Cargando…

Analysis of intestinal microbial communities of cerebral infarction and ischemia patients based on high throughput sequencing technology and glucose and lipid metabolism

Currently, cerebral infarction (CI) is the leading cause of disability and the second leading cause of mortality in China, seriously affecting patient quality of life. Ischemia (IS) is considered to be the early stage of CI. The present study aims to investigate the variation of intestinal microbial...

Descripción completa

Detalles Bibliográficos
Autores principales: Ji, Wenzhen, Zhu, Yu, Kan, Pengcheng, Cai, Ying, Wang, Zhida, Wu, Zijian, Yang, Ping
Formato: Online Artículo Texto
Lenguaje:English
Publicado: D.A. Spandidos 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5647104/
https://www.ncbi.nlm.nih.gov/pubmed/28849032
http://dx.doi.org/10.3892/mmr.2017.7227
_version_ 1783272207869280256
author Ji, Wenzhen
Zhu, Yu
Kan, Pengcheng
Cai, Ying
Wang, Zhida
Wu, Zijian
Yang, Ping
author_facet Ji, Wenzhen
Zhu, Yu
Kan, Pengcheng
Cai, Ying
Wang, Zhida
Wu, Zijian
Yang, Ping
author_sort Ji, Wenzhen
collection PubMed
description Currently, cerebral infarction (CI) is the leading cause of disability and the second leading cause of mortality in China, seriously affecting patient quality of life. Ischemia (IS) is considered to be the early stage of CI. The present study aims to investigate the variation of intestinal microbial communities in patients with CI and IS using high throughput sequencing technology, and then analyze the results to identify a novel potential pathogenic mechanism of CI and IS. In total, 8 patients with CI, 2 patients with IS and 10 healthy volunteers as a control were selected. Throughput sequencing technology was used to analyze the character and microbial population of the gut. The abundance of Escherichia, Bacteroides, Megamonas, Parabacteroides, Akkermansia, Prevotella, Faecalibacterium, Dialister, Bifidobacterium and Ruminococcus was the significant difference in the intestinal microbial communities of the CI and IS patients compared with the healthy group. It was also observed that CI and IS were closely associated with internal glucose metabolism. The intestinal gut disturbance of CI patients may be one of the causes inducing CI by glucose metabolism and maybe considered as a potential method to predict the disease.
format Online
Article
Text
id pubmed-5647104
institution National Center for Biotechnology Information
language English
publishDate 2017
publisher D.A. Spandidos
record_format MEDLINE/PubMed
spelling pubmed-56471042017-10-24 Analysis of intestinal microbial communities of cerebral infarction and ischemia patients based on high throughput sequencing technology and glucose and lipid metabolism Ji, Wenzhen Zhu, Yu Kan, Pengcheng Cai, Ying Wang, Zhida Wu, Zijian Yang, Ping Mol Med Rep Articles Currently, cerebral infarction (CI) is the leading cause of disability and the second leading cause of mortality in China, seriously affecting patient quality of life. Ischemia (IS) is considered to be the early stage of CI. The present study aims to investigate the variation of intestinal microbial communities in patients with CI and IS using high throughput sequencing technology, and then analyze the results to identify a novel potential pathogenic mechanism of CI and IS. In total, 8 patients with CI, 2 patients with IS and 10 healthy volunteers as a control were selected. Throughput sequencing technology was used to analyze the character and microbial population of the gut. The abundance of Escherichia, Bacteroides, Megamonas, Parabacteroides, Akkermansia, Prevotella, Faecalibacterium, Dialister, Bifidobacterium and Ruminococcus was the significant difference in the intestinal microbial communities of the CI and IS patients compared with the healthy group. It was also observed that CI and IS were closely associated with internal glucose metabolism. The intestinal gut disturbance of CI patients may be one of the causes inducing CI by glucose metabolism and maybe considered as a potential method to predict the disease. D.A. Spandidos 2017-10 2017-08-11 /pmc/articles/PMC5647104/ /pubmed/28849032 http://dx.doi.org/10.3892/mmr.2017.7227 Text en Copyright: © Ji et al. This is an open access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License (https://creativecommons.org/licenses/by-nc-nd/4.0/) , which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made.
spellingShingle Articles
Ji, Wenzhen
Zhu, Yu
Kan, Pengcheng
Cai, Ying
Wang, Zhida
Wu, Zijian
Yang, Ping
Analysis of intestinal microbial communities of cerebral infarction and ischemia patients based on high throughput sequencing technology and glucose and lipid metabolism
title Analysis of intestinal microbial communities of cerebral infarction and ischemia patients based on high throughput sequencing technology and glucose and lipid metabolism
title_full Analysis of intestinal microbial communities of cerebral infarction and ischemia patients based on high throughput sequencing technology and glucose and lipid metabolism
title_fullStr Analysis of intestinal microbial communities of cerebral infarction and ischemia patients based on high throughput sequencing technology and glucose and lipid metabolism
title_full_unstemmed Analysis of intestinal microbial communities of cerebral infarction and ischemia patients based on high throughput sequencing technology and glucose and lipid metabolism
title_short Analysis of intestinal microbial communities of cerebral infarction and ischemia patients based on high throughput sequencing technology and glucose and lipid metabolism
title_sort analysis of intestinal microbial communities of cerebral infarction and ischemia patients based on high throughput sequencing technology and glucose and lipid metabolism
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5647104/
https://www.ncbi.nlm.nih.gov/pubmed/28849032
http://dx.doi.org/10.3892/mmr.2017.7227
work_keys_str_mv AT jiwenzhen analysisofintestinalmicrobialcommunitiesofcerebralinfarctionandischemiapatientsbasedonhighthroughputsequencingtechnologyandglucoseandlipidmetabolism
AT zhuyu analysisofintestinalmicrobialcommunitiesofcerebralinfarctionandischemiapatientsbasedonhighthroughputsequencingtechnologyandglucoseandlipidmetabolism
AT kanpengcheng analysisofintestinalmicrobialcommunitiesofcerebralinfarctionandischemiapatientsbasedonhighthroughputsequencingtechnologyandglucoseandlipidmetabolism
AT caiying analysisofintestinalmicrobialcommunitiesofcerebralinfarctionandischemiapatientsbasedonhighthroughputsequencingtechnologyandglucoseandlipidmetabolism
AT wangzhida analysisofintestinalmicrobialcommunitiesofcerebralinfarctionandischemiapatientsbasedonhighthroughputsequencingtechnologyandglucoseandlipidmetabolism
AT wuzijian analysisofintestinalmicrobialcommunitiesofcerebralinfarctionandischemiapatientsbasedonhighthroughputsequencingtechnologyandglucoseandlipidmetabolism
AT yangping analysisofintestinalmicrobialcommunitiesofcerebralinfarctionandischemiapatientsbasedonhighthroughputsequencingtechnologyandglucoseandlipidmetabolism