Non-Invasive Colorimetric Magneto Loop-Mediated Isothermal Amplification (CM-LAMP) Method for Helicobacter pylori

Khotchawan Bangpanwimon1, Pimonsri Mittraparp-Arthorn1,2, Kanchana Srinitiwarawong1

  • 1Department of Microbiology, Division of Biological Science, Faculty of Science, Prince of Songkla University, Hat-Yai, Songkhla 90110, Thailand.

Insights

A new colorimetric magneto loop-mediated isothermal amplification (CM-LAMP) assay offers a highly sensitive and specific noninvasive method for detecting Helicobacter pylori (H. pylori) infection in saliva. This advancement surpasses PCR and conventional LAMP in sensitivity.

Area of Science:

  • Microbiology
  • Molecular Diagnostics
  • Biotechnology

Background:

  • Helicobacter pylori infection affects over half the global population.
  • H. pylori is linked to gastric ulcers and gastric cancer.
  • Current diagnostic methods for H. pylori are invasive and difficult.

Purpose of the Study:

  • To develop a sensitive and specific noninvasive assay for H. pylori detection.
  • To evaluate the performance of a novel colorimetric magneto loop-mediated isothermal amplification (CM-LAMP) assay.
  • To assess the feasibility of using saliva samples for H. pylori diagnosis.

Main Methods:

  • Design and implementation of a colorimetric magneto loop-mediated isothermal amplification (CM-LAMP) assay.
  • Utilizing magnetic nanoparticles for solid-phase amplification of H. pylori DNA.
  • Colorimetric signal development using NeutrAvidin horseradish peroxidase conjugate and ABTS.

Main Results:

  • The CM-LAMP assay demonstrated high specificity, detecting only H. pylori isolates among tested microorganisms.
  • The assay achieved 100-fold greater sensitivity than PCR and conventional LAMP.
  • The limit of detection was as low as 40 CFU/ml or 0.2 CFU per reaction in spiked saliva samples.

Conclusions:

  • The CM-LAMP assay is a highly sensitive and specific noninvasive method for H. pylori detection.
  • Saliva samples can be effectively used for molecular diagnosis of H. pylori infection.
  • This novel platform shows promise for improved H. pylori diagnostics.