ArticleCell reports. Medicine2022
Four groups of type 2 diabetes contribute to the etiological and clinical heterogeneity in newly diagnosed individuals: An IMI DIRECT study.
Article in Cell reports. Medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 59 papers.
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Who cites it
59 citing papers in PubMed, 85 citations in OpenAlex.
- Prediabetes Subgroups, Type 2 Diabetes Risk, and Differential Effects of Preventive Interventions.The Journal of clinical endocrinology and metabolism · 2025 · on this mapTrial
- Type 2 diabetes subtypes for precision medicine: methodological challenges and alternative prediction-based approaches.Diabetologia · 2026Review
- Single-cell profiling of pancreatic islets maps subtype-associated molecular alterations in type 2 diabetes.Diabetologia · 2026Article
- Rapid and long-lasting remodelling of the blood transcriptome following bariatric surgery.International journal of obesity (2005) · 2026Article
- TyG-Centered Endocrine-Metabolic Architecture in Patients with Thyroid Dysfunction: A Systems Phenotyping Study.Metabolites · 2026Article
- Genetic and molecular signatures highlight diverse pathways linking obesity to type 2 diabetes.Nature communications · 2026Article
- Plasma metabolite association profiles for type 2 diabetes genetic clusters in Finnish men.Diabetologia · 2026Article
- Five tenets for advancing evidence-based precision medicine.Nature medicine · 2026Review
- Diabetes mellitus as a multisystem disease: understanding subtypes, complications, and the link with steatotic liver diseases in humans.Hormones (Athens, Greece) · 2026Review
- Gut microbiota and metabolic disease risk in youth.Cell reports. Medicine · 2026Review
- The Extent and Phenotype of Coronary Artery Disease in Diabetes and Prediabetes: Insights From Imaging Studies and Potential Therapeutic Implications.Reviews in cardiovascular medicine · 2026Review
- Beyond Glucose-Rethinking Prediabetes for Precision Prevention.Diabetes care · 2026Review
- Aetiological clustering of newly diagnosed type 2 diabetes using machine learning: a retrospective cross-sectional study in Dubai, UAE.BMJ open · 2025Article
- Article
- From omics to AI-mapping the pathogenic pathways in type 2 diabetes.FEBS letters · 2025Review
- Longitudinal Metabolic Trajectories in Diabetes Prevention Program Participants Reveal Subgroups With Varying Micro- and Macrovascular Complication Risks.Diabetes care · 2025Article
- Recognising, quantifying and accounting for classification uncertainty in type 2 diabetes subtypes.Diabetologia · 2025Observational
- Appraisal of Clinical Explanatory Variables in Subtyping of Type 2 Diabetes Using Machine Learning Models.Journal of clinical medicine · 2025Article
- Cohort profile of the Heidelberg study on diabetes and complications HEIST-DiC.Scientific reports · 2025Article
- Glyoxalase 1 Inducer,Antioxidants (Basel, Switzerland) · 2025Article
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Authors and funding
61 authors at 20 institutions in 10 countries.
Funding
Abstract
The presentation and underlying pathophysiology of type 2 diabetes (T2D) is complex and heterogeneous. Recent studies attempted to stratify T2D into distinct subgroups using data-driven approaches, but their clinical utility may be limited if categorical representations of complex phenotypes are suboptimal. We apply a soft-clustering (archetype) method to characterize newly diagnosed T2D based on 32 clinical variables. We assign quantitative clustering scores for individuals and investigate the associations with glycemic deterioration, genetic risk scores, circulating omics biomarkers, and phenotypic stability over 36 months. Four archetype profiles represent dysfunction patterns across combinations of T2D etiological processes and correlate with multiple circulating biomarkers. One archetype associated with obesity, insulin resistance, dyslipidemia, and impaired β cell glucose sensitivity corresponds with the fastest disease progression and highest demand for anti-diabetic treatment. We demonstrate that clinical heterogeneity in T2D can be mapped to heterogeneity in individual etiological processes, providing a potential route to personalized treatments.
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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.