Literature DB >> 20194712

Individualizing therapies in type 2 diabetes mellitus based on patient characteristics: what we know and what we need to know.

Robert J Smith1, David M Nathan, Silva A Arslanian, Leif Groop, Robert A Rizza, Jerome I Rotter.   

Abstract

OBJECTIVE: Type 2 diabetes is heterogeneous in its clinical features, pathogenesis, and predisposing or causal genetic factors. This report examines what is known and what needs to be learned about the potential to individualize glycemic therapies in type 2 diabetes, based on phenotypes and genotypes. PARTICIPANTS: A 29-member international working group with expertise in diabetes epidemiology, physiology, genetics, clinical trials, and clinical care participated in formal presentations and discussions at a conference on April 16-17, 2009. A writing group subsequently prepared this summary and recommendations. The conference was coendorsed by The Endocrine Society and the American Diabetes Association and was supported by an unrestricted educational grant from Novo Nordisk. EVIDENCE: Participants reviewed and discussed published literature, plus their own unpublished data. CONSENSUS PROCESS: The summary and recommendations were supported unanimously by the writing group as representing the majority or unanimous opinions of the working group.
CONCLUSIONS: Recent advances in genetics, such as the identification of Kir6.2 mutations and the responsible genes for several forms of maturity onset diabetes of the young (MODY), have established precedents linking specifically effective therapies to defined diabetes subtypes. The recent increase in identified polygenic factors related to type 2 diabetes and our understanding of the pathogenesis of diabetes provide potential opportunities to individualize therapy. To further this process, we recommend expanded analysis of existing data sources and the development of new basic and clinical research studies, including a greater focus on identifying type 2 diabetes subtypes, their response to different therapies, and quantitation of cost-effectiveness.

Entities:  

Mesh:

Year:  2010        PMID: 20194712      PMCID: PMC5393381          DOI: 10.1210/jc.2009-1966

Source DB:  PubMed          Journal:  J Clin Endocrinol Metab        ISSN: 0021-972X            Impact factor:   5.958


  39 in total

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Authors:  S S Fajans; M C Cloutier; R L Crowther
Journal:  Diabetes       Date:  1978-11       Impact factor: 9.461

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Journal:  Diabetes       Date:  1960 Mar-Apr       Impact factor: 9.461

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Authors:  Thomas J Hoerger; Joel E Segel; Edward W Gregg; Jinan B Saaddine
Journal:  Diabetes Care       Date:  2007-10-12       Impact factor: 19.112

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Authors:  R B Tattersall
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5.  Youth type 2 diabetes: insulin resistance, beta-cell failure, or both?

Authors:  Neslihan Gungor; Fida Bacha; Rola Saad; Janine Janosky; Silva Arslanian
Journal:  Diabetes Care       Date:  2005-03       Impact factor: 19.112

6.  Glibenclamide treatment in permanent neonatal diabetes mellitus due to an activating mutation in Kir6.2.

Authors:  Amnon Zung; Benjamin Glaser; Revital Nimri; Zvi Zadik
Journal:  J Clin Endocrinol Metab       Date:  2004-11       Impact factor: 5.958

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Authors:  Andrew T Hattersley
Journal:  Clin Med (Lond)       Date:  2005 Sep-Oct       Impact factor: 2.659

Review 8.  Type 2 diabetes mellitus in children and youth: a new epidemic.

Authors:  Francine Ratner Kaufman
Journal:  J Pediatr Endocrinol Metab       Date:  2002-05       Impact factor: 1.634

9.  The burden of treatment failure in type 2 diabetes.

Authors:  Jonathan B Brown; Gregory A Nichols; Andrew Perry
Journal:  Diabetes Care       Date:  2004-07       Impact factor: 19.112

10.  Ser1369Ala variant in sulfonylurea receptor gene ABCC8 is associated with antidiabetic efficacy of gliclazide in Chinese type 2 diabetic patients.

Authors:  Yan Feng; Guangyun Mao; Xiaowei Ren; Houxun Xing; Genfu Tang; Qiang Li; Xueqi Li; Lirong Sun; Jinqui Yang; Weiqing Ma; Xiaobin Wang; Xiping Xu
Journal:  Diabetes Care       Date:  2008-07-03       Impact factor: 17.152

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  38 in total

1.  Locating the source of hyperglycemia: liver versus muscle.

Authors:  Haoyong Yu; Dequan Zhou; Weiping Jia; ZengKui Guo
Journal:  J Diabetes       Date:  2012-03       Impact factor: 4.006

2.  Management of hyperglycaemia in type 2 diabetes: a patient-centered approach. Position statement of the American Diabetes Association (ADA) and the European Association for the Study of Diabetes (EASD).

Authors:  S E Inzucchi; R M Bergenstal; J B Buse; M Diamant; E Ferrannini; M Nauck; A L Peters; A Tsapas; R Wender; D R Matthews
Journal:  Diabetologia       Date:  2012-04-20       Impact factor: 10.122

Review 3.  Insulin resistance in type 2 diabetic youth.

Authors:  Kara Mizokami-Stout; Melanie Cree-Green; Kristen J Nadeau
Journal:  Curr Opin Endocrinol Diabetes Obes       Date:  2012-08       Impact factor: 3.243

4.  Guidelines: we'll always need them, we sometimes dislike them, and we have to make them better.

Authors:  R Kahn
Journal:  Diabetologia       Date:  2010-08-25       Impact factor: 10.122

5.  Pharmacogenetics of oral antidiabetes drugs: evidence for diverse signals at the IRS1 locus.

Authors:  S Prudente; R Di Paola; S Pezzilli; M Garofolo; O Lamacchia; T Filardi; G C Mannino; L Mercuri; F Alberico; M G Scarale; G Sesti; S Morano; G Penno; M Cignarelli; M Copetti; V Trischitta
Journal:  Pharmacogenomics J       Date:  2017-07-11       Impact factor: 3.550

6.  Personalized medicine of type 2 diabetes.

Authors:  Weiping Jia
Journal:  Front Med       Date:  2013-03       Impact factor: 4.592

Review 7.  Text-mining solutions for biomedical research: enabling integrative biology.

Authors:  Dietrich Rebholz-Schuhmann; Anika Oellrich; Robert Hoehndorf
Journal:  Nat Rev Genet       Date:  2012-11-14       Impact factor: 53.242

Review 8.  A Review of Emerging Technologies for the Management of Diabetes Mellitus.

Authors:  Konstantia Zarkogianni; Eleni Litsa; Konstantinos Mitsis; Po-Yen Wu; Chanchala D Kaddi; Chih-Wen Cheng; May D Wang; Konstantina S Nikita
Journal:  IEEE Trans Biomed Eng       Date:  2015-08-19       Impact factor: 4.538

Review 9.  Coupling of metabolic, second messenger pathways and insulin granule dynamics in pancreatic beta-cells: a computational analysis.

Authors:  Leonid E Fridlyand; Louis H Philipson
Journal:  Prog Biophys Mol Biol       Date:  2011-09-08       Impact factor: 3.667

Review 10.  Recent advances in the molecular genetics of type 2 diabetes mellitus.

Authors:  Antonio Brunetti; Eusebio Chiefari; Daniela Foti
Journal:  World J Diabetes       Date:  2014-04-15
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