Identification of potentially involved proteins in levofloxacin resistance mechanisms in Coxiella burnetii
Abstract
The etiological agent of Q fever, Coxiella burnetii, is an obligate intracellular bacterium that multiplies within a phagosome-like parasitophorous vacuole. Fluoroquinolones have been used as an alternative therapy for Q fever. Resistance to fluoroquinolones can arise via several mechanisms utilized by pathogens to avoid killing. Until today, genome-based studies have shown that the main mechanism of C. burnetii to resist inhibition by fluoroquinolones is based on mutations in quinolone-resistance-determining region (QRDR). In this study, in a broader search at the protein level for C. burnetii mechanisms that confer resistance to fluoroquinolones, the proteomes of in vitro developed fluoroquinolone resistant bacteria and susceptible bacteria were compared using the MS-driven combined fractional diagonal chromatography (COFRADIC) proteomics technique. Quantitative comparison of the 381 proteins identified in both strains indicated the different expression of 15 bacterial proteins. These proteins are involved in different cellular processes indicating that the antibiotic resistance mechanism of the bacterium is a multifaceted process.
Read the paper
Related studies
- Ferulic acid regulates the AKT/GSK-3β/CRMP-2 signaling pathway in a middle cerebral artery occlusion animal model
- Novel Pharmacokinetic/Pharmacodynamic Parameters Quantify the Exposure–Effect Relationship of Levofloxacin against Fluoroquinolone-Resistant Escherichia coli
- Photochemical behavior of levofloxacin
- Correlation Between Dissolution Profiles of Salt-Form Drugs in Biorelevant Bicarbonate Buffer and Oral Drug Absorption: Importance of Dose/ Fluid Volume Ratio
- Evaluation of the synergistic potential and mechanisms of action for de novo designed cationic antimicrobial peptides
- Synthesis of [11C]levofloxacin
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.