Unknown

Dataset Information

Helicobacter pylori antibody and pepsinogen testing for predicting gastric microbiome abundance.


ABSTRACT:

Background

Although the high-throughput sequencing technique is useful for evaluating gastric microbiome, it is difficult to use clinically. We aimed to develop a predictive model for gastric microbiome based on serologic testing.

Methods

This study was designed to analyze sequencing data obtained from the Hanyang University Gastric Microbiome Cohort, which was established initially to investigate gastric microbial composition according to the intragastric environment. We evaluated the relationship between the relative abundance of potential gastric cancer-associated bacteria (nitrosating/nitrate-reducing bacteria or type IV secretion system [T4SS] protein gene-contributing bacteria) and serologic markers (IgG anti-Helicobacter pylori [HP] antibody or pepsinogen [PG] levels)

SUBMITTER: Choi S 

PROVIDER: S-EPMC6892531 | biostudies-literature | 2019

REPOSITORIES: biostudies-literature