Pulse lineResearch With Heart Logo

Human metabolome associates with dietary intake habits among African Americans in the atherosclerosis risk in communities study.

TitleHuman metabolome associates with dietary intake habits among African Americans in the atherosclerosis risk in communities study.
Publication TypeJournal Article
Year of Publication2014
AuthorsZheng Y, Yu B, Alexander D, Steffen LM
Secondary AuthorsBoerwinkle E
JournalAm J Epidemiol
Volume179
Issue12
Pagination1424-33
Date Published2014 Jun 15
ISSN1476-6256
KeywordsAfrican Americans, Atherosclerosis, Biomarkers, Diet, Feeding Behavior, Female, Humans, Male, Metabolome, Middle Aged, Overweight, Risk Factors
Abstract

The human metabolome is a measurable outcome of interactions among an individual's inherited genome, microbiome, and dietary intake. We explored the relationship between dietary intake and serum untargeted metabolomic profiles in a subsample of 1,977 African Americans from the Atherosclerosis Risk in Communities (ARIC) Study in 1987-1989. For each metabolite, we conducted linear regression to estimate its relationships with each food group and food category. Potential confounding factors included age, sex, body mass index (weight (kg)/height (m)(2)), energy intake, kidney function, and food groups. We used a modified Bonferroni correction to determine statistical significance. In total, 48 pairs of diet-metabolite associations were identified, including multiple novel associations. The food group "sugar-rich foods and beverages" was inversely associated with 5 metabolites in the 2-hydroxybutyrate-related subpathway and positively associated with 5 ╬│-glutamyl dipeptides. The hypothesized mechanism of these associations may be through oxidative stress. "Sugar-rich foods and beverages" were also inversely associated with 7 unsaturated long-chain fatty acids. These findings suggest that the contribution of a sugar-rich dietary pattern to increased cardiovascular disease risk may be partially attributed to oxidative stress and disordered lipid profiles. Metabolomics may reveal novel metabolic biomarkers of dietary intake and provide insight into biochemical pathways underlying nutritional effects on disease development.

DOI10.1093/aje/kwu073
Alternate JournalAm J Epidemiol
PubMed ID24801555
PubMed Central IDPMC4051875
Grant ListHHSN268201100012C / HL / NHLBI NIH HHS / United States
HHSN268201100009I / HL / NHLBI NIH HHS / United States
HHSN268201100010C / HL / NHLBI NIH HHS / United States
HHSN268201100008C / HL / NHLBI NIH HHS / United States
HHSN268201100005G / HL / NHLBI NIH HHS / United States
HHSN268201100008I / HL / NHLBI NIH HHS / United States
HHSN268201100005C / / PHS HHS / United States
HHSN268201100007C / HL / NHLBI NIH HHS / United States
HHSN268201100009C / / PHS HHS / United States
3U01HG004402-02S1 / HG / NHGRI NIH HHS / United States
HHSN268201100011I / HL / NHLBI NIH HHS / United States
HHSN268201100011C / HL / NHLBI NIH HHS / United States
U01 HG004402 / HG / NHGRI NIH HHS / United States
HHSN268201100010C / / PHS HHS / United States
HHSN268201100006C / HL / NHLBI NIH HHS / United States
HHSN268201100012C / / PHS HHS / United States
HHSN268201100005I / HL / NHLBI NIH HHS / United States
HHSN268201100007C / / PHS HHS / United States
HHSN268201100009C / HL / NHLBI NIH HHS / United States
HHSN268201100011C / / PHS HHS / United States
HHSN268201100005C / HL / NHLBI NIH HHS / United States
HHSN268201100007I / HL / NHLBI NIH HHS / United States
HHSN268201100006C / / PHS HHS / United States
HHSN2682011-00008C / / PHS HHS / United States