Phenotypic and Genotypic Antibiotic Resistance Patterns of Clinical Shigella Isolates from Tehran, Iran

Abstract

Background: The emergence of multidrug-resistant (MDR) Shigella is a health concern in both developed and developing countries. The indiscriminate use of antibiotics without considering resistance patterns has led to the emergence of resistant strains. Objectives: This study aimed to investigate the phenotypic and genotypic patterns of antibiotic resistance and virulence gene distribution in Shigella isolates from patients in Tehran, Iran. Methods: In this cross-sectional study, 60 Shigella isolates were collected from patients referred to Milad Hospital and Pasargad Laboratory in Tehran. The isolates were gathered over four months, from February 2023 to June 2023. After biochemical and genetic confirmation of the isolates, the disk diffusion method was employed to determine antibiotic resistance patterns. The distribution of beta-lactamase genes (blaCTX-M1, blaCTX-M2, blaCTX-M8, blaSHV, blaTEM, and blaOXA) and virulence genes (ial, virF, invE, sigA, and pic) was investigated in Shigella isolates using the multiplex PCR method. SPSS statistical software version 22 was used for data analysis. Results: Thirty-six percent of isolates were found to be MDR. The highest rate of resistance was against tetracycline (90%) and ampicillin (80%). The lowest resistance rate was against azithromycin (1.9%) and amikacin (7.1%). The blaCTX-M1 and blaCTX-M8 genes were more prevalent, detected in 38.3% and 50% of the isolates, respectively. However, the blaSHV and blaCTX-M2 genes were not detected in any of the isolates. Additionally, 32% of the MDR isolates harbored both the blaCTX-M1 and blaCTX-M8 genes simultaneously. The distribution of virulence genes ial, virF, invE, sigA, and pic in the studied isolates was 28.3%, 85%, 68.3%, 81.7%, and 15%, respectively. Conclusions: The present study emphasizes the increasing trend of MDR Shigella isolates. Therefore, serious measures are needed to prevent the spread of resistant genes. Furthermore, the detection of virulence factors could help in controlling shigellosis, which is a significant global health issue.