Plasma proteomics identify biomarkers and undulating changes of brain aging.

Wei-Shi Liu, Jia You, Shi-Dong Chen, Yi Zhang, Jian-Feng Feng, Yu-Ming Xu, Jin-Tai Yu, Wei Cheng

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

Paper

Abstract

Proteomics enables the characterization of brain aging biomarkers and discernment of changes during brain aging. We leveraged multimodal brain imaging data from 10,949 healthy adults to estimate brain age gap (BAG), an indicator of brain aging. Proteome-wide association analysis across 4,696 participants of 2,922 proteins identified 13 significantly associated with BAG, implicating stress, regeneration and inflammation. Brevican (BCAN) (β = -0.838, P = 2.63 × 10

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Research summary

The paper investigates biomarkers associated with brain aging and identifies specific proteins linked to brain age gap (BAG), which is relevant to understanding the biological processes of aging. However, while it provides solid research on the associations between proteomics and brain aging, it does not directly address the root causes of aging or propose mechanisms for lifespan extension, limiting its overall impact in the field of longevity research.

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