表观基因组
疾病
计算生物学
治疗方式
生物标志物
模式
医学
生物信息学
生物标志物发现
鉴定(生物学)
机制(生物学)
生物
微生物群
精密医学
基因组编辑
心理干预
计算机科学
系统生物学
治疗方法
人类疾病
神经科学
重症监护医学
风险分析(工程)
临床表型
基因组学
破译
复杂疾病
作者
Yundong Peng,Rui Li,Huan Li,Jun Zhou,Xuanshi Liu,Guilherme Targino Valente,Tatiana de Campos Melo,Sifan Chen,Lei Gu
出处
期刊:
日期:2026-01-01
卷期号:2 (1): 94-123
被引量:5
摘要
ABSTRACT Aging is orchestrated by interconnected hallmarks such as genomic instability, mitochondrial dysfunction, cellular senescence, and disrupted intercellular communication, which collectively drive chronic disease progression. Recent advances have expanded therapeutic opportunities to include pharmacological agents, gene and epigenome editing, stem cell based interventions, microbiome modulation, and nanomedicine. Artificial intelligence and multi‐omics integration are further accelerating target discovery and patient stratification. This review synthesizes these modalities within a unified framework that explicitly links hallmarks to biomarkers and therapeutic strategies, critically evaluates preclinical versus clinical outcomes, and examines why promising interventions often fail to translate. We propose an integrative model emphasizing biomarker alignment, phenotype stratification, and regulatory adaptation. By embedding mechanistic insights into clinically predictive and patient‐centered designs, this review outlines a roadmap for advancing gerotherapeutics to extend healthspan.
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