Subgroups of patients with young-onset type 2 diabetes in India reveal insulin deficiency as a major driver
Autor: | Annemari Käräjämäki, Sanat Phatak, Banshi Saboo, Meet Shah, Rucha H. Wagh, Emma Ahlqvist, Rashmi B. Prasad, Anupam Datta, Olof Asplund, Malay Parikh, Sanjeeb Kakati, Leif Groop, Pooja Kunte, Tiinamaija Tuomi, Sharvari Rahul Shukla, Chittaranjan S. Yajnik, Dattatrey Bhat |
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Přispěvatelé: | Centre of Excellence in Complex Disease Genetics, HUS Abdominal Center, Institute for Molecular Medicine Finland, Tiinamaija Tuomi Research Group, University Management, CAMM - Research Program for Clinical and Molecular Metabolism, Endokrinologian yksikkö, Leif Groop Research Group |
Rok vydání: | 2021 |
Předmět: |
medicine.medical_specialty
Endocrinology Diabetes and Metabolism India 030209 endocrinology & metabolism Type 2 diabetes Article Nephropathy Young-onset type 2 diabetes 03 medical and health sciences 0302 clinical medicine Insulin resistance HYPERGLYCEMIA Diabetes mellitus Internal medicine Internal Medicine Medicine 030304 developmental biology RISK 0303 health sciences business.industry Subgroups HOMEOSTASIS MODEL ASSESSMENT medicine.disease Obesity Europe SIDD OBESITY 3121 General medicine internal medicine and other clinical medicine Cohort ADIPOSITY business Complication RESISTANCE Insulin deficiency |
Zdroj: | Diabetologia |
ISSN: | 1432-0428 0012-186X |
Popis: | Aim/hypothesis Five subgroups were described in European diabetes patients using a data driven machine learning approach on commonly measured variables. We aimed to test the applicability of this phenotyping in Indian individuals with young-onset type 2 diabetes. Methods We applied the European-derived centroids to Indian individuals with type 2 diabetes diagnosed before 45 years of age from the WellGen cohort (n = 1612). We also applied de novo k-means clustering to the WellGen cohort to validate the subgroups. We then compared clinical and metabolic-endocrine characteristics and the complication rates between the subgroups. We also compared characteristics of the WellGen subgroups with those of two young European cohorts, ANDIS (n = 962) and DIREVA (n = 420). Subgroups were also assessed in two other Indian cohorts, Ahmedabad (n = 187) and PHENOEINDY-2 (n = 205). Results Both Indian and European young-onset type 2 diabetes patients were predominantly classified into severe insulin-deficient (SIDD) and mild obesity-related (MOD) subgroups, while the severe insulin-resistant (SIRD) and mild age-related (MARD) subgroups were rare. In WellGen, SIDD (53%) was more common than MOD (38%), contrary to findings in Europeans (Swedish 26% vs 68%, Finnish 24% vs 71%, respectively). A higher proportion of SIDD compared with MOD was also seen in Ahmedabad (57% vs 33%) and in PHENOEINDY-2 (67% vs 23%). Both in Indians and Europeans, the SIDD subgroup was characterised by insulin deficiency and hyperglycaemia, MOD by obesity, SIRD by severe insulin resistance and MARD by mild metabolic-endocrine disturbances. In WellGen, nephropathy and retinopathy were more prevalent in SIDD compared with MOD while the latter had higher prevalence of neuropathy. Conclusions /interpretation Our data identified insulin deficiency as the major driver of type 2 diabetes in young Indians, unlike in young European individuals in whom obesity and insulin resistance predominate. Our results provide useful clues to pathophysiological mechanisms and susceptibility to complications in type 2 diabetes in the young Indian population and suggest a need to review management strategies. Graphical abstract |
Databáze: | OpenAIRE |
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