Novel Metabolites Are Associated With Augmentation Index and Pulse Wave Velocity: Findings From the Bogalusa Heart Study. (6th April 2019)

• Record Type: Journal Article
• Authors: Li, Changwei; He, Jiang; Li, Shengxu; Chen, Wei; Bazzano, Lydia; Sun, Xiao; Shen, Luqi; Liang, Lirong; Shen, Ye; Gu, Xiaoying; Kelly, Tanika N
• Is Part Of: American journal of hypertension. Volume 32:Number 6(2019)
• Page Start: 547
• Page End: 556
• Publication Date: 2019-04-06
• Subjects: arterial stiffness -- blood pressure -- hypertension -- metabolomics -- metabolite networks; Hypertension -- Periodicals; 616.132005
• DOI: 10.1093/ajh/hpz046
• Languages: English
• ISSNs: 0895-7061

Abstract

Abstract: BACKGROUND: Metabolomics study may help identify novel mechanisms underlying arterial stiffening. METHODS: We performed untargeted metabolomics profiling among 1, 239 participants of the Bogalusa Heart Study. After quality control, 1, 202 metabolites were evaluated for associations with augmentation index (AI) and pulse wave velocity (PWV), using multivariate linear regression adjusting for age, sex, race, education, smoking, drinking, body weight, body height, physical activity, and estimated glomerular filtration rate. Heart rate, blood pressure and antihypertensive medication usage, lipids, and fasting glucose were sequentially adjusted in the sensitivity analyses for significant metabolites. Weighted correlation network analysis was applied to build metabolite networks. RESULTS: Six novel metabolites were negatively associated with AI, of which, 3-methyl-2-oxobutyrate had the lowest P value and the largest effect size (β = –6.67, P = 5.99 × 10 –6 ). Heart rate contributed to a large proportion (25%–58%) of the association for each metabolite. Twenty-one novel metabolites were identified for PWV, of which, fructose (β = 0.61, P = 6.18 × 10 –10 ) was most significant, and histidine had the largest effect size (β = –1.09, P = 2.51 × 10 –7 ). Blood pressure played a major contribution (9%–54%) to the association for each metabolite. Furthermore, 16 metabolites were associated with arterial stiffness independent of traditional risk factors. Network analysis identified 2 modules associated with both AI and PWV ( P < 8.00 × 10 –4 ). One was composed of metabolites from the glycerolipids synthesis and recycling pathway, and the other was involved in valine, leucine, and isoleucine metabolism. One module related to sphingomyelin metabolism was associated with PWV only ( P = 0.002). CONCLUSIONS: This study has identified novel and important metabolites and metabolic networks associated with arterial stiffness.