Lin Biying, Mu Yuzhu, Ding Zhongxiang
Department of Radiology, Affiliated Hangzhou First People's Hospital, Zhejiang University School of Medicine, 261 Huansha Rd., Hangzhou 310006, China.
Department of Radiology, The Fourth School of Clinical Medicine, Zhejiang Chinese Medical University, Hangzhou 310006, China.
Biology (Basel). 2023 Apr 27;12(5):660. doi: 10.3390/biology12050660.
Biological aging biomarkers, such as leukocyte telomere length (LTL) and epigenetic clocks, have been associated with the risk of cerebral small vessel disease (CSVD) in several observational studies. However, it is unclear whether LTL or epigenetic clocks play causal roles as prognostic biomarkers in the development of CSVD. We performed a Mendelian randomization (MR) study of LTL and four epigenetic clocks on ten subclinical and clinical CSVD measures. We obtained genome-wide association (GWAS) data for LTL from the UK Biobank (N = 472,174). Data on epigenetic clocks were derived from a meta-analysis (N = 34,710), and CSVD data (N cases =1293-18,381; N controls = 25,806-105,974) were extracted from the Cerebrovascular Disease Knowledge Portal. We found that genetically determined LTL and epigenetic clocks were not individually associated with ten measures of CSVD (IVW > 0.05), and this result was consistent across sensitivity analyses. Our findings imply that LTL and epigenetic clocks may not help in predicting CSVD development as causal prognostic biomarkers. Further studies are needed to illustrate the potential of reverse biological aging in serving as an effective form of preventive therapy for CSVD.
在多项观察性研究中,生物衰老生物标志物,如白细胞端粒长度(LTL)和表观遗传时钟,已与脑小血管疾病(CSVD)的风险相关联。然而,尚不清楚LTL或表观遗传时钟在CSVD发展过程中作为预后生物标志物是否发挥因果作用。我们针对LTL和四个表观遗传时钟对十种亚临床和临床CSVD指标进行了孟德尔随机化(MR)研究。我们从英国生物银行(N = 472,174)获得了LTL的全基因组关联(GWAS)数据。表观遗传时钟的数据来自一项荟萃分析(N = 34,710),CSVD数据(病例数N = 1293 - 18,381;对照数N = 25,806 - 105,974)从脑血管疾病知识门户中提取。我们发现,基因决定的LTL和表观遗传时钟与十种CSVD指标均无个体关联(逆方差加权法IVW>0.05),且该结果在敏感性分析中保持一致。我们的研究结果表明,LTL和表观遗传时钟可能无助于作为因果预后生物标志物预测CSVD的发展。需要进一步研究来说明逆转生物衰老作为CSVD有效预防治疗形式的潜力。