Features of the relationship of intestinal microbiota indicators with clinical and biochemical parameters in obese young people
https://doi.org/10.14341/probl13454
Abstract
BACKGROUND: The prevalence of obesity is rising dramatically worldwide. Recently, there is increasing evidence linking obesity with the functional state of the intestinal microbiota. The understanding of this relationship may provide new approaches to the treatment of obesity by manipulating the qualitative and quantitative parameters of intestinal bacterial-fungal associations.
AIM: To study the features of the qualitative and quantitative composition of the colon microbiota and to evaluate associations with anamnestic, anthropometric and biochemical parameters in young obese patients.
MATERIALS AND METHODS: A single-center, cross-sectional, single-stage, controlled study was conducted with the participation of 118 young people, of whom 87 were obese, and 31 people with normal body weight formed the control group. All participants underwent a biochemical blood test (total cholesterol, high-density lipoproteins, low-density lipoproteins, very low-density lipoproteins, triglycerides, uric acid, glucose, glycated hemoglobin, C-reactive protein), as well as an assessment of the state of the colon microbiota using polymerase chain reaction in real time using a set of Colonoflor-16 (premium) reagents. The Microsoft Excel 2010 and IBM SPSS Statistics 26.0 application software package was used for statistical calculations. The results were evaluated as statistically significant at a level of p<0.05.
RESULTS: Analyzing the result of Colonoflor-16 premium, the discrepancy between the obtained data of the control group and the reference values of the analysis was revealed. There was a clear tendency to decrease the content of Lactobacillus spp and Bifidobacterium spp in the obesity group. In addition, in comparison with the control group (10.3%), in the obesity group Fusobacterium nucleatum significantly prevailed (37.6%) (p=0.005), with a significant decrease in the bacteria Faecalibacterium prausnitzii (p=0.030), and an increase in the bacteria Prevotella spp (p=0.029). A lot of associations of representatives of the colon microbiota with the most important anamnestic, anthropometric and biochemical parameters were revealed in young obese patients.
CONCLUSION: There is a redistribution of microbiota phylotypes characterized by a decrease in apathogenic microorganisms and the appearance and increase of opportunistic and pathogenic microorganisms, which generally indicates the formation of the pro-inflammatory potential of dominants and associates in young obese patients. The presence of statistically significant correlations strongly indicates of existence of close and diverse relationships between the quantitative and qualitative parameters of the microbiota and the metabolic parameters of patients.
About the Authors
T. S. DushinaRussian Federation
Tatiana S. Dushina
Tyumen
Competing Interests:
none
L. A. Suplotova
Russian Federation
Lyudmila A. Suplotova
Tyumen
Competing Interests:
none
S. M. Klyashev
Russian Federation
Sergey M. Klyashev
Tyumen
Competing Interests:
none
M. V. Nikolenko
Russian Federation
Marina V. Nikolenko
Tyumen
Competing Interests:
none
E. F. Dorodneva
Russian Federation
Elena F. Dorodneva
Tyumen
Competing Interests:
none
References
1. Hoffman DJ, Powell TL, Barrett ES, Hardy DB. Developmental origins of metabolic diseases. Physiol Rev. 2021;101(3):739-795. https://doi.org/10.1152/physrev.00002.2020
2. Charles-Messance H, Mitchelson KAJ, De Marco Castro E et al. Regulating metabolic inflammation by nutritional modulation. J Allergy Clin Immunol. 2020;146(4):706-720. https://doi.org/10.1016/j.jaci.2020.08.013
3. Rinninella E, Raoul P, Cintoni M et al. What is the Healthy Gut Microbiota Composition? A Changing Ecosystem across Age, Environment, Diet, and Diseases. Microorganisms. 2019;7:14. https://doi.org/10.3390/microorganisms7010014
4. Gasmi A, Mujawdiya Gasmi A, Mujawdiya PK et al. Relationship between Gut Microbiota, Gut Hyperpermeability and Obesity. Curr. Med. Chem. 2021;28:827–839. https://doi.org/10.2174/0929867327666200721160313
5. Bäckhed F, Ding H, Wang T et al. The gut microbiota as an environmental factor that regulates fat storage. Proc Natl Acad Sci U S A. 2004;101(44):15718-15723. https://doi.org/10.1073/pnas.0407076101
6. Ridaura VK, Faith JJ, Rey FE et al. Gut microbiota from twins discordant for obesity modulate metabolism in mice. Science. 2013;341(6150):1241214. https://doi.org/10.1126/science.1241214
7. Palmas V, Pisanu S, Madau V et al. Gut microbiota markers associated with obesity and overweight in Italian adults. Sci Rep. 2021;11(1):5532. https://doi.org/10.1038/s41598-021-84928-w
8. Wu T, Wang H-C, Lu W-W et al. Characteristics of gut microbiota of obese people and machine learning model. Microbiol China. 2020;47:4328–4337. https://doi.org/10.13344/j.microbiol.china.200098
9. Romaní-Pérez M, Bullich-Vilarrubias C, López-Almela I et al. The Microbiota and the Gut-Brain Axis in Controlling Food Intake and Energy Homeostasis. Int J Mol Sci. 2021;22(11):5830. https://doi.org/10.3390/ijms22115830
10. Ciobârcă D, Cătoi AF, Copăescu C et al. Bariatric surgery in obesity: Effects on gut microbiota and micronutrient status. Nutrients. 2020;12(1):235. https://doi.org/10.3390/nu12010235
11. Arezoo Asadi, Negar Shadab Mehr, Mohamad Hosein Mohamadi et.al Obesity and gut–microbiota–brain axis: A narrative review. J Clin Lab Anal. 2022;36(5):e24420. https://doi.org/10.1002/jcla.24420
12. Al Bander Z, Nitert MD, Mousa A, Naderpoor N. The gut microbiota and inflammation: An overview. Int J Environ Res Public Health. 2020;17(20):7618. https://doi.org/10.3390/ijerph17207618
13. Muscogiuri G, Cantone E, Cassarano S et al. Gut microbiota: a new path to treat obesity. Int J Obes Suppl. 2019;9(1):10-19. https://doi.org/10.1038/s41367-019-0011-7.
14. Integrative HMP (iHMP) Research Network Consortium. The Integrative Human Microbiome Project: dynamic analysis of microbiome-host omics profiles during periods of human health and disease. Cell Host Microbe. 2014;16(3):276-289. https://doi.org/10.1016/j.chom.2014.08.014
15. Pedersen HK, Gudmundsdottir V, Nielsen HB et al. Human gut microbes impact host serum metabolome and insulin sensitivity. Nature. 2016;535(7612):376-381. https://doi.org/10.1038/nature18646
16. Fan Z, Tang P, Li C et al. Fusobacterium nucleatum and its associated systemic diseases: epidemiologic studies and possible mechanisms. J Oral Microbiol. 2022;15(1):2145729 https://doi.org/10.1080/20002297.2022.2145729
17. Gao R, Zhu C, Li H et al. Dysbiosis signatures of gut microbiota along the sequence from healthy, young patients to those with overweight and obesity. Obesity. 2018;26(2):351–361. https://doi.org/10.1002/oby.22088
18. Hippe B, Remely M, Aumueller E et al. Faecalibacterium prausnitzii phylotypes in type two diabetic, obese, and lean control subjects. Benef Microbes. 2016;7(4):511–517. https://doi.org/10.3920/BM2015.0075
19. Balamurugan R, George G, Kabeerdoss J et al. Quantitative differences in intestinal Faecalibacterium prausnitzii in obese Indian children. Br J Nutr. 2010;103(3):335-338. https://doi.org/10.1017/S0007114509992182
Review
For citations:
Dushina T.S., Suplotova L.A., Klyashev S.M., Nikolenko M.V., Dorodneva E.F. Features of the relationship of intestinal microbiota indicators with clinical and biochemical parameters in obese young people. Problems of Endocrinology. 2024;70(4):84-93. (In Russ.) https://doi.org/10.14341/probl13454

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