Effect of the Interaction between Dietary Patterns and the Gastric Microbiome on the Risk of Gastric Cancer.

ABSTRACT: We aimed to observe the combined effects of Gaussian graphical model (GGM)-derived dietary patterns and the gastric microbiome on the risk of gastric cancer (GC) in a Korean population. The study included 268 patients with GC and 288 healthy controls. Food intake was assessed using a 106-item semiquantitative food frequency questionnaire. GGMs were applied to derive dietary pattern networks. 16S rRNA gene sequencing was performed using DNA extracted from gastric biopsy samples. The fruit pattern network was inversely associated with the risk of GC for the highest vs. lowest tertiles in the total population (odds ratio (OR): 0.47; 95% confidence interval (CI): 0.28-0.77; p for trend = 0.003) and in females (OR: 0.38; 95% CI: 0.17-0.83; p for trend = 0.021). Males who had a low microbial dys

SUBMITTER: Gunathilake M 

PROVIDER: S-EPMC8401549 | biostudies-literature | 2021 Aug

REPOSITORIES: biostudies-literature