Plasma proteomics identify biomarkers and undulating changes of brain aging

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 × 10−10) and growth differentiation factor 15 (β = 0.825, P = 3.48 × 10−11) 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. Using proteomics and imaging data from UK Biobank, the authors identified multiple circulating proteins associated with brain aging and discovered undulating age-related changes in the plasma proteome, with peaks occurring at 57, 70 and 78 years of age.