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Identification and characterization of pancreatic infections in severe and critical acute pancreatitis patients using 16S rRNA gene next generation sequencing

OBJECTIVES: This study aimed to identify the bacterial composition in the pancreatic fluid of severe and critical acute pancreatitis (SAP and CAP) patients. METHODS: A total of 78 pancreatic fluid samples were collected from 56 SAP and CAP patients and analyze using aerobic culture and 16S rRNA gene...

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Autores principales: Sun, Ning, Chen, Yong, Zhang, Jiaxun, Cao, Jin, Huang, Hongjuan, Wang, Jie, Guo, Wentao, Li, Xiaojun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10303115/
https://www.ncbi.nlm.nih.gov/pubmed/37389346
http://dx.doi.org/10.3389/fmicb.2023.1185216
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author Sun, Ning
Chen, Yong
Zhang, Jiaxun
Cao, Jin
Huang, Hongjuan
Wang, Jie
Guo, Wentao
Li, Xiaojun
author_facet Sun, Ning
Chen, Yong
Zhang, Jiaxun
Cao, Jin
Huang, Hongjuan
Wang, Jie
Guo, Wentao
Li, Xiaojun
author_sort Sun, Ning
collection PubMed
description OBJECTIVES: This study aimed to identify the bacterial composition in the pancreatic fluid of severe and critical acute pancreatitis (SAP and CAP) patients. METHODS: A total of 78 pancreatic fluid samples were collected from 56 SAP and CAP patients and analyze using aerobic culture and 16S rRNA gene next-generation sequencing. The clinical data of the patients were obtained from the electronic medical records. RESULTS: Among the total 78 samples, 16S rRNA gene NGS identified a total of 660 bacterial taxa, belonging to 216 species in 123 genera. The dominant aerobic bacteria included Klebsiella pneumoniae, Acinetobacter baumannii, and Enterococcus faecium, while the dominant anaerobic bacteria included Bacteroides, Dialister invisus, and Olsenella uli. As compared to aerobic culturing, 95.96% (95/99) of the aerobic cultured bacteria were detected using the 16S rRNA gene NGS. CONCLUSION: The pancreatic infections in SAP and CAP patients might originate not only from the gut but also from the oral cavity and airways as well as related environments. Dynamic analysis of bacterial profile and abundance showed that some bacteria with low abundance might become the main pathogenic bacteria. There were no significant differences in the bacterial diversity between SAP and CAP.
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spelling pubmed-103031152023-06-29 Identification and characterization of pancreatic infections in severe and critical acute pancreatitis patients using 16S rRNA gene next generation sequencing Sun, Ning Chen, Yong Zhang, Jiaxun Cao, Jin Huang, Hongjuan Wang, Jie Guo, Wentao Li, Xiaojun Front Microbiol Microbiology OBJECTIVES: This study aimed to identify the bacterial composition in the pancreatic fluid of severe and critical acute pancreatitis (SAP and CAP) patients. METHODS: A total of 78 pancreatic fluid samples were collected from 56 SAP and CAP patients and analyze using aerobic culture and 16S rRNA gene next-generation sequencing. The clinical data of the patients were obtained from the electronic medical records. RESULTS: Among the total 78 samples, 16S rRNA gene NGS identified a total of 660 bacterial taxa, belonging to 216 species in 123 genera. The dominant aerobic bacteria included Klebsiella pneumoniae, Acinetobacter baumannii, and Enterococcus faecium, while the dominant anaerobic bacteria included Bacteroides, Dialister invisus, and Olsenella uli. As compared to aerobic culturing, 95.96% (95/99) of the aerobic cultured bacteria were detected using the 16S rRNA gene NGS. CONCLUSION: The pancreatic infections in SAP and CAP patients might originate not only from the gut but also from the oral cavity and airways as well as related environments. Dynamic analysis of bacterial profile and abundance showed that some bacteria with low abundance might become the main pathogenic bacteria. There were no significant differences in the bacterial diversity between SAP and CAP. Frontiers Media S.A. 2023-06-14 /pmc/articles/PMC10303115/ /pubmed/37389346 http://dx.doi.org/10.3389/fmicb.2023.1185216 Text en Copyright © 2023 Sun, Chen, Zhang, Cao, Huang, Wang, Guo and Li. 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 Microbiology
Sun, Ning
Chen, Yong
Zhang, Jiaxun
Cao, Jin
Huang, Hongjuan
Wang, Jie
Guo, Wentao
Li, Xiaojun
Identification and characterization of pancreatic infections in severe and critical acute pancreatitis patients using 16S rRNA gene next generation sequencing
title Identification and characterization of pancreatic infections in severe and critical acute pancreatitis patients using 16S rRNA gene next generation sequencing
title_full Identification and characterization of pancreatic infections in severe and critical acute pancreatitis patients using 16S rRNA gene next generation sequencing
title_fullStr Identification and characterization of pancreatic infections in severe and critical acute pancreatitis patients using 16S rRNA gene next generation sequencing
title_full_unstemmed Identification and characterization of pancreatic infections in severe and critical acute pancreatitis patients using 16S rRNA gene next generation sequencing
title_short Identification and characterization of pancreatic infections in severe and critical acute pancreatitis patients using 16S rRNA gene next generation sequencing
title_sort identification and characterization of pancreatic infections in severe and critical acute pancreatitis patients using 16s rrna gene next generation sequencing
topic Microbiology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10303115/
https://www.ncbi.nlm.nih.gov/pubmed/37389346
http://dx.doi.org/10.3389/fmicb.2023.1185216
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