Literature DB >> 27095829

Nutrigenomics, the Microbiome, and Gene-Environment Interactions: New Directions in Cardiovascular Disease Research, Prevention, and Treatment: A Scientific Statement From the American Heart Association.

Jane F Ferguson, Hooman Allayee, Robert E Gerszten, Folami Ideraabdullah, Penny M Kris-Etherton, José M Ordovás, Eric B Rimm, Thomas J Wang, Brian J Bennett.   

Abstract

Cardiometabolic diseases are the leading cause of death worldwide and are strongly linked to both genetic and nutritional factors. The field of nutrigenomics encompasses multiple approaches aimed at understanding the effects of diet on health or disease development, including nutrigenetic studies investigating the relationship between genetic variants and diet in modulating cardiometabolic risk, as well as the effects of dietary components on multiple "omic" measures, including transcriptomics, metabolomics, proteomics, lipidomics, epigenetic modifications, and the microbiome. Here, we describe the current state of the field of nutrigenomics with respect to cardiometabolic disease research and outline a direction for the integration of multiple omics techniques in future nutrigenomic studies aimed at understanding mechanisms and developing new therapeutic options for cardiometabolic disease treatment and prevention.
© 2016 American Heart Association, Inc.

Entities:  

Keywords:  AHA Scientific Statements; diet; metagenomics; microbiota; nutrigenetics; nutrigenomics; nutritional status

Mesh:

Year:  2016        PMID: 27095829      PMCID: PMC7829062          DOI: 10.1161/HCG.0000000000000030

Source DB:  PubMed          Journal:  Circ Cardiovasc Genet        ISSN: 1942-3268


  301 in total

1.  Interaction of angiotensin I-converting enzyme insertion-deletion polymorphism and daily salt intake influences hypertension in Japanese men.

Authors:  Ling Zhang; Koichi Miyaki; Jungo Araki; Yixuan Song; Tomomi Kimura; Kazuyuki Omae; Masaaki Muramatsu
Journal:  Hypertens Res       Date:  2006-10       Impact factor: 3.872

Review 2.  Linking the gut microbiota to human health.

Authors:  Virginia Robles Alonso; Francisco Guarner
Journal:  Br J Nutr       Date:  2013-01       Impact factor: 3.718

3.  A common polymorphism in the methylenetetrahydrofolate reductase gene, homocysteine, and ischemic cerebrovascular disease.

Authors:  H S Markus; N Ali; R Swaminathan; A Sankaralingam; J Molloy; J Powell
Journal:  Stroke       Date:  1997-09       Impact factor: 7.914

4.  Transcriptomic and metabolomic signatures of an n-3 polyunsaturated fatty acids supplementation in a normolipidemic/normocholesterolemic Caucasian population.

Authors:  Iwona Rudkowska; Ann-Marie Paradis; Elisabeth Thifault; Pierre Julien; André Tchernof; Patrick Couture; Simone Lemieux; Olivier Barbier; Marie-Claude Vohl
Journal:  J Nutr Biochem       Date:  2012-06-28       Impact factor: 6.048

5.  Gene-diet interactions and plasma lipoproteins: role of apolipoprotein E and habitual saturated fat intake.

Authors:  H Campos; M D'Agostino; J M Ordovás
Journal:  Genet Epidemiol       Date:  2001-01       Impact factor: 2.135

6.  The cardiovascular response of normal humans to the administration of endotoxin.

Authors:  A F Suffredini; R E Fromm; M M Parker; M Brenner; J A Kovacs; R A Wesley; J E Parrillo
Journal:  N Engl J Med       Date:  1989-08-03       Impact factor: 91.245

Review 7.  Genetic interactions with diet influence the risk of cardiovascular disease.

Authors:  José M Ordovas
Journal:  Am J Clin Nutr       Date:  2006-02       Impact factor: 7.045

8.  Gut microbiota from twins discordant for obesity modulate metabolism in mice.

Authors:  Vanessa K Ridaura; Jeremiah J Faith; Federico E Rey; Jiye Cheng; Alexis E Duncan; Andrew L Kau; Nicholas W Griffin; Vincent Lombard; Bernard Henrissat; James R Bain; Michael J Muehlbauer; Olga Ilkayeva; Clay F Semenkovich; Katsuhiko Funai; David K Hayashi; Barbara J Lyle; Margaret C Martini; Luke K Ursell; Jose C Clemente; William Van Treuren; William A Walters; Rob Knight; Christopher B Newgard; Andrew C Heath; Jeffrey I Gordon
Journal:  Science       Date:  2013-09-06       Impact factor: 47.728

9.  Peroxisome Proliferator-Activated Receptor-α Agonism With Fenofibrate Does Not Suppress Inflammatory Responses to Evoked Endotoxemia.

Authors:  Claire K Mulvey; Jane F Ferguson; Jennifer Tabita-Martinez; Stephanie Kong; Rhia Y Shah; Parth N Patel; Stephen R Master; M Haris U Usman; Kathleen J Propert; Rachana Shah; Nehal N Mehta; Muredach P Reilly
Journal:  J Am Heart Assoc       Date:  2012-08-24       Impact factor: 5.501

10.  Combining information from common type 2 diabetes risk polymorphisms improves disease prediction.

Authors:  Michael N Weedon; Mark I McCarthy; Graham Hitman; Mark Walker; Christopher J Groves; Eleftheria Zeggini; N William Rayner; Beverley Shields; Katharine R Owen; Andrew T Hattersley; Timothy M Frayling
Journal:  PLoS Med       Date:  2006-10       Impact factor: 11.069

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  37 in total

1.  Quantile-specific heritability of high-density lipoproteins with implications for precision medicine.

Authors:  Paul T Williams
Journal:  J Clin Lipidol       Date:  2020-05-29       Impact factor: 4.766

Review 2.  Interdisciplinary Models for Research and Clinical Endeavors in Genomic Medicine: A Scientific Statement From the American Heart Association.

Authors:  Kiran Musunuru; Pankaj Arora; John P Cooke; Jane F Ferguson; Ray E Hershberger; Kathleen T Hickey; Jin-Moo Lee; João A C Lima; Joseph Loscalzo; Naveen L Pereira; Mark W Russell; Svati H Shah; Farah Sheikh; Thomas J Wang; Calum A MacRae
Journal:  Circ Genom Precis Med       Date:  2018-06

3.  Dysbiosis in the Pathophysiology of Coronary Artery Disease.

Authors:  Junichiro Irie; Hiroshi Itoh
Journal:  J Atheroscler Thromb       Date:  2016-06-15       Impact factor: 4.928

4.  Regulation of autoimmune myocarditis by host responses to the microbiome.

Authors:  Jobert G Barin; Monica V Talor; Nicola L Diny; SuFey Ong; Julie A Schaub; Elizabeth Gebremariam; Djahida Bedja; Guobao Chen; Hee Sun Choi; Xuezhou Hou; Lei Wu; Ashley B Cardamone; Daniel A Peterson; Noel R Rose; Daniela Čiháková
Journal:  Exp Mol Pathol       Date:  2017-08-16       Impact factor: 3.362

5.  Nutrigenomic Information in the openEHR Data Set.

Authors:  Priscila Alves Maranhão; Gustavo Marísio Bacelar-Silva; Duarte Nuno Gonçalves Ferreira; Conceição Calhau; Pedro Vieira-Marques; Ricardo João Cruz-Correia
Journal:  Appl Clin Inform       Date:  2018-03-28       Impact factor: 2.342

6.  Human Oral Buccal Microbiomes Are Associated with Farmworker Status and Azinphos-Methyl Agricultural Pesticide Exposure.

Authors:  Ian B Stanaway; James C Wallace; Ali Shojaie; William C Griffith; Sungwoo Hong; Carly S Wilder; Foad H Green; Jesse Tsai; Misty Knight; Tomomi Workman; Eric M Vigoren; Jeffrey S McLean; Beti Thompson; Elaine M Faustman
Journal:  Appl Environ Microbiol       Date:  2016-12-30       Impact factor: 4.792

7.  Mechanisms underlying the cardiometabolic protective effect of walnut consumption in obese people: A cross-over, randomized, double-blind, controlled inpatient physiology study.

Authors:  Dario Tuccinardi; Olivia M Farr; Jagriti Upadhyay; Sabrina M Oussaada; Maria I Klapa; Marco Candela; Simone Rampelli; Sylvain Lehoux; Iolanda Lázaro; Aleix Sala-Vila; Patrizia Brigidi; Richard D Cummings; Christos S Mantzoros
Journal:  Diabetes Obes Metab       Date:  2019-07-02       Impact factor: 6.577

8.  Gut Microbiome and Response to Cardiovascular Drugs.

Authors:  Sony Tuteja; Jane F Ferguson
Journal:  Circ Genom Precis Med       Date:  2019-08-28

Review 9.  Lipidomics: Techniques, Applications, and Outcomes Related to Biomedical Sciences.

Authors:  Kui Yang; Xianlin Han
Journal:  Trends Biochem Sci       Date:  2016-09-20       Impact factor: 13.807

Review 10.  Obesity Genomics and Metabolomics: a Nexus of Cardiometabolic Risk.

Authors:  Jessica A Regan; Svati H Shah
Journal:  Curr Cardiol Rep       Date:  2020-10-10       Impact factor: 2.931

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