Exosome-Based Detection of Helicobacter pylori Infection and Clarithromycin Resistance in Children

Minghui Song1, Jingqing Zeng2, Zhanyong Yao1

  • 1Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.

Helicobacter
|March 4, 2026
PubMed

Insights

Salivary exosomes offer a sensitive, non-invasive method for diagnosing H. pylori infection in children. This approach also shows strong agreement with invasive tests for detecting antibiotic resistance, aiding treatment decisions.

Area of Science:

  • Pediatric infectious diseases
  • Molecular diagnostics
  • Exosome biology

Background:

  • High prevalence of Helicobacter pylori (H. pylori) infection in children.
  • Limitations of invasive diagnostic methods like gastroscopy in pediatric patients.
  • Need for reliable non-invasive H. pylori detection alternatives.

Purpose of the Study:

  • Evaluate diagnostic value of salivary and urinary exosomes for H. pylori detection in children.
  • Assess exosome-based detection of clarithromycin resistance.
  • Compare non-invasive exosome tests with standard invasive methods.

Main Methods:

  • Collection of saliva and urine samples from pediatric patients.
  • Exosomal DNA extraction and quantitative PCR (qPCR) for H. pylori DNA and resistance genes.
  • Calculation of sensitivity and specificity against gastroscopy reference standard.

Main Results:

  • Salivary exosomes detected H. pylori with 93.67% sensitivity and 80.11% specificity.
  • Urinary exosomes showed higher specificity (90.56%) but lower sensitivity (62.96%).
  • Salivary exosome testing demonstrated 91.15% concordance with gastric tissue for clarithromycin resistance detection.

Conclusions:

  • Salivary exosome analysis is a sensitive, well-tolerated, non-invasive method for pediatric H. pylori diagnosis.
  • This method shows substantial agreement with invasive techniques for identifying clarithromycin resistance.
  • Exosome-based diagnostics offer a promising tool for guiding pediatric H. pylori eradication therapy.
Abstract