Investigating the possibility of using the bioresonance assay for detecting Helicobacter pylori infection in experimentally infected C57BL/6 mice model, compared with histopathological examination

Document Type : Full Research Paper

Authors

1 Department of Pathobiology, Science and Research Branch, Islamic Azad University, Tehran, Iran.

2 Department of Clinical Sciences, Science and Research Branch, Islamic Azad University, Tehran, Iran

Abstract

Helicobacter pylori infection is the most common stomach disease worldwide. Various invasive and non-invasive diagnostic methods are used to detect this bacterium, associated with limitations. The present study was conducted to evaluate the efficiency of the resonance method and the use of specific modulation frequency (SMF) compared with the histopathology diagnostic method to detect Helicobacter pylori in gastric biopsy samples of experimentally infected mice. 
One hundred healthy male C57BL/6 mice were included in the study and divided into the control and treatment groups. 
Mice of the treatment group were inoculated intragastrically with 109 colony-forming units of H. pylori (ATCC 43504) mixture or PBS after treatment with 0.2 ml of 0.2 M NaHCO3 (Merck, Germany) to neutralize gastric acidity. 
Mice were kept up to 28 days and examined on days 0, 7, 14, 21, and 28 using Histopathology and SMF. 
On day 0, only SMF could detect the H. pylori in the stomach of 60% of mice. On day 7, histopathology could detect H. pylori in 20% of mice. SMF detected all infected mice from days 7 to 28 (100%). 
Histopathology detected all infected mice only on day 28. Statistically significant differences were found between the two diagnostic methods on days 0, 7, 14, and 21 of the experiment (P <0.05). SMF was found to have high sensitivity and specificity for H. pylori detection in all stages of infection.

Keywords

References

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Veterinary Research & Biological Products
Volume 36, Issue 3 - Serial Number 3
September 2023
Pages 36-43

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History

  • Receive Date: 28 September 2022
  • Revise Date: 26 November 2022
  • Accept Date: 04 December 2022

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