ArticleMetabolomics : Official journal of the Metabolomic Society2019
Metabolomic and lipidomic assessment of the metabolic syndrome in Dutch middle-aged individuals reveals novel biological signatures separating health and disease.
Article in Metabolomics : Official journal of the Metabolomic Society, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 1 of them a synthesis that pooled it.
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Who cites it
32 citing papers in PubMed, 1 synthesis or guideline pooled it, 60 citations in OpenAlex.
- Metabolomic and Lipidomic Signatures of Metabolic Syndrome and its Physiological Components in Adults: A Systematic Review.Scientific reports · 2020Pooled it
- n-3 PUFA and caloric restriction diet alters lipidomic profiles in obese men with metabolic syndrome: a preliminary open study.European journal of nutrition · 2020Trial
- Trial
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- Predictive Utility and Metabolomic Signatures of TG/HDL-C Ratio for Metabolic Syndrome Without Cardiovascular Disease and/or Diabetes in Qatari Adults.Metabolites · 2025Article
- The gut-adipose/pancreas axis: a novel perspective on glycolipid metabolism dysregulation in MAFLD and T2DM pathogenesis.Frontiers in endocrinology · 2025Review
- First exposure to second-generation antipsychotics alters gut microbiota and metabolic profiles in patients with glucose-lipid metabolism disorders.Frontiers in psychiatry · 2025Article
- Effects of dietary fibre on metabolic health and obesity.Nature reviews. Gastroenterology & hepatology · 2024Review
- Plasma metabolite predictors of metabolic syndrome incidence and reversion.Metabolism: clinical and experimental · 2024Article
- Integrating machine learning and nontargeted plasma lipidomics to explore lipid characteristics of premetabolic syndrome and metabolic syndrome.Frontiers in endocrinology · 2024Article
- Longitudinal Gut Microbiota Dysbiosis Underlies Olanzapine-Induced Weight Gain.Microbiology spectrum · 2023Article
- Plasma metabolic fingerprints for large-scale screening and personalized risk stratification of metabolic syndrome.Cell reports. Medicine · 2023Article
- Lipidomics profiling of biological aging in American Indians: the Strong Heart Family Study.GeroScience · 2023Article
- New Advances in Metabolic Syndrome, from Prevention to Treatment: The Role of Diet and Food.Nutrients · 2023Review
- Machine learning of plasma metabolome identifies biomarker panels for metabolic syndrome: findings from the China Suboptimal Health Cohort.Cardiovascular diabetology · 2022Article
- Targeted Metabolomics Revealed a Sex-Dependent Signature for Metabolic Syndrome in the Mexican Population.Nutrients · 2022Article
- Lipidomic Approaches to Study HDL Metabolism in Patients with Central Obesity Diagnosed with Metabolic Syndrome.International journal of molecular sciences · 2022Article
- Individuals with Metabolic Syndrome Show Altered Fecal Lipidomic Profiles with No Signs of Intestinal Inflammation or Increased Intestinal Permeability.Metabolites · 2022Article
- Advances in multi-omics study of biomarkers of glycolipid metabolism disorder.Computational and structural biotechnology journal · 2022Review
Corrections and comments
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Authors and funding
7 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundWe aimed to identify novel metabolite and lipid signatures connected with the metabolic syndrome in a Dutch middle-aged population.
methods115 individuals with a metabolic syndrome score ranging from 0 to 5 [50 cases of the metabolic syndrome (score ≥ 3) and 65 controls] were enrolled from the Leiden Longevity Study, and LC/GC-MS metabolomics and lipidomics profiling were performed on fasting plasma samples. Data were analysed with principal component analysis and orthogonal projections to latent structures (OPLS) to study metabolite/lipid signatures associated with the metabolic syndrome. In addition, univariate analyses were done with linear regression, adjusted for age and sex, for the study of individual metabolites/lipids in relation to the metabolic syndrome.
resultsData was available on 103 metabolites and 223 lipids. In the OPLS model with metabolic syndrome score (Y-variable), 9 metabolites were negatively correlated and 26 metabolites (mostly acylcarnitines, amino acids and keto acids) were positively correlated with the metabolic syndrome score. In addition, a total of 100 lipids (mainly triacylglycerides) were positively correlated and 10 lipids from different lipid classes were negatively correlated with the metabolic syndrome score. In the univariate analyses, the metabolic syndrome (score) was associated with multiple individual metabolites (e.g., valeryl carnitine, pyruvic acid, lactic acid, alanine) and lipids [e.g., diglyceride(34:1), diglyceride(36:2)].
conclusionIn this first study on metabolomics/lipidomics of the metabolic syndrome, we identified multiple novel metabolite and lipid signatures, from different chemical classes, that were connected to the metabolic syndrome and are of interest to cardiometabolic disease biology.
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