Analysis of type 2 diabetes heterogeneity with a tree-like representation: insights from the prospective German Diabetes Study and the LURIC cohort

Martin Schön, Katsiaryna Prystupa, Tim Mori, Oana P. Zaharia, Kálmán Bódis, Maria Bombrich, Clara Möser, Iryna Yurchenko, Yuliya Kupriyanova, Klaus Strassburger, Pavel Bobrov, Anand T.N. Nair, Gidon J. Bönhof, Alexander Strom, Graciela E. Delgado, Sema Kaya, Rainer Guthoff, Norbert Stefan, Andreas L. Birkenfeld, Hans HaunerJochen Seissler, Andreas Pfeiffer, Matthias Blüher, Stefan Bornstein, Julia Szendroedi, Svenja Meyhöfer, Sandra Trenkamp, Volker Burkart, Vera B. Schrauwen-Hinderling, Marcus E. Kleber, Alexander Niessner, Christian Herder, Oliver Kuss, Winfried März, Ewan R. Pearson, Michael Roden, Robert Wagner (Lead / Corresponding author), German Diabetes Study Group

Research output: Contribution to journalArticlepeer-review

7 Citations (Scopus)

Abstract

Background: Heterogeneity in type 2 diabetes (T2D) can be represented by a tree-like structure using reversed graph-embedded dimensionality reduction. We examined whether this approach stratifies key pathophysiological components and diabetes-related complications during longitudinal follow-up of recent-onset T2D.

Methods: Participants (n=927) of the German Diabetes Study (GDS) with recent-onset T2D were mapped onto a previously developed two-dimensional tree based on nine simple clinical and laboratory variables, residualized for age and sex. Insulin sensitivity was assessed by hyperinsulinaemic-euglycaemic clamp, insulin secretion by intravenous glucose tolerance test, hepatic lipid content (HLC) by 1H magnetic resonance spectroscopy, serum interleukin (IL)-6 and IL-18 by ELISA as well as peripheral and autonomic neuropathy by functional and clinical measures. Participants were followed-up for up to 16 years. In the Ludwigshafen Risk and Cardiovascular Health (LURIC) cohort in persons with diabetes undergoing invasive coronary diagnostics (n=794), we also investigated heart failure and all-cause mortality.

Findings: There were gradients of clamp-measured insulin sensitivity (both dimensions: p<0·001) and insulin secretion (both dimensions: p<0·001) across the tree. Individuals in the region with the lowest insulin sensitivity had the highest HLC (pdim1<0·001, pdim2=0·037), proinflammatory biomarkers (IL-6: pdim1<0·001, pdim2=0·013; IL-18: pdim1<0·001, pdim2=0·376) and elevated cardiovascular hazard (nevents=143, pdim1=0·144, pdim2<0·001), whereas persons positioned in the branch with the lowest insulin secretion were more prone to require insulin therapy (nevents=85, pdim1=0·032, pdim2=0·116) and had the highest risk of peripheral (nevents=184, pdim1=0·012, pdim2=0·044) and autonomic neuropathy (nevents=118, pdim1=0·009, pdim2=0·060). In the LURIC cohort, mortality was highest in the tree branch exhibiting insulin resistance (nevents=448, pdim1=0·120, pdim2=0·003). Significant gradients differentiated persons having heart failure with preserved from those with reduced ejection fraction.

Interpretation: These data define the pathophysiological underpinnings of the tree structure, with the potential to stratify diabetes-related complications based on routinely available variables and thereby extend the toolbox of precision diabetes diagnosis.
Original languageEnglish
Pages (from-to)119-131
Number of pages23
JournalThe Lancet Diabetes and Endocrinology
Volume12
Issue number2
Early online date21 Dec 2023
DOIs
Publication statusPublished - 21 Dec 2023

ASJC Scopus subject areas

  • Internal Medicine
  • Endocrinology, Diabetes and Metabolism
  • Endocrinology

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