ArticleNutrition, metabolism, and cardiovascular diseases : NMCD2020
Serum metabolites associate with lipid phenotypes among Bogalusa Heart Study participants.
Article in Nutrition, metabolism, and cardiovascular diseases : NMCD, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
What it found
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Who cites it
8 citing papers in PubMed, 11 citations in OpenAlex.
- Associations of plasma inosine with lipid parameters in a biracial community cohort.Clinical nutrition (Edinburgh, Scotland) · 2025Trial
- 2-Aminoadipic Acid mediates the association between BMI and Lipids: Evidence from the CLSA and BHS Cohorts and Mendelian randomization.American journal of preventive cardiology · 2026Article
- Efficacy and compatibility mechanism of bear bile powder in Shexiang Tongxin dropping pills for acute myocardial infarction treatment.Chinese medicine · 2025Article
- The Role of Plasma Metabolites in Mediating the Effect of Gut Microbiota on Obstructive Sleep Apnea: A Two-Step, Two-Sample Mendelian Randomization Study.Nature and science of sleep · 2025Article
- Multicomponent Lipid Nanoparticles for RNA Transfection.Pharmaceutics · 2023Article
- Macronutrient Proportions and Fat Type Impact Ketogenicity and Shape the Circulating Lipidome in Dogs.Metabolites · 2022Article
- Metabolomic Predictors of Non-alcoholic Steatohepatitis and Advanced Fibrosis in Children.Frontiers in microbiology · 2021Article
- Use of an Exposome Approach to Understand the Effects of Exposures From the Natural, Built, and Social Environments on Cardio-Vascular Disease Onset, Progression, and Outcomes.Frontiers in public health · 2020Review
Corrections and comments
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Authors and funding
10 authors at 4 institutions in 2 countries.
Funding
Abstract
BACKGROUND AND
aimsDyslipidemia has been identified as a major risk factor for cardiovascular disease. We aimed to identify metabolites and metabolite modules showing novel association with lipids among Bogalusa Heart Study (BHS) participants using untargeted metabolomics. METHODS AND
resultsUntargeted ultrahigh performance liquid chromatography-tandem mass spectroscopy was used to quantify serum metabolites of 1 243 BHS participants (816 whites and 427 African-Americans). The association of single metabolites with lipids was assessed using multiple linear regression models to adjust for covariables. Weighted correlation network analysis was utilized to identify modules of co-abundant metabolites and examine their covariable adjusted correlations with lipids. All analyses were conducted according to race and using Bonferroni-corrected α-thresholds to determine statistical significance. Thirteen metabolites with known biochemical identities showing novel association achieved Bonferroni-significance, p < 1.04 × 10
conclusionThe current study identified 13 metabolites and 4 metabolite modules showing novel association with lipids, providing new insights into the physiological mechanisms regulating lipid levels.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.