Epigenetic and Proteomic Biomarkers of Elevated Alcohol Use Predict Epigenetic Aging and Cell-Type variation Better Than Self-Report.

Epigenetic and Proteomic Biomarkers of Elevated Alcohol Use Predict Epigenetic Aging and Cell-Type variation Better Than Self-Report.
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DOI:
10.3390/genes13101888
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发表时间:
2022-10-18
期刊:
影响因子:
3.5
通讯作者:
Philibert, Robert A.
Philibert, Robert A.
中科院分区:
生物学3区
文献类型:
--
作者:
Beach, Steven R. H.;Ong, Mei Ling;Gibbons, Frederick X.;Gerrard, Meg;Lei, Man-Kit;Dawes, Kelsey;Philibert, Robert A.

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过量饮酒(EAC)对发病率和死亡率有普遍接受的影响,结果被认为反映在表观遗传衰老(EA)的措施。由于自我报告的EAC与EA的关联与这些预期不一致,因此需要易于使用的非自我报告工具来准确评估和监测EAC对加速EA的贡献,新开发的酒精消费DNA甲基化指数,如酒精T评分(ATS)和甲基检测(MDR)可能会有所帮助。为了验证这一假设,我们使用这些新的指标沿着的碳水化合物缺乏转铁蛋白(CDT),同时以及过去的自我报告的EAC,以及完善的措施吸烟检查EAC的关系,以加速EA和免疫细胞计数在一个队列的437名年轻的美国黑人成年人。我们发现,MDR,CDT和ATS是相互关联的,即使在控制性别和可替宁的影响。EA和自我报告的EAC之间的相关性较低或不显着,复制以前的研究,而与非自我报告指数的相关性显着,更实质性。比较非自我报告的指标表明,ATS预测的EA,CDT4细胞和B细胞的MDR和CDT的方差超过4倍,更好地预测加速EA的指标。我们的结论是,每个非自我报告指数对与酒精相关的关键健康结果具有不同的预测能力,并且ATS对于寻求了解和预防加速EA的临床医生可能特别有用。结果还强调,当使用自我报告时,有问题的使用可能会被大大低估,并且与EA和细胞类型差异的相关性会降低。
Excessive alcohol consumption (EAC) has a generally accepted effect on morbidity and mortality, outcomes thought to be reflected in measures of epigenetic aging (EA). As the association of self-reported EAC with EA has not been consistent with these expectations, underscoring the need for readily employable non-self-report tools for accurately assessing and monitoring the contribution of EAC to accelerated EA, newly developed alcohol consumption DNA methylation indices, such as the Alcohol T Score (ATS) and Methyl DetectR (MDR), may be helpful. To test that hypothesis, we used these new indices along with the carbohydrate deficient transferrin (CDT), concurrent as well as past self-reports of EAC, and well-established measures of cigarette smoking to examine the relationship of EAC to both accelerated EA and immune cell counts in a cohort of 437 young Black American adults. We found that MDR, CDT, and ATS were intercorrelated, even after controlling for gender and cotinine effects. Correlations between EA and self-reported EAC were low or non-significant, replicating prior research, whereas correlations with non-self-report indices were significant and more substantial. Comparing non-self-report indices showed that the ATS predicted more than four times as much variance in EA, CDT4 cells and B-cells as for both the MDR and CDT, and better predicted indices of accelerated EA. We conclude that each of the non-self-report indices have differing predictive capacities with respect to key alcohol-related health outcomes, and that the ATS may be particularly useful for clinicians seeking to understand and prevent accelerated EA. The results also underscore the likelihood of substantial underestimates of problematic use when self-report is used and a reduction in correlations with EA and variance in cell-types.
全基因组甲基化谱揭示了人类衰老速度的定量观点。
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