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Subtypes of type 2 diabetes determined from clinical parameters

Ahlqvist, Emma (author)
Lund University,Lunds universitet,Translationell muskelforskning,Forskargrupper vid Lunds universitet,Translational Muscle Research,Lund University Research Groups
Prasad, Rashmi B. (author)
Lund University,Lunds universitet,Translationell muskelforskning,Forskargrupper vid Lunds universitet,Translational Muscle Research,Lund University Research Groups
Groop, Leif (author)
Lund University,Lunds universitet,Translationell muskelforskning,Forskargrupper vid Lunds universitet,Translational Muscle Research,Lund University Research Groups,University of Helsinki,Institute for Molecular Medicine Finland (FIMM)
 (creator_code:org_t)
2020-08-25
2020
English 8 s.
In: Diabetes. - : American Diabetes Association. - 0012-1797 .- 1939-327X. ; 69:10, s. 2086-2093
  • Research review (peer-reviewed)
Abstract Subject headings
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  • Type 2 diabetes (T2D) is defined by a single metabolite, glucose, but is increasingly recognized as a highly heterogeneous disease, including individuals with varying clinical characteristics, disease progression, drug response, and risk of complications. Identification of subtypes with differing risk profiles and disease etiologies at diagnosis could open up avenues for personalized medicine and allow clinical resources to be focused to the patients who would be most likely to develop diabetic complications, thereby both im-proving patient health and reducing costs for the health sector. More homogeneous populations also offer increased power in experimental, genetic, and clinical studies. Clinical parameters are easily available and reflect relevant disease pathways, including the effects of both genetic and environmental exposures. We used six clinical parameters (GAD autoantibodies, age at diabetes onset, HbA1c, BMI, and measures of insulin resistance and insulin secretion) to cluster adult-onset diabetes patients into five subtypes. These sub-types have been robustly reproduced in several populations and associated with different risks of complications, comor-bidities, genetics, and response to treatment. Importantly, the group with severe insulin-deficient diabetes (SIDD) had increased risk of retinopathy and neuropathy, whereas the severe insulin-resistant diabetes (SIRD) group had the highest risk for diabetic kidney disease (DKD) and fatty liver, empha-sizing the importance of insulin resistance for DKD and hepatosteatosis in T2D. In conclusion, we believe that sub-classification using these highly relevant parameters could provide a framework for personalized medicine in diabetes.

Subject headings

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

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diabetes
diabetics

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Ahlqvist, Emma
Prasad, Rashmi B ...
Groop, Leif
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MEDICAL AND HEALTH SCIENCES
MEDICAL AND HEAL ...
and Clinical Medicin ...
and Endocrinology an ...
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Diabetes
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Lund University

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