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For: Ferguson JF, Allayee H, Gerszten RE, Ideraabdullah F, Kris-Etherton PM, Ordovás JM, Rimm EB, Wang TJ, Bennett BJ; American Heart Association Council on Functional Genomics and Translational Biology, Council on Epidemiology and Prevention, and Stroke Council. Nutrigenomics, the Microbiome, and Gene-Environment Interactions: New Directions in Cardiovascular Disease Research, Prevention, and Treatment: A Scientific Statement From the American Heart Association. Circ Cardiovasc Genet 2016;9:291-313. [PMID: 27095829 DOI: 10.1161/HCG.0000000000000030] [Cited by in Crossref: 53] [Cited by in F6Publishing: 38] [Article Influence: 8.8] [Reference Citation Analysis]
Number Citing Articles
1 Irie J, Itoh H. Dysbiosis in the Pathophysiology of Coronary Artery Disease. J Atheroscler Thromb 2016;23:901-2. [PMID: 27301463 DOI: 10.5551/jat.ED052] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.2] [Reference Citation Analysis]
2 Ma J, Rebholz CM, Braun KVE, Reynolds LM, Aslibekyan S, Xia R, Biligowda NG, Huan T, Liu C, Mendelson MM, Joehanes R, Hu EA, Vitolins MZ, Wood AC, Lohman K, Ochoa-Rosales C, van Meurs J, Uitterlinden A, Liu Y, Elhadad MA, Heier M, Waldenberger M, Peters A, Colicino E, Whitsel EA, Baldassari A, Gharib SA, Sotoodehnia N, Brody JA, Sitlani CM, Tanaka T, Hill WD, Corley J, Deary IJ, Zhang Y, Schöttker B, Brenner H, Walker ME, Ye S, Nguyen S, Pankow J, Demerath EW, Zheng Y, Hou L, Liang L, Lichtenstein AH, Hu FB, Fornage M, Voortman T, Levy D. Whole Blood DNA Methylation Signatures of Diet Are Associated With Cardiovascular Disease Risk Factors and All-Cause Mortality. Circ Genom Precis Med 2020;13:e002766. [PMID: 32525743 DOI: 10.1161/CIRCGEN.119.002766] [Cited by in Crossref: 6] [Cited by in F6Publishing: 5] [Article Influence: 3.0] [Reference Citation Analysis]
3 Du Z, Yang Y, Zheng J, Li Q, Lin D, Li Y, Fan J, Cheng W, Chen XH, Cai Y. Accurate Prediction of Coronary Heart Disease for Patients With Hypertension From Electronic Health Records With Big Data and Machine-Learning Methods: Model Development and Performance Evaluation. JMIR Med Inform 2020;8:e17257. [PMID: 32628616 DOI: 10.2196/17257] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 1.5] [Reference Citation Analysis]
4 Maranhão PA, Bacelar-Silva GM, Ferreira DNG, Calhau C, Vieira-Marques P, Cruz-Correia RJ. Nutrigenomic Information in the openEHR Data Set. Appl Clin Inform 2018;9:221-31. [PMID: 29590680 DOI: 10.1055/s-0038-1635115] [Cited by in Crossref: 7] [Cited by in F6Publishing: 4] [Article Influence: 1.8] [Reference Citation Analysis]
5 Yang K, Han X. Lipidomics: Techniques, Applications, and Outcomes Related to Biomedical Sciences. Trends Biochem Sci 2016;41:954-69. [PMID: 27663237 DOI: 10.1016/j.tibs.2016.08.010] [Cited by in Crossref: 234] [Cited by in F6Publishing: 197] [Article Influence: 39.0] [Reference Citation Analysis]
6 Grace-Farfaglia P. Self-Reported Diet and Health Outcomes of Participants of the CCSVI-Tracking Survey Study. Nutrients 2021;13:1891. [PMID: 34072860 DOI: 10.3390/nu13061891] [Reference Citation Analysis]
7 Fukuchi M, Yasutake T, Matsumoto M, Mizuno R, Fujita K, Sasuga Y. Effect of Lactic Acid Bacteria-Fermented Soy Milk Extract (LEX) on Urinary 3-Indoxyl Sulfate in Japanese Healthy Adult Women: An Open-Label Pilot Study. NDS 2020;Volume 12:301-9. [DOI: 10.2147/nds.s281180] [Cited by in Crossref: 3] [Article Influence: 1.5] [Reference Citation Analysis]
8 Mohammadkhah AI, Simpson EB, Patterson SG, Ferguson JF. Development of the Gut Microbiome in Children, and Lifetime Implications for Obesity and Cardiometabolic Disease. Children (Basel) 2018;5:E160. [PMID: 30486462 DOI: 10.3390/children5120160] [Cited by in Crossref: 25] [Cited by in F6Publishing: 26] [Article Influence: 6.3] [Reference Citation Analysis]
9 Nam HS. Gut Microbiota and Ischemic Stroke: The Role of Trimethylamine N-Oxide. J Stroke 2019;21:151-9. [PMID: 31161760 DOI: 10.5853/jos.2019.00472] [Cited by in Crossref: 26] [Cited by in F6Publishing: 22] [Article Influence: 8.7] [Reference Citation Analysis]
10 Georga EI, Tachos NS, Sakellarios AI, Kigka VI, Exarchos TP, Pelosi G, Parodi O, Michalis LK, Fotiadis DI. Artificial Intelligence and Data Mining Methods for Cardiovascular Risk Prediction. In: Golemati S, Nikita KS, editors. Cardiovascular Computing—Methodologies and Clinical Applications. Singapore: Springer; 2019. pp. 279-301. [DOI: 10.1007/978-981-10-5092-3_14] [Cited by in Crossref: 7] [Cited by in F6Publishing: 1] [Article Influence: 2.3] [Reference Citation Analysis]
11 Ordovas JM, Ferguson LR, Tai ES, Mathers JC. Personalised nutrition and health. BMJ 2018;361:bmj.k2173. [PMID: 29898881 DOI: 10.1136/bmj.k2173] [Cited by in Crossref: 97] [Cited by in F6Publishing: 84] [Article Influence: 24.3] [Reference Citation Analysis]
12 Caio G, Lungaro L, Caputo F, Zoli E, Giancola F, Chiarioni G, De Giorgio R, Zoli G. Nutritional Treatment in Crohn's Disease. Nutrients 2021;13:1628. [PMID: 34066229 DOI: 10.3390/nu13051628] [Reference Citation Analysis]
13 Tuccinardi D, Farr OM, Upadhyay J, Oussaada SM, Klapa MI, Candela M, Rampelli S, Lehoux S, Lázaro I, Sala-Vila A, Brigidi P, Cummings RD, Mantzoros CS. Mechanisms underlying the cardiometabolic protective effect of walnut consumption in obese people: A cross-over, randomized, double-blind, controlled inpatient physiology study. Diabetes Obes Metab 2019;21:2086-95. [PMID: 31087608 DOI: 10.1111/dom.13773] [Cited by in Crossref: 19] [Cited by in F6Publishing: 17] [Article Influence: 6.3] [Reference Citation Analysis]
14 Cassotta M, Forbes-Hernandez TY, Cianciosi D, Elexpuru Zabaleta M, Sumalla Cano S, Dominguez I, Bullon B, Regolo L, Alvarez-Suarez JM, Giampieri F, Battino M. Nutrition and Rheumatoid Arthritis in the 'Omics' Era. Nutrients 2021;13:763. [PMID: 33652915 DOI: 10.3390/nu13030763] [Reference Citation Analysis]
15 Xu J, Yang Y. Gut microbiome and its meta-omics perspectives: profound implications for cardiovascular diseases. Gut Microbes 2021;13:1936379. [PMID: 34170211 DOI: 10.1080/19490976.2021.1936379] [Reference Citation Analysis]
16 Scola L, Giarratana RM, Torre S, Argano V, Lio D, Balistreri CR. On the Road to Accurate Biomarkers for Cardiometabolic Diseases by Integrating Precision and Gender Medicine Approaches. Int J Mol Sci 2019;20:E6015. [PMID: 31795333 DOI: 10.3390/ijms20236015] [Cited by in Crossref: 6] [Cited by in F6Publishing: 6] [Article Influence: 2.0] [Reference Citation Analysis]
17 Fitó M, Melander O, Martínez JA, Toledo E, Carpéné C, Corella D. Advances in Integrating Traditional and Omic Biomarkers When Analyzing the Effects of the Mediterranean Diet Intervention in Cardiovascular Prevention. Int J Mol Sci 2016;17:E1469. [PMID: 27598147 DOI: 10.3390/ijms17091469] [Cited by in Crossref: 29] [Cited by in F6Publishing: 18] [Article Influence: 4.8] [Reference Citation Analysis]
18 Regan JA, Shah SH. Obesity Genomics and Metabolomics: a Nexus of Cardiometabolic Risk. Curr Cardiol Rep 2020;22:174. [PMID: 33040225 DOI: 10.1007/s11886-020-01422-x] [Cited by in Crossref: 1] [Article Influence: 0.5] [Reference Citation Analysis]
19 Shah RD, Tang ZZ, Chen G, Huang S, Ferguson JF. Soy food intake associates with changes in the metabolome and reduced blood pressure in a gut microbiota dependent manner. Nutr Metab Cardiovasc Dis 2020;30:1500-11. [PMID: 32620337 DOI: 10.1016/j.numecd.2020.05.001] [Cited by in Crossref: 3] [Cited by in F6Publishing: 2] [Article Influence: 1.5] [Reference Citation Analysis]
20 Schloss J, McIntyre E, Steel A, Bradley R, Harnett J, Reid R, Hawrelak J, Goldenberg J, Van De Venter C, Cooley K. Lessons from Outside and Within: Exploring Advancements in Methodology for Naturopathic Medicine Clinical Research. J Altern Complement Med 2019;25:135-40. [PMID: 30785314 DOI: 10.1089/acm.2018.0403] [Cited by in Crossref: 5] [Cited by in F6Publishing: 4] [Article Influence: 1.7] [Reference Citation Analysis]
21 Murgia C, Adamski MM. Translation of Nutritional Genomics into Nutrition Practice: The Next Step. Nutrients 2017;9:E366. [PMID: 28383492 DOI: 10.3390/nu9040366] [Cited by in Crossref: 17] [Cited by in F6Publishing: 11] [Article Influence: 3.4] [Reference Citation Analysis]
22 Petersen KS, Bowen KJ, Tindall AM, Sullivan VK, Johnston EA, Fleming JA, Kris-Etherton PM. The Effect of Inflammation and Insulin Resistance on Lipid and Lipoprotein Responsiveness to Dietary Intervention. Curr Dev Nutr 2020;4:nzaa160. [PMID: 33447695 DOI: 10.1093/cdn/nzaa160] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 1.5] [Reference Citation Analysis]
23 Cox LA, Olivier M, Spradling-Reeves K, Karere GM, Comuzzie AG, VandeBerg JL. Nonhuman Primates and Translational Research-Cardiovascular Disease. ILAR J 2017;58:235-50. [PMID: 28985395 DOI: 10.1093/ilar/ilx025] [Cited by in Crossref: 28] [Cited by in F6Publishing: 27] [Article Influence: 7.0] [Reference Citation Analysis]
24 Van Horn L, Vincent E, Perak AM. Preserving Cardiovascular Health in Young Children: Beginning Healthier by Starting Earlier. Curr Atheroscler Rep 2018;20:26. [PMID: 29696447 DOI: 10.1007/s11883-018-0729-7] [Cited by in Crossref: 4] [Cited by in F6Publishing: 4] [Article Influence: 1.0] [Reference Citation Analysis]
25 Tuteja S, Ferguson JF. Gut Microbiome and Response to Cardiovascular Drugs. Circ Genom Precis Med 2019;12:421-9. [PMID: 31462078 DOI: 10.1161/CIRCGEN.119.002314] [Cited by in Crossref: 17] [Cited by in F6Publishing: 10] [Article Influence: 5.7] [Reference Citation Analysis]
26 Qiao Y, Zhu B, Tian A, Li Z. PEG-coated gold nanoparticles attenuate β-adrenergic receptor-mediated cardiac hypertrophy. Int J Nanomedicine 2017;12:4709-19. [PMID: 28740379 DOI: 10.2147/IJN.S130951] [Cited by in Crossref: 10] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
27 Stanaway IB, Wallace JC, Shojaie A, Griffith WC, Hong S, Wilder CS, Green FH, Tsai J, Knight M, Workman T, Vigoren EM, McLean JS, Thompson B, Faustman EM. Human Oral Buccal Microbiomes Are Associated with Farmworker Status and Azinphos-Methyl Agricultural Pesticide Exposure. Appl Environ Microbiol 2017;83:e02149-16. [PMID: 27836847 DOI: 10.1128/AEM.02149-16] [Cited by in Crossref: 14] [Cited by in F6Publishing: 7] [Article Influence: 2.3] [Reference Citation Analysis]
28 Giovanella J, Wollinger LM, Capra L, Dresch F, Genro JP, Contini V. Diet-gene interaction: effects of polymorphisms in the ACE, AGT and BDKRB2 genes and the consumption of sodium, potassium, calcium, and magnesium on blood pressure of normotensive adult individuals. Mol Cell Biochem 2021;476:1211-9. [PMID: 33190196 DOI: 10.1007/s11010-020-03983-5] [Reference Citation Analysis]
29 Williams PT. Quantile-specific heritability of high-density lipoproteins with implications for precision medicine. J Clin Lipidol 2020;14:448-458.e0. [PMID: 32600822 DOI: 10.1016/j.jacl.2020.05.099] [Cited by in Crossref: 8] [Cited by in F6Publishing: 8] [Article Influence: 4.0] [Reference Citation Analysis]
30 Rosa-Garrido M, Chapski DJ, Vondriska TM. Epigenomes in Cardiovascular Disease. Circ Res 2018;122:1586-607. [PMID: 29798902 DOI: 10.1161/CIRCRESAHA.118.311597] [Cited by in Crossref: 35] [Cited by in F6Publishing: 22] [Article Influence: 11.7] [Reference Citation Analysis]
31 Aranceta-Bartrina J, Partearroyo T, López-Sobaler AM, Ortega RM, Varela-Moreiras G, Serra-Majem L, Pérez-Rodrigo C; Collaborative Group for the Dietary Guidelines for the Spanish Population (SENC). Updating the Food-Based Dietary Guidelines for the Spanish Population: The Spanish Society of Community Nutrition (SENC) Proposal. Nutrients 2019;11:E2675. [PMID: 31694249 DOI: 10.3390/nu11112675] [Cited by in Crossref: 26] [Cited by in F6Publishing: 24] [Article Influence: 8.7] [Reference Citation Analysis]
32 Chatelan A, Bochud M, Frohlich KL. Precision nutrition: hype or hope for public health interventions to reduce obesity? Int J Epidemiol 2019;48:332-42. [PMID: 30544190 DOI: 10.1093/ije/dyy274] [Cited by in Crossref: 10] [Cited by in F6Publishing: 4] [Article Influence: 5.0] [Reference Citation Analysis]
33 Clifford T, Acton JP, Cocksedge SP, Davies KAB, Bailey SJ. The effect of dietary phytochemicals on nuclear factor erythroid 2-related factor 2 (Nrf2) activation: a systematic review of human intervention trials. Mol Biol Rep 2021;48:1745-61. [PMID: 33515348 DOI: 10.1007/s11033-020-06041-x] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
34 Polak K, Bergler-Czop B, Szczepanek M, Wojciechowska K, Frątczak A, Kiss N. Psoriasis and Gut Microbiome-Current State of Art. Int J Mol Sci 2021;22:4529. [PMID: 33926088 DOI: 10.3390/ijms22094529] [Cited by in Crossref: 2] [Cited by in F6Publishing: 4] [Article Influence: 2.0] [Reference Citation Analysis]
35 Roosan D, Wu Y, Tran M, Huang Y, Baskys A, Roosan MR. Opportunities to integrate nutrigenomics into clinical practice and patient counseling. Eur J Clin Nutr 2022. [PMID: 35444269 DOI: 10.1038/s41430-022-01146-x] [Reference Citation Analysis]
36 Barin JG, Talor MV, Diny NL, Ong S, Schaub JA, Gebremariam E, Bedja D, Chen G, Choi HS, Hou X, Wu L, Cardamone AB, Peterson DA, Rose NR, Čiháková D. Regulation of autoimmune myocarditis by host responses to the microbiome. Exp Mol Pathol 2017;103:141-52. [PMID: 28822770 DOI: 10.1016/j.yexmp.2017.08.003] [Cited by in Crossref: 2] [Cited by in F6Publishing: 1] [Article Influence: 0.4] [Reference Citation Analysis]
37 Rescigno T, Micolucci L, Tecce MF, Capasso A. Bioactive Nutrients and Nutrigenomics in Age-Related Diseases. Molecules 2017;22:E105. [PMID: 28075340 DOI: 10.3390/molecules22010105] [Cited by in Crossref: 40] [Cited by in F6Publishing: 41] [Article Influence: 8.0] [Reference Citation Analysis]
38 Battaglini D, Pimentel-Coelho PM, Robba C, Dos Santos CC, Cruz FF, Pelosi P, Rocco PRM. Gut Microbiota in Acute Ischemic Stroke: From Pathophysiology to Therapeutic Implications. Front Neurol 2020;11:598. [PMID: 32670191 DOI: 10.3389/fneur.2020.00598] [Cited by in Crossref: 10] [Cited by in F6Publishing: 13] [Article Influence: 5.0] [Reference Citation Analysis]
39 Macho-González A, Bastida S, Garcimartín A, López-Oliva ME, González P, Benedí J, González-Muñoz MJ, Sánchez-Muniz FJ. Functional Meat Products as Oxidative Stress Modulators: A Review. Adv Nutr 2021;12:1514-39. [PMID: 33578416 DOI: 10.1093/advances/nmaa182] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
40 Musunuru K, Arora P, Cooke JP, Ferguson JF, Hershberger RE, Hickey KT, Lee JM, Lima JAC, Loscalzo J, Pereira NL, Russell MW, Shah SH, Sheikh F, Wang TJ, MacRae CA;  American Heart Association Council on Genomic and Precision Medicine;  Council on Cardiovascular Disease in the Young;  Council on Cardiovascular and Stroke Nursing;  Council on Cardiovascular Radiology and Intervention;  Council on Peripheral Vascular Disease;  Council on Quality of Care and Outcomes Research;  and Stroke Council. Interdisciplinary Models for Research and Clinical Endeavors in Genomic Medicine: A Scientific Statement From the American Heart Association. Circ Genom Precis Med. 2018;11:e000046. [PMID: 29844141 DOI: 10.1161/hcg.0000000000000046] [Cited by in Crossref: 2] [Cited by in F6Publishing: 3] [Article Influence: 0.7] [Reference Citation Analysis]
41 Tang ZZ, Chen G, Hong Q, Huang S, Smith HM, Shah RD, Scholz M, Ferguson JF. Multi-Omic Analysis of the Microbiome and Metabolome in Healthy Subjects Reveals Microbiome-Dependent Relationships Between Diet and Metabolites. Front Genet 2019;10:454. [PMID: 31164901 DOI: 10.3389/fgene.2019.00454] [Cited by in Crossref: 39] [Cited by in F6Publishing: 41] [Article Influence: 13.0] [Reference Citation Analysis]