Distribution of antimicrobial resistance among different serovars of Haemophilus parasuis isolates
Abstract
The aim of the present study was to determine the antimicrobial susceptibility of Haemophilus parasuis in China and to investigate possible correlations between antimicrobial resistance and serovars or virulence. The susceptibility of 110 clinical isolates to 22 antimicrobial agents was determined by an agar dilution method. Except 28 isolates (25.5%) were non-typable, the isolates comprising thirteen serovars (1-5, 7-10, and 12-15), with the most prevalent were serovars 4 (14.5%), 5 (26.4%), 12 (9.1%) and 13 (10.9%). All isolates were susceptible to cefotaxime, ceftiofur, azithromycin, chloramphenicol, florfenicol and tilmicosin, and most of them were susceptible to penicillin, ampicillin, cefaclor, levofloxacin, ciprofloxacin, erythromycin, tetracycline, gentamicin, spectinomycin and tiamulin; however, a high level of resistance was encountered for enrofloxacin (70.9%) and trimethoprim/sulphamethoxazole (44.5%). There were 32 antimicrobial antibiograms observed, with 23.6% of the isolates resistant to more than 3 antimicrobial agents. Antimicrobial resistance was observed in every serovar included in this study, but no statistically significant association was observed between the antimicrobial resistance and the serovars or virulence of H. parasuis.
Read the paper
Related studies
- Pharmacokinetic aspects of retinal drug delivery
- A standardised method for interpreting the association between mutations and phenotypic drug resistance in Mycobacterium tuberculosis
- From Therapeutic Drug Monitoring to Model‐Informed Precision Dosing for Antibiotics
- Capsaicin, a novel inhibitor of the NorA efflux pump, reduces the intracellular invasion of Staphylococcus aureus
- In Vitro Pharmacodynamic Evaluation of the Mutant Selection Window Hypothesis Using Four Fluoroquinolones against Staphylococcus aureus
- Discovery of Potent, Selective Multidrug and Toxin Extrusion Transporter 1 (MATE1, SLC47A1) Inhibitors Through Prescription Drug Profiling and Computational Modeling
Go deeper in Evidence Hub
Evidence Hub adds a study data sheet (design, sample size, evidence level, key numbers), an AI summary and a chat grounded in the paper's text.