Decoding sexually dimorphic proteomic landscapes in the context of aging and mortality.

Zhihao Jin, Bingying Du, Xuehao Jiao, Zhengsheng Gu, Tianren Wang, Li Cao, Xiaoying Bi, Lei Yuan, Bo Peng, Yanxia Rao

Department of Neurology, Zhongshan Hospital, Laboratory Animal Center, Fudan University, Shanghai, China.Department of Neurology, Zhongshan Hospital, Laboratory Animal Center, Fudan University, Shanghai, China. · pubmed

Paper

Abstract

Aging-associated changes are major contributors to the onset and progression of chronic diseases. Different aging clocks have been developed to assess biological aging, demonstrating their utility in predicting mortality, diagnosing disease, and evaluating the efficacy of antiaging interventions. However, the protein profile underlying the accelerating or decelerating rates of aging, hidden behind aging clocks, remains poorly understood.

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Research summary

The paper investigates the sexually dimorphic proteomic landscapes associated with aging and mortality. This research is relevant as it aims to uncover the underlying biological mechanisms of aging, which could contribute to understanding and potentially mitigating age-related decline.

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