Helicobacter pylori is a highly prevalent gut pathogen with reported implications in a wide range of gastrointestinal disorders. Antibiotic based therapy, especially with clarithromycin is one of most effective treatment strategies against H. pylori. However, rising global prevalence of clarithromycin resistance in certain H. pylori strains, primarily attributed to point mutations in the 23 s ribosomal RNA coding gene, pose a major challenge in the effective eradication of this pathogen. There are a number of established methodologies devised for H. pylori mutation detection, so as to provide a tailored treatment plan to the patients and resist further transmissions of antibiotic resistant strains. However, there is no ‘gold standard’ method available to detect mutation status in clinical isolates of H. pylori from infected patients. CRISPR-Cas9 based technologies have revolutionized the field of mutation detection in biological samples, particularly during the recent COVID-19 pandemic. Although multiple assays have been reported for detection of H. pylori in clinical samples including CRISPR diagnostics (CRISPRDx) platforms, there is no such assay reported till date to detect specific mutations that confer antibiotic resistance to this pathogen. In this study, we have developed an assay using engineered FnCas9 (en31-FnCas9) protein to effectively detect the A2142G and A2143G mutations in the 23 s rDNA of H. pylori strains isolated from gastric biopsy samples. The data from in vitro cleavage assays and strip-based lateral flow tests using en31-FnCas9 and guide RNAs targeting the conserved and mutated loci of H. pylori 23 s rDNA are in perfect congruence with the data from Sanger sequencing and restriction fragment length polymorphism (RFLP) analysis. Our results indicate that en31-FnCas9 based mutation analysis can be deployed as an efficient diagnostic methodology to detect clarithromycin susceptibility in patients with suspected H. pylori infections.
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