Nothing Special   »   [go: up one dir, main page]

You seem to have javascript disabled. Please note that many of the page functionalities won't work as expected without javascript enabled.
 
 
Sign in to use this feature.

Years

Between: -

Subjects

remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline

Journals

remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline

Article Types

Countries / Regions

remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline

Search Results (659)

Search Parameters:
Keywords = mannitol

Order results
Result details
Results per page
Select all
Export citation of selected articles as:
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
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)
Show Figures

Figure 1

Figure 1
<p>Experimental design. Prepared with BioRender.</p>
Full article ">Figure 2
<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>
Full article ">Figure 3
<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>
Full article ">Figure 4
<p>Ultrastructural morphology of RBCs. GAL induces the formation of granulated echinocytes. Magnification: ×5000. Scale bar: 1 μm.</p>
Full article ">Figure 5
<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>
Full article ">Figure 6
<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>
Full article ">Figure 7
<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>
Full article ">Figure 8
<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>
Full article ">Figure 9
<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>
Full article ">Figure 10
<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>
Full article ">Figure 11
<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>
Full article ">Figure 12
<p>A working model of GAL-induced RBC death. Prepared with BioRender.</p>
Full article ">
20 pages, 5195 KiB  
Article
The Impact of Green Tea Kombucha on the Intestinal Health, Gut Microbiota, and Serum Metabolome of Individuals with Excess Body Weight in a Weight Loss Intervention: A Randomized Controlled Trial
by Gabriela Macedo Fraiz, Dandara Baia Bonifácio, Udielle Vermelho Lacerda, Rodrigo Rezende Cardoso, Viviana Corich, Alessio Giacomini, Hércia Stampini Duarte Martino, Sergio Esteban-Echeverría, Ana Romo-Hualde, David Muñoz-Prieto, Frederico Augusto Ribeiro de Barros, Fermín I. Milagro and Josefina Bressan
Foods 2024, 13(22), 3635; https://doi.org/10.3390/foods13223635 - 14 Nov 2024
Viewed by 278
Abstract
Green tea kombucha (GTK) has emerged as a promising probiotic fermented beverage. Few studies have investigated its effect on human health, mainly focusing on intestinal health, microbiota composition, and metabolomics. The present study is a pioneer in investigating the effect of GTK consumption [...] Read more.
Green tea kombucha (GTK) has emerged as a promising probiotic fermented beverage. Few studies have investigated its effect on human health, mainly focusing on intestinal health, microbiota composition, and metabolomics. The present study is a pioneer in investigating the effect of GTK consumption in individuals with excess body weight. This is a randomized controlled trial, lasting ten weeks, with two groups placed under an energy-restricted diet: control (CG, n = 29), kombucha (KG, n = 30; 200 mL/d). Biological samples and questionnaires were collected before and after the intervention. Microbiota analysis used an amplification of the V4 region of 16S rRNA. Serum untargeted metabolomics used HPLC-TOF mass spectrometry. Intestinal permeability considered the urine excretion of lactulose and mannitol, plasma zonulin, and LPS-binding protein. After the intervention, no differences related to intestinal permeability and microbiota were found between groups, but only the CG had increased fecal pH, lactulose/mannitol ratio, and zonulin. In addition to this, the KG reported lower gastrointestinal symptoms related to motility compared to the CG, and discriminant metabolites (e.g., diethyl malonate) were found strictly in the KG. GTK did not significantly improve gut microbiota and intestinal permeability. However, GTK ameliorated gastrointestinal symptoms and positively influenced the serum metabolome, which may contribute to enhancing the metabolic health of individuals with excess body weight. Full article
(This article belongs to the Section Food Microbiology)
Show Figures

Figure 1

Figure 1
<p>Experimental design. This is a randomized controlled trial involving individuals with excess body weight allocated in control or kombucha groups. All participants attended the first meeting for screening; those who met the inclusion criteria had to accomplish a run-in period. Participants went to a second meeting to collect all the data and biological samples. In the middle of the intervention, after 5 weeks, they had a nutritional return appointment. After 10 weeks, all participants repeated the data collection. ICF: Informed Consent Form.</p>
Full article ">Figure 2
<p><b>A</b> CONSORT flow diagram of the participants. In total, 29 individuals completed the intervention in the control group and 30 in the kombucha group. Analysis considered the totality of participants with exception of LPS-Binding Protein (LBP) and zonulin due to insufficient biological material.</p>
Full article ">Figure 3
<p>Comparison of gastrointestinal symptoms evaluated through the Gastrointestinal Symptom Rating Scale (GSRS) questionnaire, according to the allocation group. Values expressed as means (SEM). Comparison between baseline and endpoint results across the same group (paired <span class="html-italic">t</span>-test) and comparisons between baseline, endpoint and Δ between groups (independent <span class="html-italic">t</span>-test), only significant <span class="html-italic">p</span>-values expressed (&lt;0.05). Δ = final <span class="html-italic">−</span> baseline.</p>
Full article ">Figure 3 Cont.
<p>Comparison of gastrointestinal symptoms evaluated through the Gastrointestinal Symptom Rating Scale (GSRS) questionnaire, according to the allocation group. Values expressed as means (SEM). Comparison between baseline and endpoint results across the same group (paired <span class="html-italic">t</span>-test) and comparisons between baseline, endpoint and Δ between groups (independent <span class="html-italic">t</span>-test), only significant <span class="html-italic">p</span>-values expressed (&lt;0.05). Δ = final <span class="html-italic">−</span> baseline.</p>
Full article ">Figure 4
<p>Alpha diversity represented by Chao 1 and Shannon indices according to allocation group (control: red; kombucha: blue) and intervention visit (baseline and final). (<b>A</b>) Chao 1 and Shannon indices by genus level and (<b>B</b>) by family level. Values were compared by Wilcoxon Rank Sum Test.</p>
Full article ">Figure 5
<p>Venn diagram in ESI+ (<b>A</b>) and ESI− (<b>B</b>) modes showing metabolites common in both groups and those detected in just kombucha and control groups.</p>
Full article ">Figure 6
<p>PLS-DA plots representing the baseline (color: red) and end-of-intervention (color: green) data of the kombucha group in ESI+ (<b>A</b>) and ESI− (<b>B</b>).</p>
Full article ">Figure 7
<p>Correlation chart for changes in microbiota and putative metabolites found only in kombucha group after intervention. Sperman correlation considered with significance at <span class="html-italic">p</span> &lt; 0.05. Red indicates positive correlation and purple negative correlation. ***: FDR &lt; 0.001; **: FDR &lt; 0.01; *: <span class="html-italic">p</span> &lt; 0.05.</p>
Full article ">
20 pages, 10850 KiB  
Article
Lipid–Polymer Hybrid Nanoparticles in Microparticle-Based Powder: Evaluating the Potential of Methylprednisolone Delivery for Future Lung Disease Treatment via Inhalation
by Cinzia Scialabba, Emanuela Fabiola Craparo, Sofia Bonsignore, Marta Cabibbo and Gennara Cavallaro
Pharmaceutics 2024, 16(11), 1454; https://doi.org/10.3390/pharmaceutics16111454 - 14 Nov 2024
Viewed by 225
Abstract
Background. Lipid–polymer hybrid nanoparticles (LPHNPs) offer a promising method for delivering methylprednisolone (MePD) to treat lung inflammation, addressing aggregation issues seen with polymer-only formulations. Objectives. This study aimed to develop LPHNPs for MePD delivery, assessing their physicochemical properties, drug loading, cytocompatibility, and release [...] Read more.
Background. Lipid–polymer hybrid nanoparticles (LPHNPs) offer a promising method for delivering methylprednisolone (MePD) to treat lung inflammation, addressing aggregation issues seen with polymer-only formulations. Objectives. This study aimed to develop LPHNPs for MePD delivery, assessing their physicochemical properties, drug loading, cytocompatibility, and release profiles, ultimately enabling inhalable microparticle-based powder. Methods. The nanoparticles were formulated using α,β-poly(N-2-hydroxyethyl)-DL-aspartamide-g-Rhodamine B-g-poly(lactic acid) (PHEA-g-RhB-g-PLA) and phospholipids DPPC, DOTAP, and DSPE-PEG2000 in a 45:30:25 weight ratio. Their size, redispersion after freeze-drying, drug loading (DL%), and controlled release were evaluated. Cytocompatibility was assessed on 16-HBE cell lines, measuring anti-inflammatory effects via IL-6 and IL-8 levels. Spray drying was optimized to produce microparticles using mannitol (MAN), leucine (LEU), and N-acetylcysteine (NAC). Results. The nanoparticles had a size of 186 nm and a DL% of 2.9% for MePD. They showed good cytocompatibility, significantly reducing IL-6 and IL-8 levels. Spray drying yielded microparticles with a fine particle fraction (FPF) of 62.3% and a mass median aerodynamic diameter (MMAD) of 3.9 µm. Inclusion of LPHNPs@MePD (0.25% w/v) resulted in FPF and MMAD values of 56.7% and 4.4 µm. In conclusion, this study described the production of novel inhalable powders as carriers for MePD-loaded nanostructures with favorable physicochemical properties, cytocompatibility, and promising aerosol performance, indicating their potential as an effective inhalable therapy for lung inflammation with corticosteroids, especially for treating chronic diseases. Full article
Show Figures

Figure 1

Figure 1
<p>Z Average, PDI, and ζ potential values of empty and drug-loaded NPs and LPHNPs, before and after lyophilization. The number above the histogram represents the PDI of the Z average.</p>
Full article ">Figure 2
<p>MePD release profile from LPHNPs (dashed line) and NPs@MePD (solid line), in SLF4 (black), DPBS (red), and ALF (blue).</p>
Full article ">Figure 3
<p>Cell viability % (MTS assay) on 16-HBE cells after 24 and 48 h of incubation with MePD, LPHNPs@MePD, and LPHNPs. The results are reported as the mean ± SD (n = 3).</p>
Full article ">Figure 4
<p>Evaluation of MePD, free or loaded into LPHNPs, and empty LPHNPs effects on 16-HBE cells as cytokine IL-6 e IL-8 production via ELISA test.</p>
Full article ">Figure 5
<p>SEM images depicting samples MPs_A, MPs_B, MPs_C, and MPs_D with magnifications of 500× (upper) and 3000× (down).</p>
Full article ">Figure 6
<p>Characteristics of the samples obtained via SD in terms of geometric diameter (d<sub>geo</sub>), bulk density (ρ<sub>bulk</sub>), tapped density (ρ<sub>tapped</sub>), aerodynamic diameter (d<sub>aer</sub>), and Hausner Index (H).</p>
Full article ">Figure 7
<p>SEM images depicting samples MPs_C1, MPs_C2, and NiM@MePD (containing LPHNPs at 0.25% <span class="html-italic">w</span>/<span class="html-italic">v</span>), with magnifications of 500× (upper) and 3000× (down).</p>
Full article ">Figure 8
<p>Geometric diameter (d<sub>geo</sub>), bulk density (ρb), tapped density (ρ<sub>tapped</sub>), aerodynamic diameter (d<sub>aer</sub>), and Hausner Index (H) of MPs_C1, MPs_C2 and NiM@MePD samples. MPs_C sample is reported for comparison.</p>
Full article ">Figure 9
<p>Deposition of MPs_C, MPs_C1, MPs_C2 and NiM@MePD samples on the stages of the ACI, after testing via Breezhaler<sup>®</sup> at a flow rate of 90 L/min.</p>
Full article ">Figure 10
<p>Transmittance at 650 nm of dispersions containing mucin alone, MPs_C1, NiM@MePD and LPHNPs@MePD samples (1 mg/mL), in water or in mucin dispersion at final concentration of 0.08% <span class="html-italic">w</span>/<span class="html-italic">v</span>.</p>
Full article ">Scheme 1
<p>Schematic representation of the Nano into Microparticle (NiM) production starting from hybrid nanoparticles (LPHNPs@MePD) and excipients (Mann, LEU, NAC), and characterization.</p>
Full article ">
15 pages, 3820 KiB  
Article
Overexpression of Cassava MeSTP7 Promotes Arabidopsis Seedling Development
by Sha Geng, Xiaotong Wang, Wei Yan, Qian Liu, Na Wang, Jianyu Zhang, Jianchun Guo, Jiao Liu and Lijuan Luo
Plants 2024, 13(21), 3102; https://doi.org/10.3390/plants13213102 - 4 Nov 2024
Viewed by 483
Abstract
The sugar transporter (STP) gene family is a key regulator of plant development, which is crucial for the efficient transport and utilization of sugars during plant growth and development. In this study, we identified the MeSTP7 gene, which is highly expressed in cassava [...] Read more.
The sugar transporter (STP) gene family is a key regulator of plant development, which is crucial for the efficient transport and utilization of sugars during plant growth and development. In this study, we identified the MeSTP7 gene, which is highly expressed in cassava fibrous roots, early storage roots, and under hormonal treatment, including IAA, MeJA, ABA, and GA3, and abiotic stressors, such as mannitol and NaCl. A strong response was observed with exoqenous IAA. Transfecting MeSTP7 into Arabidopsis promoted early seedling growth, particularly in lateral root development. The content of endogenous hormones (IAA and MeJA) as well as soluble sugars (sucrose, fructose, and glucose) was elevated in transgenic Arabidopsis. Hormone treatments with IAA, MeJA, GA3, and ABA on transgenic Arabidopsis revealed that transgenic Arabidopsis responded positively to added 20 μM IAA. They also exhibited co-induced regulation of lateral root formation by GA3, MeJA, and ABA. qRT-PCR analysis showed that overexpression of MeSTP7 upregulated the expression of IAA14, ARF7, and ARF19 in Arabidopsis. Under IAA treatment, the expression of these genes was similarly upregulated but downregulated under MeJA treatment. These results suggest that MeSTP7 may promote Arabidopsis seedling development by increasing the content of sucrose, glucose, and fructose in roots, which in turn influences IAA-based hormonal signaling. Full article
(This article belongs to the Section Plant Development and Morphogenesis)
Show Figures

Figure 1

Figure 1
<p>Expression analysis of the <span class="html-italic">MeSTP7</span> gene in cassava tissues. The storage roots were selected from cassava roots that had grown for 80 days. <span class="html-italic">MeTubulin</span> and <span class="html-italic">MeActin</span> were used as internal controls. The expression level of young leaves was set to 1. The data represent the mean ± standard deviation of three biological replicates. Different lowercase letters indicate significant differences (<span class="html-italic">p</span> &lt; 0.05).</p>
Full article ">Figure 2
<p>The root expression pattern of the <span class="html-italic">MeSTP7</span> gene under various treatments of cassava seedlings, including drought, salt, IAA, MeJA, ABA, and GA<sub>3</sub>. The treatment methods were as follows: gibberellin treatment was 100 μM GA<sub>3</sub>; IAA treatment was treated with 100 μM IAA; ABA treatment was 100 μM ABA; MeJA treatment was 100 μM MeJA; salt stress was 300 mM NaCl; the drought treatment was simulated by 100 mM mannitol. The <span class="html-italic">MeTubulin</span> gene and <span class="html-italic">MeActin</span> gene were normalized as an internal control. The relative expression value of the control sample was standardized to the control value 1. The data are expressed as the average of three independent organisms. Different lowercase letters indicate significant differences (<span class="html-italic">p</span> &lt; 0.05).</p>
Full article ">Figure 3
<p>Detection of transgenic <span class="html-italic">Arabidopsis</span> expressing heterologous <span class="html-italic">MeSTP7</span>. (<b>a</b>) A schematic diagram of the pCAMBIA1300-<span class="html-italic">MeSTP7</span>: GFP recombinant vector. (<b>b</b>) PCR detection of the leaves of resistant transgenic <span class="html-italic">Arabidopsis</span> seedlings that survived on 1/2 MS medium supplemented with 100 mg/L hygromycin, T1 generation. M: DL2000; P: Positive plasmid control; 1–18: Transgenic <span class="html-italic">Arabidopsis</span> lines; WT: Columbia-0 <span class="html-italic">Arabidopsis</span>. (<b>c</b>) Expression of the <span class="html-italic">MeSTP7</span> gene in selected transgenic lines. The expression of OE8 was set to 1, and the AtActin gene was normalized as an internal control. (<b>d</b>) Expression of GFP in T3 transgenic lines was observed using a Luyor-3415RG dual-wavelength fluorescent protein excitation light source.</p>
Full article ">Figure 4
<p><span class="html-italic">MeSTP7</span> increases the levels of IAA, MeJA, sucrose, glucose, and fructose in <span class="html-italic">Arabidopsis</span> seedlings, promoting seedling growth. (<b>a</b>) Transgenic <span class="html-italic">MeSTP7</span> and WT plants were grown on 1/2 MS agar for 7 days. (<b>b</b>) Statistical analysis of plant root fresh weight. (<b>c</b>) Statistical analysis of the number of plant lateral roots. (<b>d</b>) The endogenous IAA content in the roots of the plants was measured. (<b>e</b>) The endogenous MeJA content in the roots of the plants was measured. (<b>f</b>) The content of glucose, fructose, and sucrose in WT and <span class="html-italic">MeSTP7</span>-overexpression <span class="html-italic">Arabidopsis</span> plants grown in 1/2 MS medium. The data were expressed as the mean ± SEM of three biological replicates. * represents a significant difference (<span class="html-italic">p</span> &lt; 0.05), ** represents a highly significant difference (<span class="html-italic">p</span> &lt; 0.01).</p>
Full article ">Figure 5
<p>IAA treatment enhances root development in <span class="html-italic">Arabidopsis</span> with <span class="html-italic">MeSTP7</span> overexpression. (<b>a</b>) Phenotype of transgenic <span class="html-italic">Arabidopsis</span> under different IAA concentration gradients. (<b>b</b>) The total plant fresh weight and root fresh weight of <span class="html-italic">Arabidopsis</span> under different IAA concentration gradient treatments. (<b>c</b>) Expression of root development-related genes under different IAA concentrations. * represents a significant difference (<span class="html-italic">p</span> &lt; 0.05), ** represents a highly significant difference (<span class="html-italic">p</span> &lt; 0.01).</p>
Full article ">Figure 6
<p>MeJA treatment inhibited the formation of lateral roots in <span class="html-italic">MeSTP7</span>-overexpressing <span class="html-italic">Arabidopsis</span> plants. (<b>a</b>) Phenotypes of transgenic <span class="html-italic">Arabidopsis</span> under different MeJA concentration gradients. (<b>b</b>) Fresh weight and lateral root number of transgenic <span class="html-italic">Arabidopsis</span> under different MeJA concentration gradients. (<b>c</b>) Expression of root development-related genes under different MeJA concentrations. * represents a significant difference (<span class="html-italic">p</span> &lt; 0.05), ** represents a highly significant difference (<span class="html-italic">p</span> &lt; 0.01).</p>
Full article ">
19 pages, 9522 KiB  
Article
Ubiquitin-Specific Protease 15 Plays an Important Role in Controlling the Tolerance to Salt, Drought and Abscisic Acid in Arabidopsis thaliana
by Xiaoxiao Zou, Huangping Yin, Daolong Xie, Jiajin Xu, Yongliang Li, Wenjun Xiao, Shucan Liu and Xinhong Guo
Int. J. Mol. Sci. 2024, 25(21), 11569; https://doi.org/10.3390/ijms252111569 - 28 Oct 2024
Viewed by 495
Abstract
Ubiquitin-specific proteases (UBPs), the largest subfamily of deubiquitinating enzymes (DUBs), are critical for plant growth and development as well as abiotic-stress responses. In this study, we discovered that the expression of the ubiquitin-specific protease 15 (UBP15) gene of the gene ubiquitin-specific [...] Read more.
Ubiquitin-specific proteases (UBPs), the largest subfamily of deubiquitinating enzymes (DUBs), are critical for plant growth and development as well as abiotic-stress responses. In this study, we discovered that the expression of the ubiquitin-specific protease 15 (UBP15) gene of the gene ubiquitin-specific protease 15 (UBP15) was induced by salt, mannitol and abscisic acid (ABA) treatments. Further research revealed that UBP15 is involved in modulation of salt, drought tolerance and ABA signaling during seed germination, early seedling development, post-germination root growth or adult-plant stage. Enrichment analysis showed that many genes related to abiotic stresses and metabolic pathways were altered in the ubp15-1 mutant. Through the joint analysis of the quantitative real-time polymerase chain reaction (qRT-PCR) and differentially-expressed gene relationship network, we found that UBP15 may mainly regulate salt-stress tolerance by modulating the dwarf and delayed flowering 1 (DDF1) pathway through a cascade reaction. In the regulation of drought-stress responses, ring domain ligase1 (RGLG1) may be a direct substrate of UBP15. Moreover, we cannot exclude the possibility that UBP15 acts in a feed-forward loop mechanism in the regulation of drought-stress responses via ethylene response factor 53 (ERF53) and its ubiquitin (Ub) ligase RGLG1. In ABA signal transduction, UBP15 may play a role in at least three aspects of the ABA signaling pathway: ABA synthesis, stomatal closure regulated by ABA signaling, and transcription factors in the ABA pathway. Taken together, our results suggest that UBP15 is involved in salt, osmotic, and drought-stress tolerance and the ABA signaling pathway by directly regulating the stability of key substrates or indirectly affecting the expression of genes related to abiotic stresses in Arabidopsis thaliana. Our research provides new germplasm resources for stress-resistant crops cultivation. These results demonstrate that UBP15 is a key regulator of salt, drought and ABA tolerance in Arabidopsis. Full article
Show Figures

Figure 1

Figure 1
<p>Expression pattern of <span class="html-italic">UBP15</span> under abiotic-stress and ABA treatments. (<b>A</b>) qRT-PCR analysis of <span class="html-italic">UBP15</span> expression under 140 mM NaCl treatment. (<b>B</b>) qRT-PCR analysis of <span class="html-italic">UBP15</span> expression under 320 mM mannitol treatment. (<b>C</b>) qRT-PCR analysis of <span class="html-italic">UBP15</span> expression under 10 μM ABA treatment. The expression of <span class="html-italic">ACTIN2</span> was used as the internal control. Data were normalized to the untreated sample. Error bars represent the standard deviation (SD) based on three biological replicates. Asterisks indicate significant differences (** <span class="html-italic">p</span> &lt; 0.01, *** <span class="html-italic">p</span> &lt; 0.001) according to Student’s <span class="html-italic">t</span>-test. compared with the untreated sample [<a href="#B23-ijms-25-11569" class="html-bibr">23</a>].</p>
Full article ">Figure 2
<p>Identification of the T-DNA insertion mutants and overexpressed transgenic line of <span class="html-italic">UBP15</span>. (<b>A</b>) Schematic diagram of the T-DNA insertion mutants. Grey bars indicate the untranslated regions, green bars indicate the coding regions, and black lines represent introns of the <span class="html-italic">UBP15</span> gene. The triangle indicates the T-DNA insertion site. (<b>B</b>) PCR analysis of the T-DNA insertion mutants. (<b>C</b>) qRT-PCR analysis of the transcript level of <span class="html-italic">UBP15</span> in the WT, T-DNA insertion mutants and overexpressed transgenic line. The expression of <span class="html-italic">ACTIN2</span> was used as the internal control. Data were normalized to WT plants. Error bars represent the SD based on three biological replicates.</p>
Full article ">Figure 3
<p>UBP15 reduced <span class="html-italic">Arabidopsis</span> sensitivity to salt stress during early seedling development. (<b>A</b>) Salt-stress sensitivity of the WT, the T-DNA insertion mutants and overexpressed transgenic line during seed germination stage. Vernalized seeds were sown on half-strength Murashige and Skoog (1/2 MS) medium with 0/120 mM NaCl. Photos were taken 7 days after treatment. (<b>B</b>) Germination rate of different genotype seeds grown on 1/2 MS medium with 0/120 mM NaCl. (<b>C</b>) Green cotyledon rate of different genotype seeds grown on 1/2 MS medium with 0/120 mM NaCl for 7 days. (<b>D</b>) Fresh weight of different genotype seeds grown on 1/2 MS medium with 0/120 mM NaCl for 7 days. Error bars represent the SD based on three biological replicates (36 seeds per genotype in one biological replicate). Asterisks indicate significant differences (* <span class="html-italic">p</span> &lt; 0.05, *** <span class="html-italic">p</span> &lt; 0.001) according to Student’s <span class="html-italic">t</span>-test, compared with the WT.</p>
Full article ">Figure 4
<p>UBP15 reduced <span class="html-italic">Arabidopsis</span> sensitivity to osmotic stress during early seedling development. (<b>A</b>) Osmotic stress sensitivity of the WT, the T-DNA insertion mutants and overexpressed transgenic line during seed germination stage. Vernalized seeds were sown on 1/2 MS medium with 0/300 mM mannitol. Photos were taken 7 days after treatment. (<b>B</b>) Germination rate of different genotype seeds grown on 1/2 MS medium with 0/300 mM mannitol. (<b>C</b>) Green cotyledon rate of different genotype seeds grown on 1/2 MS medium with 0/300 mM mannitol for 7 days. (<b>D</b>) Fresh weight of different genotype seeds grown on 1/2 MS medium with 0/300 mM mannitol for 7 days. Error bars represent the SD based on three biological replicates (36 seeds per genotype in one biological replicate). Asterisks indicate significant differences (* <span class="html-italic">p</span> &lt; 0.05, *** <span class="html-italic">p</span> &lt; 0.001) according to Student’s <span class="html-italic">t</span>-test, compared with the WT.</p>
Full article ">Figure 5
<p>UBP15 reduced <span class="html-italic">Arabidopsis</span> sensitivity to ABA during seed germination and early seedling development. (<b>A</b>) ABA sensitivity of the WT, the T-DNA insertion mutants and overexpressed transgenic line during seed germination stage. Vernalized seeds were sown on 1/2 MS medium with 0/0.5 μM ABA. Photos were taken 7 days after treatment. (<b>B</b>) Germination rate of different genotype seeds grown on 1/2 MS medium with 0/0.5 μM ABA. (<b>C</b>) Green cotyledon rate of different genotype seeds grown on 1/2 MS medium with 0/0.5 μM ABA for 7 days. (<b>D</b>) Fresh weight of different genotype seeds grown on 1/2 MS medium with 0/0.5 μM ABA for 7 days. Error bars represent the SD based on three biological replicates (36 seeds per genotype in one biological replicate). Asterisks indicate significant differences (* <span class="html-italic">p</span> &lt; 0.05, *** <span class="html-italic">p</span> &lt; 0.001) according to Student’s <span class="html-italic">t</span>-test, compared with the WT.</p>
Full article ">Figure 6
<p>UBP15 affected post-germination root growth under abiotic-stress and ABA conditions. (<b>A</b>) Root growth of germinated WT, <span class="html-italic">ubp15-1</span> and <span class="html-italic">ubp15-2</span> mutant, as well as <span class="html-italic">UBP15</span> OE seedlings, on 1/2 MS medium with or without 90 mM NaCl, 300 mM mannitol or 0.5 μM ABA for 7 days. (<b>B</b>) Root length of germinated WT, <span class="html-italic">ubp15-1</span> and <span class="html-italic">ubp15-2</span> mutant, as well as <span class="html-italic">UBP15</span> OE seedlings, on 1/2 MS medium with or without 90 mM NaCl, 300 mM mannitol or 0.5 μM ABA for 7 days. Error bars represent the SD based on three biological replicates (50 seedlings per genotype in one biological replicate). Asterisks indicate significant differences (* <span class="html-italic">p</span> &lt; 0.05, *** <span class="html-italic">p</span> &lt; 0.001) according to Student’s <span class="html-italic">t</span>-test, compared with the WT.</p>
Full article ">Figure 7
<p>UBP15 enhanced salt- and drought-stress tolerance in adult <span class="html-italic">Arabidopsis</span> plants. (<b>A</b>) Salt tolerance analysis of <span class="html-italic">ubp15-1</span>, <span class="html-italic">ubp15-2</span> mutant and <span class="html-italic">UBP15</span> OE plants grown in soil. (<b>B</b>) The survival rate of <span class="html-italic">ubp15-1</span>, <span class="html-italic">ubp15-2</span> mutant and <span class="html-italic">UBP15</span> OE treated with 100 mM NaCl. (<b>C</b>) Drought tolerance analysis of <span class="html-italic">ubp15-1</span>, <span class="html-italic">ubp15-2</span> mutant and <span class="html-italic">UBP15</span> OE plants grown in soil. (<b>D</b>) The survival rate of <span class="html-italic">ubp15-1</span>, <span class="html-italic">ubp15-2</span> mutant and <span class="html-italic">UBP15</span> OE treated with drought. (<b>E</b>) The water loss rate of <span class="html-italic">ubp15-1</span>, <span class="html-italic">ubp15-2</span> mutant and <span class="html-italic">UBP15</span> OE treated with drought. (<b>F</b>) Proline content of <span class="html-italic">ubp15-1</span>, <span class="html-italic">ubp15-2</span> mutant and <span class="html-italic">UBP15</span> OE treated with or without 100 mM NaCl. (<b>G</b>) Proline content of <span class="html-italic">ubp15-1</span>, <span class="html-italic">ubp15-2</span> mutant and <span class="html-italic">UBP15</span> OE treated with or without drought. Error bars represent the SD based on three biological replicates (fifteen plants per genotype in one biological replicate). Asterisks indicate significant differences (* <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) according to Student’s <span class="html-italic">t</span>-test, compared with the WT.</p>
Full article ">Figure 8
<p>Abiotic stress-related genes with altered transcript levels in <span class="html-italic">ubp15-1</span>. The nodes represent genes, and the edges indicate the associations based on literature reports and databases between two genes. The types of evidence suggesting a functional link are distinguished by edges with different colors.</p>
Full article ">Figure 9
<p>UBP15 effected the expression of genes related to abiotic stresses and ABA signaling. (<b>A</b>) Expression levels of salt stress-responsive genes were assayed by qRT-PCR in seedlings of the 7-day-old WT, <span class="html-italic">ubp15-1</span>, <span class="html-italic">ubp15-2</span> and <span class="html-italic">UBP15</span> OE plants treated with 0/120 mM NaCl for 3 h. (<b>B</b>) Expression levels of drought stress-responsive genes were assayed by qRT-PCR in seedlings of the 7-day-old WT, <span class="html-italic">ubp15-1</span>, <span class="html-italic">ubp15-2</span> and <span class="html-italic">UBP15</span> OE plants treated with 0/300 mM mannitol for 3 h. (<b>C</b>) Expression levels of ABA-responsive genes were assayed by qRT-PCR in seedlings of the 7-day-old WT, <span class="html-italic">ubp15-1</span>, <span class="html-italic">ubp15-2</span> and <span class="html-italic">UBP15</span> OE plants treated with 0/0.5 μM ABA for 3 h. The expression of <span class="html-italic">ACTIN2</span> was used as the internal control. Data were normalized to untreated WT plants. Error bars represent the SD based on three biological replicates. Asterisks indicate significant differences (* <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) according to Student’s <span class="html-italic">t</span>-test, compared with the WT.</p>
Full article ">
8 pages, 235 KiB  
Article
Impact of Mannitol Administration on Postoperative Renal Function After Robot-Assisted Partial Nephrectomy
by Kazuki Taniguchi, Tomoki Taniguchi, Kentaro Muraoka, Kohei Nishikawa, Yoshinori Ikehata, Kiyoshi Setoguchi, Suguru Oka, Shin Ebara, Akira Fujisaki, Kazuhide Makiyama, Takahiro Inoue, Hiroshi Kitamura, Kazutaka Saito, Shinji Urakami, Tatsuaki Yoneda and Takuya Koie
J. Clin. Med. 2024, 13(21), 6444; https://doi.org/10.3390/jcm13216444 - 28 Oct 2024
Viewed by 405
Abstract
Background: This study investigated the effect of mannitol administration on postoperative renal function during robot-assisted partial nephrectomy (RAPN) in patients with renal cell carcinoma (RCC). Methods: Patients with RCC who underwent RAPN at eight Japanese facilities between March 2016 and November 2023 were [...] Read more.
Background: This study investigated the effect of mannitol administration on postoperative renal function during robot-assisted partial nephrectomy (RAPN) in patients with renal cell carcinoma (RCC). Methods: Patients with RCC who underwent RAPN at eight Japanese facilities between March 2016 and November 2023 were enrolled. In this study, patients were categorized into two groups according to those who received mannitol during RAPN (Group I) and those who did not receive mannitol (Group II). Differences in covariates between the two groups were adjusted using propensity score matching (PSM). Results: The study included 1530 patients with RCC who underwent RAPN. PSM was performed on 531 participants in each group. No difference was observed in perioperative outcomes between the two groups in terms of length of hospital stay, surgical outcomes, achievement ratio of Trifecta, and estimated glomerular filtration rate at 28 days, 90 days, and 1 year postoperatively. Conclusions: Intraoperative mannitol administration during RAPN for improving renal function may be unnecessary. Full article
10 pages, 883 KiB  
Systematic Review
A Systematic Review of Renal Perfusion in Complex Abdominal Aortic Aneurysm Open Repair
by Diletta Loschi, Enrico Rinaldi, Annarita Santoro, Nicola Favia, Nicola Galati and Germano Melissano
J. Cardiovasc. Dev. Dis. 2024, 11(11), 341; https://doi.org/10.3390/jcdd11110341 - 25 Oct 2024
Viewed by 455
Abstract
Introduction: This systematic review aims to analyze the current literature regarding 30-day mortality and postoperative acute kidney disease (AKI) in complex abdominal aortic aneurysms (cAAAs), which included juxtarenal aortic aneurysm (JAA), suprarenal aortic aneurysm (SRAA), and type IV thoracoabdominal aortic aneurysm (TAAA) open [...] Read more.
Introduction: This systematic review aims to analyze the current literature regarding 30-day mortality and postoperative acute kidney disease (AKI) in complex abdominal aortic aneurysms (cAAAs), which included juxtarenal aortic aneurysm (JAA), suprarenal aortic aneurysm (SRAA), and type IV thoracoabdominal aortic aneurysm (TAAA) open surgery (OS), to evaluate the impact of renal perfusion on AKI and to try to define which is the best way to perform it. Methods: A literature search in PubMed and Cochrane Library was performed, and articles published from January 1986 to January 2024 reporting on JAA, SRAA, and TAAA type IV open surgery management were identified. Multicenter studies, single-center series, and case series with ≥10 patients were considered eligible. Comparisons of outcomes of patients who underwent OS for complex abdominal aortic aneurysms (cAAAs) with or without perfusion of the renal arteries were analyzed when available. The titles, abstracts, and full texts were evaluated by two authors independently. The primary outcomes included AKI and 30-day mortality rates. The new-onset dialysis rate was considered a secondary outcome. Results: A total of 295 articles were evaluated, and 21 were included, totaling 5708 patients treated for cAAAs with OS. The male patients totaled 4094 (71.7%), with a mean age of 70.35 ± 8.01 and a mean renal ischemia time of 32.14 ± 12.89 min. Data were collected and analyzed, at first in the entire cohort and then divided into two groups (no perfusion of the renal arteries—group A vs. selective perfusion—group B), with 2516 patients (44.08%) who underwent cAAAs OS without perfusion of the renal arteries and 3192 patients (55.92%) with perfusion. In group B, four types of renal perfusion were reported. Among the 21 studies included, 10 reported on selective renal perfusion in cAAA OS, with several types of fluids described: (1) “enriched” Ringer’s solution, (2) “Custodiol” (Istidine-tryptophan-ketoglutarate or Custodiol HTKsolution), (3) other cold (4 °C) solutions (i.e., several combinations of 4 °C isotonic heparinized balanced salt solution containing mannitol, sodium bicarbonate, and methylprednisolone), and (4) warm blood. Thirty-day mortality for patients in group A was 4.25% (107/2516) vs. 4.29% (137/3192) in group B. The reported incidence of AKI and new onset of dialysis was, respectively, 22.14% (557/2516) and 5.45% (137/2516) for group A and 22.49% (718/3192) and 4.32% (138/3192) for group B. A total of 579 patients presented with chronic kidney disease (CKD) at admission across all studies, which included 350 (13.91%) in group A vs. 229 (7.17%) in group B. Acute kidney injury, 30-day mortality, and new-onset dialysis rate were reported in four subgroups: (1) In the “Ringer” group, 30-day mortality was 2.52% (3/113), AKI affected 27.73% (33/119) of patients, and the new-onset dialysis rate was 2.52% (3/113). (2) In the “Custodiol” group, 30-day mortality was 3.70% (3/81), AKI affected 20.17% (24/81) of patients, and the new-onset dialysis rate was 2.46% (2/81). (3) In the “cold solutions” group (i.e., NaCl and mannitol), 30-day mortality was 4.38% (130/2966), AKI affected 21.81% (647/2966) of patients, and the new-onset dialysis rate was 4.48% (133/2966). (4) In the “Warm blood” group, 30-day mortality was 3.85% (1/26), AKI affected 53.84% (14/26) of patients, and the new-onset dialysis rate was 0% (0/26). Conclusions: This systematic review highlights the lack of standard definitions for AKI, CKD, and the type of renal perfusion. Despite similar results in terms of AKI and 30-day mortality, renal perfusion seems to be protective of the new-onset hemodialysis rate. Moreover, Custodiol appears to have lower rates of AKI and hemodialysis than the other perfusion types. A prospective randomized controlled trial to perform further subgroup analysis and research the various types of renal perfusion may be necessary to identify possible benefits. Full article
(This article belongs to the Special Issue Feature Review Papers in Cardiovascular Clinical Research)
Show Figures

Figure 1

Figure 1
<p>Classification of complex abdominal aortic aneurysms. (<b>A</b>) Juxtarenal aneurysm; (<b>B</b>) pararenal aneurysm; (<b>C</b>) suprarenal aneurism.</p>
Full article ">Figure 2
<p>PRISMA flow diagram of studies identified and included regarding cAAAs with and without perfusion of the renal arteries.</p>
Full article ">
17 pages, 11015 KiB  
Article
Purification and Characterization of β-Mannanase Derived from Rhizopus microsporus var. rhizopodiformis Expressed in Komagataella phaffii
by Jinghua Qu, Jie Long, Xingfei Li, Xing Zhou, Long Chen, Chao Qiu and Zhengyu Jin
Foods 2024, 13(20), 3324; https://doi.org/10.3390/foods13203324 - 19 Oct 2024
Viewed by 1102
Abstract
The demand for food-grade β-mannanases, ideal for high-temperature baking, is increasing. Using the Komagataella phaffii (P. pastoris) expression system for β-mannanase production, this study aimed to enhance purification methods. We evaluated better conditions for production and purification of β-mannanase (PpRm [...] Read more.
The demand for food-grade β-mannanases, ideal for high-temperature baking, is increasing. Using the Komagataella phaffii (P. pastoris) expression system for β-mannanase production, this study aimed to enhance purification methods. We evaluated better conditions for production and purification of β-mannanase (PpRmMan134A) from recombinant P. pastoris X-33, focusing on a higher purity and reducing the production of endogenous secretory proteins in fermentation. By adjusting carbon and nitrogen sources, culture time, and temperature, we controlled cell growth to reduce the production of endogenous secretory proteins. The better-evaluated conditions involved culturing recombinant P. pastoris in 70 mL buffered glycerol complex medium for 24 h at 30 °C, then in modified buffered methanol-complex medium with 0.91% (w/v) methanol, 0.56% (w/v) sorbitol, and 0.48% (w/v) mannitol for another 24 h, which improved the PpRmMan134A yield and reduced endogenous secretory proteins, shortening the fermentation time by 72 h. An affordable purification method using ultrafiltration and salt-out precipitation was utilized. PpRmMan134A showed thermostability up to 100 °C and effectively degraded locust bean gum into smaller fragments, mainly producing mannotriose. In conclusion, with its enhanced purity due to reduced levels of endogenous secretory proteins, purified PpRmMan134A emerges as a promising enzyme for high-temperature baking applications. Full article
Show Figures

Figure 1

Figure 1
<p>Better-evaluated conditions for enzymatic production of schemes A1–A9. Within 120 h of fermentation, the relative enzyme activity (<b>A</b>) and wet cell weight (<b>B</b>) were changed. The maximum enzyme activity in the fermentation supernatant according to scheme A8 at 120 h was defined to be 100%, where the calculated enzyme amount was 0.35 mg. (<b>C</b>) SDS-PAGE analysis of <span class="html-italic">PpRm</span>Man134A in the supernatants.</p>
Full article ">Figure 2
<p>Better-evaluated conditions for enzymatic production of schemes B1-B5. The change in the relative enzyme activity (<b>A</b>) and wet cell weight (<b>B</b>) within 120 h of fermentation. The maximum enzyme activity in the fermentation supernatant according to scheme B3 at 120 h was defined to be 100%, where the calculated enzyme amount was 0.35 mg. (<b>C</b>) SDS-PAGE analysis of <span class="html-italic">PpRm</span>Man134A in the supernatants. (<b>D</b>) SDS-PAGE analysis of <span class="html-italic">PpRm</span>Man134A after salting out. Proteins smaller than 15 kDa were framed in yellow.</p>
Full article ">Figure 3
<p>Better-evaluated conditions for enzymatic production of schemes C1–C10 and D1–D16. Schemes C1–C10 included relative enzyme activity and cell wet weight of <span class="html-italic">PpRm</span>Man134A (<b>A</b>), and SDS-PAGE analysis of <span class="html-italic">PpRm</span>Man134A in the supernatant (<b>B</b>). The maximum enzyme activity in the fermentation supernatant according to schemes C4 and D9 at 48 h was defined to be 100% and marked in green, where the calculated enzyme amount was 0.2 mg. Schemes D1–D16 included SDS-PAGE analysis of <span class="html-italic">PpRm</span>Man134A in the supernatant (<b>C</b>), relative enzyme activity, and cell wet weight (<b>D</b>). (<b>E</b>) SDS-PAGE analysis of purified <span class="html-italic">PpRm</span>Man134A is shown for ultrafiltration (UF), salting out and ultrafiltration (SUF), and Endo H deglycosylated <span class="html-italic">PpRm</span>Man134A (EH). (<b>F</b>) Molecular weight detection of <span class="html-italic">PpRm</span>Man134A after salting out and ultrafiltration was also included.</p>
Full article ">Figure 4
<p>Enzymatic properties of <span class="html-italic">PpRm</span>Man134A: (<b>A</b>) optimum pH and stability, (<b>B</b>) optimum temperature, (<b>C</b>) thermostability, (<b>D</b>) impact of 20 mM of various chemical reagents, (<b>E</b>) kinetic parameters, and (<b>F</b>) volume and viscosity changes in the enzyme–substrate mixture. In (<b>F</b>), the reaction mixture comprised 0.1 mL enzyme solution at various dilutions (control: ddH<sub>2</sub>O) combined with 1 mL substrate solution (5 mg/mL or 10 mg/mL LBG) and was incubated at 40 °C for a duration of 5 min; LBG was dissolved in 50 mM sodium citrate buffer (pH 5.5); from ×0 to ×10,000: dilution ratio using ddH<sub>2</sub>O; ×0: undiluted 0.2 mg <span class="html-italic">PpRm</span>Man134A in 0.1 mL 50 mM sodium citrate buffer (pH 5.5).</p>
Full article ">Figure 5
<p>Analysis of hydrolysis properties of different substrates by <span class="html-italic">PpRm</span>Man134A. (<b>A</b>) Substrate specificity of <span class="html-italic">PpRm</span>Man134A. (<b>B</b>) Analysis of hydrolysis products from different substrates by <span class="html-italic">PpRm</span>Man134A. G1 (D-glucose), G2 (sucrose), G3 (maltotriose), G4 (maltotetraose), G5 (maltopentaose), G6 (maltohexaose), M1 (D-mannose), and M3 (mannotriose) are oligosaccharide standards; Lanes 1, 3, 5, 7, and 9 represent uncentrifuged reaction mixtures containing 0.2 mg <span class="html-italic">PpRm</span>Man134A in 0.1 mL 50 mM sodium citrate buffer (pH 5.5), which were incubated with 1 mL of various substrates at a concentration of 10 mg/mL; Lanes 2, 4, 6, 8, and 10 represent uncentrifuged reaction mixtures containing 0.4 mg <span class="html-italic">PpRm</span>Man134A in 0.2 mL 50 mM sodium citrate buffer (pH 5.5), which were incubated with 1 mL of various substrates at a concentration of 10 mg/mL; Lanes 11, 12, 13, 14, and 15 represent uncentrifuged reaction mixtures containing 0.1 mL of ddH<sub>2</sub>O and 1 mL of different substrates at a concentration of 10 mg/mL; Lanes 16 and 17 represent centrifuged reaction mixtures containing 0.1 mL ddH<sub>2</sub>O, which were mixed with 1 mL of either GB or LBG at a concentration of 10 mg/mL. (<b>C</b>) The oligosaccharide distribution produced by <span class="html-italic">PpRm</span>Man134A hydrolysis toward various substrates was analyzed. (<b>D</b>) The molecular weight distribution of GB and LBG hydrolyzed by <span class="html-italic">PpRm</span>Man134A was determined. Molecular weight (M<sub>W</sub>): unit, Da. In (<b>B</b>–<b>D</b>), <span class="html-italic">PpRm</span>Man134A reacted with different substrates for 20 h; E: <span class="html-italic">PpRm</span>Man134A with substrate; C: ddH<sub>2</sub>O with substrate (control).</p>
Full article ">Figure 6
<p>Product analysis of hydrolysis of locust bean gum by <span class="html-italic">PpRm</span>Man134A. C: ddH<sub>2</sub>O with substrate (control). (<b>A</b>) Possible structural formula of locust bean gum (LBG). The black arrows represent possible cleavage sites of <span class="html-italic">PpRm</span>Man134A. (<b>B</b>) Analysis of oligosaccharides from LBG hydrolysis by <span class="html-italic">PpRm</span>Man134A over time. F1, FM2, F2, F3, F4, and F5: unknown mannooligosaccharides. F1, 6<sup>1</sup>-α-D-galactosyl-α-D-mannose; M2, mannobiose; F2, 6<sup>1</sup>-α-D-galactosyl-β-D-mannobiose; F3, 6<sup>1</sup>-α-D-galactosyl-β-D-mannotriose; F4, 6<sup>1</sup>-α-D-galactosyl-α-D-mannotriose; F5, 6<sup>1</sup>-α-D-galactosyl-β-D-mannotetraose. (<b>C</b>) Standards for G1 (D-glucose), G2 (sucrose), G3 (maltotriose), G4 (maltotetraose), G5 (maltopentaose), G6 (maltohexaose), M1 (D-mannose), and M3 (mannotriose). (<b>D</b>) Molecular weight distribution of LBG products hydrolyzed by <span class="html-italic">PpRm</span>Man134A at different times. Molecular weight (M<sub>W</sub>): unit, Da.</p>
Full article ">
12 pages, 1222 KiB  
Article
Hyperosmotic Stress Induces the Expression of Organic Osmolyte Transporters in Porcine Intestinal Cells and Betaine Exerts a Protective Effect on the Barrier Function
by Elena De Angelis, Paolo Borghetti, Benedetta Passeri, Valeria Cavalli, Luca Ferrari, Melania Andrani, Paolo Martelli and Roberta Saleri
Biomedicines 2024, 12(10), 2391; https://doi.org/10.3390/biomedicines12102391 - 18 Oct 2024
Viewed by 530
Abstract
Background/objectives: The porcine intestinal epithelium plays a fundamental role as a defence interface against pathogens. Its alteration can cause severe inflammatory conditions and diseases. Hyperosmotic stress under physiological conditions and upon pathogen challenge can cause malabsorption. Different cell types counteract the osmolarity increase [...] Read more.
Background/objectives: The porcine intestinal epithelium plays a fundamental role as a defence interface against pathogens. Its alteration can cause severe inflammatory conditions and diseases. Hyperosmotic stress under physiological conditions and upon pathogen challenge can cause malabsorption. Different cell types counteract the osmolarity increase by accumulating organic osmolytes such as betaine, taurine, and myo-inositol through specific transporters. Betaine is known for protecting cells from hyperosmotic stress and has positive effects when fed to pigs. The aim of this study is to demonstrate the modulation of osmolyte transporters gene expression in IPEC-J2 during osmolarity changes and assess the effects of betaine. Methods: IPEC-J2 were seeded in transwells, where differentiate as a polarized monolayer. Epithelial cell integrity (TEER), oxidative stress (NO) and gene expression of osmolyte transporters, tight junction proteins (TJp) and pro-inflammatory cytokines were evaluated. Results: Cells treated with NaCl hyperosmolar medium (500 mOsm/L) showed a TEER decrease at 3 h and detachment within 24 h, associated with an osmolyte transporters reduction. IPEC-J2 treated with mannitol hyperosmolar medium (500 mOsm/L) upregulated taurine (TauT), myo-inositol (SMIT) and betaine (BGT1) transporters expression. A decrease in TJp expression was associated with a TEER decrease and an increase in TNFα, IL6, and IL8. Betaine could attenuate the hyperosmolarity-induced reduction in TEER and TJp expression, the NO increase and cytokines upregulation. Conclusions: This study demonstrates the expression of osmolyte transporters in IPEC-J2, which was upregulated upon hyperosmotic treatment. Betaine counteracts changes in intracellular osmolarity by contributing to maintaining the epithelial barrier function and reducing the inflammatory condition. Compatible osmolytes may provide beneficial effects in therapies for diseases characterized by inflammation and TJp-related dysfunctions. Full article
Show Figures

Figure 1

Figure 1
<p>Gene expression of (<b>A</b>) <span class="html-italic">TauT</span>, (<b>B</b>) <span class="html-italic">SMIT</span> and (<b>C</b>) <span class="html-italic">BGT1</span> in IPEC-J2 cells cultured for the indicated time points in the control medium (C) and in the hyperosmolar medium (500 mOsm/L) obtained with NaCl without/with betaine (BET). Gene expression was measured by using RT-qPCR and normalized to that of the reference gene <span class="html-italic">18S rRNA</span>. Data are presented as means  ±  SD of three independent experiments, each performed in duplicate. # hashtags indicate a statistical difference between each treatment and control (C) at the same time point (<span class="html-italic">p</span> &lt; 0.05); * asterisks indicate a statistical difference between each time point and 3 h upon the same treatment (<span class="html-italic">p</span> &lt; 0.05).</p>
Full article ">Figure 2
<p>Gene expression of (<b>A</b>) <span class="html-italic">TauT</span>, (<b>B</b>) <span class="html-italic">SMIT</span> and (<b>C</b>) <span class="html-italic">BGT1</span> in IPEC-J2 cells cultured for the indicated time points in the control medium (C) and in the hyperosmolar medium (500 mOsm/L) obtained with mannitol (Mann) without/with betaine (BET). Gene expression was measured by using RT-qPCR and normalized to that of the reference gene <span class="html-italic">18S rRNA</span>. Data are presented as means  ±  SD of three independent experiments, each performed in duplicate. # hashtags indicate a statistical difference between each treatment and control (C) at the same time point (<span class="html-italic">p</span> &lt; 0.05); * asterisks indicate a statistical difference between each time point and 3 h upon the same treatment (<span class="html-italic">p</span> &lt; 0.05).</p>
Full article ">Figure 3
<p>The gene expression of (<b>A</b>) <span class="html-italic">TNFα</span>, (<b>B</b>) <span class="html-italic">IL6</span> and (<b>C</b>) <span class="html-italic">IL8</span> in IPEC-J2 cells cultured for the indicated time points in the control medium (C) and in the hyperosmolar medium (500 mOsm/L) obtained with mannitol (Mann) without/with betaine (BET). Gene expression was measured by using RT-qPCR and normalized to that of the reference gene <span class="html-italic">18S rRNA</span>. Data are presented as means  ±  SD of three independent experiments, each performed in duplicate. # hashtags indicate a statistical difference between each treatment and control (C) at the same time point (<span class="html-italic">p</span> &lt; 0.05); * asterisks indicate a statistical difference between each time point and 3 h upon the same treatment (<span class="html-italic">p</span> &lt; 0.05).</p>
Full article ">Figure 4
<p>The gene expression of (<b>A</b>) <span class="html-italic">OCLN</span>, (<b>B</b>) <span class="html-italic">ZO-1</span> and (<b>C</b>) <span class="html-italic">CLDN4</span> in IPEC-J2 cells cultured for the indicated time points in the control medium (C) and in the hyperosmolar medium (500 mOsm/L) obtained with mannitol (Mann) without/with betaine (BET). Gene expression was measured by using RT-qPCR and normalized to that of the reference gene <span class="html-italic">18S rRNA</span>. Data are presented as means  ±  SD of three independent experiments, each performed in duplicate. # hashtags indicate a statistical difference between each treatment and control (C) at the same time point (<span class="html-italic">p</span> &lt; 0.05); * asterisks indicate a statistical difference between each time point and 3 h upon the same treatment (<span class="html-italic">p</span> &lt; 0.05).</p>
Full article ">
14 pages, 775 KiB  
Article
Nutritional Status, Diet, and Intestinal Permeability of Mexican Children with Autism Spectrum Disorders
by Karina Alejandra Pedroza-García, Miriam Aracely Anaya-Loyola, Dolores Ronquillo, María del Carmen Caamaño, David Masuoka, Jorge Palacios-Delgado and Jorge L. Rosado
Gastroenterol. Insights 2024, 15(4), 912-925; https://doi.org/10.3390/gastroent15040064 - 16 Oct 2024
Viewed by 522
Abstract
Introduction: Autism spectrum disorder (ASD) comprises a group of developmental disorders characterized by deficits in social interaction and behavioral patterns. Children with ASD may face nutritional challenges, primarily due to their restrictive behaviors and frequent gastrointestinal issues. Objective: The objective of the present [...] Read more.
Introduction: Autism spectrum disorder (ASD) comprises a group of developmental disorders characterized by deficits in social interaction and behavioral patterns. Children with ASD may face nutritional challenges, primarily due to their restrictive behaviors and frequent gastrointestinal issues. Objective: The objective of the present study was to assess nutritional status, dietary habits, and intestinal permeability in a sample of individuals with ASD. Methods: A cross-sectional study was conducted with 24 children and adolescents (both sexes), aged 4 to 18 years, living in two cities of Mexico (Aguascalientes and Querétaro). Weight and height were measured, and body mass index for age was calculated and compared using WHO Z-scores. Diet was assessed through three 24 h dietary recalls and a food frequency questionnaire. Intestinal permeability was evaluated using a lactulose/mannitol test by HPLC. Results: A high prevalence of malnutrition was observed; 12.5% of the participants were underweight, and 45.8% were overweight or obese. Children had a low intake of fiber, vitamin E, folate, potassium, zinc, and phosphorus and a high intake of sodium. On average, the intestinal permeability ratio was 0.09 ± 0.05, with 54.2% of the children exhibiting high intestinal permeability. Conclusions: It is advisable to develop food counseling strategies for children with ASD to prevent micronutrient deficiencies, promote healthy weight, and improve gastrointestinal integrity. Full article
(This article belongs to the Section Gastrointestinal Disease)
Show Figures

Figure 1

Figure 1
<p>Evaluation of body mass index-for-age (BMI/A) indicator in children and adolescents with ASD (Z-scores interpretation). (<b>A</b>) BMI/A in 4-to-8-year-old children (n = 9); (<b>B</b>) BMI/A in 9-to-13-year-old children (n = 9); (<b>C</b>) BMI/A in 14-to-18-year-old children (n = 6).</p>
Full article ">Figure 2
<p>Comparison of energy and macronutrient intake stratified by age group in children and adolescents with ASD. (<b>A</b>) Comparison of total energy intake (TEI) by age group. (<b>B</b>) Comparison of carbohydrate intake by age groups. (<b>C</b>) Comparison of protein intake by age groups. (<b>D</b>) Comparison of lipid intake by age groups. Data are presented as mean and SEM. Statistical test used: ANOVA, significance at <span class="html-italic">p</span> &lt; 0.05. ns: not significant.</p>
Full article ">
23 pages, 6558 KiB  
Article
Unravelling Different Water Management Strategies in Three Olive Cultivars: The Role of Osmoprotectants, Proteins, and Wood Properties
by Sara Parri, Claudia Faleri, Marco Romi, José C. del Río, Jorge Rencoret, Maria Celeste Pereira Dias, Sara Anichini, Claudio Cantini and Giampiero Cai
Int. J. Mol. Sci. 2024, 25(20), 11059; https://doi.org/10.3390/ijms252011059 - 15 Oct 2024
Viewed by 632
Abstract
Understanding the responses of olive trees to drought stress is crucial for improving cultivation and developing drought-tolerant varieties. Water transport and storage within the plant is a key factor in drought-tolerance strategies. Water management can be based on a variety of factors such [...] Read more.
Understanding the responses of olive trees to drought stress is crucial for improving cultivation and developing drought-tolerant varieties. Water transport and storage within the plant is a key factor in drought-tolerance strategies. Water management can be based on a variety of factors such as stomatal control, osmoprotectant molecules, proteins and wood properties. The aim of the study was to evaluate the water management strategy under drought stress from an anatomical and biochemical point of view in three young Italian olive cultivars (Giarraffa, Leccino and Maurino) previously distinguished for their physiological and metabolomic responses. For each cultivar, 15 individuals in pots were exposed or not to 28 days of water withholding. Every 7 days, the content of sugars (including mannitol), proline, aquaporins, osmotins, and dehydrins, in leaves and stems, as well as the chemical and anatomical characteristics of the wood of the three cultivars, were analyzed. ‘Giarraffa’ reduced glucose levels and increased mannitol production, while ‘Leccino’ accumulated more proline. Both ‘Leccino’ and ‘Maurino’ increased sucrose and aquaporin levels, possibly due to their ability to remove embolisms. ‘Maurino’ and ‘Leccino’ accumulated more dehydrins and osmotins. While neither genotype nor stress affected wood chemistry, ‘Maurino’ had a higher vessel-to-xylem area ratio and a larger hydraulic diameter, which allows it to maintain a high transpiration rate but may make it more susceptible to cavitation. The results emphasized the need for an integrated approach, highlighting the importance of the relative timing and sequence of each parameter analyzed, allowing, overall, to define a “strategy” rather than a “response” to drought of each cultivar. Full article
(This article belongs to the Special Issue Molecular Advances in Olive and Its Derivatives)
Show Figures

Figure 1

Figure 1
<p>Sugar levels identified by HPLC in Giarraffa (GIA), Leccino (LEC) and Maurino (MAU) under control (CTRL, black) and drought stress (DS, orange). (<b>A</b>) Glucose in leaf; (<b>B</b>) glucose in stem; (<b>C</b>) fructose in leaf; (<b>D</b>) fructose in stem; (<b>E</b>) sucrose in leaf; (<b>F</b>) sucrose in stem; (<b>G</b>) mannitol in leaf; (<b>H</b>) mannitol in stem, all expressed in mg g<sup>−1</sup> tissue dry weight (DW). Data in each column are presented as mean ± standard error. Within each time point, different letters denote statistical significance (<span class="html-italic">p</span>-value &lt; 0.05) according to Tukey’s multiple post hoc tests.</p>
Full article ">Figure 1 Cont.
<p>Sugar levels identified by HPLC in Giarraffa (GIA), Leccino (LEC) and Maurino (MAU) under control (CTRL, black) and drought stress (DS, orange). (<b>A</b>) Glucose in leaf; (<b>B</b>) glucose in stem; (<b>C</b>) fructose in leaf; (<b>D</b>) fructose in stem; (<b>E</b>) sucrose in leaf; (<b>F</b>) sucrose in stem; (<b>G</b>) mannitol in leaf; (<b>H</b>) mannitol in stem, all expressed in mg g<sup>−1</sup> tissue dry weight (DW). Data in each column are presented as mean ± standard error. Within each time point, different letters denote statistical significance (<span class="html-italic">p</span>-value &lt; 0.05) according to Tukey’s multiple post hoc tests.</p>
Full article ">Figure 2
<p>Proline content in leaves (<b>A</b>) and stems (<b>B</b>) of Giarraffa (GIA), Leccino (LEC), and Maurino (MAU) cultivars under control (CTRL, black) and drought stress (DS, orange). Contents are expressed as μg g<sup>−1</sup> tissue dry weight (DW). Values in each column are presented as mean ± standard error. Within each time point, different letters denote statistical significance (<span class="html-italic">p</span>-value &lt; 0.05) according to Tukey’s multiple post hoc tests.</p>
Full article ">Figure 3
<p>PIP1 aquaporin levels in stems of Giarraffa (GIA), Leccino (LEC) and Maurino (MAU) cultivars under control (CTRL) and drought-stress (DS) conditions, at the beginning of stress (t0), two weeks later (t2) and four weeks later (t4). (<b>A</b>) Membranes immunoblotted with anti-aquaporin antibodies from the above experimental groups; (<b>B</b>) relative blot quantification expressed as integrated density (i.d.).</p>
Full article ">Figure 4
<p>Dehydrin levels in leaves of Giarraffa (GIA), Leccino (LEC) and Maurino (MAU) cultivars after two (t2) and four (t4) weeks of stress. (<b>A</b>) Membranes immunoblotted with anti-dehydrin antibodies from the above experimental groups; (<b>B</b>) relative quantification of the blots expressed as integrated density (i.d.).</p>
Full article ">Figure 5
<p>Dehydrin levels in stems of Giarraffa (GIA), Leccino (LEC) and Maurino (MAU) cultivars under control (CTRL) and drought-stress (DS) conditions, at the beginning of stress (t0), two weeks later (t2) and four weeks later (t4). (<b>A</b>) Membranes immunoblotted with anti-dehydrin antibodies from the above experimental groups; (<b>B</b>) relative blotting quantification expressed as integrated density (i.d.).</p>
Full article ">Figure 6
<p>Osmotin levels in leaves of Giarraffa (GIA), Leccino (LEC) and Maurino (MAU) cultivars after two (t2) and four (t4) weeks of stress. (<b>A</b>) Membranes immunoblotted with anti-osmotin antibodies from the above experimental groups; (<b>B</b>) relative quantification of blotting expressed as integrated density (i.d.).</p>
Full article ">Figure 7
<p>Osmotin levels in stems of Giarraffa (GIA), Leccino (LEC) and Maurino (MAU) cultivars under control (CTRL) and drought-stress (DS) conditions, at the beginning of stress (t0), two weeks (t2) and four weeks (t4). (<b>A</b>) Membranes immunoblotted with anti-osmotin antibodies from the above experimental groups; (<b>B</b>) relative blotting quantification expressed as integrated density (i.d.).</p>
Full article ">Figure 8
<p>2D-HSQC NMR spectra of stems from three olive cultivars (Giarraffa, Leccino, and Maurino) subjected to drought stress (DS) (bottom) and their corresponding stem controls (top). The primary lignin structures identified are also shown. A: β-<span class="html-italic">O</span>-4′ alkyl-aryl ethers; B: β-5′ phenylcoumarans; C: β-β′ resinols; F: β-1′-spirodienones Cinnamyl alcohol end-groups (I), cinnamaldehyde end-groups (J), <span class="html-italic">p</span>-hydroxyphenyl units (H), guaiacyl units (G), syringyl units (S), and Cα-oxidized syringyl units (Sʹ). The yellow boxes reflect semi-quantitative estimates of lignin units and compounds. Composition is expressed in molar percent (H + G + S = 100%), and end-groups are expressed as a fraction of the total lignin inter-unit linkage types A–F.</p>
Full article ">Figure 9
<p>Stem sections of <span class="html-italic">Olea europaea</span> cultivars Giarraffa (<b>A</b>), Leccino (<b>B</b>), and Maurino (<b>C</b>). ph: phloem, x: xylem vessels; cz: cambial zone; r: parenchyma ray; f: fibers; p: paratracheal parenchyma; bar corresponds to 20 µm. (<b>D</b>) Frequency distributions (number of vessels by 5 µm diameter) of vessel lumen diameters in the three olive cultivars.</p>
Full article ">
19 pages, 4801 KiB  
Article
Widely Targeted Metabolomics Analysis of the Roots, Stems, Leaves, Flowers, and Fruits of Camellia luteoflora, a Species with an Extremely Small Population
by Weicheng Yang, Fen Liu, Gaoyin Wu, Sheng Liang, Xiaojie Bai, Bangyou Liu, Bingcheng Zhang, Hangdan Chen and Jiao Yang
Molecules 2024, 29(19), 4754; https://doi.org/10.3390/molecules29194754 - 8 Oct 2024
Viewed by 681
Abstract
Camellia luteoflora is a rare and endangered plant endemic to China. It has high ornamental and potential economic and medicinal value, and is an important germplasm resource of Camellia. To understand the distributions and differences in metabolites from different parts of C. luteoflora [...] Read more.
Camellia luteoflora is a rare and endangered plant endemic to China. It has high ornamental and potential economic and medicinal value, and is an important germplasm resource of Camellia. To understand the distributions and differences in metabolites from different parts of C. luteoflora, in this study, we used liquid chromatography–tandem mass spectrometry (LC–MS/MS) to examine the types and contents of chemical constituents in five organs of C. luteoflora: roots, stems, leaves, flowers, and fruits. The results showed that a total of 815 metabolites were identified in the five organs and were classified into 18 main categories, including terpenoids (17.1%), amino acids (10.4%), flavonoids (10.3%), sugars and alcohols (9.8%), organic acids (9.0%), lipids (7.1%), polyphenols (4.8%), alkaloids (4.8%), etc. A total of 684 differentially expressed metabolites (DEMs) in five organs were obtained and annotated into 217 KEGG metabolic pathways, among which metabolic pathways, ABC transporters, the biosynthesis of cofactors, and the biosynthesis of amino acids were significantly enriched. In DEMs, flowers are rich in flavonoids, polyphenols, organic acids, and steroids; fruits are rich in amino acids, alkaloids, vitamins, and xanthones; stems are rich in lignans; and leaves have the highest relative content of phenylpropanoids, ketoaldehydic acids, quinones, sugars and alcohols, terpenoids, coumarins, lipids, and others; meanwhile, the metabolite content is lower in roots. Among the dominant DEMs, 58 were in roots, including arachidonic acid, lucidone, isoliquiritigenin, etc.; 75 were in flowers, including mannose, shikimic acid, d-gluconic acid, kaempferol, etc.; 45 were in the fruit, including pterostilbene, l-ascorbic acid, riboflavin, etc.; 27 were in the stems, including salicylic acid, d-(-)-quinic acid, mannitol, (-)-catechin gallate, etc.; there was a maximum number of 119 dominant metabolites in the leaves, including oleanolic acid, l-glucose, d-arabitol, eugenol, etc. In sum, the rich chemical composition of C. luteoflora and the significant differences in the relative contents of metabolites in different organs will provide theoretical references for the study of tea, flower tea, edible oil, nutraceuticals, and the medicinal components of C. luteoflora. Full article
Show Figures

Figure 1

Figure 1
<p>PCA and metabolite accumulation of different organs of <span class="html-italic">C. luteoflora</span>. (<b>A</b>) Correlation plot between samples; (<b>B</b>) PCA score plot of all samples; (<b>C</b>) cluster heat map of metabolites; (<b>D</b>) classification of metabolites.</p>
Full article ">Figure 2
<p>Analysis of DEMs in five organs of <span class="html-italic">C. luteoflora</span>. (<b>A</b>) The number of different types of DEMs in five organs; (<b>B</b>) the number of up-regulated and down-regulated DEMs between R, F, Fr, S, and L, and the red column represents the up-regulated DEMs; blue column represents down-regulated DEMs; (<b>C</b>) the top 20 KEGG metabolic pathways of DEMs were significantly enriched; (<b>D</b>) petal diagram of DEMs; (<b>E</b>) the heat map of common metabolites.</p>
Full article ">Figure 3
<p>The dominant DEMs of roots, flowers, fruits, stems, and leaves of <span class="html-italic">C. luteoflora</span>. (<b>A</b>) The dominant DEMs of R; (<b>B</b>) The dominant DEMs of F; (<b>C</b>) The dominant DEMs of Fr; (<b>D</b>) The dominant DEMs of S; (<b>E</b>) The dominant DEMs of L.</p>
Full article ">Figure 3 Cont.
<p>The dominant DEMs of roots, flowers, fruits, stems, and leaves of <span class="html-italic">C. luteoflora</span>. (<b>A</b>) The dominant DEMs of R; (<b>B</b>) The dominant DEMs of F; (<b>C</b>) The dominant DEMs of Fr; (<b>D</b>) The dominant DEMs of S; (<b>E</b>) The dominant DEMs of L.</p>
Full article ">Figure 3 Cont.
<p>The dominant DEMs of roots, flowers, fruits, stems, and leaves of <span class="html-italic">C. luteoflora</span>. (<b>A</b>) The dominant DEMs of R; (<b>B</b>) The dominant DEMs of F; (<b>C</b>) The dominant DEMs of Fr; (<b>D</b>) The dominant DEMs of S; (<b>E</b>) The dominant DEMs of L.</p>
Full article ">Figure 3 Cont.
<p>The dominant DEMs of roots, flowers, fruits, stems, and leaves of <span class="html-italic">C. luteoflora</span>. (<b>A</b>) The dominant DEMs of R; (<b>B</b>) The dominant DEMs of F; (<b>C</b>) The dominant DEMs of Fr; (<b>D</b>) The dominant DEMs of S; (<b>E</b>) The dominant DEMs of L.</p>
Full article ">Figure 4
<p>Summary of total metabolite enrichment and some dominant DEMs in roots, flowers, fruits, stems, and leaves of <span class="html-italic">C. luteoflora</span>. The rectangles represent the enrichment of the relative total content of various metabolites in different organs, and the rounded rectangles represent the enrichment of the relative content of some dominant DEMs.</p>
Full article ">Figure 5
<p>The different organs of <span class="html-italic">C. luteoflora</span>. R: Root; F: flower; Fr: fruit; S: stem; L: leaf. Bars = 1 cm.</p>
Full article ">
15 pages, 5627 KiB  
Article
Unraveling the Function of Stress Kinase in the Progeny of Soybean Plants Grown from Low-Temperature Pretreated Seeds
by Mariana Radkova, Miglena Revalska and Anelia Iantcheva
Agriculture 2024, 14(10), 1731; https://doi.org/10.3390/agriculture14101731 - 1 Oct 2024
Viewed by 615
Abstract
The research work was carried out with the progeny of two soybean cultivars, Richy and Izidor, from the years 2019 and 2020. Plants were grown from seeds pretreated with low temperature (2–5 °C) before sowing for two periods of treatment: 12 days marked [...] Read more.
The research work was carried out with the progeny of two soybean cultivars, Richy and Izidor, from the years 2019 and 2020. Plants were grown from seeds pretreated with low temperature (2–5 °C) before sowing for two periods of treatment: 12 days marked as “treated control” (tr. K) and 22 days marked as “treated” (tr.); and “non-treated” (K0) used as a control. Transcriptional profiles of the gene encoding a stress protein kinase were evaluated after the application of abiotic stresses caused by the following: 150 mM NaCl solution/salinity stress/for 24 h; 350 mM mannitol solution/drought stress/for 24 h; and low temperature (4 °C) for 72 h. Transcript levels were established by real-time quantitative reverse transcription polymerase chain reaction (qRT-PCR) in leaf tissue collected from seedlings of the 2019 and 2020 progeny of “tr. K”, “tr.”, and “K0” samples. Analyses determining the quantity of malondialdehyde (MDA) and total antioxidant capacity (TAC) were performed. The expression of investigated stress kinase was highly upregulated after the application of abiotic stress caused by 150 mM solution of NaCl and to a lesser extent by 350 mM solution of mannitol. Detected transcript levels depend on the type of sample out of “tr. K”, “tr.”, and “K0”; the progeny; and the genotype. Full article
(This article belongs to the Section Crop Production)
Show Figures

Figure 1

Figure 1
<p>Transcript level of protein kinase in samples of “tr. K”, “tr.”, and “K0” from the progeny of 2019 and 2020 without abiotic stress. (<b>a</b>) <span class="html-italic">cv</span>. Izidor; (<b>b</b>) <span class="html-italic">cv</span>. Richy. Data represent the mean ± SE. Different letters denote statistically significant differences.</p>
Full article ">Figure 2
<p>Transcript level of protein kinase in samples of “tr. K”, “tr.”, and “K0” from the progeny of 2019 and 2020 after cold stress. (<b>a</b>) <span class="html-italic">cv</span>. Izidor; (<b>b</b>) <span class="html-italic">cv</span>. Richy. Data represent the mean ± SE. Different letters denote statistically significant differences.</p>
Full article ">Figure 3
<p>Transcript level of protein kinase in samples of “tr. K”, “tr.”, and “K0” from the progeny of 2019 and 2020 after drought stress. (<b>a</b>) <span class="html-italic">cv</span>. Izidor; (<b>b</b>) <span class="html-italic">cv</span>. Richy. Data represent the mean ± SE. Different letters denote statistically significant differences.</p>
Full article ">Figure 4
<p>Relative transcript level of stress protein kinase in samples of “tr. K”, “tr.”, and “K0” from the progeny of 2019 and 2020 after salinity stress. (<b>a</b>) <span class="html-italic">cv</span>. Izidor; (<b>b</b>) <span class="html-italic">cv</span>. Richy. Data represent the mean ± SE. Different letters denote statistically significant differences.</p>
Full article ">Figure 5
<p>Estimated TAC activity in samples of “tr. K”, “tr.”, and “K0” from the progeny of 2019 and 2020 of <span class="html-italic">cv</span>. Richy. (<b>a</b>) Without abiotic stress; (<b>b</b>) after salinity stress; (<b>c</b>) after drought stress. Data represent the mean ± SD.</p>
Full article ">Figure 6
<p>Estimated TAC activity in samples of “tr. K”, “tr.”, and “K0” from the progeny of 2019 and 2020 of <span class="html-italic">cv</span>. Izidor. (<b>a</b>) Without abiotic stress; (<b>b</b>) after salinity stress; (<b>c</b>) after drought stress. Data represent the mean ± SD.</p>
Full article ">Figure 7
<p>Established MDA amount in samples of “tr. K”, “tr.”, and “K0” from the progeny of 2019 and 2020 of <span class="html-italic">cv</span>. Richy. (<b>a</b>) Without abiotic stress; (<b>b</b>) after salinity stress; (<b>c</b>) after drought stress. Data represent the mean ± SD.</p>
Full article ">Figure 8
<p>Established MDA amount in samples of “tr. K”, “tr.”, and “K0” from the progeny of 2019 and 2020 of <span class="html-italic">cv</span>. Izidor. (<b>a</b>) Without abiotic stress; (<b>b</b>) after salinity stress; (<b>c</b>) after drought stress. Data represent the mean ± SD.</p>
Full article ">
13 pages, 928 KiB  
Article
Methicillin-Resistant Staphylococcus aureus among Students: Nasal Carriage Rate, Contributing Factors, and Antimicrobial Susceptibility
by Ahsen Taqveem, Muhammad Hidayat Rasool, Bilal Aslam, Fatima Mujahid, Azalfah Ibrar, Hasan Ejaz, Abualgasim Elgaili Abdalla, Yasir Alruwaili, Muharib Alruwaili, Khalid Abosalif, Zeeshan Nawaz and Mohsin Khurshid
Medicina 2024, 60(10), 1590; https://doi.org/10.3390/medicina60101590 - 27 Sep 2024
Viewed by 837
Abstract
Background and Objectives: Staphylococcus aureus is a prominent component of the human flora; however, it can cause various pathological conditions. The emergence of methicillin-resistant S. aureus (MR-SA) has been significantly influenced by the overuse and inappropriate administration of antibiotics. The frequency of [...] Read more.
Background and Objectives: Staphylococcus aureus is a prominent component of the human flora; however, it can cause various pathological conditions. The emergence of methicillin-resistant S. aureus (MR-SA) has been significantly influenced by the overuse and inappropriate administration of antibiotics. The frequency of MR-SA nasal colonization among healthcare workers (HCWs) is increasing, and MR-SA is not restricted to hospital settings, with a notable rise in infections among individuals unrelated to HCWs. This study aimed to assess the prevalence of S. aureus nasal carriage among students at Government College University Faisalabad (GCUF), University of Agriculture Faisalabad (UAF), a Government School (GS), and a Private School (PS) to characterize the phenotypic traits of isolates and evaluate antimicrobial resistance profiles. Materials and Methods: A total of 1200 nasal swabs were inoculated on blood and mannitol salt agar, followed by phenotypic identification of S. aureus and MR-SA using biochemical tests. Antimicrobial susceptibility testing was conducted via the Kirby–Bauer disk diffusion method, and minimum inhibitory concentration (MIC) determination was performed using the broth dilution method. Additionally, nuc and mecA gene amplification through PCR aided in isolate identification. Results: The results revealed that 14% (168) of students harbored S. aureus in their nasal cavities, with 8.5% (102) carrying methicillin-sensitive S. aureus (MSSA) and 5.5% (66) carrying MR-SA. Male students exhibited higher S. aureus (57.7%) and MR-SA (21.4%) prevalence compared to females (42.3% and 17.9%, respectively). Urban students showed a higher S. aureus prevalence (54.2%), while rural students exhibited a higher MR-SA rate (22%). Overall, 80.3% of S. aureus isolates displayed resistance to erythromycin followed by fluoroquinolones (47.6%) and clindamycin (42.2%). All the S. aureus isolates, including MR-SA, remained susceptible to vancomycin and linezolid. PCR results revealed that 95.5% (63) of MR-SA isolates carried the mecA gene. Conclusions: The high prevalence of multi-drug-resistant (MDR) S. aureus raises significant public health concerns, with educational institutions potentially serving as reservoirs for bacterial transmission. The improper use of antibiotics contributes to bacterial resistance and increased infection rates. It is crucial to implement measures to prevent antibiotic misuse and develop comprehensive strategies within educational settings to effectively combat S. aureus and MR-SA prevalence. Full article
(This article belongs to the Section Epidemiology & Public Health)
Show Figures

Figure 1

Figure 1
<p>Comparison of MS-SA and MR-SA by demographic and risk factor data.</p>
Full article ">Figure 2
<p>MIC distribution of vancomycin against <span class="html-italic">S. aureus</span> isolates.</p>
Full article ">Figure 3
<p>Prevalence of the <span class="html-italic">mecA</span> gene among MRSA isolates.</p>
Full article ">
21 pages, 5341 KiB  
Article
Functional Identification and Regulatory Active Site Screening of the DfDXS Gene of Dryopteris fragrans
by Hanxu Zhao, Jiameng Su, Zhaoxuan Zhong, Tongyou Xiong, Weicong Dai, Dongrui Zhang and Ying Chang
Plants 2024, 13(18), 2647; https://doi.org/10.3390/plants13182647 - 21 Sep 2024
Viewed by 650
Abstract
Dryopteris fragrans (L.) Schott has anti-inflammatory and antioxidant properties, and terpenoids are important components of its active constituents. The methyl-D-erythritol 4-phosphate (MEP) pathway is one of the major pathways for the synthesis of terpene precursors in plants, and 1-deoxy-D-xylulose-5-phosphate synthase (DXS) is the [...] Read more.
Dryopteris fragrans (L.) Schott has anti-inflammatory and antioxidant properties, and terpenoids are important components of its active constituents. The methyl-D-erythritol 4-phosphate (MEP) pathway is one of the major pathways for the synthesis of terpene precursors in plants, and 1-deoxy-D-xylulose-5-phosphate synthase (DXS) is the first rate-limiting enzyme in this pathway. DXS has been shown to be associated with increased stress tolerance in plants. In this experiment, two DXS genes were extracted from the D. fragrans transcriptome and named DfDXS1 and DfDXS2. Based on phylogenetic tree and conserved motif analyses, DXS was shown to be highly conserved evolutionarily and its localization to chloroplasts was determined by subcellular localization. Prokaryotic expression results showed that the number and growth status of recombinant colonies were better than the control under 400 mM NaCl salt stress and 800 mM mannitol-simulated drought stress. In addition, the DfDXS1 and DfDXS2 transgenic tobacco plants showed improved resistance to drought and salt stress. DfDXS1 and DfDXS2 responded strongly to methyl jasmonate (MeJA) and PEG-mimicked drought stress following exogenous hormone and abiotic stress treatments of D. fragrans. The transcriptional active sites were investigated by dual luciferase and GUS staining assays, and the results showed that the STRE element (AGGGG), the ABRE element (ACGTGGC), and the MYC element (CATTTG) were the important transcriptional active sites in the promoters of the two DXS genes, which were closely associated with hormone response and abiotic stress. These results suggest that the DfDXS gene of D. fragrans plays an important role in hormone signaling and response to stress. This study provides a reference for analyzing the molecular mechanisms of stress tolerance in D. fragrans. Full article
(This article belongs to the Special Issue Isoprenoids: Metabolic Mechanisms, Bioactivity and Application)
Show Figures

Figure 1

Figure 1
<p>Terpenoid biosynthesis pathway. DXS (marked in red), the first rate-limiting enzyme in the MEP pathway under focus.</p>
Full article ">Figure 2
<p>Evolutionary analyses between DfDXS and other species. (<b>A</b>) Phylogenetic tree analysis of the DXS gene family. DXS of the ferns, purple; DXS I, blue; DXS II, green; DXS III, grey. (<b>B</b>) Multiple sequence alignment of DXS protein. The red underline represents the binding site of thiamine pyrophosphate (TPP_DXS); the yellow underline represents the N-terminal domain of transketolase (Transket_pyr_3); and the blue underline represents the C-terminal domain of transketolase (Transketolase_C).</p>
Full article ">Figure 3
<p>Subcellular localization and prokaryotic expression of DfDXSs. (<b>A</b>) Subcellular localization of DfDXS1 and DfDXS2, Bar = 50 μm. (<b>B</b>) Growth status of recombinant bacteria and control bacteria under simulated stress, 0<sup>0</sup>~10<sup>−3</sup> represent the dilution gradients of <span class="html-italic">E. coli</span> liquid culture.</p>
Full article ">Figure 4
<p>Changes associated with the overexpression of <span class="html-italic">DfDXS1</span> and <span class="html-italic">DfDXS2</span> in transgenic tobacco under salt stress. (<b>A</b>) Comparison of the degree of leaf damage on day 7 after root irrigation treatment with 200 mM NaCl solution. Black arrows indicate the damaged parts of tobacco leaves, bar = 20 mm. (<b>B</b>–<b>E</b>) Physiological parameters of <span class="html-italic">DfDXS1/2</span> overexpressing transgenic tobacco plants under salt stress. An asterisk (*) in the figure indicates that the significant level is 0.05, two asterisks (**) indicate a significant level of 0.01.</p>
Full article ">Figure 5
<p>Changes associated with <span class="html-italic">DfDXS1</span>, <span class="html-italic">DfDXS2</span> transgenic tobacco under drought stress. (<b>A</b>) Phenotypic changes in tobacco treated with natural drought for 10 d compared to wild-type tobacco (WT), bar = 7 cm. (<b>B</b>–<b>E</b>) Physiological indices measured in transgenic tobacco plants overexpressing <span class="html-italic">DfDXS1</span>, <span class="html-italic">DfDXS2</span> under drought stress. An asterisk (*) in the figure indicates that the significant level is 0.05, two asterisks (**) indicate a significant level of 0.01.</p>
Full article ">Figure 6
<p>Expression patterns of <span class="html-italic">DfDXS1</span> and <span class="html-italic">DfDXS2</span> genes under different treatments. (<b>A</b>–<b>D</b>) Changes in the relative expression levels of <span class="html-italic">DfDXS1</span> and <span class="html-italic">DfDXS2</span> under different phytohormone treatments. (<b>E</b>–<b>H</b>) Changes in the relative expression levels of <span class="html-italic">DfDXS1</span> and <span class="html-italic">DfDXS2</span> under different stress treatments. An asterisk (*) in the figure indicates that the significant level is 0.05, two asterisks (**) indicate a significant level of 0.01, three asterisks (***) indicate that the significant level is 0.001, four asterisks.</p>
Full article ">Figure 7
<p>Truncation of the <span class="html-italic">DfDXS1/2</span> promoter and analysis of transcriptional activity. (<b>A</b>) Cloning of truncated fragments and prediction of cis-acting element distribution of <span class="html-italic">DfDXS1</span> gene promoter in <span class="html-italic">D. fragrans.</span> (<b>B</b>) Cloning of truncated fragments and prediction of cis-acting element distribution of <span class="html-italic">DfDXS2</span> gene promoter in <span class="html-italic">D. fragrans.</span> (<b>C</b>) Fluorescence response of truncated fragments of <span class="html-italic">DfDXS1/2</span> promoter of <span class="html-italic">D. fragrans</span> under different stresses. (<b>D</b>) GUS staining of truncated fragments of the <span class="html-italic">DfDXS1/2</span> promoter of <span class="html-italic">D. fragrans</span> under different stresses. The left part of C and D shows the positional distribution of the <span class="html-italic">DfDXS1/2</span> promoter truncation segments transiently transformed in tobacco leaves, where full denotes <span class="html-italic">Pro<sub>DfDXS1/2</sub></span>-full, Δ1 denotes <span class="html-italic">Pro<sub>DfDXS1/2</sub></span>-Δ1, Δ2 denotes <span class="html-italic">Pro<sub>DfDXS1/2</sub></span>-Δ2, Δ3 denotes <span class="html-italic">Pro<sub>DfDXS1/2</sub></span>-Δ3, and Δ4 denotes <span class="html-italic">Pro<sub>DfDXS1/2</sub></span>-Δ4.</p>
Full article ">Figure 8
<p>Heatmap of correlation between key enzyme genes of the MEP pathway and different gene modules of the transcriptome. The darker the color, the greater the correlation. DXS, 1-deoxy-D-xylulose-5-phosphate synthase. DXR, 1-Deoxy-d-xylulose-5-phosphate reductoisomerase. MCT, 2-C-methyl-D-erythritol-4-phosphate cytidylyltransferase. CMK, 4-diphosphocytidyl-2-C-methyl-D-erythritol kinase. MDS, 2-C-Methyl-D-erythritol-2,4-cyclodiphosphate synthase. HDS, hydroxide methyl enylamino 4-cyclodiphosphate synthase. HDR, hydroxy-2-methyl-2-(E)-butenyl 4-diphosphate reductase.</p>
Full article ">Figure 9
<p>Binding sites and 3D structure prediction of <span class="html-italic">DfDXS1</span> cis-acting elements with transcription factors. (<b>A</b>) LG33.587 bonded to the ABRE assembly; (<b>B</b>,<b>C</b>) LG21.134 bonded to each of the two STRE assemblies; (<b>D</b>) LG15.289 bonded to the MYC assembly; and (<b>E</b>) LG.10.782 bonded to the MYC assembly.</p>
Full article ">
Back to TopTop