Genomic determinants of antibiotic resistance for Helicobacter pylori treatment: a retrospective phenotypic and genotypic observational study.

Francisco José Martínez-Martínez, Álvaro Chiner-Oms, Victoria Furió, Yoshio Yamaoka, John P Dekker, Francis Mégraud, Lucie Bénéjat, Astrid Ducournau, Alban Giese, Quentin Jehanne, Marine Jauvain, M Constanza Camargo, Iñaki Comas, Philippe Lehours

Journal: The Lancet. Microbe 2026

PMID: 41453373

Abstract

BACKGROUND

Rising antimicrobial resistance of Helicobacter pylori is a public health challenge. Genomic-based susceptibility testing allows for the identification of resistance-associated mutations, complementing conventional diagnostics and advancing towards pathogen-based personalised therapies. Our study aimed to identify genes and mutations involved in antimicrobial resistance in H pylori and evaluate the extent to which these markers can be used as predictors of phenotypic resistance against clarithromycin and levofloxacin.

METHODS

In this retrospective phenotypic and genotypic observational study, we included 1011 H pylori whole-genome sequences and strains of known geographical origin from the H pylori Genome Project (HpGP) collection. We performed phenotypic clarithromycin and levofloxacin susceptibility testing on a subset of 419 HpGP strains using Etest at a centralised laboratory. A genomic analysis was conducted to identify 23S rRNA and gyrA variants and build a curated catalogue of mutations associated with resistance to clarithromycin (ie, 23S rRNA 2142A→G, 2142A→C, and 2143A→G) and levofloxacin (ie, gyrA A88V or A88P, N87K or N87I, and D91G, D91N, or D91Y). Genotype-phenotype concordance was assessed to estimate sensitivity and specificity, and the curated catalogue of resistance-associated mutations was applied to the complete HpGP set. Region-specific prevalence of resistance-associated mutations was calculated for a combined dataset including the HpGP genomes and 768 whole-genome sequences retrieved from the US National Center for Biotechnology Information Sequence Read Archive repository. Associations between resistance genotypes, H pylori subpopulations, and minimum inhibitory concentrations (MICs) were tested.

FINDINGS

Clarithromycin-resistant and levofloxacin-resistant HpGP strains were estimated with a sensitivity and specificity of 100%, with all confidence intervals ranging from 96% to 100%. The combined analysis (n=1779) found the highest prevalence of clarithromycin resistance in the western Pacific region (173 [51·2%] of 338 in southeast Asia and 75 [29·8%] of 252 in eastern Asia), north African region (seven [38·9%] of 18), and western Asian region (12 [31·6%] of 38), whereas the highest prevalence of levofloxacin resistance was found in south Asia (14 [51·85%] of 27), Central America (48 [38·7%] of 124), eastern Europe (four [36·4%] of 11), and southern Africa (three [33·3%] of nine). Similarly, 23S rRNA and gyrA genotypes are variable across H pylori subpopulations. MIC values changed depending on the specific mutation in 23S rRNA (mean clarithromycin MIC 24·61 mg/L [95% CI 12·27-36·96] for 2143A→G and 142·25 mg/L [95% CI 77·88-206·61] for 2142A→G) and gyrA (mean levofloxacin MIC 9·66 mg/L [95% CI 6·75-12·56] for mutations on codon 91, and 27·97 mg/L [95% CI 25·82-30·11] for mutations on codon 87).

INTERPRETATION

Mutations in specific genes are reliable indicators to clarithromycin and levofloxacin resistance in H pylori, making them useful markers for the development of diagnostic assays and molecular monitoring. Our results suggest that using clarithromycin and levofloxacin empirically, without previous susceptibility testing, is unsuitable in all geographical regions covered by this study.

FUNDING

Intramural Research Program of the US National Cancer Institute, the European Research Council, and the Spanish Ministry of Science and Innovation.

Copyright © 2025 The Author(s). Published by Elsevier Ltd.. All rights reserved.

Address: Tuberculosis Genomics Unit, Instituto de Biomedicina de Valencia (IBV), CSIC, Valencia, Spain.; Genomics of (Re)Emerging Pathogens, Genomics and Health Area, FISABIO - Public Health, Valencia, Spain; Joint Research Unit of Infection and Public Health, FISABIO-University of Valencia, Institute for Integrative Systems Biology (I2SysBio), Valencia, Spain; CIBER de Epidemiología y Salud Pública, CIBERESP, Madrid, Spain.; Department of Environmental and Preventive Medicine, Oita University Faculty of Medicine, Oita, Japan; Research Center for Global and Local Infectious Diseases, Oita University, Oita, Japan; Department of Medicine, Gastroenterology and Hepatology Section, Baylor College of Medicine, Houston, TX, USA.; Bacterial Pathogenesis and Antimicrobial Resistance Section, Laboratory of Clinical Immunology and Microbiology, Division of Intramural Research, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, USA.; INSERM, UMR1312 Bordeaux Institute of Oncology, University of Bordeaux, Bordeaux, France.; Department of Medicine, Gastroenterology and Hepatology Section, Baylor College of Medicine, Houston, TX, USA.; National Reference Center for Campylobacters & Helicobacters, Bordeaux Hospital University Center, Bordeaux, France.; INSERM, UMR1312 Bordeaux Institute of Oncology, University of Bordeaux, Bordeaux, France; National Reference Center for Campylobacters & Helicobacters, Bordeaux Hospital University Center, Bordeaux, France.; Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD, USA.; Tuberculosis Genomics Unit, Instituto de Biomedicina de Valencia (IBV), CSIC, Valencia, Spain; CIBER de Epidemiología y Salud Pública, CIBERESP, Madrid, Spain. Electronic address: [email protected].
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