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

Multiplex cerebrospinal fluid proteomics identifies biomarkers for diagnosis and prediction of Alzheimer’s disease

Yu Guo, Shi-Dong Chen, Jia You, Shu-Yi Huang, Yilin Chen, Yi Zhang, Linbo Wang, Xiao‐Yu He, Yue‐Ting Deng, Ya-Ru Zhang, Yuyuan Huang, Qiang Dong, Jianfeng Feng, Wei Cheng, Jin‐Tai Yu

Nature Human Behaviour · 2024

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Summary

This 2024 study employed multiplex proteomics of cerebrospinal fluid to identify protein biomarkers for Alzheimer's disease diagnosis and prediction of cognitive decline. The findings suggest that specific CSF protein signatures may improve early detection and risk stratification for dementia. The work contributes to emerging neurobiological understanding of Alzheimer's aetiology, though direct links to dietary and farming-system interventions remain indirect.

Regional applicability

The biomarkers identified could support clinical diagnosis in UK dementia services, though implementation would require integration into existing NHS diagnostic pathways and specialist centres. The findings do not directly address UK agricultural or nutritional policy, but may inform future research on dietary factors and neuroinflammatory mechanisms in dementia prevention.

Key measures

CSF protein biomarkers; cognitive decline trajectories; diagnostic accuracy; prognostic performance; receiver operating characteristic (ROC) curves

Outcomes reported

The study identified multiplex cerebrospinal fluid (CSF) protein biomarkers for Alzheimer's disease diagnosis and prediction of cognitive decline. Proteomic profiling was used to distinguish Alzheimer's disease cases from controls and to forecast progression in at-risk populations.

Theme
Nutrition & health
Subject
Other / interdisciplinary
Study type
Research
Study design
Observational cohort
Source type
Peer-reviewed study
Status
Published
Geography
International
System type
Human clinical
DOI
10.1038/s41562-024-01924-6
Catalogue ID
SNmoj1yhqy-u0e2ht

Topic tags

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