Pulse Brain · Growing Health Evidence Index
Tier 3 — Observational / field trialPeer-reviewed

Plasma proteomics identify biomarkers and undulating changes of brain aging

Weishi Liu, Jia You, Shi-Dong Chen, Yi Zhang, Jianfeng Feng, Yuming Xu, Jin‐Tai Yu, Wei Cheng

Nature Aging · 2024

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Summary

This 2024 Nature Aging study used plasma proteomics to identify molecular biomarkers associated with brain aging in human populations. The research suggests that circulating protein signatures may reflect undulating or non-linear patterns of brain ageing, potentially offering tools for early detection or monitoring of neurological ageing processes. The findings contribute to understanding systemic drivers of brain health, though the mechanistic links to dietary or farming-related exposures remain outside the paper's stated scope.

UK applicability

The biomarker identification may inform future screening or preventive health programmes in UK clinical settings, though applicability depends on validation in UK populations and cost-effectiveness for routine use. The work is primarily relevant to clinical neurology and gerontology rather than directly to farming systems or nutrient density.

Key measures

Plasma proteomic profiles; brain aging biomarkers; temporal trajectories of protein expression changes

Outcomes reported

The study identified plasma proteomics signatures and biomarkers associated with brain aging, examining temporal patterns and undulating changes in protein profiles across ageing cohorts.

Theme
Nutrition & health
Subject
Other / interdisciplinary
Study type
Research
Study design
Observational cohort
Source type
Peer-reviewed study
Status
Published
System type
Human clinical
DOI
10.1038/s43587-024-00753-6
Catalogue ID
SNmoj1yhqy-rokj1u

Topic tags

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