Detection of Antimicrobial Resistance Using Proteomics and the Comprehensive Antibiotic Resistance Database: A Case...

Area of Science:

• Microbiology
• Genomics
• Proteomics

Background:

• Antimicrobial resistance (AMR) poses a significant global health threat.
• Multidrug resistance necessitates advanced detection methods.

Purpose of the Study:

• To evaluate shotgun proteomics as a complementary method to whole-genome sequencing (WGS) for detecting AMR determinants.
• To assess the suitability of proteomics for identifying resistance mechanisms in Campylobacter jejuni.

Main Methods:

• Utilized existing shotgun proteomics and WGS data from four Campylobacter jejuni isolates.
• Performed AMR detection by searching the Comprehensive Antibiotic Resistance Database.
• Compared proteomic and genomic detection abilities against traditional phenotypic testing (minimum inhibitory concentration).

Main Results:

• Both genomic and proteomic methods identified determinants for tetracycline and ciprofloxacin resistance, consistent with phenotypic data.
• Genomic analysis detected the blaOXA-61 gene in three isolates, but the corresponding protein was found in only one, matching phenotypic results.

Conclusions:

• Shotgun proteomics is a viable approach for detecting AMR determinants.
• Proteomics offers complementary information to WGS and phenotypic testing for AMR surveillance.