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Association of the Gut Microbiota With Cognitive Function in Midlife.
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- Author(s): Meyer K;Meyer K;Meyer K; Lulla A; Lulla A; Debroy K; Debroy K; Shikany JM; Shikany JM; Yaffe K; Yaffe K; Meirelles O; Meirelles O; Launer LJ; Launer LJ
- Source:
JAMA network open [JAMA Netw Open] 2022 Feb 01; Vol. 5 (2), pp. e2143941. Date of Electronic Publication: 2022 Feb 01.- Publication Type:
Comparative Study; Journal Article; Research Support, N.I.H., Extramural; Research Support, N.I.H., Intramural; Research Support, Non-U.S. Gov't- Language:
English - Source:
- Additional Information
- Source: Publisher: American Medical Association Country of Publication: United States NLM ID: 101729235 Publication Model: Electronic Cited Medium: Internet ISSN: 2574-3805 (Electronic) Linking ISSN: 25743805 NLM ISO Abbreviation: JAMA Netw Open Subsets: MEDLINE
- Publication Information: Original Publication: Chicago, IL : American Medical Association, [2018]-
- Subject Terms: Black or African American/*statistics & numerical data ; Aging/*pathology ; Cognition/*physiology ; Gastrointestinal Microbiome/*physiology ; White People/*statistics & numerical data; Age Factors ; Alabama ; California ; Chicago ; Cohort Studies ; Cross-Sectional Studies ; Female ; Humans ; Longitudinal Studies ; Male ; Middle Aged ; Minnesota ; Prospective Studies ; Race Factors ; Risk Factors ; Socioeconomic Factors
- Abstract: Importance: Animal experiments and small clinical studies support a role for the gut microbiota in cognitive functioning. Few studies have investigated gut microbiota and cognition in large community samples.
Objective: To examine associations of gut microbial composition with measures of cognition in an established population-based study of middle-aged adults.
Design, Setting, and Participants: This cross-sectional study analyzed data from the prospective Coronary Artery Risk Development in Young Adults (CARDIA) cohort in 4 US metropolitan centers between 2015 and 2016. Data were analyzed in 2019 and 2020.
Exposures: Stool DNA were sequenced, and the following gut microbial measures were gathered: (1) β-diversity (between-person) derived with multivariate principal coordinates analysis; (2) α-diversity (within-person), defined as richness (genera count) and the Shannon index (integrative measure of genera richness and evenness); and (3) taxonomy (107 genera, after filtering).
Main Outcomes and Measures: Cognitive status was assessed using 6 clinic-administered cognitive tests: Montreal Cognitive Assessment (MoCA), Digit Symbol Substitution Test (DSST), Rey-Auditory Verbal Learning Test (RAVLT), Stroop, category fluency, and letter fluency. A global score measure derived using principal components analysis was also assessed; the first principal component explained 56% of variability.
Results: Microbiome data were available on 597 CARDIA participants; mean (SD) age was 55.2 (3.5) years, 268 participants (44.7%) were men, and 270 (45.2%) were Black. In multivariable-adjusted principal coordinates analysis, permutational multivariate analysis of variance tests for β-diversity were statistically significant for all cognition measures (principal component analysis, P = .001; MoCA, P = .001; DSST, P = .001; RAVLT, P = .001; Stroop, P = .007; category fluency, P = .001) with the exception of letter fluency (P = .07). After adjusting for sociodemographic variables (age, race, sex, education), health behaviors (physical activity, diet, smoking, medication use), and clinical covariates (body mass index, diabetes, hypertension), Barnesiella was positively associated with the first principal component (β, 0.16; 95% CI, 0.08-0.24), DSST (β, 1.18; 95% CI, 0.35-2.00), and category fluency (β, 0.59; 95% CI, 0.31-0.87); Lachnospiraceae FCS020 group was positively associated with DSST (β, 2.67; 95% CI, 1.10-4.23), and Sutterella was negatively associated with MoCA (β, -0.27; 95% CI, -0.44 to -0.11).
Conclusions and Relevance: In this cross-sectional study, microbial community composition, based on β-diversity, was associated with all cognitive measures in multivariable-adjusted analysis. These data contribute to a growing body of literature suggesting that the gut microbiota may be associated with cognitive aging, but must be replicated in larger samples and further researched to identify relevant pathways. - References: Nat Methods. 2016 Jul;13(7):581-3. (PMID: 27214047)
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ISME J. 2013 Nov;7(11):2116-25. (PMID: 23823492) - Grant Information: K01 HL127159 United States HL NHLBI NIH HHS; R01 AG063887 United States AG NIA NIH HHS; R35 AG071916 United States AG NIA NIH HHS
- Publication Date: Date Created: 20220208 Date Completed: 20220228 Latest Revision: 20230717
- Publication Date: 20240628
- Accession Number: PMC8826173
- Accession Number: 10.1001/jamanetworkopen.2021.43941
- Accession Number: 35133436
- Source:
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