Experimental gerontology最新文献

{"title":"Corrigendum to \"Metabolic flexibility following resistance exercise and a high protein diet in older men: results from a 12-week randomized controlled trial\" [Exp. Gerontol. 217 (2026) 113101].","authors":"Corbin Griffen, Derek Renshaw, Michael Duncan, Alexander Dallaway, Harpal Randeva, Martin O Weickert, John Hattersley","doi":"10.1016/j.exger.2026.113140","DOIUrl":"https://doi.org/10.1016/j.exger.2026.113140","url":null,"abstract":"","PeriodicalId":94003,"journal":{"name":"Experimental gerontology","volume":" ","pages":"113140"},"PeriodicalIF":4.3,"publicationDate":"2026-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147792998","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Dynapenic-metabolic obesity and incident stroke in middle-aged and older adults: The mediating role of intrinsic capacity and systemic inflammation.","authors":"Yang Dong, Bo Yang","doi":"10.1016/j.exger.2026.113143","DOIUrl":"https://doi.org/10.1016/j.exger.2026.113143","url":null,"abstract":"<p><strong>Background: </strong>Conventional obesity definitions overlook heterogeneity related to metabolic health and muscle strength. This study examined the associations between dynapenic-metabolic obesity (DMO) and incident stroke among middle-aged and older Chinese adults.</p><p><strong>Methods: </strong>Our study included 11,770 participants aged ≥45 years from the China Health and Retirement Longitudinal Study (CHARLS, 2011-2018) with 2011 as baseline. Dynapenia was defined by handgrip strength (<28 kg for men, <18 kg for women); metabolic dysfunction by ≥2 of 4 criteria (hypertension, dyslipidemia, impaired glycemia, or low HDL-C); and obesity by BMI ≥25 kg/m² (general obesity) or waist circumference ≥ 90 cm for men and ≥ 85 cm for women (abdominal obesity). Cox models estimated hazard ratios (HRs) for stroke, adjusting for covariates. Mediation analysis evaluated the roles of C-reactive protein (CRP) and intrinsic capacity (IC).</p><p><strong>Results: </strong>During follow-up, 787 participants (6.7%) experienced stroke. Obesity alone, without dynapenia or metabolic dysfunction, was associated with elevated stroke risk (general obesity: HR 1.50, 95% CI 1.15-1.95; abdominal obesity: HR 1.55, 95% CI 1.21-1.98). The highest risk was observed in participants with combined dynapenia and metabolic dysfunction (DMGO: HR 2.97, 95% CI 2.01-4.37; DMAO: HR 2.96, 95% CI 2.08-4.21). Mediation analyses indicated that systemic inflammation and reduced intrinsic capacity partially explained these associations. Findings were consistent across subgroups and sensitivity analyses.</p><p><strong>Conclusions: </strong>Dynapenic-metabolic obesity is strongly associated with incident stroke, but even obesity alone increases risk. Systemic inflammation and impaired intrinsic capacity partially mediate these effects, highlighting the importance of integrated strategies targeting adiposity, metabolic health, and muscle function to prevent stroke in aging populations.</p>","PeriodicalId":94003,"journal":{"name":"Experimental gerontology","volume":" ","pages":"113143"},"PeriodicalIF":4.3,"publicationDate":"2026-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147792975","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Disulfidptosis in osteoarthritis: Role of SLC2A3 downregulation and potential therapeutic implications","authors":"Ruoyang Feng ,&nbsp;Xiadiye Tuerhong ,&nbsp;Yongsong Cai ,&nbsp;Yirixiati Aihaiti","doi":"10.1016/j.exger.2026.113058","DOIUrl":"10.1016/j.exger.2026.113058","url":null,"abstract":"<div><h3>Objective</h3><div>Disulfidptosis is a newly recognized form of regulated cell death characterized by actin cytoskeleton collapse under disulfide stress. Recent studies suggest it may significantly contribute to osteoarthritis (OA), though its exact role in OA development remains unclear. This study aims to analyze the expression of disulfidptosis-related genes in OA, identifying potential biomarkers and candidate therapeutic leads.</div></div><div><h3>Methods</h3><div>Transcriptomic data from six datasets related to OA and single-cell RNA sequencing data were sourced from the GEO database. To identify differentially expressed genes (DEGs) associated with disulfidptosis, we employed robust rank aggregation. We then utilized functional enrichment analysis, constructed a protein-protein interaction network, and applied machine learning models to prioritize key genes of interest. A single-cell analysis was conducted to evaluate gene expression within specific subsets of chondrocytes. Additionally, we predicted drug-target binding affinity using the GraphDTA model and performed molecular docking studies to assess drug-to-target binding affinity. Finally, immunohistochemistry, RT-qPCR, and Western blotting were performed for experimental validation.</div></div><div><h3>Results</h3><div>We identified several DEGs related to disulfidptosis, including SLC2A3, PDLIM1, and SLC3A2, which were found to be downregulated in OA tissues, particularly in pre-fibrocartilage chondrocyte subtypes. Our functional analysis indicated that these genes were enriched in pathways associated with cytoskeleton organization and the oxidative stress response. Furthermore, machine learning models demonstrated that these genes have significant diagnostic potential across various datasets. Using GraphDTA for drug prediction and molecular docking, we discovered that talaroflavone exhibits a strong binding affinity to SLC2A3, with highest predicted affinity (13.98) and a binding energy of −8.8 kcal/mol. Experimental validation confirmed the downregulation of SLC2A3 in OA-affected cartilage. Functional assays indicated that modulating SLC2A3 could alleviate cartilage matrix degradation and oxidative stress, suggesting a potential functional association between SLC2A3 and OA progression.</div></div><div><h3>Conclusion</h3><div>This study providing functional evidence for a potential association between disulfidptosis-related genes and OA, while highlighting SLC2A3 as a potential functional regulator for further investigation. Additionally, was identified talaroflavone as a computationally predicted lead compound that warrants future experimental validation. These findings not only enhance our understanding of the molecular pathways underlying OA but also lay the groundwork for potential development of targeted therapeutic strategies.</div></div>","PeriodicalId":94003,"journal":{"name":"Experimental gerontology","volume":"215 ","pages":"Article 113058"},"PeriodicalIF":4.3,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146109270","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Integrated metabolomics and machine learning identify potential biomarkers and metabolism-related targets for MASLD in older adults","authors":"Ze Jin ,&nbsp;Mengpei Zhu ,&nbsp;Ziwen Wang ,&nbsp;Lina Xiong ,&nbsp;Zhifan Xiong","doi":"10.1016/j.exger.2026.113067","DOIUrl":"10.1016/j.exger.2026.113067","url":null,"abstract":"<div><h3>Background</h3><div>Given the high prevalence and serious health threats of Metabolic dysfunction-associated steatotic liver disease (MASLD) in older people, uncovering the pathological features of MASLD in the context of age is critically important. This study aimed to perform serum metabolomics analysis for older adults with MASLD to identify potential biomarkers and involved metabolic disturbances.</div></div><div><h3>Methods</h3><div>30 older subjects with MASLD and 30 healthy individuals were included (age &gt; 65). Sex-stratified metabolomics analysis was applied by using ultra-high-performance liquid chromatography-mass spectrometry (UHPLC-MS/MS). Partial least squares discriminant analysis (PLS-DA) was utilized to identify differential metabolites between groups. The distinct and shared pathways of MASLD in older men and older women were explored using MetaboAnalyst 6.0. Machine learning algorithms are applied to screen for optimal biomarkers. Receiver operating characteristics (ROC) curve analysis was applied to test the predictive ability of biomarkers. Spearman's correlation analysis was conducted to evaluate the correlation of metabolic biomarkers with biochemical parameters. The differences in phosphatidylcholine concentration were externally validated in other 60 older adults. Finally, in the aged mice MASLD model, the mRNA expression levels of the rate-limiting enzyme of phosphatidylcholine synthesis (PCYT1A and PEMT) were detected.</div></div><div><h3>Results</h3><div>Principal components analysis (PCA) and PLS-DA exhibited pronounced metabolic separations between the MASLD and HC groups in both older males and females. 14 shared metabolites were selected by the least absolute shrinkage and selection operator (LASSO) and Support Vector Machine-Recursive Feature Elimination (SVM-RFE) algorithms. Finally, 6 metabolites significantly dysregulated in older MASLD patients (|logFC| &gt; 0.5) would be determined as the optimal metabolic markers, including: PC 18:1_22:6, 2’-Deoxyuridine-5-monophosphate, porphobilinogen, uridine, all-trans-13,14-Dihydroretinol and D-Ribulose 1,5-bisphosphate. Notably, a marked difference in serum phosphatidylcholine levels in the elderly between the MASLD group and the healthy group was confirmed by external validation (<em>p</em> &lt; 0.001). The significant downregulation of PCYT1A mRNA expression was also found in the aged mice MASLD model.</div></div><div><h3>Conclusions</h3><div>This study depicts the metabolic features of MASLD in the older population. Our finding explores promising biomarkers for diagnosis and provides more perspectives on molecular mechanisms and potential targets for MASLD in the context of aging.</div></div>","PeriodicalId":94003,"journal":{"name":"Experimental gerontology","volume":"215 ","pages":"Article 113067"},"PeriodicalIF":4.3,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146168562","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Development and validation of a machine learning model for frailty screening using claims data in Japan: the Longevity Improvement & Fair Evidence Study","authors":"Kengo Kawaguchi ,&nbsp;Megumi Maeda ,&nbsp;Futoshi Oda ,&nbsp;Yasuharu Nakashima ,&nbsp;Haruhisa Fukuda","doi":"10.1016/j.exger.2026.113050","DOIUrl":"10.1016/j.exger.2026.113050","url":null,"abstract":"<div><h3>Background</h3><div>Frailty is an ageing-associated multidimensional condition linked to higher long-term care (LTC) needs, healthcare expenditures, and mortality. In Japan, the Questionnaire for Medical Checkup of Old-Old (QMCOO) is used to assess frailty, but its implementation is resource-intensive. Claims-based prediction models may offer a scalable alternative for early frailty identification.</div></div><div><h3>Methods</h3><div>We developed a machine learning model using administrative claims data from older adults to predict frailty status as defined by the QMCOO. In Phase 1, the model was trained and validated using data from a single municipality. In Phase 2, the model's prognostic utility for predicting all-cause mortality was evaluated using data from seven other municipalities. We applied the eXtreme Gradient Boosting algorithm, incorporating demographic variables, LTC use, comorbidities, procedures, and medical device use. Model performance was assessed mainly using the area under the receiver operating characteristic curve (ROC-AUC). Mortality risk was estimated using Kaplan–Meier method and Cox regression models.</div></div><div><h3>Results</h3><div>In Phase 1, a total of 74,148 individuals were included (development cohort: 60,930, validation cohort: 13,218). The model achieved an ROC-AUC of 0.780 in internal validation and 0.728 in external validation. In Phase 2, external validation was conducted in a new cohort of 354,815 individuals. Frailty classification was associated with significantly higher mortality in both the development (hazard ratio: 7.03, 95% confidence interval: 6.47–7.63) and validation (6.75, 6.62–6.89) cohorts.</div></div><div><h3>Conclusion</h3><div>This claims-based frailty prediction model showed reasonable performance and prognostic value. It may support efficient, population-level frailty screenings where questionnaire-based assessments are impractical.</div></div>","PeriodicalId":94003,"journal":{"name":"Experimental gerontology","volume":"215 ","pages":"Article 113050"},"PeriodicalIF":4.3,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146081231","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Systems-level modelling of DNA damage, senescence, and stem cell dynamics in ageing","authors":"Anchen Che ,&nbsp;Amy E. Morgan ,&nbsp;Mark T. Mc Auley","doi":"10.1016/j.exger.2026.113063","DOIUrl":"10.1016/j.exger.2026.113063","url":null,"abstract":"<div><div>Ageing entails a variety of cellular and physiological changes that increase susceptibility to disease and death. A significant contributor to ageing is cellular senescence, a state of irreversible cell cycle arrest triggered by stressors such as DNA damage, telomere shortening, and the senescence-associated secretory phenotype. It is challenging to understand the nonlinear interactions between these complex mechanisms using conventional laboratory approaches. Mathematical modelling is capable of representing this complexity. In this study we introduce a mathematical model that captures the dynamics of cellular ageing within a population of cells. The model integrates key processes including DNA damage repair, senescence, quiescence, apoptosis, and cell division. The model was used to simulate the effects of ageing and to evaluate the efficacy of several interventions, including senolytics, telomere length preservation, and stem cell therapy. Deterministic and stochastic simulations reproduce core ageing features: progressive accumulation of senescent cells, a generation distribution centred near experimentally observed Hayflick limits, and an exponential-like age distribution of non-senescent cells. This model captures the long-lasting effects of interventions such as telomere lengthening and stem-cell therapy. It offers a quantitative, extendable platform that supports hypothesis testing and helps identify which ageing interventions warrant experimental validation. Overall, it provides a predictive framework for interpreting cellular ageing and for guiding future experimental work.</div></div>","PeriodicalId":94003,"journal":{"name":"Experimental gerontology","volume":"215 ","pages":"Article 113063"},"PeriodicalIF":4.3,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146196236","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Association of accelerometer-measured rest-activity rhythm patterns and parameters with cardiovascular and all-cause mortality in older adults: Population-based cohort study","authors":"Shuaijie Chen ,&nbsp;Qiong Su ,&nbsp;Ruming Shen ,&nbsp;Hailin Zhang ,&nbsp;Xiaoyan Lin ,&nbsp;Shengbin Yu ,&nbsp;Mingqin Chen ,&nbsp;Yuhong Shi ,&nbsp;Feng Peng ,&nbsp;Jinxiu Lin ,&nbsp;Dajun Chai","doi":"10.1016/j.exger.2026.113043","DOIUrl":"10.1016/j.exger.2026.113043","url":null,"abstract":"<div><h3>Background</h3><div>Rest-activity rhythm (RAR) is a fundamental biomarker of age-related circadian system deterioration. However, the long-term effect of RAR patterns on mortality in older adults remains unclear.</div></div><div><h3>Methods</h3><div>This study analysed data from National Health and Nutrition Examination Survey 2011–2014. The RAR parameters were derived from wrist accelerometers, and four patterns were identified through clustering analysis using Gaussian mixture models. Cox models were used to compare the hazard ratio (HR) and 95% confidence interval (CI) of mortality among participants with different RAR parameters and patterns.</div></div><div><h3>Results</h3><div>This study included 1710 participants aged ≥60 years. The median follow-up duration was 6.67 years. In total, 269 all-cause deaths and 77 cardiovascular deaths occurred during follow-up period. Four RAR patterns were identified: ‘morning-type’, ‘earlier-type’, ‘delayed-type’, and ‘evening-type’. Compared to ‘morning-type’, ‘evening-type’ was associated with higher risks of cardiovascular (HR: 12.16, 95% CI: 4.02–36.82) and all-cause mortality (HR: 3.31, 95% CI: 1.91–5.72). Higher interdaily stability was associated with lower risks of cardiovascular (HR: 0.67, 95% CI: 0.55–0.81), and all-cause mortality (HR: 0.86, 95% CI: 0.74–1.00). Higher relative amplitude was associated with lower risks of cardiovascular (HR: 0.61, 95% CI: 0.49–0.75), and all-cause mortality (HR: 0.70, 95% CI: 0.60–0.81). Conversely, higher intradaily variability was associated with increased risk of cardiovascular (HR: 1.30, 95% CI: 1.15–1.46) and all-cause mortality (HR: 1.19, 95% CI: 1.10–1.30).</div></div><div><h3>Conclusions</h3><div>RAR patterns and parameters were significantly associated with cardiovascular and all-cause mortality in older adults. Early identification and intervention for adverse RAR patterns may help improve long-term health outcomes.</div></div>","PeriodicalId":94003,"journal":{"name":"Experimental gerontology","volume":"215 ","pages":"Article 113043"},"PeriodicalIF":4.3,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146047666","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Uncovering treatment effect heterogeneity in pragmatic gerontology trials","authors":"Changjun Li ,&nbsp;Heather Allore ,&nbsp;Michael O. Harhay ,&nbsp;Fan Li ,&nbsp;Guangyu Tong","doi":"10.1016/j.exger.2026.113055","DOIUrl":"10.1016/j.exger.2026.113055","url":null,"abstract":"<div><div>Detecting heterogeneity in treatment response enriches the interpretation of gerontologic trials. In aging research, estimating the intervention’s effect on clinically meaningful outcomes poses analytical challenges when outcomes are truncated by death. For example, in the Whole Systems Demonstrator trial, a large cluster-randomized study evaluating telecare among older adults, the overall effect of the intervention on quality of life was found to be null. However, this marginal intervention estimate obscures potential heterogeneity of individuals responding to the intervention, particularly among those who survive to the end of follow-up. To explore this heterogeneity, we adopt a causal framework grounded in principal stratification, targeting the Survivor Average Causal Effect (SACE)—the treatment effect among “always-survivors,” or those who would survive regardless of treatment assignment. We extend this framework using Bayesian Additive Regression Trees (BART), a nonparametric machine learning method, to flexibly model both latent principal strata and stratum-specific potential outcomes. This enables the estimation of the Conditional SACE (CSACE), allowing us to uncover variation in treatment effects across subgroups defined by baseline characteristics. Our analysis reveals that despite the null average effect, some subgroups experience distinct quality of life benefits (or lack thereof) from telecare, highlighting opportunities for more personalized intervention strategies. This study demonstrates how embedding machine learning methods, such as BART, within a principled causal inference framework can offer deeper insights into trial data with complex features including truncation by death and clustering—key considerations in analyzing pragmatic gerontology trials.</div></div>","PeriodicalId":94003,"journal":{"name":"Experimental gerontology","volume":"215 ","pages":"Article 113055"},"PeriodicalIF":4.3,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146109295","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Associations of frailty, oral health, and dietary well-being with risk of malnutrition among rural community-dwelling older adults: A cross-sectional study","authors":"Ya-Wen Kuo ,&nbsp;Hsiu-Fan Hsu ,&nbsp;Wen-Li Hou ,&nbsp;Susan Fetzer ,&nbsp;Yuan-Xuan Liu ,&nbsp;Li-Ching Chang ,&nbsp;Chung-Chih Lin ,&nbsp;Jiann-Der Lee","doi":"10.1016/j.exger.2026.113065","DOIUrl":"10.1016/j.exger.2026.113065","url":null,"abstract":"<div><h3>Background</h3><div>The risk of malnutrition is common among older adults and is influenced by factors such as frailty, oral health, and dietary well-being. This study examined the association of frailty, masticatory performance, and dietary well-being with malnutrition risk in rural community-dwelling older adults.</div></div><div><h3>Methods</h3><div>A cross-sectional observational study used a convenience sample of 269 adults over 65 from community sites in southern Taiwan. Data were collected through self-reported questionnaires, the Mini Nutritional Assessment (MNA)–Short Form, the Dietary Well-being Scale, frailty measured by the Study of Osteoporotic Fractures (SOF) frailty index, the Iowa Oral Performance Instrument, and a chewing gum test. Logistic regression and stratified analyses were used to examine associations between predictors and malnutrition risk.</div></div><div><h3>Results</h3><div>Frailty was significantly associated with increased malnutrition risk (OR = 2.47, <em>p</em> = 0.008), while greater masticatory performance was associated with reduced risk (OR = 0.67, <em>p</em> = 0.006). Stratified analyses showed that frailty was linked to higher malnutrition risk among individuals with chronic diseases, fewer than 20 teeth, or denture use. Masticatory performance was inversely associated with malnutrition risk, particularly in those with tooth loss and dentures. Dietary well-being had a protective effect in participants with chronic diseases (OR = 0.97, <em>p</em> = 0.040).</div></div><div><h3>Conclusions</h3><div>Frailty and poor masticatory performance are associated with an increased risk of malnutrition in older adults. Integrating oral health, chronic disease management, and dietary support is essential for prevention, especially in rural communities.</div></div>","PeriodicalId":94003,"journal":{"name":"Experimental gerontology","volume":"215 ","pages":"Article 113065"},"PeriodicalIF":4.3,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146159807","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Comprehensive evaluation of appendicular lean mass and sarcopenia on human health: evidence from the NHANES program","authors":"Xiao Long ,&nbsp;Ruizhi Chen ,&nbsp;Yanmin Lu ,&nbsp;Binbin Ma ,&nbsp;Yuxin Chang ,&nbsp;Zichao Jiang ,&nbsp;Ting Lei","doi":"10.1016/j.exger.2026.113049","DOIUrl":"10.1016/j.exger.2026.113049","url":null,"abstract":"<div><h3>Background</h3><div>While accumulating points have been figured out the importance of muscle function, less clinical or epidemiological evidence have been provided. This study aimed to provide new evidence on the systemic effects of muscle mass on health condition, based on the National Health and Nutrition Examination Survey (NHANES) program.</div></div><div><h3>Method</h3><div>All used data was acquired from 11 survey cycles (1999–2020) of the NHANES program. The mortality information of participants was derived from the National Death Index (NDI) website. The disease status of participants was obtained from questionnaire surveys. The metabolism-related index was obtained from examination data. Multiple regression methods, smooth curve fitting, and threshold effect models were used for association analyses.</div></div><div><h3>Result</h3><div>In this large-scale study encompassing 46,733 participants, appendicular lean mass (ALM) demonstrated significant associations with multiple health outcomes: ALM exhibited L-shaped relationships with hyperuricemia and malignancy, inverse correlations with asthma, chronic obstructive pulmonary disease (COPD), rheumatoid arthritis (RA), nephrolithiasis, depression, and cancer-cause mortality, a positive correlation with bone mineral density (BMD), and notably, protective saturating effects against osteoarthritis (OA), all-cause mortality, and cardiovascular (CVD)-cause mortality. A significant inverse association was observed between sarcopenia and BMD, while positive correlations were identified between sarcopenia and COPD, asthma, OA, depression, and all-cause mortality.</div></div><div><h3>Conclusions</h3><div>In this study, we explored the association between ALM or sarcopenia and multiple health outcomes, highlighting the widespread impact of ALM on systemic health condition. These findings provide new epidemiological evidence on how ALM or sarcopenia influence the health status among the U.S. population.</div></div>","PeriodicalId":94003,"journal":{"name":"Experimental gerontology","volume":"215 ","pages":"Article 113049"},"PeriodicalIF":4.3,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146043331","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}