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Oral Microbiome Characteristics in Patients With Autoimmune Hepatitis

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Title: Oral Microbiome Characteristics in Patients With Autoimmune Hepatitis
Authors: Benchen Rao, Jiamin Lou, Haifeng Lu, Hongxia Liang, Juan Li, Heqi Zhou, Yajuan Fan, Hua Zhang, Ying Sun, Yawen Zou, Zhongwen Wu, Yan Jiang, Zhigang Ren, Zujiang Yu
Source: Frontiers in Cellular and Infection Microbiology, Vol 11 (2021)
Publisher Information: Frontiers Media S.A., 2021.
Publication Year: 2021
Collection: LCC:Microbiology
Subject Terms: autoimmune hepatitis (AIH), healthy controls (HCs), oral microbiome, microbial markers, diagnostic value, Microbiology, QR1-502
More Details: Autoimmune hepatitis (AIH) is a common cause of liver cirrhosis. To identify the characteristics of the oral microbiome in patients with AIH, we collected 204 saliva samples including 68 AIH patients and 136 healthy controls and performed microbial MiSeq sequencing after screening. All samples were randomly divided into discovery cohorts (46 AIH and 92 HCs) and validation cohorts (22 AIH and 44 HCs). Moreover, we collected samples of 12 AIH patients from Hangzhou for cross-regional validation. We described the oral microbiome characteristics of AIH patients and established a diagnostic model. In the AIH group, the oral microbiome diversity was significantly increased. The microbial communities remarkably differed between the two groups. Seven genera, mainly Fusobacterium, Actinomyces and Capnocytophaga, were dominant in the HC group, while 51 genera, Streptococcus, Veillonella and Leptotrichia, were enriched in the AIH group. Notably, we found 23 gene functions, including Membrane Transport, Carbohydrate Metabolism, and Glycerolipid metabolism that were dominant in AIH and 31 gene functions that prevailed in HCs. We further investigated the correlation between the oral microbiome and clinical parameters. The optimal 5 microbial markers were figured out through a random forest model, and the distinguishing potential achieved 99.88% between 46 AIH and 92 HCs in the discovery cohort and 100% in the validation cohort. Importantly, the distinguishing potential reached 95.55% in the cross-regional validation cohort. In conclusion, this study is the first to characterize the oral microbiome in AIH patients and to report the successful establishment of a diagnostic model and the cross-regional validation of microbial markers for AIH. Importantly, oral microbiota-targeted biomarkers may be able to serve as powerful and noninvasive diagnostic tools for AIH.
Document Type: article
File Description: electronic resource
Language: English
ISSN: 2235-2988
Relation: https://www.frontiersin.org/articles/10.3389/fcimb.2021.656674/full; https://doaj.org/toc/2235-2988
DOI: 10.3389/fcimb.2021.656674
Access URL: https://doaj.org/article/f6ab59515def4575814f288c2218503f
Accession Number: edsdoj.f6ab59515def4575814f288c2218503f
Database: Directory of Open Access Journals
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  Data: Oral Microbiome Characteristics in Patients With Autoimmune Hepatitis
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  Data: <searchLink fieldCode="AR" term="%22Benchen+Rao%22">Benchen Rao</searchLink><br /><searchLink fieldCode="AR" term="%22Jiamin+Lou%22">Jiamin Lou</searchLink><br /><searchLink fieldCode="AR" term="%22Haifeng+Lu%22">Haifeng Lu</searchLink><br /><searchLink fieldCode="AR" term="%22Hongxia+Liang%22">Hongxia Liang</searchLink><br /><searchLink fieldCode="AR" term="%22Juan+Li%22">Juan Li</searchLink><br /><searchLink fieldCode="AR" term="%22Heqi+Zhou%22">Heqi Zhou</searchLink><br /><searchLink fieldCode="AR" term="%22Yajuan+Fan%22">Yajuan Fan</searchLink><br /><searchLink fieldCode="AR" term="%22Hua+Zhang%22">Hua Zhang</searchLink><br /><searchLink fieldCode="AR" term="%22Ying+Sun%22">Ying Sun</searchLink><br /><searchLink fieldCode="AR" term="%22Yawen+Zou%22">Yawen Zou</searchLink><br /><searchLink fieldCode="AR" term="%22Zhongwen+Wu%22">Zhongwen Wu</searchLink><br /><searchLink fieldCode="AR" term="%22Yan+Jiang%22">Yan Jiang</searchLink><br /><searchLink fieldCode="AR" term="%22Zhigang+Ren%22">Zhigang Ren</searchLink><br /><searchLink fieldCode="AR" term="%22Zujiang+Yu%22">Zujiang Yu</searchLink>
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  Data: Frontiers in Cellular and Infection Microbiology, Vol 11 (2021)
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  Data: Frontiers Media S.A., 2021.
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  Data: <searchLink fieldCode="DE" term="%22autoimmune+hepatitis+%28AIH%29%22">autoimmune hepatitis (AIH)</searchLink><br /><searchLink fieldCode="DE" term="%22healthy+controls+%28HCs%29%22">healthy controls (HCs)</searchLink><br /><searchLink fieldCode="DE" term="%22oral+microbiome%22">oral microbiome</searchLink><br /><searchLink fieldCode="DE" term="%22microbial+markers%22">microbial markers</searchLink><br /><searchLink fieldCode="DE" term="%22diagnostic+value%22">diagnostic value</searchLink><br /><searchLink fieldCode="DE" term="%22Microbiology%22">Microbiology</searchLink><br /><searchLink fieldCode="DE" term="%22QR1-502%22">QR1-502</searchLink>
– Name: Abstract
  Label: Description
  Group: Ab
  Data: Autoimmune hepatitis (AIH) is a common cause of liver cirrhosis. To identify the characteristics of the oral microbiome in patients with AIH, we collected 204 saliva samples including 68 AIH patients and 136 healthy controls and performed microbial MiSeq sequencing after screening. All samples were randomly divided into discovery cohorts (46 AIH and 92 HCs) and validation cohorts (22 AIH and 44 HCs). Moreover, we collected samples of 12 AIH patients from Hangzhou for cross-regional validation. We described the oral microbiome characteristics of AIH patients and established a diagnostic model. In the AIH group, the oral microbiome diversity was significantly increased. The microbial communities remarkably differed between the two groups. Seven genera, mainly Fusobacterium, Actinomyces and Capnocytophaga, were dominant in the HC group, while 51 genera, Streptococcus, Veillonella and Leptotrichia, were enriched in the AIH group. Notably, we found 23 gene functions, including Membrane Transport, Carbohydrate Metabolism, and Glycerolipid metabolism that were dominant in AIH and 31 gene functions that prevailed in HCs. We further investigated the correlation between the oral microbiome and clinical parameters. The optimal 5 microbial markers were figured out through a random forest model, and the distinguishing potential achieved 99.88% between 46 AIH and 92 HCs in the discovery cohort and 100% in the validation cohort. Importantly, the distinguishing potential reached 95.55% in the cross-regional validation cohort. In conclusion, this study is the first to characterize the oral microbiome in AIH patients and to report the successful establishment of a diagnostic model and the cross-regional validation of microbial markers for AIH. Importantly, oral microbiota-targeted biomarkers may be able to serve as powerful and noninvasive diagnostic tools for AIH.
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      – Text: English
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        Type: general
      – SubjectFull: healthy controls (HCs)
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      – SubjectFull: oral microbiome
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