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

journal contribution
submitted on 2024-04-25, 06:35 and posted on 2024-04-25, 06:36 authored by Shaza B. Zaghlool, Anna Halama, Nisha Stephan, Valborg Gudmundsdottir, Vilmundur Gudnason, Lori L. Jennings, Manonanthini Thangam, Emma Ahlqvist, Rayaz A. Malik, Omar M. E. Albagha, Abdul Badi Abou‑Samra, Karsten Suhre

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.

Other Information

Published in: Nature Communications
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  • English


Springer Nature

Publication Year

  • 2022

License statement

This Item is licensed under the Creative Commons Attribution 4.0 International License.

Institution affiliated with

  • Weill Cornell Medicine - Qatar
  • Hamad Bin Khalifa University
  • College of Health and Life Sciences - HBKU
  • Hamad Medical Corporation
  • Qatar Metabolic Institute - HMC

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