{"title":"美国成年人的表观遗传年龄加速和死亡风险预测。","authors":"Angelico Mendy, Tesfaye B Mersha","doi":"10.1101/2024.08.21.24312373","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Epigenetic clocks have emerged as novel measures of biological age and potential predictors of mortality. We aimed to test whether epigenetic age acceleration (EAA) estimated using different epigenetic clocks predict long-term overall, cardiovascular or cancer mortality.</p><p><strong>Methods: </strong>We analyzed data from 2,105 participants to the 1999-2002 National Health and Nutrition Examination Survey aged ≥50 years old who were followed for mortality through 2019. EAAs was calculated from the residuals of Horvath, Hannum, SkinBlood, Pheno, Zhang, Lin, Weidner, Vidal-Bralo and Grim epigenetic clocks regressed on chronological age. Using cox proportional hazards regression, we estimated the hazard ratio (HR) and 95% confidence interval (CI) for the association of EAA (per 5-year) and the DunedinPoAm pace of aging (per 10% increase) with overall, cardiovascular and cancer mortality, adjusting for covariates and white blood cell composition.</p><p><strong>Results: </strong>During a median follow-up of 17.5 years, 998 deaths occurred, including 272 from cardiovascular disease and 209 from cancer. Overall mortality was most significantly predicted by Grim EAA (<i>P</i> < 0.0001; HR: 1.50, 95% CI: 1.32-1.71) followed by Hannum (<i>P</i> = 0.001; HR: 1.16, 95% CI: 1.07-1.27), Pheno (<i>P</i> = 0.001; HR: 1.13, 95% CI: 1.05-1.21), Horvath (<i>P</i> = 0.007; HR: 1.13, 95% CI: 1.04-1.22) and Vidal-Bralo (<i>P</i> = 0.008; HR: 1.13, 95% CI: 1.03-1.23) EAAs. Grim EAA predicted cardiovascular mortality (<i>P</i> < 0.0001; HR: 1.55, 95% CI: 1.29-1.86), whereas Hannum (<i>P</i> = 0.006; HR: 1.24, 95% CI: 1.07-1.44), Horvath (<i>P</i> = 0.02; HR: 1.18, 95% CI: 1.02-1.35) and Grim (<i>P</i> = 0.049; HR: 1.37, 95% CI: 1.00-1.87) EAAs predicted cancer mortality. DunedinPoAm pace of aging was associated with overall (<i>P</i> = 0.003; HR: 1.23, 95% CI: 1.08-1.38) and cardiovascular (<i>P</i> = 0.04; HR: 1.25, 95% CI: 1.01-1.55) mortality.</p><p><strong>Conclusions: </strong>In a U.S. representative sample, Horvath, Hannum, Pheno, Vidal-Bralo and Grim EAA all predicted overall mortality but only Grim EAA predicted cardiovascular mortality and Horvath, Hannum or Grim EAA predicted cancer mortality. Pace of aging predicted overall and cardiovascular mortality.</p>","PeriodicalId":94281,"journal":{"name":"medRxiv : the preprint server for health sciences","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2024-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11370508/pdf/","citationCount":"0","resultStr":"{\"title\":\"Epigenetic age acceleration and mortality risk prediction in U.S. adults.\",\"authors\":\"Angelico Mendy, Tesfaye B Mersha\",\"doi\":\"10.1101/2024.08.21.24312373\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>Epigenetic clocks have emerged as novel measures of biological age and potential predictors of mortality. We aimed to test whether epigenetic age acceleration (EAA) estimated using different epigenetic clocks predict long-term overall, cardiovascular or cancer mortality.</p><p><strong>Methods: </strong>We analyzed data from 2,105 participants to the 1999-2002 National Health and Nutrition Examination Survey aged ≥50 years old who were followed for mortality through 2019. EAAs was calculated from the residuals of Horvath, Hannum, SkinBlood, Pheno, Zhang, Lin, Weidner, Vidal-Bralo and Grim epigenetic clocks regressed on chronological age. Using cox proportional hazards regression, we estimated the hazard ratio (HR) and 95% confidence interval (CI) for the association of EAA (per 5-year) and the DunedinPoAm pace of aging (per 10% increase) with overall, cardiovascular and cancer mortality, adjusting for covariates and white blood cell composition.</p><p><strong>Results: </strong>During a median follow-up of 17.5 years, 998 deaths occurred, including 272 from cardiovascular disease and 209 from cancer. Overall mortality was most significantly predicted by Grim EAA (<i>P</i> < 0.0001; HR: 1.50, 95% CI: 1.32-1.71) followed by Hannum (<i>P</i> = 0.001; HR: 1.16, 95% CI: 1.07-1.27), Pheno (<i>P</i> = 0.001; HR: 1.13, 95% CI: 1.05-1.21), Horvath (<i>P</i> = 0.007; HR: 1.13, 95% CI: 1.04-1.22) and Vidal-Bralo (<i>P</i> = 0.008; HR: 1.13, 95% CI: 1.03-1.23) EAAs. Grim EAA predicted cardiovascular mortality (<i>P</i> < 0.0001; HR: 1.55, 95% CI: 1.29-1.86), whereas Hannum (<i>P</i> = 0.006; HR: 1.24, 95% CI: 1.07-1.44), Horvath (<i>P</i> = 0.02; HR: 1.18, 95% CI: 1.02-1.35) and Grim (<i>P</i> = 0.049; HR: 1.37, 95% CI: 1.00-1.87) EAAs predicted cancer mortality. DunedinPoAm pace of aging was associated with overall (<i>P</i> = 0.003; HR: 1.23, 95% CI: 1.08-1.38) and cardiovascular (<i>P</i> = 0.04; HR: 1.25, 95% CI: 1.01-1.55) mortality.</p><p><strong>Conclusions: </strong>In a U.S. representative sample, Horvath, Hannum, Pheno, Vidal-Bralo and Grim EAA all predicted overall mortality but only Grim EAA predicted cardiovascular mortality and Horvath, Hannum or Grim EAA predicted cancer mortality. Pace of aging predicted overall and cardiovascular mortality.</p>\",\"PeriodicalId\":94281,\"journal\":{\"name\":\"medRxiv : the preprint server for health sciences\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-08-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11370508/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"medRxiv : the preprint server for health sciences\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1101/2024.08.21.24312373\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"medRxiv : the preprint server for health sciences","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1101/2024.08.21.24312373","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
摘要
背景:表观遗传时钟是衡量生物年龄的新方法,也是预测死亡率的潜在指标。我们的目的是检验使用不同表观遗传时钟估算的表观遗传年龄加速度(EAA)是否能预测长期总体死亡率、心血管死亡率或癌症死亡率:我们分析了参加 1999-2002 年全国健康与营养调查的 2,105 名年龄≥50 岁的参与者的数据,这些参与者的死亡率随访至 2019 年。EAAs是根据Horvath、Hannum、SkinBlood、Pheno、Zhang、Lin、Weidner、Vidal-Bralo和Grim表观遗传时钟与年代年龄回归的残差计算得出的。我们使用cox比例危害回归法估算了EAA(每5年)和DunedinPoAm衰老速度(每增加10%)与总死亡率、心血管死亡率和癌症死亡率之间的危害比(HR)和95%置信区间(CI),并对共变量和白细胞组成进行了调整:在 17.5 年的中位随访期间,共有 998 人死亡,其中 272 人死于心血管疾病,209 人死于癌症。Grim EAA(P < 0.0001;HR:1.50,95% CI:1.32-1.71)对总死亡率的预测效果最明显,其次是 Hannum(P = 0.001;HR:1.16,95% CI:1.07-1.27)、Pheno(P < 0.0001;HR:1.50,95% CI:1.32-1.71)、Grim EAA(P < 0.0001;HR:1.50,95% CI:1.32-1.71)。27), Pheno ( P = 0.001; HR: 1.13, 95% CI: 1.05-1.21), Horvath ( P = 0.007; HR: 1.13, 95% CI: 1.04-1.22) 和 Vidal-Bralo ( P = 0.008; HR: 1.13, 95% CI: 1.03-1.23) EAAs。Grim EAA 预测心血管死亡率(P < 0.0001;HR:1.55,95% CI:1.29-1.86),而 Hannum ( P = 0.006;HR:1.24,95% CI:1.07-1.44)、Horvath ( P = 0.02;HR:1.18,95% CI:1.02-1.35) 和 Grim ( P = 0.049;HR:1.37,95% CI:1.00-1.87) EAA 预测癌症死亡率。DunedinPoAm 的衰老速度与总体死亡率(P = 0.003;HR:1.23,95% CI:1.08-1.38)和心血管死亡率(P = 0.04;HR:1.25,95% CI:1.01-1.55)相关:在美国代表性样本中,Horvath、Hannum、Pheno、Vidal-Bralo 和 Grim EAA 都能预测总死亡率,但只有 Grim EAA 能预测心血管死亡率,而 Horvath、Hannum 或 Grim EAA 能预测癌症死亡率。衰老速度可预测总死亡率和心血管死亡率。
Epigenetic age acceleration and mortality risk prediction in U.S. adults.
Background: Epigenetic clocks have emerged as novel measures of biological age and potential predictors of mortality. We aimed to test whether epigenetic age acceleration (EAA) estimated using different epigenetic clocks predict long-term overall, cardiovascular or cancer mortality.
Methods: We analyzed data from 2,105 participants to the 1999-2002 National Health and Nutrition Examination Survey aged ≥50 years old who were followed for mortality through 2019. EAAs was calculated from the residuals of Horvath, Hannum, SkinBlood, Pheno, Zhang, Lin, Weidner, Vidal-Bralo and Grim epigenetic clocks regressed on chronological age. Using cox proportional hazards regression, we estimated the hazard ratio (HR) and 95% confidence interval (CI) for the association of EAA (per 5-year) and the DunedinPoAm pace of aging (per 10% increase) with overall, cardiovascular and cancer mortality, adjusting for covariates and white blood cell composition.
Results: During a median follow-up of 17.5 years, 998 deaths occurred, including 272 from cardiovascular disease and 209 from cancer. Overall mortality was most significantly predicted by Grim EAA (P < 0.0001; HR: 1.50, 95% CI: 1.32-1.71) followed by Hannum (P = 0.001; HR: 1.16, 95% CI: 1.07-1.27), Pheno (P = 0.001; HR: 1.13, 95% CI: 1.05-1.21), Horvath (P = 0.007; HR: 1.13, 95% CI: 1.04-1.22) and Vidal-Bralo (P = 0.008; HR: 1.13, 95% CI: 1.03-1.23) EAAs. Grim EAA predicted cardiovascular mortality (P < 0.0001; HR: 1.55, 95% CI: 1.29-1.86), whereas Hannum (P = 0.006; HR: 1.24, 95% CI: 1.07-1.44), Horvath (P = 0.02; HR: 1.18, 95% CI: 1.02-1.35) and Grim (P = 0.049; HR: 1.37, 95% CI: 1.00-1.87) EAAs predicted cancer mortality. DunedinPoAm pace of aging was associated with overall (P = 0.003; HR: 1.23, 95% CI: 1.08-1.38) and cardiovascular (P = 0.04; HR: 1.25, 95% CI: 1.01-1.55) mortality.
Conclusions: In a U.S. representative sample, Horvath, Hannum, Pheno, Vidal-Bralo and Grim EAA all predicted overall mortality but only Grim EAA predicted cardiovascular mortality and Horvath, Hannum or Grim EAA predicted cancer mortality. Pace of aging predicted overall and cardiovascular mortality.