학술논문
Analysis of type 2 diabetes heterogeneity with a tree-like representation: insights from the prospective German Diabetes Study and the LURIC cohort
Document Type
Article
Author
Schön, Martin; Prystupa, Katsiaryna; Mori, Tim; Zaharia, Oana P; Bódis, Kálmán; Bombrich, Maria; Möser, Clara; Yurchenko, Iryna; Kupriyanova, Yuliya; Strassburger, Klaus; Bobrov, Pavel; Nair, Anand T N; Bönhof, Gidon J; Strom, Alexander; Delgado, Graciela E; Kaya, Sema; Guthoff, Rainer; Stefan, Norbert; Birkenfeld, Andreas L; Hauner, Hans; Seissler, Jochen; Pfeiffer, Andreas; Blüher, Matthias; Bornstein, Stefan; Szendroedi, Julia; Meyhöfer, Svenja; Trenkamp, Sandra; Burkart, Volker; Schrauwen-Hinderling, Vera B; Kleber, Marcus E; Niessner, Alexander; Herder, Christian; Kuss, Oliver; März, Winfried; Pearson, Ewan R; Roden, Michael; Wagner, Robert; Al-Hasani, Hadi; Belgardt, Bengt-Frederik; Bönhof, Gidon J.; Geerling, Gerd; Herder, Christian; Icks, Andrea; Jandeleit-Dahm, Karin; Kotzka, Jörg; Kuss, Oliver; Lammert, Eckhard; Rathmann, Wolfgang; Roden, Michael; Schlesinger, Sabrina; Schrauwen-Hinderling, Vera; Szendroedi, Julia; Trenkamp, Sandra; Wagner, Robert
Source
The Lancet Diabetes & Endocrinology; February 2024, Vol. 12 Issue: 2 p119-131, 13p
Subject
Language
ISSN
22138587; 22138595
Abstract
Heterogeneity 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.