Low-Abundance and Fragmentary Helicobacter pylori DNA Detected in Phenotypically Negative Gastric Biopsies Using Targeted Sequencing

Accurate detection and monitoring of antimicrobial resistance (AMR) in Helicobacter pylori mainly rely on phenotypic methods and culture, which can sometimes fail when bacterial load is low or after recent treatment. We investigated whether gastric biopsies classified as H. pylori-negative by standard diagnostic techniques still contain detectable bacterial DNA, including regions linked to AMR, and assessed whether selected DNA fragments can mediate allelic exchange in vitro. Gastric biopsies from 46 dyspeptic patients in the Democratic Republic of the Congo (including 23 phenotypically positive and 23 phenotypically negative individuals) were analyzed using long-read amplicon sequencing of seven resistance-associated loci, selective whole-genome amplification (sWGA) followed by long-read sequencing of H. pylori-enriched reads, and a proof-of-concept natural transformation assay. Phenotypically negative biopsies exhibited significantly lower sequencing depth across multiple loci (including 23S rRNA, gyrA, gyrB, and pbp1A; p = 0.003–0.014), indicating a reduced H. pylori DNA burden. However, AMR-associated mutations linked to various antibiotic classes were found in both groups. sWGA enabled recovery of fragmentary H. pylori sequence data from phenotypically negative samples, including reads that map to resistance- and virulence-associated genes. In vitro, 23S rRNA A2143G amplicons from both phenotypically positive and negative biopsies produced clarithromycin-resistant transformants in strain 26695. These findings indicate that phenotypically negative gastric biopsies might contain low-abundance and fragmentary H. pylori DNA. Although certain DNA fragments can mediate allelic exchange under controlled in vitro conditions, these results do not confirm bacterial viability, active infection, or clinically relevant in vivo resistance transfer. Therefore, they should be interpreted with caution in molecular AMR surveillance and detection contexts.

Authors

Institutions

Publication Details

Journal
Biomolecules
Published
2026-05-22
DOI
https://doi.org/10.3390/biom16060765
Primary Topic
Helicobacter pylori-related gastroenterology studies
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Low-Abundance and Fragmentary Helicobacter pylori DNA Detected in Phenotypically Negative Gastric Biopsies Using Targeted Sequencing

Patrick de Jesus Ngoma-Kisoko, Tressy Kalenga-Ngomba, Ghislain Disashi-Tumba, Alain Cimuanga-Mukanya et al.
Biomolecules
Helicobacter pylori-related gastroenterology studies
article

Low-Abundance and Fragmentary Helicobacter pylori DNA Detected in Phenotypically Negative Gastric Biopsies Using Targeted Sequencing

Patrick de Jesus Ngoma-Kisoko, Tressy Kalenga-Ngomba, Ghislain Disashi-Tumba, Alain Cimuanga-Mukanya, Augustin Tshibaka Kabongo, Benoît Mbiya-Mukinayi, Nadine Kayiba-Kalenda, Evariste Tshibangu-Kabamba, Takashi Matsumoto, Gunturu Revathi, Yoshio Yamaoka, Junko Akada, Fabien Mbaya-Tshibangu
article en

Abstract

Accurate detection and monitoring of antimicrobial resistance (AMR) in Helicobacter pylori mainly rely on phenotypic methods and culture, which can sometimes fail when bacterial load is low or after recent treatment. We investigated whether gastric biopsies classified as H. pylori-negative by standard diagnostic techniques still contain detectable bacterial DNA, including regions linked to AMR, and assessed whether selected DNA fragments can mediate allelic exchange in vitro. Gastric biopsies from 46 dyspeptic patients in the Democratic Republic of the Congo (including 23 phenotypically positive and 23 phenotypically negative individuals) were analyzed using long-read amplicon sequencing of seven resistance-associated loci, selective whole-genome amplification (sWGA) followed by long-read sequencing of H. pylori-enriched reads, and a proof-of-concept natural transformation assay. Phenotypically negative biopsies exhibited significantly lower sequencing depth across multiple loci (including 23S rRNA, gyrA, gyrB, and pbp1A; p = 0.003–0.014), indicating a reduced H. pylori DNA burden. However, AMR-associated mutations linked to various antibiotic classes were found in both groups. sWGA enabled recovery of fragmentary H. pylori sequence data from phenotypically negative samples, including reads that map to resistance- and virulence-associated genes. In vitro, 23S rRNA A2143G amplicons from both phenotypically positive and negative biopsies produced clarithromycin-resistant transformants in strain 26695. These findings indicate that phenotypically negative gastric biopsies might contain low-abundance and fragmentary H. pylori DNA. Although certain DNA fragments can mediate allelic exchange under controlled in vitro conditions, these results do not confirm bacterial viability, active infection, or clinically relevant in vivo resistance transfer. Therefore, they should be interpreted with caution in molecular AMR surveillance and detection contexts.

BiomoleculesVol. 16(6)
Baylor College of Medicine (US), Oita University (JP), Universitas Airlangga (ID), Aga Khan University Hospital Nairobi (KE), University of Mbuji Mayi (CD), Osaka City University (JP), University of Kinshasa (CD), Aga Khan University Nairobi (KE), Nagasaki University (JP), UCLouvain (BE)
Japan Agency for Medical Research and Development, Ministry of Education, Culture, Sports, Science and Technology, Science and Technology Research Partnership for Sustainable Development
Openalex Percentile: Top 4%
Helicobacter pylori-related gastroenterology studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.