Gajdács Márió, Baráth Zoltán, Kárpáti Krisztina, Szabó Dóra, Usai Donatella, Zanetti Stefania, Donadu Matthew Gavino
Department of Oral Biology and Experimental Dental Research, Faculty of Dentistry, University of Szeged, Tisza Lajos körút 63, 6720 Szeged, Hungary.
Institute of Medical Microbiology, Faculty of Medicine, Semmelweis University, Nagyvárad tér 4, 1089 Budapest, Hungary.
Antibiotics (Basel). 2021 Sep 20;10(9):1134. doi: 10.3390/antibiotics10091134.
() possesses a plethora of virulence determinants, including the production of biofilm, pigments, exotoxins, proteases, flagella, and secretion systems. The aim of our present study was to establish the relationship between biofilm-forming capacity, the expression of some important virulence factors, and the multidrug-resistant (MDR) phenotype in A total of three hundred and two (n = 302) isolates were included in this study. Antimicrobial susceptibility testing and phenotypic detection of resistance determinants were carried out; based on these results, isolates were grouped into distinct resistotypes and multiple antibiotic resistance (MAR) indices were calculated. The capacity of isolates to produce biofilm was assessed using a crystal violet microtiter-plate based method. Motility (swimming, swarming, and twitching) and pigment-production (pyoverdine and pyocyanin) were also measured. Pearson correlation coefficients (r) were calculated to determine for antimicrobial resistance, biofilm-formation, and expression of other virulence factors. Resistance rates were the highest for ceftazidime (56.95%; n = 172), levofloxacin (54.97%; n = 166), and ciprofloxacin (54.64%; n = 159), while lowest for colistin (1.66%; n = 5); 44.04% (n = 133) of isolates were classified as MDR. 19.87% (n = 60), 20.86% (n = 63) and 59.27% (n = 179) were classified as weak, moderate, and strong biofilm producers, respectively. With the exception of pyocyanin production (0.371 ± 0.193 vs. non-MDR: 0.319 ± 0.191; = 0.018), MDR and non-MDR isolates did not show significant differences in expression of virulence factors. Additionally, no relevant correlations were seen between the rate of biofilm formation, pigment production, or motility. Data on interplay between the presence and mechanisms of drug resistance with those of biofilm formation and virulence is crucial to address chronic bacterial infections and to provide strategies for their management.
()具有大量毒力决定因素,包括生物膜形成、色素产生、外毒素、蛋白酶、鞭毛和分泌系统。我们当前研究的目的是确定生物膜形成能力、一些重要毒力因子的表达与多药耐药(MDR)表型之间的关系。本研究共纳入302株分离株。进行了抗菌药物敏感性测试和耐药决定因素的表型检测;基于这些结果,将分离株分为不同的耐药类型,并计算多重抗生素耐药(MAR)指数。使用基于结晶紫微量滴定板的方法评估分离株产生生物膜的能力。还测量了运动性(游动、群游和颤动)和色素产生(绿脓菌素和绿脓杆菌素)。计算皮尔逊相关系数(r)以确定抗菌耐药性、生物膜形成和其他毒力因子的表达情况。头孢他啶(56.95%;n = 172)、左氧氟沙星(54.97%;n = 166)和环丙沙星(54.64%;n = 159)的耐药率最高,而黏菌素的耐药率最低(1.66%;n = 5);44.04%(n = 133)的分离株被归类为MDR。19.87%(n = 60)、20.86%(n = 63)和59.27%(n = 179)分别被归类为弱、中和强生物膜产生菌。除绿脓杆菌素产生外(MDR:0.371±0.193,非MDR:0.319±0.191;P = 0.018),MDR和非MDR分离株在毒力因子表达上未显示出显著差异。此外,在生物膜形成率、色素产生或运动性之间未观察到相关相关性。关于耐药性的存在和机制与生物膜形成和毒力之间相互作用的数据对于解决慢性细菌感染并提供其管理策略至关重要。