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血浆蛋白质组学可识别脑衰老的生物标志物及波动变化。

Plasma proteomics identify biomarkers and undulating changes of brain aging.

作者信息

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

机构信息

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.

Institute of Science and Technology for Brain-inspired Intelligence, Fudan University, Shanghai, China.

出版信息

Nat Aging. 2025 Jan;5(1):99-112. doi: 10.1038/s43587-024-00753-6. Epub 2024 Dec 9.

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) and growth differentiation factor 15 (β = 0.825, P = 3.48 × 10) showed the most significant, and multiple, associations with dementia, stroke and movement functions. Dysregulation of BCAN affected multiple cortical and subcortical structures. Mendelian randomization supported the causal association between BCAN and BAG. We revealed undulating changes in the plasma proteome across brain aging, and profiled brain age-related change peaks at 57, 70 and 78 years, implicating distinct biological pathways during brain aging. Our findings revealed the plasma proteomic landscape of brain aging and pinpointed biomarkers for brain disorders.

摘要

蛋白质组学能够对脑衰老生物标志物进行表征,并识别脑衰老过程中的变化。我们利用来自10949名健康成年人的多模态脑成像数据来估计脑年龄差距(BAG),这是脑衰老的一个指标。对2922种蛋白质的4696名参与者进行全蛋白质组关联分析,确定了13种与BAG显著相关的蛋白质,涉及应激、再生和炎症。短蛋白聚糖(BCAN)(β = -0.838,P = 2.63×10)和生长分化因子15(β = 0.825,P = 3.48×10)与痴呆、中风和运动功能表现出最显著且多样的关联。BCAN的失调影响了多个皮质和皮质下结构。孟德尔随机化支持BCAN与BAG之间的因果关联。我们揭示了整个脑衰老过程中血浆蛋白质组的波动变化,并描绘出与脑年龄相关的变化峰值出现在57岁、70岁和78岁,这意味着脑衰老过程中有不同的生物学途径。我们的研究结果揭示了脑衰老的血浆蛋白质组图谱,并确定了脑部疾病的生物标志物。

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