Salivary and fecal microbiota: potential new biomarkers for early screening of colorectal polyps

Limin Zhang; Ziying Feng; Yinghua Li; Cuiting Lv; Chunchun Li; Yue Hu; Mingsheng Fu; Liang Song

doi:10.3389/fmicb.2023.1182346

Salivary and fecal microbiota: potential new biomarkers for early screening of colorectal polyps

Front Microbiol. 2023 Aug 16:14:1182346. doi: 10.3389/fmicb.2023.1182346. eCollection 2023.

Authors

Limin Zhang¹, Ziying Feng¹, Yinghua Li², Cuiting Lv², Chunchun Li¹, Yue Hu¹, Mingsheng Fu³, Liang Song¹

Affiliations

¹ Department of Stomatology, Shanghai Fifth People's Hospital, Fudan University, Shanghai, China.
² Central Laboratory, Shanghai Fifth People's Hospital, Fudan University, Shanghai, China.
³ Department of Gastroenterology, Shanghai Fifth People's Hospital, Fudan University, Shanghai, China.

Abstract

Objective: Gut microbiota plays an important role in colorectal cancer (CRC) pathogenesis through microbes and their metabolites, while oral pathogens are the major components of CRC-associated microbes. Multiple studies have identified gut and fecal microbiome-derived biomarkers for precursors lesions of CRC detection. However, few studies have used salivary samples to predict colorectal polyps. Therefore, in order to find new noninvasive colorectal polyp biomarkers, we searched into the differences in fecal and salivary microbiota between patients with colorectal polyps and healthy controls.

Methods: In this case-control study, we collected salivary and fecal samples from 33 patients with colorectal polyps (CP) and 22 healthy controls (HC) between May 2021 and November 2022. All samples were sequenced using full-length 16S rRNA sequencing and compared with the Nucleotide Sequence Database. The salivary and fecal microbiota signature of colorectal polyps was established by alpha and beta diversity, Linear discriminant analysis Effect Size (LEfSe) and random forest model analysis. In addition, the possibility of microbiota in identifying colorectal polyps was assessed by Receiver Operating Characteristic Curve (ROC).

Results: In comparison to the HC group, the CP group's microbial diversity increased in saliva and decreased in feces (p < 0.05), but there was no significantly difference in microbiota richness (p > 0.05). The principal coordinate analysis revealed significant differences in β-diversity of salivary and fecal microbiota between the CP and HC groups. Moreover, LEfSe analysis at the species level identified Porphyromonas gingivalis, Fusobacterium nucleatum, Leptotrichia wadei, Prevotella intermedia, and Megasphaera micronuciformis as the major contributors to the salivary microbiota, and Ruminococcus gnavus, Bacteroides ovatus, Parabacteroides distasonis, Citrobacter freundii, and Clostridium symbiosum to the fecal microbiota of patients with polyps. Salivary and fecal bacterial biomarkers showed Area Under ROC Curve of 0.8167 and 0.8051, respectively, which determined the potential of diagnostic markers in distinguishing patients with colorectal polyps from controls, and it increased to 0.8217 when salivary and fecal biomarkers were combined.

Conclusion: The composition and diversity of the salivary and fecal microbiota were significantly different in colorectal polyp patients compared to healthy controls, with an increased abundance of harmful bacteria and a decreased abundance of beneficial bacteria. A promising non-invasive tool for the detection of colorectal polyps can be provided by potential biomarkers based on the microbiota of the saliva and feces.

Keywords: biomarker; colorectal polyp; fecal microbiota; full-length 16S rRNA sequencing; salivary microbiota.