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Metabolic and proteomic signatures of type 2 diabetes subtypes in an Arab population.

Zaghlool, Shaza B., Gudmundsdottir, Valborg, Jennings, Lori, Gudnason, Vilmundar and Suhre, Karsten (2022) Metabolic and proteomic signatures of type 2 diabetes subtypes in an Arab population. Nature communications, 13 (1). p. 7121. ISSN 2041-1723

Abstract

Type 2 diabetes (T2D) has a heterogeneous etiology influencing its progression, treatment, and complications. A data driven cluster analysis in European individuals with T2D previously identified four subtypes: severe insulin deficient (SIDD), severe insulin resistant (SIRD), mild obesity-related (MOD), and mild age-related (MARD) diabetes. Here, the clustering approach was applied to individuals with T2D from the Qatar Biobank and validated in an independent set. Cluster-specific signatures of circulating metabolites and proteins were established, revealing subtype-specific molecular mechanisms, including activation of the complement system with features of autoimmune diabetes and reduced 1,5-anhydroglucitol in SIDD, impaired insulin signaling in SIRD, and elevated leptin and fatty acid binding protein levels in MOD. The MARD cluster was the healthiest with metabolomic and proteomic profiles most similar to the controls. We have translated the T2D subtypes to an Arab population and identified distinct molecular signatures to further our understanding of the etiology of these subtypes.

Item Type: Article
Keywords: Humans Diabetes Mellitus, Type 2 Proteomics Arabs Diabetes Mellitus, Type 1 Insulin
Date Deposited: 14 Feb 2023 00:45
Last Modified: 14 Feb 2023 00:45
URI: https://oak.novartis.com/id/eprint/47142

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