Plasma proteomics identify novel biomarkers and dynamic patterns of biological aging.

Ling-Zhi Ma, Wei-Shi Liu, Yu He, Yi Zhang, Jia You, Jian-Feng Feng, Lan Tan, Wei Cheng, Jin-Tai Yu

Department of Neurology and National Center for Neurological Disorders, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, Shanghai, China; Department of Neurology, Qingdao Municipal Hospital, Qingdao University, Qingdao, China.Department of Neurology and National Center for Neurological Disorders, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, Shanghai, China; Department of Neurology, Qingdao Municipal Hospital, Qingdao University, Qingdao, China. · pubmed

Paper

Abstract

Plasma proteomics examines levels of thousands of proteins and has the potential to identify clinical biomarkers for healthy aging.

The following analysis is generated by AI and may contain errors. It is separate from the authors’ abstract and is not peer review.

Research summary

The paper claims to identify novel biomarkers and dynamic patterns of biological aging through plasma proteomics. This research is relevant as it aims to uncover clinical biomarkers that could potentially address the underlying mechanisms of aging rather than merely treating age-related diseases.

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