{"title":"研究生物老化和不良妊娠结局之间的遗传联系。","authors":"Ning Sun, Kaiyan Yang, Huihui Wang, Wenbo Zhou","doi":"10.1007/s10522-025-10198-y","DOIUrl":null,"url":null,"abstract":"<p><p>Observational studies suggest a link between biological aging and adverse pregnancy outcomes (APOs), but causal relationships remain unclear. This study aimed to investigate the relationship between genetically predicted biological aging traits and APOs. Genetic summary statistics from the genome-wide association study (GWAS) of the IEU open GWAS, FinnGen, and meta-analysis were analyzed using Mendelian randomization (MR) to infer causality. Biological aging indicators included facial aging, frailty index, and epigenetic aging markers. APOs included gestational diabetes mellitus (GDM), hypertensive disorders of pregnancy (HTP), preterm birth (PTB), and pregnancy loss (PL). The primary MR analyses utilized the inverse variance weighted method, followed by sensitivity analyses. Reverse MR and multivariable MR were employed to explore reverse causality and potential mediating effects. We found that the frailty index was positively associated with GDM (OR = 2.00, 95% CI 1.44-2.77, P = 3.41E - 5), HTP (OR = 2.09, 95% CI 1.33-3.29, P = 0.001), and PL (OR = 1.22, 95% CI 1.03-1.46, P = 0.023) risks. Inverse MR showed that susceptibility to HTP (β = 0.05, 95% CI 0.03-0.07, P = 4.43E - 6) and PL (β = 0.06, 95% CI 0.01-0.11, P = 0.011) was positively correlated with the frailty index, while PTB was positively correlated with PhenoAge (β = 0.24, 95% CI 0.02-0.46, P = 0.035). Our findings suggest a genetic association between the frailty index and susceptibility to GDM, HTP, and PL. Closer monitoring of biological aging indicators during pregnancy may be necessary to prevent APOs.</p>","PeriodicalId":8909,"journal":{"name":"Biogerontology","volume":"26 2","pages":"56"},"PeriodicalIF":4.4000,"publicationDate":"2025-02-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Investigating genetic links between biological aging and adverse pregnancy outcomes.\",\"authors\":\"Ning Sun, Kaiyan Yang, Huihui Wang, Wenbo Zhou\",\"doi\":\"10.1007/s10522-025-10198-y\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Observational studies suggest a link between biological aging and adverse pregnancy outcomes (APOs), but causal relationships remain unclear. This study aimed to investigate the relationship between genetically predicted biological aging traits and APOs. Genetic summary statistics from the genome-wide association study (GWAS) of the IEU open GWAS, FinnGen, and meta-analysis were analyzed using Mendelian randomization (MR) to infer causality. Biological aging indicators included facial aging, frailty index, and epigenetic aging markers. APOs included gestational diabetes mellitus (GDM), hypertensive disorders of pregnancy (HTP), preterm birth (PTB), and pregnancy loss (PL). The primary MR analyses utilized the inverse variance weighted method, followed by sensitivity analyses. Reverse MR and multivariable MR were employed to explore reverse causality and potential mediating effects. We found that the frailty index was positively associated with GDM (OR = 2.00, 95% CI 1.44-2.77, P = 3.41E - 5), HTP (OR = 2.09, 95% CI 1.33-3.29, P = 0.001), and PL (OR = 1.22, 95% CI 1.03-1.46, P = 0.023) risks. Inverse MR showed that susceptibility to HTP (β = 0.05, 95% CI 0.03-0.07, P = 4.43E - 6) and PL (β = 0.06, 95% CI 0.01-0.11, P = 0.011) was positively correlated with the frailty index, while PTB was positively correlated with PhenoAge (β = 0.24, 95% CI 0.02-0.46, P = 0.035). Our findings suggest a genetic association between the frailty index and susceptibility to GDM, HTP, and PL. Closer monitoring of biological aging indicators during pregnancy may be necessary to prevent APOs.</p>\",\"PeriodicalId\":8909,\"journal\":{\"name\":\"Biogerontology\",\"volume\":\"26 2\",\"pages\":\"56\"},\"PeriodicalIF\":4.4000,\"publicationDate\":\"2025-02-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Biogerontology\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1007/s10522-025-10198-y\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"GERIATRICS & GERONTOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Biogerontology","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1007/s10522-025-10198-y","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"GERIATRICS & GERONTOLOGY","Score":null,"Total":0}
引用次数: 0
摘要
观察性研究表明生物衰老与不良妊娠结局(APOs)之间存在联系,但因果关系尚不清楚。本研究旨在探讨遗传预测的生物衰老性状与apo之间的关系。采用孟德尔随机化(MR)对IEU开放GWAS、FinnGen和meta分析的全基因组关联研究(GWAS)的遗传汇总统计数据进行分析,以推断因果关系。生物衰老指标包括面部衰老、脆弱指数和表观遗传衰老标志物。apo包括妊娠期糖尿病(GDM)、妊娠期高血压疾病(HTP)、早产(PTB)和妊娠丢失(PL)。主要MR分析采用方差反加权法,其次是敏感性分析。采用反向磁共振和多变量磁共振来探讨反向因果关系和潜在的中介效应。我们发现脆弱指数与GDM (OR = 2.00, 95% CI 1.44-2.77, P = 3.41E - 5)、HTP (OR = 2.09, 95% CI 1.33-3.29, P = 0.001)和PL (OR = 1.22, 95% CI 1.03-1.46, P = 0.023)风险呈正相关。反MR显示,HTP (β = 0.05, 95% CI 0.03 ~ 0.07, P = 4.43E - 6)和PL (β = 0.06, 95% CI 0.01 ~ 0.11, P = 0.011)与脆性指数呈正相关,PTB与表型年龄呈正相关(β = 0.24, 95% CI 0.02 ~ 0.46, P = 0.035)。我们的研究结果表明,脆弱指数与GDM、HTP和PL易感性之间存在遗传关联。在怀孕期间密切监测生物老化指标可能是预防apo的必要条件。
Investigating genetic links between biological aging and adverse pregnancy outcomes.
Observational studies suggest a link between biological aging and adverse pregnancy outcomes (APOs), but causal relationships remain unclear. This study aimed to investigate the relationship between genetically predicted biological aging traits and APOs. Genetic summary statistics from the genome-wide association study (GWAS) of the IEU open GWAS, FinnGen, and meta-analysis were analyzed using Mendelian randomization (MR) to infer causality. Biological aging indicators included facial aging, frailty index, and epigenetic aging markers. APOs included gestational diabetes mellitus (GDM), hypertensive disorders of pregnancy (HTP), preterm birth (PTB), and pregnancy loss (PL). The primary MR analyses utilized the inverse variance weighted method, followed by sensitivity analyses. Reverse MR and multivariable MR were employed to explore reverse causality and potential mediating effects. We found that the frailty index was positively associated with GDM (OR = 2.00, 95% CI 1.44-2.77, P = 3.41E - 5), HTP (OR = 2.09, 95% CI 1.33-3.29, P = 0.001), and PL (OR = 1.22, 95% CI 1.03-1.46, P = 0.023) risks. Inverse MR showed that susceptibility to HTP (β = 0.05, 95% CI 0.03-0.07, P = 4.43E - 6) and PL (β = 0.06, 95% CI 0.01-0.11, P = 0.011) was positively correlated with the frailty index, while PTB was positively correlated with PhenoAge (β = 0.24, 95% CI 0.02-0.46, P = 0.035). Our findings suggest a genetic association between the frailty index and susceptibility to GDM, HTP, and PL. Closer monitoring of biological aging indicators during pregnancy may be necessary to prevent APOs.
期刊介绍:
The journal Biogerontology offers a platform for research which aims primarily at achieving healthy old age accompanied by improved longevity. The focus is on efforts to understand, prevent, cure or minimize age-related impairments.
Biogerontology provides a peer-reviewed forum for publishing original research data, new ideas and discussions on modulating the aging process by physical, chemical and biological means, including transgenic and knockout organisms; cell culture systems to develop new approaches and health care products for maintaining or recovering the lost biochemical functions; immunology, autoimmunity and infection in aging; vertebrates, invertebrates, micro-organisms and plants for experimental studies on genetic determinants of aging and longevity; biodemography and theoretical models linking aging and survival kinetics.