Microbial biomarkers of common tongue coatings in patients with gastric cancer

Microb Pathog. 2019 Feb:127:97-105. doi: 10.1016/j.micpath.2018.11.051. Epub 2018 Nov 30.

Abstract

Purpose: The study aims to explore the characteristic microorganisms of the common tongue coatings in patients with gastric cancer (GC).

Methods: A total of 115 GC patients were assigned to four groups: White-thin coating (W-thin) group, White-thick coating (W-thick) group, Yellow-thin coating (Y-thin) group and Yellow-thick coating (Y-thick) group. Thirty-five healthy volunteers with White-thin coating were recruit as controls. High-throughput sequencing was used to describe the microbial community of the tongue coatings based on 16S rRNA and 18S rRNA genes. Multi-factors statistical analysis was carried out to present the microbial biomarkers of the tongue coating in GC patients.

Results: At bacterial phylum level, Saccharibacteria had higher relative abundance in W-thick group than W-thin group, Proteobacteria was more abundant in W-thin group than Y-thick group and less abundant in Y-thick group than Y-thin group. At fungal genus level, Guehomyces and Aspergillus presented to be significantly different among the common tongue coatings. Forteen significantly increased taxa were sorted out as the microbial biomarkers of common tongue coatings by LEfSe and ROC analysis. At species level, bacterial Capnocytophaga leadbetteri and fungal Ampelomyces_sp_IRAN_1 may be the potential biomarkers of W-thin coating, four bacterial species (Megasphaera micronuciformis, Selenomonas sputigena ATCC 35185, Acinetobacter ursingii, Prevotella maculosa) may be the potential biomarkers of W-thick coating. In general, the white coatings held more complex commensal relationship than the yellow coatings.

Conclusion: The common tongue coating owned characteristic microorganisms and special commensal relationship in the GC patients.

Keywords: Gastric cancer; Microbiome; Tongue coating.

MeSH terms

  • Aged
  • Bacteria / classification*
  • Bacteria / genetics
  • Cluster Analysis
  • DNA, Bacterial / chemistry
  • DNA, Bacterial / genetics
  • DNA, Fungal / chemistry
  • DNA, Fungal / genetics
  • DNA, Ribosomal / chemistry
  • DNA, Ribosomal / genetics
  • Female
  • Fungi / classification*
  • Fungi / genetics
  • Humans
  • Male
  • Microbiota*
  • Middle Aged
  • Phylogeny
  • RNA, Ribosomal, 16S / genetics
  • RNA, Ribosomal, 18S / genetics
  • ROC Curve
  • Sequence Analysis, DNA
  • Stomach Neoplasms / microbiology*
  • Stomach Neoplasms / pathology*
  • Tongue / microbiology*

Substances

  • DNA, Bacterial
  • DNA, Fungal
  • DNA, Ribosomal
  • RNA, Ribosomal, 16S
  • RNA, Ribosomal, 18S