Evidence Hub

Genomic insights into virulence, biofilm formation and antimicrobial resistance of multidrug-resistant Helicobacter pylori strains of novel sequence types isolated from Vietnamese patients with gastric diseases

Thuyết Thanh Bùi, T. Tran, S. Nguyen, Le Thi Thu Hang, Linh Cam Nguyen, N. Pham, A. Bañuls, Le Huu Song et al.

Journal of Global Antimicrobial Resistance, 2025

1 citation

Abstract

Helicobacter pylori (H. pylori) is a clinically important pathogen associated with gastric diseases. Here, we characterized the genome of multidrug-resistant H. pylori strains of novel sequence types, which were recovered from Vietnamese patients with gastritis or a stomach ulcer. Phenotypic-antibiotic susceptibility testing was performed against amoxicillin, clarithromycin, metronidazol, tetracycline, and levofloxacin using an E-test. The whole genome sequence of three H. pylori strains was de novo assembled, followed by in silico analysis of multilocus sequence typing (MLST), core-genome based phylogeny, genetic determinants associated with virulence, biofilm formation, and antibiotic-resistance. The genome sequence of H. pylori strains exhibited a high similarity with the average nucleotide identity (ANI) values of 98.5% to 99.2%, carried 5 to 7 pathogenicity islands, and 3 to 6 mobilomes. The MLST profile of strains revealed novel sequence types ST4511, ST4512, and ST4513. Core-genome based phylogeny exhibited that the three H. pylori strains belong to the Asian genotype. These strains possessed 128 to 131 virulence genes, including toxin-encoding genes cagA and vacA. Double amoxicillin-resistant mutations on pbp1 and pbp2, or a mutation on pbp3, triple clarithromycin-resistant mutations on 23S rRNA gene and a levofloxacin-resistant mutation on gyrA were detected in antibiotic-resistant strains. Mutations on rdxA were detected in both metronidazole-resistant and…

Read the paper

Related studies

Go deeper in Evidence Hub

Evidence Hub adds a study data sheet (design, sample size, evidence level, key numbers), an AI summary and a chat grounded in the paper's text.

Open this study Sign up free