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Updated: Feb 18, 2026

Detection of Helicobacter pylori Infection and Antibiotic Resistance via Stool Quantitative Polymerase Chain Reaction Analysis
Published on: May 16, 2025
Detection of Helicobacter pylori in stool samples of young children using real-time polymerase chain reaction
Gany Beer-Davidson1, Musa Hindiyeh1,2, Khitam Muhsen1
1Department of Epidemiology and Preventive Medicine, School of Public Health, Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel.
Insights
A new multiplex real-time PCR assay accurately detects Helicobacter pylori in children's stool. This method aids in understanding H. pylori prevalence and antibiotic resistance in pediatric populations.
Area of Science:
- Microbiology
- Molecular Biology
- Pediatric Infectious Diseases
Background:
- Helicobacter pylori is a significant pathogen in pediatric populations.
- Accurate detection of H. pylori in stool is crucial for epidemiological studies and clinical management.
- Understanding antibiotic resistance patterns, such as clarithromycin resistance, is essential for effective treatment.
Purpose of the Study:
- To develop and validate a multiplex real-time polymerase chain reaction (q-PCR) assay for detecting Helicobacter pylori in children's stool samples.
- To determine the prevalence of H. pylori infection in a pediatric cohort.
- To assess the prevalence of clarithromycin resistance and the cagA gene in H. pylori-positive samples.
Main Methods:
- A multiplex q-PCR assay was designed to detect H. pylori 16S rRNA and urease genes, with human RNase P as an internal control.
- Stool samples from children (6-9 years) and infants (2-18 months) were tested using the developed q-PCR and enzyme immunoassay (EIA).
- Agreement between q-PCR and EIA was assessed using the Kappa coefficient. Sequencing confirmed clarithromycin resistance mutations and cagA gene presence.
Main Results:
- The validated q-PCR assay demonstrated a limit of detection of 1 CFU/reaction with no cross-reactivity.
- H. pylori prevalence was 50% by q-PCR and 59% by EIA, with good agreement (Kappa = 0.80) in older children.
- Sixteen samples were positive for the cagA gene, and three harbored the clarithromycin resistance mutation (A2143G).
Conclusions:
- The developed multiplex q-PCR assay is a reliable tool for H. pylori detection in pediatric stool samples.
- This assay can enhance the accuracy of H. pylori detection in both epidemiological and clinical settings.
- The study provides valuable data on H. pylori prevalence and antibiotic resistance in young populations.
Background:
The aims of this study were to develop and validate a multiplex real-time polymerase chain reaction (q-PCR) assay of Helicobacter pylori in stool samples of healthy children. Additionally, we determined the prevalence of clarithromycin resistance and cagA gene in H. pylori-positive samples.
Materials And Methods:
Archived stool samples from 188 children aged 6-9 years and 272 samples of 92 infants aged 2-18 months were tested for H. pylori antigens using enzyme immunoassay (EIA). A multiplex q-PCR assay was designed to detect H. pylori 16S rRNA and urease and the human RNase P gene as an internal control. Kappa coefficient was calculated to assess the agreement between q-PCR and EIA.
Results:
Laboratory validation of the q-PCR assay using quantitated H. pylori ATCC 43504 extracted DNA showed S-shaped amplification curves for all genes; the limit of detection was 1 CFU/reaction. No cross-reactivity with other bacterial pathogens was noted. Applying the multiplex q-PCR to DNA extracted from fecal samples showed clear amplification curves for urease gene, but not for 16S rRNA. The prevalence of H. pylori infection was 50% (95% CI 43%-57%) by q-PCR (urease cycle threshold <44) vs 59% (95% CI 52%-66%) by EIA. Kappa coefficient was .80 (P < .001) and .44 (P < .001) for children aged 6-9 years and 2-18 months, respectively. Sixteen samples were positive for cagA and three were positive for clarithromycin resistance mutation (A2143G) as confirmed by sequencing.
Conclusions:
The developed q-PCR can be used as a cotechnique to enhance the accuracy of H. pylori detection in epidemiological studies and in clinical settings.
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