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Nevin Manimala Statistics

Aerobic Exercise Modulates Lipo-Toxicity Genes Expression in Cardiac Tissue of Obese Rats Induced with High-Fat and Fructose Diet

Adv Biomed Res. 2025 Oct 31;14:116. doi: 10.4103/abr.abr_201_24. eCollection 2025.

ABSTRACT

BACKGROUND: Obesity stands as a significant contributor to physical disability and is associated with a range of health issues, particularly cardiovascular diseases. This study aims to explore the impact of aerobic exercise on the expression levels of lipo-toxicity genes within the cardiac tissue of obese male rats that have been subjected to a diet high in fat and fructose.

MATERIALS AND METHODS: Twenty-four male Wistar rats were randomly divided into three groups (n = 8 rats): 2 months of standard diet, 2 months of high-fat diet containing fructose (60% fat and 25% fructose diet), and aerobic exercise group (consumed 60% fat food containing 25% fructose; in addition, from the eighth week to the end of the research period, they performed continuous aerobic exercise with an average intensity of 15 m/min for 30 min on a treadmill). At the end of the study, the anthropometrical parameters and markers of obesity and also genes expression of peroxisome proliferator-activated receptor alpha (PPARα), peroxisome proliferator-activated receptor gamma coactivator 1-alpha (PGC1-α), pyruvate dehydrogenase kinase 4 (PDK4), and mast cell protease-1 (mCPT1) were measured using the real-time polymerase chain reaction technique. One-way analysis of variance and Tukey’s post hoc test were used for statistical analysis.

RESULTS: The expression level of PPARα, PGC1-α, PDK4, and mCPT1 genes in the cardiac tissue of obese rats was significantly lower than that of the healthy control group. Also, the gene expression level of PGC1-α, PDK4, and mCPT1 significantly decreases, whereas the gene expression level of the PPARα increased in the exercise group compared to the obese groups.

CONCLUSION: It seems that aerobic exercise can modulate the expression of PPARα, PGC1-α, PDK4, and mCPT1 genes and improve fat metabolism in cardiac tissue samples. It is suggested that aerobic exercise can be useful for obese patients with cardiovascular problems.

PMID:41307085 | PMC:PMC12646347 | DOI:10.4103/abr.abr_201_24

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Nevin Manimala Statistics

Determination of the Practical Latent Phase for Term and Low-Risk Women with Premature Rupture of Membrane

Adv Biomed Res. 2025 Oct 31;14:125. doi: 10.4103/abr.abr_655_24. eCollection 2025.

ABSTRACT

BACKGROUND: To compare the outcomes of 12-hour versus 24-hour latent phase durations in low-risk women with premature rupture of membranes (PROM).

MATERIALS AND METHODS: This prospective study included 213 women with PROM at ≥37 weeks of gestation, randomized into two groups: 12-hour (n = 142) and 24-hour (n = 71) latent phase management. Participants underwent cervical ripening followed by oxytocin induction. Primary outcomes included cesarean section rates and maternal and neonatal complications.

RESULTS: The 24-hour latent phase group showed a clinically relevant but non-significant 32% reduction in cesarean section rates compared to the 12-hour group (OR: 1.32, 95% CI: 0.73-2.38, P = 0.360). No statistically significant differences were observed in maternal complications (emergency cesarean section, atony, chorioamnionitis) or neonatal outcomes (NICU admission, Apgar scores <7) between groups (all P values > 0.05). Nulliparous women had numerically higher but statistically nonsignificant complication rates than multiparous women (all P values > 0.05).

CONCLUSION: Extending the latent phase to 24 hours in carefully selected PROM cases may offer a clinically meaningful reduction in cesarean sections, though this finding was not statistically significant. The approach did not increase maternal or neonatal risks. Parity-specific trends warrant further investigation.

PMID:41307084 | PMC:PMC12646336 | DOI:10.4103/abr.abr_655_24

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Nevin Manimala Statistics

Misinformation interventions and online sharing behaviour: lessons learned from two pre-registered field studies

R Soc Open Sci. 2025 Nov 26;12(11):251377. doi: 10.1098/rsos.251377. eCollection 2025 Nov.

ABSTRACT

The spread of misinformation on social media continues to pose challenges. While prior research has shown some success in reducing susceptibility to misinformation at scale, how individual-level interventions impact the quality of content shared on social networks remains understudied. Across two pre-registered longitudinal studies, we ran two Twitter/X ad campaigns, targeting a total of 967 640 Twitter/X users with either a previously validated ‘inoculation’ video about emotional manipulation or a control video. We hypothesized that Twitter/X users who saw the inoculation video would engage less with negative-emotional content and share less content from unreliable sources. We do not find evidence for our hypotheses, observing no meaningful changes in posting or retweeting post-intervention. Our findings are most likely compromised by Twitter/X’s ‘fuzzy matching’ policy, which introduced substantial noise in our data (approx. 7.5% of targeted individuals were actually exposed to the intervention). Our findings are thus probably the result of treatment non-compliance rather than ‘true’ null effects. Importantly, we also demonstrate that different statistical analyses and time windows (looking at the intervention’s effects over 1 h versus 6 h or 24 h, etc.) can yield different and even opposite significant effects, highlighting the risk of interpreting noise from field studies as signal.

PMID:41307058 | PMC:PMC12646748 | DOI:10.1098/rsos.251377

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Nevin Manimala Statistics

Eco-innovative dyeing of cotton with upcycled pineapple peel waste-derived natural dye

R Soc Open Sci. 2025 Nov 26;12(11):251200. doi: 10.1098/rsos.251200. eCollection 2025 Nov.

ABSTRACT

Pineapple (Ananas comosus) peel, an abundant agro-industrial by-product, offers significant potential as a sustainable natural dye for textile applications. This study optimized colourant extraction using an alkaline-water system and evaluated dyeing performance on cotton fabrics. Statistical optimization through four-factor linear regression identified optimal conditions: mass-to-liquid ratio of 1 : 10, 12% NaOH, 80°C and 2 h extraction time, yielding 35-40% colourant, significantly outperforming organic solvents (<1%). High-performance liquid chromatography analysis revealed distinctive polyphenolic profiles between alkaline and water extraction methods, demonstrating altered compound distribution and enhanced extraction efficiency under alkaline conditions. Thermogravimetric analysis revealed dye stability up to 160°C, while particle size analysis showed a mean size of 266 nm, enabling effective fibre penetration. Quantitative dyeing evaluation demonstrated 43.05% exhaustion, 27.76% total fixation efficiency and 0.64 fixation ratio. Colorimetric analysis revealed significant mordant-dependent variations, with tannic acid achieving superior colour strength (K/S = 21.4) compared to metallic mordants: zinc sulfate, alum and ammonium ferrous sulfate. CIELab coordinates confirmed successful dye uptake (L* = -6.92 to -12.83). Post-mordanting with zinc sulfate achieved excellent fastness properties: wash (4-5), light (4) and rubbing (4) fastness. Cationization minimized electrostatic repulsion between cotton and anionic dye molecules, enhancing dye absorption. The findings demonstrate pineapple peel waste viability as a cost-effective natural dye with quantified performance metrics supporting commercial feasibility and circular economy principles in sustainable textile manufacturing.

PMID:41307052 | PMC:PMC12646757 | DOI:10.1098/rsos.251200

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Nevin Manimala Statistics

Practice of High-Flow Nasal Cannula in Patients with Mild to Moderate COPD Among Healthcare Providers in Saudi Arabia: A Cross-Sectional Study

J Multidiscip Healthc. 2025 Nov 20;18:7567-7577. doi: 10.2147/JMDH.S560186. eCollection 2025.

ABSTRACT

BACKGROUND: High-flow nasal cannula (HFNC) has emerged as a promising non-invasive oxygen therapy for patients with chronic obstructive pulmonary disease (COPD), particularly those with mild to moderate hypercapnia. Despite its growing use, no studies in Saudi Arabia have explored healthcare providers’ clinical practices or perceived barriers related to HFNC application in this patient population. This study aimed to assess the current clinical use and implementation challenges of HFNC among physicians and respiratory therapists (RTs) in Saudi Arabia.

METHODS: A cross-sectional survey was conducted among physicians and RTs across Saudi Arabia from October 27, 2024, to May 20, 2025. The survey, distributed via several channels, collected data on HFNC practices, initial settings, weaning approaches, and perceived barriers. Descriptive statistics presented as frequencies and percentages. Chi-square tests were used to assess differences between physicians and RTs, with a significance level set at p < 0.05.

RESULTS: A total of 1724 healthcare providers completed the survey, including 636 (36.9%) physicians and 1,088 (63.1%) RTs. Significant variations were found between the two groups regarding who initiates HFNC, preferred flow rates, and temperature settings (p < 0.05). The most common flow rate selected was 30-40 L/min (47.2%), and initial FiO2 levels typically ranged between 41% and 60%. Regarding weaning, 43% of respondents reduced flow by 5-10 L/min every 2-4 hours, and 48% disconnected HFNC when the flow rate dropped below 20 L/min. The primary barriers reported by both groups included lack of standardized protocols, insufficient training, and limited HFNC knowledge.

CONCLUSION: There is an inconsistent clinical practice regarding HFNC use in mild to moderate COPD among healthcare providers in Saudi Arabia. Addressing knowledge gaps and standardizing protocols may enhance the effective implementation of HFNC therapy and improve patient outcomes.

PMID:41307048 | PMC:PMC12644235 | DOI:10.2147/JMDH.S560186

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Nevin Manimala Statistics

Mental health and creativity in university students: a multidimensional mediation model of cognition, emotion, and motivation

Front Psychol. 2025 Nov 11;16:1647823. doi: 10.3389/fpsyg.2025.1647823. eCollection 2025.

ABSTRACT

Mental health is a fundamental basis for the comprehensive development of college students, and creativity is a key factor in academic success and future adaptability. Although previous studies have suggested a close association between the two, the mechanisms linking them remain insufficiently clarified. This study used a cross-sectional design with a sample of 600 Chinese college students, who completed online questionnaires assessing mental health, creativity, and related psychological factors. Descriptive statistics, correlation and regression analyses, and mediation tests were conducted. The findings showed that mental health significantly and positively predicted creativity, indicating that students with better mental health reported higher creativity. Further analysis revealed that cognitive pathways played a partial mediating role, underscoring the importance of cognitive flexibility in the development of creativity, while the mediating roles of emotional and motivational pathways were not significant, suggesting that their influence may be context-dependent. These results demonstrate that mental health enhances creativity both directly and indirectly through cognitive processes, providing theoretical support for cognitive-based models of creativity and offering practical implications for integrating cognitive training and mental health promotion into educational practice. Future research should adopt longitudinal designs and diverse methodological approaches to capture the dynamic interplay between mental health and creativity.

PMID:41307015 | PMC:PMC12643968 | DOI:10.3389/fpsyg.2025.1647823

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Nevin Manimala Statistics

Impaired Topological Architecture of Structural Brain Networks in Obstructive Sleep Apnea: A DTI Study

Nat Sci Sleep. 2025 Nov 20;17:3003-3014. doi: 10.2147/NSS.S542235. eCollection 2025.

ABSTRACT

OBJECTIVE: Obstructive sleep apnea (OSA) has been associated with alterations in white-matter integrity. However, few studies have examined topological alterations of white-matter structural networks in OSA. We aimed to investigate alterations in brain structural networks in patients with OSA using diffusion tensor imaging (DTI) combined with the network-based statistic (NBS).

METHODS: Clinical, neuropsychological, and DTI data were collected from 77 patients with OSA and 83 healthy controls (HCs). DTI-based structural networks were established based on whole-brain probabilistic tractography. The inter-group difference in topological properties was compared. NBS analysis was performed to assess changes in network connectivity, and the correlation between topological properties and clinical variables was evaluated.

RESULTS: Graph theory analysis showed reduced betweenness centrality (BC) in the left dorsolateral superior frontal gyrus (SFGdor.L) and supplementary motor area (SMA.L) and reduced nodal efficiency (NE) of the SFGdor.L in patients with OSA. NBS analysis revealed abnormalities in a sub-network with 14 nodes, where positive connectivity was observed between individual nodes in patients with OSA. Pearson correlation analysis indicated that the BC of SMA.L was positively correlated with anxious (r = 0.242, P = 0.034) and cognitive (r = 0.252, P = 0.027) scores. Compared with HCs, Patients with OSA exhibited lower cognitive scores and higher levels of depression and anxiety.

CONCLUSION: Our findings show alterations in BC and NE of the SFGdor.L and BC of the SMA.L that may reflect neurobiological features of white-matter network disruption in OSA and could represent potential imaging biomarkers of early cerebral involvement. These results are correlational and longitudinal studies are needed to determine temporal relationships and causal effects.

PMID:41307007 | PMC:PMC12645121 | DOI:10.2147/NSS.S542235

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Nevin Manimala Statistics

Distribution and Clinical Profile of Human Parainfluenza Viruses in Hospitalized Patients With Acute Febrile Illness

Int J Microbiol. 2025 Nov 18;2025:7072067. doi: 10.1155/ijm/7072067. eCollection 2025.

ABSTRACT

INTRODUCTION: Human parainfluenza viruses (HPIVs) are significant causes of respiratory infections, particularly in children, yet their epidemiology remains poorly understood in low- and middle-income countries. HPIVs contribute to 20%-40% of pediatric lower respiratory tract infections (LRTIs) and are a leading cause of croup and hospitalizations. This study was aimed at determining the incidence, distribution, and clinical and laboratory characteristics of HPIV in hospitalized acute febrile illness (AFI) patients.

METHODS: A total of 12,409 AFI cases from 2016 to 2018 were tested for HPIVs via molecular methods. RNA was extracted from throat swab samples and tested via multiplex real-time RT-PCR for HPIV Serotypes 1-4. The demographic, clinical, and laboratory data of HPIV-positive patients were analyzed statistically.

RESULTS: HPIVs were detected in 217 (1.75%) patients, with HPIV-3 (49.77%) being the most prevalent, followed by HPIV-4 (18.90%), HPIV-2 (17.52%), and HPIV-1 (13.83%). HPIV-3 exhibited distinct seasonal peaks, mainly affecting children (1-9 years). Significant variations in hematological and biochemical markers were observed among serotypes and age groups. Upper and lower respiratory symptoms, along with gastrointestinal issues and systemic manifestations such as chills, myalgia, and weakness, are commonly reported.

CONCLUSION: HPIVs contribute to respiratory illness across diverse demographics. HPIV-3 is the predominant serotype, with distinct seasonal and age-related patterns. Improved surveillance and diagnostics could aid in better management and reduce unnecessary antibiotic use.

PMID:41307000 | PMC:PMC12646732 | DOI:10.1155/ijm/7072067

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Nevin Manimala Statistics

Feature extraction tool using temporal landmarks in arterial blood pressure and photoplethysmography waveforms

NPJ Cardiovasc Health. 2025;2(1):57. doi: 10.1038/s44325-025-00096-0. Epub 2025 Nov 24.

ABSTRACT

This study presents an automatic feature extraction tool that first detects temporal location of landmarks within each cardiac cycle of ABP and PPG waveforms, including the systolic phase onset, systolic phase peak, dicrotic notch, and diastolic phase peak. Then, based on these landmarks, extracts 852 features per cardiac cycle, encompassing time-, statistical-, and frequency-domains. The tool’s ability to detect landmarks was evaluated on the perioperative MLORD dataset comprising 17,327 patients and on real-time data collected from a patient monitor (retrospective analysis). When compared with markings by an experienced researcher, the tool demonstrated robust performance across both datasets, waveform types, and all four landmarks, achieving average F1-scores above 97% and error rates below 4%. This tool has significant potential for supporting clinical utilization of ABP and PPG waveform features and for facilitating feature-based machine learning models for various clinical applications where features derived from these waveforms play a critical role.

PMID:41306986 | PMC:PMC12643918 | DOI:10.1038/s44325-025-00096-0

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Nevin Manimala Statistics

Peripheral blood gene expression stratifies rate of progression to type 1 diabetes in autoantibody-positive children in the TEDDY study

Front Immunol. 2025 Nov 11;16:1703839. doi: 10.3389/fimmu.2025.1703839. eCollection 2025.

ABSTRACT

INTRODUCTION: In type 1 diabetes, autoimmune destruction of pancreatic β cells results in insulin deficiency, leading to hyperglycemia. Islet autoantibodies, which precede autoimmune progression, usually develop years before diabetes onset, although some individuals develop diabetes without them. However, not all children who develop islet antibodies progress to diabetes, and they do not all progress at the same rate. Genomic markers may help identify high-risk children for early intervention.

METHODS: Using gene expression profiles derived from peripheral blood mononuclear cells collected from 62 high-risk, islet autoantibody-positive children in the TEDDY cohort study, of whom 56 progressed to diabetes, we identified differentially expressed genes, pathways, and protein-protein interactions associated with progression from islet autoantibody seropositivity to the clinical onset of diabetes.

RESULTS: After seroconversion, progressors were distinguished by a peripheral blood gene expression profile enriched for MHC class II-related functions and immune response pathways. Within protein- protein interaction (PPI) networks, we identified SMARCA4 as the central hub and found that its expression stratified progression to type 1 diabetes after seroconversion. Differentially expressed genes in the PPI networks were also highly connected to type 1 diabetes drug-gene targets, particularly JAK2.

DISCUSSION: The enrichment of MHC class II-related functions and immune response pathways after seroconversion highlights immune activation in progressors, whose rate of progression could be stratified as fast or slow based on a 20-gene signature, which warrants confirmation in an independent cohort.

PMID:41306972 | PMC:PMC12645633 | DOI:10.3389/fimmu.2025.1703839