Back to Search Start Over

Oral microbial community analysis of the patients in the progression of liver cancer.

Authors :
Li D
Xi W
Zhang Z
Ren L
Deng C
Chen J
Sun C
Zhang N
Xu J
Source :
Microbial pathogenesis [Microb Pathog] 2020 Dec; Vol. 149, pp. 104479. Date of Electronic Publication: 2020 Sep 11.
Publication Year :
2020

Abstract

Liver disease has been reported to associate with oral microbiota. This study aimed to identify the salivary microbial structure in liver disease patients and determine whether the disease progression influence the bacterial composition. 16S rDNA high-throughput sequencing and bioinformatic analysis were used to examine oral bacterial diversity in the different status of hepatitis patients including 6 patients with Hepatitis B (Y), 6 patients with Hepatitis B Cirrhosis (YY) and 6 patients with liver cancer (C), and 6 healthy controls (T). Phylogenetic analysis revealed that the genera of Streptococcus, Prevotella, Actinomyces, Veillonella and Neisseria are predominant genus in the saliva of Y, YY, C patients and T group. Lautropia, Abiotrophia and Veillonella were enriched in Y patients, while Treponema, Selenomonas and Oribacterium were also existed in YY patients. Haemophilus, Porphyromonas and Filifactor had high abundance in C patients. The genera of Moryella, Leptotrichia, Lactobacillus, Dialister, Serratia, Enterococcus and Actinobacillus were decreased in all patient samples compared with healthy control samples which may be used for treatment of liver disease. Diversity analyses showed decreased diversity of salivary bacterial communities was discovered in the progress of the liver disease. These findings identified the oral microbiota dysbiosis in liver disease, which may providing available information and possible diagnostic biomarkers for liver patients.<br /> (Copyright © 2020 Elsevier Ltd. All rights reserved.)

Details

Language :
English
ISSN :
1096-1208
Volume :
149
Database :
MEDLINE
Journal :
Microbial pathogenesis
Publication Type :
Academic Journal
Accession number :
32920149
Full Text :
https://doi.org/10.1016/j.micpath.2020.104479