Next-Generation Sequencing of the Whole Bacterial Genome for Tracking Molecular Insight into the Broad-Spectrum Antimicrobial Resistance of <i>Helicobacter pylori</i> Clinical Isolates from the Democratic Republic of Congo

Antimicrobial susceptibility testing (AST) is increasingly needed to guide the <i>Helicobacter pylori</i> (<i>H. pylori</i>) treatment but remains laborious and unavailable in most African countries. To assess the clinical relevance of bacterial whole genome sequencing (WGS)-...

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Main Authors: Evariste Tshibangu-Kabamba, Patrick de Jesus Ngoma-Kisoko, Vo Phuoc Tuan, Takashi Matsumoto, Junko Akada, Yasutoshi Kido, Antoine Tshimpi-Wola, Pascal Tshiamala-Kashala, Steve Ahuka-Mundeke, Dieudonné Mumba Ngoy, Ghislain Disashi-Tumba, Yoshio Yamaoka
Format: Article
Language:English
Published: MDPI AG 2020-06-01
Series:Microorganisms
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Online Access:https://www.mdpi.com/2076-2607/8/6/887
Description
Summary:Antimicrobial susceptibility testing (AST) is increasingly needed to guide the <i>Helicobacter pylori</i> (<i>H. pylori</i>) treatment but remains laborious and unavailable in most African countries. To assess the clinical relevance of bacterial whole genome sequencing (WGS)-based methods for predicting drug susceptibility in African <i>H. pylori</i>, 102 strains isolated from the Democratic Republic of Congo were subjected to the phenotypic AST and next-generation sequencing (NGS). WGS was used to screen for the occurrence of genotypes encoding antimicrobial resistance (AMR). We noted the broad-spectrum AMR of <i>H. pylori</i> (rates from 23.5 to 90.0%). A WGS-based method validated for variant discovery in AMR-related genes (discovery rates of 100%) helped in identifying mutations of key genes statistically related to the phenotypic AMR. These included mutations often reported in Western and Asian populations and, interestingly, several putative AMR-related new genotypes in the <i>pbp1A</i> (e.g., T558S, F366L), <i>gyrA</i> (e.g., A92T, A129T), <i>gyrB</i> (e.g., R579C), and <i>rdxA</i> (e.g., R131_K166del) genes. WGS showed high performance for predicting AST phenotypes, especially for amoxicillin, clarithromycin, and levofloxacin (Youden’s index and Cohen’s Kappa > 0.80). Therefore, WGS is an accurate alternative to the phenotypic AST that provides substantial decision-making information for public health policy makers and clinicians in Africa, while providing insight into AMR mechanisms for researchers.
ISSN:2076-2607