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17 pages, 5091 KiB  
Article
Potential of Trilayered Gelatin/Polycaprolactone Nanofibers for Periodontal Regeneration: An In Vitro Study
by Zhiwei Tian, Zhongqi Zhao, Marco Aoqi Rausch, Christian Behm, Dino Tur, Hassan Ali Shokoohi-Tabrizi, Oleh Andrukhov and Xiaohui Rausch-Fan
Int. J. Mol. Sci. 2025, 26(2), 672; https://doi.org/10.3390/ijms26020672 (registering DOI) - 15 Jan 2025
Abstract
Over the past few years, biomaterial-based periodontal tissue engineering has gained popularity. An ideal biomaterial for treating periodontal defects is expected to stimulate periodontal-derived cells, allowing them to contribute most efficiently to tissue reconstruction. The present study focuses on evaluating the in vitro [...] Read more.
Over the past few years, biomaterial-based periodontal tissue engineering has gained popularity. An ideal biomaterial for treating periodontal defects is expected to stimulate periodontal-derived cells, allowing them to contribute most efficiently to tissue reconstruction. The present study focuses on evaluating the in vitro behavior of human periodontal ligament-derived stromal cells (hPDL-MSCs) when cultured on gelatin/Polycaprolactone prototype (GPP) and volume-stable collagen matrix (VSCM). Cells were cultured onto the GPP, VSCM, or tissue culture plate (TCP) for 3, 7, and 14 days. Cell morphology, adhesion, proliferation/viability, the gene expression of Collagen type I, alpha1 (COL1A1), Vascular endothelial growth factor A (VEGF-A), Periostin (POSTN), Cementum protein 1 (CEMP1), Cementum attachment protein (CAP), Interleukin 8 (IL-8) and Osteocalcin (OCN), and the levels of VEGF-A and IL-8 proteins were investigated. hPDL-MSCs attached to both biomaterials exhibited a different morphology compared to TCP. GPP exhibited stronger capabilities in enhancing cell viability and metabolic activity compared to VSCM. In most cases, the expression of all investigated genes, except POSTN, was stimulated by both materials, with GPP having a superior effect on COL1A1 and VEGF-A, and VSCM on OCN. The IL-8 protein production was slightly higher in cells grown on VSCM. GPP also exhibited the ability to absorb VEGF-A protein. The gene expression of POSTN was promoted by GPP and slightly suppressed by VSCM. In summary, our findings indicate that GPP electrospun nanofibers effectively promote the functional performance of PDLSCs in periodontal regeneration, particularly in the periodontal ligament and cementum compartment. Full article
(This article belongs to the Special Issue Periodontitis: Advances in Mechanisms, Treatment and Prevention)
Show Figures

Figure 1

Figure 1
<p>Colonization and patterns of cells observation on two scaffolds through SEM. hPDL-MSCs were grown on GPP (<b>a</b>–<b>f</b>) or VSCM (<b>g</b>–<b>l</b>) for 3, 7, or 14 days. The images were taken at magnification 400-fold (<b>left panels</b>) or 1500-fold (<b>right panels</b>). Scale bars correspond to 100 µm and 20 µm, respectively. The yellow arrows indicate cells. GPP demonstrated nanoscale, microscale fiber, and VSCM a porous structure; cell attachment and growth were well-established on both substrates.</p>
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<p>The morphological characteristics of hPDL-MSCs observed on different surface types. hPDL-MSCs were grown on GPP (<b>a</b>,<b>d</b>,<b>g</b>), VSCM (<b>b</b>,<b>e</b>,<b>h</b>) or TCP (<b>c</b>,<b>f</b>,<b>i</b>) for 3, 7, or 14 days and stained with a focal adhesion staining kit. F-actin was stained with TRITC-conjugated phalloidin (red) and the nucleus with DAPI (blue).The images were captured at 100-fold magnification; scale bars correspond to 50 µm. The cells exhibited different morphologies and distributions on the three different materials.</p>
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<p>Assessment of the proliferation/viability of hPDL-MSCs when cultured on GPP, VSCM, and TCP surfaces. Cells were cultured on different substrates for 3, 7, and 14 days, and their proliferation/viability was measured using a CCK-8 assay. The Y-axis shows the OD values measured at 450 nm. Data are presented as mean ± SD of five independent experiments with hPDL-MSCs isolated from five different donors. * and **—significantly different between substrates with <span class="html-italic">p</span> &lt; 0.05 and 0.01, respectively. #—significantly different between day 3 and day 7 on the same substrate. †—significantly different between day 7 and day 14 on the same substrate.</p>
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<p>Metabolic activity of hPDL-MSCs grown on GPP, VSCM, and TCP. Cells were cultured on different substrates for 3, 7, and 14 days, and their metabolic activity was measured using a resazurin-based assay. The Y-axis shows the fluorescence measured with the excitation settings at 540/34 nm and emission at 600/40 nm. Data are presented as mean ± SD of five independent experiments with hPDL-MSCs isolated from five different donors. * and **—significantly different between substrates with <span class="html-italic">p</span> &lt; 0.05 and 0.01, respectively. #—significantly different between day 3 and day 7 on the same substrate. †—significantly different between day 7 and day 14 on the same substrate.</p>
Full article ">Figure 5
<p>Analysis of gene expression for diverse biomarkers in hPDL-MSCs cultured on different types of materials. hPDL-MSCs were cultured on different substrates for 3, 7, and 14 days, and the gene expression of COL1A1 (<b>a</b>), POSTN (<b>b</b>), CEMP-1 (<b>c</b>), CAP (<b>d</b>), VEGF-A (<b>e</b>), IL-8 (<b>f</b>), and OCN (<b>g</b>) was measured by qPCR. Y-axes show <span class="html-italic">n</span>-fold expression of the corresponding gene in relation to that measured on tissue culture plastic on day 3 and calculated by a 2<sup>−ΔΔCt</sup> method using GAPDH as a housekeeping gene. Comparison results of OCN was ultimately limited to day 14, as its values were too low for reliable detection at early time points. Data are presented as mean ± SD of five independent experiments with hPDL-MSCs isolated from five different donors. * and **—significantly different between substrates with <span class="html-italic">p</span> &lt; 0.05 and 0.01, respectively.</p>
Full article ">Figure 6
<p>IL-8 protein production by hPDL-MSCs grown on three types of substrates. The content of IL-8 in the conditioned media was measured by ELISA after 3, 7, and 14 days of culture. Data are presented as mean ± SD of five independent experiments with hPDL-MSCs isolated from five different donors. * and **—significantly different between substrates with <span class="html-italic">p</span> &lt; 0.05 and 0.01, respectively.</p>
Full article ">Figure 7
<p>VEGF protein production by cells and absorption by materials. (<b>a</b>)—hPDL-MSCs were cultured on different substrates for 3, 7, and 14 days, and the content of VEGF in conditioned media was measured by ELISA. (<b>b</b>)—the scaffolds were incubated in a medium containing 10 ng/mL recombinant VEGF protein for 6 h at 37 °C, and the content of VEGF in conditioned media was determined by ELISA at the end of the incubation. (<b>c</b>)—after incubation with recombinant VEGF, the scaffolds were incubated for an additional 24 h in a medium, and the amount of released VEGF was measured by ELISA. Data are presented as mean ± SD of five independent experiments with hPDL-MSCs isolated from five different donors. * and **—significantly different between substrates with <span class="html-italic">p</span> &lt; 0.05 and 0.01, respectively.</p>
Full article ">
24 pages, 21684 KiB  
Article
An Effective Iterative Process Utilizing Transcendental Sine Functions for the Generation of Julia and Mandelbrot Sets
by Khairul Habib Alam, Yumnam Rohen, Anita Tomar, Naeem Saleem, Maggie Aphane and Asima Razzaque
Fractal Fract. 2025, 9(1), 40; https://doi.org/10.3390/fractalfract9010040 (registering DOI) - 15 Jan 2025
Abstract
This study presents an innovative iterative method designed to approximate common fixed points of generalized contractive mappings. We provide theorems that confirm the convergence and stability of the proposed iteration scheme, further illustrated through examples and visual demonstrations. Moreover, we apply s-convexity [...] Read more.
This study presents an innovative iterative method designed to approximate common fixed points of generalized contractive mappings. We provide theorems that confirm the convergence and stability of the proposed iteration scheme, further illustrated through examples and visual demonstrations. Moreover, we apply s-convexity to the iteration procedure to construct orbits under convexity conditions, and we present a theorem that determines the condition when a sequence diverges to infinity, known as the escape criterion, for the transcendental sine function sin(um)αu+β, where u,α,βC and m2. Additionally, we generate chaotic fractals for this orbit, governed by escape criteria, with numerical examples implemented using MATHEMATICA software. Visual representations are included to demonstrate how various parameters influence the coloration and dynamics of the fractals. Furthermore, we observe that enlarging the Mandelbrot set near its petal edges reveals the Julia set, indicating that every point in the Mandelbrot set contains substantial data corresponding to the Julia set’s structure. Full article
(This article belongs to the Special Issue Fixed Point Theory and Fractals)
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Figure 1

Figure 1
<p>The surface above illustrates the right-hand-side term, while the surface below represents the left-hand-side term of the inequality in the general contractive condition.</p>
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<p>Convergence of iterations.</p>
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<p>The surface above illustrates the right-hand-side term, while the surface below represents the left-hand-side term of the inequality in the general contractive condition.</p>
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<p>Convergence of iterations.</p>
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<p>(<b>i</b>–<b>vi</b>) Effect of <span class="html-italic">m</span> on fractals as a Julia set.</p>
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<p>(<b>i</b>–<b>vi</b>) Effect of <math display="inline"><semantics> <mi>α</mi> </semantics></math> on fractals as Julia sets.</p>
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<p>(<b>i</b>–<b>iii</b>) Effect of <math display="inline"><semantics> <mi>β</mi> </semantics></math> on fractals as Julia sets.</p>
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<p>(<b>i</b>–<b>iii</b>) Effect of <span class="html-italic">s</span> on fractals as Julia sets.</p>
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<p>(<b>i</b>–<b>iii</b>) Effect of <span class="html-italic">a</span> on fractals as Julia sets.</p>
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<p>(<b>i</b>–<b>iii</b>) Effect of <math display="inline"><semantics> <mrow> <msub> <mi>γ</mi> <mn>1</mn> </msub> <mo>,</mo> <msub> <mi>γ</mi> <mn>2</mn> </msub> <mo>,</mo> <msub> <mi>γ</mi> <mn>3</mn> </msub> <mo>,</mo> <msub> <mi>γ</mi> <mn>4</mn> </msub> </mrow> </semantics></math> on fractals as Julia sets.</p>
Full article ">Figure 11
<p>(<b>i</b>–<b>vi</b>) Effect of random choice of parameters on fractals as Julia sets.</p>
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<p>(<b>i</b>–<b>vi</b>) Effect of <span class="html-italic">m</span> on fractals as Mandelbrot sets.</p>
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<p>(<b>i</b>–<b>vi</b>) Effect of <math display="inline"><semantics> <mi>α</mi> </semantics></math> on fractals as Mandelbrot sets.</p>
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<p>(<b>i</b>–<b>vi</b>) Effect of <span class="html-italic">s</span> on fractals as Mandelbrot set.</p>
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<p>(<b>i</b>–<b>iii</b>) Effect of <span class="html-italic">a</span> on fractals as Mandelbrot sets.</p>
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<p>The Figure shows a source code for generating Julia set.</p>
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<p>The Figure shows a source code for generating Mandelbrot set.</p>
Full article ">
12 pages, 862 KiB  
Article
The Feasibility of an Online Lifestyle Intervention During the COVID-19 Pandemic on the BMI Z-Score of Mexican Schoolchildren: A Pilot Randomized Controlled Trial
by Diana L. Ramírez-Rivera, Teresita Martínez-Contreras, Alma L. Ruelas, Trinidad Quizán-Plata, Julián Esparza-Romero, Michelle M. Haby and Rolando G. Díaz-Zavala
Obesities 2025, 5(1), 3; https://doi.org/10.3390/obesities5010003 (registering DOI) - 15 Jan 2025
Abstract
The COVID-19 pandemic was a risky period for childhood obesity, due to the increase in unhealthy behaviors. Online interventions could prevent this problem. The aim of this study was to evaluate the feasibility and explore the effect of an online program on the [...] Read more.
The COVID-19 pandemic was a risky period for childhood obesity, due to the increase in unhealthy behaviors. Online interventions could prevent this problem. The aim of this study was to evaluate the feasibility and explore the effect of an online program on the BMI z-score of Mexican schoolchildren at 4 months during the pandemic. A pilot randomized controlled trial was conducted with 54 children. The intervention included three online sessions per week of nutrition and physical activity, as well as nutrition information for parents during 4 months. The control group received one nutrition digital brochure. Of the schoolchildren enrolled, 87% completed the study, and the intervention group attended 46% of the classes. At the end of the intervention, no significant difference between groups in the BMI z-score was observed (−0.02, 95% CI −0.19 to 0.15). However, the intervention group improved their quality of life and daily fruit consumption. This online intervention implemented during the COVID-19 pandemic was feasible, and the exploratory analysis showed positive trends in quality of life and daily fruit consumption but not in the BMI z-score and other secondary variables of Mexican schoolchildren. Additional strategies may be needed to improve attendance in online interventions and their impact on BMI in this age group. Full article
(This article belongs to the Special Issue Obesity and Its Comorbidities: Prevention and Therapy)
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Figure 1

Figure 1
<p>Flow diagram of participants recruited for the 4-month pilot randomized controlled trial during the COVID-19 pandemic.</p>
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<p>Changes in BMI z-score at four months of intervention. Note: means and CI 95% were used to build this figure.</p>
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23 pages, 2583 KiB  
Article
Pearl Millet Cover Crop Extract Inhibits the Development of the Weed Ipomoea grandifolia by Inducing Oxidative Stress in Primary Roots and Affecting Photosynthesis Efficiency
by Gislaine Cristiane Mantovanelli, Adriano Antônio Silva, Letycia Lopes Ricardo, Fernanda Lima Kagami, Jéssica Dario de Almeida, Mauro Cezar Barbosa, Márcio Shigueaki Mito, Isabela de Carvalho Contesoto, Paulo Vinicius Moreira da Costa Menezes, Gabriel Felipe Stulp, Beatriz Pereira Moreno, Francielli Alana Pereira Valeze, Rubem Silvério de Oliveira Junior, Debora Cristina Baldoqui and Emy Luiza Ishii Iwamoto
Plants 2025, 14(2), 222; https://doi.org/10.3390/plants14020222 (registering DOI) - 15 Jan 2025
Abstract
The cover crop Pennisetum glaucum (L.) R.Br. (pearl millet) reduces the emergence of weed species in the field through a mechanism that is not fully known. The identification of the allelopathic activity of pearl millet can contribute to the development of no-tillage techniques [...] Read more.
The cover crop Pennisetum glaucum (L.) R.Br. (pearl millet) reduces the emergence of weed species in the field through a mechanism that is not fully known. The identification of the allelopathic activity of pearl millet can contribute to the development of no-tillage techniques to produce crops without or with low doses of herbicides. This issue was investigated by testing the effects of extracts from the aerial parts of pearl millet on the germination and growth of the weeds Bidens pilosa L., Euphorbia heterophylla L., and Ipomoea grandifolia (Dammer) O’Donell under laboratory conditions. The ethyl acetate fraction (EAF) at a concentration of 2000 µg mL−1 was inactive on Bidens pilosa; it inhibited root length (−72%) and seedling fresh weight (−41%) of E. heterophylla, and in I. grandifolia the length of primary root and aerial parts and the fresh and dry weight of seedlings were reduced by 63%, 32%, 25%, and 12%, respectively. In roots of I. grandifolia seedlings, at the initial development stage, EAF induced oxidative stress and increased electrolyte leakage. At the juvenile vegetative stage, a lower concentration of EAF (250 µg mL−1) induced a stimulus in seedling growth (+60% in root length and +23% in aerial parts length) that was associated with increased photosynthetic efficiency. However, at higher concentrations (1000 µg mL−1), it induced the opposite effects, inhibiting the growth of root (−41%) and aerial parts (−25%), with reduced superoxide dismutase activity and photosynthetic efficiency. The stilbenoid pallidol was identified as the main compound in EAF. The allelopathic activity of pearl millet may be attributed, at least in part, to the impairment of energy metabolism and the induction of oxidative stress in weed seedlings, with pallidol possibly involved in this action. Such findings demonstrated that the application of the EAF extract from pearl millet can be a natural and renewable alternative tool for weed control. Full article
(This article belongs to the Special Issue Allelopathy in Agroecosystems)
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Figure 1

Figure 1
<p>The effects of the EAF (ethyl acetate fraction) and ButF (butanolic fraction) of pearl millet on germination (%) (<b>a</b>,<b>b</b>,<b>c</b>), primary root length (<b>d</b>,<b>e</b>,<b>f</b>), aerial parts length (<b>g</b>,<b>h</b>,<b>i</b>), fresh weight (<b>j</b>,<b>k</b>,<b>l</b>), and dry weight of seedlings (<b>m</b>,<b>n</b>,<b>o</b>) of <span class="html-italic">Euphorbia heterophylla</span>, <span class="html-italic">Bidens pilosa</span>, and <span class="html-italic">Ipomoea grandifolia</span>. The seeds were incubated for 96 h in the presence of water (control), EAF, or ButF of pearl millet at 2000 µg mL<sup>−1</sup> concentration. Each data point is the mean + SE (<span class="html-italic">n</span> = 5). Significant differences between means were identified using ANOVA with Tukey’s HSD test. Different letters indicate that the treatment means differed significantly at <span class="html-italic">p</span> ≤ 0.05.</p>
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<p>The effects of the EAF (ethyl acetate fraction) of pearl millet on the primary root length (<b>a</b>), aerial parts length (<b>b</b>), fresh weight (<b>c</b>), and dry weight (<b>d</b>) of <span class="html-italic">Ipomoea grandifolia</span>. The seeds were incubated for 96 h, in the presence of water (control) or the EAF of pearl millet (500–2000 µg mL<sup>−1</sup>). Each data point is the mean + SE (<span class="html-italic">n</span> = 5). Significant differences between means were identified using ANOVA with Tukey’s HSD test. Different letters indicate that means differed significantly at <span class="html-italic">p</span> ≤ 0.05.</p>
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<p>The effects of the EAF (ethyl acetate fraction) of pearl millet on total respiration (<span class="html-italic">n</span> = 5), potassium cyanide-insensitive (KCN-insensitive) respiration (<span class="html-italic">n</span> = 4), and potassium cyanide-sensitive (KCN-sensitive) respiration (<span class="html-italic">n</span> = 4–6) (<b>a</b>); MDA content (<b>b</b>) (<span class="html-italic">n</span> = 4–5); proline content (<b>c</b>) (<span class="html-italic">n</span> = 4–5); and electrical conductivity (<b>d</b>) (<span class="html-italic">n</span> = 4–5) of <span class="html-italic">Ipomoea grandifolia</span> roots from seedlings grown for 96 h in the presence of water (control) or the EAF of pearl millet (500–2000 µg mL<sup>−1</sup>). Each data point is the mean + SE. Significant differences between means were identified by ANOVA with Tukey’s HSD test. Different letters indicate that means differed significantly at <span class="html-italic">p</span> ≤ 0.05.</p>
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<p>The effects of the EAF (ethyl acetate fraction) of pearl millet on the activities of superoxide dismutase (<b>a</b>) (<span class="html-italic">n</span> = 5), catalase (<b>b</b>) (<span class="html-italic">n</span> = 5), ascorbate peroxidase (<b>c</b>) (<span class="html-italic">n</span> = 7), and peroxidase (<b>d</b>) (<span class="html-italic">n</span> = 6) of <span class="html-italic">Ipomoea grandifolia</span> roots from seedlings grown for 96 h in the presence of water (control) or the EAF of pearl millet (500–2000 µg mL<sup>−1</sup>). Each data point is the mean + SE. Significant differences between means were identified by ANOVA with Tukey’s HSD test. Different letters indicate that means differed significantly at <span class="html-italic">p</span> ≤ 0.05.</p>
Full article ">Figure 5
<p>The effects of the EAF (ethyl acetate fraction) of pearl millet on the root length (<b>a</b>), aerial part length (<b>b</b>), root fresh weight (<b>c</b>), aerial part fresh weight (<b>d</b>), root dry weight (<b>e</b>), and aerial part dry weight (<b>f</b>) of <span class="html-italic">Ipomoea grandifolia</span>. The plants were grown for 30 days in the presence of water (control) or the EAF of pearl millet (250–1000 µg mL<sup>−1</sup>). Each data point is the mean + SE (<span class="html-italic">n</span> = 5). Significant differences between means were identified by ANOVA with Tukey’s HSD test. Different letters indicate that means differed significantly at <span class="html-italic">p</span> ≤ 0.05.</p>
Full article ">Figure 6
<p>The effects of the EAF (ethyl acetate fraction) of pearl millet on the number of leaves (<b>a</b>), leaf area (<b>b</b>), leaf fresh weight (<b>c</b>), and leaf dry weight (<b>d</b>) of <span class="html-italic">Ipomoea grandifolia</span>. The plants were grown for 30 days in the presence of water (control) or the EAF of pearl millet (250–1000 µg mL<sup>−1</sup>). Each data point is the mean + SE (<span class="html-italic">n</span> = 5). Significant differences between means were identified by ANOVA with Tukey’s HSD test. Different letters indicate that means differed significantly at <span class="html-italic">p</span> ≤ 0.05.</p>
Full article ">Figure 7
<p>The effects of the EAF (ethyl acetate fraction) of pearl millet on the intercellular CO<sub>2</sub> concentration, Ci (<b>a</b>), stomatal conductance, g<sub>s</sub> (<b>b</b>), transpiration, E (<b>c</b>), and photosynthetic rate, A (<b>d</b>) of <span class="html-italic">Ipomoea grandifolia</span>. The plants were grown for 30 days in the presence of water (control) or the EAF of pearl millet (250–1000 µg mL<sup>−1</sup>). Each data point is the mean + SE (<span class="html-italic">n</span> = 5). Significant differences between means were identified by ANOVA with Tukey’s HSD test. Different letters indicate that means differed significantly at <span class="html-italic">p</span> ≤ 0.05.</p>
Full article ">Figure 8
<p>The effects of the EAF of pearl millet on the water use efficiency (WUE) (<b>a</b>), A/Ci ratio (<b>b</b>), and relative chlorophyll content (<b>c</b>) of <span class="html-italic">Ipomoea grandifolia</span>. The plants were grown for 30 days in the presence of water (control) or the EAF of pearl millet (250–1000 µg mL<sup>−1</sup>). Each data point is the mean + SE (<span class="html-italic">n</span> = 5). Significant differences between means were identified by ANOVA with Tukey’s HSD test. Different letters indicate that means differed significantly at <span class="html-italic">p</span> ≤ 0.05.</p>
Full article ">Figure 9
<p>The effects of the EAF (ethyl acetate fraction) of pearl millet on the activities of superoxide dismutase (<b>a</b>) (<span class="html-italic">n</span> = 3–4), catalase (<b>b</b>) (<span class="html-italic">n</span> = 3–4), peroxidase (<b>c</b>) (<span class="html-italic">n</span> = 3–5), and glutathione reductase (<b>d</b>) (<span class="html-italic">n</span> = 4–5) of <span class="html-italic">Ipomoea grandifolia</span> leaves from seedlings grown for 30 days in the presence of water (control) or the EAF of pearl millet (250–1000 µg mL<sup>−1</sup>). Each data point is the mean + SE. Significant differences between means were identified by ANOVA with Tukey’s HSD test. Different letters indicate that means differed significantly at <span class="html-italic">p</span> ≤ 0.05.</p>
Full article ">Figure 10
<p>Chromatograms obtained by injection of pallidol (<b>a</b>) and ethyl acetate fraction (<b>b</b>). Analysis conditions: elution gradient, 5% A to 100% A (0–30 min) and 100% A (30–45 min); solvent A: acetonitrile; solvent B: water; flow rate 1.0 mL/min at λ = 282 nm.</p>
Full article ">Figure 11
<p>Chemical structures of pallidol and carasiphenol C.</p>
Full article ">
18 pages, 22026 KiB  
Article
The Effects of Pilot Structure on the Lean Ignition Characteristics of the Internally Staged Combustor
by Zhengyan Guo, Yan Lu, Jingtao Yuan, Pimin Chen, Qibin Zhang and Wei Fan
Energies 2025, 18(2), 349; https://doi.org/10.3390/en18020349 (registering DOI) - 15 Jan 2025
Abstract
In order to explore the influence of pilot structure on the lean ignition characteristics in a certain type of internally staged combustor, the current study was conducted on the effects of the auxiliary fuel nozzle diameter, the rotating direction of the pilot swirler, [...] Read more.
In order to explore the influence of pilot structure on the lean ignition characteristics in a certain type of internally staged combustor, the current study was conducted on the effects of the auxiliary fuel nozzle diameter, the rotating direction of the pilot swirler, and the swirl number on the lean ignition fuel–gas ratio limit, combining numerical simulation and experimental validation. The optimization potential of the mixing structure of this type of internally staged combustor was further explored. It indicated that the lean ignition fuel–gas ratio limit was significantly influenced by the diameter of the auxiliary fuel nozzles the swirl number of the pilot swirler and the combination of the same rotating direction for both pilot swirlers, while the mass flow rate of air was constant. Increasing the diameter of the auxiliary fuel path nozzles (0.4~0.6 mm) and having excessively higher or lower swirl numbers of the pilot module primary swirlers are not conducive to broadening the lean ignition boundary. Compared with the two-stage pilot swirler with the same rotation combination, the fuel–gas ignition performance of the two-stage pilot swirler with the opposite rotation combination is better. Under the typical working conditions (the air mass flow rate is 46.7 g/s and the ignition energy is 4 J), for a pilot swirler with a rotating direction opposite to the main swirler, the diameter of the auxiliary fuel nozzles is 0.2 mm, the swirl number of first-stage of pilot swirler is 1.4, and the lean ignition fuel–air ratio was reduced to 0.0121, which is 32.78% lower than the baseline scheme, which further broadens the lean ignition boundary of the centrally staged combustion chamber. Full article
(This article belongs to the Section I2: Energy and Combustion Science)
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<p>A schematic diagram of the internally staged combustor.</p>
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<p>The computational fluid domain of the internally staged combustor.</p>
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<p>A schematic diagram of the combustor grid.</p>
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<p>Grid-independent verification.</p>
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<p>The average temperature of the initial fire core at the end of discharge.</p>
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<p>The radial length of the initial fire core at the end of discharge.</p>
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<p>Trends in the development of fire cores at different time steps.</p>
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<p>A schematic diagram of the experimental system.</p>
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<p>Temperature contour of Y = 0 cross-section during ignition.</p>
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<p>Flame propagation process with air flow rate when ignition is successful.</p>
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<p>Flame propagation process during ignition failure.</p>
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<p>Repeatability experiment of lean ignition limit fuel–gas ratio.</p>
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<p>Streamline diagram of Y = 0 section axis velocity of C1 model.</p>
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<p>Temperature distribution of different models at the time of full flame development in Y = 0 section.</p>
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<p>The distribution of kerosene droplet size under different models in the <span class="html-italic">Y</span> = 0 section.</p>
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<p>Temperature distribution of the C4 model at lean ignition fuel–gas ratio limit.</p>
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<p>Velocity contour of X = 0.026 m cross-section.</p>
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<p>Temperature distribution of the C5 model at lean ignition fuel–gas ratio limit.</p>
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<p>Distribution of velocity flow field in Y = 0 section of C5 scheme.</p>
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<p>Lean ignition fuel–gas ratios limit under different swirl numbers of the pilot module primary swirlers.</p>
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<p>Optimization rate of lean ignition performance under different schemes.</p>
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16 pages, 7348 KiB  
Article
Optimization of Urban Fire Emergency Resource Allocation Based on Pre-Allocated Swarm Algorithm
by Xiaolei Zhang, Kaigong Zhao, Shang Gao and Changming Li
Fire 2025, 8(1), 27; https://doi.org/10.3390/fire8010027 (registering DOI) - 15 Jan 2025
Abstract
As a high-frequency disaster with potentially devastating consequences, urban fires not only threaten the lives of city residents but can also lead to severe property losses, especially for hazardous chemical leaking scenarios. Quick and scientific decision-making regarding resource allocation during urban fire emergency [...] Read more.
As a high-frequency disaster with potentially devastating consequences, urban fires not only threaten the lives of city residents but can also lead to severe property losses, especially for hazardous chemical leaking scenarios. Quick and scientific decision-making regarding resource allocation during urban fire emergency responses is crucial for reducing disaster damages. Based on several key factors such as the number of trapped individuals and hazardous chemical leaks during the early stages of an incident, an emergency weight system for resource allocation is proposed to effectively address complex situations. In addition, a multi-objective optimization model is built to achieve the shortest response time for emergency rescue teams and the lowest cost for material transportation. Additionally, a pre-allocated bee swarm algorithm is introduced to mitigate the issue of local incident points being unable to participate in rescue due to low weights, and a comparison of traditional genetic algorithms and particle swarm optimization algorithms is conducted. Experiments conducted in a virtual urban fire scenario validate the effectiveness of the proposed model. The results demonstrate that the proposed model can effectively achieve the dual goals of minimizing transportation time and costs. Furthermore, the bee swarm algorithm exhibits advantages in convergence speed, allowing for the faster identification of ideal solutions, thereby providing a scientific basis for the rapid allocation of resources in urban fire emergency rescues. Full article
(This article belongs to the Special Issue Advances in Industrial Fire and Urban Fire Research: 2nd Edition)
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<p>Setting of the emergency rescue scenario.</p>
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<p>Types of supplies and reserve quantities at the rescue center.</p>
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<p>Flowchart of the BSA algorithm.</p>
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<p>Transportation costs of various supplies from rescue points to accident sites. (<b>a</b>) Material 1; (<b>b</b>) Material 2; (<b>c</b>) Material 3; (<b>d</b>) Material 4; (<b>e</b>) Material 5; (<b>f</b>) Material 6; (<b>g</b>) Material 7.</p>
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<p>Transportation costs of various supplies from rescue points to accident sites. (<b>a</b>) Material 1; (<b>b</b>) Material 2; (<b>c</b>) Material 3; (<b>d</b>) Material 4; (<b>e</b>) Material 5; (<b>f</b>) Material 6; (<b>g</b>) Material 7.</p>
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<p>Time costs of transporting various supplies from rescue points to accident site. (<b>a</b>) Material 1; (<b>b</b>) Material 2; (<b>c</b>) Material 3; (<b>d</b>) Material 4; (<b>e</b>) Material 5; (<b>f</b>) Material 6; (<b>g</b>) Material 7.</p>
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<p>Time costs of transporting various supplies from rescue points to accident site. (<b>a</b>) Material 1; (<b>b</b>) Material 2; (<b>c</b>) Material 3; (<b>d</b>) Material 4; (<b>e</b>) Material 5; (<b>f</b>) Material 6; (<b>g</b>) Material 7.</p>
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<p>Results of the BSA (<b>a</b>) and the algorithm’s iteration process diagram (<b>b</b>).</p>
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<p>Resource allocation scheme using GA (<b>a</b>) and algorithm iteration process diagram (<b>b</b>).</p>
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<p>Resource allocation scheme using PSO (<b>a</b>) and algorithm iteration process diagram (<b>b</b>).</p>
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22 pages, 3116 KiB  
Article
Verification and Usability of Indoor Air Quality Monitoring Tools in the Framework of Health-Related Studies
by Alicia Aguado, Sandra Rodríguez-Sufuentes, Francisco Verdugo, Alberto Rodríguez-López, María Figols, Johannes Dalheimer, Alba Gómez-López, Rubèn González-Colom, Artur Badyda and Jose Fermoso
Air 2025, 3(1), 3; https://doi.org/10.3390/air3010003 - 14 Jan 2025
Abstract
Indoor air quality (IAQ) significantly impacts human health, particularly in enclosed spaces where people spend most of their time. This study evaluates the performance of low-cost IAQ sensors, focusing on their ability to measure carbon dioxide (CO2) and particulate matter (PM) [...] Read more.
Indoor air quality (IAQ) significantly impacts human health, particularly in enclosed spaces where people spend most of their time. This study evaluates the performance of low-cost IAQ sensors, focusing on their ability to measure carbon dioxide (CO2) and particulate matter (PM) under real-world conditions. Measurements provided by these sensors were verified against calibrated reference equipment. The study utilized two commercial devices from inBiot and Kaiterra, comparing their outputs to a reference sensor across a range of CO2 concentrations (500–1200 ppm) and environmental conditions (21–25 °C, 27–92% RH). Data were analyzed for relative error, temporal stability, and reproducibility. Results indicate strong correlation between low-cost sensors (LCSs) and the reference sensor at lower CO2 concentrations, with minor deviations at higher levels. Environmental conditions had minimal impact on sensor performance, highlighting robustness to temperature and humidity within the tested ranges. For PM measurements, low-cost sensors effectively tracked trends, but inaccuracies increased with particle concentration. Overall, these findings support the feasibility of using low-cost sensors for non-critical IAQ monitoring, offering an affordable alternative for tracking CO2 and PM trends. Additionally, LCSs can assess long-term exposure to contaminants, providing insights into potential health risks and useful information for non-expert users. Full article
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<p>Test chamber used for verification of the low-cost sensors.</p>
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<p>Examples of evolution of CO<sub>2</sub> concentration in two different trials: (<b>a</b>) Trial #6, in which the CO<sub>2</sub> concentration is constant. (<b>b</b>) Trial #10, in which the CO<sub>2</sub> concentration is increased.</p>
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<p>Results from all CO<sub>2</sub> sensors versus the ideal results according to the reference sensor.</p>
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<p>Distribution of relative errors for each CO<sub>2</sub> sensor.</p>
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<p>Relative error versus environmental conditions.</p>
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<p>Example of evolution of PM<sub>1</sub> concentration in trial #3.</p>
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<p>Results from all PM<sub>1</sub> sensors versus the ideal results according to the reference sensor.</p>
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<p>Distribution of relative errors for each PM<sub>1</sub> sensor.</p>
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<p>Example of evolution of PM<sub>2.5</sub> concentration in trial #3.</p>
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<p>Results from all PM<sub>2.5</sub> sensors versus the ideal results according to the reference sensor.</p>
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<p>Distribution of relative errors for each PM<sub>2.5</sub> sensor.</p>
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<p>Example of evolution of PM<sub>10</sub> concentration in trial #3.</p>
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<p>Results from all PM<sub>10</sub> sensors versus the ideal results according to the reference sensor.</p>
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<p>Distribution of relative errors for each PM<sub>10</sub> sensor.</p>
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23 pages, 20381 KiB  
Article
In and out of Replication Stress: PCNA/RPA1-Based Dynamics of Fork Stalling and Restart in the Same Cell
by Teodora Dyankova-Danovska, Sonya Uzunova, Georgi Danovski, Rumen Stamatov, Petar-Bogomil Kanev, Aleksandar Atemin, Aneliya Ivanova, Radoslav Aleksandrov and Stoyno Stoynov
Int. J. Mol. Sci. 2025, 26(2), 667; https://doi.org/10.3390/ijms26020667 - 14 Jan 2025
Abstract
Replication forks encounter various impediments, which induce fork stalling and threaten genome stability, yet the precise dynamics of fork stalling and restart at the single-cell level remain elusive. Herein, we devise a live-cell microscopy-based approach to follow hydroxyurea-induced fork stalling and subsequent restart [...] Read more.
Replication forks encounter various impediments, which induce fork stalling and threaten genome stability, yet the precise dynamics of fork stalling and restart at the single-cell level remain elusive. Herein, we devise a live-cell microscopy-based approach to follow hydroxyurea-induced fork stalling and subsequent restart at 30 s resolution. We measure two distinct processes during fork stalling. One is rapid PCNA removal, which reflects the drop in DNA synthesis. The other is gradual RPA1 accumulation up to 2400 nt of ssDNA per fork despite an active intra-S checkpoint. Restoring the nucleotide pool enables a prompt restart without post-replicative ssDNA and a smooth cell cycle progression. ATR, but not ATM inhibition, accelerates hydroxyurea-induced RPA1 accumulation nine-fold, leading to RPA1 exhaustion within 20 min. Fork restart under ATR inhibition led to the persistence of ~600 nt ssDNA per fork after S-phase, which reached 2500 nt under ATR/ATM co-inhibition, with both scenarios leading to mitotic catastrophe. MRE11 inhibition had no effect on PCNA/RPA1 dynamics regardless of ATR activity. E3 ligase RAD18 was recruited at stalled replication forks in parallel to PCNA removal. Our results shed light on fork dynamics during nucleotide depletion and provide a valuable tool for interrogating the effects of replication stress-inducing anti-cancer agents. Full article
(This article belongs to the Special Issue DNA Damage and DNA Repair Pathways in Cancer Development)
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<p>Nuclear distribution of PCNA and RPA1 during hydroxyurea-induced replication stress. (<b>A</b>) Comparison of the expression level of BAC-tagged PCNA-mCherry and RPA1-EGFP versus their endogenous counterparts via Western blotting. (<b>B</b>) Representative timelapse airyscan images of RPA1-EGFP and PCNA-mCherry before and during HU-induced replication stress. Scale bar = 5 µm. (<b>C</b>) Same as (<b>B</b>), but in the presence of ATR inhibitor AZD6738 before and during HU treatment. Scale bar = 5 µm. Abbreviations: HU: hydroxyurea; AZD: AZD6738.</p>
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<p>Dynamics of RPA1 and PCNA during HU-induced replication fork stalling and restart. (<b>A</b>) Representative time-lapse images of RPA1 and PCNA before, during, and after HU treatment. Arrows indicate timepoints of HU addition and washout. Scale bar = 5 µm. (<b>B</b>) Same as (<b>A</b>), but with inhibition of ATR (3 µM AZD6738) throughout the experimental period. (<b>C</b>) Normalized intensity of PCNA and RPA1 at replication foci during HU-induced replication fork stalling and restart, with or without ATR inhibition. The maximum intensity of PCNA/RPA at replication foci is normalized to 1. (<b>D</b>) Fraction of PCNA and RPA1 bound at replication foci during HU-induced replication fork stalling and restart, with or without ATR inhibition, relative to the total nuclear intensity of PCNA/RPA1, which is normalized to 1. (<b>E</b>) Estimated number of PCNA homotrimer and RPA heterotrimer complexes engaged at replication foci with or without ATR inhibition. (<b>F</b>) Estimated number of nucleotides covered by RPA heterotrimers with or without ATR inhibition. For HU only: n = 17 cells; for HU + AZD: n = 10 cells. Abbreviations: HU: hydroxyurea; AZD: AZD6738.</p>
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<p>Detailed overview for the measurement and quantification of PCNA and RPA1 engaged at replication foci during fork stalling and restart. (<b>A</b>) Regions of interest applied for analysis. ‘A’ represents the cell nucleus (white lining), ‘B’ represents a region within the nucleus without replication foci (blue ellipse), and ‘C’ represents noise outside of cells (orange square). (<b>B</b>) Constants and formulas for the calculation of variables used for quantifying RPA1 and PCNA kinetics. (<b>C</b>) Mean intensity of diffusing RPA1-EGFP/mPCNA-mCherry within region ‘B’, calculated as shown in the formula for D<sub>t</sub>. (<b>D</b>) Mean intensity of RPA1-EGFP/mPCNA-mCherry bound at replication foci, calculated as per the formula for E<sub>t</sub> (2). (<b>E</b>) Same as (<b>D</b>), but with the maximum intensity normalized to 1, calculated as per the formula for nE<sub>t</sub> (3). (<b>F</b>) Fraction of the RPA1-EGFP/mPCNA-mCherry bound at replication foci when the total cellular pool of RPA1/PCNA is normalized to 1, as per formula (4). (<b>G</b>) Estimated number of RPA and PCNA complexes engaged at a single replication fork, calculated as per the equation for G<sub>t</sub> (5). (<b>H</b>) Average length of ssDNA (nt) covered by RPA at a replication fork, calculated as per the formula for H<sub>t</sub> (6). (<b>I</b>) Representative timelapse images of single RPA1/PCNA foci tracking. After a focus is tracked, a square region (orange square, K) surrounding is cropped, and a kymogram is created (below). The background noise is measured in a region indicated by the blue circle, L. (<b>J</b>) Formula (7) for calculating the mean intensity of the RPA1-EGFP/mPCNA-mCherry signal in a single focus (Q<sub>t</sub>) normalized to 1. (<b>K</b>) Normalized intensity of the single tracked focus (nM<sub>t</sub>) from (<b>I</b>).</p>
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<p>Exchange of PCNA and RPA1 at replication foci during unperturbed and stalled replication. (<b>A</b>) Representative timelapse images depicting simultaneous FRAP of RPA1 and residual PCNA co-localized at stalled replication forks under nucleotide depletion. (<b>B</b>) Same as (<b>A</b>), but under conditions of ATR inhibition. (<b>C</b>) Replication timelapse images of PCNA FRAP at replication foci during unperturbed replication (upper panel) or in the presence of ATR inhibitor AZD6738. (<b>D</b>) FRAP curves of PCNA under the following conditions: untreated, HU alone, AZD alone, HU + AZD. The mean intensity is normalized as described in <a href="#app1-ijms-26-00667" class="html-app">Figure S5</a>. (<b>E</b>) Contribution of distinct PCNA fractions (freely diffusing [F1] and replisome-bound [F2]) to the FRAP curve under nucleotide depletion, as determined via fitting of two single exponential curves. (<b>F</b>) Same as (<b>E</b>), but in the presence of both AZD6738 and HU. (<b>G</b>) Recovery of the replisome-bound fraction of PCNA under HU treatment, as derived based on (<b>E</b>). (<b>H</b>) Recovery of the replisome-bound fraction of PCNA under HU treatment, as derived based on (<b>F</b>). (<b>I</b>) Comparison of PCNA recovery under the following conditions: untreated, AZD alone, HU alone, HU + AZD. The contribution of freely diffusing PCNA has been subtracted from the HU and HU + AZD curves, as per (<b>G</b>,<b>H</b>). (<b>J</b>) Number of PCNA complexes at a single replication fork, recovered after photobleaching. (<b>K</b>) Enlarged view of HU and HU + AZD curves from (<b>J</b>). (<b>L</b>) FRAP curves of RPA1 at replication foci under HU alone and HU + AZD. (<b>M</b>) Number of RPA complexes at a single replication fork recovered after photobleaching under HU alone and HU + AZD. For HU: n = 11 cells; for HU + AZD: n = 16 cells; for AZD (PCNA only): n = 13 cells; untreated (PCNA only): n = 15 cells. Abbreviations: HU: hydroxyurea; AZD: AZD6738.</p>
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<p>Influence of ATM activity on RPA1 and PCNA dynamics during HU-induced replication fork stalling and restart under conditions of ATR inhibition. (<b>A</b>) Representative time-lapse images of RPA1 and PCNA before, during, and after 10 mM HU treatment under combined ATM (10 µM Ku55933) and ATR (3 µM AZD6738) inhibition. Arrows indicate timepoints of HU addition and washout. Scale bar = 5 µm. (<b>B</b>) Normalized intensity of PCNA and RPA1 at replication foci during HU-induced replication fork stalling and restart under ATM inhibition with or without ATR co-inhibition. The maximum intensity of PCNA/RPA1 engaged at replication foci is normalized to 1. (<b>C</b>) Fraction of PCNA and RPA1 bound at replication foci during HU-induced replication fork stalling and restart under ATM inhibition with or without ATR inhibition, relative to the total nuclear intensity of PCNA/RPA1, which is normalized to 1. (<b>D</b>) Normalized intensity of PCNA and RPA1 at replication foci during HU-induced replication fork stalling and restart under ATR inhibition with or without ATM co-inhibition. The maximum intensity of PCNA/RPA1 engaged at replication foci is normalized to 1. (<b>E</b>) Fraction of PCNA and RPA1 bound at replication factories during HU-induced replication fork stalling and restart under ATR inhibition with or without ATM inhibition, relative to the total nuclear intensity of PCNA/RPA1, which is normalized to 1. (<b>F</b>) Same as (<b>B</b>,<b>D</b>), but with or without combined ATR + ATM inhibition. (<b>G</b>) Same as (<b>C</b>,<b>E</b>), but with or without combined ATR + ATM inhibition. (<b>H</b>) Estimated number of PCNA homotrimer and RPA heterotrimer complexes engaged at replication foci during HU-induced fork stalling and subsequent restart. (<b>I</b>) Estimated number of nucleotides covered by RPA heterotrimers under combined ATM and ATR inhibition. Dashed orange lines indicate the timepoints of HU addition and wash-out. For HU + AZD + KU, n = 10 cells; for HU + KU: n = 19 cells. Abbreviations: HU: hydroxyurea; AZD: AZD6738; KU: Ku55933.</p>
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<p>Dynamics of PCNA and RPA1 during hydroxyurea-induced replication stress in HeLa, DU145, and PC3 cell lines. (<b>A</b>) Normalized intensity of PCNA and RPA1 during, before, and after HU treatment. (<b>B</b>) Same as (<b>A</b>), but under conditions of ATM inhibition (10 µM Ku55933). (<b>C</b>) Same as (<b>A</b>), but under conditions of ATR inhibition (3 µM AZD6738). (<b>D</b>) Same as (<b>A</b>), but under combined ATR and ATM inhibition. Dashed green lines indicate the timepoints of HU addition and washout. Data are presented as the mean ± SD. For HeLa: n = 11 cells (HU), n = 16 cells (HU + AZD), n = 19 cells (HU + KU), n = 10 cells (HU + AZD + KU); for DU145: n = 11 cells (HU), n = 10 cells (HU + AZD), n = 10 cells (HU + KU), n = 18 cells (HU + AZD + KU); for PC3: n = 18 cells (HU), n = 10 cells (HU + AZD), n = 13 cells (HU + KU), n = 15 cells (HU + AZD + KU). Abbreviations: HU: hydroxyurea; AZD: AZD6738; KU: Ku55933.</p>
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<p>Dynamics of RAD18 during hydroxyurea-induced replication fork stalling and restart. (<b>A</b>) Representative time-lapse images of RAD18 and PCNA before, during, and after HU treatment. Arrows indicate timepoints of HU addition and washout. Scale bar = 5 µm. (<b>B</b>) Normalized intensity of RAD18 and PCNA during HU-induced replication fork stalling and restart, with or without ATR inhibition (3 µM AZD6738). The maximum intensity of PCNA/RAD18 foci is normalized to 1. For HU: n = 17 cells; for HU + AZD: n = 12 cells. (<b>C</b>) Normalized intensity of single RAD18 and PCNA foci before and after HU addition (max intensity = 1). Single foci were tracked using SPARTACUSS, and a representative kymogram is shown. This panel presents a case where RAD18 accumulates at a replication focus, while PCNA dissociates after HU treatment. (<b>D</b>) Same as (<b>C</b>), but under conditions of ATR inhibition. (<b>E</b>) Same as (<b>C</b>), but this panel presents a case where RAD18 is already present at the replication focus and dissociates from the replication focus in parallel to PCNA upon HU addition. (<b>F</b>) Same scenario as shown in (<b>E</b>), but under conditions of ATR inhibition. Dashed green lines indicate timepoints of HU addition and removal. Abbreviations: HU: hydroxyurea; AZD: AZD6738.</p>
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<p>Visual summary of PCNA and RPA dynamics during replication fork stalling and restart.</p>
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26 pages, 1837 KiB  
Article
A Proposal for a Zero-Trust-Based Multi-Level Security Model and Its Security Controls
by Jun-Hyung Park, Sung-Chae Park and Heung-Youl Youm
Appl. Sci. 2025, 15(2), 785; https://doi.org/10.3390/app15020785 - 14 Jan 2025
Abstract
The rapid advancement of technology and increasing data utilisation have underscored the need for new models to manage and secure big data effectively. However, the constraints of isolated network environments and the limitations of existing security frameworks hinder the adoption of cutting-edge technologies [...] Read more.
The rapid advancement of technology and increasing data utilisation have underscored the need for new models to manage and secure big data effectively. However, the constraints of isolated network environments and the limitations of existing security frameworks hinder the adoption of cutting-edge technologies such as AI and cloud computing, as well as the safe utilisation of data. To address these challenges, this study proposes an enhanced security model that integrates the concepts of Multi-Level Security (MLS) and Zero Trust (ZT). The proposed model classifies data into the following three sensitivity levels: “Classified,” “Sensitive,” and “Open.” It applies tailored security requirements and dynamic controls to each level, enhancing both data security and usability. Furthermore, the model overcomes the static access control limitations of MLS by incorporating ZT’s automated dynamic access capabilities, significantly improving responsiveness to anomalous behaviours. This study contributes to the design and evaluation of a new security model that ensures secure data protection and utilisation, even in isolated network environments such as those of military and governmental organisations. It also provides a foundation for the future development of advanced security frameworks. Full article
21 pages, 978 KiB  
Article
Enhanced Polar Lights Optimization with Cryptobiosis and Differential Evolution for Global Optimization and Feature Selection
by Yang Gao and Liang Cheng
Biomimetics 2025, 10(1), 53; https://doi.org/10.3390/biomimetics10010053 - 14 Jan 2025
Abstract
Optimization algorithms play a crucial role in solving complex problems across various fields, including global optimization and feature selection (FS). This paper presents the enhanced polar lights optimization with cryptobiosis and differential evolution (CPLODE), a novel improvement upon the original polar lights optimization [...] Read more.
Optimization algorithms play a crucial role in solving complex problems across various fields, including global optimization and feature selection (FS). This paper presents the enhanced polar lights optimization with cryptobiosis and differential evolution (CPLODE), a novel improvement upon the original polar lights optimization (PLO) algorithm. CPLODE integrates a cryptobiosis mechanism and differential evolution (DE) operators to enhance PLO’s search capabilities. The original PLO’s particle collision strategy is replaced with DE’s mutation and crossover operators, enabling a more effective global exploration and using a dynamic crossover rate to improve convergence. Furthermore, a cryptobiosis mechanism records and reuses historically successful solutions, thereby improving the greedy selection process. The experimental results on 29 CEC 2017 benchmark functions demonstrate CPLODE’s superior performance compared to eight classical optimization algorithms, with higher average ranks and faster convergence. Moreover, CPLODE achieved competitive results in feature selection on ten real-world datasets, outperforming several well-known binary metaheuristic algorithms in classification accuracy and feature reduction. These results highlight CPLODE’s effectiveness for both global optimization and feature selection. Full article
14 pages, 4480 KiB  
Article
Calcium Phosphate (CaP) Composite Nanostructures on Polycaprolactone (PCL): Synergistic Effects on Antibacterial Activity and Osteoblast Behavior
by Suvd Erdene Ganbaatar, Hee-Kyeong Kim, Nae-Un Kang, Eun Chae Kim, Hye Jin U, Young-Sam Cho and Hyun-Ha Park
Polymers 2025, 17(2), 200; https://doi.org/10.3390/polym17020200 - 14 Jan 2025
Abstract
Bone tissue engineering aims to develop biomaterials that are capable of effectively repairing and regenerating damaged bone tissue. Among the various polymers used in this field, polycaprolactone (PCL) is one of the most widely utilized. As a biocompatible polymer, PCL is easy to [...] Read more.
Bone tissue engineering aims to develop biomaterials that are capable of effectively repairing and regenerating damaged bone tissue. Among the various polymers used in this field, polycaprolactone (PCL) is one of the most widely utilized. As a biocompatible polymer, PCL is easy to fabricate, cost-effective, and offers consistent quality control, making it a popular choice for biomedical applications. However, PCL lacks inherent antibacterial properties, making it susceptible to bacterial adhesion and biofilm formation, which can lead to implant failure. To address this issue, this study aims to enhance the antibacterial properties of PCL by incorporating calcium phosphate composite (PCL_CaP) nanostructures onto its surface via hydrothermal synthesis. The resulting “PCL_CaP” nanostructured surfaces exhibited improved wettability and demonstrated mechano-bactericidal potential against Escherichia coli and Bacillus subtilis. The flake-like morphology of the fabricated CaP nanostructures effectively disrupted bacteria membranes, inhibiting bacterial growth. Furthermore, the “PCL_CaP” surfaces supported the adhesion, proliferation, and differentiation of pre-osteoblasts, indicating their potential for bone tissue engineering applications. This study demonstrates the promise of calcium phosphate composite nanostructures as an effective antibacterial coating for implants and medical devices, with further research required to evaluate their long-term stability and in vivo performance. Full article
(This article belongs to the Section Polymer Applications)
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<p>(<b>a</b>) Schematic diagram of the preparation of “PCL_CaP” nanostructured surfaces. (<b>b</b>) Representative SEM images showing the (<b>i</b>) surface of “PCL bare”, (<b>ii</b>) surface of “PCL_CaP”, and (<b>iii</b>) cross section of “PCL_CaP.” (<b>c</b>) Surface roughness for the “PCL_CaP” nanostructured surface.</p>
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<p>(<b>a</b>) EDS images; (<b>b</b>) WCA of the “PCL_CaP” nanostructured surface; (<b>c</b>) FT-IR spectra (including PCL, β-Tri-Calcium Phosphate, hydroxyapatite, and “PCL_CaP”).</p>
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<p>Confocal microscopy images of (<b>a</b>) <span class="html-italic">E. coli</span> and (<b>b</b>) <span class="html-italic">B. subtilis</span> cultured on the “PCL bare” surface and the “PCL_CaP” nanostructured surface (green: live cells; red: dead cells). CFU of (<b>c</b>) <span class="html-italic">E. coli</span> and (<b>d</b>) <span class="html-italic">B. subtilis</span> cultured on the “PCL bare” surface and the “PCL_CaP” nanostructured surface.</p>
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<p>SEM images of (<b>a</b>) <span class="html-italic">E. coli</span> and (<b>b</b>) <span class="html-italic">B. subtilis</span> cultured on the “PCL bare” surface and “PCL_CaP” nanostructured surface.</p>
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<p>Assessment of pre-osteoblast proliferation and differentiation. (<b>a</b>) CCK-8 assay (proliferation); (<b>b</b>) ALP activity (differentiation). (ns; not significant, *; <span class="html-italic">p</span> &lt; 0.05, ***; <span class="html-italic">p</span> &lt; 0.001).</p>
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17 pages, 6455 KiB  
Article
A Novel Mesoscale Eddy Identification Method Using Enhanced Interpolation and A Posteriori Guidance
by Lei Zhang, Xiaodong Ma, Weishuai Xu, Xiang Wan and Qiyun Chen
Sensors 2025, 25(2), 457; https://doi.org/10.3390/s25020457 - 14 Jan 2025
Abstract
Mesoscale eddies are pivotal oceanographic phenomena affecting marine environments. Accurate and stable identification of these eddies is essential for advancing research on their dynamics and effects. Current methods primarily focus on identifying Cyclonic and Anticyclonic eddies (CE, AE), with anomalous eddy identification often [...] Read more.
Mesoscale eddies are pivotal oceanographic phenomena affecting marine environments. Accurate and stable identification of these eddies is essential for advancing research on their dynamics and effects. Current methods primarily focus on identifying Cyclonic and Anticyclonic eddies (CE, AE), with anomalous eddy identification often requiring secondary analyses of sea surface height anomalies and eddy center properties, leading to segmented data interpretations. This study introduces a deep learning model integrating multi-source fusion data with a Squeeze-and-Excitation (SE) attention mechanism to enhance the identification accuracy for both normal and anomalous eddies. Comparative ablation experiments validate the model’s effectiveness, demonstrating its potential for more nuanced, multi-source, and multi-class mesoscale eddy identification. This approach offers a promising framework for advancing mesoscale eddy identification through deep learning. Full article
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<p>Schematic of the methodological framework.</p>
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<p>Schematic of the study area.</p>
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<p>Probability distribution of extreme thermohaline anomaly (<b>left</b>) and corresponding depth (<b>right</b>) in the KE region.</p>
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<p>Schematic of the sea surface multi-channel fusion model for mesoscale eddy identification with integrated SE attention mechanism.</p>
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<p>Trends in evaluation metrics during model training and verification.</p>
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<p>Confusion matrix for model predictions of normal and abnormal eddies against background field.</p>
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<p>(<b>a</b>) Visualization of identification results using 5113 days of daily multi-source remote-sensing superimposed data (2007–2020) based on a sample of 8 consecutive days. (Note: Normal and abnormal eddies are marked without consideration of eddy polarity). (<b>b</b>) Visualization of identification results using single sea surface height data.</p>
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18 pages, 1136 KiB  
Article
Carbon Dioxide Micro-Nano Bubbles Aeration Improves Carbon Fixation Efficiency for Succinic Acid Synthesis by Escherichia coli
by Ying Chen, Hao Wu, Qianqian Huang, Jingwen Liao, Liuqing Wang, Yue Pan, Anming Xu, Wenming Zhang and Min Jiang
Fermentation 2025, 11(1), 31; https://doi.org/10.3390/fermentation11010031 - 14 Jan 2025
Abstract
The low solubility of CO2 in water leads to massive CO2 emission and extremely low CO2 utilization in succinic acid (SA) biosynthesis. To enhance microbial CO2 utilization, micro-nano bubbles (MNBs) were induced in SA biosynthesis by E. coli Suc260 [...] Read more.
The low solubility of CO2 in water leads to massive CO2 emission and extremely low CO2 utilization in succinic acid (SA) biosynthesis. To enhance microbial CO2 utilization, micro-nano bubbles (MNBs) were induced in SA biosynthesis by E. coli Suc260 in this study. The results showed that MNB aeration decreased CO2 emissions and increased CO2 solubility in the medium significantly. The CO2 utilization of MNB aeration was 129.69% higher than that of bubble aeration in atmospheric fermentation. However, MNBs showed a significant inhibitory effect on bacterial growth in the pressurized environment, although a two-stage aerobic–anaerobic fermentation strategy weakened the inhibition. The biofilm-enhanced strain E. coli Suc260-CsgA showed a strong tolerance to MNBs. In pressurized fermentation with MNB aeration, the actual CO2 utilization of E. coli Suc260-CsgA was 30.63% at 0.18 MPa, which was a 6.49-times improvement. The CO2 requirement for SA synthesis decreased by 83.4%, and the fugitive emission of CO2 was successfully controlled. The activities of key enzymes within the SA synthesis pathway were also maintained or enhanced in the fermentation process with MNB aeration. These results indicated that the biofilm-enhanced strain and CO2-MNBs could improve carbon fixation efficiency in microbial carbon sequestration. Full article
(This article belongs to the Section Fermentation Process Design)
13 pages, 1991 KiB  
Article
Outcomes of Broader Genomic Profiling in Metastatic Colorectal Cancer: A Portuguese Cohort Study
by Ricardo Roque, Rita Santos, Luís Guilherme Santos, Rita Coelho, Isabel Fernandes, Gonçalo Cunha, Marta Gonçalves, Teresa Fraga, Judy Paulo and Nuno Bonito
DNA 2025, 5(1), 4; https://doi.org/10.3390/dna5010004 (registering DOI) - 14 Jan 2025
Abstract
Background: Colorectal cancer (CRC) is the third most diagnosed cancer globally and the second leading cause of cancer-related deaths. Despite advancements, metastatic CRC (mCRC) has a five-year survival rate below 20%. Next-generation sequencing (NGS) is recommended nowadays to guide mCRC treatment; however, its [...] Read more.
Background: Colorectal cancer (CRC) is the third most diagnosed cancer globally and the second leading cause of cancer-related deaths. Despite advancements, metastatic CRC (mCRC) has a five-year survival rate below 20%. Next-generation sequencing (NGS) is recommended nowadays to guide mCRC treatment; however, its clinical utility when compared with traditional molecular testing in mCRC is debated due to limited survival improvement and cost-effectiveness concerns. Methods: This retrospective study included mCRC patients (≥18 years) treated at a single oncology centre who underwent NGS during treatment planning. Tumour samples were analysed using either a 52-gene Oncomine™ Focus Assay or a 500+-gene Oncomine™ Comprehensive Assay Plus. Variants were classified by clinical significance (ESMO ESCAT) and potential benefit (ESMO-MCBS and OncoKBTM). The Mann–Whitney and Chi square tests were used to compare characteristics of different groups, with significance at p < 0.05. Results: Eighty-six metastatic colorectal cancer (mCRC) patients were analysed, all being MMR proficient. Most cases (73.3%) underwent sequencing at diagnosis of metastatic disease, using primary tumour samples (74.4%) and a focused NGS assay (75.6%). A total of 206 somatic variants were detected in 86.0% of patients, 31.1% of which were classified as clinically significant, predominantly KRAS mutations (76.6%), with G12D and G12V variants as the most frequent. Among 33.7% RAS/BRAF wild-type patients, 65.5% received anti-EGFR therapies. Eleven patients (12.8%) had other actionable variants which were ESCAT level I-II, including four identified as TMB-high, four KRAS G12C, two BRAF V600E, and one HER2 amplification. Four received therapies classified as OncoKbTM level 1–2 and ESMO-MCBS score 4, leading to disease control in three cases. Conclusions: NGS enables the detection of rare variants, supports personalised treatments, and expands therapeutic options. As new drugs emerge and genomic data integration improves, NGS is poised to enhance real-world mCRC management. Full article
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<p>Diagram illustrating the patient selection process and the main results influencing treatment strategies.</p>
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<p>(<b>a</b>) Relative frequency of all detected variants (<span class="html-italic">n</span> = 206). Forty-nine variants of uncertain significance (VUSs), which occurred only once in the sample and in different genes, are excluded from this graph. (<b>b</b>) Prevalence of variants in the 86 included patients. (<b>c</b>) Heatmap showing the distribution of variants based on their clinical significance for each of the 74 patients with detectable variants. Graphs (<b>b</b>,<b>c</b>) include only genes that overlap between the two NGS assays.</p>
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<p>Relative frequencies of each KRAS variant according to stage at diagnosis (<b>a</b>) or location of the primary tumour (<b>b</b>). Graphic (<b>c</b>) displays a box plot showing the distribution of the median allele frequency for each KRAS variant.</p>
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<p>Absolute frequency of PIK3CA (<b>a</b>) and APC (<b>b</b>) variants distributed by affected exon. Heatmap (<b>c</b>) showing relative frequency of variants, classified according to amino acid change, for each of the most commonly altered genes overlapping between the two panels.</p>
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<p>The table (left) presents four patients treated with targeted therapies in subsequent lines of systemic treatment for mCRC. The variant-matched treatment is scored according to its potential clinical benefit using the ESMO Magnitude of Clinical Benefit Scale (ESMO-MCBS) in the non-curative setting and OncoKBTM therapeutic level. The bars (right) display the median progression-free survival (in months) and the best response to treatment: progression (red) or partial response/disease stability (blue). One patient died (†) and two are still on treatment (◊). ND—not defined.</p>
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22 pages, 10534 KiB  
Article
Integrated Metabolome, Transcriptome, and Physiological Analysis of the Flavonoid and Phenylethanol Glycosides Accumulation in Wild Phlomoides rotata Roots from Different Habitats
by Zuxia Li, Guigong Geng, Chongxin Yin, Lianyu Zhou, Xiaozhuo Wu, Jianxia Ma, Rui Su, Zirui Wang, Feng Qiao and Huichun Xie
Int. J. Mol. Sci. 2025, 26(2), 668; https://doi.org/10.3390/ijms26020668 - 14 Jan 2025
Abstract
Phlomoides rotata, a traditional medicinal plant, is commonly found on the Tibetan Plateau at altitudes of 3100–5200 m. Its primary active medicinal compounds, flavonoids and phenylethanol glycosides (PhGs), exhibit various pharmacological effects, including hemostatic, anti-inflammatory, antitumor, immunomodulatory, and antioxidant activities. This study [...] Read more.
Phlomoides rotata, a traditional medicinal plant, is commonly found on the Tibetan Plateau at altitudes of 3100–5200 m. Its primary active medicinal compounds, flavonoids and phenylethanol glycosides (PhGs), exhibit various pharmacological effects, including hemostatic, anti-inflammatory, antitumor, immunomodulatory, and antioxidant activities. This study analyzed flavonoid and PhG metabolites in the roots of P. rotata collected from Henan County (HN), Guoluo County (GL), Yushu County (YS), and Chengduo County (CD) in Qinghai Province. A total of differentially abundant metabolites (DAMs) including 38 flavonoids and 21 PhGs were identified. Six genes (UFGT1, CHS1, COMT2, C4H3, C4H8, and C4H5) and four enzymes (4CL, C4H, PPO, and ALDH) were found to play key roles in regulating flavonoid and PhG biosynthesis in P. rotata roots. With increasing altitude, the relative content of 15 metabolites, the expression of seven genes, and the activity of four enzymes associated with flavonoid and PhG metabolism increased. These findings enhance our understanding of the regulatory mechanisms of flavonoid and PhG metabolism in P. rotata and provide insights into the potential pharmaceutical applications of its bioactive compounds. Full article
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<p>PCA, PLSD-DA, and SCA analysis of metabolites in <span class="html-italic">P. rotata</span> roots from four habitats. (<b>A</b>) The PCA analysis of <span class="html-italic">P. rotata roots</span> from four different habitats. (<b>B</b>) PLS-DA analysis of <span class="html-italic">P. rotata roots</span> from four different habitats. (<b>C</b>) SCA analysis of <span class="html-italic">P. rotata roots</span> from four different habitats.</p>
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<p>Metabolites profiling of <span class="html-italic">P. rotata</span> roots from four habitats. (<b>A</b>) Classification and proportion of all metabolites. (<b>B</b>) Volcano map of the distribution of metabolites among four habitats. The horizontal dash line means the boundary between significant and insignificant metabolites. (<b>C</b>) Heatmap of 38 flavonoid. (<b>D</b>) Heatmap of 21 PhGs. Light blue represents the low content, deep blue represents high content. Gray arrow represents a clustering branch in row and column. The five-pointed star represents the relationship between the content of metabolites and altitude. Green five-pointed star: negative relationship, red five-pointed star: positive relationship. One five-pointed star at <span class="html-italic">p</span> &lt; 0.05, two five-pointed stars at <span class="html-italic">p</span> &lt; 0.01, three five-pointed stars at <span class="html-italic">p</span> &lt; 0.001.</p>
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<p>Transcriptomic analysis in <span class="html-italic">P. rotata</span> roots from four habitats. (<b>A</b>) Transcriptomic PCA of <span class="html-italic">P. rotata</span> roots from four different habitats. (<b>B</b>) Annotation of eight major databases. (<b>C</b>) Distribution of upregulation and downregulation of differentially expressed genes among four habitats. Upmodulated transcripts in red, downmodulated transcripts in yellow, nondifferent transcripts in blue. The horizontal dash line means the boundary between significant and insignificant of transcripts.</p>
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<p>Heatmap of DEGs related flavonoid and phenylethanol glycoside pathways in <span class="html-italic">P. rotata</span> roots from four habitats. (<b>A</b>) Heatmap of DEGs related flavonoid pathway. (<b>B</b>) Heatmap of DEGs related phenylethanol glycoside pathway. Heatmap of all genes’ relative expression with Log10 FPKM. Red boxes indicate high expression levels, and blue boxes indicate low expression levels. The five-pointed star represents the relationship between gene expression and altitude. Green five-pointed star: negative relationship, red five-pointed star: positive relationship. One five-pointed star at <span class="html-italic">p</span> &lt; 0.05, two five-pointed stars at <span class="html-italic">p</span> &lt; 0.01, three five-pointed stars at <span class="html-italic">p</span> &lt; 0.001. Gray arrow represents a clustering branch in row and column.</p>
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<p>Validation of transcriptomic data by qRT-PCR analysis. The relative gene expression was calculated using the 2<sup>−ΔΔct</sup> method. Vertical bars indicate means ± SD (3 replicates).</p>
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<p>Enzyme activities related to flavonoid and PhG metabolism. (<b>A</b>) Seven enzymes activities. The five-pointed star represents the relationship between the enzyme activity and altitude. Green five-pointed star: negative relationship, red five-pointed star: positive relationship. Two five-pointed stars at <span class="html-italic">p</span> &lt; 0.01, three five-pointed stars at <span class="html-italic">p</span> &lt; 0.001. (<b>B</b>) Correlation analysis between gene expression and enzyme activity. Gray arrow represents a clustering branch in row and column. One star at <span class="html-italic">p</span> &lt; 0.05, two stars at <span class="html-italic">p</span> &lt; 0.01, three stars at <span class="html-italic">p</span> &lt; 0.001.</p>
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<p>Correlation between genes expression and the content of the major metabolites in <span class="html-italic">P. rotata</span> roots from four habitats. (<b>A</b>) Correlation between genes expression and the content of the flavonoid compounds. (<b>B</b>) Correlation between genes expression and the content of the phenylethanoid glycoside compounds. Gray arrow represents a clustering branch in row and column. One star at <span class="html-italic">p</span> &lt; 0.05, two stars at <span class="html-italic">p</span> &lt; 0.01, three stars at <span class="html-italic">p</span> &lt; 0.001.</p>
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<p>Correlation between key enzyme activity and major metabolite in <span class="html-italic">P. rotata</span> roots from four habitats. (<b>A</b>) Correlation between key enzyme activity and the content of the flavonoid compound. (<b>B</b>) Correlation between key enzyme activity and the content of the phenylethanoid glycoside compound. Gray arrow represents a clustering branch in row and column. One star at <span class="html-italic">p</span> &lt; 0.05, two stars at <span class="html-italic">p</span> &lt; 0.01, three stars at <span class="html-italic">p</span> &lt; 0.001. Gray arrow represents a clustering tree, clustering by rows and columns.</p>
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<p>Metabolic pathways of flavonoids and phenylethanoid glycosides in plants. The box diagram in green represents the flavonoid pathway. The box diagram in red represents the phenylethanoid glycoside pathway. In the heatmap, the transcript expressions of 28 genes are in green font, activities of seven enzymes are in light blue, and the contents of five metabolites are in dark purple.</p>
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<p>The roots of <span class="html-italic">P. rotata</span> from HN, GL, YS, and CD habitats.</p>
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