Cargando…
Correlation between alterations of gut microbiota and miR-122-5p expression in patients with type 2 diabetes mellitus
BACKGROUND: To investigate the correlation between gut microbiota and circulating microRNAs (miRNAs) in patients with primary diagnosis of type 2 diabetes mellitus (T2DM) and to explore the possible mechanisms of miRNA-gut microbiota crosstalke network in the regulation of the insulin signaling path...
Autores principales: | , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
AME Publishing Company
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7729379/ https://www.ncbi.nlm.nih.gov/pubmed/33313226 http://dx.doi.org/10.21037/atm-20-6717 |
_version_ | 1783621445285314560 |
---|---|
author | Li, Lisha Li, Chaomin Lv, Meijun Hu, Qiongying Guo, Lixuan Xiong, Daqian |
author_facet | Li, Lisha Li, Chaomin Lv, Meijun Hu, Qiongying Guo, Lixuan Xiong, Daqian |
author_sort | Li, Lisha |
collection | PubMed |
description | BACKGROUND: To investigate the correlation between gut microbiota and circulating microRNAs (miRNAs) in patients with primary diagnosis of type 2 diabetes mellitus (T2DM) and to explore the possible mechanisms of miRNA-gut microbiota crosstalke network in the regulation of the insulin signaling pathway and glucose homeostasis in T2DM. METHODS: T2DM patients and normal controls were recruited. Fasting plasma and fecal samples were collected from the subjects, and their biochemical indexes including fasting blood glucose (FBG), glycated hemoglobin (HbAlc), cholesterol (TC), total triglycerides (TG), high-density lipoprotein (HDL), low-density lipoprotein (LDL), and insulin were recorded. The variations in intestinal microbiota in the two groups were analyzed using 16S rRNA third-generation sequencing technology, and the differential expression of miRNAs between the groups was screened using miRNA high-throughput sequencing. The correlation and association between specifically changed intestinal microbiota and miRNA expressions were analyzed using a combination of bioinformatics analysis and statistical methods. Finally, 16S functional gene prediction analysis and target gene enrichment pathway analysis were carried out to predict relevant gut microbiota and miRNAs. RESULTS: Compared with normal controls, the biochemical indexes of HAlbc, FBG, TG, TC, LDL, HDL, and insulin were significantly different in T2DM patients (P<0.001, P<0.001, P=0.0125, P=0.98, P<0.001 P=0.022, and P=0.0013, respectively). The two groups also showed significantly different intestinal microbiota distribution and miRNA expression characteristics, including in the counts of Bacteriodes. uniformis and Phascolarctobacterium. Faecium (P=0.023, 0.031), which were negatively correlated (P=0.014, FC = -2.36) with the expression levels of serum miR-122-5p (r=−0.68, −0.60, P=0.01, 0.01). CONCLUSIONS: This study discovered specific gut microbiota and miRNA characteristics in patients with a primary diagnosis of T2DM. A negative correlation between miR-122-5p and the intestinal bacteria Bacteriodes. uniformis and Phascolarctobacterium. Faecium was also revealed, suggesting that the crosstalke between miRNA and gut microbiota may regulate the insulin secretion and signal transduction by controling key genes of glucose metabolism during the development of T2DM. |
format | Online Article Text |
id | pubmed-7729379 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | AME Publishing Company |
record_format | MEDLINE/PubMed |
spelling | pubmed-77293792020-12-11 Correlation between alterations of gut microbiota and miR-122-5p expression in patients with type 2 diabetes mellitus Li, Lisha Li, Chaomin Lv, Meijun Hu, Qiongying Guo, Lixuan Xiong, Daqian Ann Transl Med Original Article BACKGROUND: To investigate the correlation between gut microbiota and circulating microRNAs (miRNAs) in patients with primary diagnosis of type 2 diabetes mellitus (T2DM) and to explore the possible mechanisms of miRNA-gut microbiota crosstalke network in the regulation of the insulin signaling pathway and glucose homeostasis in T2DM. METHODS: T2DM patients and normal controls were recruited. Fasting plasma and fecal samples were collected from the subjects, and their biochemical indexes including fasting blood glucose (FBG), glycated hemoglobin (HbAlc), cholesterol (TC), total triglycerides (TG), high-density lipoprotein (HDL), low-density lipoprotein (LDL), and insulin were recorded. The variations in intestinal microbiota in the two groups were analyzed using 16S rRNA third-generation sequencing technology, and the differential expression of miRNAs between the groups was screened using miRNA high-throughput sequencing. The correlation and association between specifically changed intestinal microbiota and miRNA expressions were analyzed using a combination of bioinformatics analysis and statistical methods. Finally, 16S functional gene prediction analysis and target gene enrichment pathway analysis were carried out to predict relevant gut microbiota and miRNAs. RESULTS: Compared with normal controls, the biochemical indexes of HAlbc, FBG, TG, TC, LDL, HDL, and insulin were significantly different in T2DM patients (P<0.001, P<0.001, P=0.0125, P=0.98, P<0.001 P=0.022, and P=0.0013, respectively). The two groups also showed significantly different intestinal microbiota distribution and miRNA expression characteristics, including in the counts of Bacteriodes. uniformis and Phascolarctobacterium. Faecium (P=0.023, 0.031), which were negatively correlated (P=0.014, FC = -2.36) with the expression levels of serum miR-122-5p (r=−0.68, −0.60, P=0.01, 0.01). CONCLUSIONS: This study discovered specific gut microbiota and miRNA characteristics in patients with a primary diagnosis of T2DM. A negative correlation between miR-122-5p and the intestinal bacteria Bacteriodes. uniformis and Phascolarctobacterium. Faecium was also revealed, suggesting that the crosstalke between miRNA and gut microbiota may regulate the insulin secretion and signal transduction by controling key genes of glucose metabolism during the development of T2DM. AME Publishing Company 2020-11 /pmc/articles/PMC7729379/ /pubmed/33313226 http://dx.doi.org/10.21037/atm-20-6717 Text en 2020 Annals of Translational Medicine. All rights reserved. https://creativecommons.org/licenses/by-nc-nd/4.0/Open Access Statement: This is an Open Access article distributed in accordance with the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International License (CC BY-NC-ND 4.0), which permits the non-commercial replication and distribution of the article with the strict proviso that no changes or edits are made and the original work is properly cited (including links to both the formal publication through the relevant DOI and the license). See: https://creativecommons.org/licenses/by-nc-nd/4.0 (https://creativecommons.org/licenses/by-nc-nd/4.0/) . |
spellingShingle | Original Article Li, Lisha Li, Chaomin Lv, Meijun Hu, Qiongying Guo, Lixuan Xiong, Daqian Correlation between alterations of gut microbiota and miR-122-5p expression in patients with type 2 diabetes mellitus |
title | Correlation between alterations of gut microbiota and miR-122-5p expression in patients with type 2 diabetes mellitus |
title_full | Correlation between alterations of gut microbiota and miR-122-5p expression in patients with type 2 diabetes mellitus |
title_fullStr | Correlation between alterations of gut microbiota and miR-122-5p expression in patients with type 2 diabetes mellitus |
title_full_unstemmed | Correlation between alterations of gut microbiota and miR-122-5p expression in patients with type 2 diabetes mellitus |
title_short | Correlation between alterations of gut microbiota and miR-122-5p expression in patients with type 2 diabetes mellitus |
title_sort | correlation between alterations of gut microbiota and mir-122-5p expression in patients with type 2 diabetes mellitus |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7729379/ https://www.ncbi.nlm.nih.gov/pubmed/33313226 http://dx.doi.org/10.21037/atm-20-6717 |
work_keys_str_mv | AT lilisha correlationbetweenalterationsofgutmicrobiotaandmir1225pexpressioninpatientswithtype2diabetesmellitus AT lichaomin correlationbetweenalterationsofgutmicrobiotaandmir1225pexpressioninpatientswithtype2diabetesmellitus AT lvmeijun correlationbetweenalterationsofgutmicrobiotaandmir1225pexpressioninpatientswithtype2diabetesmellitus AT huqiongying correlationbetweenalterationsofgutmicrobiotaandmir1225pexpressioninpatientswithtype2diabetesmellitus AT guolixuan correlationbetweenalterationsofgutmicrobiotaandmir1225pexpressioninpatientswithtype2diabetesmellitus AT xiongdaqian correlationbetweenalterationsofgutmicrobiotaandmir1225pexpressioninpatientswithtype2diabetesmellitus |