Literature DB >> 26354543

Consumption of meat is associated with higher fasting glucose and insulin concentrations regardless of glucose and insulin genetic risk scores: a meta-analysis of 50,345 Caucasians.

Amanda M Fretts1, Jack L Follis2, Jennifer A Nettleton3, Rozenn N Lemaitre4, Julius S Ngwa5, Mary K Wojczynski6, Ioanna Panagiota Kalafati7, Tibor V Varga8, Alexis C Frazier-Wood9, Denise K Houston10, Jari Lahti11, Ulrika Ericson12, Edith H van den Hooven13, Vera Mikkilä14, Jessica C Kiefte-de Jong13, Dariush Mozaffarian15, Kenneth Rice16, Frida Renström17, Kari E North18, Nicola M McKeown19, Mary F Feitosa6, Stavroula Kanoni20, Caren E Smith21, Melissa E Garcia22, Anna-Maija Tiainen23, Emily Sonestedt12, Ani Manichaikul24, Frank J A van Rooij25, Maria Dimitriou7, Olli Raitakari26, James S Pankow27, Luc Djoussé28, Michael A Province6, Frank B Hu29, Chao-Qiang Lai30, Margaux F Keller31, Mia-Maria Perälä23, Jerome I Rotter32, Albert Hofman13, Misa Graff33, Mika Kähönen34, Kenneth Mukamal35, Ingegerd Johansson36, Jose M Ordovas37, Yongmei Liu38, Satu Männistö23, André G Uitterlinden39, Panos Deloukas40, Ilkka Seppälä41, Bruce M Psaty42, L Adrienne Cupples43, Ingrid B Borecki6, Paul W Franks44, Donna K Arnett45, Mike A Nalls46, Johan G Eriksson47, Marju Orho-Melander12, Oscar H Franco13, Terho Lehtimäki41, George V Dedoussis7, James B Meigs48, David S Siscovick49.   

Abstract

BACKGROUND: Recent studies suggest that meat intake is associated with diabetes-related phenotypes. However, whether the associations of meat intake and glucose and insulin homeostasis are modified by genes related to glucose and insulin is unknown.
OBJECTIVE: We investigated the associations of meat intake and the interaction of meat with genotype on fasting glucose and insulin concentrations in Caucasians free of diabetes mellitus.
DESIGN: Fourteen studies that are part of the Cohorts for Heart and Aging Research in Genomic Epidemiology consortium participated in the analysis. Data were provided for up to 50,345 participants. Using linear regression within studies and a fixed-effects meta-analysis across studies, we examined 1) the associations of processed meat and unprocessed red meat intake with fasting glucose and insulin concentrations; and 2) the interactions of processed meat and unprocessed red meat with genetic risk score related to fasting glucose or insulin resistance on fasting glucose and insulin concentrations.
RESULTS: Processed meat was associated with higher fasting glucose, and unprocessed red meat was associated with both higher fasting glucose and fasting insulin concentrations after adjustment for potential confounders [not including body mass index (BMI)]. For every additional 50-g serving of processed meat per day, fasting glucose was 0.021 mmol/L (95% CI: 0.011, 0.030 mmol/L) higher. Every additional 100-g serving of unprocessed red meat per day was associated with a 0.037-mmol/L (95% CI: 0.023, 0.051-mmol/L) higher fasting glucose concentration and a 0.049-ln-pmol/L (95% CI: 0.035, 0.063-ln-pmol/L) higher fasting insulin concentration. After additional adjustment for BMI, observed associations were attenuated and no longer statistically significant. The association of processed meat and fasting insulin did not reach statistical significance after correction for multiple comparisons. Observed associations were not modified by genetic loci known to influence fasting glucose or insulin resistance.
CONCLUSION: The association of higher fasting glucose and insulin concentrations with meat consumption was not modified by an index of glucose- and insulin-related single-nucleotide polymorphisms. Six of the participating studies are registered at clinicaltrials.gov as NCT0000513 (Atherosclerosis Risk in Communities), NCT00149435 (Cardiovascular Health Study), NCT00005136 (Family Heart Study), NCT00005121 (Framingham Heart Study), NCT00083369 (Genetics of Lipid Lowering Drugs and Diet Network), and NCT00005487 (Multi-Ethnic Study of Atherosclerosis).
© 2015 American Society for Nutrition.

Entities:  

Keywords:  diet; gene–diet interaction; glucose; insulin; meat intake; meta-analysis

Mesh:

Substances:

Year:  2015        PMID: 26354543      PMCID: PMC4625584          DOI: 10.3945/ajcn.114.101238

Source DB:  PubMed          Journal:  Am J Clin Nutr        ISSN: 0002-9165            Impact factor:   7.045


  64 in total

1.  Cohort profile: the cardiovascular risk in Young Finns Study.

Authors:  Olli T Raitakari; Markus Juonala; Tapani Rönnemaa; Liisa Keltikangas-Järvinen; Leena Räsänen; Matti Pietikäinen; Nina Hutri-Kähönen; Leena Taittonen; Eero Jokinen; Jukka Marniemi; Antti Jula; Risto Telama; Mika Kähönen; Terho Lehtimäki; Hans K Akerblom; Jorma S A Viikari
Journal:  Int J Epidemiol       Date:  2008-02-08       Impact factor: 7.196

Review 2.  Meat consumption, diabetes, and its complications.

Authors:  Edith J M Feskens; Diewertje Sluik; Geertruida J van Woudenbergh
Journal:  Curr Diab Rep       Date:  2013-04       Impact factor: 4.810

3.  Meat consumption and prospective weight change in participants of the EPIC-PANACEA study.

Authors:  Anne-Claire Vergnaud; Teresa Norat; Dora Romaguera; Traci Mouw; Anne M May; Noemie Travier; Jian'an Luan; Nick Wareham; Nadia Slimani; Sabina Rinaldi; Elisabeth Couto; Françoise Clavel-Chapelon; Marie-Christine Boutron-Ruault; Vanessa Cottet; Domenico Palli; Claudia Agnoli; Salvatore Panico; Rosario Tumino; Paolo Vineis; Antonio Agudo; Laudina Rodriguez; Maria Jose Sanchez; Pilar Amiano; Aurelio Barricarte; Jose Maria Huerta; Timothy J Key; Elisabeth A Spencer; Bas Bueno-de-Mesquita; Frederike L Büchner; Philippos Orfanos; Androniki Naska; Antonia Trichopoulou; Sabine Rohrmann; Silke Hermann; Heiner Boeing; Brian Buijsse; Ingegerd Johansson; Veronica Hellstrom; Jonas Manjer; Elisabet Wirfält; Marianne Uhre Jakobsen; Kim Overvad; Anne Tjonneland; Jytte Halkjaer; Eiliv Lund; Tonje Braaten; Dagrun Engeset; Andreani Odysseos; Elio Riboli; Petra H M Peeters
Journal:  Am J Clin Nutr       Date:  2010-06-30       Impact factor: 7.045

4.  Trends in hyperinsulinemia among nondiabetic adults in the U.S.

Authors:  Chaoyang Li; Earl S Ford; Lisa C McGuire; Ali H Mokdad; Randie R Little; Gerald M Reaven
Journal:  Diabetes Care       Date:  2006-11       Impact factor: 19.112

5.  The Third Generation Cohort of the National Heart, Lung, and Blood Institute's Framingham Heart Study: design, recruitment, and initial examination.

Authors:  Greta Lee Splansky; Diane Corey; Qiong Yang; Larry D Atwood; L Adrienne Cupples; Emelia J Benjamin; Ralph B D'Agostino; Caroline S Fox; Martin G Larson; Joanne M Murabito; Christopher J O'Donnell; Ramachandran S Vasan; Philip A Wolf; Daniel Levy
Journal:  Am J Epidemiol       Date:  2007-03-19       Impact factor: 4.897

6.  Inflammatory mediators are induced by dietary glycotoxins, a major risk factor for diabetic angiopathy.

Authors:  Helen Vlassara; Weijing Cai; Jill Crandall; Teresia Goldberg; Robert Oberstein; Veronique Dardaine; Melpomeni Peppa; Elliot J Rayfield
Journal:  Proc Natl Acad Sci U S A       Date:  2002-11-12       Impact factor: 11.205

7.  Improved insulin sensitivity is associated with restricted intake of dietary glycoxidation products in the db/db mouse.

Authors:  Susanna M Hofmann; Heng-Jiang Dong; Zhu Li; Weijing Cai; Jennifer Altomonte; Swan N Thung; Feng Zeng; Edward A Fisher; Helen Vlassara
Journal:  Diabetes       Date:  2002-07       Impact factor: 9.461

8.  The Malmo Diet and Cancer Study. Design and feasibility.

Authors:  G Berglund; S Elmstähl; L Janzon; S A Larsson
Journal:  J Intern Med       Date:  1993-01       Impact factor: 8.989

9.  Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) Consortium: Design of prospective meta-analyses of genome-wide association studies from 5 cohorts.

Authors:  Bruce M Psaty; Christopher J O'Donnell; Vilmundur Gudnason; Kathryn L Lunetta; Aaron R Folsom; Jerome I Rotter; André G Uitterlinden; Tamara B Harris; Jacqueline C M Witteman; Eric Boerwinkle
Journal:  Circ Cardiovasc Genet       Date:  2009-02

10.  Total zinc intake may modify the glucose-raising effect of a zinc transporter (SLC30A8) variant: a 14-cohort meta-analysis.

Authors:  Stavroula Kanoni; Jennifer A Nettleton; Marie-France Hivert; Zheng Ye; Frank J A van Rooij; Dmitry Shungin; Emily Sonestedt; Julius S Ngwa; Mary K Wojczynski; Rozenn N Lemaitre; Stefan Gustafsson; Jennifer S Anderson; Toshiko Tanaka; George Hindy; Georgia Saylor; Frida Renstrom; Amanda J Bennett; Cornelia M van Duijn; Jose C Florez; Caroline S Fox; Albert Hofman; Ron C Hoogeveen; Denise K Houston; Frank B Hu; Paul F Jacques; Ingegerd Johansson; Lars Lind; Yongmei Liu; Nicola McKeown; Jose Ordovas; James S Pankow; Eric J G Sijbrands; Ann-Christine Syvänen; André G Uitterlinden; Mary Yannakoulia; M Carola Zillikens; Nick J Wareham; Inga Prokopenko; Stefania Bandinelli; Nita G Forouhi; L Adrienne Cupples; Ruth J Loos; Goran Hallmans; Josée Dupuis; Claudia Langenberg; Luigi Ferrucci; Stephen B Kritchevsky; Mark I McCarthy; Erik Ingelsson; Ingrid B Borecki; Jacqueline C M Witteman; Marju Orho-Melander; David S Siscovick; James B Meigs; Paul W Franks; George V Dedoussis
Journal:  Diabetes       Date:  2011-08-01       Impact factor: 9.461

View more
  23 in total

Review 1.  The Vegetarian Advantage: Its Potential for the Health of Our Planet, Our Livestock, and Our Neighbors!

Authors:  Gary E Fraser
Journal:  Forsch Komplementmed       Date:  2016-03-23

2.  Red meat consumption and metabolic syndrome in the Costa Rica Heart Study.

Authors:  D Luan; D Wang; H Campos; A Baylin
Journal:  Eur J Nutr       Date:  2019-01-16       Impact factor: 5.614

3.  Effect of the intake of dietary protein on insulin resistance in subjects with obesity: a randomized controlled clinical trial.

Authors:  Luis E González-Salazar; Edgar Pichardo-Ontiveros; Berenice Palacios-González; Ana Vigil-Martínez; Omar Granados-Portillo; Rocío Guizar-Heredia; Adriana Flores-López; Isabel Medina-Vera; Pamela K Heredia-G-Cantón; Karla G Hernández-Gómez; Georgina Castelán-Licona; Liliana Arteaga-Sánchez; Aurora E Serralde-Zúñiga; Azalia Ávila-Nava; Lilia G Noriega-López; Juan G Reyes-García; Carlos Zerrweck; Nimbe Torres; Armando R Tovar; Martha Guevara-Cruz
Journal:  Eur J Nutr       Date:  2020-11-03       Impact factor: 5.614

4.  Red meat consumption, obesity, and the risk of nonalcoholic fatty liver disease among women: Evidence from mediation analysis.

Authors:  Mi Na Kim; Chun-Han Lo; Kathleen E Corey; Xiao Luo; Lu Long; Xuehong Zhang; Andrew T Chan; Tracey G Simon
Journal:  Clin Nutr       Date:  2021-12-15       Impact factor: 7.324

5.  Insulin Resistance is Associated with Subclinical Vascular Injury in Patients with a Kidney Disease.

Authors:  María M Adeva-Andany; Carlos Fernández-Fernández; Lucía Adeva-Contreras; Natalia Carneiro-Freire; Alberto Domínguez-Montero; David Mouriño-Bayolo
Journal:  Curr Cardiol Rev       Date:  2021

6.  Trimethylamine-N-oxide and its biological variations in vegetarians.

Authors:  Rima Obeid; Hussain M Awwad; Markus Keller; Juergen Geisel
Journal:  Eur J Nutr       Date:  2016-08-25       Impact factor: 5.614

Review 7.  Interventions to reduce meat consumption by appealing to animal welfare: Meta-analysis and evidence-based recommendations.

Authors:  Maya B Mathur; Jacob Peacock; David B Reichling; Janice Nadler; Paul A Bain; Christopher D Gardner; Thomas N Robinson
Journal:  Appetite       Date:  2021-05-11       Impact factor: 5.016

8.  Meat Consumption and Risk of Developing Type 2 Diabetes in the SUN Project: A Highly Educated Middle-Class Population.

Authors:  A Mari-Sanchis; A Gea; F J Basterra-Gortari; M A Martinez-Gonzalez; J J Beunza; M Bes-Rastrollo
Journal:  PLoS One       Date:  2016-07-20       Impact factor: 3.240

9.  Dietary Patterns in Relation to Metabolic Syndrome among Adults in Poland: A Cross-Sectional Study.

Authors:  Edyta Suliga; Dorota Kozieł; Elżbieta Cieśla; Dorota Rębak; Stanisław Głuszek
Journal:  Nutrients       Date:  2017-12-17       Impact factor: 5.717

Review 10.  Food groups and risk of type 2 diabetes mellitus: a systematic review and meta-analysis of prospective studies.

Authors:  Lukas Schwingshackl; Georg Hoffmann; Anna-Maria Lampousi; Sven Knüppel; Khalid Iqbal; Carolina Schwedhelm; Angela Bechthold; Sabrina Schlesinger; Heiner Boeing
Journal:  Eur J Epidemiol       Date:  2017-04-10       Impact factor: 8.082

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.