Department of Dermatology, Xiangya Hospital, Central South University, Changsha, China.
Hunan Key Laboratory of Aging Biology, Xiangya Hospital, Central South University, Changsha, China.
Aging Cell. 2024 Jul;23(7):e14171. doi: 10.1111/acel.14171. Epub 2024 Apr 4.
Aging represents a multifaceted process culminating in the deterioration of biological functions. Despite the introduction of numerous anti-aging strategies, their therapeutic outcomes have often been less than optimal. Consequently, discovering new targets to mitigate aging effects is of critical importance. We applied Mendelian randomization (MR) to identify potential pharmacological targets against aging, drawing upon summary statistics from both the Decode and FinnGen cohorts, with further validation in an additional cohort. To address potential reverse causality, bidirectional MR analysis with Steiger filtering was utilized. Additionally, Bayesian co-localization and phenotype scanning were implemented to investigate previous associations between genetic variants and traits. Summary-data-based Mendelian randomization (SMR) analysis was conducted to assess the impact of genetic variants on aging via their effects on protein expression. Additionally, mediation analysis was orchestrated to uncover potential intermediaries in these associations. Finally, we probed the systemic implications of drug-target protein expression across diverse indications by MR-PheWas analysis. Utilizing a Bonferroni-corrected threshold, our MR examination identified 10 protein-aging associations. Within this cohort of proteins, MST1, LCT, GMPR2, PSMB4, ECM1, EFEMP1, and ISLR2 appear to exacerbate aging risks, while MAX, B3GNT8, and USP8 may exert protective influences. None of these proteins displayed reverse causality except EFEMP1. Bayesian co-localization inferred shared variants between aging and proteins such as B3GNT8 (rs11670143), ECM1 (rs61819393), and others listed. Mediator analysis pinpointed 1,5-anhydroglucitol as a partial intermediary in the influence LCT exhibits on telomere length. Circulating proteins play a pivotal role in influencing the aging process, making them promising candidates for therapeutic intervention. The implications of these proteins in aging warrant further investigation in future clinical research.
衰老是一个多方面的过程,最终导致生物功能的恶化。尽管已经提出了许多抗衰老策略,但它们的治疗效果往往并不理想。因此,发现新的靶点来减轻衰老的影响是至关重要的。我们应用孟德尔随机化(MR)来识别潜在的抗衰靶标,利用来自 Decode 和 FinnGen 队列的汇总统计数据,并在另一个队列中进行了进一步验证。为了解决潜在的反向因果关系,我们使用双向 MR 分析和 Steiger 过滤。此外,还进行了贝叶斯共定位和表型扫描,以研究遗传变异与表型之间以前的关联。基于汇总数据的孟德尔随机化(SMR)分析用于评估遗传变异通过对蛋白质表达的影响对衰老的影响。此外,还进行了中介分析,以揭示这些关联中的潜在中介。最后,我们通过 MR-PheWas 分析探究了药物靶标蛋白表达在不同适应症中的系统影响。利用 Bonferroni 校正阈值,我们的 MR 研究鉴定了 10 个蛋白质衰老关联。在这个蛋白质队列中,MST1、LCT、GMPR2、PSMB4、ECM1、EFEMP1 和 ISLR2 似乎会加剧衰老风险,而 MAX、B3GNT8 和 USP8 可能会产生保护作用。除了 EFEMP1 之外,这些蛋白质都没有显示出反向因果关系。贝叶斯共定位推断出衰老和蛋白质之间存在共享变异,如 B3GNT8(rs11670143)、ECM1(rs61819393)和其他列出的蛋白质。中介分析指出 1,5-脱水葡萄糖醇是 LCT 对端粒长度影响的部分中介。循环蛋白在影响衰老过程中起着关键作用,使它们成为治疗干预的有前途的候选物。这些蛋白质在衰老中的意义值得在未来的临床研究中进一步研究。