Novel serum metabolites associate with cognition phenotypes among Bogalusa Heart Study participants

Mengyao Shi, Lydia A. Bazzano, Jiang He, Xiaoying Gu, Changwei Li, Shengxu Li, Kristine Yaffe, Jason M. Kinchen, Patrick Stuchlik, Xuenan Mi, Jovia L. Nierenberg, Alexander C. Razavi, Tanika N. Kelly

Research output: Contribution to journalArticlepeer-review

11 Scopus citations

Abstract

Background: Metabolomics study provides an opportunity to identify novel molecular determinants of altered cognitive function. Methods: During 2013 to 2016 Bogalusa Heart Study (BHS) visit, 1,177 participants underwent untargeted, ultrahigh performance liquid chromatography-tandem mass spectroscopy metabolomics profiling. Global cognition and five cognition domains were also assessed. The cross-sectional associations of single metabolites with cognition were tested using multiple linear regression models. Weighted correlation network analysis was used to examine the covariable-adjusted correlations of modules of co-abundant metabolites with cognition. Analyses were conducted in the overall sample and according to both ethnicity and sex. Results: Five known metabolites and two metabolite modules robustly associated with cognition across overall and stratified analyses. Two metabolites were from lipid sub-pathways including fatty acid metabolism [9-hydroxystearate; minimum P-value (min-P)=1.11×10-5], and primary bile acid metabolism (glyco-alpha-muricholate; min-P=4.10×10-5). One metabolite from the glycogen metabolism sub-pathway (maltose; min-P=9.77×10-6), one from the polyamine metabolism sub-pathway (N-acetyl-isoputreanine; min-P=1.03×10-5), and one from the purine metabolism sub-pathway (7-methylguanine; min-P=1.19×10-5) were also identified. Two metabolite modules reflecting bile acid metabolism and androgenic steroids correlated with cognition (min-P=5.00×10-4 and 3.00×10-3, respectively). Conclusion: The novel associations of 5 known metabolites and 2 metabolite modules with cognition provide insights into the physiological mechanisms regulating cognitive function.

Original languageEnglish (US)
Pages (from-to)5124-5139
Number of pages16
JournalAging
Volume11
Issue number14
DOIs
StatePublished - 2019

Keywords

  • Alzheimer's disease
  • Cognition
  • Dementia
  • Metabolite network
  • Metabolomics

ASJC Scopus subject areas

  • Aging
  • Cell Biology

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