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Four groups of type...
Four groups of type 2 diabetes contribute to the etiological and clinical heterogeneity in newly diagnosed individuals: An IMI DIRECT study
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- Wesolowska-Andersen, A. (författare)
- University of Oxford,Univ Oxford, Wellcome Ctr Human Genet, Oxford, England.
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- Kurbasic, Azra (författare)
- Lund University,Lunds universitet,Genetisk och molekylär epidemiologi,Forskargrupper vid Lunds universitet,Genetic and Molecular Epidemiology,Lund University Research Groups
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- Franks, Paul (författare)
- Lund University,Lunds universitet,Genetisk och molekylär epidemiologi,Forskargrupper vid Lunds universitet,Genetic and Molecular Epidemiology,Lund University Research Groups
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- Brunak, Soren (författare)
- Technical University of Denmark,University of Copenhagen,Tech Univ Denmark, Dept Hlth Technol, Lyngby, Denmark.;Univ Copenhagen, Novo Nordisk Fdn, Fac Hlth & Med Sci, Ctr Prot Res, Copenhagen, Denmark.
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- Hong, Mun-Gwan (författare)
- KTH,Science for Life Laboratory, SciLifeLab,Affinitets-proteomik
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- Schwenk, Jochen M. (författare)
- KTH,Science for Life Laboratory, SciLifeLab,Affinitets-proteomik
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- Pearson, Ewan (författare)
- Univ Dundee, Dundee, Scotland.
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University of Oxford Univ Oxford, Wellcome Ctr Human Genet, Oxford, England (creator_code:org_t)
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- Elsevier BV, 2022
- 2022
- Engelska.
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Ingår i: Cell Reports Medicine. - : Elsevier BV. - 2666-3791. ; 3:1
- Relaterad länk:
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http://dx.doi.org/10... (free)
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https://doi.org/10.1...
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https://lup.lub.lu.s...
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https://urn.kb.se/re...
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Abstract
Ämnesord
Stäng
- The presentation and underlying pathophysiology of type 2 diabetes (T2D) is complex and heterogeneous. Recent studies attempted to stratify T2D into distinct subgroups using data-driven approaches, but their clinical utility may be limited if categorical representations of complex phenotypes are suboptimal. We apply a soft-clustering (archetype) method to characterize newly diagnosed T2D based on 32 clinical variables. We assign quantitative clustering scores for individuals and investigate the associations with glycemic deterioration, genetic risk scores, circulating omics biomarkers, and phenotypic stability over 36 months. Four archetype profiles represent dysfunction patterns across combinations of T2D etiological processes and correlate with multiple circulating biomarkers. One archetype associated with obesity, insulin resistance, dyslipidemia, and impaired β cell glucose sensitivity corresponds with the fastest disease progression and highest demand for anti-diabetic treatment. We demonstrate that clinical heterogeneity in T2D can be mapped to heterogeneity in individual etiological processes, providing a potential route to personalized treatments. © 2021 The Authors
Ämnesord
- MEDICIN OCH HÄLSOVETENSKAP -- Klinisk medicin -- Endokrinologi och diabetes (hsv//swe)
- MEDICAL AND HEALTH SCIENCES -- Clinical Medicine -- Endocrinology and Diabetes (hsv//eng)
Nyckelord
- archetypes
- disease progression
- glycaemic deterioration
- multi-omics
- patient clustering
- patient stratification
- precision medicine
- soft-clustering
- type 2 diabetes
Publikations- och innehållstyp
- art (ämneskategori)
- ref (ämneskategori)
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