Tag: nevin manimala

Geroscience. 2026 May 21. doi: 10.1007/s11357-026-02280-1. Online ahead of print.

ABSTRACT

Identifying physiological sweet spots (optimal ranges for homeostasis) is essential for precision medicine. However, traditional statistical methods often rely on globally linear or locally jagged models that struggle to capture the smooth, non-linear nature of biological regulation in high-dimensional data. We present the Quantile Feature Selection Network (Q‑FSNet), a neural network-based framework that integrates quantile regression, feature selection, and uncertainty estimation to identify biomarkers with sweet spots. Unlike traditional methods, Q-FSNet learns continuous response curves without requiring a pre-specified number of change points. We further introduce Quantile Dirichlet Network (Q-DirichNet), a fully Bayesian extension that utilizes Dirichlet priors to automate feature shrinkage. Using data from the Canadian Longitudinal Study on Aging, we identified 25 metabolites with distinct homeostatic ranges for which biological age acceleration is minimized. The metabolites with sweet spots for biological aging include some derived from diet or produced by the gut microbiome; this highlights their potential for knowledge translation and public health impact. Our results, corroborated by existing literature, demonstrate that these sparse neural network-based methods offer a scalable and interpretable tool for discovering metabolic signatures of healthy aging vs. dysregulation in large-scale omics research.

PMID:42168723 | DOI:10.1007/s11357-026-02280-1

Sci Rep. 2026 May 22. doi: 10.1038/s41598-026-54428-w. Online ahead of print.

ABSTRACT

To address the shortcomings of the Grey Wolf Optimizer (GWO) in solution accuracy, convergence speed, and search capability, this paper proposes a Dynamic Multi-Strategy Grey Wolf Optimizer (DMSGWO). Based on GWO, DMSGWO introduces four improvement strategies. First, a nonlinear convergence factor strategy is adopted to better balance global exploration and local exploitation. Second, a population dynamic grouping strategy is employed to dynamically adjust the population sizes of exploration and exploitation groups during the iteration process. Third, a random position update strategy is applied to the exploration group to enhance the global exploration capability. Finally, an adaptive perturbation position update strategy is applied to the exploitation group to improve the local exploitation capability. To comprehensively evaluate the performance of DMSGWO, it is compared with GWO, four other swarm intelligence optimization algorithms, and four other improved GWO algorithms on 23 benchmark test functions and the CEC2022 test suite. The comparative results demonstrate that DMSGWO exhibits excellent solution accuracy, stability, and convergence speed. Further validation through Friedman ranking tests and Wilcoxon signed-rank tests confirms that DMSGWO ranks first in overall performance. The test results show statistically significant performance differences from the other algorithms on most test functions, and further verify the superior performance of DMSGWO. To validate the practical application value of DMSGWO, it is applied to two typical engineering design optimization problems and WSN coverage optimization problem alongside the comparative algorithms. The results show that DMSGWO can effectively handle constraints and achieve the best objective values. Thus, these results demonstrates the effectiveness and practicality of DMSGWO in solving real-world complex application problems.

PMID:42168712 | DOI:10.1038/s41598-026-54428-w

AIDS Behav. 2026 May 22. doi: 10.1007/s10461-026-05177-4. Online ahead of print.

ABSTRACT

Housing instability and homelessness remain pervasive structural determinants of poor HIV outcomes in the United States. People living with HIV (PLWH) who experience homelessness face intersecting barriers, including stigma, behavioral comorbidities, and fragmented care systems, that undermine antiretroviral therapy adherence and viral suppression (VS). To quantify the impact of homelessness on viral suppression, we conducted a systematic review and meta-analysis of U.S.-based studies published from 2014 to 2024. Following PRISMA 2020 guidelines, PubMed, SCOPUS, and Web of Science were searched using controlled vocabulary and keywords related to HIV, viral suppression, and homelessness. Eligible studies included quantitative and/or qualitative analyses of PLWH reporting associations between housing instability or homelessness and VS outcomes. Study suitability was assessed using an adapted GRACE checklist, and random-effects meta-analysis was conducted in STATA v19 to pool adjusted odds ratios (aORs), with heterogeneity assessed via Q and I² statistics. Of 603 identified studies, 43 met inclusion criteria and 21 contributed to the meta-analysis (total n = 46,291). Individuals experiencing homelessness had significantly lower odds of VS compared with housed counterparts (pooled OR = 0.38, 95% CI 0.33-0.45), with moderate to high heterogeneity (I² = 74.2%) but consistent directionality across definitions of housing instability and analytic adjustments. No evidence of publication bias was detected (Egger’s p = 0.125). Thematic synthesis identified five primary pathways linking homelessness to reduced VS: disrupted ART adherence and retention; psychosocial stressors such as stigma and depression; syndemic interactions with substance use and mental illness; stress-related immune dysregulation; and broader structural inequities including poverty, criminalization, and neighborhood disadvantage. Overall, findings demonstrate a robust and persistent association between homelessness and lower odds of HIV viral suppression, underscoring housing as a fundamental social determinant of health. Integrated, low-barrier housing interventions paired with behavioral health and case management services show the greatest promise for improving viral suppression and advancing equity. Addressing housing instability of any severity is essential to achieving the goals of the Ending the HIV Epidemic initiative and sustaining Undetectable = Untransmittable (U = U) outcomes.

PMID:42168709 | DOI:10.1007/s10461-026-05177-4

Commun Med (Lond). 2026 May 21;6(1):298. doi: 10.1038/s43856-026-01612-8.

ABSTRACT

BACKGROUND: Immune checkpoint inhibitors have transformed melanoma therapy, yet only a subset of patients achieve durable responses. Gut microbes have been linked to response, but reported biomarkers vary across studies. We aim to identify reproducible microbial features and test their generalizability across cohorts and treatment settings.

METHODS: We reprocessed stool metagenomic sequencing data from 15 melanoma cohorts (763 samples from 484 individuals), including 12 cohorts treated with immune checkpoint inhibitors alone and 3 trials combining immune checkpoint inhibitors with fecal microbiota transplantation. Using a unified analysis pipeline, we profiled microbial species, metabolic pathways, and biosynthetic gene clusters, and analyzed their associations with treatment response using Tweedie regression, random-effects meta-analysis, and multimodal integration with leave-one-dataset-out validation.

RESULTS: Here, we show that responders in immune checkpoint inhibitor-only cohorts are enriched for several short-chain fatty acid-producing commensals, whereas non-responders show higher abundance of taxa associated with disrupted gut communities. In fecal microbiota transplantation plus immune checkpoint inhibitor trials, response associates with distinct communities and shifts in amino-acid, nucleotide and cofactor metabolism. Across cohorts, multiview prediction models repeatedly select gene clusters linked to antimicrobial peptides and surface polysaccharides, but cross-study discrimination remains modest.

CONCLUSIONS: Microbiome signatures of response are treatment-context dependent and are not captured by a single universal species. These harmonized findings prioritize microbial taxa and functions for mechanistic studies and future microbiome-informed interventions.

PMID:42168704 | DOI:10.1038/s43856-026-01612-8

Obes Surg. 2026 May 21. doi: 10.1007/s11695-026-08717-y. Online ahead of print.

ABSTRACT

INTRODUCTION: Single-anastomosis duodenoileal bypass with sleeve gastrectomy (SADI-S) was developed as a simplified alternative to biliopancreatic diversion with duodenal switch but remains technically demanding. Ligation of the right gastric artery (RGA) may facilitate duodenal mobilization and reduce anastomotic tension; however, concerns persist regarding anastomotic perfusion and vagal fiber disruption. This study aimed to assess the safety and physiological effects of RGA ligation, including its potential impact on vagal function, using pancreatic polypeptide (PP) as an indirect marker, as well as gastric and gallbladder emptying.

METHODS: In this prospective double-blind randomized exploratory trial conducted at a single public bariatric center, patients undergoing SADI-S were randomized to RGA ligation (n = 10) or no ligation (n = 9). Participants underwent clinical evaluation, liquid mixed-meal tolerance tests to assess glucose and PP dynamics, gastric emptying scintigraphy, and hepatobiliary scintigraphy before and 12 months after surgery.

RESULTS: Clinical outcomes were comparable between groups, with no differences in postoperative morbidity or mortality. After surgery, both groups exhibited similar rates of symptoms consistent with dumping syndrome during the mixed meal test, along with reduced PP secretion. No correlation was observed between dumping symptoms and PP levels. Gastric emptying and hepatobiliary scintigraphy revealed no significant differences between groups before or after surgery. No symptoms suggestive of biliary reflux were reported.

CONCLUSION: In this prospective randomized study, no significant differences were observed between groups across the evaluated outcomes. RGA ligation was not associated with adverse clinical or physiological effects compared to no ligation within the limitations of this cohort. However, the small sample size limits statistical power and the ability to exclude clinically meaningful differences; therefore, these findings should be considered exploratory and require confirmation in larger studies.

PMID:42168687 | DOI:10.1007/s11695-026-08717-y

Sci Rep. 2026 May 21. doi: 10.1038/s41598-026-53315-8. Online ahead of print.

ABSTRACT

Hybrid electric vehicle (HEV) powertrain systems exhibit complex dynamic and nonlinear characteristics due to the coupling effects among mechanical, electrical, and thermal subsystems. Traditional multivariate statistical process monitoring (MSPM) methods based on the time lag shift method (TLSM) may suffer from redundant information problems where historical data not used for prediction can contaminate the extracted features and reduce fault detection sensitivity. To address this limitation, this paper proposes a kernel dynamic orthonormal subspace analysis (KDOSA) method for monitoring HEV powertrain faults. The proposed method extends the OSA framework to the kernel feature space using Gaussian kernel functions, aiming to capture nonlinear dependencies while maintaining orthogonal separation between dynamic and static components. By decomposing real-time data into dynamic and static subspaces in the reproducing kernel Hilbert space, KDOSA is designed to mitigate the redundant information problem inherent in TLSM-based kernel methods such as dynamic kernel PCA. A comprehensive monitoring framework is developed with [Formula: see text] indices for both dynamic and static subspaces, providing fault detection capability and diagnostic information about fault origins. The effectiveness of the proposed method is examined through numerical simulations and real-world HEV powertrain experiments. Experimental results demonstrate that KDOSA achieves favorable fault detection performance with performance index (PI) values exceeding 95% across all test scenarios without triggering false alarms in the tested cases, showing improved performance compared with existing OSA-based nonlinear dynamic methods.

PMID:42168681 | DOI:10.1038/s41598-026-53315-8

Discov Oncol. 2026 May 21. doi: 10.1007/s12672-026-05247-y. Online ahead of print.

ABSTRACT

PURPOSE: Malnutrition is common among hospitalized cancer patients and has been linked to adverse clinical outcomes. Accurate nutritional risk screening is essential for rapid nutritional intervention. Although the NRS-2002 tool is widely used in clinical practice, its interrater reliability in oncologic settings has not been adequately examined. This study aimed to evaluate the interrater reliability of nutritional risk screening among hospitalized patients with cancer using the Nutritional Risk Screening 2002 (NRS-2002) tool.

DESIGN: Retrospective cross-sectional study.

METHODS: Thirty-five trained clinical nurses and one registered dietitian independently performed NRS-2002 assessments within 24 h of admission among 434 hospitalized cancer patients. Cohen’s kappa statistics were used to evaluate interrater reliability for each NRS-2002 component, including nutritional status, disease severity, and risk classification derived from the total score.

RESULTS: Nurses identified fewer patients at nutritional risk than the dietitian (73 vs. 211). In addition, the overall agreement between the registered dietitian and clinical nurses using the NRS-2002 was fair (kappa = 0.343, 95% CI: 0.275 to 0.411). Interrater reliability was fair for nutritional status (kappa = 0.241) but poor for disease severity (kappa = 0.198), whereas perfect agreement was observed for the age component (kappa = 1.000). Among cancer types, patients with breast cancer (n = 11) showed complete agreement (kappa = 1.000), though this finding should be interpreted cautiously because of the small sample size, followed by those with gastrointestinal tumors (kappa = 0.489, 95% CI: 0.289 to 0.689) and esophageal cancer (kappa = 0.408, 95% CI: 0.212 to 0.604). Nurses with junior professional titles (kappa = 0.347) showed slightly higher consistency with the dietitian than those with intermediate titles (kappa = 0.339).

CONCLUSION: Overall, this study demonstrated fair interrater reliability of the NRS-2002 for assessing nutritional risk among hospitalized patients with cancer. To improve the reliability of nutritional risk screening, we recommend standardizing the operational definitions of disease severity scores, implementing structured and periodic training programs for clinical nurses, and establishing regular audit and supervision mechanisms. These measures are essential for improving screening consistency and, in turn, patient assessment and subsequent care.

PMID:42168672 | DOI:10.1007/s12672-026-05247-y

J Epidemiol Glob Health. 2026 May 21. doi: 10.1007/s44197-026-00581-4. Online ahead of print.

ABSTRACT

BACKGROUND: Disabled people experienced disproportionately poor outcomes during the COVID-19 pandemic, but evidence remains uneven across disability status and across stages of the disease pathway. Few population-wide studies have simultaneously examined infection, hospitalisation, and mortality while distinguishing intellectual disability from physical disability. The aim of this study was to quantify associations between disability status and COVID-19 outcomes in a national Scottish cohort.

METHODS: This population-wide retrospective cohort study included 3,719,651 adults aged ≥ 16 years alive and resident in Scotland on 1 March 2020. Disability status was derived from the 2011 Scottish Census and categorised as intellectual disability (n = 17,354), physical disability (n = 377,706), or no recorded intellectual or physical disability (comparison group; n = 3,324,591). Participants were followed from 1 March 2020 until 30 April 2022 for first laboratory-confirmed SARS-CoV-2 infection, first COVID-19 hospitalisation, and COVID-19-related mortality. Associations were estimated using Cox proportional hazards models with sequential adjustment for demographic factors, socioeconomic factors, health-related factors, and COVID-19 vaccination status.

RESULTS: During follow-up, 306,343 participants had a first recorded SARS-CoV-2 infection, 22,945 experienced a first COVID-19 hospitalisation, and 12,893 died from COVID-19-related causes. Crude incidence rates for first recorded SARS-CoV-2 infection were highest among adults with intellectual disability, whereas crude incidence rates for COVID-19 hospitalisation and mortality were highest among adults with physical disability. In fully adjusted models, compared with adults with no recorded intellectual or physical disability, intellectual disability was associated with higher hazards of infection (HR 2.65, 95% CI 2.57-2.73), hospitalisation (HR 1.60, 95% CI 1.40-1.83), and mortality (HR 1.58, 95% CI 1.30-1.91). Physical disability was also associated with higher hazards of infection (HR 1.60, 95% CI 1.58-1.62), hospitalisation (HR 1.16, 95% CI 1.12-1.19), and mortality (HR 1.23, 95% CI 1.19-1.28). Across all three outcomes, hazards were higher for intellectual than physical disability.

CONCLUSIONS: Both intellectual and physical disability were independently associated with increased risk across the COVID-19 disease pathway, with stronger associations observed for intellectual disability. These findings support disability-inclusive pandemic preparedness and prevention strategies that recognise heterogeneity of risk within the disabled population and promote equitable access to timely care.

PMID:42168669 | DOI:10.1007/s44197-026-00581-4

Clin Oral Investig. 2026 May 22;30(6):242. doi: 10.1007/s00784-026-06916-6.

ABSTRACT

OBJECTIVE: This study aimed to evaluate the impact of sagittal and vertical skeletal patterns as well as gender on temporomandibular joint (TMJ) morphology using Cone Beam Computed Tomography (CBCT).

METHODS: A cross-sectional analysis was conducted on CBCT scans of 126 adult patients (63 females, 63 males) aged 20 to 40 years, stratified into Class I, II and III sagittal classifications and further divided by vertical patterns: horizontal, normal and vertical. Measurements included condylar dimensions (length, height, and width) and glenoid fossa dimensions (depth and width). Left and right TMJs were assessed and average values were used due to the absence of significant side differences. A multiple linear regression model was used to examine the effects of sagittal and vertical patterns and Gender on the parameter. Gender was included as a covariate in all models. Both an interaction model (vertical × sagittal pattern) and a main-effects-only model were considered with interaction effects accounted for where present. Model selection was based on statistical significance and model fit criteria. Pairwise comparisons were conducted using Tukey’s Honest Significant Difference (HSD) test and estimated marginal means (EMMs) were calculated where applicable. Statistical significance was set at p < 0.05 with adjustments for multiple comparisons.

RESULTS: For Condyle Height, a significant difference was found between Class III and Class I within the vertical pattern (VP) subgroup (p = 0.011). In contrast, Gender significantly influenced Condyle Length (p = 0.009) and a significant difference was found between Class II and Class I (p = 0.01). Subgroup analysis revealed a significant difference between Class II and Class I in the VP group (p = 0.023). For Condyle Width, a significant interaction between VP and Class III was found (p = 0.029). Significant pairwise differences were observed between HP-Class II and VP-Class III (p = 0.023), NP-Class II and VP-Class III (p = 0.007), and HP-Class III and VP-Class III (p = 0.013). Within the NP subgroup, Class II differed significantly from Class I (p = 0.044). Analysis of Glenoid Fossa Width revealed a significant interaction between NP and Class III (p = 0.048). Multiple significant pairwise differences were identified, including NP-Class I versus HP-Class II (p = 0.002), NP-Class I versus NP-Class II (p = 0.004), and VP-Class II versus HP-Class III (p = 0.004). Regarding glenoid fossa depth, a significant interaction between VP and Class III was found (p = 0.037), but no pairwise subgroup differences reached statistical significance (all p > 0.05).

CONCLUSIONS: This study demonstrates that TMJ morphology is variably influenced by vertical and sagittal skeletal patterns and gender. Significant differences in condyle length and width as well as glenoid fossa width were primarily observed in individuals with vertical patterns and Class II or III skeletal relationships. Gender significantly affected condyle length. While glenoid fossa depth showed a high interaction between vertical pattern and sagittal skeletal relationships, no individual comparisons reached statistical significance. These findings underscore the nuanced interplay of sagittal and vertical skeletal patterns in shaping TMJ morphology.

PMID:42168666 | DOI:10.1007/s00784-026-06916-6

Neurol Sci. 2026 May 22;47(6):511. doi: 10.1007/s10072-026-09105-1.

ABSTRACT

BACKGROUND: Total cerebral small-vessel disease (cSVD) score is a well-established predictor of vascular risks. However, the specific type of recurrent stroke associated with cSVD scores remains unclear in hemorrhage-prone patients-those with cerebral microbleeds (CMBs) or prior intracerebral hemorrhage (ICH).

METHODS: This study was a post hoc analysis of 1,454 patients enrolled in a prospective, multicenter, randomized controlled trial. Patients were categorized by modified cSVD (m-cSVD) scores 1-3. One point was awarded for each of the following: white matter hyperintensities (WMH) above the median, ≥2 CMBs or 1 ICH, and ≥1 lacune. The primary outcome was any stroke; secondary outcomes were ischemic and hemorrhagic stroke; the tertiary outcome was major adverse cardiovascular events (MACE). Multivariable Cox regression analysis was used to investigate associations between m-cSVD scores and events.

RESULTS: During a mean 1.9-year follow-up, the incidence rate per 100 person-years for ischemic stroke increased significantly with m-cSVD scores (1.9, 2.8, and 5.7, respectively). Compared to score 1, m-cSVD score 3 was associated with a higher risk of ischemic stroke (adjusted HR 2.72; 95% CI 1.03-7.18) and MACE (adjusted HR 2.34; 95% CI 1.08-5.10). While the incidence of hemorrhagic stroke showed a numerical increase (0.5, 0.8, and 1.5), this association did not reach statistical significance (unadjusted HR 3.05; 95% CI 0.66-14.14).

CONCLUSION: A high m-cSVD burden was independently associated with recurrent ischemic stroke, but not hemorrhagic stroke, in patients with high bleeding risk. High cSVD burden may reflects elevated ischemic risk, warranting careful consideration of ischemic stroke prevention even in patients with hemorrhagic potential.

PMID:42168664 | DOI:10.1007/s10072-026-09105-1