aim of the present study was to investigate the effects of a homemade plasma jet on the cellular behaviour of two important cell types involved in gingivitis, namely gingival fibroblasts (HGF-1 cell line) and macrophages (RAW 264.7 cell line), by the direct application of CAP in different experimental conditions. The cellular behaviour of the HGF-1 cells was investigated in terms of viability/proliferation (LIVE/DEAD and CCK-8 assays), morphological features (immunofluorescent staining of the actin cytoskeleton) and fibronectin expression (immunocytochemical staining of the fibronectin network), while the macrophages’ response was evaluated through the assessment of the cellular survival/proliferation rate (LIVE/DEAD and CCK-8 assays), morphological behaviour (immunofluorescent staining of the actin cytoskeleton) and inflammatory activity (pro-inflammatory cytokine secretion profile (ELISA assay) and foreign body giant cells (FBGCs) formation (immunofluorescent staining of the actin cytoskeleton and multinuclearity index determination)). The in vitro biological assessment revealed an upward trend dependent on treatment time and number of CAP applications, in terms of fibroblasts proliferation (p < 0.0001) and fibronectin expression (p < 0.0001). On the other hand, the macrophages exposed to five consecutive CAP applications for longer treatment times (over 120 s) exhibited a strong pro-inflammatory activity, as evinced by their altered morphology, pro-inflammatory cytokine profile (p < 0.0001) and FBGCs formation. Overall, our results demonstrate that CAP exposure, when used with appropriate operating parameters, has a beneficial effect on the cellular response of HGF-1 and RAW 264.7 cells, thus paving the way for further in vitro and in vivo investigations that will allow the translation of CAP treatment from research to clinic as an alternative therapy for gingivitis. Full article
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<p>CAP source during cell culture treatment.</p>
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<p>The interpolation of the nitrogen second positive system.</p>
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<p>The survival/proliferation potential of the HGF-1 cells exposed to single/multiple CAP applications, as assessed by (<b>a</b>) the LIVE/DEAD assay at 24 h after the final CAP treatment (live cells: green fluorescence; dead cells: red fluorescence). The size of the scale bar is 200 µm; (<b>b</b>) the CCK-8 technique results at the same time period of 24 h after the final CAP exposure. The results are expressed as means ± SD (n = 3, **** <span class="html-italic">p</span> &lt; 0.0001, *** <span class="html-italic">p</span> &lt; 0.001, ** <span class="html-italic">p</span> &lt; 0.01 and * <span class="html-italic">p</span> &lt; 0.05 vs. TCPS; ●●●● <span class="html-italic">p</span> &lt; 0.0001, ●●● <span class="html-italic">p</span> &lt; 0.001 and ●● <span class="html-italic">p</span> &lt; 0.01 vs. 30 s; ■■■■ <span class="html-italic">p</span> &lt; 0.0001 and ■ <span class="html-italic">p</span> &lt; 0.05 vs. 60 s; ○○○○ <span class="html-italic">p</span> &lt; 0.0001, ○○○ <span class="html-italic">p</span> &lt; 0.001, ○○ <span class="html-italic">p</span> &lt; 0.01 and ○ <span class="html-italic">p</span> &lt; 0.05 vs. 90 s; X <span class="html-italic">p</span> &lt; 0.05 vs. 120 s; # <span class="html-italic">p</span> &lt; 0.05 vs. 180 s). The significance level between the three groups: ♦♦♦♦ <span class="html-italic">p</span> &lt; 0.0001 vs. CAP single treatment; <b>^^^^</b> <span class="html-italic">p</span> &lt; 0.0001 vs. CAP multiple (3x) treatment.</p>
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<p>Effect of single (<b>a</b>)/multiple (<b>b</b>) CAP applications on the HGF-1 cells’ morphology, as assessed through the fluorescent labelling of the cytoskeletal proteins: actin (green fluorescence) and vinculin (red fluorescence). DAPI-labelled nuclei emit blue fluorescence. The size of the scale bar is 50 µm.</p>
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<p>Effect of single (<b>a</b>)/multiple (<b>b</b>) CAP applications on the HGF-1 cells’ morphology, as assessed through the fluorescent labelling of the cytoskeletal proteins: actin (green fluorescence) and vinculin (red fluorescence). DAPI-labelled nuclei emit blue fluorescence. The size of the scale bar is 50 µm.</p>
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<p>(<b>a</b>) Immunofluorescent labelling of the fibronectin network synthesised and organised by the HGF-1 cells exposed to either single or multiple CAP applications (fibronectin network—green fluorescence; nuclei—blue fluorescence). Scale bar represents 50 µm. (<b>b</b>) Fluorescence intensity measurement (n = 10, mean ± SD, **** <span class="html-italic">p</span> &lt; 0.0001, *** <span class="html-italic">p</span> &lt; 0.001, ** <span class="html-italic">p</span> &lt; 0.01 and * <span class="html-italic">p</span> &lt; 0.05 vs. TCPS; ●●●● <span class="html-italic">p</span> &lt; 0.0001, ●●● <span class="html-italic">p</span> &lt; 0.001, ●● <span class="html-italic">p</span> &lt; 0.01 and ● <span class="html-italic">p</span> &lt; 0.05 vs. 30 s; ■■■■ <span class="html-italic">p</span> &lt; 0.0001, ■■ <span class="html-italic">p</span> &lt; 0.01 and ■ <span class="html-italic">p</span> &lt; 0.05 vs. 60 s). The significance level between the three groups: ♦♦♦♦ <span class="html-italic">p</span> &lt; 0.0001 vs. CAP single treatment; <b>^^^^</b> <span class="html-italic">p</span> &lt; 0.0001 vs. CAP multiple (3×) treatment.</p>
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<p>The survival potential of the RAW 264.7 cells exposed to either single or multiple CAP applications, as assessed by the LIVE/DEAD assay at 24 h after the final CAP treatment (live cells—green fluorescence; dead cells—red fluorescence) in both experimental culture conditions: (<b>a</b>) standard culture (−LPS); (<b>b</b>) macrophage activation with 100 ng mL<sup>−1</sup> LPS (+LPS). The size of the scale bar is 200 µm.</p>
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<p>The survival potential of the RAW 264.7 cells exposed to either single or multiple CAP applications, as assessed by the LIVE/DEAD assay at 24 h after the final CAP treatment (live cells—green fluorescence; dead cells—red fluorescence) in both experimental culture conditions: (<b>a</b>) standard culture (−LPS); (<b>b</b>) macrophage activation with 100 ng mL<sup>−1</sup> LPS (+LPS). The size of the scale bar is 200 µm.</p>
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<p>The CCK-8 assay showing the proliferative status of the RAW 264.7 macrophages exposed to either single or multiple CAP applications under both standard (−LPS) and pro-inflammatory (+LPS) conditions (n = 3, mean ± SD, **** <span class="html-italic">p</span> &lt; 0.0001 vs. TCPS; ●●●● <span class="html-italic">p</span> &lt; 0.0001, ●● <span class="html-italic">p</span> &lt; 0.01 and ● <span class="html-italic">p</span> &lt; 0.05 vs. 30 s; ■■■■ <span class="html-italic">p</span> &lt; 0.0001 and ■ <span class="html-italic">p</span> &lt; 0.05 vs. 60 s; ○○○○ <span class="html-italic">p</span> &lt; 0.0001 vs. 90 s; XXXX <span class="html-italic">p</span> &lt; 0.0001 vs. 120 s). The significance level between the three groups: ♦♦♦♦ <span class="html-italic">p</span> &lt; 0.0001 vs. CAP single treatment; <b>^^^^</b> <span class="html-italic">p</span> &lt; 0.0001 vs. CAP multiple (3x) treatment.</p>
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<p>The morphological features exhibited by the RAW 264.7 macrophages after CAP treatment under standard (−LPS) and pro-inflammatory (+LPS) culture conditions (green fluorescence—actin cytoskeleton). The size of the scale bar is 50 µm.</p>
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<p>Quantification of the pro-inflammatory cytokines’ extracellular secretion by the LPS-stimulated RAW 264.7 macrophages (100 ng/mL LPS) subjected to CAP-exposure. ELISA measurement of (<b>a</b>) IL-1β—CAP multiple (3x) treatment (**** <span class="html-italic">p</span> &lt; 0.0001 and *** <span class="html-italic">p</span> &lt; 0.001 vs. TCPS; •••• <span class="html-italic">p</span> &lt; 0.0001 and •• <span class="html-italic">p</span> &lt; 0.01 vs. 30 s; ■■■■ <span class="html-italic">p</span> &lt; 0.0001 and ■■■ <span class="html-italic">p</span> &lt; 0.001 vs. 60 s; ○○○○ <span class="html-italic">p</span> &lt; 0.0001 and ○○○ <span class="html-italic">p</span> &lt; 0.001 vs.90 s; XXXX <span class="html-italic">p</span> &lt; 0.0001 and XX <span class="html-italic">p</span> &lt; 0.01 vs. 120 s; #### <span class="html-italic">p</span> &lt; 0.0001 vs. 180 s). (<b>b</b>) IL-1β—CAP multiple (5x) treatment (**** <span class="html-italic">p</span> &lt; 0.0001 and ** <span class="html-italic">p</span> &lt; 0.01 vs. TCPS; •••• <span class="html-italic">p</span> &lt; 0.0001 and • <span class="html-italic">p</span> &lt; 0.05 vs. 30 s; ■■■■ <span class="html-italic">p</span> &lt; 0.0001 vs. 60 s; ○○○○ <span class="html-italic">p</span> &lt; 0.0001 vs. 90 s; XXXX <span class="html-italic">p</span> &lt; 0.0001 vs. 120 s; #### <span class="html-italic">p</span> &lt; 0.0001 vs. 180 s). (<b>c</b>) IL-6—CAP multiple (3x) treatment (**** <span class="html-italic">p</span> &lt; 0.0001 and * <span class="html-italic">p</span> &lt; 0.05 vs. TCPS; •••• <span class="html-italic">p</span> &lt; 0.0001 and •• <span class="html-italic">p</span> &lt; 0.01 vs. 30 s; ■■■■ <span class="html-italic">p</span> &lt; 0.0001 and ■■ <span class="html-italic">p</span> &lt; 0.05 vs. 60 s; ○○○○ <span class="html-italic">p</span> &lt; 0.0001 and ○○ <span class="html-italic">p</span> &lt; 0.01 vs. 90 s; XXXX <span class="html-italic">p</span> &lt; 0.0001 and X <span class="html-italic">p</span> &lt; 0.05 vs. 120 s; #### <span class="html-italic">p</span> &lt; 0.0001 vs. 180 s). (<b>d</b>) IL-6—CAP multiple (5x) treatment (**** <span class="html-italic">p</span> &lt; 0.0001 and *** <span class="html-italic">p</span> &lt; 0.001 vs. TCPS; •••• <span class="html-italic">p</span> &lt; 0.0001 and •• <span class="html-italic">p</span> &lt; 0.0001 vs. 30 s; ■■■■ <span class="html-italic">p</span> &lt; 0.0001 and ■■ <span class="html-italic">p</span> &lt; 0.01 vs. 60 s; ○○○○ <span class="html-italic">p</span> &lt; 0.0001 and ○○ <span class="html-italic">p</span> &lt; 0.01 vs. 90 s; XXXX <span class="html-italic">p</span> &lt; 0.0001 vs. 120 s; #### <span class="html-italic">p</span> &lt; 0.0001 vs. 180 s). The results are expressed as means ± SD (n = 3).</p>
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<p>Fluorescent images of the multinucleated FBGCs generated through the RAW 264.7 macrophage fusion process after CAP treatment under stimulation with LPS (green fluorescence—actin cytoskeleton; blue fluorescence—nuclei). The size of the scale bar is 50 µm.</p>
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Article
Characterization and Expression Patterns of Heat Shock Protein 70 Genes from Paracoccus marginatus in Response to Temperature and Insecticide Stress
by Yanting Chen, Jianwei Zhao, Mengzhu Shi, Fei Ruan, Jianwei Fu, Wanxue Liu and Jianyu Li
Agriculture 2024, 14(12), 2164; https://doi.org/10.3390/agriculture14122164 - 28 Nov 2024
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Abstract
The objective of this study was to identify the Hsp70s in Paracoccus marginatus and explore their roles in P. marginatus’s resistance to temperature and insecticide stress. The full-length cDNA sequences of PmHsp70s were obtained by PCR cloning and sequencing. The physicochemical and [...] Read more.
The objective of this study was to identify the Hsp70s in Paracoccus marginatus and explore their roles in P. marginatus’s resistance to temperature and insecticide stress. The full-length cDNA sequences of PmHsp70s were obtained by PCR cloning and sequencing. The physicochemical and structural characteristics of PmHsp70s were analyzed, and a phylogenetic tree was constructed. The gene expressions of PmHsp70s were detected using qRT-PCR to explore the impacts of temperature and insecticide stress on P. marginatus. A total of 12 PmHsp70s were identified and cloned. The amino acids encoded by PmHsp70s were found to contain highly conserved regions characteristic of the Hsp70 family. The subcellular localization results showed that the majority of PmHsp70s were located in the cytoplasm. A total of 13 unique conserved motifs were identified for the PmHsp70s, of which 9 were shared motifs. The phylogenetic tree showed that the 12 PmHsp70s could be clustered into five branches, with the closest evolutionary relationship observed with the Phenacoccus solenopsis. The expression of the majority of PmHsp70s was up-regulated in P. marginatus when subjected to heat stress, with the higher expression fold change observed for PmHsp70-9, PmHsp70-11, and PmHsp70-12. The expression of specific PmHsp70s was notably suppressed under cold stress, whereas the expression of others was markedly enhanced. Upon exposure to chlorfenapyr and lambda-cyhalothrin, the expressions of PmHsp70-11 and PmHsp70-12 were significantly up-regulated with the highest expression fold change, respectively. The results revealed the significance of specific PmHsp70s in the resistance of P. marginatus to temperature and insecticide stress. This study improved our understanding of the mechanisms underlying P. marginatus’s adaptive responses to unfavorable environmental conditions. Full article
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Figure 1

Figure 1
<p>Conserved motifs of PmHsp70s in <span class="html-italic">P. marginatus</span>. The PmHsp70 family exhibited a variety of motifs, which are marked by the use of a color box.</p>
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<p>Phylogenetic analysis of Hsp70 from <span class="html-italic">P. marginatus</span> and other insect species based on neighbor-joining method. The classification of the PmHsp70s was based on the number of sub-branches into which they were grouped. The resulting classification was as follows: branch A (PmHsp70-2, PmHsp70-4, PmHsp70-5, PmHsp70-6, and PmHsp70-7), branch B (PmHsp70-9, PmHsp70-11, and PmHsp70-12), branch C (PmHsp70-3 and PmHsp70-10), branch D (PmHsp70-1), and branch E (PmHsp70-8). The different colors represent the different species.</p>
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<p>Expression patterns of <span class="html-italic">PmHsp70s</span> in <span class="html-italic">P. marginatus</span> under temperature stress. The expression of the target gene in <span class="html-italic">P. marginatus</span> at 26 °C was set as the control with a relative expression value = 1. Data are represented as mean ± standard error (SE). Asterisks (*) indicate a statistically significant difference between the control and the treatment (<span class="html-italic">p</span> ≤ 0.05), while double asterisks (**) indicate a highly statistically significant difference between the control and the treatment (<span class="html-italic">p</span> ≤ 0.01).</p>
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<p>Expression patterns of <span class="html-italic">PmHsp70s</span> in <span class="html-italic">P. marginatus</span> under insecticide stress. CK: control; CH: chlorfenapyr; CY: lambda-cyhalothrin. The expression of the target gene in <span class="html-italic">P. marginatus</span> without insecticide treatment was set as the control with a relative expression value = 1. Data are represented as mean ± SE. Asterisks (*) indicate a statistically significant difference between the control and the treatment (<span class="html-italic">p</span> ≤ 0.05), while double asterisks (**) indicate a statistically significant difference between the control and the treatment (<span class="html-italic">p</span> ≤ 0.01).</p>
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