Metabolite Signatures of Metabolic Risk Factors and their Longitudinal Changes

• Published in: The journal of clinical endocrinology and metabolism 2016-04, Vol.101 (4), p.1779-1789
• Main Authors: Yin, Xiaoyan, Subramanian, Subha, Willinger, Christine M, Chen, George, Juhasz, Peter, Courchesne, Paul, Chen, Brian H, Li, Xiaohang, Hwang, Shih-Jen, Fox, Caroline S, O'Donnell, Christopher J, Muntendam, Pieter, Fuster, Valentin, Bobeldijk-Pastorova, Ivana, Sookoian, Silvia C, Pirola, Carlos J, Gordon, Neal, Adourian, Aram, Larson, Martin G, Levy, Daniel
• Format: Article
• Language: English
• Subjects: Adult; Aged; Dyslipidemias - metabolism; Female; Gas Chromatography-Mass Spectrometry; Humans; Male; Metabolome; Metabolomics; Middle Aged; Obesity - metabolism; Original; Risk Factors
• ISSN: 0021-972X; 1945-7197
• DOI: 10.1210/jc.2015-2555

Context: Metabolic dysregulation underlies key metabolic risk factors—obesity, dyslipidemia, and dysglycemia. Objective: To uncover mechanistic links between metabolomic dysregulation and metabolic risk by testing metabolite associations with risk factors cross-sectionally and with risk factor changes over time. Design: Cross-sectional—discovery samples (n = 650; age, 36–69 years) from the Framingham Heart Study (FHS) and replication samples (n = 670; age, 61–76 years) from the BioImage Study, both following a factorial design sampled from high vs low strata of body mass index, lipids, and glucose. Longitudinal—FHS participants (n = 554) with 5–7 years of follow-up for risk factor changes. Setting: Observational studies. Participants: Cross-sectional samples with or without obesity, dysglycemia, and dyslipidemia, excluding prevalent cardiovascular disease and diabetes or dyslipidemia treatment. Age- and sex-matched by group. Interventions: None. Main Outcome Measure(s): Gas chromatography-mass spectrometry detected 119 plasma metabolites. Cross-sectional associations with obesity, dyslipidemia, and dysglycemia were tested in discovery, with external replication of 37 metabolites. Single- and multi-metabolite markers were tested for association with longitudinal changes in risk factors. Results: Cross-sectional metabolite associations were identified with obesity (n = 26), dyslipidemia (n = 21), and dysglycemia (n = 11) in discovery. Glutamic acid, lactic acid, and sitosterol associated with all three risk factors in meta-analysis (P < 4.5 × 10−4). Metabolites associated with longitudinal risk factor changes were enriched for bioactive lipids. Multi-metabolite panels explained 2.5–15.3% of longitudinal changes in metabolic traits. Conclusions: Cross-sectional results implicated dysregulated glutamate cycling and amino acid metabolism in metabolic risk. Certain bioactive lipids were associated with risk factors cross-sectionally and over time, suggesting their upstream role in risk factor progression. Functional studies are needed to validate findings and facilitate translation into treatments or preventive measures. This study tested metabolite associations with risk factors cross-sectionally and with risk factor changes over time to uncover mechanistic links between metabolomics dysregulation and metabolic risk.