Katri Ruutu, Jens Verbeeren, Tuija M Mikkola, Merja K Laine, Johan G Eriksson, Niko S Wasenius
{"title":"Leisure-time physical activity and metabolomic trajectories over the transition from late midlife to old age.","authors":"Katri Ruutu, Jens Verbeeren, Tuija M Mikkola, Merja K Laine, Johan G Eriksson, Niko S Wasenius","doi":"10.1093/gerona/glag159","DOIUrl":null,"url":null,"abstract":"<p><p>Physical activity may counteract aging-associated disruptions in the metabolome. We investigated how leisure-time physical activity (LTPA) associates with the metabolome in late midlife and with 15-year metabolomic trajectories. The study included 1816 Helsinki Birth Cohort Study participants at baseline (mean age 61.6 years), with 985, 996, and 740 participants at the 5-, 10-, and 15-year follow-ups, respectively. LTPA was assessed at baseline and after 15 years using a validated questionnaire and expressed as METhours/week. Nuclear magnetic resonance-based metabolomics data from fasting blood samples were used to analyze 161 biomarkers at baseline and at each follow-up. Weighted Gene Co-Expression Network Analysis was performed on the metabolomics data to identify 11 metabolomic biomarker modules. Baseline associations were analyzed using restricted cubic splines and longitudinal associations with linear mixed-effects models. Analyses were sex-stratified, covariate-adjusted, and corrected for multiple testing. At baseline, LTPA was nonlinearly associated with albumin in women and with 9 biomarkers in men in the crude, but not fully adjusted, model. Over the follow-up, baseline LTPA was associated with the age-related trajectory of triglyceride-enriched high-density lipoprotein (HDL) module in men (age × LTPA interaction p = .041). In the high LTPA group, the trajectory declined significantly compared to the low (p = .004) and moderate LTPA groups (p = .045). No associations were found in women. To conclude, in men, higher LTPA in late midlife predicted a favorable 15-year trajectory of triglyceride-enriched HDL. Our findings indicate that an active lifestyle is associated with more favorable metabolomic trajectories related to cardiometabolic health across late midlife and old age.</p>","PeriodicalId":94243,"journal":{"name":"The journals of gerontology. Series A, Biological sciences and medical sciences","volume":" ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2026-08-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13459948/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"The journals of gerontology. Series A, Biological sciences and medical sciences","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1093/gerona/glag159","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Physical activity may counteract aging-associated disruptions in the metabolome. We investigated how leisure-time physical activity (LTPA) associates with the metabolome in late midlife and with 15-year metabolomic trajectories. The study included 1816 Helsinki Birth Cohort Study participants at baseline (mean age 61.6 years), with 985, 996, and 740 participants at the 5-, 10-, and 15-year follow-ups, respectively. LTPA was assessed at baseline and after 15 years using a validated questionnaire and expressed as METhours/week. Nuclear magnetic resonance-based metabolomics data from fasting blood samples were used to analyze 161 biomarkers at baseline and at each follow-up. Weighted Gene Co-Expression Network Analysis was performed on the metabolomics data to identify 11 metabolomic biomarker modules. Baseline associations were analyzed using restricted cubic splines and longitudinal associations with linear mixed-effects models. Analyses were sex-stratified, covariate-adjusted, and corrected for multiple testing. At baseline, LTPA was nonlinearly associated with albumin in women and with 9 biomarkers in men in the crude, but not fully adjusted, model. Over the follow-up, baseline LTPA was associated with the age-related trajectory of triglyceride-enriched high-density lipoprotein (HDL) module in men (age × LTPA interaction p = .041). In the high LTPA group, the trajectory declined significantly compared to the low (p = .004) and moderate LTPA groups (p = .045). No associations were found in women. To conclude, in men, higher LTPA in late midlife predicted a favorable 15-year trajectory of triglyceride-enriched HDL. Our findings indicate that an active lifestyle is associated with more favorable metabolomic trajectories related to cardiometabolic health across late midlife and old age.