ArticleThe lancet. Diabetes & endocrinology2024
Analysis of type 2 diabetes heterogeneity with a tree-like representation: insights from the prospective German Diabetes Study and the LURIC cohort.
Article in The lancet. Diabetes & endocrinology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 1 of them a synthesis that pooled it.
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30 citing papers in PubMed, 1 synthesis or guideline pooled it, 44 citations in OpenAlex.
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- A narrative review of what cohorts have taught us and how they have laid the foundation for much of our understanding of type 2 diabetes.Diabetologia · 2026Review
- Plasma metabolite association profiles for type 2 diabetes genetic clusters in Finnish men.Diabetologia · 2026Article
- Diabetogenic processes for insulin resistance-linked hyperinsulinaemia are associated with colorectal cancer.Diabetologia · 2026Article
- Phenotypic heterogeneity of type 2 diabetes and risks of complications with a tree-like representation.Cardiovascular diabetology · 2026Article
- Type 2 diabetes mellitus.Nature reviews. Disease primers · 2026Review
- Diabetes mellitus as a multisystem disease: understanding subtypes, complications, and the link with steatotic liver diseases in humans.Hormones (Athens, Greece) · 2026Review
- Intra-pancreatic fat deposition links to widespread systemic health risks: UK Biobank prospective cohort study.Insights into imaging · 2026Article
- Beyond Glucose-Rethinking Prediabetes for Precision Prevention.Diabetes care · 2026Review
- Precision phenotyping of type 2 diabetes in chinese populations using a variational autoencoder-informed tree model.Nature communications · 2026Article
- Heterogeneity of diabetes and disease progression with a tree-like representation: findings from the China Cardiometabolic Disease and Cancer Cohort (4C) study.Diabetologia · 2026Article
- Association between the stress hyperglycemia ratio and neovascular glaucoma in patients with proliferative diabetic retinopathy.Frontiers in endocrinology · 2026Article
- From visualization to prediction: Dissecting metabolic heterogeneity with DDRTree.Cell reports. Medicine · 2025Article
- Phenotypic heterogeneity of type 2 diabetes and risks of all-cause and cause-specific mortality.Cell reports. Medicine · 2025Article
- Plant-Based Dietary Patterns Associated With Reduced Risk of All-Cause Mortality in Diabetes Subgroups: A Prospective Cohort Study From the UK Biobank.Diabetes care · 2025Article
- Global understanding via local extraction for data clustering and visualization.Patterns (New York, N.Y.) · 2025Article
- Cohort profile of the Heidelberg study on diabetes and complications HEIST-DiC.Scientific reports · 2025Article
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Authors and funding
38 authors at 16 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundHeterogeneity in type 2 diabetes can be represented by a tree-like graph structure by use of reversed graph-embedded dimensionality reduction. We aimed to examine whether this approach can be used to stratify key pathophysiological components and diabetes-related complications during longitudinal follow-up of individuals with recent-onset type 2 diabetes.
methodsFor this cohort analysis, 927 participants aged 18-69 years from the German Diabetes Study (GDS) with recent-onset type 2 diabetes were mapped onto a previously developed two-dimensional tree based on nine simple clinical and laboratory variables, residualised for age and sex. Insulin sensitivity was assessed by a hyperinsulinaemic-euglycaemic clamp, insulin secretion was assessed by intravenous glucose tolerance test, hepatic lipid content was assessed by
findingsThere were gradients of clamp-measured insulin sensitivity (both dimensions: p<0·0001) and insulin secretion (p
interpretationThese data define the pathophysiological underpinnings of the tree structure, which has the potential to stratify diabetes-related complications on the basis of routinely available variables and thereby expand the toolbox of precision diabetes diagnosis.
fundingGerman Diabetes Center, German Federal Ministry of Health, Ministry of Culture and Science of the state of North Rhine-Westphalia, German Federal Ministry of Education and Research, German Diabetes Association, German Center for Diabetes Research, European Community, German Research Foundation, and Schmutzler Stiftung.
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