GUT MICROBIOTA AND ITS RELATIONS WITH CARDIOVASCULAR RISK FACTORS IN ALMOST HEALTHY INHABITANTS OF MOSCOW AND MOSCOW REGION

Aim. To investigate on the relation of microbiota content  and cardiovascular  risk factors  among  persons  with no  clinical signs  of cardiovascular diseases.

Material and methods. In the study, 92 Moscow and Moscow Region inhabitants included, men and women at age 25-76 y.o., with no clinical signs of chronic non-infectious diseases, not taking any medications, but with probable existence of cardiovascular risk factors. All participants underwent prescreening investigation that included physical examination, clinical and biochemical blood collection, electrocardiography,  thread-mill  test,  risk factors  assessment,  and sequencing  of the variable loci V3-V4 of the gene  16S of rRNA of gut microbiota.

Results. During the study, it was revealed that in the studied cohort there  were  more  opportunistic  bacteria  in  the  donors  having  risk factors:   Serratia  — in  obese   and  glucose   metabolism  disorder, Prevotella — in obese, disordered  glucose  metabolism  and  raised systolic pressure, Blautia — glucose  metabolism disorder  and raised systolic pressure. Amylolytic bacteria Oscillosipa were less common in obese.

Conclusion. The dysbalance   of gut  microbiota  with riased  level of opportunistic  bacteria  that  potentially initiate systemic  non-specific inflammation, is associated with the  existence  of cardiovascular  risk factors.

1. Rook GA, Raison CL, Lowry CA. Microbiota, immunoregulatory old friends and psychiatric disorders. Adv Exp Med Biol 2014;817:319-56. doi: 10.1007/978-1-4939-0897-4_15.

2. Ley RE, Peterson DA, Gordon JI. Ecological and evolutionary forces shaping microbial diversity in the human intestine. Cell 2006; 124(4): 837-48. doi: 10.1016/j.cell.2006.02.017.

3. Yumuk V, Tsigos C, Fried M, et al. European Guidelines for Obesity Management in Adults. Obes Facts 2015; 8(6): 402-24. doi: 10.1159/000442721.

4. American Diabetes A. Diagnosis and classification of diabetes mellitus. Diabetes Care 2014; 37 Suppl 1: S81-90. doi: 10.2337/dc14-S081.

5. Caporaso JG, Kuczynski J, Stombaugh J, et al. QIIME allows analysis of high-throughput community sequencing data. Nat Methods 2010; 7(5): 335-6. doi: 10.1038/nmeth.f.303.

6. Zhang H, Lu N, Feng C, et al. On fitting generalized linear mixed-effects models for binary responses using different statistical packages. Stat Med 2011; 30(20): 2562-72. doi: 10.1002/sim.4265.

7. Lozupone C, Hamady M, Knight R. UniFrac--an online tool for comparing microbial community diversity in a phylogenetic context. BMC Bioinformatics 2006; 7: 371. doi: 10.1186/1471-2105-7-371.

8. Thomas V, Clark J, Dore J. Fecal microbiota analysis: an overview of sample collection methods and sequencing strategies. Future Microbiol 2015; 10(9): 1485-504. doi: 10.2217/fmb.15.87.

9. Turnbaugh PJ, Hamady M, Yatsunenko T, et al. A core gut microbiome in obese and lean twins. Nature 2009; 457(7228): 480-4. doi: 10.1038/nature07540.

10. Remely M, Aumueller E, Jahn D, et al. Microbiota and epigenetic regulation of inflammatory mediators in type 2 diabetes and obesity. Benef Microbes 2014; 5(1): 33-43. doi: 10.3920/BM2013.006.

11. Arumugam M, Raes J, Pelletier E, et al. Enterotypes of the human gut microbiome. Nature 2011; 473(7346): 174-80. doi: 10.1038/nature09944.

12. Kida Y, Inoue H, Shimizu T, et al. Serratia marcescens serralysin induces inflammatory responses through protease-activated receptor 2. Infect Immun 2007; 75(1): 164-74. doi: 10.1128/IAI.01239-06.

13. Wright DP, Rosendale DI, Robertson AM. Prevotella enzymes involved in mucin oligosaccharide degradation and evidence for a small operon of genes expressed during growth on mucin. FEMS Microbiol Lett 2000; 190(1): 73-9.

14. Tuovinen E, Keto J, Nikkila J, et al. Cytokine response of human mononuclear cells induced by intestinal Clostridium species. Anaerobe 2013; 19: 70-6. doi: 10.1016/j.anaerobe.2012.11.002.

15. Tims S, Derom C, Jonkers DM, et al. Microbiota conservation and BMI signatures in adult monozygotic twins. ISME J 2013; 7(4): 707-17. doi: 10.1038/ismej.2012.146