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Nevin Manimala Statistics

Clinical significance of circulatory microRNA-183_5p and 3651 in serum as novel potential diagnostic marker for gallbladder cancer

Indian J Gastroenterol. 2026 Apr 8. doi: 10.1007/s12664-026-01967-9. Online ahead of print.

ABSTRACT

BACKGROUND: Gallbladder cancer (GBC) is the most common biliary tract malignancy and a leading cause for mortality in the Asian sub-continent. The low survival rate is attributed to current invasive diagnostic methods and late-stage disease detection. The aim of this study was to estimate the potential value of miR 183_5p and 3651 as diagnostic blood-based biomarkers in GBC patients.

METHODS: This single center observational study evaluates differential expression of miRNAs in GBC and normal gallbladder tissues via micro-array analysis. The level of selected oncogenic miRNAS were detected in 130 individuals comprising GBC patients, Gallbladder stone (GBS) and healthy controls by using qRT-PCR. The diagnostic value of miR-183-5p and 3651 in GBC was evaluated and compared with the tumor markers carcinoembryonic antigen (CEA) and carbohydrate antigen 19.9 (CA 19.9).

RESULTS: As many as 45 differentially expressed microRNAs (p < 0.05) were determined, of which 23 were upregulated and 22 were down regulated. miR 183_5p (2.5-fold) and 3651 (5.6-fold) were significantly over expressed in GBC patients compared to controls (p < 0.05). The area under the curve (AUC) value of miR 183_5p and 3651 for GBC diagnosis was 0.684 and 0.752, respectively, which was more valuable than those including CEA (0.617) and CA19.9 (0.718).

CONCLUSION: Study underscores ability of serum miRNAs 183_5p and 3651 as diagnostic biomarkers for early GBC detection.

PMID:41949739 | DOI:10.1007/s12664-026-01967-9

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Nevin Manimala Statistics

Long-term trends and meteorological drivers of urban air pollutants in Padang, Indonesia (2019-2023): insights from continuous air quality monitoring

Environ Monit Assess. 2026 Apr 8;198(5):417. doi: 10.1007/s10661-026-15276-3.

ABSTRACT

Urban air pollution remains a critical environmental challenge in rapidly growing Southeast Asian tropical coastal cities. This 5-year air quality monitoring analysis investigates long-term trend patterns and meteorological influences on major air pollutants (PM10, PM2.5, SO2, CO, NO2, and O3) in Padang, Indonesia, using continuous observations from 2019 to 2023. Long-term trend analysis based on the Mann-Kendall test indicates significant increasing trends in combustion-related pollutants, particularly CO (+311.5 µg m⁻3 yr⁻1, p < 0.001) and NO2 (+2.34 µg m⁻3 yr⁻1, p < 0.05), whereas O3 exhibits a significant long-term monotonic decreasing trend (-8.67 µg m⁻3 yr⁻1, p < 0.01), despite seasonal and episodic increases observed during dry and post-pandemic periods. CO and NO2 showed positive associations with high solar radiation and pressure and negative associations with precipitation, indicating pollutant accumulation under hot and dry conditions. Conversely, particulate matter demonstrated weak long-term trends but clear wet-scavenging influences. Seasonal monsoon variability and atmospheric stagnation appear to play important roles in shaping pollutant variability. These findings highlight the importance of integrating meteorological influence into air quality management strategies in tropical coastal cities.

PMID:41949715 | DOI:10.1007/s10661-026-15276-3

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Nevin Manimala Statistics

Fear-avoidance beliefs, anxiety, and depression in ankylosing spondylitis: the mediating role of pain and moderating role of exercise

Clin Rheumatol. 2026 Apr 8. doi: 10.1007/s10067-026-08098-8. Online ahead of print.

ABSTRACT

OBJECTIVE: To investigate the impact of fear-avoidance beliefs, anxiety, and depression on disease activity in patients with ankylosing spondylitis (AS), focusing on pain as a mediator and exercise as a moderator.

METHODS: This cross-sectional study included 77 AS patients. We assessed disease activity using the Bath Ankylosing Spondylitis Disease Activity Index (BASDAI), pain via Visual Analog Scale (VAS), anxiety and depression with the Hospital Anxiety and Depression Scale (HADS), and fear-avoidance beliefs. We controlled for key covariates including age, gender, disease duration, functional status (HAQ), and medication use (biologic agents, antidepressants). Advanced statistical analyses included bootstrapped mediation (5,000 samples), moderated mediation, tenfold cross-validation, and robustness checks.

RESULTS: Abnormal anxiety (HADS-A ≥ 8) was present in 27.3% and abnormal depression (HADS-D ≥ 8) in 13.0% of patients. Pain was found to be a significant mediator in the pathway between fear-avoidance and BASDAI. The unstandardized indirect effect was 0.265 (95% CI [0.129, 0.446]), accounting for 49.1% of the total effect. This indirect pathway was significantly moderated by exercise, with the effect being stronger in low exercisers compared to high exercisers. A prediction model for high disease activity demonstrated strong discriminative ability (AUC = 0.863) with minimal overfitting confirmed by cross-validation (cross-validated AUC = 0.816).

CONCLUSION: Psychosocial factors are significant predictors of disease activity in AS. Our findings suggest that pain mediates the association between fear-avoidance beliefs and disease activity, a pathway that appears to be attenuated by regular exercise. These findings support a biopsychosocial approach in AS management. Future longitudinal studies are needed to confirm causal pathways. Key Messages • Fear-avoidance beliefs, assessed via a brief screening measure, are associated with disease activity in ankylosing spondylitis. • Pain partially mediates the relationship between fear-avoidance and disease activity, a pathway that is weakened by regular exercise. • Psychosocial screening and targeted interventions should be integrated into standard AS management.

PMID:41949713 | DOI:10.1007/s10067-026-08098-8

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Nevin Manimala Statistics

Comparison of a 3D-printed skin model with established methods for teaching punch biopsy with suturing

J Dtsch Dermatol Ges. 2026 Apr 8. doi: 10.1111/ddg.70067. Online ahead of print.

ABSTRACT

BACKGROUND: Realistic and accessible models are essential for training physicians in clinical procedures. This study investigated whether a cost-effective 3D-printed skin model is superior to fruit and foam models for teaching skin biopsies.

PATIENTS AND METHODS: The study (10/2023-02/2025) involved 148 medical students who compared the 3D skin model, made of soft silicone, shore hardness 10-A, with fruit and foam for punch biopsy training. Previous cohorts used only fruit and foam. 28 physicians assessed realism of the 3D model versus real skin. Practical skills were evaluated in Objective Structured Clinical Examinations (OSCEs), and feedback from students and physicians was collected via standardized questionnaires. Economic and ecological impacts were analyzed.

RESULTS: Students rated the 3D skin model significantly higher for realism and training suitability than fruit and foam (p < 0.001). OSCE scores indicated comparable skill acquisition (p = 0.2005). Physicians found the 3D model more anatomically and haptically realistic than foam and fruit (each p < 0.001).

CONCLUSIONS: The 3D-printed skin model is a superior, cost-effective training tool that overcomes limitations of traditional models, improves confidence, and enhances skill acquisition. Although production is resource-intensive, its reusability and low-cost materials make it sustainable. Anatomical realism fosters interest in dermatology, making it a promising innovation in medical education.

PMID:41948892 | DOI:10.1111/ddg.70067

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Nevin Manimala Statistics

Recalled Adverse Childhood Experiences Predict Behavioral Traits Associated With an Accelerated Life History in Cebu, Philippines

Am J Hum Biol. 2026 Apr;38(4):e70255. doi: 10.1002/ajhb.70255.

ABSTRACT

OBJECTIVES: Adverse childhood experiences (ACEs) have long been associated with poor health in adulthood, with many researchers interpreting these findings as evidence of a “fast” life history. In this study we utilize data from the Cebu Longitudinal Health and Nutrition Survey (CLHNS) to test the expectations of this framework among inhabitants of the Cebu metropolitan area in the Philippines.

METHODS: Data on development, behavior, and reproduction were collected from study participants (N = 1288, 54% male) over the course of multiple survey rounds, beginning before their birth in 1983-84. In 2018, participants completed a retrospective ACEs questionnaire. We built discrete hazard models and generalized linear models to test whether recalled ACEs predict characteristics of a “faster” life history in CLHNS.

RESULTS: There was no significant relationship between ACEs and maturational timing, but individuals who recalled more ACEs engaged in health-risk behaviors earlier and exhibited younger ages at sexual debut. Among women specifically, ACEs also predicted a younger age at first reproduction and higher gravidity. After splitting ACEs into two dimensions, the same results were observed in response to deprivation but not threat.

CONCLUSIONS: As in other low resource settings, physical maturation in Cebu was accelerated in households with greater access to resources but not in response to early psychosocial stressors as indicated by recalled ACEs. However, individuals who experienced ACEs did exhibit behavioral profiles consistent with faster life history scheduling and greater investment in reproduction.

PMID:41948874 | DOI:10.1002/ajhb.70255

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Nevin Manimala Statistics

Identification and quantification of irreversibility in stochastic systems

Phys Chem Chem Phys. 2026 Apr 8. doi: 10.1039/d5cp04712a. Online ahead of print.

ABSTRACT

Advances in single-molecule measurements, active-matter control, and nonequilibrium statistical mechanics are transforming our understanding of thermodynamics in small, strongly fluctuating systems. Biological molecular motors, driven chemical-reaction networks (e.g., gene regulation), artificial active matter, autonomous engines, and synthetic nanomachines all operate via inherently irreversible, dissipative processes in noisy environments, while producing entropy. Quantifying this entropy production (EP) has therefore become central to understanding both the physical limits and design principles of nanoscale systems. This review surveys principled routes to characterize and quantify EP from time-series and trajectory data. Because experimental observables are often coarse-grained and only partially resolve the underlying dynamics, we discuss how dissipation can be inferred from incomplete information, and how coarse-graining systematically biases EP estimates. This overview maps the current toolkit for estimating EP and outlines open challenges in unifying inference approaches to obtain reliable and tight bounds on EP in living and engineered nanoscale systems.

PMID:41948859 | DOI:10.1039/d5cp04712a

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Nevin Manimala Statistics

Data-Driven Cation Engineering Guides Electrolyte Design for Sustainable Aqueous Zinc Battery Chemistries

Adv Mater. 2026 Apr 8:e22059. doi: 10.1002/adma.202522059. Online ahead of print.

ABSTRACT

Vanadium oxides have emerged as attractive cathode materials for zinc-based batteries owing to their high theoretical capacity and versatile redox chemistry. Nevertheless, their persistent dissolution in aqueous electrolytes remains a long-standing challenge, hindering real-world implementation. Here, we develop a cation-engineered electrolyte strategy enabled by a data-driven framework that integrates density functional theory (DFT) calculations, discrete wavelet transform (DWT)-based multi-scale analysis, and differential feature extraction, to efficiently screen potential hetero-cations and their combinations with objective statistic quantification, while minimizing trial-and-error experimentation and selection bias. As a proof of concept, the Zn/VOx batteries with the predicted Na+-Mg2+-Zn2+ tri-cation electrolyte (NMZ) achieved exceptional reversibility and record-long cycling stability, sustaining 500 cycles at 0.2 A g-1 (1400 h) and 10,000 cycles at 5 A g-1. The tri-cation electrolyte successfully triggers a potential-driven sequential ion insertion pathway involving Na+, Mg2+, and Zn2+, thereby fundamentally suppressing proton intercalation above 1.3 V and hydrated Zn2+ insertion near 1.0 V (vs Zn2+/Zn). This work not only provides valuable data-driven insights into ion-engineering electrochemistry for regulating insertion stability but also uncovers critical ion-related factors that are frequently overlooked. This approach establishes a reusable and statistically robust framework for guiding research across diverse battery chemistries.

PMID:41948846 | DOI:10.1002/adma.202522059

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Nevin Manimala Statistics

Induction of cytochrome P450 2C9 and P-glycoprotein activity by antiseizure medications: A systematic review and network meta-analysis

Epileptic Disord. 2026 Apr 8. doi: 10.1002/epd2.70232. Online ahead of print.

ABSTRACT

OBJECTIVES: Antiseizure medications (ASMs) can induce the activity of drug-metabolizing enzymes and drug transporters, including cytochrome P450 (CYP)2C9 and P-glycoprotein (P-gp). Our objective was to comparatively assess the effects of ASMs on exposure to clinical CYP2C9 and P-gp substrates.

METHODS: This systematic review and network meta-analysis (NMA) was registered in PROSPERO (CRD42023473609) and performed following PRISMA 2020 guidelines. MEDLINE, EMBASE, and Cochrane Library were searched until October 22, 2025, with additional searches conducted in the FDA and EMA databases and ClinicalTrial.gov. Studies were included if they were prospective and the ASM was used as monotherapy for ≥5 days. The primary endpoint was the substrate area under the curve ratio (AUCR) with/without the ASM. Treatments were ranked by P-scores (range 0-1, higher values reflect stronger induction). The point estimate for indirect pairwise comparisons was the standardized mean difference (SMD). Bias risk was assessed using the PKclin tool.

RESULTS: Twelve and six interventional pharmacokinetic studies with 227 and 97 participants were included in the CYP2C9 and P-gp NMAs, respectively. The ASM with the greatest CYP2C9 induction potential was carbamazepine (600 mg/day, P-score .78). The only statistically significant effect size estimate for CYP2C9 was obtained in the comparison between carbamazepine 600 mg/day and cenobamate 200 mg/day (SMD -.42; CI -.76, -.09). Carbamazepine (300 or 600 mg/day) was also the strongest P-gp inducer (P-scores, .79 and .55, respectively). The effects of its two doses did not differ, and 300 mg/day had a stronger effect on P-gp compared with the other ASMs.

SIGNIFICANCE: Despite variability in populations, substrate drugs, and doses, our findings demonstrate that carbamazepine is an inducer at 300 mg/day, and that ASMs can rank differently as CYP2C9 versus P-gp inducers. Therefore, the safety of ASM polytherapy cannot be extrapolated from one pathway to another for treatment selection, for example, for post-stroke epilepsy.

PMID:41948839 | DOI:10.1002/epd2.70232

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Nevin Manimala Statistics

Telepathology expert consultation platform-implementation and lessons from a tertiary hospital in Tanzania

Am J Clin Pathol. 2026 Apr 3;165(4):aqag024. doi: 10.1093/ajcp/aqag024.

ABSTRACT

OBJECTIVES: Cancer is a leading cause of mortality worldwide, yet access to specialized pathology services remains limited in many low- and middle-income countries, including Tanzania. Telepathology offers a practical means to expand diagnostic capacity and improve timely cancer care. Through a partnership with the American Society for Clinical Pathology (ASCP) and Duke University, Kilimanjaro Christian Medical Centre (KCMC) implemented a telepathology consultation platform to provide expert review for diagnostically challenging cases.

METHODS: This cross-sectional observational study analyzed challenging pathology cases submitted for teleconsultation between September 2018 and March 2025. Whole-slide images were reviewed by pathologists from Duke University, Radboud University Medical Centre, Princess Máxima Center, ASCP-Tanzania, and the Medical College of Wisconsin. Diagnostic concordance between local and expert interpretations was measured. Turnaround time (TAT) and subspecialty variation were analyzed using descriptive statistics and χ2 testing.

RESULTS: A total of 1266 cases were reviewed, representing 16 different subspecialties. Hematopathology (28.4%), head and neck pathology (17.1%), and soft tissue pathology (9.9%) were the most frequently consulted. The overall concordance rate was 44.79% (567/1266), with a partial concordance rate of 19.75% (250/1266) and a discordance rate of 32.78% (415/1266). Concordance varied significantly across subspecialties (χ2(15) = 31.90, P = .0066). The mean TAT was 18.3 days, with a downward trend from 2018 to 2025.

CONCLUSIONS: Implementation of telepathology at KCMC is feasible and provides a sustainable model for expanding access to expert pathology consultation in resource-limited settings. Despite modest concordance rates, telepathology enhanced diagnostic accuracy, education, and quality assurance, while TATs improved over the study period. Continued investment is needed in digital infrastructure.

PMID:41948834 | DOI:10.1093/ajcp/aqag024

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Nevin Manimala Statistics

Estimating Rupture Risk of Intracranial Aneurysms: What We Know, What We Do Not Know, and What We Need

Stroke. 2026 Apr 8. doi: 10.1161/STROKEAHA.125.054863. Online ahead of print.

ABSTRACT

Management of unruptured intracranial aneurysms requires balancing the risk of aneurysm rupture against the risk of procedural complications. Estimates of rupture risk stem from a few landmark natural history studies whose findings differ substantially, creating uncertainty for clinical decision-making. This review appraises these studies, highlighting areas of agreement and contradiction to inform future directions. Across studies, short-term rupture risk is low and increases with aneurysm size. The magnitude of risk varies (0.20%-1.85% at 1 year). These discrepancies likely arise from methodological challenges inherent to natural history research, including selection, crossover, incomplete follow-up, and regional variation. The effects of these factors are difficult to disentangle due to confounding. Rupture risk is highest in Finnish studies, followed by Japanese, then other international cohorts. This geographic pattern is reversed for the treatment rate. Rupture risk also shows a strong inverse relationship with treatment rate (P=0.008, R2=0.79). This makes it impossible to know whether rupture risk reflects treatment or geography, and which estimates apply clinically. Studies have short follow-up (mean 2.8 years) and require substantial extrapolation to estimate lifetime risk (mean age at diagnosis 42-66 years). Small differences in short-term estimates produce large variations in long-term projections. Moreover, the underlying assumption that risk remains constant with time has not been formally evaluated. Half of the data sets are consistent with this, but half suggest it declines with time. The effects of key aneurysm rupture predictors vary between studies. This includes age, sex, hypertension, smoking, prior subarachnoid hemorrhage, family history of intracranial aneurysms, and aneurysm location, multiplicity, and size thresholds. It is unclear whether this reflects regional variation, overfitting, or other factors. Meta-analyses are most representative, but remain constrained by limitations of contributing data sets. Larger multicenter studies with longer follow-up, fewer losses, and deeper phenotyping are still needed, despite their practical challenges.

PMID:41948814 | DOI:10.1161/STROKEAHA.125.054863