Amel Abd Elhafeez S Ali¹*, Hadia Abass Eltaib¹, Ghanem Mohammed Mahjaf¹, Mazin Babekir Musa Bashir¹ and Babbiker Mohammed Taher Gorish²

¹Department of Medical Microbiology, Faculty of Medical Laboratory Sciences, Shendi University, Sudan

*Corresponding Author: Amel Abd Elhafeez S Ali, Department of Medical Microbiology, Faculty of Medical Laboratory Sciences, Shendi University, Sudan.

Received: November 15, 2022; Published: December 29, 2022

Abstract

Over half of the world's population are chronically infected with Helicobacter pylori (H. pylori), the only bacterium that the WHO has classified as a carcinogen due to its connection to the emergence of gastric cancer. The purpose of this descriptive study was to determine the frequency of H. pylori in a patient suspected with upper gastrointestinal (UGIT) disease using ICT and nested PCR as well as detection of the CagA gene in the Shendi locality. A total of 100 stool samples were collected from patients with UGIT symptoms (60% males and 40% females) with a mean age of 37.2 11.8. Samples were analyzed for the presence of H. pylori antigen by using rapid ICT test , while nested PCR was used to detect H. pylori and its associated CagA gene. Data was collected using a structured questionnaire, and the results were analyzed using (SPSS version 22). Our findings show that the frequency of H. pylori among patients is 89% by ICT and 65% by PCR, respectively. However, the frequency of CagA gene among positive PCR patients was 58.5%. We conclude that there was a high prevalence of H. pylori infection with a high CagA gene producing strain among Sudanese patients in the Shendi locality.

Keywords: H. pylori; CagA Gene; ICT; Nested PCR; Stool Sample; Sudan

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Citation

Citation: Amel Abd Elhafeez S Ali., et al. “Molecular Detection of Helicobacter pylori and its CagA Gene in Upper Gastrointestinal Disease Suspected Patients Living in Shendi Locality, Sudan". Acta Scientific Microbiology 6.1 (2023): 70-76.

Copyright

Copyright: © 2022 Amel Abd Elhafeez S Ali., et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.