Leah Moubadder, Junyu Chen, Elizabeth S Clausing, Katrina L Kezios, Karen N Conneely, Pam Factor-Litvak, Diddier Prada, Andrea Baccarelli, Rachel C Shelton, Bruce G Link, Shakira F Suglia
{"title":"整个生命过程中社会经济条件对表观遗传年龄加速的影响:来自纵向队列的证据","authors":"Leah Moubadder, Junyu Chen, Elizabeth S Clausing, Katrina L Kezios, Karen N Conneely, Pam Factor-Litvak, Diddier Prada, Andrea Baccarelli, Rachel C Shelton, Bruce G Link, Shakira F Suglia","doi":"10.1093/gerona/glaf139","DOIUrl":null,"url":null,"abstract":"Background We investigated whether adulthood socioeconomic status (SES) mediates the association between childhood SES and biological aging in a longitudinal cohort (N = 359). Methods SES was measured using composite scores from prospective measures in childhood and at age 50. Peripheral blood DNA methylation (DNAm) was measured at approximately 50 years of age. DNAm age acceleration (AA) was quantified for DNAm “clocks” (Horvath, Hannum, PhenoAge, GrimAge) and a DNAm pace-of-aging measure (DunedinPACE). Linear regression was used to evaluate the associations between SES at each life stage and DNAm AA. Adulthood SES was evaluated as a mediator between childhood SES and DNAm AA using marginal structural models. Results Compared to high childhood SES, low childhood SES was associated with AA for GrimAge (β=0.99, 95% confidence interval [CI]: 0.08, 1.91) and DunedinPACE (β=0.05, 95% CI: 0.02, 0.08). Low adulthood SES, compared to high adulthood SES, was also associated with AA for GrimAge (β=2.31, 95% CI: 1.35, 3.28) and DunedinPACE (β=0.05, 95% CI: 0.02, 0.08). The association between childhood SES and both clocks were partially mediated by adulthood SES. No other clocks were associated with SES. Conclusion Early and late-life socioeconomic conditions accelerate biological aging. Larger studies exploring mediators and interventions are needed for equitable aging mitigation.","PeriodicalId":22892,"journal":{"name":"The Journals of Gerontology Series A: Biological Sciences and Medical Sciences","volume":"106 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2025-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Impact of Socioeconomic Conditions Across the Life Course on Epigenetic Age Acceleration: Evidence from a Longitudinal Cohort\",\"authors\":\"Leah Moubadder, Junyu Chen, Elizabeth S Clausing, Katrina L Kezios, Karen N Conneely, Pam Factor-Litvak, Diddier Prada, Andrea Baccarelli, Rachel C Shelton, Bruce G Link, Shakira F Suglia\",\"doi\":\"10.1093/gerona/glaf139\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Background We investigated whether adulthood socioeconomic status (SES) mediates the association between childhood SES and biological aging in a longitudinal cohort (N = 359). Methods SES was measured using composite scores from prospective measures in childhood and at age 50. Peripheral blood DNA methylation (DNAm) was measured at approximately 50 years of age. DNAm age acceleration (AA) was quantified for DNAm “clocks” (Horvath, Hannum, PhenoAge, GrimAge) and a DNAm pace-of-aging measure (DunedinPACE). Linear regression was used to evaluate the associations between SES at each life stage and DNAm AA. Adulthood SES was evaluated as a mediator between childhood SES and DNAm AA using marginal structural models. Results Compared to high childhood SES, low childhood SES was associated with AA for GrimAge (β=0.99, 95% confidence interval [CI]: 0.08, 1.91) and DunedinPACE (β=0.05, 95% CI: 0.02, 0.08). Low adulthood SES, compared to high adulthood SES, was also associated with AA for GrimAge (β=2.31, 95% CI: 1.35, 3.28) and DunedinPACE (β=0.05, 95% CI: 0.02, 0.08). The association between childhood SES and both clocks were partially mediated by adulthood SES. No other clocks were associated with SES. Conclusion Early and late-life socioeconomic conditions accelerate biological aging. Larger studies exploring mediators and interventions are needed for equitable aging mitigation.\",\"PeriodicalId\":22892,\"journal\":{\"name\":\"The Journals of Gerontology Series A: Biological Sciences and Medical Sciences\",\"volume\":\"106 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2025-07-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"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/glaf139\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","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/glaf139","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Impact of Socioeconomic Conditions Across the Life Course on Epigenetic Age Acceleration: Evidence from a Longitudinal Cohort
Background We investigated whether adulthood socioeconomic status (SES) mediates the association between childhood SES and biological aging in a longitudinal cohort (N = 359). Methods SES was measured using composite scores from prospective measures in childhood and at age 50. Peripheral blood DNA methylation (DNAm) was measured at approximately 50 years of age. DNAm age acceleration (AA) was quantified for DNAm “clocks” (Horvath, Hannum, PhenoAge, GrimAge) and a DNAm pace-of-aging measure (DunedinPACE). Linear regression was used to evaluate the associations between SES at each life stage and DNAm AA. Adulthood SES was evaluated as a mediator between childhood SES and DNAm AA using marginal structural models. Results Compared to high childhood SES, low childhood SES was associated with AA for GrimAge (β=0.99, 95% confidence interval [CI]: 0.08, 1.91) and DunedinPACE (β=0.05, 95% CI: 0.02, 0.08). Low adulthood SES, compared to high adulthood SES, was also associated with AA for GrimAge (β=2.31, 95% CI: 1.35, 3.28) and DunedinPACE (β=0.05, 95% CI: 0.02, 0.08). The association between childhood SES and both clocks were partially mediated by adulthood SES. No other clocks were associated with SES. Conclusion Early and late-life socioeconomic conditions accelerate biological aging. Larger studies exploring mediators and interventions are needed for equitable aging mitigation.