Cited by 415Diabetes, Cardiovascular Risks, and LipoproteinsDiabetes Management and ResearchGenetic Associations and Epidemiology

Pathophysiology-based subphenotyping of individuals at elevated risk for type 2 diabetes

Open access
Wagner, Robert, Heni, Martin, Tabák, Adam G., Machann, Jürgen, Schick, Fritz, Randrianarisoa, Elko, Hrabě de Angelis, Martin, Birkenfeld, Andreas L. +4 more·2021·Nature Medicine

Published version of a preprint

Abstract

The state of intermediate hyperglycemia is indicative of elevated risk of developing type 2 diabetes 1. However, the current definition of prediabetes neither reflects subphenotypes of pathophysiology of type 2 diabetes nor is predictive of future metabolic trajectories. We used partitioning on variables derived from oral glucose tolerance tests, MRI-measured body fat distribution, liver fat content and genetic risk in a cohort of extensively phenotyped individuals who are at increased risk for type 2 diabetes 2,3 to identify six distinct clusters of subphenotypes. Three of the identified subphenotypes have increased glycemia (clusters 3, 5 and 6), but only individuals in clusters 5 and 3 have imminent diabetes risks. By contrast, those in cluster 6 have moderate risk of type 2 diabetes, but an increased risk of kidney disease and all-cause mortality. Findings were replicated in an independent cohort using simple anthropomorphic and glycemic constructs 4. This proof-of-concept study demonstrates that pathophysiological heterogeneity exists before diagnosis of type 2 diabetes and highlights a group of individuals who have an increased risk of complications without rapid progression to overt type 2 diabetes.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1038/s41591-020-1116-9

Cites

53 of 53 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Wagner, R., Heni, M., Tabák, A. G., Machann, J., Schick, F., Randrianarisoa, E., Hrabě de Angelis, M., Birkenfeld, A. L., Stefan, N., Peter, A., Häring, H.-U., & Fritsche, A.
Affiliations
  • German Center for Diabetes Research (DE)
  • Universitätsklinikum Tübingen (DE)
  • Harvard University (US)
Corresponding author
Wagner, Robert
Venue
Nature Medicine
Published
2021-01
Volume
27
Issue
1
Pages
49-57
ISSN
  • 1078-8956 (ISSN-L)
  • 1546-170X
OpenAlex
W3120205736
Cited by
415
References
53
Citations by year
2026: 65 · 2025: 76 · 2024: 64 · 2023: 78 · 2022: 86 · 2021: 46
FWCI
51.08
Type
journal article
Language
en
Open access
Locations
  • Nature Medicine (publishedVersion)
  • medRxiv (acceptedVersion, cc-by-nc-nd)
  • PubMed (publishedVersion)
  • UCL Discovery (University College London) (submittedVersion)
  • Site cant be reached (submittedVersion, other-oa)
  • PuSH - Publication Server of Helmholtz Zentrum München (submittedVersion)
Funders
  • Bundesministerium für Bildung und Forschung (01GI0925)
  • Ministerium für Wissenschaft, Forschung und Kunst Baden-Württemberg (32-5400/58/2)
Topics
  • Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes, Cardiovascular Risks, and Lipoproteins
  • Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Management and Research
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Associations and Epidemiology
Keywords
type 2 diabetes, prediabetes, subphenotypes, oral glucose tolerance test, body fat distribution, liver fat, genetic risk, patient clustering, kidney disease risk, all-cause mortality, diabetes progression
MeSH terms
Anthropometry, Blood Glucose, Body Composition, Diabetes Mellitus, Type 2, Disease Susceptibility, Female, Glucose Tolerance Test, Humans, Insulin, Male, Middle Aged, Phenotype, Cohort Studies, Disease Progression

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review