ArticleDiabetologia2024
Role of human plasma metabolites in prediabetes and type 2 diabetes from the IMI-DIRECT study.
Article in Diabetologia, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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Who cites it
17 citing papers in PubMed.
- Plasma metabolite association profiles for type 2 diabetes genetic clusters in Finnish men.Diabetologia · 2026Article
- The blood metabolome of brain health in midlife and influences of genes, microbiome and exposome.Nature aging · 2026Article
- Lactate as a Chemical Modification on Proteins and Metabolites.Annual review of biochemistry · 2026Review
- Coregulated metabolite networks associated with global protein crotonylation are central pathophysiological processes in prediabetes and diabetes.medRxiv : the preprint server for health sciences · 2026Article
- Plasma Metabolite Associations for Risk and Laboratory Measures of Type 2 Diabetes in a Large-Scale Finnish Prospective Cohort.Diabetes care · 2026Article
- Lifestyles, metabolome and diabetic kidney disease: a cohort study.QJM : monthly journal of the Association of Physicians · 2026Article
- Beyond exercise and appetite: The expanding biology and therapeutic potential of N-lactoyl-phenylalanine.The Journal of pharmacology and experimental therapeutics · 2026Review
- Beyond glucose: wearable and implantable biosensors for continuous monitoring of metabolic, hormonal, and inflammatory biomarkers in personalized cardiometabolic care.Frontiers in bioengineering and biotechnology · 2026Review
- Metabolomics reveals LysoPC a C17:0 (LPC 17:0) as candidate biomarker for personalized medicine in morbid obesity.Frontiers in medicine · 2026Article
- Review
- Precision integrated identification of predictive first-trimester metabolomics signatures for early detection of gestational diabetes mellitus.Cardiovascular diabetology · 2025Article
- N-lactoyl amino acids are potential biomarkers for insulin resistance and diabetic complications.Diabetes, obesity & metabolism · 2025Article
- Article
- N-Lactoyl Amino Acids: Emerging Biomarkers in Metabolism and Disease.Diabetes/metabolism research and reviews · 2025Review
- Metabolomics in cardiometabolic diseases: Key biomarkers and therapeutic implications for insulin resistance and diabetes.Journal of internal medicine · 2025Review
- Circulating mediators linking cardiometabolic diseases to HFpEF: a mediation Mendelian randomization analysis.Cardiovascular diabetology · 2025Article
- The blood metabolome of cognitive function and brain health in middle-aged adults - influences of genes, gut microbiome, and exposome.medRxiv : the preprint server for health sciences · 2024Article
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32 authors.
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Abstract
aims/hypothesisType 2 diabetes is a chronic condition that is caused by hyperglycaemia. Our aim was to characterise the metabolomics to find their association with the glycaemic spectrum and find a causal relationship between metabolites and type 2 diabetes.
methodsAs part of the Innovative Medicines Initiative - Diabetes Research on Patient Stratification (IMI-DIRECT) consortium, 3000 plasma samples were measured with the Biocrates AbsoluteIDQ p150 Kit and Metabolon analytics. A total of 911 metabolites (132 targeted metabolomics, 779 untargeted metabolomics) passed the quality control. Multivariable linear and logistic regression analysis estimates were calculated from the concentration/peak areas of each metabolite as an explanatory variable and the glycaemic status as a dependent variable. This analysis was adjusted for age, sex, BMI, study centre in the basic model, and additionally for alcohol, smoking, BP, fasting HDL-cholesterol and fasting triacylglycerol in the full model. Statistical significance was Bonferroni corrected throughout. Beyond associations, we investigated the mediation effect and causal effects for which causal mediation test and two-sample Mendelian randomisation (2SMR) methods were used, respectively.
resultsIn the targeted metabolomics, we observed four (15), 34 (99) and 50 (108) metabolites (number of metabolites observed in untargeted metabolomics appear in parentheses) that were significantly different when comparing normal glucose regulation vs impaired glucose regulation/prediabetes, normal glucose regulation vs type 2 diabetes, and impaired glucose regulation vs type 2 diabetes, respectively. Significant metabolites were mainly branched-chain amino acids (BCAAs), with some derivatised BCAAs, lipids, xenobiotics and a few unknowns. Metabolites such as lysophosphatidylcholine a C17:0, sum of hexoses, amino acids from BCAA metabolism (including leucine, isoleucine, valine, N-lactoylvaline, N-lactoylleucine and formiminoglutamate) and lactate, as well as an unknown metabolite (X-24295), were associated with HbA CONCLUSIONS/
interpretationOur findings identify known BCAAs and lipids, along with novel N-lactoyl-amino acid metabolites, significantly associated with prediabetes and diabetes, that mediate the effect of diabetes from baseline to follow-up (18 and 48 months). Causal inference using genetic variants shows the role of lipid metabolism and n-3 fatty acids as being causal for metabolite-to-type 2 diabetes whereas the sum of hexoses is causal for type 2 diabetes-to-metabolite. Identified metabolite markers are useful for stratifying individuals based on their risk progression and should enable targeted interventions.
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