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
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
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
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
remove_circle_outline
remove_circle_outline
remove_circle_outline

Search Results (7,919)

Search Parameters:
Keywords = factor screening

Order results
Result details
Results per page
Select all
Export citation of selected articles as:
11 pages, 826 KiB  
Article
Incidence of Diabetic Retinopathy in Individuals with Type 2 Diabetes: A Study Using Real-World Data
by Carlos Hernández-Teixidó, Joan Barrot de la Puente, Sònia Miravet Jiménez, Berta Fernández-Camins, Didac Mauricio, Pedro Romero Aroca, Bogdan Vlacho and Josep Franch-Nadal
J. Clin. Med. 2024, 13(23), 7083; https://doi.org/10.3390/jcm13237083 (registering DOI) - 23 Nov 2024
Viewed by 37
Abstract
Background/Objectives: This study aimed to assess the incidence of diabetic retinopathy (DR) in patients with type 2 diabetes (T2DM) treated in primary-care settings in Catalonia, Spain, and identify key risk factors associated with DR development. Methods: A retrospective cohort study was [...] Read more.
Background/Objectives: This study aimed to assess the incidence of diabetic retinopathy (DR) in patients with type 2 diabetes (T2DM) treated in primary-care settings in Catalonia, Spain, and identify key risk factors associated with DR development. Methods: A retrospective cohort study was conducted using the SIDIAP (System for Research and Development in Primary Care) database. Patients aged 30–90 with T2DM who underwent retinal screening between 2010 and 2015 were included. Multivariable Cox regression analysis was used to assess the impact of clinical variables, including HbA1c levels, diabetes duration, and comorbidities, on DR incidence. Results: This study included 146,506 patients, with a mean follow-up time of 6.96 years. During this period, 4.7% of the patients developed DR, resulting in an incidence rate of 6.99 per 1000 person-years. Higher HbA1c levels were strongly associated with an increased DR risk, with patients with HbA1c > 10% having more than four times the risk compared to those with HbA1c levels < 7% (hazard ratio: 4.23; 95% CI: 3.90–4.58). Other significant risk factors for DR included greater diabetes duration, male sex, ex-smoker status, macrovascular disease, and chronic kidney disease. In contrast, obesity appeared to be a protective factor against DR, with an HR of 0.93 (95% CI: 0.89–0.98). Conclusions: In our real-world setting, the incidence rate of DR was 6.99 per 1000 person-years. Poor glycemic control, especially HbA1c < 10%, and prolonged diabetes duration were key risk factors. Effective management of these factors is crucial in preventing DR progression. Regular retinal screenings in primary care play a vital role in early detection and reducing the DR burden for T2DM patients. Full article
(This article belongs to the Special Issue Diabetic Retinopathy: Current Concepts and Future Directions)
Show Figures

Figure 1

Figure 1
<p>Cumulative incidence for DR during the follow-up period.</p>
Full article ">Figure 2
<p>The fully adjusted multivariate model of the risk factors for diabetic retinopathy.</p>
Full article ">
11 pages, 289 KiB  
Article
Urinary Incontinence (UI) in Saudi Female Population: Prevalence, Risk Factors, and Impact on Quality of Life
by Abrar H. Alharbri, Ruba H. Almasry, Basim Alsaywid, Ahlam Kaleemullah, Ahmed T. Khodri, Farss S. Hariri, Salahadin H. Lamy, Talah O. Almaddah and Miltiadis D. Lytras
Healthcare 2024, 12(23), 2340; https://doi.org/10.3390/healthcare12232340 (registering DOI) - 23 Nov 2024
Viewed by 66
Abstract
Background: Urinary incontinence (UI) is a prevalent health concern among women globally. However, its prevalence, associated risk factors, and impact on quality of life among Saudi women remain underexplored. Objective: This study aimed to assess the prevalence of UI, identify its risk factors, [...] Read more.
Background: Urinary incontinence (UI) is a prevalent health concern among women globally. However, its prevalence, associated risk factors, and impact on quality of life among Saudi women remain underexplored. Objective: This study aimed to assess the prevalence of UI, identify its risk factors, and understand its impact on the quality of life among Saudi women. Methods: In this cross-sectional study, we surveyed Saudi women aged between 18 and 50 years. Participants were recruited from shopping malls to reflect a diverse demographic. The questionnaire included detailed questions about the participants’ experiences with urinary incontinence, their lifestyle and health-related risk factors, and the impact of the condition on various aspects of their daily lives. Results: The study found a 32.4% prevalence of urinary incontinence (UI) among 516 women. Risk factors included age, marital status, BMI, childbirth, and vaginal surgery. UI prevalence increased with age and was more common in married women, women who had children, and those with vaginal surgery history. However, only 29.3% sought medical advice, and 55.2% reported no improvement after consultation. Urinary incontinence impacted respondents’ lives in several ways with 38.9% reporting limitations in social activities, approximately 50% experiencing some degree of impact on household tasks, and about 19.4% facing significant or extreme impact on job or daily activities. Conclusions: UI has a substantial prevalence among Saudi women and significantly affects their quality of life. The study underscores the need for increased awareness, routine screening, and timely medical consultation for the effective management of UI. Full article
(This article belongs to the Section Women's Health Care)
12 pages, 519 KiB  
Article
Social Determinants of Health in Cerebral Palsy
by Salathiel R. Kendrick-Allwood, Melissa M. Murphy, Katie S. Shin, Anmol Minaz, Laverne Keecia Walker and Nathalie L. Maitre
J. Clin. Med. 2024, 13(23), 7081; https://doi.org/10.3390/jcm13237081 (registering DOI) - 23 Nov 2024
Viewed by 98
Abstract
Background/Objectives: To describe social and psychological needs, such as poverty, early trauma, or adverse childhood events, of caregivers with a child newly diagnosed with cerebral palsy (CP) or receiving a designation of high-risk for cerebral palsy (HRCP). Methods: Caregiver self-report questionnaires [...] Read more.
Background/Objectives: To describe social and psychological needs, such as poverty, early trauma, or adverse childhood events, of caregivers with a child newly diagnosed with cerebral palsy (CP) or receiving a designation of high-risk for cerebral palsy (HRCP). Methods: Caregiver self-report questionnaires screening for unmet social needs, adverse childhood experiences (ACEs), depression symptoms, and trauma were collected from 97 caregivers of children with CP/HRCP seen in a high-risk infant follow-up clinic (adjusted age range 1–24 months). We compared their responses to those of 97 caregivers of age-matched controls seen in the same clinic with similar risk factors over the equivalent time period. Results: Income insecurity and positive screening rate for depressive and trauma symptoms were high for both groups (CP/HRCP, matched control group); no differences were found between CP/HRCP and control groups. Rates of food and housing insecurity and caregiver ACEs were not different between groups. All families received referrals to appropriate community support at the visit. Conclusions: Caregivers of children with CP/HRCP in high-risk infant follow-up clinics may face difficult conversations and decision-making in the context of high psychological and social adversity. Comprehensive support should be considered as early as possible. Full article
Show Figures

Figure 1

Figure 1
<p>Frequency of co-occurring psychological factors with social needs by group.</p>
Full article ">
15 pages, 2200 KiB  
Article
Brain Amyloid-β Peptide Is Associated with Pain Intensity and Cognitive Dysfunction in Osteoarthritic Patients
by Chun-Hsien Wen, Hong-Yo Kang and Julie Y.H. Chan
Int. J. Mol. Sci. 2024, 25(23), 12575; https://doi.org/10.3390/ijms252312575 - 22 Nov 2024
Viewed by 265
Abstract
Considerable studies have demonstrated that osteoarthritis (OA) is a risk factor for dementia. The precise mechanisms underlying the association between OA and increased risk for cognitive dysfunction, however, remain unclear. This study aimed at exploring the associations between pro-inflammatory cytokines/chemokines, biomarkers of Alzheimer’s [...] Read more.
Considerable studies have demonstrated that osteoarthritis (OA) is a risk factor for dementia. The precise mechanisms underlying the association between OA and increased risk for cognitive dysfunction, however, remain unclear. This study aimed at exploring the associations between pro-inflammatory cytokines/chemokines, biomarkers of Alzheimer’s disease (AD), pain intensity, and cognitive decline in knee joint OA patients. A total of 50 patients (26 in OA group and 24 in non-OA control group) were enrolled in this prospective, observational study. The visual analogue scale (VAS) score for pain intensity and Cognitive Abilities Screening Instrument (CASI) score for cognitive functions were examined in both groups. The plasma and cerebrospinal fluid (CSF) levels of pro-inflammatory molecules (IL-1β, IL-6, TNF-α, fractalkine, BDNF, MCP-1, and TGF-β), as well as biomarkers of AD (Aβ40, Aβ42, total-tau, and phospho-tau), were measured by multiplex immunoassay. Correlations among plasma or CSF biomarkers and questionnaire scores were assessed using Pearson’s correlation coefficient and simple linear regressions. There were more patients in the OA group whose CASI cutoff percentiles were <P5 or at P5 than in the control group. VAS pain scores were negatively correlated with cognitive domains, including total score, short term memory, attention, mental manipulation, abstract thinking, and judgment, of the CASI score. VAS scores were positively correlated with fractalkine, Aβ40, and Aβ42 in CSF of OA patients. The CSF levels of Aβ40 and Aβ42 in OA patients were negatively correlated with attention and abstract scores in CASI. The findings of this study suggest that knee OA is associated with poor cognitive performance, and this association is particularly pronounced in OA patients with chronic pain. Higher levels of brain AD biomarkers, such as Aβ40 and Aβ42, may partially mediate this relationship. Full article
(This article belongs to the Section Molecular Neurobiology)
Show Figures

Figure 1

Figure 1
<p>The levels of TNF-α (<b>A</b>), BDNF (<b>B</b>), fractalkine (<b>C</b>), Aβ<sub>40</sub> (<b>D</b>), and Aβ<sub>42</sub> (<b>E</b>) in the cerebral fluid (CSF) of non-OA control patients (n = 24) and OA patients (n = 26). Aβ<sub>40</sub>, amyloid-β<sub>40</sub>; Aβ<sub>42</sub>, amyloid-β<sub>42</sub>; BDNF, brain-derived neurotrophic factor; TNF-α, tumor necrosis factor alpha. Data are means ± SD. * Statistically significant vs. non-OA control group in unpaired Student’s <span class="html-italic">t</span>-test after adjustment for covariates with a multivariate analysis of covariance.</p>
Full article ">Figure 2
<p>Scatter plot of the visual analogue scale (VAS) pain scores and total score (<b>A</b>), as well as short-term memory (STM) (<b>B</b>), attention (ATTEN) (<b>C</b>), mental manipulation (MENMA) (<b>D</b>), and abstract thinking and judgment (ABSTR) (<b>E</b>) domains of Cognitive Abilities Screening Instrument (CASI) scores in OA patients (n = 26). The solid lines represent the slope of Pearson correlation coefficient and the dashed lines and shaded region represent the 95% confidence interval. * Statistically significant by Pearson correlation coefficient and simple linear regression analysis.</p>
Full article ">Figure 3
<p>Scatter plot of the visual analogue scale (VAS) pain scores and the cerebral spinal fluid (CSF) concentration of IL-6 (<b>A</b>), fractalkine (<b>B</b>), Aβ<sub>40</sub> (<b>C</b>), and Aβ<sub>42</sub> (<b>D</b>) in OA patients (n = 26). The solid lines represent the slope of Pearson correlation coefficient and the dashed lines and shaded region represent the 95% confidence interval. * Statistically significant by Pearson correlation coefficient and simple linear regression analysis.</p>
Full article ">Figure 4
<p>Scatter plot of mental attention (ATTEN) (<b>A</b>,<b>B</b>) and abstract thinking and judgment (ABSTR) (<b>C</b>,<b>D</b>) domains of Cognitive Abilities Screening Instrument (CASI) scores and CSF concentration of Aβ<sub>40</sub> and Aβ<sub>42</sub> in OA patients (n = 26). The solid lines represent the slope of Pearson correlation coefficient and the dashed lines and shaded region represent the 95% confidence interval. * Statistically significant by Pearson correlation coefficient and simple linear regression analysis.</p>
Full article ">
22 pages, 5073 KiB  
Article
The Pattern of Cytokines, Chemokines, and Growth Factors of the Maxillary and Mandibular Periosteum After Exposure to Titanium Fixations—Ti6Al4V
by Bożena Antonowicz, Mateusz Maciejczyk, Jan Borys, Kamila Łukaszuk, Sara Zięba, Edyta Gołaś, Małgorzata Żendzian-Piotrowska and Anna Zalewska
J. Clin. Med. 2024, 13(23), 7064; https://doi.org/10.3390/jcm13237064 - 22 Nov 2024
Viewed by 162
Abstract
Objectives: Titanium miniplates and screws are commonly used in the surgical management of dentofacial deformities. Despite the opinion of the biocompatibility of these bone fixations, some patients experience symptoms of chronic inflammation around titanium implants even many years after their application. The aim [...] Read more.
Objectives: Titanium miniplates and screws are commonly used in the surgical management of dentofacial deformities. Despite the opinion of the biocompatibility of these bone fixations, some patients experience symptoms of chronic inflammation around titanium implants even many years after their application. The aim of this study was to examine the levels of cytokines, chemokines, and growth factors released from the maxilla and mandible periosteum surrounding titanium fixations 11 months after the implantation procedure. Methods: From the study group (n = 20) consisting of patients with maxillofacial defects who underwent bimaxillary osteotomy, fragments of the periosteum of the maxilla and mandible adjacent to the titanium miniplates and screws were taken during routine bone fixation removal procedures. From the control group subjects (n = 20), fragments of healthy maxillary and mandibular periosteum were taken prior to surgical treatment of dentofacial deformities. The examination of cytokines, chemokines, and growth factors levels released from the periosteum of jaws was performed using the Bio-Plex Pro Human Cytokine Screening Panel (48-Plex). Results: The study group was characterized by a significant increase in the concentration of most of the tested-for proinflammatory cytokines/chemokines/growth factors compared to the control group, with greater amounts of inflammatory factors released from the periosteum covering the titanium implants in the mandible than from the periosteal cells surrounding the titanium implants in the maxilla. Conclusions: Prolonged exposure to titanium miniplates and screws leads to a disturbance of immune homeostasis in the periosteal cells of the maxilla and mandible. The data obtained indicate the need to remove fixations after the bone fragments have healed. Full article
(This article belongs to the Special Issue State-of-the-Art Innovations in Oral and Maxillofacial Surgery)
16 pages, 3606 KiB  
Article
Impact of Virtual Reality on Decision-Making and Risk Assessment During Simulated Residential Fire Scenarios
by Micah D. Russell, Justin W. Bonny and Randal Reed
Fire 2024, 7(12), 427; https://doi.org/10.3390/fire7120427 - 22 Nov 2024
Viewed by 248
Abstract
Recent research has used virtual environments (VEs), as presented via virtual reality (VR) headsets, to study human behavior in hypothetical fire scenarios. One goal of using VEs in fire scenarios is to elicit patterns of behavior which more closely align to how individuals [...] Read more.
Recent research has used virtual environments (VEs), as presented via virtual reality (VR) headsets, to study human behavior in hypothetical fire scenarios. One goal of using VEs in fire scenarios is to elicit patterns of behavior which more closely align to how individuals would react to real fire emergency situations. The present study investigated whether elicited behaviors and perceived risk varied during fire scenarios presented as VEs via two viewing conditions. These included a VR condition, where the VE was rendered as 360-degree videos presented in a VR headset, and a screen condition, where VEs were rendered as fixed-view videos via a computer monitor screen. We predicted that the selection of actions during the scenario would vary between conditions, that participants would rate fires as more dangerous if they developed more quickly and when smoke was rendered as thicker, and that participants would report greater levels of immersion in the VR condition. A total of 159 participants completed a decision-making task where they viewed videos of an incipient fire in a residential building and judged what action to take. Initial action responses to the fire scenarios varied between both viewing and smoke conditions, with those assigned to the thicker smoke and screen conditions being more likely to take protective action. Risk ratings also varied by smoke condition, with evidence of higher perceived risk for thicker smoke. Several factors of self-reported immersion (namely ‘interest’, ‘emotional attachment’, ‘focus of attention’, and ‘flow’) were associated with risk ratings, with perceived presence associated with initial actions. The present study provides evidence that enhancing immersion and perceived risk in a VE contributes to a different pattern of behaviors during simulated fire decision-making tasks. While our investigation only addressed the ideas of presence in an environment, future research should investigate the relative contribution of interactivity and consequences within the environment to further identify how behaviors during simulated fire scenarios are affected by each of these factors. Full article
(This article belongs to the Special Issue Fire Safety and Emergency Evacuation)
Show Figures

Figure 1

Figure 1
<p>Top view of the virtual environment presented during the experiments (red square indicates the location of the fire).</p>
Full article ">Figure 2
<p>Video frames from each viewpoint location and smoke thickness condition (same growth rate and timestamped at 67 s from the start of the simulation).</p>
Full article ">Figure 3
<p>Participant workflow of events undertaken over the course of the study.</p>
Full article ">Figure 4
<p>Proportion of first action responses by smoke condition (<b>left</b>) and view condition (<b>right</b>).</p>
Full article ">Figure 5
<p>Histograms of risk ratings by smoke (thick, thin), growth (faster, slower), and view conditions. The percent of responses were tallied based on ratings for each risk scale item for each participant.</p>
Full article ">Figure 6
<p>Histograms of immersion ratings by scale and view conditions. The percents of responses were tallied based on ratings for each scale item for each participant.</p>
Full article ">Figure 7
<p>Proportion of first action responses grouped by median split of participant scores (‘hi’ = greater than median rating) based on risk ratings (left; Med. = 7) and presence ratings (right; Med. = 4).</p>
Full article ">
17 pages, 9585 KiB  
Article
Identification of the Brassinazole-Resistant (BZR) Gene Family in Wheat (Triticum aestivum L.) and the Molecular Cloning and Functional Characterization of TaBZR2.1
by Yan Zhang, Jingzi Qin, Jinna Hou, Congcong Liu, Shenghui Geng, Maomao Qin, Wenxu Li, Ziju Dai, Zhengqing Wu, Zhensheng Lei and Zhengfu Zhou
Int. J. Mol. Sci. 2024, 25(23), 12545; https://doi.org/10.3390/ijms252312545 - 22 Nov 2024
Viewed by 163
Abstract
Brassinazole-resistant (BZR) transcription factors are important transcription factors in Brassinosteroid (BR)-responsive gene expression. However, limited knowledge exists regarding the BZR genes in wheat and a limited number of BZR family genes have been previously reported in wheat. In this study, the synteny analyses [...] Read more.
Brassinazole-resistant (BZR) transcription factors are important transcription factors in Brassinosteroid (BR)-responsive gene expression. However, limited knowledge exists regarding the BZR genes in wheat and a limited number of BZR family genes have been previously reported in wheat. In this study, the synteny analyses of the TaBZR genes suggested that gene duplication events have played an essential role in the TaBZR family during evolution. The results of RT-qPCR and transcriptome data analyses exhibited remarkable expression patterns in the BZR genes in different tissues and under different treatments. The yeast two-hybrid (Y2H) screen result showed that the TaBZR2.1 protein interacts with Argonaute 4 (AGO4). Taken together, our results not only provide us a basis for understanding the molecular characteristics and expression patterns of the TaBZR family genes but also offered the functional characterization of TaBZR2.1 in wheat. Full article
(This article belongs to the Special Issue Genetic Engineering of Plants for Stress Tolerance)
Show Figures

Figure 1

Figure 1
<p>The chromosome distribution of the <span class="html-italic">TaBZR</span> genes.</p>
Full article ">Figure 2
<p>The genomic structure of <span class="html-italic">TaBZR</span> genes. The blue boxes in the schematic diagram represent the upstream/downstream sequences; the exon sequences and the introns are represented by yellow boxes and black lines, respectively.</p>
Full article ">Figure 3
<p>The tertiary structure prediction of the BZR protein in wheat. The tertiary structures of the TaBZR proteins were generated using the SWISS-MODEL. Twenty BZR proteins were modeled based on GMQE.</p>
Full article ">Figure 4
<p>The interchromosomal relationships of the <span class="html-italic">TaBZR</span> gene family in wheat. In the middle of the figure, the black lines indicate the <span class="html-italic">TaBZR</span> gene pairs, and the gray lines represent all of the synteny blocks in the wheat genome. The green bars on each chromosome represent gene density. The number of each chromosome is indicated in green.</p>
Full article ">Figure 5
<p>The cis-elements in the promoter regions of the <span class="html-italic">TaBZR</span> genes.</p>
Full article ">Figure 6
<p>Distribution of the conserved motifs of the TaBZRs. (<b>A</b>). Conserved motif analysis of TaBZR was performed in this study. The different colored boxes numbered 1–10 indicate different motifs. The annotations of the motifs are listed on the right. (<b>B</b>). The conserved amino acid sequences in each motif.</p>
Full article ">Figure 7
<p>The wheat <span class="html-italic">BZR</span> gene expression profiles. Hierarchical clustering of the wheat <span class="html-italic">BZR</span> gene expression profiles in 45 of the samples, including different tissues and development stages. The numbers in the schematic diagram represent the development stages of the same tissue.</p>
Full article ">Figure 8
<p>Expression analysis of the <span class="html-italic">TaBZR</span> genes in response to different treatments by qRT-PCR. Seeds of wheat cultivar Zhengmai366 (ZM366) were germinated for 3 days in the dark and then transferred to Hoagland liquid solution. The nutrient solution was changed every three days. At the trefoil stage (about three weeks old), seedlings were transferred to Hoagland liquid nutrient solution with ABA (200 mM), NaCl (200 mM), 20% PEG, and epi-BR (1μM) for ABA, NaCl, PEG, and epi-BR treatment, and seedlings were transferred to chambers at 37 °C or 4 °C to initiate heat and cold stress. The data were normalized with <span class="html-italic">TaACTIN</span> and <span class="html-italic">TaGAPDH</span>. The white and black columns in the diagrams represent the control and treatment groups, respectively. *, <span class="html-italic">p</span> &lt; 0.05. **, <span class="html-italic">p</span> &lt; 0.01.</p>
Full article ">Figure 9
<p>Subcellular localization of the TaBZR2.1-GFP fusion protein in the protoplast and TaBZR2.1 tissue-specific expressions. (<b>A</b>). TaBZR2.1-GFP protein driven by the 35S promoter were transiently expressed in protoplast cells of wheat, and they were observed using a confocal microscope. The GFP signals are represented by a green color; the red color represents the mCherry signals. Scale bars = 5 μM. (<b>B</b>). TaBZR2.1 tissue-specific expression profiles. Samples of the three-leaf and filling stages were collected, respectively, and the transcription levels of <span class="html-italic">TaBZR2.1</span> were measured using RT-qPCR assays, which were normalized with <span class="html-italic">TaACTIN</span> and <span class="html-italic">TaGAPDH</span>. The letters indicated significant at <span class="html-italic">p</span> &lt; 0.05. Data are the mean ± SD (n = 3).</p>
Full article ">Figure 10
<p>Overexpression of the <span class="html-italic">TaBZR2.1</span> gene in <span class="html-italic">Arabidopsis</span> negatively regulated the brassinazole-induced stress tolerance. (<b>A</b>). Seedling photographs of the 6-day-old Col-0 and TaBZR2.1-overexpressing <span class="html-italic">Arabidopsis</span> grown on 1/2 MS with brassinazole (1 μM). (<b>B</b>,<b>C</b>). The root length and leaf area of the seedlings in (<b>A</b>). The letters indicated significance at <span class="html-italic">p</span> &lt; 0.05 (n = 30). (<b>D</b>,<b>E</b>). The expression levels of <span class="html-italic">Hsp17.8</span>, <span class="html-italic">Hsp17.6A</span>, <span class="html-italic">Hsp17.B</span>, <span class="html-italic">Hsp17.C</span>, <span class="html-italic">SOS1</span>, and <span class="html-italic">CAT2</span> in the seedlings under control (<b>D</b>) and brassinazole (<b>E</b>) treatment. ***, <span class="html-italic">p</span> &lt; 0.001. ns, not significant.</p>
Full article ">Figure 11
<p>TaBZR2.1 physically interacting with AGO4. (<b>A</b>). Gel electrophoresis results for the identification of the insert fragments from the yeast library. (<b>B</b>). Yeast library titration. In the experiment, 100 μL of the 1/10, 1/100, 1/1000, and 1/10,000 dilutions and 100 μL of the yeast library were plated on SD/-Trp medium. Dilution factor = 10<sup>−1</sup> (<b>a</b>), 10<sup>−2</sup> (<b>b</b>), 10<sup>−3</sup> (<b>c</b>), and 10<sup>−4</sup> (<b>d</b>). (<b>C</b>). Yeast two-hybrid assay of TaBZR2.1 interacting with AGO4. BD-TaBZR2.1 (bait) and AD-AGO4 (prey) plasmids were transformed into the yeast (Y2H-gold) competent cell, as indicated and grown on the selection medium. (<b>D</b>). Split-LUC assay of TaBZR2.1 interacting with AGO4 in the tobacco leaves.</p>
Full article ">
13 pages, 1476 KiB  
Article
Investigating Strategies to Enhance the Aqueous Solubility of Ketamine HCl for Intranasal Delivery
by Sourour Idoudi, Alaaeldin Saleh, Mohammed Akkbik, Leena Amine, Khalid Alansari, Ousama Rachid and Alaaldin M. Alkilany
Pharmaceutics 2024, 16(12), 1502; https://doi.org/10.3390/pharmaceutics16121502 - 22 Nov 2024
Viewed by 289
Abstract
Background: Ketamine HCl, an FDA-approved therapeutic, is administered through various routes, including intranasal delivery. Administering an adequate therapeutic dose of intranasal ketamine HCl is challenging due to the limited volume that can be delivered intranasally given the current commercially available concentrations. Objectives: This [...] Read more.
Background: Ketamine HCl, an FDA-approved therapeutic, is administered through various routes, including intranasal delivery. Administering an adequate therapeutic dose of intranasal ketamine HCl is challenging due to the limited volume that can be delivered intranasally given the current commercially available concentrations. Objectives: This study investigates solubilizing strategies to enhance the aqueous solubility of ketamine HCl for intranasal administration. Methods: We assessed the solubility profile of ketamine HCl by evaluating factors such as pH, co-solvents, and surfactants. Additionally, we developed and validated a UV-Vis spectroscopy method for ketamine HCl analysis. Results: Our solubility screening in various organic co-solvents revealed the following order of effectiveness in enhancing solubility: methanol > water > propylene glycol > ethanol > dimethyl sulfoxide (DMSO) > N-methyl-2-pyrrolidone (NMP). Despite methanol’s superior solubility, its potential toxicity, coupled with the relatively lower effectiveness of other solvents compared to water, suggests that a co-solvency approach is not advantageous for ketamine HCl. We found that ketamine HCl solubility increased with medium acidity, with pH 3.5 being the optimal for further formulation studies. The impact of pharmaceutical surfactants on ketamine HCl solubility at an acidic pH was also evaluated. Surfactants tested included SDS, PEG 400, PVP, Tween 20, poloxamer 188, and lecithin. Notably, PEG 400 and PVP reduced solubility due to a salting-out effect, whereas Tween 80, lecithin, and poloxamer 188 slightly improved solubility through micelle formation. Among the surfactants tested, 1% SDS emerged as the most effective in enhancing ketamine HCl solubility. Conclusions: These outcomes highlight the potential of these solubilization strategies to address the solubility limitations of ketamine HCl, enabling the preparation of highly concentrated ketamine HCl formulations for intranasal delivery. Full article
(This article belongs to the Section Physical Pharmacy and Formulation)
Show Figures

Figure 1

Figure 1
<p>Chemical structure of ketamine enantiomers. Both stereoisomers, (S)-ketamine and (R)-ketamine, are non-superimposable mirror images. Figure created in ChemDraw.</p>
Full article ">Figure 2
<p>(<b>A</b>) UV–Vis absorption spectrum of ketamine HCl (200 µg/mL) in 0.1 M CB, pH = 3.5 between 200 and 400 nm with λ<sub>max</sub> at 269 nm. (<b>B</b>) Calibration curve of ketamine HCl in 0.1 M CB, pH = 3.5 at 269 nm.</p>
Full article ">Figure 3
<p>UV–Vis absorption spectrum of ketamine HCl (200 µg/mL) in different solvents without (<b>A</b>) and with ketamine HCl (<b>B</b>), and in solutions of various surfactants without (<b>C</b>) and with ketamine HCl (<b>D</b>) in the range of 200–400 nm. Data are expressed as mean ± SD (<span class="html-italic">n</span> = 3).</p>
Full article ">Figure 4
<p>Solubility of ketamine HCl in different co-solvents. Data are expressed as mean ± SD (<span class="html-italic">n</span> = 3). Statistical significance was calculated using 1-way ANOVA and Dunnett’s test (**** <span class="html-italic">p</span> &lt; 0.0001 indicate statistical significance compared to water).</p>
Full article ">Figure 5
<p>Solubility of ketamine HCl as a function of pH in (<b>A</b>) 0.1 M CB and (<b>B</b>) 0.1 M PBS. Data are expressed as mean ± SD (<span class="html-italic">n</span> = 3). Statistical significance was calculated using 1-way ANOVA and Dunnett’s test (** <span class="html-italic">p</span> &lt; 0.01, and **** <span class="html-italic">p</span> &lt; 0.0001 indicate statistical significance compared to the pH 3.5 condition).</p>
Full article ">Figure 6
<p>Chemical structures of the used surfactants for ketamine HCl solubilization. Figure was created in ChemDraw.</p>
Full article ">Figure 7
<p>Solubility of ketamine HCl with different surfactants in CB with pH 3.5 (control) with different surfactants. Data are expressed as mean ± SD (<span class="html-italic">n</span> = 3). Statistical significance calculated using 1-way ANOVA and Dunnett’s test (ns = not significant, * <span class="html-italic">p</span> &lt; 0.05 indicate statistical significance compared to the control).</p>
Full article ">
12 pages, 1589 KiB  
Article
Partial Reprogramming Exerts a Rejuvenating Effect on Human Mesenchymal Stem Cells That Underwent Replicative Senescence in Culture
by Julia Ivanova, Mariia Shorokhova, Natalia Pugovkina, Irina Kozhukharova, Larisa Alekseenko, Nikita Guriev, Ivan Kuneev, Alisa Domnina, Tatiana Grinchuk, Victoria Zemelko and Olga Lyublinskaya
Int. J. Mol. Sci. 2024, 25(23), 12533; https://doi.org/10.3390/ijms252312533 - 22 Nov 2024
Viewed by 197
Abstract
Mesenchymal stem/stromal cells (MSCs) are becoming increasingly important for biomedical applications, such as cell therapy, disease modeling, and drug screening. At the same time, long-term cultivation, which is necessary to prepare a sufficient amount of cellular material for therapeutic and research purposes, is [...] Read more.
Mesenchymal stem/stromal cells (MSCs) are becoming increasingly important for biomedical applications, such as cell therapy, disease modeling, and drug screening. At the same time, long-term cultivation, which is necessary to prepare a sufficient amount of cellular material for therapeutic and research purposes, is accompanied by the development of replicative senescence. Partial reprogramming emerged as a novel method that shows promising results in the rejuvenation of cells in vitro and in vivo; however, it has not yet been applied for human MSCs that have undergone replicative senescence in culture. In the present study, we subjected senescent human endometrial MSCs to partial reprogramming using Sendai virus vectors containing genes encoding Yamanaka transcription factors Oct4, Sox2, Klf4, and c-Myc. Characterization of the MSCs 5 days after transduction showed the loss of key markers of senescence: the youthful morphology was restored, the expression of senescent-associated β-galactosidase and the number of double-strand DNA breaks decreased, proliferation was activated, and the DNA damage response was enhanced. Further, using an in vitro wound-healing assay, we demonstrated that conditioned medium from partially reprogrammed MSCs showed higher therapeutic activity than that from senescent cells. However, a biosafety test revealed the presence of viral components in conditioned medium, which caused the agglutination of erythrocytes. Collectively, our data suggest that partial reprogramming is a potentially effective strategy for the rejuvenation of cultured MSCs in late passages but requires the use of virus-free protocols, such as chemical reprogramming. Full article
Show Figures

Figure 1

Figure 1
<p>Markers of senescence in RS-MSC cultures underwent long-term cultivation. (<b>a</b>) Expression of SA-β-gal (images and quantification of the SA-β-gal+ cell fraction), scale bar = 200 µm; (<b>b</b>) increase in the mean size of the RS-MSCs; (<b>c</b>) lipofuscin-associated increase in the autofluorescence signal; (<b>d</b>) proliferation arrest evidenced by the RS-MSC growth curve; (<b>e</b>) upregulation of the marker genes of cell senescence: <span class="html-italic">CDKN2A</span> (codes p16) and <span class="html-italic">CDKN1A</span> (codes p21); and (<b>f</b>) scheme of partial reprogramming experiment. Data in B to E are shown as mean ± SD (N = 3). * <span class="html-italic">p</span> &lt; 0.05 vs. Cntr. Abbreviations: Cntr, control cells (MSCs at the passage 9–11); RS, cells that underwent replicative senescence (MSCs at the passage 35–40); and MSCs, mesenchymal stem/stromal cells.</p>
Full article ">Figure 2
<p>Partial reprogramming exerts a rejuvenating effect on RS-MSCs. (<b>a</b>) Immunophenotyping of RS- and PR-MSCs on MSC-specific CD markers. (<b>b</b>–<b>g</b>) Signs of senescence reversal in PR-MSCs: drop in the SA-β-gal expression, scale bar = 100 µM (<b>b</b>); measurement of the mean volume using Scepter™ 2.0 (<b>c</b>); decrease in the autofluorescence signal measured by flow cytometry (<b>d</b>); decrease in the number of cells with DNA double-strand breaks, scale bar = 50 µM (<b>e</b>); upregulation of genes involved in the DNA repair–<span class="html-italic">ATM</span> and <span class="html-italic">CHEK1</span> genes, alterations in gene expression indicating the suppressed activity of p53/p21 signaling pathway–<span class="html-italic">MDM2</span>, <span class="html-italic">TP53</span> and <span class="html-italic">CDKN1A</span> genes, and downregulation of genes involved in senescence propagation–<span class="html-italic">SERPINE1</span> and <span class="html-italic">IGFBP3</span> (<b>f</b>); and increase in the % of S-phase cells (G<sub>0</sub>/G<sub>1</sub>-phase (blue), S-phase (green). G<sub>2</sub>/M-phase (red)) (<b>g</b>). Data in (<b>b</b>–<b>d</b>,<b>f</b>,<b>g</b>) are shown as mean ± SD (N &gt; 3). * <span class="html-italic">p</span> &lt; 0.05 and ** <span class="html-italic">p</span> &lt; 0.01 vs. RS. Abbreviations: RS, cells that underwent replicative senescence (MSCs at the passage 30–40); PR, partially reprogrammed cells (MSCs at the passage 30–40 after 5 days since transduction with Yamanaka factors); and MSCs, mesenchymal stem/stromal cells.</p>
Full article ">Figure 3
<p>Revitalization is accompanied by the enhancement of the therapeutic potential of PR-MSCs. (<b>a</b>) RT-qPCR analysis of migration-associated genes upregulated in PR-MSCs. Data are shown as mean ± SD (N &gt; 3). * <span class="html-italic">p</span> &lt; 0.05 and ** <span class="html-italic">p</span> &lt; 0.01 vs. RS; (<b>b</b>) scratch assay on MSCs using conditioned medium from RS-MSCs (left panel) and from PR-MSCs (right panel), white dotted line shows the edges of the healing scratch, scale bar = 100 µM. The most representative dynamics of scratch healing are shown. (<b>c</b>) Hemagglutination assay, testing the conditioned medium from RS- and PR-MSCs on the presence of viral components. The arrow shows the highest dilution of conditioned medium exhibiting hemagglutination. Abbreviations: RS, cells that underwent replicative senescence (MSCs at the passage 30–40); PR, partially reprogrammed cells (MSCs at the passage 30–40 after 5 days since transduction with Yamanaka factors); CM, conditioned medium; and MSCs, mesenchymal stem/stromal cells.</p>
Full article ">
15 pages, 2488 KiB  
Systematic Review
Prevalence and Predictors of Diabetic Retinopathy in Saudi Arabia: Insights from a Systematic Review and Meta-Analysis
by Ali Mohammed Alshahrani, Alaa Mohammed Alshahrani, Beshayer Abdullah H. Al-Boqami, Alwaleed Abdulhadi Alqahtani, Bassam Alzahrani, Yousef Bassi, Mohammed Yousef Almohaimeed, Abeer Mohammed Alalmaai, Ariana Saraiva, Bandar Naffaa Alhumaidi, Najla A. Albaridi, Maria João Lima, Conrado Carrascosa and António Raposo
Biomolecules 2024, 14(12), 1486; https://doi.org/10.3390/biom14121486 - 22 Nov 2024
Viewed by 251
Abstract
Background: Diabetic retinopathy (DR) is one of the leading causes of blindness among diabetic patients, particularly in areas with an increase in diabetes epidemics, such as Saudi Arabia. Notwithstanding the significant public health implications, data on the prevalence and risk factors of DR [...] Read more.
Background: Diabetic retinopathy (DR) is one of the leading causes of blindness among diabetic patients, particularly in areas with an increase in diabetes epidemics, such as Saudi Arabia. Notwithstanding the significant public health implications, data on the prevalence and risk factors of DR in Saudi Arabia are few and scattered, limited to certain geographic areas. Our study objective is to conduct a systematic review of the literature and a meta-analysis of the prevalence and predictors for DR in Saudi Arabia, within both type 1 and type 2 diabetes. Methods: A systematic review and meta-analysis were constructed according to PRISMA guidelines. We searched PubMed, Embase, Web of Science, and Google Scholar electronic databases for studies published from 2000–2023. Any study related to the prevalence of diabetic retinopathy in T1DM or T2DM among adult patients aged ≥18 years that was conducted in Saudi Arabia was included. Pooling prevalence estimates were calculated using a random-effects model, and heterogeneity across the studies was tested by the I2 statistic and Cochran’s Q test. Results: A total of 11 studies published between 2006 and 2019 met the inclusion criteria, with sample sizes ranging from 99 to over 50,000 participants. The overall pooled prevalence of DR was estimated to be 31% (95% CI: 24–39%), with substantial heterogeneity observed across studies (I2 = 99%). Prevalence estimates ranged from 16.7% to 69.8% and were influenced by variables such as study design, duration of diabetes, and glycemic control. Among individuals with type 2 diabetes, the pooled prevalence was 24% (95% CI: 20–28%). Poor glycemic control and longer diabetes duration were consistently identified as significant predictors of DR, while other factors, such as obesity and hypertension, were also associated with an increased risk of DR. Conclusions: The high prevalence of DR in Saudi Arabia highlights the critical need for focused public health initiatives, especially among those with type 2 diabetes. To minimize the effects of DR, early intervention, routine DR screening programs, and optimal diabetes control are essential. The increasing prevalence of DR in Saudi Arabia requires careful consideration of healthcare policy and resource allocation, which is made possible by our results. Full article
Show Figures

Figure 1

Figure 1
<p>PRISMA flow diagram. PRISMA = Preferred Reporting Items for Systematic Reviews and Meta-Analyses.</p>
Full article ">Figure 2
<p>Forest plot of the prevalence of diabetic retinopathy among patients with diabetes of our included studies. Blue square boxes represent the rate [<a href="#B12-biomolecules-14-01486" class="html-bibr">12</a>,<a href="#B23-biomolecules-14-01486" class="html-bibr">23</a>,<a href="#B24-biomolecules-14-01486" class="html-bibr">24</a>,<a href="#B25-biomolecules-14-01486" class="html-bibr">25</a>,<a href="#B26-biomolecules-14-01486" class="html-bibr">26</a>,<a href="#B27-biomolecules-14-01486" class="html-bibr">27</a>,<a href="#B28-biomolecules-14-01486" class="html-bibr">28</a>,<a href="#B29-biomolecules-14-01486" class="html-bibr">29</a>,<a href="#B30-biomolecules-14-01486" class="html-bibr">30</a>,<a href="#B31-biomolecules-14-01486" class="html-bibr">31</a>,<a href="#B32-biomolecules-14-01486" class="html-bibr">32</a>].</p>
Full article ">Figure 3
<p>Forest plot of the prevalence of diabetic retinopathy among patients with type 2 diabetes in our included studies. Blue square boxes represent the rate [<a href="#B25-biomolecules-14-01486" class="html-bibr">25</a>,<a href="#B26-biomolecules-14-01486" class="html-bibr">26</a>,<a href="#B27-biomolecules-14-01486" class="html-bibr">27</a>,<a href="#B28-biomolecules-14-01486" class="html-bibr">28</a>,<a href="#B29-biomolecules-14-01486" class="html-bibr">29</a>,<a href="#B32-biomolecules-14-01486" class="html-bibr">32</a>].</p>
Full article ">Figure 4
<p>Subgroup analysis of diabetic retinopathy prevalence across primary care [<a href="#B12-biomolecules-14-01486" class="html-bibr">12</a>,<a href="#B23-biomolecules-14-01486" class="html-bibr">23</a>,<a href="#B25-biomolecules-14-01486" class="html-bibr">25</a>,<a href="#B26-biomolecules-14-01486" class="html-bibr">26</a>,<a href="#B27-biomolecules-14-01486" class="html-bibr">27</a>,<a href="#B30-biomolecules-14-01486" class="html-bibr">30</a>,<a href="#B31-biomolecules-14-01486" class="html-bibr">31</a>,<a href="#B32-biomolecules-14-01486" class="html-bibr">32</a>] and diabetic centers in Saudi Arabia [<a href="#B24-biomolecules-14-01486" class="html-bibr">24</a>,<a href="#B28-biomolecules-14-01486" class="html-bibr">28</a>,<a href="#B29-biomolecules-14-01486" class="html-bibr">29</a>].</p>
Full article ">Figure 5
<p>Baujat plot highlighting study contributions to heterogeneity and influence on overall diabetic retinopathy prevalence estimates [<a href="#B12-biomolecules-14-01486" class="html-bibr">12</a>,<a href="#B23-biomolecules-14-01486" class="html-bibr">23</a>,<a href="#B24-biomolecules-14-01486" class="html-bibr">24</a>,<a href="#B25-biomolecules-14-01486" class="html-bibr">25</a>,<a href="#B26-biomolecules-14-01486" class="html-bibr">26</a>,<a href="#B27-biomolecules-14-01486" class="html-bibr">27</a>,<a href="#B28-biomolecules-14-01486" class="html-bibr">28</a>,<a href="#B29-biomolecules-14-01486" class="html-bibr">29</a>,<a href="#B30-biomolecules-14-01486" class="html-bibr">30</a>,<a href="#B31-biomolecules-14-01486" class="html-bibr">31</a>,<a href="#B32-biomolecules-14-01486" class="html-bibr">32</a>].</p>
Full article ">
13 pages, 1187 KiB  
Article
Body Volatilome Study Strategy for COVID-19 Biomarker Identification Considering Exogenous Parameters
by Elsa Boudard, Nabil Moumane, José Dugay, Jérôme Vial and Didier Thiébaut
Separations 2024, 11(12), 336; https://doi.org/10.3390/separations11120336 - 22 Nov 2024
Viewed by 329
Abstract
Since the 1950s, the screening of the body volatilome has proven to be a powerful tool for preventing diseases from spreading. Following the COVID-19 crisis, several studies began investigating the connection between viruses and the body volatilome, gradually identifying potential biomarkers, which varied [...] Read more.
Since the 1950s, the screening of the body volatilome has proven to be a powerful tool for preventing diseases from spreading. Following the COVID-19 crisis, several studies began investigating the connection between viruses and the body volatilome, gradually identifying potential biomarkers, which varied depending on the study. To try to elucidate potential sources of inconsistency in biomarker findings, we decided to set up a study taking into consideration the factors often overlooked in previous studies. The VOCs constituting the body volatilomes of 40 COVID-19 patients and 13 healthy subjects were sampled by using PowerSorb® as the sorbent phase. Thermodesorption, followed by comprehensive two-dimensional gas chromatography combined with time-of-flight mass spectrometry (TD-GC×GC/TOF MS), was utilized for the analysis. A non-targeted biomarker research methodology compared Covid(+) and Covid(−) chromatograms, assessing statistical significance and peak area changes. Out of the 25 compounds highlighted, 13 associated with cosmetic products were excluded, and 8 linked to air pollution in urban settings were also excluded. Finally, after having quantitatively evaluated the potential sources of the compounds (cosmetic or environmental), 4 compounds remained and their relevance was assessed using ROC curves. Among them, hexanoic acid, 2-ethyl- identification was confirmed with standard and led to an area-under-the-curve value of 92%. More in-depth studies are needed to investigate the specificity of the biomarker in relation to COVID-19, but the strategy of this study shows how to avoid obtaining data that are biased by exogenous factors. Full article
(This article belongs to the Section Bioanalysis/Clinical Analysis)
Show Figures

Graphical abstract

Graphical abstract
Full article ">Figure 1
<p>A schematic representation of the research methodology used for volatile biomarkers associated with COVID-19. The ChromaToF Tile was used as a non-targeted step to obtain a list of statistically significant hits, the fold changes FC<sub>1</sub> and FC<sub>1</sub>′ allowed us to keep only compounds 10 times over- or underexpressed for COVID-19 patients, and FC<sub>2</sub> allowed us to eliminate interfering compounds coming from the sampling device. (The figure was made with BioRender).</p>
Full article ">Figure 2
<p>TD-GC×GC/TOF MS chromatograms of body volatilome sample for (<b>a</b>) a Covid(+) individual sampled in the hospital and (<b>b</b>) a healthy subject sampled in the ESPCI. The compound present in the area circled in red corresponds to the benzoic acid, 2,4-dichloro-.</p>
Full article ">Figure 3
<p>ROC curves of the 5 potential volatile biomarkers of COVID-19. <span class="html-italic">p</span>-values are obtained using Wilcoxon’s test.</p>
Full article ">
12 pages, 255 KiB  
Article
Iron Deficiency Anemia and Dyslipidemia Among Hospital Nurses: A Cross-Sectional Study in Turkey
by Volkan Medeni, Rabia Aygür, İrem Medeni, Kübra Nur Türk, Asiye Uğraş Dikmen and Mustafa Necmi İlhan
J. Clin. Med. 2024, 13(23), 7042; https://doi.org/10.3390/jcm13237042 - 22 Nov 2024
Viewed by 333
Abstract
Introduction: Anemia and dyslipidemia are significant health concerns that affect individual health and societal development. This study aimed to determine the prevalence of iron deficiency anemia and dyslipidemia among nurses in a university hospital in Turkey and explore potential relationships between these [...] Read more.
Introduction: Anemia and dyslipidemia are significant health concerns that affect individual health and societal development. This study aimed to determine the prevalence of iron deficiency anemia and dyslipidemia among nurses in a university hospital in Turkey and explore potential relationships between these conditions. Methods: This cross-sectional study was conducted among 712 nurses who underwent periodic health examinations. Data on demographic characteristics, hemoglobin, iron parameters, ferritin, transferrin saturation, and lipid profile were analyzed. People with all four hemoglobin, iron, ferritin, and transferrin saturation values lower than normal ranges at the same time were considered to have iron deficiency anemia. Results: Iron deficiency anemia prevalence was 10.7%, with no cases observed in male nurses or those aged 51 and older. Among the nurses, approximately 16.3% had low hemoglobin levels, 16.6% had low hematocrit levels, 30.6% had low ferritin levels, 36.0% had low transferrin saturation, 40.3% had low iron levels, and 24.9% high iron-binding capacity. Elevated total cholesterol was observed in 34.8%, high LDL in 29.6%, low HDL in 27.0%, and elevated triglycerides in 15.0%. Nurses with iron deficiency anemia had significantly lower triglyceride levels than those without. Weak positive correlations were found between triglycerides and hemoglobin, iron, ferritin, and transferrin levels. Additionally, higher total cholesterol, LDL, and triglyceride levels were associated with increased hemoglobin levels. Conclusions: This study highlights the high prevalence of iron deficiency anemia and dyslipidemia among hospital nurses, with a notable association between these conditions and factors such as age, gender, and dietary habits. Our findings underscore the need for healthcare services to prioritize the prevention, diagnosis, and management of these health issues in healthcare workers. A comprehensive approach, including regular screenings, dietary improvements, and addressing workplace factors could improve health outcomes and enhance healthcare delivery. Full article
(This article belongs to the Section Epidemiology & Public Health)
16 pages, 322 KiB  
Article
Correlates of Overweight and Obesity in German Primary School Children
by Anna Reißner, Olivia Wartha, Jens Dreyhaupt and Susanne Kobel
Nutrients 2024, 16(23), 3987; https://doi.org/10.3390/nu16233987 - 21 Nov 2024
Viewed by 232
Abstract
Background/Objectives: Childhood obesity is a consistent public health issue, which often persists into adulthood. This study determined risk factors of childhood obesity and associated comorbidities in German school children. Methods: Data of 1956 primary school children (7.1 ± 0.6 years) were analysed. Anthropometrics [...] Read more.
Background/Objectives: Childhood obesity is a consistent public health issue, which often persists into adulthood. This study determined risk factors of childhood obesity and associated comorbidities in German school children. Methods: Data of 1956 primary school children (7.1 ± 0.6 years) were analysed. Anthropometrics were taken on site, other (health) parameters were assessed using a parental questionnaire. Binary logistic regression models were calculated, controlling for age, gender, family education level, and migration background. Results: Father’s physical illness (OR 1.092 [1.177; 3.073], p = 0.009) and a child’s chronic illness (OR 1.687 [1.077; 2.644], p = 0.022), maternal and paternal overweight (OR 2.180 [1.492; 3.185]; OR 2.494 [1.547; 4.022], p < 0.001, respectively), as well as maternal and paternal smoking (OR 1.942 [1.306; 2.889]; OR 1.972 [1.334; 2.917], p = 0.001, respectively) were significantly associated with the child being overweight. Also associated with the child being overweight were physical activity, regular screen media use (OR 0.605 [0.408, 0.896], p = 0.012; OR 2.029 [1.306; 3.152], p = 0.002, respectively), the mother and/or father thinking their child is too fat (OR 2.213 [1.504; 3.258], p < 0.001; OR 1.537 [1.048; 2.253], p = 0.028), the father’s physical inactivity (OR 1.69 [1.133; 2.521], p = 0.010), and if the child has not been breastfed (OR 1.632 [1.056; 2.521], p = 0.027), the mother smoked during pregnancy (OR 1.992 [1.224; 3.246], p = 0.006) as well as if the mother and/or father admonished their child about their weight (OR 25.521 [14.578; 44.680]; OR 19.448 [11.865; 31.877], p < 0.001, respectively). Children of unemployed mothers and in low-income households had an increased risk of being overweight (OR 4.811 [1.642; 14.096], p = 0.004; OR 2.203 [1.360; 3.568], p = 0.001, respectively). Conclusions: This study shows that parental health, lifestyle, and social behaviours matter in determining childhood obesity. Understanding those is essential to promoting a healthy lifestyle. Full article
17 pages, 925 KiB  
Review
Microbiome-Derived Trimethylamine N-Oxide (TMAO) as a Multifaceted Biomarker in Cardiovascular Disease: Challenges and Opportunities
by Kinga Jaworska, Wojciech Kopacz, Mateusz Koper and Marcin Ufnal
Int. J. Mol. Sci. 2024, 25(23), 12511; https://doi.org/10.3390/ijms252312511 - 21 Nov 2024
Viewed by 331
Abstract
Biomarkers play a crucial role in various stages of disease management, including screening, diagnosis, prediction, prognosis, treatment, and safety monitoring. Although they are powerful tools in disease diagnosis, management, and drug development, identifying and validating reliable biomarkers remains a significant challenge. Among potential [...] Read more.
Biomarkers play a crucial role in various stages of disease management, including screening, diagnosis, prediction, prognosis, treatment, and safety monitoring. Although they are powerful tools in disease diagnosis, management, and drug development, identifying and validating reliable biomarkers remains a significant challenge. Among potential microbiome-derived biomarkers, trimethylamine N-oxide (TMAO) has gained notable attention for its link to atherosclerosis and cardiovascular risk. However, despite the growing body of research on TMAO, its practical application in clinical settings for disease management and patient outcome enhancement is still not a reality. This paper presents recent data on the utility of TMAO as a cardiovascular biomarker, categorized by its various roles: diagnostic, prognostic, susceptibility/risk, monitoring, pharmacodynamic/response, predictive, and safety. It also briefly discusses research on TMAO’s potential role in cardiovascular disease development. While TMAO shows promise, particularly in prognostic applications, its reliability as a biomarker has been inconsistent across studies. These variances may result from several confounding factors that affect TMAO plasma levels, including diet, kidney function, and demographic variables. The review aims to elucidate the specific contexts in which TMAO can be valuable, potentially leading to more personalized and effective management of cardiovascular disease. Full article
Show Figures

Graphical abstract

Graphical abstract
Full article ">Figure 1
<p>TMA/TMAO metaorganismal pathway. TMA—trimethylamine; TMAO—trimethylamine N-oxide; FMO3—flavin-containing monooxygenase 3.</p>
Full article ">Figure 2
<p>Hypothetical TMAO effects on cardiovascular pathology. ER stress—endoplasmic reticulum stress; FOXO1—Forkhead box protein O1; IL—interleukin; mt ROS—mitochondrial reactive oxygen species; NF-κB—nuclear factor kappa-light-chain-enhancer of activated B cells; NLRP3—NOD-, LRR-, and pyrin domain-containing protein 3; PERK—protein kinase R-like endoplasmic reticulum kinase; TMAO—trimethylamine N-oxide; TNFα—tumor necrosis factor alpha; VCAM-1—vascular cell adhesion molecule 1.</p>
Full article ">
19 pages, 2722 KiB  
Article
Corrosion Rate Prediction of Buried Oil and Gas Pipelines: A New Deep Learning Method Based on RF and IBWO-Optimized BiLSTM–GRU Combined Model
by Jiong Wang, Zhi Kong, Jinrong Shan, Chuanjia Du and Chengjun Wang
Energies 2024, 17(23), 5824; https://doi.org/10.3390/en17235824 - 21 Nov 2024
Viewed by 213
Abstract
The corrosion of oil and gas pipelines represents a significant factor influencing the safety of these pipelines. The extant research on intelligent algorithms for assessing corrosion rates in pipelines has primarily focused on static evaluation methods, which are inadequate for providing a comprehensive [...] Read more.
The corrosion of oil and gas pipelines represents a significant factor influencing the safety of these pipelines. The extant research on intelligent algorithms for assessing corrosion rates in pipelines has primarily focused on static evaluation methods, which are inadequate for providing a comprehensive dynamic evaluation of the complex phenomenon of corrosion in buried oil and gas pipelines. This paper proposes a novel approach to predicting the corrosion rate of buried oil and gas pipelines. The method is based on the combination of an improved Beluga Optimization algorithm (IBWO) and Random Forest (RF) optimization with BiLSTM and gated cycle unit (GRU), which are used to classify corrosion rates as high or low. Initially, a feature screening of corrosion factors was conducted via RF, whereby variables exhibiting a strong correlation were extracted. Subsequently, IBWO was employed to optimize the feature selection process, with the objective of identifying the optimal feature subset to enhance the model’s performance. Ultimately, the BiLSTM method was employed for the purpose of predicting the occurrence of low corrosion. A GRU method was employed for prediction in the context of high corrosion conditions. The RF–IBWO-BiLSTM–GRU model constructed in this paper demonstrates high prediction accuracy for both high and low corrosion rates. The verification of 100 groups of experimental data yielded the following results: the mean square error of this model is 0.0498 and the R2 is 0.9876, which is significantly superior to that of other prediction models. The combined model, which incorporates an intelligent algorithm, is an effective means of enhancing the precision of buried pipeline corrosion rate prediction. Furthermore, it offers a novel approach and insight that can inform subsequent research on the prediction of corrosion rates in buried oil and gas pipelines. Full article
(This article belongs to the Section H: Geo-Energy)
Show Figures

Figure 1

Figure 1
<p>Study framework.</p>
Full article ">Figure 2
<p>Corrosion rate diagram of the embedded experiment results.</p>
Full article ">Figure 3
<p>Prediction results of the BiLSTM algorithm.</p>
Full article ">Figure 4
<p>Prediction results of the GRU algorithm.</p>
Full article ">Figure 5
<p>Prediction results of the BiLSTM–GRU algorithm.</p>
Full article ">Figure 6
<p>Framework diagram of the RF–IBWO-BiLSTM–GRU prediction model.</p>
Full article ">Figure 7
<p>Prediction results of the RF–IBWO-BiLSTM–GRU algorithm.</p>
Full article ">Figure 8
<p>Comparative analysis diagram of multi-algorithm prediction results.</p>
Full article ">
Back to TopTop