Literature DB >> 22895670

Genetics of glucose homeostasis: implications for insulin resistance and metabolic syndrome.

Jill M Norris1, Stephen S Rich.   

Abstract

This review summarizes the current understanding of the genetic basis of glucose homeostasis through genome-wide association scans and candidate gene studies of case-control and family-based designs. We highlight the implications of phenotype-direct (euglycemic clamp or frequently sampled intravenous glucose tolerance test) and indirect (fasting insulin and fasting glucose) measures on the determinants of insulin resistance and β-cell response that precede and contribute to the development of type 2 diabetes mellitus (T2DM) and the metabolic syndrome. Finally, we examine future approaches that may aid in understanding the biology of insulin resistance and T2DM. Over the past 2 decades, the prevalence of insulin resistance, the metabolic syndrome, and T2DM has increased. Ethnic differences in T2DM and insulin resistance are evident, with nonwhite populations having the greatest risk. There continue to be significant gaps in our knowledge regarding the metabolic, behavioral, and genetic determinants of these conditions. Understanding the genetic basis of glucose homeostasis, insulin resistance, and T2DM should provide insight on known and novel metabolic pathways that identify potential therapeutic targets and mechanisms for intervention.

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Year:  2012        PMID: 22895670      PMCID: PMC3988457          DOI: 10.1161/ATVBAHA.112.255463

Source DB:  PubMed          Journal:  Arterioscler Thromb Vasc Biol        ISSN: 1079-5642            Impact factor:   8.311


  36 in total

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Journal:  Br J Nutr       Date:  2000-03       Impact factor: 3.718

2.  Increased proinsulin levels and decreased acute insulin response independently predict the incidence of type 2 diabetes in the insulin resistance atherosclerosis study.

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Journal:  Diabetes       Date:  2002-04       Impact factor: 9.461

3.  Physiologic evaluation of factors controlling glucose tolerance in man: measurement of insulin sensitivity and beta-cell glucose sensitivity from the response to intravenous glucose.

Authors:  R N Bergman; L S Phillips; C Cobelli
Journal:  J Clin Invest       Date:  1981-12       Impact factor: 14.808

Review 4.  Accurate assessment of beta-cell function: the hyperbolic correction.

Authors:  Richard N Bergman; Marilyn Ader; Katrin Huecking; Gregg Van Citters
Journal:  Diabetes       Date:  2002-02       Impact factor: 9.461

5.  Genomic scan of glucose and insulin metabolism phenotypes: the HERITAGE Family Study.

Authors:  Ping An; Yuling Hong; S John Weisnagel; Treva Rice; Tuomo Rankinen; Arthur S Leon; James S Skinner; Jack H Wilmore; Yvon C Chagnon; Richard N Bergman; Claude Bouchard; D C Rao
Journal:  Metabolism       Date:  2003-02       Impact factor: 8.694

6.  Low insulin sensitivity (S(i) = 0) in diabetic and nondiabetic subjects in the insulin resistance atherosclerosis study: is it associated with components of the metabolic syndrome and nontraditional risk factors?

Authors:  Steven M Haffner; Ralph D'Agostino; Andreas Festa; Richard N Bergman; Leena Mykkänen; Andrew Karter; Mohammed F Saad; Lynne E Wagenknecht
Journal:  Diabetes Care       Date:  2003-10       Impact factor: 19.112

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Authors:  S M Haffner; M P Stern; H P Hazuda; J A Pugh; J K Patterson
Journal:  N Engl J Med       Date:  1986-07-24       Impact factor: 91.245

8.  Minimal model-based insulin sensitivity has greater heritability and a different genetic basis than homeostasis model assessment or fasting insulin.

Authors:  Richard N Bergman; Daniel J Zaccaro; Richard M Watanabe; Steven M Haffner; Mohammed F Saad; Jill M Norris; Lynne E Wagenknecht; James E Hokanson; Jerome I Rotter; Steven S Rich
Journal:  Diabetes       Date:  2003-08       Impact factor: 9.461

9.  Identification of quantitative trait loci for glucose homeostasis: the Insulin Resistance Atherosclerosis Study (IRAS) Family Study.

Authors:  Stephen S Rich; Donald W Bowden; Steven M Haffner; Jill M Norris; Mohammed F Saad; Braxton D Mitchell; Jerome I Rotter; Carl D Langefeld; Lynne E Wagenknecht; Richard N Bergman
Journal:  Diabetes       Date:  2004-07       Impact factor: 9.461

10.  A genome-wide approach accounting for body mass index identifies genetic variants influencing fasting glycemic traits and insulin resistance.

Authors:  Alisa K Manning; Marie-France Hivert; Robert A Scott; Jonna L Grimsby; Nabila Bouatia-Naji; Han Chen; Denis Rybin; Ching-Ti Liu; Lawrence F Bielak; Inga Prokopenko; Najaf Amin; Daniel Barnes; Gemma Cadby; Jouke-Jan Hottenga; Erik Ingelsson; Anne U Jackson; Toby Johnson; Stavroula Kanoni; Claes Ladenvall; Vasiliki Lagou; Jari Lahti; Cecile Lecoeur; Yongmei Liu; Maria Teresa Martinez-Larrad; May E Montasser; Pau Navarro; John R B Perry; Laura J Rasmussen-Torvik; Perttu Salo; Naveed Sattar; Dmitry Shungin; Rona J Strawbridge; Toshiko Tanaka; Cornelia M van Duijn; Ping An; Mariza de Andrade; Jeanette S Andrews; Thor Aspelund; Mustafa Atalay; Yurii Aulchenko; Beverley Balkau; Stefania Bandinelli; Jacques S Beckmann; John P Beilby; Claire Bellis; Richard N Bergman; John Blangero; Mladen Boban; Michael Boehnke; Eric Boerwinkle; Lori L Bonnycastle; Dorret I Boomsma; Ingrid B Borecki; Yvonne Böttcher; Claude Bouchard; Eric Brunner; Danijela Budimir; Harry Campbell; Olga Carlson; Peter S Chines; Robert Clarke; Francis S Collins; Arturo Corbatón-Anchuelo; David Couper; Ulf de Faire; George V Dedoussis; Panos Deloukas; Maria Dimitriou; Josephine M Egan; Gudny Eiriksdottir; Michael R Erdos; Johan G Eriksson; Elodie Eury; Luigi Ferrucci; Ian Ford; Nita G Forouhi; Caroline S Fox; Maria Grazia Franzosi; Paul W Franks; Timothy M Frayling; Philippe Froguel; Pilar Galan; Eco de Geus; Bruna Gigante; Nicole L Glazer; Anuj Goel; Leif Groop; Vilmundur Gudnason; Göran Hallmans; Anders Hamsten; Ola Hansson; Tamara B Harris; Caroline Hayward; Simon Heath; Serge Hercberg; Andrew A Hicks; Aroon Hingorani; Albert Hofman; Jennie Hui; Joseph Hung; Marjo-Riitta Jarvelin; Min A Jhun; Paul C D Johnson; J Wouter Jukema; Antti Jula; W H Kao; Jaakko Kaprio; Sharon L R Kardia; Sirkka Keinanen-Kiukaanniemi; Mika Kivimaki; Ivana Kolcic; Peter Kovacs; Meena Kumari; Johanna Kuusisto; Kirsten Ohm Kyvik; Markku Laakso; Timo Lakka; Lars Lannfelt; G Mark Lathrop; Lenore J Launer; Karin Leander; Guo Li; Lars Lind; Jaana Lindstrom; Stéphane Lobbens; Ruth J F Loos; Jian'an Luan; Valeriya Lyssenko; Reedik Mägi; Patrik K E Magnusson; Michael Marmot; Pierre Meneton; Karen L Mohlke; Vincent Mooser; Mario A Morken; Iva Miljkovic; Narisu Narisu; Jeff O'Connell; Ken K Ong; Ben A Oostra; Lyle J Palmer; Aarno Palotie; James S Pankow; John F Peden; Nancy L Pedersen; Marina Pehlic; Leena Peltonen; Brenda Penninx; Marijana Pericic; Markus Perola; Louis Perusse; Patricia A Peyser; Ozren Polasek; Peter P Pramstaller; Michael A Province; Katri Räikkönen; Rainer Rauramaa; Emil Rehnberg; Ken Rice; Jerome I Rotter; Igor Rudan; Aimo Ruokonen; Timo Saaristo; Maria Sabater-Lleal; Veikko Salomaa; David B Savage; Richa Saxena; Peter Schwarz; Udo Seedorf; Bengt Sennblad; Manuel Serrano-Rios; Alan R Shuldiner; Eric J G Sijbrands; David S Siscovick; Johannes H Smit; Kerrin S Small; Nicholas L Smith; Albert Vernon Smith; Alena Stančáková; Kathleen Stirrups; Michael Stumvoll; Yan V Sun; Amy J Swift; Anke Tönjes; Jaakko Tuomilehto; Stella Trompet; Andre G Uitterlinden; Matti Uusitupa; Max Vikström; Veronique Vitart; Marie-Claude Vohl; Benjamin F Voight; Peter Vollenweider; Gerard Waeber; Dawn M Waterworth; Hugh Watkins; Eleanor Wheeler; Elisabeth Widen; Sarah H Wild; Sara M Willems; Gonneke Willemsen; James F Wilson; Jacqueline C M Witteman; Alan F Wright; Hanieh Yaghootkar; Diana Zelenika; Tatijana Zemunik; Lina Zgaga; Nicholas J Wareham; Mark I McCarthy; Ines Barroso; Richard M Watanabe; Jose C Florez; Josée Dupuis; James B Meigs; Claudia Langenberg
Journal:  Nat Genet       Date:  2012-05-13       Impact factor: 38.330

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  11 in total

Review 1.  Metabolism disrupting chemicals and metabolic disorders.

Authors:  Jerrold J Heindel; Bruce Blumberg; Mathew Cave; Ronit Machtinger; Alberto Mantovani; Michelle A Mendez; Angel Nadal; Paola Palanza; Giancarlo Panzica; Robert Sargis; Laura N Vandenberg; Frederick Vom Saal
Journal:  Reprod Toxicol       Date:  2016-10-17       Impact factor: 3.143

2.  rs7903146 polymorphism at transcription factor 7 like 2 gene is associated with total cholesterol and lipoprotein profile in HIV/hepatitis C virus-coinfected patients.

Authors:  Daniel Pineda-Tenor; Juan Berenguer; María A Jiménez-Sousa; Ana Carrero; Mónica García-Álvarez; Teresa Aldámiz-Echevarria; Pilar García-Broncano; Cristina Diez; María Guzmán-Fulgencio; Amanda Fernández-Rodríguez; Salvador Resino
Journal:  AIDS Res Hum Retroviruses       Date:  2014-10-29       Impact factor: 2.205

3.  Genetic epidemiology of cardiometabolic risk factors and their clustering patterns in Mexican American children and adolescents: the SAFARI Study.

Authors:  Sharon P Fowler; Sobha Puppala; Rector Arya; Geetha Chittoor; Vidya S Farook; Jennifer Schneider; Roy G Resendez; Ram Prasad Upadhayay; Jane Vandeberg; Kelly J Hunt; Benjamin Bradshaw; Eugenio Cersosimo; John L Vandeberg; Laura Almasy; Joanne E Curran; Anthony G Comuzzie; Donna M Lehman; Christopher P Jenkinson; Jane L Lynch; Ralph A Defronzo; John Blangero; Daniel E Hale; Ravindranath Duggirala
Journal:  Hum Genet       Date:  2013-06-05       Impact factor: 4.132

Review 4.  Metabolic hypertension: concept and practice.

Authors:  Zhiming Zhu; Peijian Wang; Shuangtao Ma
Journal:  Front Med       Date:  2013-04-05       Impact factor: 4.592

5.  Insulin-related biomarkers to predict the risk of metabolic syndrome.

Authors:  Tomoyuki Kawada
Journal:  Int J Endocrinol Metab       Date:  2013-10-11

6.  In vitro fermentation of NUTRIOSE(®) FB06, a wheat dextrin soluble fibre, in a continuous culture human colonic model system.

Authors:  Mark R Hobden; Agustin Martin-Morales; Laetitia Guérin-Deremaux; Daniel Wils; Adele Costabile; Gemma E Walton; Ian Rowland; Orla B Kennedy; Glenn R Gibson
Journal:  PLoS One       Date:  2013-10-24       Impact factor: 3.240

7.  Di-(2-ethylhexyl) phthalate metabolites in urine show age-related changes and associations with adiposity and parameters of insulin sensitivity in childhood.

Authors:  Arianna Smerieri; Chiara Testa; Pietro Lazzeroni; Francesca Nuti; Enzo Grossi; Silvia Cesari; Luisa Montanini; Giuseppe Latini; Sergio Bernasconi; Anna Maria Papini; Maria E Street
Journal:  PLoS One       Date:  2015-02-23       Impact factor: 3.240

8.  Deficiency of PRKD2 triggers hyperinsulinemia and metabolic disorders.

Authors:  Yao Xiao; Can Wang; Jia-Yu Chen; Fujian Lu; Jue Wang; Ning Hou; Xiaomin Hu; Fanxin Zeng; Dongwei Ma; Xueting Sun; Yi Ding; Yan Zhang; Wen Zheng; Yuli Liu; Haibao Shang; Wenzhen Zhu; Chensheng Han; Yulin Zhang; Kunfu Ouyang; Liangyi Chen; Ju Chen; Rui-Ping Xiao; Chuan-Yun Li; Xiuqin Zhang
Journal:  Nat Commun       Date:  2018-05-22       Impact factor: 14.919

9.  Measurement of subclinical carotid atherosclerosis may help in predicting risk for stroke in patients with diabetes.

Authors:  David Della-Morte; Camillo Ricordi; Fiorella Guadagni; Tatjana Rundek
Journal:  Metab Brain Dis       Date:  2013-02-10       Impact factor: 3.584

10.  MiR-206 is expressed in pancreatic islets and regulates glucokinase activity.

Authors:  Manjula Vinod; Jay V Patankar; Vinay Sachdev; Saša Frank; Wolfgang F Graier; Dagmar Kratky; Gerhard M Kostner
Journal:  Am J Physiol Endocrinol Metab       Date:  2016-05-24       Impact factor: 4.310

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