دورية أكاديمية
Four groups of type 2 diabetes contribute to the etiological and clinical heterogeneity in newly diagnosed individuals: An IMI DIRECT study
| العنوان: | Four groups of type 2 diabetes contribute to the etiological and clinical heterogeneity in newly diagnosed individuals: An IMI DIRECT study |
|---|---|
| المؤلفون: | Wesolowska-Andersen, A, Brorsson, CA, Bizzotto, R, Mari, A, Tura, A, Koivula, R, Mahajan, A, Vinuela, A, Tajes, JF, Sharma, S, Haid, M, Prehn, C, Artati, A, Hong, MG, Musholt, PB, Kurbasic, A, De Masi, F, Tsirigos, K, Pedersen, HK, Gudmundsdottir, V, Thomas, CE, Banasik, K, Jennison, C, Jones, A, Kennedy, G, Bell, J, Thomas, L, Frost, G, Thomsen, H, Allin, K, Hansen, TH, Vestergaard, H, Hansen, T, Rutters, F, Elders, P, t'Hart, L, Bonnefond, A, Canouil, M, Brage, S, Kokkola, T, Heggie, A, McEvoy, D, Hattersley, A, McDonald, T, Teare, H, Ridderstrale, M, Walker, M, Forgie, I, Giordano, GN, Froguel, P, Pavo, I, Ruetten, H, Pedersen, O, Dermitzakis, E, Franks, PW, Schwenk, JM, Adamski, J, Pearson, E, McCarthy, MI, Brunak, S |
| المصدر: | nlmid: 101766894 ; essn: 2666-3791 |
| بيانات النشر: | Elsevier BV //dx.doi.org/10.1016/j.xcrm.2021.100477 Cell Reports Medicine |
| سنة النشر: | 2022 |
| المجموعة: | Apollo - University of Cambridge Repository |
| مصطلحات موضوعية: | archetypes, disease progression, glycaemic deterioration, multi-omics, patient clustering, patient stratification, precision medicine, soft-clustering, type 2 diabetes, Adult, Diabetes Mellitus, Type 2, Female, Follow-Up Studies, Genetic Predisposition to Disease, Genomics, Humans, Male, Middle Aged, Phenotype, Risk Factors |
| الوصف: | 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. |
| نوع الوثيقة: | article in journal/newspaper |
| وصف الملف: | application/pdf |
| اللغة: | English |
| العلاقة: | https://www.repository.cam.ac.uk/handle/1810/334703Test |
| DOI: | 10.17863/CAM.82121 |
| الإتاحة: | https://doi.org/10.17863/CAM.82121Test https://www.repository.cam.ac.uk/handle/1810/334703Test |
| حقوق: | Attribution 4.0 International ; https://creativecommons.org/licenses/by/4.0Test/ |
| رقم الانضمام: | edsbas.8FBD13D1 |
| قاعدة البيانات: | BASE |
| DOI: | 10.17863/CAM.82121 |
|---|