Perlstein Tyler A, Jung Jeesun, Wagner Alexandra C, Reitz Joshua, Wagner Josephin, Rosoff Daniel B, Lohoff Falk W
Section on Clinical Genomics and Experimental Therapeutics, National Institute on Alcohol Abuse and Alcoholism, National Institutes of Health, Bethesda, Maryland, USA.
NIH Oxford-Cambridge Scholars Program, Radcliffe Department of Medicine, University of Oxford, Oxford, UK.
Alcohol Clin Exp Res (Hoboken). 2025 Apr;49(4):829-842. doi: 10.1111/acer.70020. Epub 2025 Mar 28.
Chronic heavy alcohol use is a major risk factor for premature aging and age-related diseases. DNA methylation (DNAm)-based epigenetic clocks are novel tools for predicting biological age. However, the newest configurations, causality-enriched epigenetic clocks, have not been assessed in the context of alcohol consumption and alcohol use disorder (AUD).
Epigenetic aging was evaluated in a sample of 615 individuals (372 AUD patients and 243 healthy controls) by applying the GrimAge Version 1 (V1) and Version 2 (V2) clocks alongside three causality-enriched clocks (CausAge, DamAge, and AdaptAge). A linear model controlling for AUD diagnosis, sex, race, BMI, smoking status, and five blood cell types was leveraged to test associations between alcohol-related metrics and age-adjusted epigenetic clocks.
GrimAge V1 and V2 maintained significant associations with AUD and drinking behavior measures within the total sample and both the young (<40 years old) and old (≥40 years old) subgroups. Generally, GrimAge V2 slightly outperformed GrimAge V1, while none of the causality-enriched epigenetic clocks demonstrated significant associations with AUD. However, in the young subgroup, DamAge had a significant association with the total number of drinks. Across the total sample and age subgroups, with liver function enzymes, GrimAge V2 consistently sustained stronger associations compared with GrimAge V1. Among fourth-generation clocks, DamAge exhibited significant associations with gamma-glutamyl transferase (GGT) and aspartate aminotransferase in the total sample and young subgroup; CausAge displayed a significant association with GGT in the total sample. Examining clinical biomarkers, GrimAge V2 showed improved associations with C-reactive protein compared to GrimAge V1 in the total sample and age subgroups.
Overall, we observed moderately improved performance of GrimAge V2 compared with GrimAge V1 with the majority of the parameters tested. The causality-enriched epigenetic clocks lacked significant associations but demonstrate the complexities of aging and inspire further research of AUD and drinking dynamics.
长期大量饮酒是过早衰老和与年龄相关疾病的主要危险因素。基于DNA甲基化(DNAm)的表观遗传时钟是预测生物年龄的新工具。然而,最新的配置,即因果关系丰富的表观遗传时钟,尚未在酒精消费和酒精使用障碍(AUD)的背景下进行评估。
通过应用GrimAge版本1(V1)和版本2(V2)时钟以及三个因果关系丰富的时钟(CausAge、DamAge和AdaptAge),对615名个体(372名AUD患者和243名健康对照)的样本进行表观遗传衰老评估。利用一个控制AUD诊断、性别、种族、BMI、吸烟状况和五种血细胞类型的线性模型来测试酒精相关指标与年龄调整后的表观遗传时钟之间的关联。
在总样本以及年轻(<40岁)和老年(≥40岁)亚组中,GrimAge V1和V2与AUD和饮酒行为指标保持显著关联。一般来说,GrimAge V2的表现略优于GrimAge V1,而因果关系丰富的表观遗传时钟均未显示与AUD有显著关联。然而,在年轻亚组中,DamAge与饮酒总量有显著关联。在总样本和年龄亚组中,与肝功能酶相比,GrimAge V2与GrimAge V1相比始终保持更强的关联。在第四代时钟中,DamAge在总样本和年轻亚组中与γ-谷氨酰转移酶(GGT)和天冬氨酸转氨酶有显著关联;CausAge在总样本中与GGT有显著关联。在检查临床生物标志物时,在总样本和年龄亚组中,GrimAge V2与C反应蛋白的关联比GrimAge V1有所改善。
总体而言,在大多数测试参数方面,我们观察到GrimAge V2与GrimAge V1相比性能有适度改善。因果关系丰富的表观遗传时钟缺乏显著关联,但显示了衰老的复杂性,并激发了对AUD和饮酒动态的进一步研究。