Nicholson JK, Lindon JC. Systems biology: metabonomics. Nature. 2008;455(7216):1054–6. https://doi.org/10.1038/4551054a.
Article CAS PubMed Google Scholar
Collins FS, Varmus H. A new initiative on precision medicine. N Engl J Med. 2015;372(9):793–5. https://doi.org/10.1056/NEJMp1500523.
Article CAS PubMed PubMed Central Google Scholar
Beger RD, Dunn W, Schmidt MA, et al. Metabolomics enables precision medicine: “a white paper, community perspective.” Metabolomics. 2016;12(9):149. https://doi.org/10.1007/s11306-016-1094-6.
Article CAS PubMed PubMed Central Google Scholar
Cruz DE, Tahir UA, Hu J, et al. Metabolomic analysis of coronary heart disease in an African American cohort from the Jackson Heart Study. JAMA Cardiol. 2022;7(2):184–94. https://doi.org/10.1001/jamacardio.2021.4925.
Li J, Guasch-Ferré M, Chung W, et al. The mediterranean diet, plasma metabolome, and cardiovascular disease risk. Eur Heart J. 2020;41(28):2645–56. https://doi.org/10.1093/eurheartj/ehaa209.
Article CAS PubMed PubMed Central Google Scholar
Cavus E, Karakas M, Ojeda FM, et al. Association of circulating metabolites with risk of coronary heart disease in a European population: results from the Biomarkers for Cardiovascular Risk Assessment in Europe (BiomarCaRE) Consortium. JAMA Cardiol. 2019;4(12):1270–9. https://doi.org/10.1001/jamacardio.2019.4130.
Article PubMed PubMed Central Google Scholar
Paynter NP, Balasubramanian R, Giulianini F, et al. Metabolic predictors of incident coronary heart disease in women. Circulation. 2018;137(8):841–53. https://doi.org/10.1161/CIRCULATIONAHA.117.029468.
Article PubMed PubMed Central Google Scholar
Ruiz-Canela M, Hruby A, Clish CB, Liang L, Martínez-González MA, Hu FB. Comprehensive metabolomic profiling and incident cardiovascular disease: a systematic review. J Am Heart Assoc. 2017. https://doi.org/10.1161/JAHA.117.005705.
Article PubMed PubMed Central Google Scholar
Würtz P, Havulinna AS, Soininen P, et al. Metabolite profiling and cardiovascular event risk: a prospective study of 3 population-based cohorts. Circulation. 2015;131(9):774–85. https://doi.org/10.1161/CIRCULATIONAHA.114.013116.
Article CAS PubMed PubMed Central Google Scholar
Zeleznik OA, Clish CB, Kraft P, Avila-Pacheco J, Eliassen AH, Tworoger SS. Circulating lysophosphatidylcholines, phosphatidylcholines, ceramides, and sphingomyelins and ovarian cancer risk: a 23-year prospective study. J Natl Cancer Inst. 2019;112(6):628–36. https://doi.org/10.1093/jnci/djz195.
Article CAS PubMed Central Google Scholar
Moore SC, Playdon MC, Sampson JN, et al. A metabolomics analysis of body mass index and postmenopausal breast cancer risk. J Natl Cancer Inst. 2018;110(6):588–97. https://doi.org/10.1093/jnci/djx244.
Article CAS PubMed PubMed Central Google Scholar
Kühn T, Floegel A, Sookthai D, et al. Higher plasma levels of lysophosphatidylcholine 18:0 are related to a lower risk of common cancers in a prospective metabolomics study. BMC Med. 2016;14:13. https://doi.org/10.1186/s12916-016-0552-3.
Article CAS PubMed PubMed Central Google Scholar
Huang J, Mondul AM, Weinstein SJ, et al. Serum metabolomic profiling of prostate cancer risk in the prostate, lung, colorectal, and ovarian cancer screening trial. Br J Cancer. 2016;115(9):1087–95. https://doi.org/10.1038/bjc.2016.305.
Article CAS PubMed PubMed Central Google Scholar
Mondul AM, Moore SC, Weinstein SJ, Karoly ED, Sampson JN, Albanes D. Metabolomic analysis of prostate cancer risk in a prospective cohort: the alpha-tocolpherol, beta-carotene cancer prevention (ATBC) study. Int J Cancer. 2015;137(9):2124–32. https://doi.org/10.1002/ijc.29576.
Article CAS PubMed PubMed Central Google Scholar
Mayers JR, Wu C, Clish CB, et al. Elevation of circulating branched-chain amino acids is an early event in human pancreatic adenocarcinoma development. Nat Med. 2014;20(10):1193–8. https://doi.org/10.1038/nm.3686.
Article CAS PubMed PubMed Central Google Scholar
Guasch-Ferré M, Hruby A, Toledo E, et al. Metabolomics in prediabetes and diabetes: a systematic review and meta-analysis. Diabetes Care. 2016;39(5):833–46. https://doi.org/10.2337/dc15-2251.
Article CAS PubMed PubMed Central Google Scholar
Yu D, Moore SC, Matthews CE, et al. Plasma metabolomic profiles in association with type 2 diabetes risk and prevalence in Chinese adults. Metabolomics. 2015;12(1):3. https://doi.org/10.1007/s11306-015-0890-8.
Article CAS PubMed PubMed Central Google Scholar
Menni C, Fauman E, Erte I, et al. Biomarkers for type 2 diabetes and impaired fasting glucose using a nontargeted metabolomics approach. Diabetes. 2013;62(12):4270–6. https://doi.org/10.2337/db13-0570.
Article CAS PubMed PubMed Central Google Scholar
Floegel A, Stefan N, Yu Z, et al. Identification of serum metabolites associated with risk of type 2 diabetes using a targeted metabolomic approach. Diabetes. 2013;62(2):639–48. https://doi.org/10.2337/db12-0495.
Article CAS PubMed PubMed Central Google Scholar
Wang TJ, Larson MG, Vasan RS, et al. Metabolite profiles and the risk of developing diabetes. Nat Med. 2011;17(4):448–53. https://doi.org/10.1038/nm.2307.
Article CAS PubMed PubMed Central Google Scholar
Huang T, Balasubramanian R, Yao Y, et al. Associations of depression status with plasma levels of candidate lipid and amino acid metabolites: a meta-analysis of individual data from three independent samples of US postmenopausal women. Molecular Psychiatry. 2020. https://doi.org/10.1038/s41380-020-00870-9.
Article PubMed PubMed Central Google Scholar
Liu X, Zheng P, Zhao X, et al. Discovery and validation of plasma biomarkers for major depressive disorder classification based on liquid chromatography-mass spectrometry. J Proteome Res. 2015;14(5):2322–30. https://doi.org/10.1021/acs.jproteome.5b00144.
Article CAS PubMed Google Scholar
Balasubramanian R, Paynter NP, Giulianini F, et al. Metabolomic profiles associated with all-cause mortality in the Women’s Health Initiative. Int J Epidemiol. 2020;49(1):289–300. https://doi.org/10.1093/ije/dyz211.
Deelen J, Kettunen J, Fischer K, et al. A metabolic profile of all-cause mortality risk identified in an observational study of 44,168 individuals. Nat Commun. 2019;10(1):3346. https://doi.org/10.1038/s41467-019-11311-9.
Article CAS PubMed PubMed Central Google Scholar
Yu B, Heiss G, Alexander D, Grams ME, Boerwinkle E. Associations between the serum metabolome and all-cause mortality among African Americans in the Atherosclerosis Risk in Communities (ARIC) study. Am J Epidemiol. 2016;183(7):650–6. https://doi.org/10.1093/aje/kwv213.
Article PubMed PubMed Central Google Scholar
Cheng S, Larson MG, McCabe EL, et al. Distinct metabolomic signatures are associated with longevity in humans. Nat Commun. 2015;6:6791. https://doi.org/10.1038/ncomms7791.
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