Cargando…

Dysbiosis characteristics of gut microbiota in cerebral infarction patients

OBJECTIVE: The aim of this study is to investigate the dysbiosis characteristics of gut microbiota in patients with cerebral infarction (CI) and its clinical implications. METHODS: Stool samples were collected from 79 CI patients and 98 healthy controls and subjected to 16S rRNA sequencing to identi...

Descripción completa

Detalles Bibliográficos
Autores principales: Li, Hao, Zhang, Xiaohui, Pan, Dengdeng, Liu, Yongqiang, Yan, Xuebing, Tang, Yihan, Tao, Mingyang, Gong, Li, Zhang, Ting, Woods, Christian Rutan, Du, Yong, Gao, Renyuan, Qin, Huanlong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: De Gruyter 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7706127/
https://www.ncbi.nlm.nih.gov/pubmed/33312718
http://dx.doi.org/10.1515/tnsci-2020-0117
_version_ 1783617089043431424
author Li, Hao
Zhang, Xiaohui
Pan, Dengdeng
Liu, Yongqiang
Yan, Xuebing
Tang, Yihan
Tao, Mingyang
Gong, Li
Zhang, Ting
Woods, Christian Rutan
Du, Yong
Gao, Renyuan
Qin, Huanlong
author_facet Li, Hao
Zhang, Xiaohui
Pan, Dengdeng
Liu, Yongqiang
Yan, Xuebing
Tang, Yihan
Tao, Mingyang
Gong, Li
Zhang, Ting
Woods, Christian Rutan
Du, Yong
Gao, Renyuan
Qin, Huanlong
author_sort Li, Hao
collection PubMed
description OBJECTIVE: The aim of this study is to investigate the dysbiosis characteristics of gut microbiota in patients with cerebral infarction (CI) and its clinical implications. METHODS: Stool samples were collected from 79 CI patients and 98 healthy controls and subjected to 16S rRNA sequencing to identify stool microbes. Altered compositions and functions of gut microbiota in CI and its correlation with clinical features were investigated. Random forest and receiver operating characteristic analysis were used to develop a diagnostic model. RESULTS: Microbiota diversity and structure between CI patients and healthy controls were overall similar. However, butyrate-producing bacteria (BPB) were significantly reduced in CI patients, while lactic acid bacteria (LAB) were increased. Genetically, BPB-related functional genes were reduced in CI patients, whereas LAB-related genes were enhanced. The interbacterial correlations among BPB in CI patients were less prominent than those in healthy controls. Clinically, BPB was negatively associated with the National Institutes of Health Stroke Scale (NIHSS), while LAB was positively correlated with NIHSS. Both BPB and LAB played leading roles in the diagnostic model based on 47 bacteria. CONCLUSIONS: The abundance and functions of BPB in CI patients were significantly decreased, while LAB were increased. Both BPB and LAB displayed promising potential in the assessment and diagnosis of CI.
format Online
Article
Text
id pubmed-7706127
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher De Gruyter
record_format MEDLINE/PubMed
spelling pubmed-77061272020-12-10 Dysbiosis characteristics of gut microbiota in cerebral infarction patients Li, Hao Zhang, Xiaohui Pan, Dengdeng Liu, Yongqiang Yan, Xuebing Tang, Yihan Tao, Mingyang Gong, Li Zhang, Ting Woods, Christian Rutan Du, Yong Gao, Renyuan Qin, Huanlong Transl Neurosci Research Article OBJECTIVE: The aim of this study is to investigate the dysbiosis characteristics of gut microbiota in patients with cerebral infarction (CI) and its clinical implications. METHODS: Stool samples were collected from 79 CI patients and 98 healthy controls and subjected to 16S rRNA sequencing to identify stool microbes. Altered compositions and functions of gut microbiota in CI and its correlation with clinical features were investigated. Random forest and receiver operating characteristic analysis were used to develop a diagnostic model. RESULTS: Microbiota diversity and structure between CI patients and healthy controls were overall similar. However, butyrate-producing bacteria (BPB) were significantly reduced in CI patients, while lactic acid bacteria (LAB) were increased. Genetically, BPB-related functional genes were reduced in CI patients, whereas LAB-related genes were enhanced. The interbacterial correlations among BPB in CI patients were less prominent than those in healthy controls. Clinically, BPB was negatively associated with the National Institutes of Health Stroke Scale (NIHSS), while LAB was positively correlated with NIHSS. Both BPB and LAB played leading roles in the diagnostic model based on 47 bacteria. CONCLUSIONS: The abundance and functions of BPB in CI patients were significantly decreased, while LAB were increased. Both BPB and LAB displayed promising potential in the assessment and diagnosis of CI. De Gruyter 2020-06-08 /pmc/articles/PMC7706127/ /pubmed/33312718 http://dx.doi.org/10.1515/tnsci-2020-0117 Text en © 2020 Hao Li et al., published by De Gruyter http://creativecommons.org/licenses/by/4.0 This work is licensed under the Creative Commons Attribution 4.0 International License.
spellingShingle Research Article
Li, Hao
Zhang, Xiaohui
Pan, Dengdeng
Liu, Yongqiang
Yan, Xuebing
Tang, Yihan
Tao, Mingyang
Gong, Li
Zhang, Ting
Woods, Christian Rutan
Du, Yong
Gao, Renyuan
Qin, Huanlong
Dysbiosis characteristics of gut microbiota in cerebral infarction patients
title Dysbiosis characteristics of gut microbiota in cerebral infarction patients
title_full Dysbiosis characteristics of gut microbiota in cerebral infarction patients
title_fullStr Dysbiosis characteristics of gut microbiota in cerebral infarction patients
title_full_unstemmed Dysbiosis characteristics of gut microbiota in cerebral infarction patients
title_short Dysbiosis characteristics of gut microbiota in cerebral infarction patients
title_sort dysbiosis characteristics of gut microbiota in cerebral infarction patients
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7706127/
https://www.ncbi.nlm.nih.gov/pubmed/33312718
http://dx.doi.org/10.1515/tnsci-2020-0117
work_keys_str_mv AT lihao dysbiosischaracteristicsofgutmicrobiotaincerebralinfarctionpatients
AT zhangxiaohui dysbiosischaracteristicsofgutmicrobiotaincerebralinfarctionpatients
AT pandengdeng dysbiosischaracteristicsofgutmicrobiotaincerebralinfarctionpatients
AT liuyongqiang dysbiosischaracteristicsofgutmicrobiotaincerebralinfarctionpatients
AT yanxuebing dysbiosischaracteristicsofgutmicrobiotaincerebralinfarctionpatients
AT tangyihan dysbiosischaracteristicsofgutmicrobiotaincerebralinfarctionpatients
AT taomingyang dysbiosischaracteristicsofgutmicrobiotaincerebralinfarctionpatients
AT gongli dysbiosischaracteristicsofgutmicrobiotaincerebralinfarctionpatients
AT zhangting dysbiosischaracteristicsofgutmicrobiotaincerebralinfarctionpatients
AT woodschristianrutan dysbiosischaracteristicsofgutmicrobiotaincerebralinfarctionpatients
AT duyong dysbiosischaracteristicsofgutmicrobiotaincerebralinfarctionpatients
AT gaorenyuan dysbiosischaracteristicsofgutmicrobiotaincerebralinfarctionpatients
AT qinhuanlong dysbiosischaracteristicsofgutmicrobiotaincerebralinfarctionpatients