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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...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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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 |
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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 |
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