Literature DB >> 33665172

Dysbiosis of the Saliva Microbiome in Patients With Polycystic Ovary Syndrome.

Na Li1, Yangyang Li1, Chen Qian1, Qing Liu1, Wei Cao1, Mo Ma1, Rongbo He1, Rourou Chen1, Rong Geng1, Yu Liu1.   

Abstract

Significant differences in salivary microbiota communities between polycystic ovary syndrome (PCOS) patients and healthy controls have been reported, and interestingly, some salivary microbiota exhibit diurnal oscillation in healthy people. However, whether the diurnal oscillation of salivary microbiota is present in PCOS patients is unknown. In this study, we describe the differences in the saliva microbiome between the PCOS group and the control group at different time points over 24 h. 16S rRNA gene amplicon sequencing was performed on salivary and fecal samples from 10 PCOS patients and 10 healthy controls, and salivary samples were collected at 6-h intervals over 24 h (Zeitgeber (ZT)0, ZT6, ZT12, and ZT18). Among the salivary samples, those from the PCOS group showed significant differences from those of the control group at each time point. Differences were evident in taxa level and metabolic pathways. Interestingly, we found that PCOS disrupted the diurnal rhythm of the salivary microbiota abundance, as determined in the group of healthy women. In addition, no similar changes were found in PCOS patients and controls between the oral and fecal microbiota, including differential microbiota at the phylum level. In this study, significant differences in the composition of the salivary microbiota between PCOS and healthy women were detected at different time points. We also showed that the diurnal rhythm of relative abundance of the salivary microbiota was disrupted in patients with PCOS, which might be related to development of oral-related diseases and systematic metabolic disorders.
Copyright © 2021 Li, Li, Qian, Liu, Cao, Ma, He, Chen, Geng and Liu.

Entities:  

Keywords:  16S rRNA; diurnal rhythm; fecal microbiota; polycystic ovary syndrome; salivary microbiome

Year:  2021        PMID: 33665172      PMCID: PMC7921782          DOI: 10.3389/fcimb.2020.624504

Source DB:  PubMed          Journal:  Front Cell Infect Microbiol        ISSN: 2235-2988            Impact factor:   5.293


  54 in total

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