Clinical Genetics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, 20892, USA.
Cancer Genomics Research Laboratory, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, 20892, USA.
Geroscience. 2022 Jun;44(3):1861-1869. doi: 10.1007/s11357-022-00586-4. Epub 2022 May 18.
Telomere length (TL) and DNA methylation-based epigenetic clocks are markers of biological age, but the relationship between the two is not fully understood. Here, we used multivariable regression models to evaluate the relationships between leukocyte TL (LTL; measured by qPCR [n = 635] or flow FISH [n = 144]) and five epigenetic clocks (Hannum, DNAmAge pan-tissue, PhenoAge, SkinBlood, or GrimAge clocks), or their epigenetic age acceleration measures in healthy adults (age 19-61 years). LTL showed statistically significant negative correlations with all clocks (qPCR: r = - 0.26 to - 0.32; flow FISH: r = - 0.34 to - 0.49; p < 0.001 for all). Yet, models adjusted for age, sex, and race revealed significant associations between three of five clocks (PhenoAge, GrimAge, and Hannum clocks) and LTL by flow FISH (p < 0.01 for all) or qPCR (p < 0.001 for all). Significant associations between age acceleration measures for the same three clocks and qPCR or flow FISH TL were also found (p < 0.01 for all). Additionally, LTL (by qPCR or flow FISH) showed significant associations with extrinsic epigenetic age acceleration (EEAA: p < 0.0001 for both), but not intrinsic epigenetic age acceleration (IEAA; p > 0.05 for both). In conclusion, the relationships between LTL and epigenetic clocks were limited to clocks reflecting phenotypic age. The observed association between LTL and EEAA reflects the ability of both measures to detect immunosenescence. The observed modest correlations between LTL and epigenetic clocks highlight a possible benefit from incorporating both measures in understanding disease etiology and prognosis.
端粒长度 (TL) 和基于 DNA 甲基化的表观遗传时钟是生物年龄的标志物,但两者之间的关系尚不完全清楚。在这里,我们使用多变量回归模型来评估白细胞 TL(通过 qPCR [n=635] 或流式细胞 FISH [n=144] 测量)与五个表观遗传时钟(Hannum、DNAmAge 多组织、PhenoAge、SkinBlood 或 GrimAge 时钟)之间的关系,或它们在健康成年人(年龄 19-61 岁)中的表观遗传年龄加速测量值。TL 与所有时钟均呈统计学显著负相关(qPCR:r=-0.26 至-0.32;流式细胞 FISH:r=-0.34 至-0.49;p<0.001)。然而,调整年龄、性别和种族的模型显示,五个时钟中的三个(PhenoAge、GrimAge 和 Hannum 时钟)与流式细胞 FISH (p<0.01 所有)或 qPCR (p<0.001 所有)的 TL 之间存在显著关联。还发现相同三个时钟的年龄加速测量值与 qPCR 或流式细胞 FISH TL 之间存在显著关联(p<0.01 所有)。此外,TL(通过 qPCR 或流式细胞 FISH)与外在表观遗传年龄加速(EEAA;p<0.0001 所有)显著相关,但与内在表观遗传年龄加速(IEAA;p>0.05 所有)不相关。总之,TL 与表观遗传时钟之间的关系仅限于反映表型年龄的时钟。TL 与 EEAA 之间的观察到的关联反映了这两种测量方法都能够检测免疫衰老。TL 与表观遗传时钟之间观察到的适度相关性突出了在理解疾病病因和预后方面同时纳入这两种测量方法的可能益处。