Cargando…

The Potential of Gut Microbiota in Prediction of Stroke-Associated Pneumonia

Background: Stroke-associated pneumonia (SAP) is a common stroke complication, and the changes in the gut microbiota composition may play a role. Our study aimed to evaluate the predictive ability of gut microbiota for SAP. Methods: Acute ischemic stroke patients were prospectively enrolled and divi...

Descripción completa

Detalles Bibliográficos
Autores principales: Li, Zhongyuan, Gu, Mengmeng, Sun, Huanhuan, Chen, Xiangliang, Zhou, Junshan, Zhang, Yingdong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10452830/
https://www.ncbi.nlm.nih.gov/pubmed/37626573
http://dx.doi.org/10.3390/brainsci13081217
_version_ 1785095769154387968
author Li, Zhongyuan
Gu, Mengmeng
Sun, Huanhuan
Chen, Xiangliang
Zhou, Junshan
Zhang, Yingdong
author_facet Li, Zhongyuan
Gu, Mengmeng
Sun, Huanhuan
Chen, Xiangliang
Zhou, Junshan
Zhang, Yingdong
author_sort Li, Zhongyuan
collection PubMed
description Background: Stroke-associated pneumonia (SAP) is a common stroke complication, and the changes in the gut microbiota composition may play a role. Our study aimed to evaluate the predictive ability of gut microbiota for SAP. Methods: Acute ischemic stroke patients were prospectively enrolled and divided into two groups based on the presence or absence of SAP. The composition of gut microbiota was characterized by the 16S RNA Miseq sequencing. The gut microbiota that differed significantly between groups were incorporated into the conventional risk scores, the Acute Ischemic Stroke-Associated Pneumonia Score (AIS-APS), and the Age, Atrial fibrillation, Dysphagia, Sex, Stroke Severity Score (A2DS2). The predictive performances were assessed in terms of the area under the curve (AUC), the Net Reclassification Improvement (NRI), and the Integrated Discrimination Improvement (IDI) indices. Results: A total of 135 patients were enrolled, of whom 43 had SAP (31%). The short-chain fatty acids (SCFAs)-producing bacteria, such as Bacteroides, Fusicatenibacter, and Butyricicoccus, were decreased in the SAP group. The integrated models showed better predictive ability for SAP (AUC = 0.813, NRI = 0.333, p = 0.052, IDI = 0.038, p = 0.018, for AIS-APS; AUC = 0.816, NRI = 0.575, p < 0.001, IDI = 0.043, p = 0.007, for A2DS2) in comparison to the differential genera (AUC = 0.699) and each predictive score (AUC(AISAPS) = 0.777; AUC(A2DS2) = 0.777). Conclusions: The lower abundance of SCFAs-producing gut microbiota after acute ischemic stroke was associated with SAP and may play a role in SAP prediction.
format Online
Article
Text
id pubmed-10452830
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-104528302023-08-26 The Potential of Gut Microbiota in Prediction of Stroke-Associated Pneumonia Li, Zhongyuan Gu, Mengmeng Sun, Huanhuan Chen, Xiangliang Zhou, Junshan Zhang, Yingdong Brain Sci Article Background: Stroke-associated pneumonia (SAP) is a common stroke complication, and the changes in the gut microbiota composition may play a role. Our study aimed to evaluate the predictive ability of gut microbiota for SAP. Methods: Acute ischemic stroke patients were prospectively enrolled and divided into two groups based on the presence or absence of SAP. The composition of gut microbiota was characterized by the 16S RNA Miseq sequencing. The gut microbiota that differed significantly between groups were incorporated into the conventional risk scores, the Acute Ischemic Stroke-Associated Pneumonia Score (AIS-APS), and the Age, Atrial fibrillation, Dysphagia, Sex, Stroke Severity Score (A2DS2). The predictive performances were assessed in terms of the area under the curve (AUC), the Net Reclassification Improvement (NRI), and the Integrated Discrimination Improvement (IDI) indices. Results: A total of 135 patients were enrolled, of whom 43 had SAP (31%). The short-chain fatty acids (SCFAs)-producing bacteria, such as Bacteroides, Fusicatenibacter, and Butyricicoccus, were decreased in the SAP group. The integrated models showed better predictive ability for SAP (AUC = 0.813, NRI = 0.333, p = 0.052, IDI = 0.038, p = 0.018, for AIS-APS; AUC = 0.816, NRI = 0.575, p < 0.001, IDI = 0.043, p = 0.007, for A2DS2) in comparison to the differential genera (AUC = 0.699) and each predictive score (AUC(AISAPS) = 0.777; AUC(A2DS2) = 0.777). Conclusions: The lower abundance of SCFAs-producing gut microbiota after acute ischemic stroke was associated with SAP and may play a role in SAP prediction. MDPI 2023-08-17 /pmc/articles/PMC10452830/ /pubmed/37626573 http://dx.doi.org/10.3390/brainsci13081217 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/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 (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Li, Zhongyuan
Gu, Mengmeng
Sun, Huanhuan
Chen, Xiangliang
Zhou, Junshan
Zhang, Yingdong
The Potential of Gut Microbiota in Prediction of Stroke-Associated Pneumonia
title The Potential of Gut Microbiota in Prediction of Stroke-Associated Pneumonia
title_full The Potential of Gut Microbiota in Prediction of Stroke-Associated Pneumonia
title_fullStr The Potential of Gut Microbiota in Prediction of Stroke-Associated Pneumonia
title_full_unstemmed The Potential of Gut Microbiota in Prediction of Stroke-Associated Pneumonia
title_short The Potential of Gut Microbiota in Prediction of Stroke-Associated Pneumonia
title_sort potential of gut microbiota in prediction of stroke-associated pneumonia
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10452830/
https://www.ncbi.nlm.nih.gov/pubmed/37626573
http://dx.doi.org/10.3390/brainsci13081217
work_keys_str_mv AT lizhongyuan thepotentialofgutmicrobiotainpredictionofstrokeassociatedpneumonia
AT gumengmeng thepotentialofgutmicrobiotainpredictionofstrokeassociatedpneumonia
AT sunhuanhuan thepotentialofgutmicrobiotainpredictionofstrokeassociatedpneumonia
AT chenxiangliang thepotentialofgutmicrobiotainpredictionofstrokeassociatedpneumonia
AT zhoujunshan thepotentialofgutmicrobiotainpredictionofstrokeassociatedpneumonia
AT zhangyingdong thepotentialofgutmicrobiotainpredictionofstrokeassociatedpneumonia
AT lizhongyuan potentialofgutmicrobiotainpredictionofstrokeassociatedpneumonia
AT gumengmeng potentialofgutmicrobiotainpredictionofstrokeassociatedpneumonia
AT sunhuanhuan potentialofgutmicrobiotainpredictionofstrokeassociatedpneumonia
AT chenxiangliang potentialofgutmicrobiotainpredictionofstrokeassociatedpneumonia
AT zhoujunshan potentialofgutmicrobiotainpredictionofstrokeassociatedpneumonia
AT zhangyingdong potentialofgutmicrobiotainpredictionofstrokeassociatedpneumonia