Skip to main navigation Skip to search Skip to main content

Investigating causal associations among inflammatory proteins, blood metabolites, and Alzheimer’s disease risk

Shuai Liu, Jingjing Zhu, Hua Zhong, Dan Zhou, Quan Long, Zichen Zhang, Xiaochen Yang, Qing Wu, Chao Cheng, Jianyong Wu, Hung N. Luu, Jing Wang, Bingxin Zhao, Chong Wu, Youping Deng, Lang Wu

Research output: Contribution to journalArticlepeer-review

Abstract

Alzheimer’s disease (AD) is a prevalent degenerative neurological disorder with limited treatment options. Prior studies reported specific metabolites and inflammatory proteins to be related to AD risk. However, the intricate relationship between inflammatory proteins, blood metabolites, and AD risk in European population remains unclear. Genetic instruments for 1,091 metabolites and 736 inflammatory proteins were derived from two recent comprehensive genome-wide association studies. Univariable Mendelian Randomization was employed to assess potential causal effects of metabolites on AD risk, potential effects of inflammatory proteins on metabolites, and effects of inflammatory proteins on AD risk. Multivariable MR (MVMR) was further applied to disentangle direct effects of proteins and metabolites on AD. Twelve metabolites were identified to be associated with AD risk, and 226 inflammatory proteins demonstrated likely to be causal effects on these 12 metabolites. Further examining the associations between such inflammatory proteins and AD risk revealed 22 associations for which the effect directions from inflammatory proteins to metabolites, from metabolites to AD risk, and from inflammatory proteins to AD risk were aligned, suggesting inflammatory protein - metabolite - AD risk pathway. MVMR further highlighted four trios in which the effect directions were consistent with the UVMR results, supporting a metabolite‑mediated pattern. This large‑scale genetic analysis highlights specific metabolites as direct contributors to AD risk and suggests that certain inflammatory proteins may influence AD primarily through downstream metabolic pathways. Our findings offer potential novel therapeutic targets for AD intervention.

Original languageEnglish (US)
Article number491
JournalBMC Psychiatry
Volume26
Issue number1
DOIs
StatePublished - May 4 2026

Keywords

  • Alzheimer’s disease
  • Mendelian Randomization
  • Metabolites
  • Proteins
  • Genome-Wide Association Study
  • Alzheimer Disease/genetics
  • Humans
  • Risk Factors
  • Mendelian Randomization Analysis
  • Inflammation/genetics
  • Blood Proteins/metabolism

ASJC Scopus subject areas

  • Psychiatry and Mental health

Fingerprint

Dive into the research topics of 'Investigating causal associations among inflammatory proteins, blood metabolites, and Alzheimer’s disease risk'. Together they form a unique fingerprint.

Cite this