Cargando…
Gut microbiota signature as predictors of adverse outcomes after acute ischemic stroke in patients with hyperlipidemia
INTRODUCTION: The alterations of gut microbiota have been associated with multiple diseases. However, the relationship between gut microbiota and adverse outcomes of hyperlipidemic stroke patients remains unclear. Here we determined the gut microbial signature to predict the poor outcome of acute is...
Autores principales: | , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9729740/ https://www.ncbi.nlm.nih.gov/pubmed/36506018 http://dx.doi.org/10.3389/fcimb.2022.1073113 |
_version_ | 1784845534331142144 |
---|---|
author | Chen, Jiaxin Chi, Beibei Ma, Jiaying Zhang, Junmei Gu, Qilu Xie, Huijia Kong, Yu Yao, Shanshan Liu, Jiaming Sun, Jing Chen, Songfang |
author_facet | Chen, Jiaxin Chi, Beibei Ma, Jiaying Zhang, Junmei Gu, Qilu Xie, Huijia Kong, Yu Yao, Shanshan Liu, Jiaming Sun, Jing Chen, Songfang |
author_sort | Chen, Jiaxin |
collection | PubMed |
description | INTRODUCTION: The alterations of gut microbiota have been associated with multiple diseases. However, the relationship between gut microbiota and adverse outcomes of hyperlipidemic stroke patients remains unclear. Here we determined the gut microbial signature to predict the poor outcome of acute ischemic stroke (AIS) with hyperlipidemia (POAH). METHODS: Fecal samples from hyperlipidemic stroke patients were collected, which further analyzed by 16s rRNA gene sequencing. The diversity, community composition and differential gut microbiota were evaluated. The adverse outcomes were determined by modified Rankin Scale (mRS) scores at 3 months after admission. The diagnostic performance of microbial characteristics in predicting adverse outcomes was assessed by receiver operating characteristic (ROC) curves. RESULTS: Our results showed that the composition and structure of gut microbiota between POAH patients and good outcome of AIS with hyperlipidemia (GOAH) patients were different. The characteristic gut microbiota of POAH patients was that the relative abundance of Enterococcaceae and Enterococcus were increased, while the relative abundance of Lachnospiraceae, Faecalibacterium, Rothia and Butyricicoccus were decreased. Moreover, the characteristic gut microbiota were correlated with many clinical parameters, such as National Institutes of Health Stroke Scale (NIHSS) score, mean arterial pressure, and history of cerebrovascular disease. Moreover, the ROC models based on the characteristic microbiota or the combination of characteristic microbiota with independent risk factors could distinguish POAH patients and GOAH patients (area under curve is 0.694 and 0.971 respectively). CONCLUSIONS: These findings revealed the microbial characteristics of POAH, which highlighted the predictive capability of characteristic microbiota in POAH patients. |
format | Online Article Text |
id | pubmed-9729740 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-97297402022-12-09 Gut microbiota signature as predictors of adverse outcomes after acute ischemic stroke in patients with hyperlipidemia Chen, Jiaxin Chi, Beibei Ma, Jiaying Zhang, Junmei Gu, Qilu Xie, Huijia Kong, Yu Yao, Shanshan Liu, Jiaming Sun, Jing Chen, Songfang Front Cell Infect Microbiol Cellular and Infection Microbiology INTRODUCTION: The alterations of gut microbiota have been associated with multiple diseases. However, the relationship between gut microbiota and adverse outcomes of hyperlipidemic stroke patients remains unclear. Here we determined the gut microbial signature to predict the poor outcome of acute ischemic stroke (AIS) with hyperlipidemia (POAH). METHODS: Fecal samples from hyperlipidemic stroke patients were collected, which further analyzed by 16s rRNA gene sequencing. The diversity, community composition and differential gut microbiota were evaluated. The adverse outcomes were determined by modified Rankin Scale (mRS) scores at 3 months after admission. The diagnostic performance of microbial characteristics in predicting adverse outcomes was assessed by receiver operating characteristic (ROC) curves. RESULTS: Our results showed that the composition and structure of gut microbiota between POAH patients and good outcome of AIS with hyperlipidemia (GOAH) patients were different. The characteristic gut microbiota of POAH patients was that the relative abundance of Enterococcaceae and Enterococcus were increased, while the relative abundance of Lachnospiraceae, Faecalibacterium, Rothia and Butyricicoccus were decreased. Moreover, the characteristic gut microbiota were correlated with many clinical parameters, such as National Institutes of Health Stroke Scale (NIHSS) score, mean arterial pressure, and history of cerebrovascular disease. Moreover, the ROC models based on the characteristic microbiota or the combination of characteristic microbiota with independent risk factors could distinguish POAH patients and GOAH patients (area under curve is 0.694 and 0.971 respectively). CONCLUSIONS: These findings revealed the microbial characteristics of POAH, which highlighted the predictive capability of characteristic microbiota in POAH patients. Frontiers Media S.A. 2022-11-24 /pmc/articles/PMC9729740/ /pubmed/36506018 http://dx.doi.org/10.3389/fcimb.2022.1073113 Text en Copyright © 2022 Chen, Chi, Ma, Zhang, Gu, Xie, Kong, Yao, Liu, Sun and Chen https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Cellular and Infection Microbiology Chen, Jiaxin Chi, Beibei Ma, Jiaying Zhang, Junmei Gu, Qilu Xie, Huijia Kong, Yu Yao, Shanshan Liu, Jiaming Sun, Jing Chen, Songfang Gut microbiota signature as predictors of adverse outcomes after acute ischemic stroke in patients with hyperlipidemia |
title | Gut microbiota signature as predictors of adverse outcomes after acute ischemic stroke in patients with hyperlipidemia |
title_full | Gut microbiota signature as predictors of adverse outcomes after acute ischemic stroke in patients with hyperlipidemia |
title_fullStr | Gut microbiota signature as predictors of adverse outcomes after acute ischemic stroke in patients with hyperlipidemia |
title_full_unstemmed | Gut microbiota signature as predictors of adverse outcomes after acute ischemic stroke in patients with hyperlipidemia |
title_short | Gut microbiota signature as predictors of adverse outcomes after acute ischemic stroke in patients with hyperlipidemia |
title_sort | gut microbiota signature as predictors of adverse outcomes after acute ischemic stroke in patients with hyperlipidemia |
topic | Cellular and Infection Microbiology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9729740/ https://www.ncbi.nlm.nih.gov/pubmed/36506018 http://dx.doi.org/10.3389/fcimb.2022.1073113 |
work_keys_str_mv | AT chenjiaxin gutmicrobiotasignatureaspredictorsofadverseoutcomesafteracuteischemicstrokeinpatientswithhyperlipidemia AT chibeibei gutmicrobiotasignatureaspredictorsofadverseoutcomesafteracuteischemicstrokeinpatientswithhyperlipidemia AT majiaying gutmicrobiotasignatureaspredictorsofadverseoutcomesafteracuteischemicstrokeinpatientswithhyperlipidemia AT zhangjunmei gutmicrobiotasignatureaspredictorsofadverseoutcomesafteracuteischemicstrokeinpatientswithhyperlipidemia AT guqilu gutmicrobiotasignatureaspredictorsofadverseoutcomesafteracuteischemicstrokeinpatientswithhyperlipidemia AT xiehuijia gutmicrobiotasignatureaspredictorsofadverseoutcomesafteracuteischemicstrokeinpatientswithhyperlipidemia AT kongyu gutmicrobiotasignatureaspredictorsofadverseoutcomesafteracuteischemicstrokeinpatientswithhyperlipidemia AT yaoshanshan gutmicrobiotasignatureaspredictorsofadverseoutcomesafteracuteischemicstrokeinpatientswithhyperlipidemia AT liujiaming gutmicrobiotasignatureaspredictorsofadverseoutcomesafteracuteischemicstrokeinpatientswithhyperlipidemia AT sunjing gutmicrobiotasignatureaspredictorsofadverseoutcomesafteracuteischemicstrokeinpatientswithhyperlipidemia AT chensongfang gutmicrobiotasignatureaspredictorsofadverseoutcomesafteracuteischemicstrokeinpatientswithhyperlipidemia |