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Isolation and Identification of Waterborne Antibiotic-Resistant Bacteria and Molecular Characterization of their Antibiotic Resistance Genes
Published on: March 3, 2023
Phenotypic and genotypic antimicrobial resistance profiles of gram-positive cocci and non-fermenting gram-negative
Carolina Peconick Silva1, Cassia Lopes Silva1, Ihtisham Ul Haq2,3,4
1Applied Microbiology Laboratory, Microbiology Department, Instituto de Ciências Biológicas of the Universidade Federal de Minas Gerais, Belo Horizonte, Minas gerais, Brazil, 31270901.
Abstract:
Antimicrobial resistance poses a significant global threat, particularly in healthcare settings, due to the spread of gram-positive cocci (GPCs) such as Staphylococcus spp. and Enterococcus spp. and non-fermenting gram-negative rods (NF-GNRs). This study investigates the phenotypic and genotypic resistance profiles of these pathogens. A total of 235 clinical isolates of GPCs and 108 NF-GNRs from a tertiary-care hospital were analyzed for antimicrobial susceptibility and resistance-associated genes. Chi-square tests were applied to assess genotype-phenotype associations, and multivariate analyses (principal component analysis, PCA) were used to explore clustering of isolates and antibiotics according to resistance profiles in each genus. Among GPCs, 69% of Enterococcus spp. and 71% of Staphylococcus spp. isolates were resistant to several first-line antimicrobials. Erythromycin, β-lactams, and tetracyclines showed the highest resistance rates, whereas nitrofurantoin, linezolid and fosfomycin remained largely effective against most isolates. In Enterococcus, PCA separated E. faecalis and E. faecium into two main resistance clusters driven mainly by ampicillin, vancomycin, teicoplanin, and erythromycin loadings, whereas for Staphylococcus no clear clustering by species was observed, and the variance was dominated by fluoroquinolones and selected β‑lactams. Acinetobacter baumannii and Pseudomonas aeruginosa grouped according to resistance, intermediate and susceptible profiles; however no robust grouping pattern could be inferred for Stenotrophomonas maltophilia due to the small sample size. Among NF‑GNRs, 89% of isolates were multidrug-resistant (MDR). Carbapenem resistance in A. baumannii reached 85% and was mainly associated with blaOXA‑23 and blaOXA‑143, while in P. aeruginosa ESBL genes (blaCTX‑M, blaSHV, blaGES, blaBEL‑1) and aac(6')‑Ib‑cr were detected at lower frequencies, and. maltophilia primarily carried sul2 (± sul1). This study highlights the high prevalence of antimicrobial resistance among both gram-positive and gram-negative clinical isolates, with multidrug-resistant phenotypes common in Staphylococcus spp., Enterococcus spp., A. baumannii, and P. aeruginosa. The identified phenotypic and genotypic resistance patterns underscore significant therapeutic challenges and importance for strengthening antimicrobial stewardship and surveillance programs.
Insights
Antimicrobial resistance is a major global health threat. This study reveals high rates of multidrug resistance in common hospital-acquired gram-positive cocci and gram-negative rods, highlighting urgent needs for better antimicrobial stewardship and surveillance.
Area of Science:
- Clinical Microbiology
- Infectious Diseases
- Genetics and Genomics
Background:
- Antimicrobial resistance (AMR) is a critical global health challenge, particularly in healthcare settings.
- Gram-positive cocci (GPCs) like Staphylococcus spp. and Enterococcus spp., and non-fermenting gram-negative rods (NF-GNRs) are significant contributors to hospital-acquired infections.
Purpose of the Study:
- To investigate the phenotypic and genotypic antimicrobial resistance profiles of clinical isolates of GPCs and NF-GNRs.
- To identify specific resistance-associated genes and their correlation with observed resistance patterns.
- To explore clustering of isolates and antibiotics based on resistance profiles.
Main Methods:
- Analysis of antimicrobial susceptibility testing for 235 GPC and 108 NF-GNR clinical isolates.
- Genotyping for resistance-associated genes.
- Application of Chi-square tests for genotype-phenotype associations.
- Multivariate analyses, including Principal Component Analysis (PCA), to explore resistance patterns.
Main Results:
- High resistance rates (69-71%) to first-line antimicrobials were observed in Enterococcus spp. and Staphylococcus spp.
- Nitrofurantoin, linezolid, and fosfomycin showed sustained efficacy against most GPCs.
- Multidrug resistance (MDR) was prevalent in 89% of NF-GNRs, with 85% carbapenem resistance in Acinetobacter baumannii linked to specific OXA genes.
- Specific resistance gene profiles were identified for Acinetobacter baumannii, Pseudomonas aeruginosa, and Stenotrophomonas maltophilia.
Conclusions:
- A high prevalence of antimicrobial resistance, including MDR phenotypes, exists in common clinical isolates of GPCs and NF-GNRs.
- Identified phenotypic and genotypic resistance patterns present significant therapeutic challenges.
- Findings emphasize the critical need for enhanced antimicrobial stewardship and surveillance programs to combat AMR.
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