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21 pages, 965 KiB  
Review
The Strategies Used by Animal Viruses to Antagonize Host Antiviral Innate Immunity: New Clues for Developing Live Attenuated Vaccines (LAVs)
by Na Chen and Baoge Zhang
Vaccines 2025, 13(1), 46; https://doi.org/10.3390/vaccines13010046 - 8 Jan 2025
Abstract
As an essential type of vaccine, live attenuated vaccines (LAVs) play a crucial role in animal disease prevention and control. Nevertheless, developing LAVs faces the challenge of balancing safety and efficacy. Understanding the mechanisms animal viruses use to antagonize host antiviral innate immunity [...] Read more.
As an essential type of vaccine, live attenuated vaccines (LAVs) play a crucial role in animal disease prevention and control. Nevertheless, developing LAVs faces the challenge of balancing safety and efficacy. Understanding the mechanisms animal viruses use to antagonize host antiviral innate immunity may help to precisely regulate vaccine strains and maintain strong immunogenicity while reducing their pathogenicity. It may improve the safety and efficacy of LAVs, as well as provide a more reliable means for the prevention and control of infectious livestock diseases. Therefore, exploring viral antagonistic mechanisms is a significant clue for developing LAVs, which helps to explore more viral virulence factors (as new vaccine targets) and provides a vital theoretical basis and technical support for vaccine development. Among animal viruses, ASFV, PRRSV, PRV, CSFV, FMDV, PCV, PPV, and AIV are some typical representatives. It is crucial to conduct in-depth research and summarize the antagonistic strategies of these typical animal viruses. Studies have indicated that animal viruses may antagonize the antiviral innate immunity by directly or indirectly blocking the antiviral signaling pathways. In addition, viruses also do this by antagonizing host restriction factors targeting the viral replication cycle. Beyond that, viruses may antagonize via regulating apoptosis, metabolic pathways, and stress granule formation. A summary of viral antagonistic mechanisms might provide a new theoretical basis for understanding the pathogenic mechanism of animal viruses and developing LAVs based on antagonistic mechanisms and viral virulence factors. Full article
(This article belongs to the Special Issue Viral Infections, Host Immunity and Vaccines)
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<p>The strategies for animal viruses to block antiviral innate immune signaling pathways. Animal viruses have the potential to inhibit interferon production and interferon responses through regulating various steps of antiviral signaling pathways, including PRRs, signaling proteins, transcription factors, and JAK-STAT signaling pathways. Red, blue, green, and light blue are used to represent viral proteins (viruses), microRNAs, proviral host factors, and host restriction factors, respectively.</p>
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13 pages, 2146 KiB  
Article
Curcumin Modulates Platelet Activation and ROS Production Induced by Amyloid Peptides: New Perspectives in Attenuating Prothrombotic Risk in Alzheimer’s Disease Patients
by Serena Rustichelli, Cristina Lanni, Marta Zarà, Gianni Francesco Guidetti, Mauro Torti and Ilaria Canobbio
Nutrients 2024, 16(24), 4419; https://doi.org/10.3390/nu16244419 - 23 Dec 2024
Viewed by 477
Abstract
Background/Objectives: Amyloid peptides, whose accumulation in the brain as senile plaques is associated with the onset of Alzheimer’s disease, are also found in cerebral vessels and in circulation. In the bloodstream, amyloid peptides promote platelet adhesion, activation, oxidative stress, and thrombosis, contributing to [...] Read more.
Background/Objectives: Amyloid peptides, whose accumulation in the brain as senile plaques is associated with the onset of Alzheimer’s disease, are also found in cerebral vessels and in circulation. In the bloodstream, amyloid peptides promote platelet adhesion, activation, oxidative stress, and thrombosis, contributing to the cardiovascular complications observed in Alzheimer’s disease patients. Natural compounds, such as curcumin, are known to modulate platelet activation induced by the hemostatic stimuli thrombin and convulxin. In this study, we investigated the ability of curcumin to modulate platelet activation triggered by amyloid peptides, and we compared its effects with those displayed on platelet activation induced by physiological agonists. Methods: Commercial ultrapure curcumin was used, and platelet aggregation, granule secretion, phosphorylation of selected signaling proteins, and reactive oxygen species production were analyzed on isolated human platelets. Results: Our results demonstrate that curcumin effectively suppressed platelet aggregation induced by fibrillar amyloid peptides. This effect was associated with the reduction in intracellular signaling pathways involving PKC, PI3K, and MAPK. By contrast, platelet aggregation and activation induced by thrombin and convulxin were only partially reduced by preincubation with curcumin. Moreover, curcumin completely suppressed granule secretion only when platelets were stimulated with hemostatic agonists, but it had no effects upon stimulation with amyloid peptides. Additionally, curcumin reduced the production of reactive oxygen species induced by amyloid peptides with a stronger efficiency compared to platelets stimulated with thrombin. Conclusions: These results indicate that curcumin displays selective and potent inhibitory activity on platelet responses to pathological stimuli, such as fibrillar amyloid peptides. Full article
(This article belongs to the Section Nutrition and Metabolism)
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<p>Curcumin reduces platelet aggregation induced by amyloid peptides and hemostatic agonists: (<b>A</b>) (<b>i</b>) Washed human platelets (3 × 10<sup>8</sup> platelets/mL) were preincubated with 25 µM curcumin (red curves) or vehicle (black curve) for 10 min, stimulated with 10 µM fibrillar amyloid peptides Aβ40 and Aβ42 under constant stirring, and their aggregation was monitored. (<b>ii</b>) The histogram shows the mean ± SEM of the % of maximal aggregation in 8 to 10 independent experiments. (<b>B</b>) (<b>i</b>) Washed human platelets were preincubated with increasing concentrations of curcumin (5 to 100 µM) (red curves) or vehicle (black curve) for 10 min at 37 °C and stimulated with 0.04 U/mL thrombin; the respective IC<sub>50</sub> is shown in (<b>ii</b>). Washed human platelets (3 × 10<sup>8</sup> platelets/mL) were preincubated with increased concentrations of curcumin (10 to 50 µM) (red curves) or vehicle (black curve) for 10 min and stimulated with (<b>C</b>) 100 ng/mL convulxin and (<b>D</b>) 0.5 mM U46619, and aggregation was monitored for 5 min. Representative curves are reported in (<b>i</b>). The quantification of maximal aggregation is shown in (<b>ii</b>), as the mean ± SEM of 4 to 5 different experiments; * <span class="html-italic">p</span> &lt; 0.05, *** <span class="html-italic">p</span> &lt; 0.001.</p>
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<p>The effect of curcumin on α granule secretion depends on the platelet agonist: (<b>A</b>) Washed human platelets (1 × 10<sup>8</sup> platelets/mL) labeled with BV421-conjugated anti-human CD62P (P-selectin) antibody were incubated with 25 µM curcumin alone (curcumin) or vehicle (basal). Representative dot plots are reported. (<b>B</b>) Histogram showing the mean ± SEM of the % of P-selectin-positive cells expressed on the plasma membrane in platelets preincubated with 25 µM curcumin and stimulated with 20 µM amyloid peptides Aβ40 and Aβ42 for 15 min. (<b>C</b>) Washed human platelets were preincubated with curcumin 25 µM for 10 min and stimulated with 0.1 U/mL thrombin or 100 ng/mL convulxin for 15 min at 37 °C. Data are expressed as the mean ± SEM of the % of P-selectin-positive cells; ** <span class="html-italic">p</span> &lt; 0.01, *** <span class="html-italic">p</span> &lt; 0.001.</p>
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<p>Curcumin suppressed the phosphorylation of signaling proteins in platelets stimulated with fibrillar amyloid peptides: Washed human platelets (1 × 10<sup>9</sup> platelets/mL) were preincubated for 10 min with 25 µM curcumin and then stimulated with 10 µM fibrillar Aβ40 and Aβ42; 20 µL samples of platelet lysates were analyzed via immunoblotting with specific phospho-antibodies. Representative immunoblotting results are shown in (<b>i</b>). (<b>A</b>) Phosphorylation of PKC substrates; (<b>B</b>) phosphorylation of Akt (S473) and GSK3α/β (S21/9); (<b>C</b>) phosphorylation of ERK1/2 (T202/Y204) and p38 MAPK (T180/Y182). Pleckstrin and tubulin were used for equal loading controls. The histograms in (<b>ii</b>) show the mean ± SEM of 5 to 6 different experiments. Analysis of phosphorylation of selected proteins is compared to basal conditions, set as 1 in each experiment; * <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01.</p>
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<p>Curcumin reduces the phosphorylation of selected signaling proteins in platelets stimulated with thrombin: Washed human platelets (1 × 10<sup>9</sup> platelets/mL) were preincubated for 10 min with 25 µM curcumin at 37 °C and stimulated with 0.04 U/mL thrombin for 5 min. Immunoblotting was performed to assess the phosphorylation of (<b>A</b>) PKC substrates, (<b>B</b>) Akt (S473) and GSK3α/β (S21/9), and (<b>C</b>) Erk1/2 (T202/Y204) and p38 MAPK (T180/Y182), and representative images are shown in (<b>i</b>). Pleckstrin and tubulin were used for equal loading controls. Quantification of phosphorylation of selected proteins is reported in the respective histogram (<b>ii</b>), where phosphorylation in non-stimulated conditions was set as 1. Data are the mean ± SEM of 6 to 12 independent experiments; ** <span class="html-italic">p</span> &lt; 0.01, *** <span class="html-italic">p</span> &lt; 0.001.</p>
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<p>Curcumin inhibits ROS formation: Washed human platelets (1 × 10<sup>8</sup> platelets/mL) were preloaded with 10 µM H<sub>2</sub>DCF-DA for 20 min in the dark, preincubated with vehicle (none) or 25 µM curcumin (curcumin), and stimulated with 0.1 U/mL thrombin. Representative (<b>A</b>) dot plots and (<b>B</b>) curves are shown. Analysis of DCF mean fluorescence intensity (DCF MFI) measured in platelets stimulated with (<b>C</b>) 0.1 U/mL thrombin and 100 ng/mL convulxin, or (<b>D</b>) 25 µM fibrillar Aβ40 and 25 µM fibrillar Aβ42, for 15 min at 37 °C. Data are the mean ± SEM of 4 to 6 different experiments; ** <span class="html-italic">p</span> &lt; 0.01, *** <span class="html-italic">p</span> &lt; 0.001.</p>
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15 pages, 4298 KiB  
Article
Slurry Transportation Characteristics of Potash Mine Cemented Paste Backfills via Loop Test Processing
by Rongzhen Jin, Xue Wang, Siqi Zhang, Huimin Huo, Jiajie Li and Wen Ni
Processes 2024, 12(12), 2929; https://doi.org/10.3390/pr12122929 - 21 Dec 2024
Viewed by 504
Abstract
This study evaluated the properties and processing of cemented paste backfills (CPBs) for potash mining through loop tests. The CPBs were made with steel slags as the binder, granulated potash tailings as the aggregate, and waste brine water as the liquid phase. The [...] Read more.
This study evaluated the properties and processing of cemented paste backfills (CPBs) for potash mining through loop tests. The CPBs were made with steel slags as the binder, granulated potash tailings as the aggregate, and waste brine water as the liquid phase. The effects of solid concentration and steel slag dosage on the transport and mechanical properties of CPBs were assessed. The loop test demonstrated that all CPB slurries performed well, exhibiting strong long-distance pipeline transport capabilities. The 28-day compressive strength of the backfills exceeded 1 MPa, meeting the design requirements for backfill strength. The key rheological parameters, including yield stress (τ0) and viscosity coefficient (η), were comprehensively and theoretically analyzed based on the variations in pressure loss per unit distance of the filling slurry measured during the loop test. The empirical formulas for CPB pressure loss, accounting for varying flow rates and pipeline diameters, were derived with an error margin under 2%. The response surface analysis showed that the affecting extents of factors on pressure loss in CPB slurry were ranked as follows: solid concentration > cementing agent content > flow rate. This study offered valuable guidance for the processing of potash mine backfill operations. Full article
(This article belongs to the Special Issue Advanced Materials for Sustainable and Green Sample Preparation)
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<p>Force analysis of the potash mine backfilling slurry in the pipeline.</p>
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<p>XRD pattern of steel slag powder.</p>
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<p>Steel slag powder particle-size distribution results.</p>
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<p>Particle size distributions of potash mine tail salt particles before and after grinding.</p>
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<p>Fluidity results of CPB with different proportions (ss: steel slag content; co: solid concentration).</p>
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<p>Slump results of CPB with different proportions (ss: steel slag content; co: solid concentration).</p>
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<p>Compressive strength test results of cemented potash backfill materials with different proportions after 28 days of curing (ss: steel slag content; co: solid concentration).</p>
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<p>Effect of slurry flow velocity on pressure loss of CPBs.</p>
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<p>The relationship between the <span class="html-italic">τ</span> and the <span class="html-italic">S<sub>r</sub></span>.</p>
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<p>Effect of pipe diameter on slurry pressure loss under different flow conditions.</p>
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<p>Effect of flow rate on pressure loss in slurries with varying proportions.</p>
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<p>Multi-factor response surface analysis at (<b>a</b>) solid concentration of 70% and (<b>b</b>) flow rate of 2.0 m/s.</p>
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22 pages, 27347 KiB  
Article
Chronic Oxidative Stress and Stress Granule Formation in UBQLN2 ALS Neurons: Insights into Neuronal Degeneration and Potential Therapeutic Targets
by Ao Gu, Yiti Zhang, Jianfeng He, Mingri Zhao, Lingjie Ding, Wanxi Liu, Jianing Xiao, Jiali Huang, Mujun Liu and Xionghao Liu
Int. J. Mol. Sci. 2024, 25(24), 13448; https://doi.org/10.3390/ijms252413448 - 15 Dec 2024
Viewed by 633
Abstract
The pathogenesis of neurodegenerative diseases results from the interplay between genetic and environmental factors. Aging and chronic oxidative stress are critical contributors to neurodegeneration. UBQLN2, a ubiquitin-related protein, aids in protein degradation and protects against oxidative stress. In ALS neurons harboring UBQLN2 mutations, [...] Read more.
The pathogenesis of neurodegenerative diseases results from the interplay between genetic and environmental factors. Aging and chronic oxidative stress are critical contributors to neurodegeneration. UBQLN2, a ubiquitin-related protein, aids in protein degradation and protects against oxidative stress. In ALS neurons harboring UBQLN2 mutations, oxidative stress accelerates pathological changes, yet the precise mechanisms remain unclear. Using induced motor neurons (iMNs) derived from UBQLN2 P497H iPSCs, we observed ALS-like phenotypes, including TDP-43 mislocalization, increased cell death, and reduced viability. Sodium arsenite (SA)-induced oxidative stress triggered stress granule formation, while autophagy dysfunction exacerbated neuronal degeneration. CHX and bosutinib treatments reduced ubiquitinated protein accumulation and alleviated degeneration, highlighting potential therapeutic pathways. These findings emphasize the role of chronic oxidative stress and stress granule formation in UBQLN2 ALS, offering insights into novel therapeutic targets. Full article
(This article belongs to the Special Issue Molecular Research on the Neurodegenerative Diseases)
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<p>Establishment and Characterization of P497H-NIL-iMN. (<b>A</b>) Schematic diagram of the differentiation principle: Dox induction of NIL gene expression drives the differentiation of NIL-iPSCs into NIL-iMNs; (<b>B</b>) P497H-NIL-iMN differentiation process: representative images from day 0, day 1, day 3, and day 7. Scale bar: 100 μm; (<b>C</b>) immunofluorescence detection of motor neuron markers in P497H-NIL-iMNs: cells at day 4 of differentiation were stained with anti-HB9, SMI32, and CHAT antibodies. Scale bar: 100 μm; (<b>D</b>) dynamic expression of motor neuron markers HB9 and CHAT in P497H-NIL-iMNs (<span class="html-italic">n</span> = 3): expression levels were measured in iPSCs/iMNs at day 0 (before Dox induction), and at days 2, 14, and 21 after differentiation. Data are means ± SEM. ** <span class="html-italic">p</span> &lt; 0.01, *** <span class="html-italic">p</span> &lt; 0.001. Statistics by one-way analysis of variance (ANOVA).</p>
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<p>ALS-Related pathology in UBQLN2 mutant motor neurons. (<b>A</b>) Immunofluorescence analysis of TDP-43 localization in day 14 iMNs: under physiological conditions, TDP-43 is localized in the nucleus, while pathological conditions show TDP-43 mislocalization to the cytoplasm. Arrows indicate TDP-43 mislocalization in P497H-NIL-iMNs. Scale bar: 50 μm; (<b>B</b>,<b>C</b>) representative images and statistical analysis of neuronal soma size in WT-iMN2 and P497H-iMN at day 21 of differentiation (<span class="html-italic">n</span> &gt; 25). Scale bar: 100 μm; (<b>D</b>,<b>E</b>) Calcein/PI analysis of cell viability in WT-iMN2 and P497H-iMN (<span class="html-italic">n</span> = 3): Calcein AM generates strong green fluorescence in live cells containing esterases, while PI stains the nuclei of cells with compromised membrane integrity. Scale bar: 100 μm; (<b>F</b>) ATP cell viability analysis of iMNs at days 14 and 7 (<span class="html-italic">n</span> ≥ 5): iMNs were differentiated in two 96-well plates, and ATP levels were measured at days 7 and 14 to assess the rate of decline in cell viability; (<b>G</b>) LDH release rate analysis: media and cell lysates from WT-iMN2 and P497H-iMN were collected at the indicated time points after complete media replacement 3 days prior, and LDH release rates were calculated (<span class="html-italic">n</span> ≥ 5). Data are means ± SEM. ns means “no significance”, * <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. Statistics by Mann–Whitney tests in (<b>C</b>), Student’s <span class="html-italic">t</span> tests in (<b>E</b>,<b>G</b>), and one-way ANOVA in (<b>F</b>).</p>
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<p>Oxidative stress and neuropathology in P497H-iMNs. (<b>A</b>,<b>B</b>) Examination of axonal damage in P497H-iMNs: iMN morphology was recorded on day 14 using microscopy. Arrows indicate axonal swelling. Scale bar: 20 μm. Quantification of axonal swelling was performed by counting the number of swollen vesicles per 100 µm of axon across at least 3 fields, with a minimum of 5 axonal segments per field. (<b>C</b>) ROS levels in iMNs were measured using DCFH-DA, with at least 4 replicates per group. (<b>D</b>,<b>E</b>) Western blot analysis of p-eIF2α levels in iMN day 14 lysates, with quantification (<span class="html-italic">n</span> = 3). (<b>F</b>,<b>G</b>) Immunofluorescence detection and quantification of stress granules (SGs) in iMNs: cells were treated with 0.5 mM sodium arsenite (SA) for 45 min, and SGs were detected using G3BP1 as a marker. Scale bar: 10 μm. (<b>H</b>) Assessment of chronic oxidative stress on axonal pathology: iMNs were treated with varying concentrations of SA on day 7. Axon morphology was recorded after 48 h using light microscopy. Arrows indicate axonal swelling/fragmentation. Scale bar: 50 μm. Data are means ± SEM. ** <span class="html-italic">p</span> &lt; 0.01, *** <span class="html-italic">p</span> &lt; 0.001. Statistics by Student’s <span class="html-italic">t</span> test in (<b>B</b>,<b>E</b>,<b>G</b>) and one-way ANOVA in (<b>C</b>).</p>
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<p>Impaired axonal lysosomal transport in neurons due to oxidative stress and UBQLN2 mutation. (<b>A</b>) Lysosomal labeling using LysoTracker-Red: maximum intensity projection visualized organelle movement trajectories within axons. Continuous, long trajectories indicate moving lysosomes, while discrete points highlight stationary organelles. Scale bar: 10 μm; (<b>B</b>) kymograph analysis to establish space-time plots: inclined lines represent moving lysosomes, and vertical lines indicate stationary organelles. Scale bar: 10 μm; (<b>C</b>) statistical analysis of the proportion of motile lysosomes in motor neurons: lysosomal movement in axons was quantified, with vesicles moving more than 20 μm during the observation period defined as motile lysosomes. At least 5 fields per group were analyzed, with vesicle count <span class="html-italic">n</span> &gt; 250. Data are means ± SEM. ** <span class="html-italic">p</span> &lt; 0.01. Statistics by one-way ANOVA.</p>
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<p>CHX inhibits SGs and cell death in HeLa cells. (<b>A</b>) HeLa cells expressing G3BP1-GFP were subjected to chronic oxidative stress induced by 20 μM SA and treated with 5 μM CHX and 5 μM MG132. G3BP1 aggregation indicating SGs was detected by fluorescence microscopy 48 h later. Arrows indicate SG-positive cells. Scale bar: 100 μm; (<b>B</b>,<b>C</b>) Calcein/PI analysis of cell viability in HeLa cells under the same treatment conditions, with statistical analysis of the results (<span class="html-italic">n</span> = 3). Scale bar: 20 μm; (<b>D</b>,<b>E</b>) Western blot analysis of HeLa cell lysates under the same treatment conditions (<span class="html-italic">n</span> ≥ 3); (<b>F</b>,<b>G</b>) Western blot and statistical analysis of poly-ubiquitin levels (<span class="html-italic">n</span> = 3). Data are means ± SEM. * <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, **** <span class="html-italic">p</span> &lt; 0.0001; ns, nonsignificant. Statistics by one-way ANOVA in (<b>C</b>,<b>G</b>) and two-way ANOVA in (<b>E</b>).</p>
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<p>CHX rescues motor neuron degeneration. (<b>A</b>,<b>B</b>) iMNs at day 11 were treated with different concentrations of SA to induce oxidative stress, followed by treatment with 5 μM CHX. Neuronal morphology was examined 48 h later, and the ratio of degenerated axons was statistically analyzed (<span class="html-italic">n</span> ≥ 3). Scale bar: 25 μm; (<b>C</b>,<b>D</b>) Calcein/PI analysis of cell viability in iMNs 72 h after the same treatment, with statistical analysis (<span class="html-italic">n</span> = 3). Arrows indicate axonal degeneration. Scale bar: 25 μm. Data are means ± SEM. ** <span class="html-italic">p</span> &lt; 0.01, **** <span class="html-italic">p</span> &lt; 0.0001. Statistics by one-way ANOVA in (<b>B</b>), and Student’s <span class="html-italic">t</span> test in (<b>D</b>).</p>
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<p>Effects of CHX and bosutinib on cell viability. (<b>A</b>) iMNs at day 7 were treated with 1 μM CHX and 1 μM bosutinib, and Calcein/PI analysis was performed and imaged at day 14. Scale bar: 100 μm; (<b>B</b>) statistical analysis of the Calcein/PI results (<span class="html-italic">n</span> = 4). Data are means ± SEM. * <span class="html-italic">p</span> &lt; 0.05. Statistics by Student’s <span class="html-italic">t</span> test and one-way ANOVA in (<b>B</b>).</p>
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<p>CHX and bosutinib alleviate ubiquitinated protein accumulation in iMN. (<b>A</b>) Western blot analysis of iMNs (<span class="html-italic">n</span> = 3). iMNs at day 7 were treated with 1 μM CHX or 1 μM bosutinib for 24 h, or 10 μM MG132 for 2 h. Data are means ± SEM. * <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01. Statistics by Student’s <span class="html-italic">t</span> test and one-way ANOVA. (<b>B</b>) Western blot analysis of iPSCs. The WT-iPSC and P497H-iPSC lines were derived as described earlier. The UBQLN2-KO line was generated by knocking out UBQLN2 in WT-iPSCs using CRISPR technology, and the clones were validated by sequencing and Western blot analysis. (<b>C</b>) Potential pathways of UBQLN2 and oxidative stress involvement in neuropathology.</p>
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17 pages, 24651 KiB  
Article
Morphological Alterations and Oxidative Stress Induction in Danio rerio Liver After Short-Term Exposure to the Strobilurin Fungicide Dimoxystrobin
by Rachele Macirella, Abdalmoiz I. M. Ahmed, Federica Talarico, Naouel Gharbi, Marcello Mezzasalma and Elvira Brunelli
Environments 2024, 11(12), 282; https://doi.org/10.3390/environments11120282 - 7 Dec 2024
Viewed by 750
Abstract
Unlike many other fungicides, strobilurins are applied several times during the growing season for prophylactic purposes, thus heightening the risk of environmental contamination. In the EU, the dimoxystrobin approval period lasted for 17 years. It has been classified as moderately toxic to birds [...] Read more.
Unlike many other fungicides, strobilurins are applied several times during the growing season for prophylactic purposes, thus heightening the risk of environmental contamination. In the EU, the dimoxystrobin approval period lasted for 17 years. It has been classified as moderately toxic to birds and highly toxic to earthworms, and it is suspected to be carcinogenic to humans. However, it is still commercialized in several countries. The effects of dimoxystrobin are still largely underexplored, with only three studies reporting sublethal alterations in fish. Here, we evaluated for the first time the effects of dimoxystrobin on zebrafish liver after short-term exposure (96 h) to two sublethal and environmentally relevant concentrations (6.56 and 13.13 μg/L), providing evidence of morphological, functional, and ultrastructural modifications. We revealed severe alterations encompassing three reaction patterns: circulatory disturbance, regressive and progressive changes, which also showed a dose-dependent trend. Furthermore, we revealed that dimoxystrobin induced a significant increase in lipid content, a decrease in glycogen granules and affected the defensive response against oxidative stress through a significant downregulation of SOD and CAT. The information presented here demonstrates that the hazardous properties of dimoxystrobin may result from several pathological events involving multiple targets. Our results also emphasize the importance of the combined use of morphological, ultrastructural and functional investigation in ecotoxicological studies. Full article
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<p>Representative micrographs of <span class="html-italic">Danio rerio</span> liver under basal conditions. (<b>a</b>,<b>b</b>) Light micrographs showing sinusoids (s), veins (v) and bile ducts (bd) scattered in the parenchyma. Note the space of Disse that lies between the hepatocytes and the sinusoidal endothelium (black arrowheads). White arrows = lipid droplets; white arrowheads = glycogen granules; m = macrophages. (<b>c</b>,<b>d</b>) TEM micrographs showing numerous mitochondria (mt), the prominent endoplasmic reticulum (rer), the glycogen granules (white arrowheads) and a few lipid droplets (white arrow) in the cytoplasm of hepatocytes; black arrowheads = space of Disse. (<b>e</b>) Detail of bile duct (bd) enclosed by cuboidal epithelium; note the basal membrane (bm) and the thin layer of connective tissue (ct).</p>
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<p>Representative micrographs of <span class="html-italic">D. rerio</span> liver after exposure to the low concentration of dimoxystrobin. (<b>a</b>–<b>c</b>) Light micrographs showing lysed areas (black asterisks) and the congestion of blood vessels and sinusoids in the liver parenchyma (white asterisks). Note the proliferation of macrophages (m) and numerous necrotic hepatocytes (black arrows). White arrowheads = glycogen granules; white arrows = lipid droplets; white stars = bile duct obstruction. (<b>d</b>) TEM micrograph showing lacunae in the connective tissue surrounding the bile ducts (ct) and the degeneration of cuboidal cells (dc). (<b>e</b>,<b>f</b>) Necrotic cells are characterized by poor, pale-stained cytoplasm and the disorganization of cellular organelles (black arrows). (<b>g</b>) Detail of vessel congestion (white asterisk); note the detachment of the endothelium (ed) and the degeneration of the endothelial cell (hashtag).</p>
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<p>Representative micrographs of <span class="html-italic">D. rerio</span> liver after exposure to the high concentration of dimoxystrobin. (<b>a</b>–<b>c</b>) Light micrographs showing extensively lysed areas (black asterisks) and the proliferation of macrophages in both vessels and liver tissue (m). Note the degeneration of bile ducts (white stars) and the congestion of blood vessels (white asterisk). White arrows = lipid droplets. (<b>d</b>,<b>e</b>) TEM micrographs of necrotic cells showing fragmented rough endoplasmic reticulum (rer) and degenerating mitochondria (double arrows) and nuclei (black stars). (<b>f</b>) Detail of apoptotic cells (ap). (<b>g</b>) Melanomacrophage centers are characterized by a cytoplasm rich in heterogeneous electron-dense granules (mc). (<b>h</b>) Note the degeneration of the bile duct (white star) and the pyknotic nuclei of cuboidal cells (pn).</p>
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<p>The percentage of area occupied by lipid droplets (<b>a</b>) and glycogen granules (<b>b</b>) in <span class="html-italic">Danio rerio</span> liver after exposure to dimoxystrobin. Data are represented as mean ± SD. Asterisks indicate significant differences between the treatment and control groups. Hashtags show significant differences between the high- and low-concentration groups. **** <span class="html-italic">p</span> ≤ 0.0001; #### <span class="html-italic">p</span> ≤ 0.0001.</p>
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<p>Relative gene expression of superoxide dismutase (<b>a</b>) and catalase (<b>b</b>) in <span class="html-italic">Danio rerio</span> liver after exposure to dimoxystrobin. Data are represented as mean ± SD. Asterisks indicate significant differences between the treatment and control groups. Hashtags indicate significant differences between the high- and low-concentration groups. ** <span class="html-italic">p</span> ≤ 0.01; **** <span class="html-italic">p</span> ≤ 0.0001; ### <span class="html-italic">p</span> ≤ 0.001; #### <span class="html-italic">p</span> ≤ 0.0001.</p>
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14 pages, 8444 KiB  
Article
The Nucleocapsid (N) Proteins of Different Human Coronaviruses Demonstrate a Variable Capacity to Induce the Formation of Cytoplasmic Condensates
by Maria A. Tikhomirova, Oleg L. Kuzmenko, Eugene A. Arifulin, Olesya M. Shirokova, Yana R. Musinova and Eugene V. Sheval
Int. J. Mol. Sci. 2024, 25(23), 13162; https://doi.org/10.3390/ijms252313162 - 7 Dec 2024
Viewed by 638
Abstract
To date, seven human coronaviruses (HCoVs) have been identified. Four of these viruses typically manifest as a mild respiratory disease, whereas the remaining three can cause severe conditions that often result in death. The reasons for these differences remain poorly understood, but they [...] Read more.
To date, seven human coronaviruses (HCoVs) have been identified. Four of these viruses typically manifest as a mild respiratory disease, whereas the remaining three can cause severe conditions that often result in death. The reasons for these differences remain poorly understood, but they may be related to the properties of individual viral proteins. The nucleocapsid (N) protein plays a crucial role in the packaging of viral genomic RNA and the modification of host cells during infection, in part due to its capacity to form dynamic biological condensates via liquid–liquid phase separation (LLPS). In this study, we investigated the capacity of N proteins derived from all HCoVs to form condensates when transiently expressed in cultured human cells. Some of the transfected cells were observed to contain cytoplasmic granules in which most of the N proteins were accumulated. Notably, the N proteins of SARS-CoV and SARS-CoV-2 showed a significantly reduced tendency to form cytoplasmic condensates. The condensate formation was not a consequence of overexpression of N proteins, as is typical for LLPS-inducing proteins. These condensates contained components of stress granules (SGs), indicating that the expression of N proteins caused the formation of SGs, which integrate N proteins. Thus, the N proteins of two closely related viruses, SARS-CoV and SARS-CoV-2, have the capacity to antagonize SG induction and/or assembly, in contrast to all other known HCoVs. Full article
(This article belongs to the Section Molecular Microbiology)
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<p>The transient expression of N proteins derived from distinct human coronaviruses resulted in the induction of cytoplasmic biomolecular condensate formation. (<b>A</b>) Representative images of N protein-expressing cells without (upper panels) and with (lower panels) cytoplasmic condensates. N protein—green, DAPI—blue. (<b>B</b>) Cells with large condensates (or aggregates) of N protein following the overexpression of N<sup>SARS-1</sup> and N<sup>SARS-2</sup>. The N protein-containing complexes occupy most of the cytoplasm, with the exception of areas in close proximity to the nucleus. (<b>C</b>) The percentage of cells with cytoplasmic condensates among all cells expressing N proteins of different HCoVs 24 h after transfection. (<b>D</b>) The reduction in the proportion of cells with N protein-containing cytoplasmic condensates 48 h after transfection. Scale bars = 10 μm.</p>
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<p>Processes leading to the disappearance of cells with N protein-containing condensates. (<b>A</b>) A living cell expressing N<sup>MERS</sup> is undergoing apoptosis during the 16 h image acquisition period. (<b>B</b>) A cell expressing N<sup>MERS</sup> demonstrates the persistence of condensates throughout the duration of the live-cell imaging. (<b>C</b>) The N<sup>MERS</sup>-containing condensates gradually dissolve. (<b>D</b>) A cell expressing N<sup>MERS</sup> undergoes mitosis after the dissolution of condensates (this mitosis occurred between 8 and 10 h). Similar outcomes were observed following the expression of the N proteins of other HCoVs. (<b>E</b>) Pie charts represent the events observed during the 16 h live-cell imaging of N protein-expressing cells with or without condensates. Cells without condensates either remained unchanged throughout the imaging, divided, or died by apoptosis. In cells with condensates, either a gradual dissolution of the condensates occurred (after which the cell could enter mitosis, i.e., its condition returned to normal), or the cells died by apoptosis. Scale bars = 10 μm.</p>
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<p>Comparative analysis of protein amount among HCoVs N proteins in cell. (<b>A</b>) Total fluorescence measurements in N protein-containing cells without condensates (−) and with condensates (+) 24 h after transfection. (<b>B</b>) Comparison of N protein amount in cells by measuring total fluorescence 24 h and 48 h after transfection. (<b>C</b>) N protein-containing cells were treated with hyperosmotic solutions (300 mM sucrose, 200 mM D-sorbitol, 150 mM NaCl) to induce the formation of condensates by reducing cell volume.</p>
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<p>Translation inhibition of cells with N protein-containing condensates. Cells with condensates are marked with arrowheads, control cells without condensates are marked with arrows. N protein—green, click-labeled translation products—red. Scale bars = 10 μm.</p>
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<p>Detection of RNAs accumulated in N protein-containing condensates by fluorescence in situ hybridization (FISH). Poly-A and 18S rRNA accumulate within the condensates, while 5.8S and 28S rRNAs are preferentially distributed outside the condensates. Scale bars = 1 μm.</p>
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<p>Accumulation of SG marker protein, G3BP1, within N protein-containing condensates. In the merge images (N proteins—green, G3BP1—red), the nuclear contours of cells with condensates were added. Scale bar = 10 μm.</p>
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<p>Ultrastructural organization of cytoplasmic N protein-containing condensates. (<b>A</b>) Correlative light and electron microscopy (CLEM) of N<sup>229E</sup>-protein-containing condensates. The fluorescence, differential interference contrast (DIC), and transmission electron microscopy images were acquired, allowing the identification of N protein-containing condensates (arrows) in ultrathin sections without specific staining. It is noteworthy that the cytoplasm of the cell with condensates is lighter than the cytoplasm of the surrounding cells, which may be associated with the condensation of a significant amount of ribosomal material in the granules. (<b>B</b>–<b>H</b>) Electron microscopy images of condensates containing N<sup>229E</sup> (<b>B</b>), N<sup>NL63</sup> (<b>C</b>), N<sup>HKU1</sup> (<b>D</b>), N<sup>OC43</sup> (<b>E</b>), N<sup>MERS</sup> (<b>F</b>), N<sup>SARS-1</sup> (<b>G</b>), N<sup>SARS-2</sup> (<b>H</b>). Inserts illustrate the organization of the condensate periphery. The boundaries of the condensates are indicated by black lines, the ribosomal particles are indicated with arrowheads. Scale bar = 5 μm (<b>A</b>), 0.5 μm (<b>B</b>–<b>H</b>), 50 nm (inserts in <b>B</b>–<b>H</b>).</p>
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17 pages, 4544 KiB  
Article
Increasing Phosphorus Application Level Alleviated Adverse Effects of Low-Temperature Stress on Antioxidant Metabolism and Carbohydrate Metabolism in Tobacco Seedlings
by Wenzheng Xu, Qiaozhen Liu, Youhua Wang and Zhaohui Wu
Agronomy 2024, 14(12), 2902; https://doi.org/10.3390/agronomy14122902 - 5 Dec 2024
Viewed by 418
Abstract
Low temperature, as a major abiotic stress, impacts the formation of high-quality tobacco seedlings. It is urgent to take appropriate measures to improve the low-temperature tolerance of tobacco seedlings. A hydroponics experiment was conducted with a tobacco cv. Y2001 under 25 °C [...] Read more.
Low temperature, as a major abiotic stress, impacts the formation of high-quality tobacco seedlings. It is urgent to take appropriate measures to improve the low-temperature tolerance of tobacco seedlings. A hydroponics experiment was conducted with a tobacco cv. Y2001 under 25 °C (control temperature) and 10 °C (low-temperature stress). Three phosphorus (P) levels including the traditional P concentration (2 mM PO43−) and higher P levels (3 mM PO43− and 4 mM PO43−) were applied to investigate their effects on antioxidant metabolism and carbohydrate metabolism in low-temperature-stressed tobacco seedlings. The results showed that the low temperature decreased plant height, stem diameter, and biomass of shoots and roots, while the higher P levels promoted plant height and shoot biomass of low-temperature-stressed tobacco seedlings compared to the traditional P level. The leaf net photosynthetic rate (AN) was decreased by the low temperature, while the AN of low-temperature-stressed tobacco leaves was increased by 38.6–61.3% for the higher P levels than the traditional P level. Higher O2 and H2O2 were observed in tobacco leaves exposed to low-temperature stress, damaging the AN, although the low temperature upregulated the expression of encoding superoxide dismutase (NtSOD), peroxidase (NtPOD), and catalase (NtCAT). However, compared with the traditional P level, the higher P levels further upregulated the expression of NtSOD and NtCAT in low-temperature-stressed tobacco leaves to accelerate O2 and H2O2 removal. Higher leaf sucrose content was detected since the low temperature significantly downregulated the expression of NtSuSy, NtCWINV, and NtNINV encoding sucrose synthase, the cell wall, and alkaline invertases, respectively, inhibiting sucrose hydrolysis. Compared with the traditional P level, higher P levels downregulated the expression of NtCWINV in low-temperature-stressed tobacco leaves, further promoting leaf sucrose content. The low temperature downregulated the expression of NtAGP encoding ADP-glucose pyrophosphorylase, NtSSS encoding soluble starch synthase, and NtGBSS encoding granule-bound starch synthase, thereby restricting starch biosynthesis. Additionally, the low temperature upregulated the expression of α-amylase and β-amylase, accelerating starch hydrolysis. These led to a lower starch content in low-temperature-stressed tobacco leaves. The higher P levels further upregulated the expression of α-amylase in low-temperature-stressed tobacco leaves than the traditional P level, further lowering the starch content. Moreover, the leaf soluble sugar content was higher under the low temperature than the control temperature, which helped the tobacco plants resist low-temperature stress. And higher P levels further promoted the soluble sugar content in low-temperature-stressed tobacco leaves compared with the traditional P level, further improving tobacco seedlings’ low-temperature tolerance. Therefore, these results indicated that increasing the P application level can alleviate the adverse impacts of cold stress on antioxidant metabolism and carbohydrate metabolism in tobacco seedlings. Full article
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<p>Effect of different P levels on the net photosynthetic rate (<span class="html-italic">A</span><sub>N</sub>), stomatal conductance (<span class="html-italic">g</span><sub>s</sub>), intercellular CO<sub>2</sub> concentration (<span class="html-italic">C</span><sub>i</sub>), and transpiration rate (<span class="html-italic">T</span><sub>r</sub>) of tobacco seedlings under low-temperature stress. Within each temperature, different letters represent significant differences at <span class="html-italic">p</span> = 0.05. Data are means of 4 replicates. T, P, and T × P mean temperature, P level, and their interaction, respectively. **, *, and ns indicate significant differences at 0.01 and 0.05 and non-significant difference, respectively.</p>
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<p>Effect of different P levels on the content of leaf superoxide anion (O<sub>2</sub><sup>∙−</sup>), hydrogen peroxide (H<sub>2</sub>O<sub>2</sub>), and malonaldehyde (MDA) in tobacco seedlings under low-temperature stress. Within each temperature, different letters represent significant differences at <span class="html-italic">p</span> = 0.05. Data are means of 4 replicates. T, P, and T × P mean temperature, P level, and their interaction, respectively. ** and * indicate significant differences at 0.01 and 0.05, respectively.</p>
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<p>Effect of different P levels on the content of leaf glucose, fructose, sucrose, and starch in tobacco seedlings under low-temperature stress. Within each temperature, different letters represent significant differences at <span class="html-italic">p</span> = 0.05. Data are means of 4 replicates. T, P, and T × P mean temperature, P level, and their interaction, respectively. **, *, and ns indicate significant differences at 0.01 and 0.05 and non-significant difference, respectively.</p>
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<p>Effect of different P levels on the content of leaf soluble sugar in tobacco seedlings under low-temperature stress. Within each temperature, different letters represent significant differences at <span class="html-italic">p</span> = 0.05. Data are means of 4 replicates. T, P, and T × P mean temperature, P level, and their interaction, respectively. ** indicates significant differences at 0.01.</p>
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<p>Effect of different P levels on the expression of the <span class="html-italic">NtSOD</span>, <span class="html-italic">NtPOD</span>, and <span class="html-italic">NtCAT</span> genes encoding superoxide dismutase, peroxidase, and catalase, respectively, in tobacco seedlings under low-temperature stress. Within each temperature, different letters represent significant differences at <span class="html-italic">p</span> = 0.05. Data are means of 4 replicates. T, P, and T × P mean temperature, P level, and their interaction, respectively. ** and ns indicate significant differences at 0.01 and non-significant difference, respectively.</p>
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<p>Effect of different P levels on the expression of the <span class="html-italic">NtSuSy</span>, <span class="html-italic">NtCWINV</span>, and <span class="html-italic">NtNINV</span> genes encoding sucrose synthase, cell wall invertase, and alkaline invertase, respectively, in tobacco seedlings under low-temperature stress. Within each temperature, different letters represent significant differences at <span class="html-italic">p</span> = 0.05. Data are means of 4 replicates. T, P, and T × P mean temperature, P level, and their interaction, respectively. ** and ns indicate significant differences at 0.01 and non-significant difference, respectively.</p>
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<p>Effect of different P levels on the expression of <span class="html-italic">NtAGP</span>, <span class="html-italic">NtSSS</span>, and <span class="html-italic">NtGBSS</span> genes encoding ADP-glucose pyrophosphorylase, soluble starch synthase, and granule-bound starch synthase, respectively, in tobacco seedlings under low-temperature stress. Within each temperature, different letters represent significant differences at <span class="html-italic">p</span> = 0.05. Data are means of 4 replicates. T, P, and T × P mean temperature, P level, and their interaction, respectively. **, *, and ns indicate significant differences at 0.01 and 0.05 and non-significant difference, respectively.</p>
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<p>Effect of different P levels on the expression of genes <span class="html-italic">α-amylase</span> and <span class="html-italic">β-amylase</span> encoding α- and β-amylase, respectively, in tobacco seedlings under low-temperature stress. Within each temperature, different letters represent significant differences at <span class="html-italic">p</span> = 0.05. Data are means of 4 replicates. T, P, and T × P mean temperature, P level, and their interaction, respectively. **, *, and ns indicate significant differences at 0.01 and 0.05 and non-significant difference, respectively.</p>
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<p>Correlation analysis of different indicators. * and ** indicate significant differences at 0.05 and 0.01, respectively.</p>
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<p>A mechanism model of phosphorus concentration affecting carbohydrate metabolism and antioxidant metabolism in tobacco seedlings under low-temperature stress. Increased or decreased parameters are indicated by red “↑” or blue “↓”, respectively.</p>
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22 pages, 3160 KiB  
Review
Stress Granules in Infectious Disease: Cellular Principles and Dynamic Roles in Immunity and Organelles
by Jaewhan Kim and Chang-Hwa Song
Int. J. Mol. Sci. 2024, 25(23), 12950; https://doi.org/10.3390/ijms252312950 - 2 Dec 2024
Viewed by 780
Abstract
Stress granules (SGs) are membrane-less aggregates that form in response to various cellular stimuli through a process called liquid–liquid phase separation (LLPS). Stimuli such as heat shock, osmotic stress, oxidative stress, and infections can induce the formation of SGs, which play crucial roles [...] Read more.
Stress granules (SGs) are membrane-less aggregates that form in response to various cellular stimuli through a process called liquid–liquid phase separation (LLPS). Stimuli such as heat shock, osmotic stress, oxidative stress, and infections can induce the formation of SGs, which play crucial roles in regulating gene expression to help cells adapt to stress conditions. Various mRNAs and proteins are aggregated into SGs, particularly those associated with the protein translation machinery, which are frequently found in SGs. When induced by infections, SGs modulate immune cell activity, supporting the cellular response against infection. The roles of SGs differ in viral versus microbial infections, and depending on the type of immune cell involved, SGs function differently in response to infection. In this review, we summarize our current understanding of the implication of SGs in immunity and cellular organelles in the context of infectious diseases. Importantly, we explore insights into the regulatory functions of SGs in the context of host cells under infection. Full article
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<p>Gene ontology: biological process analysis of SG proteome. The top 10 categories are shown from GO analysis on biological process (GO:BP) of proteins in SGs from five SG proteomes studies [<a href="#B40-ijms-25-12950" class="html-bibr">40</a>,<a href="#B41-ijms-25-12950" class="html-bibr">41</a>,<a href="#B42-ijms-25-12950" class="html-bibr">42</a>,<a href="#B43-ijms-25-12950" class="html-bibr">43</a>,<a href="#B44-ijms-25-12950" class="html-bibr">44</a>]. All five SG proteomes have RNA-related categories, such as RNA splicing and translation, in the top ranks. In the category of proteins related to translation, both negative regulation of translation and positive regulation of translation terms are found. In addition to the RNA-associated terms, proteins, which are involved in basic cellular activities such as cell division, apoptosis, and protein transport, are abundant in SG proteomes. In terms of immunity, SG proteomes contain a certain list of proteins associated with immunity.</p>
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<p>Gene ontology: cellular component analysis of SG proteome. The top 10 categories are shown from GO analysis on the cellular component (GO:CC) of proteins in SGs from five SG proteomes studies [<a href="#B40-ijms-25-12950" class="html-bibr">40</a>,<a href="#B41-ijms-25-12950" class="html-bibr">41</a>,<a href="#B42-ijms-25-12950" class="html-bibr">42</a>,<a href="#B43-ijms-25-12950" class="html-bibr">43</a>,<a href="#B44-ijms-25-12950" class="html-bibr">44</a>]. Over 50% of SG proteins are related to the cytoplasm. Proteins associated with exosomes, which are secreted out of the cells, also account for more than 20% of SG proteins from five SG proteomes. Most interestingly, proteins from other organelles, such as P-body, endoplasmic reticulum, and mitochondria, are also sequestered into SGs, indicating that SGs can actively regulate the activity of specific organelles in stress conditions.</p>
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<p>Gene ontology: molecular function analysis of SG proteome. The top 10 categories are shown from GO analysis on the molecular function (GO:MF) of proteins in SGs from five SG proteomes studies [<a href="#B40-ijms-25-12950" class="html-bibr">40</a>,<a href="#B41-ijms-25-12950" class="html-bibr">41</a>,<a href="#B42-ijms-25-12950" class="html-bibr">42</a>,<a href="#B43-ijms-25-12950" class="html-bibr">43</a>,<a href="#B44-ijms-25-12950" class="html-bibr">44</a>]. More than 80% of SG proteomes have a protein binding function, implying that SG component candidates require specific binding to an SG-entry protein, such as G3BPs, in order to be sequestered into SGs. The second abundant term is RNA binding function, which also supports the underlying mechanisms of protein entry into SGs. Cadherin binding proteins are found in SG proteomes. The role of these proteins is still elusive, but it is likely that they would be involved in the movement or transport of SGs.</p>
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<p>Functional cluster analysis of SGs. The five SG proteomes contain dynamic components [<a href="#B40-ijms-25-12950" class="html-bibr">40</a>,<a href="#B41-ijms-25-12950" class="html-bibr">41</a>,<a href="#B42-ijms-25-12950" class="html-bibr">42</a>,<a href="#B43-ijms-25-12950" class="html-bibr">43</a>,<a href="#B44-ijms-25-12950" class="html-bibr">44</a>]. These SG proteomes have only nine proteins in common, in which the functional annotation cluster of nine proteins well reflects the typical function of SGs. The number of each proteome-specific protein is higher than common proteins, suggesting that cell type, stressors, and various factors have a great influence on the SG components.</p>
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<p>Interaction between SGs and organelles. SGs regulate cell activity through interactions with organelles such as ER, mitochondria, and lysosomes. (1) ER provides a working hub where SGs can be assembled. (2) ER tubule surrounds SGs to induce division. (3) ER determines the fate of mRNA by exchanging mRNA with the SGs. (4) SGs regulate the degree of ER stress by inducing IRE1α clustering. (5) SGs inhibit fat acid oxidization by redirecting fatty acids to lipid droplets. (6) SGs and MAVS on mitochondrial membranes bind to induce anti-virus activity. (7) The activity of mitochondrial UPR induces the formation of SGs, and SGs inhibit normal UPR activity. (8) The damaged lysosomal membrane is restored and stabilized by plugged SGs. (9) SGs hitchhike on lysosomes for long-distance travel to the distal part of the cells.</p>
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16 pages, 4036 KiB  
Article
Decoding the Molecular Grammar of TIA1-Dependent Stress Granules in Proteostasis and Welander Distal Myopathy Under Oxidative Stress
by Isabel Alcalde-Rey, Beatriz Ramos Velasco, José Alcalde and José M. Izquierdo
Cells 2024, 13(23), 1961; https://doi.org/10.3390/cells13231961 - 27 Nov 2024
Viewed by 653
Abstract
T-cell intracellular antigen 1 (TIA1) is an RNA-binding protein (RBP) that plays a multifunctional role in RNA metabolism. TIA1 has three RNA-Recognition Motifs (RRMs) and a prion-like carboxyl C-terminal domain (LCD) with intrinsically disordered regions (IDR) implicated in the dynamics (i.e., formation, assembly, [...] Read more.
T-cell intracellular antigen 1 (TIA1) is an RNA-binding protein (RBP) that plays a multifunctional role in RNA metabolism. TIA1 has three RNA-Recognition Motifs (RRMs) and a prion-like carboxyl C-terminal domain (LCD) with intrinsically disordered regions (IDR) implicated in the dynamics (i.e., formation, assembly, and disassembly) of transient RNA-protein aggregates known as stress granules (SGs). A protein related to TIA1 is its paralog TIA1-related/like protein (TIAR/TIAL1), whose amino acid sequence, structural organisation, and molecular and cellular functions are highly conserved with TIA1. Both proteins are the main components of SGs, which are non-membranous RNA-protein condensates formed under stress to promote cell survival. Welander distal myopathy (WDM) is a late-onset muscular dystrophy that has been linked to a single-nucleotide substitution (c.1362G>A; p.E384K) in the gene encoding the TIA1 protein, which impacts TIA1-dependent SGs dynamics. Herein, we have analysed cellular and molecular aspects by targeting mutagenesis to position 384 to understand its molecular grammar in an amino acid/proteinogenic-dependent or -independent manner under oxidative stress. The observations suggest differential, even opposing, behaviours between TIA1 and TIAR in the presence of specific amino acids with negative and positive charges, and also uncharged acids, at equivalent positions of TIA1 and TIAR, respectively. Collectively, these findings illustrate a characteristic molecular grammar of TIAR- and TIA1-dependent SGs under oxidative conditions, suggesting a gain of versatility between two structurally and functionally highly conserved/related proteins. Full article
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<p>Collection of amino acid variants at position 384 of human TIA1. (<b>A</b>) Schematic 3D structure of the human TIA1 protein with the in silico AlphaFold tool. The image shows the first and the last residues, the RRMs 1-3, and the C-terminal LCD of human TIA1. The encircled area indicates a C-terminal extension with the amino acid at position 384 of TIA1 highlighted in red. (<b>B</b>) Images of automated protein structure prediction and structure-based function annotation of structural models of WT and WDM TIA1 variants. The image series illustrates the WT (upper pictures) and WDM (lower pictures) 3D TIA1 structural models for the top five options estimated by the in silico iTASSER tool [<a href="#B43-cells-13-01961" class="html-bibr">43</a>]. Green and blue structures indicate the RRM 1-3 and the yellow/red one shows the LCD terminal domain. (<b>C</b>) Generation of the entire collection of TIA1 mutants dependent on residue 384. Schematic of the sequence of the last eight amino acid residues of the human TIA1 protein with each of the substitutions (blue bold type), nucleotide triplets (highlighting in bold those containing the substitution/mutation), and the families or categories into which the TIA1 mutants were grouped. The asterisk identifies the nonsense or stop codon. The controls (WT/E) and mutant (WDM/K) are boxed in green. (<b>D</b>) Expression analysis of TIA1 mutants using the Western blot technique. Western blot of protein extracts from HEK-Flp cells transfected with the entire collection of GFP-TIA1 mutants at position 384 with the corresponding substitutions. The monoclonal antibodies used were anti-TIA1, with anti-HuR as a loading control marker. Molecular weight markers (kDa) and proteins identified are indicated on the left and right, respectively.</p>
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<p>Differential dynamics of stress granules dependent on TIA1 variants at position 384. Fluorescence microscopy images of HEK-Flp cells transfected with GFP-TIA1 plasmids and their variants, identified in the legend at the top of this panel. Expression of the GFP-TIA1 fusion protein is shown in green, the G3BP1 antibody in red, and “Merge” corresponds to the combination of the three channels: GFP (green), G3BP1 (red), and To-Pro3 (grey-stained nuclei). The white arrows indicate TIA1-SGs. Images are shown both in the absence and presence of sodium arsenite treatment for each mutation examined. Scale bar, 10 μm.</p>
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<p>Alternative dynamics of stress granules dependent on TIA1 variants at position 384. Fluorescence microscopy images of HEK-Flp cells transfected with GFP-TIA1 plasmids and their variants, identified in the legend at the top of this panel. Expression of the GFP-TIA1 fusion protein is shown in green, the G3BP1 antibody in red, and “Merge” corresponds to a combination of the three channels: GFP (green), G3BP1 (red), and To-Pro3 (grey-stained nuclei). The white arrows illustrate TIA1-SGs. Images are shown both in the absence and presence of sodium arsenite treatment for each mutation examined. Scale bar, 10 μm.</p>
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<p>Quantification of the relative number and size of TIA1 variant-dependent SGs described in <a href="#cells-13-01961-f002" class="html-fig">Figure 2</a> and <a href="#cells-13-01961-f003" class="html-fig">Figure 3</a>. Data represent the mean ± standard error of the mean (n = 18–114 cells for each condition; * <span class="html-italic">p</span> &lt; 0.5; ** <span class="html-italic">p</span> &lt; 0.1; *** <span class="html-italic">p</span> &lt; 0.05).</p>
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<p>Collection of amino acid variants at position 373 of human TIAR. (<b>A</b>) Schematic 3D structure of the human TIAR protein by the in silico AlphaFold tool. The image shows the first and last residues, the RRMs 1–3, and the C-terminal LCD of human TIAR. The encircled area indicates a C-terminal extension with the amino acid located at position 373 in TIAR highlighted in red. (<b>B</b>) Images of automated protein structure prediction and structure-based function annotation of structural models of TIAR<sup>Q</sup> (WT) and TIAR<sup>K</sup> variants. The image series illustrates the WT (upper pictures) and TIAR<sup>K</sup> (lower pictures) 3D TIAR structural models for the top five options estimated by the in silico iTASSER tool. Green and blue structures indicate the RRM 1-3 and the yellow/red one shows the LCD terminal domain. (<b>C</b>) Generation of the collection of TIAR mutants dependent on Q residue. Schematic of the sequence of the last eight amino acid residues of the human TIAR protein with each of the substitutions (blue bold type), and nucleotide triplets (highlighting in bold those containing the substitution/mutation). The asterisk identifies the nonsense or stop codon. Controls (WT/TIAR<sup>Q</sup>) are boxed in green. (<b>D</b>) Expression analysis of TIAR mutants using the Western blot technique. Western blot of protein extracts from HEK-Flp cells transfected with the entire collection of GFP-TIAR mutants with the corresponding substitutions. The monoclonal antibodies used were anti-TIA1, with anti-HuR used as a loading control marker. Molecular weight markers (kDa) and proteins identified are indicated on the left and right, respectively.</p>
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<p>Differential dynamics of stress granules dependent on TIAR variants. (<b>A</b>) Fluorescence microscopy images of HEK-Flp cells transfected with GFP-TIAR and their variants, identified in the legend at the top of this panel. Expression and distribution/location of the GFP-TIAR fusion protein are shown in green, the G3BP1 antibody in red, and “Merge” corresponds to the combination of the three channels: GFP, G3BP1, and To-Pro3 (grey-stained nuclei). The white arrows show TIAR-SGs. Images are shown both in the absence and presence of sodium arsenite treatment for each mutation studied. Scale bar, 10 μm. (<b>B</b>) Quantification of SG number and size under the experimental described in (<b>A</b>). Data represent the mean ± standard error of the mean (n = 10–30 cells for each condition; * <span class="html-italic">p</span> &lt; 0.5; ** <span class="html-italic">p</span> &lt; 0.1; *** <span class="html-italic">p</span> &lt; 0.05).</p>
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<p>Summary of the impact of TIA1 variants at position 384 on the dynamics of TIA1-dependent stress granules. WT represents wild-type TIA1, WDM illustrates TIA1 containing the p.E384K mutation associated with Welander distal myopathy, and P indicates proline residue-associated behaviour, where the number of SGs is much lower, in transfected FT293 cells with TIA1 variants under oxidative stress conditions (sodium arsenite). This figure was created with BioRender.com. [<a href="#B47-cells-13-01961" class="html-bibr">47</a>].</p>
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22 pages, 11317 KiB  
Article
Exploring 3D Printing in Drug Development: Assessing the Potential of Advanced Melt Drop Deposition Technology for Solubility Enhancement by Creation of Amorphous Solid Dispersions
by Nabil Lamrabet, Florian Hess, Philip Leidig, Andreas Marx and Thomas Kipping
Pharmaceutics 2024, 16(12), 1501; https://doi.org/10.3390/pharmaceutics16121501 - 22 Nov 2024
Viewed by 1596
Abstract
Background: Melt-based 3D printing technologies are currently extensively evaluated for research purposes as well as for industrial applications. Classical approaches often require intermediates, which can pose a risk to stability and add additional complexity to the process. The Advanced Melt Drop Deposition (AMDD) [...] Read more.
Background: Melt-based 3D printing technologies are currently extensively evaluated for research purposes as well as for industrial applications. Classical approaches often require intermediates, which can pose a risk to stability and add additional complexity to the process. The Advanced Melt Drop Deposition (AMDD) technology, is a 3D printing process that combines the principles of melt extrusion with pressure-driven ejection, similar to injection molding. This method offers several advantages over traditional melt-based 3D printing techniques, making it particularly suitable for pharmaceutical applications. Objectives: This study evaluates the AMDD printing system for producing solid oral dosage forms, with a primary focus on the thermo-stable polymer polyvinyl alcohol (PVA). The suitability of AMDD technology for creating amorphous solid dispersions (ASDs) is also examined. Finally, the study aims to define the material requirements and limitations of the raw materials used in the process. Methods: The active pharmaceutical ingredients (APIs) indometacin and ketoconazole were used, with PVA 4-88 serving as the carrier polymer. Powders, wet granulates, and pellets were investigated as raw materials and characterized. Dissolution testing and content analyses were performed on the printed dosage forms. Solid-state characterization was conducted using differential scanning calorimetry (DSC) and X-ray diffraction (XRD). Degradation due to thermal and mechanical stress was analyzed using nuclear magnetic resonance spectroscopy (NMR). Results/Conclusions: The results demonstrate that the AMDD 3D printing process is well-suited for producing solid dosage forms. Tablets were successfully printed, meeting mass uniformity standards. Adjusting the infill volume from 30% to 100% effectively controlled the drug release rate of the tablets. Solid-state analysis revealed that the AMDD process can produce amorphous solid dispersions with enhanced solubility compared to their crystalline form. The experiments also demonstrated that powders with a particle size of approximately 200 µm can be directly processed using AMDD technology. Full article
(This article belongs to the Special Issue Impact of Raw Material Properties on Solid Dosage Form Processes)
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<p>Illustration of the AMDD technology. 1. The API and polymer are introduced into the plasticizer barrel. 2. In the heated plasticizer barrel, the polymer–API mixture is melted. 3. A screw mechanism conveys the molten material toward the printing head, generating pressure through its motion. 4. The molten polymer–API mass is directed into the nozzle chamber. 5. The molten polymer–API mixture is then precisely ejected in the form of individual droplets, controlled by a piezo actuator that modulates a nozzle closure mechanism.</p>
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<p>(<b>A</b>): Complex viscosity against temperature. (<b>B</b>): Phase angle δ against temperature; for PVA and PVA/API mixtures, API proportion is 10%, means of n = 3 ± SD.</p>
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<p>(<b>Left</b>): Strand produced with HME pellets containing PVA 4-88 and 10% KTZ; (<b>Right</b>): Determination of FF using five cubes with different FF (20 mm × 20 mm × 4 mm).</p>
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<p>SEM images of 3DP tablets created with HME pellets (variation of infill volume).</p>
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<p>SEM image of a 3DP tablet with 30% infill volume produced with HME pellets.</p>
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<p>Mass distribution of 3DP placebo tablets produced with different intermediates n = 10 (specifications according to Ph. Eur.).</p>
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<p>Mass deviation of 3DP tablets produced with hme pellets and APIs (10%).</p>
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<p>PXRD patterns of the various intermediates and the printed tablets printed from them, (<b>left</b>): PVA with 10% IND, (<b>right</b>): PVA with 10% KTZ.</p>
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<p>DSC thermograms of the crystalline API, the various intermediates (API-PVA combinations with a drug load of 10%), and the tablets printed from these intermediates, also with a drug load of 10%. (<b>Left</b>): PVA with IND; (<b>Right</b>): PVA with KTZ.</p>
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<p>Molecular structure of PVA (<b>left</b>) and the model compound IND (<b>right</b>).</p>
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<p>NMR results of PVA, IND, HME pellets IND (10%), and 3DP tablets of HME pellets.</p>
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<p>NMR results of pure PVA, HME pellets, and 3DP tablets of HME pellets.</p>
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<p>Left: Dissolution profile of 3DP tablets with different infill volumes in 900 mL 0.1 M HCL, Mean value ± SD, n = 3.</p>
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<p>Dissolution profile of 3DP tablets with 10% KTZ in 100 mL FaSSiF (pH = 6.5), Mean Value ± SD, n = 3.</p>
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<p>Dissolution profile of 3DP tablets produced from HME pellets with different infill volumes in 900 mL SGF Mean Value ± SD, n = 3.</p>
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25 pages, 7612 KiB  
Article
Development of Alginate Composite Microparticles for Encapsulation of Bifidobacterium animalis subsp. lactis
by Marko Vinceković, Lana Živković, Elmira Turkeyeva, Botagoz Mutaliyeva, Galiya Madybekova, Suzana Šegota, Nataša Šijaković Vujičić, Anđela Pustak, Tanja Jurkin, Marta Kiš and Sanja Kajić
Gels 2024, 10(11), 752; https://doi.org/10.3390/gels10110752 - 19 Nov 2024
Viewed by 2022
Abstract
The probiotic bacterium Bifidobacterium animalis subsp. lactis BB-12 (BB-12) was encapsulated in two composites, alginate/agar and alginate/agar/casein. The network structure and physicochemical properties of these composites are influenced by complex interactions, including hydrogen bonding, electrostatic forces between biopolymers, calcium ions, and the encapsulated [...] Read more.
The probiotic bacterium Bifidobacterium animalis subsp. lactis BB-12 (BB-12) was encapsulated in two composites, alginate/agar and alginate/agar/casein. The network structure and physicochemical properties of these composites are influenced by complex interactions, including hydrogen bonding, electrostatic forces between biopolymers, calcium ions, and the encapsulated bacteria. The composites demonstrated a granular surface, with the granules being spatially oriented on the alginate/agar/BB-12 surface and linearly oriented on the alginate/agar/casein/BB-12 surface. They possess a highly organized microparticle structure and exhibit viscoelastic solid-like behavior. The alginate/agar/BB-12 composite showed higher storage modulus, shear stress, and shear strain values, indicating enhanced stability in various physical environments. Both composites displayed good thermal stability, aligning with their rheological properties, confirming their well-ordered structures. Despite differences in composite structures, the release mechanism of bacteria is governed by Fickian diffusion through the composite matrix. Based on physicochemical properties, the alginate/agar/casein composite is recommended for dairy product fermentation, while the alginate/agar composite seems more suitable for oral use. These findings provide new insights into the interactions between bacterial cultures and alginate composite ingredients. Full article
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<p>OM microphotographs of (<b>a</b>) BB-12 colony and (<b>b</b>) Gram-stained BB-12 cells, and (<b>c</b>) SEM microphotograph and (<b>d</b>) EDS semi-quantitative analysis of BB-12 cells (expressed in the atomic weight percent). The scale bars are indicated on each image.</p>
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<p>AFM micrographs of BB-12 cells. Visualization of the surface topography and morphology of the cells. (<b>A</b>) Topographic image; (<b>B</b>) section profile across the marked line; (<b>C</b>) amplitude image on a scan area of 5 × 5 μm<sup>2</sup>; (<b>D</b>) topographic image; (<b>E</b>) section profile across the marked line; (<b>F</b>) amplitude image on a scan area of 2 × 2 μm<sup>2</sup>. The scale bars are indicated on each image.</p>
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<p>Changes in the mean hydrodynamic diameter (d) and shape of BB-12 colonies with calcium chloride concentration (c(CaCl<sub>2</sub>). Error bars indicate the standard deviation of the means. Inserted microphotographs depict changes in colony shape.</p>
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<p>Change in (<b>a</b>) zeta potential (ζ) and (<b>b</b>) size (d) of BB-12 cell aggregates with increasing CaCl<sub>2</sub> concentration. Error bars indicate the standard deviation of the means.</p>
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<p>FTIR spectrum of (<b>a</b>) single components: BB-12 (black line), CA (red line), agar (blue line), SA (green line), and (<b>b</b>) microparticles, and (<b>b</b>) ALG/Ca (black line), Sample 1 (red line), Sample 2 (blue line) and Sample 3 (green line).</p>
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<p>SEM microphotographs of Sample 0 (<b>a</b>,<b>b</b>), Sample 1 (<b>c</b>,<b>d</b>), Sample 2 (<b>e</b>,<b>f</b>) and Sample 3 (<b>g</b>,<b>h</b>). BB-12 cells located on the surface of microparticles are denoted by red lines. The scale bars are indicated on each image.</p>
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<p>SEM microphotographs of Sample 0 (<b>a</b>,<b>b</b>), Sample 1 (<b>c</b>,<b>d</b>), Sample 2 (<b>e</b>,<b>f</b>) and Sample 3 (<b>g</b>,<b>h</b>). BB-12 cells located on the surface of microparticles are denoted by red lines. The scale bars are indicated on each image.</p>
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<p>AFM micrographs of microparticles Sample 0 (<b>A</b>), Sample 1 (<b>B</b>), Sample 2 (<b>C</b>) and Sample 3 (<b>D</b>) with 3D topographic images of height data (<b>top</b> view), section analysis profiles (<b>right</b>) along labeled lines (<b>left</b>) and amplitude images (<b>top</b> view) of microparticles. The scale bars are indicated on each image.</p>
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<p>Amplitude sweep tests (G′ (■) and G″ (▲) values) of Sample 0 (red), Sample 1 (black), Sample 2 (blue) and Sample 3 (green) determined at a constant angular frequency of 5 rad/s at 23 °C.</p>
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<p>(<b>a</b>) Frequency sweep test (G′ (■) and G″ (▲) values) and (<b>b</b>) complex viscosity (ƞ*) and loss factor (tan δ) of Sample 0 (red), Sample 1 (black), Sample 2 (blue) and Sample 3 (green) determined at a strain of 0.1% at 23 °C.</p>
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<p>Time-dependent strain variation during both the creep and creep recovery tests for Sample 0 (red), Sample 1 (black), Sample 2 (blue) and Sample 3 (green) at 23 °C.</p>
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<p>DSC curves of Sample 0 (red line), Sample 1 (black line), Sample 2 (blue line) and Sample 3 (green line) at a heating rate of 10°/min (the first heating cycle and cooling cycle).</p>
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<p>Fraction of released BB-12 cells (f<sub>BB-12</sub>) from composites with time (t). Error bars indicate the standard deviation of the means. Samples are denoted.</p>
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15 pages, 2139 KiB  
Article
Evaluation of the Potential of Novel Co-Processed Excipients to Enable Direct Compression and Modified Release of Ibuprofen
by Ivana Aleksić, Teodora Glišić, Slobodanka Ćirin-Varađan, Mihal Djuris, Jelena Djuris and Jelena Parojčić
Pharmaceutics 2024, 16(11), 1473; https://doi.org/10.3390/pharmaceutics16111473 - 19 Nov 2024
Viewed by 702
Abstract
Background/Objectives: Improving the production rates of modern tablet presses places ever greater demands on the performance of excipients. Although co-processing has emerged as a promising solution, there is still a lack of directly compressible excipients for modified-release formulations. The aim of the [...] Read more.
Background/Objectives: Improving the production rates of modern tablet presses places ever greater demands on the performance of excipients. Although co-processing has emerged as a promising solution, there is still a lack of directly compressible excipients for modified-release formulations. The aim of the present study was to address this issue by investigating the potential of novel co-processed excipients for the manufacture of modified-release tablets containing ibuprofen. Methods: The excipients were prepared by melt granulation of lactose monohydrate with glyceryl palmitostearate as a binder. The influence of glyceryl palmitostearate particle size, ibuprofen content, compression pressure, and compression speed on the compaction behavior of the tablet blends was analyzed. Results: Novel co-processed excipients ensured good flowability and acceptable mechanical properties of the tablets containing up to 70% ibuprofen. Furthermore, lipid-based co-processed excipients proved to be very promising for directly compressible formulations with high-dose, highly adhesive active pharmaceutical ingredients such as ibuprofen, as they do not require additional lubricants. The influence of compression speed on the tensile strength of the tablets prepared was not pronounced, indicating the robustness of these directly compressible excipients. The investigated lipid-based excipients enabled a prolonged release of ibuprofen over 10 h. Conclusions: The novel lipid-based co-processed excipients have shown great potential for directly compressible formulations with modified release of high-dose, challenging active pharmaceutical ingredients. Full article
(This article belongs to the Special Issue Advanced Pharmaceutical Excipients Used in Solid Dosage Forms)
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<p>The contours of the particles of two co-processed excipients: (<b>a</b>) C655 and (<b>b</b>) C150.</p>
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<p>Flowability of the mixtures of co-processed excipients and ibuprofen.</p>
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<p>Three-dimensional surface plots showing the effects of ibuprofen content and compression load on ejection stress (at a binder particle size of 655 µm and a compression speed of 120 mm/min).</p>
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<p>The influence of ibuprofen content and binder particle size on tensile strength at (<b>a</b>) 200 kg compression load and (<b>b</b>) 500 kg compression load.</p>
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<p>The strain rate sensitivity indices of the samples with different ibuprofen content.</p>
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<p>In vitro dissolution profiles of tablets containing ibuprofen (70%) and co-processed excipients (30%).</p>
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17 pages, 8402 KiB  
Article
Two Novel Membranes Based on Collagen and Polyphenols for Enhanced Wound Healing
by Victoria S. Shubina, Margarita I. Kobyakova, Nikita V. Penkov, Gennady V. Mitenko, Sergey N. Udaltsov and Yuri V. Shatalin
Int. J. Mol. Sci. 2024, 25(22), 12353; https://doi.org/10.3390/ijms252212353 - 18 Nov 2024
Viewed by 706
Abstract
Two novel membranes based on collagen and two polyphenols, taxifolin pentaglutarate (TfG5) and a conjugate of taxifolin with glyoxylic acid (DfTf), were prepared. Fourier transform infrared spectroscopy examination confirmed the preservation of the triple helical structure of collagen. A scanning electron microscopy study [...] Read more.
Two novel membranes based on collagen and two polyphenols, taxifolin pentaglutarate (TfG5) and a conjugate of taxifolin with glyoxylic acid (DfTf), were prepared. Fourier transform infrared spectroscopy examination confirmed the preservation of the triple helical structure of collagen. A scanning electron microscopy study showed that both materials had a porous structure. The incorporation of DfTf into the freeze-dried collagen matrix increased the aggregation of collagen fibers to a higher extent than the incorporation of TfG5, resulting in a more compact structure of the material containing DfTf. It was found that NIH/3T3 mouse fibroblasts were attached to, and relatively evenly spread out on, the surface of both newly obtained membranes. In addition, it was shown that the membranes enhanced skin wound healing in rats with a chemical burn induced by acetic acid. The treatment with the materials led to a faster reepithelization and granulation tissue formation compared with the use of other agents (collagen without polyphenols and buffer saline). It was also found that, in the wound tissue, the level of thiobarbituric acid reactive substances (TBARS) was significantly higher and the level of low-molecular-weight SH-containing compounds (RSH) was significantly lower than those in healthy skin, indicating a rise in oxidative stress at the site of injury. The treatment with collagen membranes containing polyphenols significantly decreased the TBARS level and increased the RSH level, suggesting the antioxidant/anti-inflammatory effect of the materials. The membrane containing TfG5 was more effective than other ones (the collagen membrane containing DfTf and collagen without polyphenols). On the whole, the data obtained indicate that collagen materials containing DfTf and TfG5 have potential as powerful therapeutic agents for the treatment of burn wounds. Full article
(This article belongs to the Special Issue Bioactive Polymer-Based Materials Dedicated to Wound Healing)
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<p>Structures of polyphenols used as collagen stabilizing agents. DfTf is a conjugate of taxifolin with glyoxylic acid, and TfG5 is taxifolin pentaglutarate.</p>
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<p>FTIR spectra of the materials based on collagen and taxifolin derivatives.</p>
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<p>SEM images of the materials based on collagen and taxifolin derivatives.</p>
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<p>Confocal laser scanning microscopy images of NIH/3T3 fibroblasts cultured for 24 h on the surface of the collagen materials containing taxifolin derivatives. (<b>A</b>) The control. The cells were seeded on the surface of a collagen matrix without polyphenol. (<b>B</b>) The collagen materials containing DfTf. The cells were seeded on the surface of the collagen material containing 2.5% DfTf. (<b>C</b>) The collagen materials containing TfG5. The cells were seeded on the surface of the collagen material containing 2.5% TfG5. Cell nuclei were stained with Hoechst 33,342 (live and dead cells; seen in blue) and propidium iodide (dead cells; seen in red). The cytoplasm of live cells was stained with calcein-AM (seen in green). Scale bar: 50 μm.</p>
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<p>The effects of the collagen materials containing polyphenols on wound healing. (<b>A</b>) Representative photographs of wounds treated with the materials at different time points after wounding. (<b>B</b>) The relative wound area treated with the materials on day 15 after injury. The data were analyzed using Mann–Whitney U-test. * <span class="html-italic">p</span> &lt; 0.05 compared to other groups.</p>
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<p>Histological evaluation of the effect of the collagen materials containing taxifolin derivatives on wound healing on day 15 after injury. Histological sections were stained with azure and eosin (abbreviations used: S, scab; Ed, epidermis; D, dermis; BV, blood vessel; HF, hair follicle; SG, sebaceous gland). Arrowheads indicate epithelization edges. Scale bar: 100 μm.</p>
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<p>A schematic diagram of the properties of the collagen materials containing taxifolin derivatives. The release of the polyphenols from the materials [<a href="#B60-ijms-25-12353" class="html-bibr">60</a>], the migration of fibroblasts through the materials [<a href="#B60-ijms-25-12353" class="html-bibr">60</a>], and the effect of the materials and their components on the functional activity of neutrophils [<a href="#B60-ijms-25-12353" class="html-bibr">60</a>,<a href="#B67-ijms-25-12353" class="html-bibr">67</a>] have been previously studied.</p>
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18 pages, 9624 KiB  
Article
Galangin Triggers Eryptosis and Hemolysis Through Ca2+ Nucleation and Metabolic Collapse Mediated by PKC/CK1α/COX/p38/Rac1 Signaling Axis
by Mohammad A. Alfhili, Sumiah A. Alghareeb, Ghada A. Alotaibi and Jawaher Alsughayyir
Int. J. Mol. Sci. 2024, 25(22), 12267; https://doi.org/10.3390/ijms252212267 - 15 Nov 2024
Viewed by 672
Abstract
Anticancer drugs cause anemia in patients through eryptosis and hemolysis. We thus studied the in vitro toxicity of galangin (GAL) in red blood cells (RBCs). RBCs were exposed to 50–500 μM of GAL and analyzed for markers of eryptosis and hemolysis. Ca2+ [...] Read more.
Anticancer drugs cause anemia in patients through eryptosis and hemolysis. We thus studied the in vitro toxicity of galangin (GAL) in red blood cells (RBCs). RBCs were exposed to 50–500 μM of GAL and analyzed for markers of eryptosis and hemolysis. Ca2+ nucleation, phosphatidylserine (PS) externalization, oxidative stress, and cell size were detected via fluorescence-activated cell sorting using Fluo4/AM, annexin-V-FITC, 2′,7′-dichlorodihydrofluorescein diacetate, and forward scatter (FSC), respectively. Acetylcholinesterase (AChE) activity was measured via Ellman’s assay and ultrastructural morphology was examined via scanning electron microscopy. Membrane rupture and extracellular hemoglobin, aspartate transaminase (AST), and lactate dehydrogenase (LDH) were assessed via colorimetric methods. Distinct experiments were carried out to identify protective agents and signaling pathways using small-molecule inhibitors. GAL triggered sucrose-sensitive hemolysis with AST and LDH leakage, increased annexin-V-FITC and Fluo4 fluorescence, and decreased FSC and AChE activity which was associated with the formation of granulated echinocytes. Ca2+ omission and energy replenishment with glucose, adenine, and guanosine blunted PS externalization and preserved cellular volume. Moreover, caffeine, Trolox, heparin, and uric acid had similar ameliorative effects. Hemolysis was abrogated via caffeine, Trolox, heparin, mannitol, lactate, melatonin, and PEG 8000. Notably, co-treatment of cells with GAL and staurosporin, D4476, or acetylsalicylic acid prevented PS externalization whereas only the presence of SB203580 and NSC23766 rescued the cells from GAL-induced hemolysis. Ca2+ nucleation and metabolic collapse mediated by PKC/CK1α/COX/p38/Rac1 drive GAL-induced eryptosis and hemolysis. These novel findings carry ramifications for the clinical prospects of GAL in anticancer therapy. Full article
(This article belongs to the Special Issue Erythrocyte Cell Death: Molecular Insights)
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<p>Experimental design. Prepared with BioRender.</p>
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<p>Eryptotic and hemolytic activities of GAL. (<b>a</b>) Chemical structure of GAL. (<b>b</b>) Original histograms of annexin-V-FITC fluorescence. (<b>c</b>) Percentage of eryptotic cells. (<b>d</b>) Percentage of hemolytic cells. (<b>e</b>) AST activity. (<b>f</b>) LDH activity. (<b>g</b>) CK activity. (<b>h</b>) K<sup>+</sup> levels. (<b>i</b>) Correlation between eryptosis and hemolysis. (<b>j</b>) Osmotic fragility curves. (<b>k</b>) AChE activity. (<b>l</b>) B<sub>12</sub> levels. (<b>m</b>) ESR. Graphs show means ± SD. * (<span class="html-italic">p</span> &lt; 0.05), ** (<span class="html-italic">p</span> &lt; 0.01), *** (<span class="html-italic">p</span> &lt; 0.001), and **** (<span class="html-italic">p</span> &lt; 0.0001).</p>
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<p>GAL causes loss of cellular volume and Ca<sup>2+</sup> nucleation. (<b>a</b>) Original histograms of FSC signals. (<b>b</b>) Original histograms of Fluo4 fluorescence. (<b>c</b>) Percentage of cell shrinkage. (<b>d</b>) Percentage with increased Ca<sup>2+</sup>. (<b>e</b>) Original histograms of annexin-V-FITC with and without Ca<sup>2+</sup>. (<b>f</b>) Original histograms of FSC with and without Ca<sup>2+</sup>. (<b>g</b>) Percentage of eryptotic cells. (<b>h</b>) Percentage of cell shrinkage. (<b>i</b>) Percentage of hemolyzed cells. (<b>j</b>) Original histograms of annexin-V-FITC in 5 and 125 mM KCl. (<b>k</b>) Original histograms of FSC in 5 and 125 mM KCl. (<b>l</b>) Percentage of eryptotic cells. (<b>m</b>) Percentage of cell shrinkage. (<b>n</b>) Percentage of hemolyzed cells. Graphs show means ± SD. No significance is indicated by ns whereas * (<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), and **** (<span class="html-italic">p</span> &lt; 0.0001).</p>
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<p>Ultrastructural morphology of RBCs. GAL induces the formation of granulated echinocytes. Magnification: ×5000. Scale bar: 1 μm.</p>
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<p>Energy replenishment reverses GAL-induced cytotoxicity. (<b>a</b>) Original annexin-V-FITC histograms in 5 and 50 mM glucose. (<b>b</b>) Original FSC histograms in 5 and 50 mM glucose. (<b>c</b>) Percentage of eryptotic cells. (<b>d</b>) Percentage of cell shrinkage. (<b>e</b>) Percentage of hemolyzed cells. (<b>f</b>) Original annexin-V-FITC histograms with and without lactate. (<b>g</b>) Original FSC histograms with and without lactate. (<b>h</b>) Percentage of eryptotic cells. (<b>i</b>) Percentage of cell shrinkage. (<b>j</b>) Percentage of hemolyzed cells. (<b>k</b>) Original annexin-V-FITC histograms with and without adenine. (<b>l</b>) Original FSC histograms with and without adenine. (<b>m</b>) Percentage of eryptotic cells. (<b>n</b>) Percentage of cell shrinkage. (<b>o</b>) Percentage of hemolyzed cells. (<b>p</b>) Original annexin-V-FITC histograms with and without guanosine. (<b>q</b>) Original FSC histograms with and without guanosine. (<b>r</b>) Percentage of eryptotic cells. (<b>s</b>) Percentage of cell shrinkage. (<b>t</b>) Percentage of hemolyzed cells. Graphs show means ± SD. No significance is indicated by ns whereas * (<span class="html-italic">p</span> &lt; 0.05), *** (<span class="html-italic">p</span> &lt; 0.001) and **** (<span class="html-italic">p</span> &lt; 0.0001).</p>
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<p>Antieryptotic and antihemolytic effects of Trolox, uric acid, and ASA. (<b>a</b>) Original annexin-V-FITC histograms with and without Trolox. (<b>b</b>) Original FSC histograms with and without Trolox. (<b>c</b>) Percentage of eryptotic cells. (<b>d</b>) Percentage of cell shrinkage. (<b>e</b>) Percentage of hemolyzed cells. (<b>f</b>) Original annexin-V-FITC histograms with and without uric acid. (<b>g</b>) Original FSC histograms with and without uric acid. (<b>h</b>) Percentage of eryptotic cells. (<b>i</b>) Percentage of cell shrinkage. (<b>j</b>) Percentage of hemolyzed cells. (<b>k</b>) Original annexin-V-FITC histograms with and without ASA. (<b>l</b>) Original FSC histograms with and without ASA. (<b>m</b>) Percentage of eryptotic cells. (<b>n</b>) Percentage of cell shrinkage. (<b>o</b>) Percentage of hemolyzed cells. Graphs show means ± SD. No significance is indicated by ns whereas ** (<span class="html-italic">p</span> &lt; 0.01) and **** (<span class="html-italic">p</span> &lt; 0.0001).</p>
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<p>Ameliorative effects of caffeine and heparin. (<b>a</b>) Original annexin-V-FITC histograms with and without caffeine. (<b>b</b>) Original FSC histograms with and without caffeine. (<b>c</b>) Percentage of eryptotic cells. (<b>d</b>) Percentage of cell shrinkage. (<b>e</b>) Percentage of hemolyzed cells. (<b>f</b>) Original annexin-V-FITC histograms with and without heparin. (<b>g</b>) Original FSC histograms with and without heparin. (<b>h</b>) Percentage of eryptotic cells. (<b>i</b>) Percentage of cell shrinkage. (<b>j</b>) Percentage of hemolyzed cells. Graphs show means ± SD **** (<span class="html-italic">p</span> &lt; 0.0001).</p>
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<p>Inhibitors of GAL-induced eryptosis. (<b>a</b>) Original annexin-V-FITC histograms with and without staurosporin. (<b>b</b>) Original FSC histograms with and without staurosporin. (<b>c</b>) Percentage of eryptotic cells. (<b>d</b>) Percentage of cell shrinkage. (<b>e</b>) Percentage of hemolyzed cells. (<b>f</b>) Original annexin-V-FITC histograms with and without D4476. (<b>g</b>) Original FSC histograms with and without D4476. (<b>h</b>) Percentage of eryptotic cells. (<b>i</b>) Percentage of cell shrinkage. (<b>j</b>) Percentage of hemolyzed cells. Graphs show means ± SD. No significance is indicated by ns whereas * (<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), and **** (<span class="html-italic">p</span> &lt; 0.0001).</p>
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<p>Inhibitors of GAL-induced hemolysis. (<b>a</b>) Percentage of eryptotic cells, (<b>b</b>) shrinkage, and (<b>c</b>) hemolysis with and without SB203580. (<b>d</b>) Percentage of eryptotic cells, (<b>e</b>) shrinkage, and (<b>f</b>) hemolysis with and without NSC23766. (<b>g</b>) Percentage of eryptotic cells, (<b>h</b>) shrinkage, and (<b>i</b>) hemolysis with and without MTN. (<b>j</b>) Effect of GAL on hemolysis with and without PEG. Graphs show means ± SD. No significance is indicated by ns whereas * (<span class="html-italic">p</span> &lt; 0.05), *** (<span class="html-italic">p</span> &lt; 0.001), and **** (<span class="html-italic">p</span> &lt; 0.0001).</p>
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<p>Analysis of antioxidants and signaling pathways. Hemolytic rates in the presence and absence of (<b>a</b>) L-NAME, (<b>b</b>) vitamin C, (<b>c</b>) GSH, (<b>d</b>) Z-VAD-FMK, (<b>e</b>) myriocin, (<b>f</b>) BAPTA-AM, (<b>g</b>) necrostatin-2, (<b>h</b>) NSA, and (<b>i</b>) ATP. Graphs show means ± SD. No significance is indicated by ns whereas **** (<span class="html-italic">p</span> &lt; 0.0001).</p>
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<p>GAL toxicity under hyperosmotic stress. (<b>a</b>) Original annexin-V-FITC histograms with and without urea. (<b>b</b>) Original FSC histograms with and without urea. (<b>c</b>) Percentage of eryptotic cells. (<b>d</b>) Percentage of cell shrinkage. (<b>e</b>) Percentage of hemolyzed cells. (<b>f</b>) Original annexin-V-FITC histograms with and without mannitol. (<b>g</b>) Original FSC histograms with and without mannitol. (<b>h</b>) Percentage of eryptotic cells. (<b>i</b>) Percentage of cell shrinkage. (<b>j</b>) Percentage of hemolyzed cells. (<b>k</b>) Original annexin-V-FITC histograms with and without sucrose. (<b>l</b>) Original FSC histograms with and without sucrose. (<b>m</b>) Percentage of eryptotic cells. (<b>n</b>) Percentage of cell shrinkage. (<b>o</b>) Percentage of hemolyzed cells. Graphs show means ± SD. No significance is indicated by ns whereas * (<span class="html-italic">p</span> &lt; 0.05), *** (<span class="html-italic">p</span> &lt; 0.001), and **** (<span class="html-italic">p</span> &lt; 0.0001).</p>
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<p>A working model of GAL-induced RBC death. Prepared with BioRender.</p>
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20 pages, 770 KiB  
Article
Grain-Filling Characteristics and Yield Formation of Rice at Saline Field
by Huanhe Wei, Boyuan Zuo, Jizou Zhu, Weiyi Ma, Xiang Zhang, Lulu Wang, Xiaoyu Geng, Yinglong Chen, Tianyao Meng and Qigen Dai
Agronomy 2024, 14(11), 2687; https://doi.org/10.3390/agronomy14112687 - 14 Nov 2024
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Abstract
It is of great interest to utilize saline fields to promote rice production in China. It has still not been established how salinity stress affects grain-filling characteristics and the relationships with yield formation of rice in a saline field. This experiment was conducted [...] Read more.
It is of great interest to utilize saline fields to promote rice production in China. It has still not been established how salinity stress affects grain-filling characteristics and the relationships with yield formation of rice in a saline field. This experiment was conducted with Ningjing 7 (salinity-tolerant rice variety) and Wuyunjing 30 (salinity-susceptible rice variety) in a non-saline field and a high-saline field in 2021 and 2022. The grain yields of Ningjing 7 and Wuyunjing 30 in a high-saline field were 37.7% and 49.8% lower (p < 0.05) than in a non-saline field across two years. Ningjing 7 exhibited a higher (p < 0.05) grain yield than Wuyunjing 30 in a high-saline field. The reductions in filled-grain percentage and grain weight in inferior grains were greater than in superior grains of Ningjing 7 and Wuyunjing 30. For Ningjing 7 and Wuyunjing 30, the total starch contents in superior and inferior grains at 15, 30, and 45 days after heading were reduced (p < 0.05) in a high-saline field compared to a non-saline field. The ADP–glucose pyrophosphorylase, granule-bound starch synthase, and starch synthase activities after heading in superior and inferior grains in a high-saline field were lower (p < 0.05) than those in a non-saline field, and the reductions were more pronounced for Wuyunjing 30. The maximum grain-filling rate and mean grain-filling rate were decreased, while the time to achieve the maximum grain-filling rate was increased in a high-saline field compared to a non-saline field, especially for Wuyunjing 30. The mean grain-filling rate and grain-filling amount in superior and inferior grains during the early, middle, and late stages were lower in a high-saline field than in a non-saline field. For Ningjing 7 and Wuyunjing 30, the reductions in the grain-filling amount in the inferior grains during the early, middle, and late stages in a high-saline field were greater than those in superior grains. Our results suggest that salinity stress inhibited the grain-filling rate, reduced the total starch content and affected key enzyme activities, which led to the poor sink-filling efficiency and yield performance of rice in a saline field, especially for the salinity-susceptible variety. Full article
(This article belongs to the Section Soil and Plant Nutrition)
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Figure 1

Figure 1
<p>Flag leaf photosynthetic rate and SPAD values at 20 and 40 DAH of rice in two fields across two years. NSF, non-saline field; HSF, high-saline field. NJ 7, Ningjing 7; WYJ 30, Wuyunjing 30. DAH, days after heading. Vertical bars represent ± standard deviation of the mean (<span class="html-italic">n</span> = 3). Different letters above the column indicate statistical significance at the 0.05 probability level.</p>
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<p>Total starch content in SG and IG at 15, 30, and 45 DAH of rice at two fields across two years. NSF, non-saline field; HSF, high-saline field. SG, superior grains; IG, inferior grains. NJ 7, Ningjing 7; WYJ 30, Wuyunjing 30. DAH, days after heading. Vertical bars represent ± standard deviation of the mean (<span class="html-italic">n</span> = 3). Different letters above the column indicate statistical significance at the 0.05 probability level.</p>
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<p>Grain weighting after heading in SG and IG of rice at two fields across two years. NSF, non-saline field; HSF, high-saline field. SG, superior grains; IG, inferior grains. NJ 7, Ningjing 7; WYJ 30, Wuyunjing 30. DAH, days after heading.</p>
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