Cargando…
Gut Microbiota in Patients with Different Metabolic Statuses: Moscow Study
The aim of this paper was to study gut microbiota composition in patients with different metabolic statuses. Methods: 92 participants aged 25–76 years (26 of whom were men), with confirmed absence of cardiovascular and other chronic diseases (but with the possible presence of cardiovascular risk fac...
Autores principales: | , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6313665/ https://www.ncbi.nlm.nih.gov/pubmed/30257444 http://dx.doi.org/10.3390/microorganisms6040098 |
_version_ | 1783383985538203648 |
---|---|
author | Kashtanova, Daria A. Tkacheva, Olga N. Doudinskaya, Ekaterina N. Strazhesko, Irina D. Kotovskaya, Yulia V. Popenko, Anna S. Tyakht, Alexander V. Alexeev, Dmitry G. |
author_facet | Kashtanova, Daria A. Tkacheva, Olga N. Doudinskaya, Ekaterina N. Strazhesko, Irina D. Kotovskaya, Yulia V. Popenko, Anna S. Tyakht, Alexander V. Alexeev, Dmitry G. |
author_sort | Kashtanova, Daria A. |
collection | PubMed |
description | The aim of this paper was to study gut microbiota composition in patients with different metabolic statuses. Methods: 92 participants aged 25–76 years (26 of whom were men), with confirmed absence of cardiovascular and other chronic diseases (but with the possible presence of cardiovascular risk factors) were included. Carotid ultrasound examinations, 16S rRNA sequencing of stool samples and diet assessments were performed. Statistical analysis was performed using R programming language, 3.1.0. Results: Enterotyping yielded two clusters differentiated by alpha-diversity. Intima-media thickness was higher in the cluster with lower diversity (adj. p < 0.001). Obesity was associated with higher Serratia (adj. p = 0.003) and Prevotella (adj. p < 0.0003) in relative abundance. Abdominal obesity was associated with higher abundance of Serratia (adj. p = 0.004) and Prevotella (adj. p = 0.0008) and lower levels of Oscillospira (adj. p = 0.0005). Glucose metabolism disturbances were associated with higher Blautia (adj. p = 0.0007) and Serratia (adj. p = 0.003) prevalence. Arterial hypertension was associated with high Blautia levels (adj. p = 0.002). The Blautia genus strongly correlated with low resistant starch consumption (adj. p = 0.007). A combination of high-fat diet and elevated Blautia levels was very common for diabetes mellitus type 2 patients (adj. p = 0.0001). Conclusion: The results show that there is a relationship between metabolic changes and higher representation of opportunistic pathogens and low diversity of gut microbiota even in apparently healthy participants. |
format | Online Article Text |
id | pubmed-6313665 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-63136652019-01-04 Gut Microbiota in Patients with Different Metabolic Statuses: Moscow Study Kashtanova, Daria A. Tkacheva, Olga N. Doudinskaya, Ekaterina N. Strazhesko, Irina D. Kotovskaya, Yulia V. Popenko, Anna S. Tyakht, Alexander V. Alexeev, Dmitry G. Microorganisms Article The aim of this paper was to study gut microbiota composition in patients with different metabolic statuses. Methods: 92 participants aged 25–76 years (26 of whom were men), with confirmed absence of cardiovascular and other chronic diseases (but with the possible presence of cardiovascular risk factors) were included. Carotid ultrasound examinations, 16S rRNA sequencing of stool samples and diet assessments were performed. Statistical analysis was performed using R programming language, 3.1.0. Results: Enterotyping yielded two clusters differentiated by alpha-diversity. Intima-media thickness was higher in the cluster with lower diversity (adj. p < 0.001). Obesity was associated with higher Serratia (adj. p = 0.003) and Prevotella (adj. p < 0.0003) in relative abundance. Abdominal obesity was associated with higher abundance of Serratia (adj. p = 0.004) and Prevotella (adj. p = 0.0008) and lower levels of Oscillospira (adj. p = 0.0005). Glucose metabolism disturbances were associated with higher Blautia (adj. p = 0.0007) and Serratia (adj. p = 0.003) prevalence. Arterial hypertension was associated with high Blautia levels (adj. p = 0.002). The Blautia genus strongly correlated with low resistant starch consumption (adj. p = 0.007). A combination of high-fat diet and elevated Blautia levels was very common for diabetes mellitus type 2 patients (adj. p = 0.0001). Conclusion: The results show that there is a relationship between metabolic changes and higher representation of opportunistic pathogens and low diversity of gut microbiota even in apparently healthy participants. MDPI 2018-09-25 /pmc/articles/PMC6313665/ /pubmed/30257444 http://dx.doi.org/10.3390/microorganisms6040098 Text en © 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Kashtanova, Daria A. Tkacheva, Olga N. Doudinskaya, Ekaterina N. Strazhesko, Irina D. Kotovskaya, Yulia V. Popenko, Anna S. Tyakht, Alexander V. Alexeev, Dmitry G. Gut Microbiota in Patients with Different Metabolic Statuses: Moscow Study |
title | Gut Microbiota in Patients with Different Metabolic Statuses: Moscow Study |
title_full | Gut Microbiota in Patients with Different Metabolic Statuses: Moscow Study |
title_fullStr | Gut Microbiota in Patients with Different Metabolic Statuses: Moscow Study |
title_full_unstemmed | Gut Microbiota in Patients with Different Metabolic Statuses: Moscow Study |
title_short | Gut Microbiota in Patients with Different Metabolic Statuses: Moscow Study |
title_sort | gut microbiota in patients with different metabolic statuses: moscow study |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6313665/ https://www.ncbi.nlm.nih.gov/pubmed/30257444 http://dx.doi.org/10.3390/microorganisms6040098 |
work_keys_str_mv | AT kashtanovadariaa gutmicrobiotainpatientswithdifferentmetabolicstatusesmoscowstudy AT tkachevaolgan gutmicrobiotainpatientswithdifferentmetabolicstatusesmoscowstudy AT doudinskayaekaterinan gutmicrobiotainpatientswithdifferentmetabolicstatusesmoscowstudy AT strazheskoirinad gutmicrobiotainpatientswithdifferentmetabolicstatusesmoscowstudy AT kotovskayayuliav gutmicrobiotainpatientswithdifferentmetabolicstatusesmoscowstudy AT popenkoannas gutmicrobiotainpatientswithdifferentmetabolicstatusesmoscowstudy AT tyakhtalexanderv gutmicrobiotainpatientswithdifferentmetabolicstatusesmoscowstudy AT alexeevdmitryg gutmicrobiotainpatientswithdifferentmetabolicstatusesmoscowstudy |