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Current Atherosclerosis Reports

Erschienen in:

01.06.2021 | Nutrition (K. Petersen, Section Editor)

Metabolomic Biomarkers of Healthy Dietary Patterns and Cardiovascular Outcomes

verfasst von: Hyunju Kim, Casey M. Rebholz

Erschienen in: Current Atherosclerosis Reports | Ausgabe 6/2021

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Abstract

Purpose of Review

Healthy dietary patterns are recommended for prevention of CVD. Recently, metabolomics has been used to identify biomarkers of healthy dietary patterns and elucidate mechanisms underlying diet-disease associations. This review provides an overview of approaches to define healthy dietary patterns, discusses important issues related to using metabolomics to describe healthy dietary patterns, and summarizes studies identifying blood metabolites associated with hypothesis-driven healthy dietary patterns and cardiovascular risk factors and incident CVD.

Recent findings

We identified 17 studies which reported on blood metabolomic signatures of 5 healthy dietary patterns (Healthy Eating Index, Alternative Healthy Eating Index, the Dietary Approaches to Stop Hypertension diet, Mediterranean diet, vegetarian diet). Four of these studies evaluated associations between diet-related metabolites and cardiovascular outcomes. Many metabolites replicated across different healthy dietary patterns, which suggest that they may represent biomarkers of generally healthy diets. Unsaturated lipids positively associated with healthy dietary patterns were inversely associated with incident CVD, suggesting that they may be a pathway through which diet is associated with a lower risk of CVD.

Summary

Although many metabolites replicated across cross-sectional studies, few metabolites identified as candidate biomarkers of healthy diets in feeding studies replicated in observational studies. Additionally, limited evidence exists on the ability of diet-related metabolites to predict cardiovascular outcomes. Replication of candidate biomarkers of dietary patterns in different study designs and more studies evaluating the associations between diet-related metabolites and cardiovascular outcomes are needed.

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Arnett DK, Blumenthal RS, Albert MA, Buroker AB, Goldberger ZD, Hahn EJ, et al. 2019 ACC/AHA Guideline on the primary prevention of cardiovascular disease: a report of the American College of Cardiology/American Heart Association Task Force on Clinical Practice Guidelines. Circulation. 2019;140:e596–646.PubMedPubMedCentral

Schwingshackl L, Bogensberger B, Hoffmann G. Diet quality as assessed by the Healthy Eating Index, the Alternative Healthy Eating Index, Dietary Approaches to Stop Hypertension Score, and health outcomes: an updated systematic review and meta-analysis of cohort studies. J Acad Nutr Diet. 2018;118:74–100.e11.PubMedCrossRef

Chiuve SE, Fung TT, Rimm EB, Hu FB, McCullough ML, Wang M, et al. Alternative dietary indices both strongly predict risk of chronic disease. J Nutr. 2012;142:1009–18.PubMedPubMedCentralCrossRef

Fung TT, Rimm EB, Spiegelman D, Rifai N, Tofler GH, Willett WC, et al. Association between dietary patterns and plasma biomarkers of obesity and cardiovascular disease risk. Am J Clin Nutr. 2001;73:61–7.PubMedCrossRef

Kaaks R, Riboli E. Validation and calibration of dietary intake measurements in the EPIC project: methodological considerations. European Prospective Investigation into Cancer and Nutrition. Int J Epidemiol. 1997;26(Suppl 1):S15–25.PubMedCrossRef

Willett WC, Howe GR, Kushi LH. Adjustment for total energy intake in epidemiologic studies. Am J Clin Nutr. 1997;65:1220S–8S.PubMedCrossRef

Freedman LS, Schatzkin A, Midthune D, Kipnis V. Dealing with dietary measurement error in nutritional cohort studies. J Natl Cancer Inst. 2011;103:1086–92.

8••.

Rebholz CM, Lichtenstein AH, Zheng Z, Appel LJ, Coresh J. Serum untargeted metabolomic profile of the Dietary Approaches to Stop Hypertension (DASH) dietary pattern. Am J Clin Nutr. 2018;108:243–55 Using serum metabolomics data collected at the end of an 8-week feeding study, this study compared serum metabolomic profiles of participants randomly assigned to the DASH dietary pattern and participants assigned to the control dietary pattern. The study identified a total of 97 metabolites that were significantly different between intervention groups and 10 metabolites influential in distinguishing the DASH dietary pattern from the control dietary pattern.PubMedPubMedCentralCrossRef

9•.

McCullough ML, Maliniak ML, Stevens VL, Carter BD, Hodge RA, Wang Y. Metabolomic markers of healthy dietary patterns in US postmenopausal women. Am J Clin Nutr. 2019;109:1439–51 This study identified serum metabolomic signatures of 4 healthy dietary patterns (HEI-2015, AHEI-2010, DASH diet, aMED) in US postmenopausal women.PubMedCrossRef

10.

Playdon MC, Moore SC, Derkach A, Reedy J, Subar AF, Sampson JN, et al. Identifying biomarkers of dietary patterns by using metabolomics. Am J Clin Nutr. 2017;105:450–65.PubMedCrossRef

11.

Playdon MC, Ziegler RG, Sampson JN, Stolzenberg-Solomon R, Thompson HJ, Irwin ML, et al. Nutritional metabolomics and breast cancer risk in a prospective study. Am J Clin Nutr. 2017;106:637–49.PubMedPubMedCentralCrossRef

12••.

Li J, Guasch-Ferré M, Chung W, Ruiz-Canela M, Toledo E, Corella D, et al. The Mediterranean diet, plasma metabolome, and cardiovascular disease risk. Eur Heart J. 2020;41:2645–56 This is an important study which identified a metabolomic signature of the Mediterranean Diet Adherence Screener in two independent populations (PREDIMED trial in Spain, and NHS/HPFS study in the US). Sixty-seven metabolites (lipids, amino acids, vitamins, and a xenobiotic) represented this metabolomic signature, and these 67 metabolites collectively were inversely associated with incident CVD in PREDIMED trial and NHS/HPFS study.PubMedPubMedCentralCrossRef

13.

Guertin KA, Moore SC, Sampson JN, Huang W-Y, Xiao Q, Stolzenberg-Solomon RZ, et al. Metabolomics in nutritional epidemiology: identifying metabolites associated with diet and quantifying their potential to uncover diet-disease relations in populations. Am J Clin Nutr. 2014;100:208–17.PubMedPubMedCentralCrossRef

14.

Garcia-Perez I, Posma JM, Gibson R, Chambers ES, Hansen TH, Vestergaard H, et al. Objective assessment of dietary patterns by use of metabolic phenotyping: a randomised, controlled, crossover trial. Lancet Diabetes Endocrinol. 2017;5:184–95.PubMedPubMedCentralCrossRef

15.

Reisdorph NA, Hendricks AE, Tang M, Doenges KA, Reisdorph RM, Tooker BC, et al. Nutrimetabolomics reveals food-specific compounds in urine of adults consuming a DASH-style diet. Sci Rep. Nature Publishing Group. 2020;10:1–10.CrossRef

16.

Vázquez-Fresno R, Llorach R, Urpi-Sarda M, Lupianez-Barbero A, Estruch R, Corella D, et al. Metabolomic pattern analysis after Mediterranean diet intervention in a nondiabetic population: a 1- and 3-year follow-up in the PREDIMED study. J Proteome Res. 2015;14:531–40.PubMedCrossRef

17.

Xu J, Yang S, Cai S, Dong J, Li X, Chen Z. Identification of biochemical changes in lactovegetarian urine using 1H NMR spectroscopy and pattern recognition. Anal Bioanal Chem. 2010;396:1451–63.PubMedCrossRef

18.

Andersen M-BS, Reinbach HC, Rinnan Å, Barri T, Mithril C, Dragsted LO. Discovery of exposure markers in urine for Brassica-containing meals served with different protein sources by UPLC-qTOF-MS untargeted metabolomics. Metabolomics. 2013;9:984–97.CrossRef

19•.

Guasch-Ferré M, Bhupathiraju SN, Hu FB. Use of metabolomics in improving assessment of dietary intake. Clin Chem. 2018;64:82–98 This review discusses measurement techniques in metabolomic profiling, study designs, and statistical approaches to analyze metabolomics data.PubMedCrossRef

20.

USDA. A series of systematic reviews on the relationship between dietary patterns and health outcomes. Alexandria: US Department of Agriculture; 2014.

21.

Hu FB. Dietary pattern analysis: a new direction in nutritional epidemiology. Curr Opin Lipidol. 2002;13:3–9.PubMedCrossRef

22.

Krebs-Smith SM, Pannucci TE, Subar AF, Kirkpatrick SI, Lerman JL, Tooze JA, et al. Update of the Healthy Eating Index: HEI-2015. J Acad Nutr Diet. 2018;118:1591–602.PubMedPubMedCentralCrossRef

23.

McCullough ML, Feskanich D, Stampfer MJ, Giovannucci EL, Rimm EB, Hu FB, et al. Diet quality and major chronic disease risk in men and women: moving toward improved dietary guidance. Am J Clin Nutr. 2002;76:1261–71.PubMedCrossRef

24.

Fung TT, Chiuve SE, McCullough ML, Rexrode KM, Logroscino G, Hu FB. Adherence to a DASH-style diet and risk of coronary heart disease and stroke in women. Arch Intern Med. 2008;168:713–20.PubMedCrossRef

25.

Trichopoulou A, Costacou T, Bamia C, Trichopoulos D. Adherence to a Mediterranean diet and survival in a Greek population. N Engl J Med. 2003;348:2599–608.PubMedCrossRef

26.

Appleby PN, Crowe FL, Bradbury KE, Travis RC, Key TJ. Mortality in vegetarians and comparable nonvegetarians in the United Kingdom. Am J Clin Nutr. 2016;103:218–30.PubMedCrossRef

27.

Hoffmann K, Schulze MB, Schienkiewitz A, Nöthlings U, Boeing H. Application of a new statistical method to derive dietary patterns in nutritional epidemiology. Am J Epidemiol. Oxford Academic. 2004;159:935–44.PubMedCrossRef

28.

Gleason PM, Boushey CJ, Harris JE, Zoellner J. Publishing nutrition research: a review of multivariate techniques—Part 3: Data reduction methods. J Acad Nutr Diet. 2015;115:1072–82.PubMedCrossRef

29.

Devlin UM, McNulty BA, Nugent AP, Gibney MJ. The use of cluster analysis to derive dietary patterns: methodological considerations, reproducibility, validity and the effect of energy mis-reporting. Proc Nutr Soc. Cambridge University Press. 2012;71:599–609.PubMedCrossRef

30.

Heidemann C, Schulze MB, Franco OH, van Dam RM, Mantzoros CS, Hu FB. Dietary patterns and risk of mortality from cardiovascular disease, cancer, and all causes in a prospective cohort of women. Circulation. 2008;118:230–7.PubMedPubMedCentralCrossRef

31.

Bhupathiraju SN, Guasch-Ferré M, Gadgil MD, Newgard CB, Bain JR, Muehlbauer MJ, et al. Dietary patterns among Asian Indians living in the United States have distinct metabolomic profiles that are associated with cardiometabolic risk. J Nutr. 2018;148:1150–9.PubMedPubMedCentralCrossRef

32.

O’Sullivan A, Gibney MJ, Brennan L. Dietary intake patterns are reflected in metabolomic profiles: potential role in dietary assessment studies. Am J Clin Nutr. 2011;93:314–21.PubMedCrossRef

33.

Estruch R, Ros E, Salas-Salvadó J, Covas M-I, Corella D, Arós F, et al. Primary prevention of cardiovascular disease with a Mediterranean diet supplemented with extra-virgin olive oil or nuts. N Engl J Med. 2018;378:e34.PubMedCrossRef

34.

Tong TYN, Appleby PN, Bradbury KE, Perez-Cornago A, Travis RC, Clarke R, et al. Risks of ischaemic heart disease and stroke in meat eaters, fish eaters, and vegetarians over 18 years of follow-up: results from the prospective EPIC-Oxford study. BMJ. 366:I4897.

35.

Smith L, Villaret-Cazadamont J, Claus SP, Canlet C, Guillou H, Cabaton NJ, et al. Important considerations for sample collection in metabolomics studies with a special focus on applications to liver functions. Metabolites. 2020;10.

36.

Tebani A, Bekri S. Paving the way to precision nutrition through metabolomics. Front Nutr. 2019;6:41.

37.

Maruvada P, Lampe JW, Wishart DS, Barupal D, Chester DN, Dodd D, et al. Perspective: dietary biomarkers of intake and exposure—exploration with omics approaches. Adv Nutr. 2020;11:200–15.PubMedCrossRef

38.

Ryan EP, Heuberger AL, Broeckling CD, Borresen EC, Tillotson C, Prenni JE. Advances in nutritional metabolomics. Curr Metabolomics. 2013;1:109–20.PubMedPubMedCentralCrossRef

39•.

Toledo E, Wang DD, Ruiz-Canela M, Clish CB, Razquin C, Zheng Y, et al. Plasma lipidomic profiles and cardiovascular events in a randomized intervention trial with the Mediterranean diet. Am J Clin Nutr. Oxford Academic; 2017;106:973–83. This study examined how plasma lipidomic profiles changed in participants assigned to a Mediterranean diet intervention and were provided with extra virgin olive oil or nuts compared to participants assigned to a control diet intervention. The study reported that plasma concentrations of several lipids changed significantly, but none of the lipids was significantly associated with incident CVD.

40.

Yu B, Zanetti KA, Temprosa M, Albanes D, Appel N, Barrera CB, et al. The Consortium of Metabolomics Studies (COMETS): metabolomics in 47 prospective cohort studies. Am J Epidemiol. Oxford Academic. 2019;188:991–1012.PubMedPubMedCentralCrossRef

41•.

Kim H, Hu EA, Wong K, Yu B, Steffen LM, Seidelmann SB, et al. Serum metabolites associated with healthy diets in African Americans and European Americans. J Nutr. 2021;151:40–9; This paper presents serum metabolomic profiles of 4 healthy dietary patterns (HEI-2015, AHEI-2010, DASH diet, aMED) in African Americans and European Americans. In this study, 17 metabolites were significantly associated with 4 healthy dietary patterns and 6 out of 17 metabolites were associated with more than one dietary pattern.

42.

Walker ME, Song RJ, Xu X, Gerszten RE, Ngo D, Clish CB, et al. Proteomic and metabolomic correlates of healthy dietary patterns: the Framingham Heart Study. Nutrients. 2020;12:1476.PubMedCentralCrossRef

43.

Bagheri M, Willett W, Townsend MK, Kraft P, Ivey KL, Rimm EB, et al. A lipid-related metabolomic pattern of diet quality. Am J Clin Nutr. 2020;112:1613–30.

44•.

TYN T, Koulman A, Griffin JL, Wareham NJ, Forouhi NG, Imamura F. A combination of metabolites predicts adherence to the Mediterranean diet pattern and its associations with insulin sensitivity and lipid homeostasis in the general population: the Fenland study, United Kingdom. J Nutr. 2020;150:568–78 This cross-sectional study identified 66 metabolites associated with greater adherence to the Mediterranean Diet Score in a general population in the UK. The study reported that some subclasses of these diet-related metabolites mediated the association between the Mediterranean Diet Score and a number of cardiovascular risk factors, particularly insulin resistance. The study found that the 66 metabolites collectively explained 37.2% of the association between the Mediterranean Diet Score and insulin resistance.CrossRef

45•.

Bondia-Pons I, Martinez JA, de la Iglesia R, Lopez-Legarrea P, Poutanen K, Hanhineva K, et al. Effects of short- and long-term Mediterranean-based dietary treatment on plasma LC-QTOF/MS metabolic profiling of subjects with metabolic syndrome features: The Metabolic Syndrome Reduction in Navarra (RESMENA) randomized controlled trial. Mol Nutr Food Res. 2015;59:711–28 This study investigated metabolomic profiles of participants randomly assigned to an energy-restricted Mediterranean diet intervention or a control diet intervention. Importantly, the study compared how serum metabolomic profiles of participants assigned to a Mediterranean diet intervention changed at the 2-month follow-up visit and at the 6-month follow-up visit compared to baseline.PubMedCrossRef

46.

Schmidt JA, Rinaldi S, Ferrari P, Carayol M, Achaintre D, Scalbert A, et al. Metabolic profiles of male meat eaters, fish eaters, vegetarians, and vegans from the EPIC-Oxford cohort. Am J Clin Nutr. 2015;102:1518–26.PubMedPubMedCentralCrossRef

47.

Lindqvist HM, Rådjursöga M, Malmodin D, Winkvist A, Ellegård L. Serum metabolite profiles of habitual diet: evaluation by 1H-nuclear magnetic resonance analysis. Am J Clin Nutr. 2019;110:53–62.PubMedPubMedCentralCrossRef

48.

Wishart DS, Feunang YD, Marcu A, Guo AC, Liang K, Vázquez-Fresno R, et al. HMDB 4.0: the human metabolome database for 2018. Nucleic Acids Res. 2018;46:D608–17.PubMedCrossRef

49.

Gibbons H, Michielsen CJR, Rundle M, Frost G, McNulty BA, Nugent AP, et al. Demonstration of the utility of biomarkers for dietary intake assessment; proline betaine as an example. Mol Nutr Food Res. 2017;61:1700037.CrossRef

50.

Heinzmann SS, Brown IJ, Chan Q, Bictash M, Dumas M-E, Kochhar S, et al. Metabolic profiling strategy for discovery of nutritional biomarkers: proline betaine as a marker of citrus consumption. Am J Clin Nutr. 2010;92:436–43.PubMedPubMedCentralCrossRef

51.

Zheng Y, Yu B, Alexander D, Steffen LM, Nettleton JA, Boerwinkle E. Metabolomic patterns and alcohol consumption in African Americans in the Atherosclerosis Risk in Communities Study. Am J Clin Nutr. 2014;99:1470–8.PubMedPubMedCentralCrossRef

52.

Krumsiek J, Mittelstrass K, Do KT, Stückler F, Ried J, Adamski J, et al. Gender-specific pathway differences in the human serum metabolome. Metabolomics. 2015;11:1815–33.PubMedPubMedCentralCrossRef

53.

Jourdan C, Petersen A-K, Gieger C, Döring A, Illig T, Wang-Sattler R, et al. Body fat free mass is associated with the serum metabolite profile in a population-based study. PLoS One. Public Library of Science. 2012;7:e40009.PubMedPubMedCentralCrossRef

54.

Lustgarten MS, Price LL, Chale A, Phillips EM, Fielding RA. Branched chain amino acids are associated with muscle mass in functionally limited older adults. J Gerontol A Biol Sci Med Sci. 2014;69:717–24.PubMedCrossRef

55.

Mathew AV, Seymour EM, Byun J, Pennathur S, Hummel SL. Altered metabolic profile with sodium-restricted Dietary Approaches to Stop Hypertension diet in hypertensive heart failure with preserved ejection fraction. J Card Fail. 2015;21:963–7.PubMedPubMedCentralCrossRef

56•.

Akbaraly T, Würtz P, Singh-Manoux A, Shipley MJ, Haapakoski R, Lehto M, et al. Association of circulating metabolites with healthy diet and risk of cardiovascular disease: analysis of two cohort studies. Sci Rep. 2018:8:8620. This study identified metabolites associated with AHEI-2010. Two fatty acids and 5 fatty acids ratios replicated in an independent population, i.e., the Young Finns study. The study found that unsaturated lipids, which were positively associated with AHEI scores, were inversely associated with incident CVD in the Whitehall II study.

57.

Macias S, Kirma J, Yilmaz A, Moore SE, McKinley MC, McKeown PP, et al. Application of 1H-NMR metabolomics for the discovery of blood plasma biomarkers of a Mediterranean diet. Metabolites. 2019;9:201.PubMedCentralCrossRef

58.

Kim S, Chen J, Cheng T, Gindulyte A, He J, He S, et al. PubChem 2019 update: improved access to chemical data. Nucleic Acids Res. 2019;47:D1102–9.PubMedCrossRef

59.

Kanehisa M, Goto S. KEGG: Kyoto Encyclopedia of Genes and Genomes. Nucleic Acids Res. 2000;28:27–30.PubMedPubMedCentralCrossRef

Titel: Metabolomic Biomarkers of Healthy Dietary Patterns and Cardiovascular Outcomes
verfasst von: Hyunju Kim
Casey M. Rebholz
Publikationsdatum: 01.06.2021
Verlag: Springer US
Erschienen in: Current Atherosclerosis Reports / Ausgabe 6/2021
Print ISSN: 1523-3804
Elektronische ISSN: 1534-6242
DOI: https://doi.org/10.1007/s11883-021-00921-8

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Abstract

Purpose of Review

Recent findings

Summary

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