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

Zaghlool, Shaza B. (author)
Weill Cornell Medicine, Qatar
Halama, Anna (author)
Weill Cornell Medicine, Qatar
Stephan, Nisha (author)
Weill Cornell Medicine, Qatar
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Gudmundsdottir, Valborg (author)
University of Iceland,Icelandic Heart Association
Gudnason, Vilmundur (author)
University of Iceland,Icelandic Heart Association
Jennings, Lori L. (author)
Novartis Institutes for BioMedical Research, Inc.
Thangam, Manonanthini (author)
Lund University,Lunds universitet,Translationell muskelforskning,Forskargrupper vid Lunds universitet,Translational Muscle Research,Lund University Research Groups
Ahlqvist, Emma (author)
Lund University,Lunds universitet,Translationell muskelforskning,Forskargrupper vid Lunds universitet,Translational Muscle Research,Lund University Research Groups
Malik, Rayaz A. (author)
Weill Cornell Medicine, Qatar
Albagha, Omar M.E. (author)
University of Edinburgh
Abou‑Samra, Abdul Badi (author)
Hamad Medical Corporation
Suhre, Karsten (author)
Weill Cornell Medicine, Qatar
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 (creator_code:org_t)
2022-11-19
2022
English.
In: Nature Communications. - : Springer Science and Business Media LLC. - 2041-1723. ; 13:1
  • Journal article (peer-reviewed)
Abstract Subject headings
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  • 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.

Subject headings

MEDICIN OCH HÄLSOVETENSKAP  -- Klinisk medicin -- Endokrinologi och diabetes (hsv//swe)
MEDICAL AND HEALTH SCIENCES  -- Clinical Medicine -- Endocrinology and Diabetes (hsv//eng)

Keyword

ANDIS
diabetes

Publication and Content Type

art (subject category)
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