Metabolomic profiling in patients with metabolic syndrome
https://doi.org/10.18087/cardio.2020.3.n903
Abstract
Objective. To identify biomarkers, which are most specific for patients with metabolic syndrome (MS) using metabolomic profiling.
Materials and Methods. Metabolomic profiling of patients with MS and comparison of their profile with the profile of volunteers was performed using high-performance liquid chromatography-mass-spectrometry.
Results. The metabolomic profile of MS patients differed in several amino acids, including choline, cysteine, and serine and in the acylcarnitine group (р<0.05 for all comparisons).
Conclusion. The metabolites most specific for MS patients were identified. Increased concentrations of a combination of amino acids and carnitines can be considered as possible additional risk factors for cardiovascular diseases.
About the Authors
E. O. KorobkovaRussian Federation
PhD student, Chair of Hospital Therapy №1
M. V. Kozhevnikova
Russian Federation
PhD, Assistant Professor
Chair of Hospital Therapy №1
I. S. Ilgisonis
Russian Federation
PhD, Assistant Professor
Chair of Hospital Therapy №1
G. A. Shakaryants
Russian Federation
PhD, Assistant Professor
Chair of Hospital Therapy №1
S. A. Appolonova
Russian Federation
PhD, Head of the Laboratory of Pharmacokinetics and Metabolomics Analysis of the Institute of Translational Medicine and Biotechnology
A. V. Kukharenko
Russian Federation
Researcher, Pharmacokinetics and Metabolomics Laboratory of the Institute of Translational Medicine and Biotechnology
E. V. Larcova
Russian Federation
Scientific Research Institute of Uronephrology and Human Reproductive Health
A. A. Maltseva
Russian Federation
Student, the International School of Medicine of the Future
N. V. Khabarova
Russian Federation
PhD, Assistant Professor
Chair of Hospital Therapy №1
Yu. N. Belenkov
Russian Federation
Head of the Chair, Academician of RAS, Doctor of Medical Sciences, Professor
Chair of Hospital Therapy №1
References
1. Jiang Z., Zhou X., Li R., Michal J.J., Zhang S., Dodson M.V.,et al. Whole transcriptome analysis with sequencing: methods, challenges and potential solutions. CellMolLifeSci. 2015;72(18):3425–3439. DOI:10.1007/s00018-015-1934-y
2. Nicholson J.K., Lindon J.C. Systems biology: metabonomics. Nature 2008; 455: 1054-1056.DOI:10.1038/4551054a
3. Serkova N.J., Niemann C.U. Pattern recognition and biomarker validation using quantitative1H-NMR-based metabolomics. Expert Rev MolDiagn 2006; 6: 717-731.DOI:10.1586/14737159.6.5.717
4. Crutchfield C.A., Lu W., Melamud E., Rabinowitz J.D.Mass Spectrometry-Based Metabolomics of Yeast. Methods in Enzymology, volume 470, 2010, Pages 393-426. DOI:10.1016/S0076-6879(10)70016-1. PMID: 20946819
5. Coen M., Holmes E., Lindon J.C. Nicholson J.K.NMR-based metabolic profiling and metabonomic approaches to problems in molecular toxicology. Chem Res Toxicol 2008; 21: 9-27.DOI:10.1021/tx700335d
6. Pan Z., Raftery D. Comparing and combining NMR spectroscopy and mass spectrometry in metabolomics. Anal BioanalChem 2007; 387: 525-527.DOI: 10.1007/s00216-006-0687-8
7. Fiehn O. Metabolomics by Gas Chromatography-Mass Spectrometry: Combined Targeted and Untargeted Profiling.CurrProtocMolBiol. 2016 Apr 1;114:30.4.1-30.4.32. DOI: 10.1002/0471142727.mb3004s114.
8. Wiklund P.K., Pekkala S., Autio R., Munukka E., Xu L., Saltevo J. et.al. Serum metabolic profiles in overweight and obese women with and without metabolic syndromeDiabetolMetabSyndr. 2014; 6: 40.DOI: 10.1186/1758-5996-6-40
9. Clinical recommendations for metabolic syndrome developed on behalf of the Ministry of Health of the Russian Federation, 2013. http://www.gipertonik.ru/files/recommendation/Recommendations_metabolic_syndrome.doc
10. Lent-Schochet D., McLaughlin M., Ramakrishnan N. Jialal I. Exploratory metabolomics of metabolic syndrome: A status report. World J Diabetes. 2019 Jan 15; 10(1): 23–36. DOI: 10.4239/wjd.v10.i1.23
11. Li J., Kemp B.A., Howell N.L., Massey J., Mińczuk K., Huang Q. et al. Metabolic Changes in Spontaneously Hypertensive Rat Hearts Precede Cardiac Dysfunction and Left Ventricular Hypertrophy. J Am Heart Assoc. 2019;8(4):e010926. DOI:10.1161/JAHA.118.010926
12. Schartum-Hansen H., Pedersen E. R, Svingen G.F., Ueland P.M., Seifert R, Ebbing M et al. Plasma choline, smoking, and long-term prognosis in patients with stable angina pectoris. European Journal of PreventiveCardiology. 2015 May; 22(5):606-14.DOI: 10.1177/2047487314524867
13. Konstantinova S.V., Tell G.S., Vollset S.E., Nygård O., Bleie Ø., Ueland P.M. Divergent associations of plasma choline and betaine with components of metabolic syndrome in middle age and elderly men and women. PMJNutr. 2008 May; 138(5):914-20.DOI: 10.1093/jn/138.5.914
14. Roe A.J., Zhang S., Bhadelia R.A., Johnson E.J., Lichtenstein A.H., Rogers G.T. et al. Choline and its metabolites are differently associated with cardiometabolic risk factors, history of cardiovascular disease, and MRI-documented cerebrovascular disease in older adults. Am J ClinNutr. 2017;105(6):1283–1290. DOI:10.3945/ajcn.116.137158
15. Mohorko N, Petelin A, Jurdana M, et al. Elevated serum levels of cysteine and tyrosine: early biomarkers in asymptomatic adults at increased risk of developing metabolic syndrome. Biomed Res Int. 2015;2015:418681. DOI: 10.1155/2015/418681
Review
For citations:
Korobkova E.O., Kozhevnikova M.V., Ilgisonis I.S., Shakaryants G.A., Appolonova S.A., Kukharenko A.V., Larcova E.V., Maltseva A.A., Khabarova N.V., Belenkov Yu.N. Metabolomic profiling in patients with metabolic syndrome. Kardiologiia. 2020;60(3):37-43. https://doi.org/10.18087/cardio.2020.3.n903