ArticleInternational journal of obesity (2005)2019
Plasma metabolites reveal distinct profiles associating with different metabolic risk factors in monozygotic twin pairs.
Article in International journal of obesity (2005), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed, 18 citations in OpenAlex.
- Alterations in Metabolites Associated With Umbilical Cord Blood in Monozygotic Twins Discordant for Congenital Heart Disease.Pediatric discovery · 2026Article
- The metabolic signature of blood lipids: a causal inference study using twins.Journal of lipid research · 2024Article
- Optimized Metabotype Definition Based on a Limited Number of Standard Clinical Parameters in the Population-Based KORA Study.Life (Basel, Switzerland) · 2022Article
- Metabolomics study of blood pressure salt-sensitivity and hypertension.Nutrition, metabolism, and cardiovascular diseases : NMCD · 2022Article
- Targeted Metabolomics as a Tool in Discriminating Endocrine From Primary Hypertension.The Journal of clinical endocrinology and metabolism · 2021Article
- Perspective: Metabotyping-A Potential Personalized Nutrition Strategy for Precision Prevention of Cardiometabolic Disease.Advances in nutrition (Bethesda, Md.) · 2020Article
- Systems-based approaches for investigation of inter-tissue communication.Journal of lipid research · 2019Review
- The Metabolome and Osteoarthritis: Possible Contributions to Symptoms and Pathology.Metabolites · 2018Review
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Authors and funding
9 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundObesity is related to a myriad of cardiometabolic outcomes, each of which may have a specific metabolomic signature and a genetic basis. We identified plasma metabolites associating with different cardiometabolic risk factors (adiposity, cholesterol, insulin resistance, and inflammation) in monozygotic (MZ) twins. Additionally, we assessed if metabolite profiling can identify subgroups differing by cardiometabolic risk factors.
methodsWe quantified 111 plasma metabolites (Acquity UPLC-triple quadrupole mass spectrometry), and measured blood lipids, HOMA index, CRP, and adiposity (BMI, %bodyfat by DEXA, fat distribution by MRI) in 40 MZ twin pairs (mean BMI 27.9 kg/m
resultsWe identified 42 metabolite-phenotype associations (FDR < 0.05), 19 remained significant after controlling for shared factors within the twin pairs. Aspartate, propionylcarnitine, tyrosine hexanoylcarnitine, and deoxycytidine associated positively with two or more adiposity measures. HDL cholesterol (HDL-C) associated negatively and BMI positively with the most numbers of metabolites; 12 were unique for HDL-C and 3 for BMI. Metabolites associating with HDL-C had the strongest effect size. Metabolite profiling revealed two distinct subgroups of individuals, differing by 32 metabolites (p < 0.05), and by total and LDL cholesterol (LDL-C). Forty-two metabolites predicted subgroup membership in correlation with total cholesterol and 45 metabolites predicted subgroup membership in correlation with LDL-C.
conclusionsDifferent fat depots share metabolites associating with general adiposity. BMI and HDL-C associated with the most pronounced and specific metabolomic signature. Metabolomics profiling can be used to identify distinct subgroups of individuals that differ by cholesterol measures. Most of the observed metabolite-phenotype associations are free of confounding by genetics and environmental factors shared by the co-twins.
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