Altered gut microbiota in the early stage of acute pancreatitis were related to the occurrence of acute respiratory distress syndrome

BackgroundAcute respiratory distress syndrome (ARDS) is the most common cause of organ failure in acute pancreatitis (AP) patients, which associated with high mortality. Specific changes in the gut microbiota have been shown to influence progression of acute pancreatitis. We aimed to determine wheth...

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Main Authors: Xiaomin Hu, Ziying Han, Ruilin Zhou, Wan Su, Liang Gong, Zihan Yang, Xiao Song, Shuyang Zhang, Huijun Shu, Dong Wu
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-03-01
Series:Frontiers in Cellular and Infection Microbiology
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fcimb.2023.1127369/full
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author Xiaomin Hu
Xiaomin Hu
Ziying Han
Ruilin Zhou
Wan Su
Liang Gong
Zihan Yang
Xiao Song
Shuyang Zhang
Huijun Shu
Dong Wu
author_facet Xiaomin Hu
Xiaomin Hu
Ziying Han
Ruilin Zhou
Wan Su
Liang Gong
Zihan Yang
Xiao Song
Shuyang Zhang
Huijun Shu
Dong Wu
author_sort Xiaomin Hu
collection DOAJ
description BackgroundAcute respiratory distress syndrome (ARDS) is the most common cause of organ failure in acute pancreatitis (AP) patients, which associated with high mortality. Specific changes in the gut microbiota have been shown to influence progression of acute pancreatitis. We aimed to determine whether early alterations in the gut microbiota is related to and could predict ARDS occurrence in AP patients.MethodsIn this study, we performed 16S rRNA sequencing analysis in 65 AP patients and 20 healthy volunteers. The AP patients were further divided into two groups: 26 AP-ARDS patients and 39 AP-nonARDS patients based on ARDS occurrence during hospitalization.ResultsOur results showed that the AP-ARDS patients exhibited specific changes in gut microbiota composition and function as compared to subjects of AP-nonARDS group. Higher abundances of Proteobacteria phylum, Enterobacteriaceae family, Escherichia-Shigella genus, and Klebsiella pneumoniae, but lower abundances of Bifidobacterium genus were found in AP-ARDS group compared with AP-nonARDS groups. Random forest modelling analysis revealed that the Escherichia-shigella genus was effective to distinguish AP-ARDS from AP-nonARDS, which could predict ARDS occurrence in AP patients.ConclusionsOur study revealed that alterations of gut microbiota in AP patients on admission were associated with ARDS occurrence after hospitalization, indicating a potential predictive and pathogenic role of gut microbiota in the development of ARDS in AP patients.
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spelling doaj.art-3ee993fa499a4141a598818d094c20cb2023-03-06T05:34:41ZengFrontiers Media S.A.Frontiers in Cellular and Infection Microbiology2235-29882023-03-011310.3389/fcimb.2023.11273691127369Altered gut microbiota in the early stage of acute pancreatitis were related to the occurrence of acute respiratory distress syndromeXiaomin Hu0Xiaomin Hu1Ziying Han2Ruilin Zhou3Wan Su4Liang Gong5Zihan Yang6Xiao Song7Shuyang Zhang8Huijun Shu9Dong Wu10Department of Medical Research Center, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, ChinaDepartment of Gastroenterology, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, ChinaDepartment of Gastroenterology, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, ChinaDepartment of Cardiology, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, ChinaDepartment of Endocrinology, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, ChinaDepartment of Gastroenterology, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, ChinaDepartment of Gastroenterology, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, ChinaDepartment of Emergency Medicine, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, ChinaDepartment of Cardiology, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, ChinaDepartment of Gastroenterology, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, ChinaDepartment of Gastroenterology, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, ChinaBackgroundAcute respiratory distress syndrome (ARDS) is the most common cause of organ failure in acute pancreatitis (AP) patients, which associated with high mortality. Specific changes in the gut microbiota have been shown to influence progression of acute pancreatitis. We aimed to determine whether early alterations in the gut microbiota is related to and could predict ARDS occurrence in AP patients.MethodsIn this study, we performed 16S rRNA sequencing analysis in 65 AP patients and 20 healthy volunteers. The AP patients were further divided into two groups: 26 AP-ARDS patients and 39 AP-nonARDS patients based on ARDS occurrence during hospitalization.ResultsOur results showed that the AP-ARDS patients exhibited specific changes in gut microbiota composition and function as compared to subjects of AP-nonARDS group. Higher abundances of Proteobacteria phylum, Enterobacteriaceae family, Escherichia-Shigella genus, and Klebsiella pneumoniae, but lower abundances of Bifidobacterium genus were found in AP-ARDS group compared with AP-nonARDS groups. Random forest modelling analysis revealed that the Escherichia-shigella genus was effective to distinguish AP-ARDS from AP-nonARDS, which could predict ARDS occurrence in AP patients.ConclusionsOur study revealed that alterations of gut microbiota in AP patients on admission were associated with ARDS occurrence after hospitalization, indicating a potential predictive and pathogenic role of gut microbiota in the development of ARDS in AP patients.https://www.frontiersin.org/articles/10.3389/fcimb.2023.1127369/fullacute pancreatitisacute respiratory distress syndromegut microbiotadisease predictionbiomarker
spellingShingle Xiaomin Hu
Xiaomin Hu
Ziying Han
Ruilin Zhou
Wan Su
Liang Gong
Zihan Yang
Xiao Song
Shuyang Zhang
Huijun Shu
Dong Wu
Altered gut microbiota in the early stage of acute pancreatitis were related to the occurrence of acute respiratory distress syndrome
Frontiers in Cellular and Infection Microbiology
acute pancreatitis
acute respiratory distress syndrome
gut microbiota
disease prediction
biomarker
title Altered gut microbiota in the early stage of acute pancreatitis were related to the occurrence of acute respiratory distress syndrome
title_full Altered gut microbiota in the early stage of acute pancreatitis were related to the occurrence of acute respiratory distress syndrome
title_fullStr Altered gut microbiota in the early stage of acute pancreatitis were related to the occurrence of acute respiratory distress syndrome
title_full_unstemmed Altered gut microbiota in the early stage of acute pancreatitis were related to the occurrence of acute respiratory distress syndrome
title_short Altered gut microbiota in the early stage of acute pancreatitis were related to the occurrence of acute respiratory distress syndrome
title_sort altered gut microbiota in the early stage of acute pancreatitis were related to the occurrence of acute respiratory distress syndrome
topic acute pancreatitis
acute respiratory distress syndrome
gut microbiota
disease prediction
biomarker
url https://www.frontiersin.org/articles/10.3389/fcimb.2023.1127369/full
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