L Raffington, T Schwaba, M Aikins, D Richter, G G Wagner, K P Harden, D W Belsky, E M Tucker-Drob
{"title":"社会经济差异与口腔 DNA 甲基化生物老化测量的关联。","authors":"L Raffington, T Schwaba, M Aikins, D Richter, G G Wagner, K P Harden, D W Belsky, E M Tucker-Drob","doi":"10.1186/s13148-023-01489-7","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Individuals who are socioeconomically disadvantaged are at increased risk for aging-related diseases and perform less well on tests of cognitive function. The weathering hypothesis proposes that these disparities in physical and cognitive health arise from an acceleration of biological processes of aging. Theories of how life adversity is biologically embedded identify epigenetic alterations, including DNA methylation (DNAm), as a mechanistic interface between the environment and health. Consistent with the weathering hypothesis and theories of biological embedding, recently developed DNAm algorithms have revealed profiles reflective of more advanced aging and lower cognitive function among socioeconomically-at-risk groups. These DNAm algorithms were developed using blood-DNA, but social and behavioral science research commonly collect saliva or cheek-swab DNA. This discrepancy is a potential barrier to research to elucidate mechanisms through which socioeconomic disadvantage affects aging and cognition. We therefore tested if social gradients observed in blood DNAm measures could be reproduced using buccal-cell DNA obtained from cheek swabs.</p><p><strong>Results: </strong>We analyzed three DNAm measures of biological aging and one DNAm measure of cognitive performance, all of which showed socioeconomic gradients in previous studies: the PhenoAge and GrimAge DNAm clocks, DunedinPACE, and Epigenetic-g. We first computed blood-buccal cross-tissue correlations in n = 21 adults (GEO111165). Cross-tissue correlations were low-to-moderate (r = .25 to r = .48). We next conducted analyses of socioeconomic gradients using buccal DNAm data from SOEP-G (n = 1128, 57% female; age mean = 42 yrs, SD = 21.56, range 0-72). Associations of socioeconomic status with DNAm measures of aging were in the expected direction, but were smaller as compared to reports from blood DNAm datasets (r = - .08 to r = - .13).</p><p><strong>Conclusions: </strong>Our findings are consistent with the hypothesis that socioeconomic disadvantage is associated with DNAm indicators of worse physical health. However, relatively low cross-tissue correlations and attenuated effect sizes for socioeconomic gradients in buccal DNAm compared with reports from analysis of blood DNAm suggest that in order to take full advantage of buccal DNA samples, DNAm algorithms customized to buccal DNAm are needed.</p>","PeriodicalId":48652,"journal":{"name":"Clinical Epigenetics","volume":null,"pages":null},"PeriodicalIF":5.7000,"publicationDate":"2023-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10148429/pdf/","citationCount":"0","resultStr":"{\"title\":\"Associations of socioeconomic disparities with buccal DNA-methylation measures of biological aging.\",\"authors\":\"L Raffington, T Schwaba, M Aikins, D Richter, G G Wagner, K P Harden, D W Belsky, E M Tucker-Drob\",\"doi\":\"10.1186/s13148-023-01489-7\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>Individuals who are socioeconomically disadvantaged are at increased risk for aging-related diseases and perform less well on tests of cognitive function. The weathering hypothesis proposes that these disparities in physical and cognitive health arise from an acceleration of biological processes of aging. Theories of how life adversity is biologically embedded identify epigenetic alterations, including DNA methylation (DNAm), as a mechanistic interface between the environment and health. Consistent with the weathering hypothesis and theories of biological embedding, recently developed DNAm algorithms have revealed profiles reflective of more advanced aging and lower cognitive function among socioeconomically-at-risk groups. These DNAm algorithms were developed using blood-DNA, but social and behavioral science research commonly collect saliva or cheek-swab DNA. This discrepancy is a potential barrier to research to elucidate mechanisms through which socioeconomic disadvantage affects aging and cognition. We therefore tested if social gradients observed in blood DNAm measures could be reproduced using buccal-cell DNA obtained from cheek swabs.</p><p><strong>Results: </strong>We analyzed three DNAm measures of biological aging and one DNAm measure of cognitive performance, all of which showed socioeconomic gradients in previous studies: the PhenoAge and GrimAge DNAm clocks, DunedinPACE, and Epigenetic-g. We first computed blood-buccal cross-tissue correlations in n = 21 adults (GEO111165). Cross-tissue correlations were low-to-moderate (r = .25 to r = .48). We next conducted analyses of socioeconomic gradients using buccal DNAm data from SOEP-G (n = 1128, 57% female; age mean = 42 yrs, SD = 21.56, range 0-72). Associations of socioeconomic status with DNAm measures of aging were in the expected direction, but were smaller as compared to reports from blood DNAm datasets (r = - .08 to r = - .13).</p><p><strong>Conclusions: </strong>Our findings are consistent with the hypothesis that socioeconomic disadvantage is associated with DNAm indicators of worse physical health. However, relatively low cross-tissue correlations and attenuated effect sizes for socioeconomic gradients in buccal DNAm compared with reports from analysis of blood DNAm suggest that in order to take full advantage of buccal DNA samples, DNAm algorithms customized to buccal DNAm are needed.</p>\",\"PeriodicalId\":48652,\"journal\":{\"name\":\"Clinical Epigenetics\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":5.7000,\"publicationDate\":\"2023-04-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10148429/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Clinical Epigenetics\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1186/s13148-023-01489-7\",\"RegionNum\":2,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"Medicine\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Clinical Epigenetics","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1186/s13148-023-01489-7","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"Medicine","Score":null,"Total":0}
引用次数: 0
摘要
背景:社会经济条件较差的人罹患衰老相关疾病的风险较高,在认知功能测试中的表现也较差。风化假说认为,这些身体和认知健康方面的差异源于衰老生物过程的加速。关于生活逆境如何在生物学上嵌入的理论认为,包括 DNA 甲基化(DNAm)在内的表观遗传学改变是环境与健康之间的机理界面。与风化假说和生物嵌入理论相一致的是,最近开发的 DNAm 算法揭示了社会经济高危群体中衰老程度更高、认知功能更低的特征。这些 DNAm 算法是利用血液 DNA 开发的,但社会和行为科学研究通常收集唾液或颊拭子 DNA。这种差异是研究阐明社会经济劣势影响衰老和认知的机制的潜在障碍。因此,我们测试了从血液DNAm测量中观察到的社会梯度是否可以用从颊拭子中获得的颊细胞DNA重现:我们分析了三种生物衰老 DNAm 测量方法和一种认知能力 DNAm 测量方法,这些方法在之前的研究中都显示出了社会经济梯度:PhenoAge 和 GrimAge DNAm 时钟、DunedinPACE 和 Epigenetic-g。我们首先计算了 n = 21 名成年人(GEO111165)的血液-口腔跨组织相关性。跨组织相关性从低到中等(r = .25 到 r = .48)。接下来,我们利用 SOEP-G 的口腔 DNAm 数据(n = 1128,57% 为女性;平均年龄 = 42 岁,SD = 21.56,范围 0-72)对社会经济梯度进行了分析。社会经济地位与DNAm老化测量结果的相关性符合预期方向,但与血液DNAm数据集的报告相比(r = - .08 to r = - .13)较小:我们的研究结果与社会经济劣势与身体健康状况恶化的 DNAm 指标相关的假设是一致的。然而,与血液DNAm分析报告相比,口腔DNAm的跨组织相关性相对较低,且社会经济梯度的效应大小较小,这表明为了充分利用口腔DNA样本,需要针对口腔DNAm定制DNAm算法。
Associations of socioeconomic disparities with buccal DNA-methylation measures of biological aging.
Background: Individuals who are socioeconomically disadvantaged are at increased risk for aging-related diseases and perform less well on tests of cognitive function. The weathering hypothesis proposes that these disparities in physical and cognitive health arise from an acceleration of biological processes of aging. Theories of how life adversity is biologically embedded identify epigenetic alterations, including DNA methylation (DNAm), as a mechanistic interface between the environment and health. Consistent with the weathering hypothesis and theories of biological embedding, recently developed DNAm algorithms have revealed profiles reflective of more advanced aging and lower cognitive function among socioeconomically-at-risk groups. These DNAm algorithms were developed using blood-DNA, but social and behavioral science research commonly collect saliva or cheek-swab DNA. This discrepancy is a potential barrier to research to elucidate mechanisms through which socioeconomic disadvantage affects aging and cognition. We therefore tested if social gradients observed in blood DNAm measures could be reproduced using buccal-cell DNA obtained from cheek swabs.
Results: We analyzed three DNAm measures of biological aging and one DNAm measure of cognitive performance, all of which showed socioeconomic gradients in previous studies: the PhenoAge and GrimAge DNAm clocks, DunedinPACE, and Epigenetic-g. We first computed blood-buccal cross-tissue correlations in n = 21 adults (GEO111165). Cross-tissue correlations were low-to-moderate (r = .25 to r = .48). We next conducted analyses of socioeconomic gradients using buccal DNAm data from SOEP-G (n = 1128, 57% female; age mean = 42 yrs, SD = 21.56, range 0-72). Associations of socioeconomic status with DNAm measures of aging were in the expected direction, but were smaller as compared to reports from blood DNAm datasets (r = - .08 to r = - .13).
Conclusions: Our findings are consistent with the hypothesis that socioeconomic disadvantage is associated with DNAm indicators of worse physical health. However, relatively low cross-tissue correlations and attenuated effect sizes for socioeconomic gradients in buccal DNAm compared with reports from analysis of blood DNAm suggest that in order to take full advantage of buccal DNA samples, DNAm algorithms customized to buccal DNAm are needed.
Clinical EpigeneticsBiochemistry, Genetics and Molecular Biology-Developmental Biology
CiteScore
8.90
自引率
5.30%
发文量
150
审稿时长
12 weeks
期刊介绍:
Clinical Epigenetics, the official journal of the Clinical Epigenetics Society, is an open access, peer-reviewed journal that encompasses all aspects of epigenetic principles and mechanisms in relation to human disease, diagnosis and therapy. Clinical trials and research in disease model organisms are particularly welcome.