Literature DB >> 33398163

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

Robert Wagner1,2,3, Martin Heni4,5,6,7, Adam G Tabák8,9,10, Jürgen Machann4,5,11, Fritz Schick5,11, Elko Randrianarisoa4,5, Martin Hrabě de Angelis5,12,13, Andreas L Birkenfeld4,5,6, Norbert Stefan4,5,6,14, Andreas Peter4,5,7, Hans-Ulrich Häring4,5, Andreas Fritsche4,5,6.   

Abstract

The state of intermediate hyperglycemia is indicative of elevated risk of developing type 2 diabetes1. 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 diabetes2,3 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 constructs4. 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.

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Year:  2021        PMID: 33398163     DOI: 10.1038/s41591-020-1116-9

Source DB:  PubMed          Journal:  Nat Med        ISSN: 1078-8956            Impact factor:   53.440


  44 in total

1.  Clustering for a better prediction of type 2 diabetes mellitus.

Authors:  Amélie Bonnefond; Philippe Froguel
Journal:  Nat Rev Endocrinol       Date:  2021-04       Impact factor: 43.330

2.  Differences in complications, cardiovascular risk factor, and diabetes management among participants enrolled at veterans affairs (VA) and non-VA medical centers in the glycemia reduction approaches in diabetes: A comparative effectiveness study (GRADE).

Authors:  Hermes J Florez; Alokananda Ghosh; Rodica Pop-Busui; Sophia H Hox; Chantal Underkofler; M Diane McKee; Jean Park; Mary K Rhee; Tina Killean; Heidi Krause-Steinrauf; Vanita R Aroda; Deborah J Wexler
Journal:  Diabetes Res Clin Pract       Date:  2021-12-28       Impact factor: 5.602

Review 3.  Metabolic implications of pancreatic fat accumulation.

Authors:  Robert Wagner; Sabine S Eckstein; Hajime Yamazaki; Felicia Gerst; Jürgen Machann; Benjamin Assad Jaghutriz; Annette Schürmann; Michele Solimena; Stephan Singer; Alfred Königsrainer; Andreas L Birkenfeld; Hans-Ulrich Häring; Andreas Fritsche; Susanne Ullrich; Martin Heni
Journal:  Nat Rev Endocrinol       Date:  2021-10-20       Impact factor: 43.330

4.  What's new in non-alcoholic fatty liver disease?

Authors:  Jessica Spiers; James Hallimond Brindley; Wenhao Li; William Alazawi
Journal:  Frontline Gastroenterol       Date:  2022-05-31

Review 5.  Cardiovascular Disease Risk Reduction and Body Mass Index.

Authors:  Rohan Samson; Pierre Vladimir Ennezat; Thierry H Le Jemtel; Suzanne Oparil
Journal:  Curr Hypertens Rep       Date:  2022-07-05       Impact factor: 4.592

Review 6.  Type 1 diabetes and engineering enhanced islet transplantation.

Authors:  Abiramy Jeyagaran; Chuan-En Lu; Aline Zbinden; Andreas L Birkenfeld; Sara Y Brucker; Shannon L Layland
Journal:  Adv Drug Deliv Rev       Date:  2022-08-21       Impact factor: 17.873

Review 7.  Toward an Improved Classification of Type 2 Diabetes: Lessons From Research into the Heterogeneity of a Complex Disease.

Authors:  Maria J Redondo; Ashok Balasubramanyam
Journal:  J Clin Endocrinol Metab       Date:  2021-11-19       Impact factor: 6.134

8.  On the causal relationships between hyperinsulinaemia, insulin resistance, obesity and dysglycaemia in type 2 diabetes.

Authors:  James D Johnson
Journal:  Diabetologia       Date:  2021-07-22       Impact factor: 10.122

Review 9.  Phenotyping the Prediabetic Population-A Closer Look at Intermediate Glucose Status and Cardiovascular Disease.

Authors:  Elena Barbu; Mihaela-Roxana Popescu; Andreea-Catarina Popescu; Serban-Mihai Balanescu
Journal:  Int J Mol Sci       Date:  2021-06-25       Impact factor: 5.923

Review 10.  The β Cell in Diabetes: Integrating Biomarkers With Functional Measures.

Authors:  Steven E Kahn; Yi-Chun Chen; Nathalie Esser; Austin J Taylor; Daniël H van Raalte; Sakeneh Zraika; C Bruce Verchere
Journal:  Endocr Rev       Date:  2021-09-28       Impact factor: 25.261

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