Cargando…
Landscapes of gut microbiome and bile acid signatures and their interaction in HBV-associated acute-on-chronic liver failure
INTRODUCTION: Submassive hepatic necrosis (SMHN, defined as necrosis of 15–90% of the entire liver on explant) is a likely characteristic pathological feature of ACLF in patients with hepatitis B cirrhosis. We aimed to comprehensively explore microbiome and bile acids patterns across enterhepatic ci...
Autores principales: | , , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10233926/ https://www.ncbi.nlm.nih.gov/pubmed/37275140 http://dx.doi.org/10.3389/fmicb.2023.1185993 |
_version_ | 1785052369422123008 |
---|---|
author | Bao, Zhiwei Wei, Runan Zheng, Xiaoping Zhang, Ting Bi, Yunjiao Shen, Sijia Zou, Pengfei Zhang, Junjie Yan, Huadong Li, Ming D. Yang, Zhongli Gao, Hainv |
author_facet | Bao, Zhiwei Wei, Runan Zheng, Xiaoping Zhang, Ting Bi, Yunjiao Shen, Sijia Zou, Pengfei Zhang, Junjie Yan, Huadong Li, Ming D. Yang, Zhongli Gao, Hainv |
author_sort | Bao, Zhiwei |
collection | PubMed |
description | INTRODUCTION: Submassive hepatic necrosis (SMHN, defined as necrosis of 15–90% of the entire liver on explant) is a likely characteristic pathological feature of ACLF in patients with hepatitis B cirrhosis. We aimed to comprehensively explore microbiome and bile acids patterns across enterhepatic circulation and build well-performing machine learning models to predict SMHN status. METHODS: Based on the presence or absence of SMHN, 17 patients with HBV-related end-stage liver disease who received liver transplantation were eligible for inclusion. Serum, portal venous blood, and stool samples were collected for comparing differences of BA spectra and gut microbiome and their interactions. We adopted the random forest algorithm with recursive feature elimination (RF-RFE) to predict SMHN status. RESULTS: By comparing total BA spectrum between SMHN (−) and SMHN (+) patients, significant changes were detected only in fecal (P = 0.015). Compared with the SMHN (+) group, the SMHN (−) group showed that UDCA, 7-KLCA, 3-DHCA, 7-KDCA, ISOLCA and α-MCA in feces, r-MCA, 7-KLCA and 7-KDCA in serum, γ-MCA and 7-KLCA in portal vein were enriched, and TUDCA in feces was depleted. PCoA analysis showed significantly distinct overall microbial composition in two groups (P = 0.026). Co-abundance analysis showed that bacterial species formed strong and broad relationships with BAs. Among them, Parabacteroides distasonis had the highest node degree. We further identified a combinatorial marker panel with a high AUC of 0.92. DISCUSSION: Our study demonstrated the changes and interactions of intestinal microbiome and BAs during enterohepatic circulation in ACLF patients with SMHN. In addition, we identified a combinatorial marker panel as non-invasive biomarkers to distinguish the SMHN status with high AUC. |
format | Online Article Text |
id | pubmed-10233926 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-102339262023-06-02 Landscapes of gut microbiome and bile acid signatures and their interaction in HBV-associated acute-on-chronic liver failure Bao, Zhiwei Wei, Runan Zheng, Xiaoping Zhang, Ting Bi, Yunjiao Shen, Sijia Zou, Pengfei Zhang, Junjie Yan, Huadong Li, Ming D. Yang, Zhongli Gao, Hainv Front Microbiol Microbiology INTRODUCTION: Submassive hepatic necrosis (SMHN, defined as necrosis of 15–90% of the entire liver on explant) is a likely characteristic pathological feature of ACLF in patients with hepatitis B cirrhosis. We aimed to comprehensively explore microbiome and bile acids patterns across enterhepatic circulation and build well-performing machine learning models to predict SMHN status. METHODS: Based on the presence or absence of SMHN, 17 patients with HBV-related end-stage liver disease who received liver transplantation were eligible for inclusion. Serum, portal venous blood, and stool samples were collected for comparing differences of BA spectra and gut microbiome and their interactions. We adopted the random forest algorithm with recursive feature elimination (RF-RFE) to predict SMHN status. RESULTS: By comparing total BA spectrum between SMHN (−) and SMHN (+) patients, significant changes were detected only in fecal (P = 0.015). Compared with the SMHN (+) group, the SMHN (−) group showed that UDCA, 7-KLCA, 3-DHCA, 7-KDCA, ISOLCA and α-MCA in feces, r-MCA, 7-KLCA and 7-KDCA in serum, γ-MCA and 7-KLCA in portal vein were enriched, and TUDCA in feces was depleted. PCoA analysis showed significantly distinct overall microbial composition in two groups (P = 0.026). Co-abundance analysis showed that bacterial species formed strong and broad relationships with BAs. Among them, Parabacteroides distasonis had the highest node degree. We further identified a combinatorial marker panel with a high AUC of 0.92. DISCUSSION: Our study demonstrated the changes and interactions of intestinal microbiome and BAs during enterohepatic circulation in ACLF patients with SMHN. In addition, we identified a combinatorial marker panel as non-invasive biomarkers to distinguish the SMHN status with high AUC. Frontiers Media S.A. 2023-05-18 /pmc/articles/PMC10233926/ /pubmed/37275140 http://dx.doi.org/10.3389/fmicb.2023.1185993 Text en Copyright © 2023 Bao, Wei, Zheng, Zhang, Bi, Shen, Zou, Zhang, Yan, Li, Yang and Gao. 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 Bao, Zhiwei Wei, Runan Zheng, Xiaoping Zhang, Ting Bi, Yunjiao Shen, Sijia Zou, Pengfei Zhang, Junjie Yan, Huadong Li, Ming D. Yang, Zhongli Gao, Hainv Landscapes of gut microbiome and bile acid signatures and their interaction in HBV-associated acute-on-chronic liver failure |
title | Landscapes of gut microbiome and bile acid signatures and their interaction in HBV-associated acute-on-chronic liver failure |
title_full | Landscapes of gut microbiome and bile acid signatures and their interaction in HBV-associated acute-on-chronic liver failure |
title_fullStr | Landscapes of gut microbiome and bile acid signatures and their interaction in HBV-associated acute-on-chronic liver failure |
title_full_unstemmed | Landscapes of gut microbiome and bile acid signatures and their interaction in HBV-associated acute-on-chronic liver failure |
title_short | Landscapes of gut microbiome and bile acid signatures and their interaction in HBV-associated acute-on-chronic liver failure |
title_sort | landscapes of gut microbiome and bile acid signatures and their interaction in hbv-associated acute-on-chronic liver failure |
topic | Microbiology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10233926/ https://www.ncbi.nlm.nih.gov/pubmed/37275140 http://dx.doi.org/10.3389/fmicb.2023.1185993 |
work_keys_str_mv | AT baozhiwei landscapesofgutmicrobiomeandbileacidsignaturesandtheirinteractioninhbvassociatedacuteonchronicliverfailure AT weirunan landscapesofgutmicrobiomeandbileacidsignaturesandtheirinteractioninhbvassociatedacuteonchronicliverfailure AT zhengxiaoping landscapesofgutmicrobiomeandbileacidsignaturesandtheirinteractioninhbvassociatedacuteonchronicliverfailure AT zhangting landscapesofgutmicrobiomeandbileacidsignaturesandtheirinteractioninhbvassociatedacuteonchronicliverfailure AT biyunjiao landscapesofgutmicrobiomeandbileacidsignaturesandtheirinteractioninhbvassociatedacuteonchronicliverfailure AT shensijia landscapesofgutmicrobiomeandbileacidsignaturesandtheirinteractioninhbvassociatedacuteonchronicliverfailure AT zoupengfei landscapesofgutmicrobiomeandbileacidsignaturesandtheirinteractioninhbvassociatedacuteonchronicliverfailure AT zhangjunjie landscapesofgutmicrobiomeandbileacidsignaturesandtheirinteractioninhbvassociatedacuteonchronicliverfailure AT yanhuadong landscapesofgutmicrobiomeandbileacidsignaturesandtheirinteractioninhbvassociatedacuteonchronicliverfailure AT limingd landscapesofgutmicrobiomeandbileacidsignaturesandtheirinteractioninhbvassociatedacuteonchronicliverfailure AT yangzhongli landscapesofgutmicrobiomeandbileacidsignaturesandtheirinteractioninhbvassociatedacuteonchronicliverfailure AT gaohainv landscapesofgutmicrobiomeandbileacidsignaturesandtheirinteractioninhbvassociatedacuteonchronicliverfailure |