Literature DB >> 32556613

Precision medicine in diabetes: a Consensus Report from the American Diabetes Association (ADA) and the European Association for the Study of Diabetes (EASD).

Wendy K Chung1,2, Karel Erion3, Jose C Florez4,5,6,7,8, Andrew T Hattersley9, Marie-France Hivert5,10, Christine G Lee11, Mark I McCarthy12,13,14, John J Nolan15, Jill M Norris16, Ewan R Pearson17, Louis Philipson18,19, Allison T McElvaine20, William T Cefalu11, Stephen S Rich21,22, Paul W Franks23,24.   

Abstract

The convergence of advances in medical science, human biology, data science and technology has enabled the generation of new insights into the phenotype known as 'diabetes'. Increased knowledge of this condition has emerged from populations around the world, illuminating the differences in how diabetes presents, its variable prevalence and how best practice in treatment varies between populations. In parallel, focus has been placed on the development of tools for the application of precision medicine to numerous conditions. This Consensus Report presents the American Diabetes Association (ADA) Precision Medicine in Diabetes Initiative in partnership with the European Association for the Study of Diabetes (EASD), including its mission, the current state of the field and prospects for the future. Expert opinions are presented on areas of precision diagnostics and precision therapeutics (including prevention and treatment) and key barriers to and opportunities for implementation of precision diabetes medicine, with better care and outcomes around the globe, are highlighted. Cases where precision diagnosis is already feasible and effective (i.e. monogenic forms of diabetes) are presented, while the major hurdles to the global implementation of precision diagnosis of complex forms of diabetes are discussed. The situation is similar for precision therapeutics, in which the appropriate therapy will often change over time owing to the manner in which diabetes evolves within individual patients. This Consensus Report describes a foundation for precision diabetes medicine, while highlighting what remains to be done to realise its potential. This, combined with a subsequent, detailed evidence-based review (due 2022), will provide a roadmap for precision medicine in diabetes that helps improve the quality of life for all those with diabetes.

Entities:  

Keywords:  Diabetes; Precision diagnostics; Precision medicine; Precision prevention; Precision therapeutics; Precision treatment; Prediction; Prognosis

Mesh:

Year:  2020        PMID: 32556613      PMCID: PMC8185455          DOI: 10.1007/s00125-020-05181-w

Source DB:  PubMed          Journal:  Diabetologia        ISSN: 0012-186X            Impact factor:   10.122


  134 in total

1.  Effects of Pro12Ala polymorphism of peroxisome proliferator-activated receptor gamma2 gene on rosiglitazone response in type 2 diabetes.

Authors:  Eun Seok Kang; So Young Park; Hyeong Jin Kim; Chul Sik Kim; Chul Woo Ahn; Bong Soo Cha; Sung Kil Lim; Chung Mo Nam; Hyun Chul Lee
Journal:  Clin Pharmacol Ther       Date:  2005-08       Impact factor: 6.875

2.  An Anti-CD3 Antibody, Teplizumab, in Relatives at Risk for Type 1 Diabetes.

Authors:  Kevan C Herold; Brian N Bundy; S Alice Long; Jeffrey A Bluestone; Linda A DiMeglio; Matthew J Dufort; Stephen E Gitelman; Peter A Gottlieb; Jeffrey P Krischer; Peter S Linsley; Jennifer B Marks; Wayne Moore; Antoinette Moran; Henry Rodriguez; William E Russell; Desmond Schatz; Jay S Skyler; Eva Tsalikian; Diane K Wherrett; Anette-Gabriele Ziegler; Carla J Greenbaum
Journal:  N Engl J Med       Date:  2019-06-09       Impact factor: 91.245

3.  Differing effects of metformin on glycemic control by race-ethnicity.

Authors:  L Keoki Williams; Badri Padhukasahasram; Brian K Ahmedani; Edward L Peterson; Karen E Wells; Esteban González Burchard; David E Lanfear
Journal:  J Clin Endocrinol Metab       Date:  2014-06-12       Impact factor: 5.958

4.  The use of intermediate endpoints in the design of type 1 diabetes prevention trials.

Authors:  Jeffrey P Krischer
Journal:  Diabetologia       Date:  2013-06-07       Impact factor: 10.122

5.  Effect of genetic variation in the organic cation transporter 1 (OCT1) on metformin action.

Authors:  Yan Shu; Steven A Sheardown; Chaline Brown; Ryan P Owen; Shuzhong Zhang; Richard A Castro; Alexandra G Ianculescu; Lin Yue; Joan C Lo; Esteban G Burchard; Claire M Brett; Kathleen M Giacomini
Journal:  J Clin Invest       Date:  2007-05       Impact factor: 14.808

6.  Activating mutations in the gene encoding the ATP-sensitive potassium-channel subunit Kir6.2 and permanent neonatal diabetes.

Authors:  Anna L Gloyn; Ewan R Pearson; Jennifer F Antcliff; Peter Proks; G Jan Bruining; Annabelle S Slingerland; Neville Howard; Shubha Srinivasan; José M C L Silva; Janne Molnes; Emma L Edghill; Timothy M Frayling; I Karen Temple; Deborah Mackay; Julian P H Shield; Zdenek Sumnik; Adrian van Rhijn; Jerry K H Wales; Penelope Clark; Shaun Gorman; Javier Aisenberg; Sian Ellard; Pål R Njølstad; Frances M Ashcroft; Andrew T Hattersley
Journal:  N Engl J Med       Date:  2004-04-29       Impact factor: 91.245

Review 7.  Differences in the glucose-lowering efficacy of dipeptidyl peptidase-4 inhibitors between Asians and non-Asians: a systematic review and meta-analysis.

Authors:  Y G Kim; S Hahn; T J Oh; S H Kwak; K S Park; Y M Cho
Journal:  Diabetologia       Date:  2013-01-24       Impact factor: 10.122

8.  Precision Medicine in Type 2 Diabetes: Clinical Markers of Insulin Resistance Are Associated With Altered Short- and Long-term Glycemic Response to DPP-4 Inhibitor Therapy.

Authors:  John M Dennis; Beverley M Shields; Anita V Hill; Bridget A Knight; Timothy J McDonald; Lauren R Rodgers; Michael N Weedon; William E Henley; Naveed Sattar; Rury R Holman; Ewan R Pearson; Andrew T Hattersley; Angus G Jones
Journal:  Diabetes Care       Date:  2018-01-31       Impact factor: 19.112

Review 9.  HNF1B-associated renal and extra-renal disease-an expanding clinical spectrum.

Authors:  Rhian L Clissold; Alexander J Hamilton; Andrew T Hattersley; Sian Ellard; Coralie Bingham
Journal:  Nat Rev Nephrol       Date:  2014-12-23       Impact factor: 28.314

10.  Genetic Predisposition to Weight Loss and Regain With Lifestyle Intervention: Analyses From the Diabetes Prevention Program and the Look AHEAD Randomized Controlled Trials.

Authors:  George D Papandonatos; Qing Pan; Nicholas M Pajewski; Linda M Delahanty; Inga Peter; Bahar Erar; Shafqat Ahmad; Maegan Harden; Ling Chen; Pierre Fontanillas; Lynne E Wagenknecht; Steven E Kahn; Rena R Wing; Kathleen A Jablonski; Gordon S Huggins; William C Knowler; Jose C Florez; Jeanne M McCaffery; Paul W Franks
Journal:  Diabetes       Date:  2015-08-07       Impact factor: 9.337

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  29 in total

1.  Individualised screening of diabetic foot: creation of a prediction model based on penalised regression and assessment of theoretical efficacy.

Authors:  Iztok Štotl; Rok Blagus; Vilma Urbančič-Rovan
Journal:  Diabetologia       Date:  2021-11-06       Impact factor: 10.122

2.  The management of type 1 diabetes in adults. A consensus report by the American Diabetes Association (ADA) and the European Association for the Study of Diabetes (EASD).

Authors:  Richard I G Holt; J Hans DeVries; Amy Hess-Fischl; Irl B Hirsch; M Sue Kirkman; Tomasz Klupa; Barbara Ludwig; Kirsten Nørgaard; Jeremy Pettus; Eric Renard; Jay S Skyler; Frank J Snoek; Ruth S Weinstock; Anne L Peters
Journal:  Diabetologia       Date:  2021-12       Impact factor: 10.122

3.  Clinical variable-based cluster analysis identifies novel subgroups with a distinct genetic signature, lipidomic pattern and cardio-renal risks in Asian patients with recent-onset type 2 diabetes.

Authors:  Jiexun Wang; Jian-Jun Liu; Resham L Gurung; Sylvia Liu; Janus Lee; Yiamunaa M; Keven Ang; Yi Ming Shao; Justin I-Shing Tang; Peter I Benke; Federico Torta; Markus R Wenk; Subramaniam Tavintharan; Wern Ee Tang; Chee Fang Sum; Su Chi Lim
Journal:  Diabetologia       Date:  2022-06-28       Impact factor: 10.460

Review 4.  Adult-onset autoimmune diabetes.

Authors:  Raffaella Buzzetti; Ernesto Maddaloni; Jason Gaglia; R David Leslie; F Susan Wong; Bernhard O Boehm
Journal:  Nat Rev Dis Primers       Date:  2022-09-22       Impact factor: 65.038

Review 5.  Precision nutrition in diabetes: when population-based dietary advice gets personal.

Authors:  Jordi Merino
Journal:  Diabetologia       Date:  2022-05-20       Impact factor: 10.460

Review 6.  Type 1 diabetes mellitus: much progress, many opportunities.

Authors:  Alvin C Powers
Journal:  J Clin Invest       Date:  2021-04-15       Impact factor: 14.808

Review 7.  Metabolomics of Type 1 and Type 2 Diabetes: Insights into Risk Prediction and Mechanisms.

Authors:  Daniel Gonzalez Izundegui; Matthew Nayor
Journal:  Curr Diab Rep       Date:  2022-02-03       Impact factor: 4.810

8.  Prototype of an evidence-based tool to aid individualized treatment for type 2 diabetes.

Authors:  John B Buse; Ingrid Holst; Filip K Knop; Kajsa Kvist; Desirée Thielke; Richard Pratley
Journal:  Diabetes Obes Metab       Date:  2021-05-04       Impact factor: 6.577

Review 9.  Toward an Improved Classification of Type 2 Diabetes: Lessons From Research into the Heterogeneity of a Complex Disease.

Authors:  Maria J Redondo; Ashok Balasubramanyam
Journal:  J Clin Endocrinol Metab       Date:  2021-11-19       Impact factor: 6.134

10.  SGLT-2i and Risk of Malignancy in Type 2 Diabetes: A Meta-Analysis of Randomized Controlled Trials.

Authors:  Nanjing Shi; Yetan Shi; Jingsi Xu; Yuexiu Si; Tong Yang; Mengting Zhang; Derry Minyao Ng; Xiangyuan Li; Fei Xie
Journal:  Front Public Health       Date:  2021-06-07
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