Literature DB >> 28770331

The pharmacogenetics of metformin.

Jose C Florez1,2,3,4,5.   

Abstract

Despite its widespread use as the first-line agent for the treatment of type 2 diabetes, it has become clear that metformin does not work optimally for everyone. Elucidating who are the likely metformin responders and non-responders is hampered by our limited knowledge of its precise molecular mechanism of action. One approach to achieve the related goals of stratifying patients into response subgroups and identifying the molecular targets of metformin involves the deployment of agnostic genome-wide approaches in cohorts of appropriate size to attain sufficient statistical power. While candidate gene studies have shed some light on the role of genetic variation in influencing metformin response, genome-wide association studies are beginning to provide additional insight that is unconstrained by prior knowledge. To fully realise their potential, much larger samples need to be assembled via international collaboration, preferably involving the academic community, government and the pharmaceutical industry.

Entities:  

Keywords:  Genome-wide association studies; Metformin; Pharmacogenetics; Review; Single nucleotide polymorphisms; Type 2 diabetes

Mesh:

Substances:

Year:  2017        PMID: 28770331      PMCID: PMC5709222          DOI: 10.1007/s00125-017-4335-y

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


  54 in total

1.  Metformin therapy for the reproductive and metabolic consequences of polycystic ovary syndrome.

Authors:  Susan Sam; David A Ehrmann
Journal:  Diabetologia       Date:  2017-08-03       Impact factor: 10.122

2.  Novel single nucleotide polymorphisms of organic cation transporter 1 (SLC22A1) affecting transport functions.

Authors:  Takeshi Sakata; Naohiko Anzai; Ho Jung Shin; Rie Noshiro; Taku Hirata; Hirokazu Yokoyama; Yoshikatsu Kanai; Hitoshi Endou
Journal:  Biochem Biophys Res Commun       Date:  2004-01-16       Impact factor: 3.575

3.  A human transporter protein that mediates the final excretion step for toxic organic cations.

Authors:  Masato Otsuka; Takuya Matsumoto; Riyo Morimoto; Shigeo Arioka; Hiroshi Omote; Yoshinori Moriyama
Journal:  Proc Natl Acad Sci U S A       Date:  2005-12-05       Impact factor: 11.205

4.  Management of hyperglycaemia in type 2 diabetes, 2015: a patient-centred approach. Update to a position statement of the American Diabetes Association and the European Association for the Study of Diabetes.

Authors:  Silvio E Inzucchi; Richard M Bergenstal; John B Buse; Michaela Diamant; Ele Ferrannini; Michael Nauck; Anne L Peters; Apostolos Tsapas; Richard Wender; David R Matthews
Journal:  Diabetologia       Date:  2015-01-13       Impact factor: 10.122

Review 5.  Metformin.

Authors:  C J Bailey; R C Turner
Journal:  N Engl J Med       Date:  1996-02-29       Impact factor: 91.245

6.  Genetic Polymorphisms in Organic Cation Transporter 1 Attenuates Hepatic Metformin Exposure in Humans.

Authors:  Eio Sundelin; L C Gormsen; J B Jensen; M H Vendelbo; S Jakobsen; O L Munk; Mmh Christensen; K Brøsen; J Frøkiaer; N Jessen
Journal:  Clin Pharmacol Ther       Date:  2017-06-01       Impact factor: 6.875

7.  Expression of organic cation transporters OCT1 (SLC22A1) and OCT3 (SLC22A3) is affected by genetic factors and cholestasis in human liver.

Authors:  Anne T Nies; Hermann Koepsell; Stefan Winter; Oliver Burk; Kathrin Klein; Reinhold Kerb; Ulrich M Zanger; Dietrich Keppler; Matthias Schwab; Elke Schaeffeler
Journal:  Hepatology       Date:  2009-10       Impact factor: 17.425

8.  The C allele of ATM rs11212617 does not associate with metformin response in the Diabetes Prevention Program.

Authors:  Jose C Florez; Kathleen A Jablonski; Andrew Taylor; Kieren Mather; Edward Horton; Neil H White; Elizabeth Barrett-Connor; William C Knowler; Alan R Shuldiner; Toni I Pollin
Journal:  Diabetes Care       Date:  2012-06-29       Impact factor: 19.112

9.  Common variants in 40 genes assessed for diabetes incidence and response to metformin and lifestyle intervention in the diabetes prevention program.

Authors:  Kathleen A Jablonski; Jarred B McAteer; Paul I W de Bakker; Paul W Franks; Toni I Pollin; Robert L Hanson; Richa Saxena; Sarah Fowler; Alan R Shuldiner; William C Knowler; David Altshuler; Jose C Florez
Journal:  Diabetes       Date:  2010-08-03       Impact factor: 9.461

10.  Variants in Pharmacokinetic Transporters and Glycemic Response to Metformin: A Metgen Meta-Analysis.

Authors:  T Dujic; K Zhou; S W Yee; N van Leeuwen; C E de Keyser; M Javorský; S Goswami; L Zaharenko; M M Hougaard Christensen; M Out; R Tavendale; M Kubo; M M Hedderson; A A van der Heijden; L Klimčáková; V Pirags; A Kooy; K Brøsen; J Klovins; S Semiz; I Tkáč; B H Stricker; Cna Palmer; L M 't Hart; K M Giacomini; E R Pearson
Journal:  Clin Pharmacol Ther       Date:  2017-02-03       Impact factor: 6.875

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  21 in total

Review 1.  The Continuing Evolution of Precision Health in Type 2 Diabetes: Achievements and Challenges.

Authors:  Yuan Lin; Jennifer Wessel
Journal:  Curr Diab Rep       Date:  2019-02-26       Impact factor: 4.810

2.  60 years of metformin use: a glance at the past and a look to the future.

Authors:  Sally M Marshall
Journal:  Diabetologia       Date:  2017-09       Impact factor: 10.122

3.  Evaluating the efficacy and mechanism of metformin targets on reducing Alzheimer's disease risk in the general population: a Mendelian randomisation study.

Authors:  Jie Zheng; Min Xu; Venexia Walker; Jinqiu Yuan; Roxanna Korologou-Linden; Jamie Robinson; Peiyuan Huang; Stephen Burgess; Shiu Lun Au Yeung; Shan Luo; Michael V Holmes; George Davey Smith; Guang Ning; Weiqing Wang; Tom R Gaunt; Yufang Bi
Journal:  Diabetologia       Date:  2022-07-29       Impact factor: 10.460

4.  Variants of SLC2A10 may be Linked to Poor Response to Metformin.

Authors:  Elizabeth Paz-Pacheco; Jose B Nevado; Eva Maria C Cutiongco-de la Paz; Gabriel V Jasul; Aimee Yvonne Criselle L Aman; Elizabeth Laurize A Ribaya; Mark David G Francisco; Ma Luz Vicenta V Guanzon; May L Uyking-Naranjo; Ma Cecille S Añonuevo-Cruz; Maria Patricia Deanna D Maningat; Cristina V Jaring; Paulette D Nacpil-Dominguez; Aniza B Pala-Mohamad; Abigail U Canto; John Paul M Quisumbing; Annabelle Marie M Lat; Diane Carla C Bernardo; Noemie Marie M Mansibang; Karell Jo Angelique C Calpito; Vincent Sean D Ribaya; Julius Patrick Y Ferrer; Jessica H Biwang; Jodelyn B Melegrito; Christian Deo T Deguit; Carlos Emmanuel G Panerio
Journal:  J Endocr Soc       Date:  2022-06-29

5.  Considerations Regarding Public Use of Longevity Interventions.

Authors:  Yasmine J Liu; Rebecca L McIntyre; Georges E Janssens
Journal:  Front Aging       Date:  2022-04-25

6.  Multi-Omic Approaches to Identify Genetic Factors in Metabolic Syndrome.

Authors:  Karen C Clark; Anne E Kwitek
Journal:  Compr Physiol       Date:  2021-12-29       Impact factor: 8.915

Review 7.  Human Genetics of Obesity and Type 2 Diabetes Mellitus: Past, Present, and Future.

Authors:  Erik Ingelsson; Mark I McCarthy
Journal:  Circ Genom Precis Med       Date:  2018-06

Review 8.  Exercise-Pharmacology Interactions: Metformin, Statins, and Healthspan.

Authors:  Benjamin F Miller; John P Thyfault
Journal:  Physiology (Bethesda)       Date:  2020-09-01

Review 9.  Metformin as a geroprotector: experimental and clinical evidence.

Authors:  Veronika Piskovatska; Nadiya Stefanyshyn; Kenneth B Storey; Alexander M Vaiserman; Oleh Lushchak
Journal:  Biogerontology       Date:  2018-09-25       Impact factor: 4.277

Review 10.  The mechanisms of action of metformin.

Authors:  Graham Rena; D Grahame Hardie; Ewan R Pearson
Journal:  Diabetologia       Date:  2017-08-03       Impact factor: 10.122

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