Antimicrobial Resistance and β-Lactamase Production in Clinically Significant Gram-Negative Bacteria Isolated from Hospital and Municipal Wastewater.
Mohammad IrfanAlhomidi AlmotiriZeyad Abdullah alZeyadiPublished in: Antibiotics (Basel, Switzerland) (2023)
Hospital and municipal wastewater contribute to the spread of antibiotic-resistant bacteria and genes in the environment. This study aimed to examine the antibiotic resistance and β-lactamase production in clinically significant Gram-negative bacteria isolated from hospital and municipal wastewater. The susceptibility of bacteria to antibiotics was tested using the disk diffusion method, and the presence of extended-spectrum β-lactamases (ESBL) and carbapenemases was determined using an enzyme inhibitor and standard multiplex PCR. Analysis of antimicrobial resistance of total bacterial strains ( n = 23) revealed that most of them were resistant to cefotaxime (69.56%), imipenem (43.47%), meropenem (47.82%) and amoxicillin-clavulanate (43.47%), gentamicin (39.13%), cefepime and ciprofloxacin (34.78%), trimethoprim-sulfamethoxazole (30.43%). A total of 8 of 11 phenotypically confirmed isolates were found to have ESBL genes. The bla TEM gene was present in 2 of the isolates, while the bla SHV gene was found in 2 of the isolates. Furthermore, the bla CTX-M gene was found in 3 of the isolates. In one isolate, both the bla TEM and bla SHV genes were identified. Furthermore, of the 9 isolates that have been phenotypically confirmed to have carbapenemase, 3 were confirmed by PCR. Specifically, 2 isolates have the bla OXA-48 type gene and 1 have the bla NDM-1 gene. In conclusion, our investigation shows that there is a significant rate of bacteria that produce ESBL and carbapenemase, which can promote the spread of bacterial resistance. Identifying ESBL and carbapenemase production genes in wastewater samples and their resistance patterns can provide valuable data and guide the development of pathogen management strategies that could potentially help reduce the occurrence of multidrug resistance.
Keyphrases
- klebsiella pneumoniae
- genome wide identification
- genome wide
- escherichia coli
- wastewater treatment
- antimicrobial resistance
- multidrug resistant
- copy number
- genetic diversity
- genome wide analysis
- transcription factor
- healthcare
- dna methylation
- gram negative
- drug resistant
- acinetobacter baumannii
- antibiotic resistance genes
- risk assessment
- machine learning
- pseudomonas aeruginosa
- adverse drug
- microbial community
- acute care
- emergency department
- heavy metals
- deep learning
- single cell