Suppr超能文献

奇异变形杆菌生物膜的解码:选定毒力基因的表达及其与抗生素耐药性的关联

Decoding Proteus mirabilis biofilms: expression of selected virulence genes and association with antibiotic resistance.

作者信息

Nissanka Malshani Chathuranika, Dilhari Ayomi, Munasinghe Jagath Anuradha, Priyadarshana Gayan, Bandara Kumudu, Munaweera Imalka, Weerasekera Manjula Manoji

机构信息

Department of Microbiology, Faculty of Medical Sciences, University of Sri Jayewardenepura, Nugegoda, Sri Lanka.

Department of Basic Sciences, Faculty of Allied Health Sciences, University of Sri Jayewardenepura, Nugegoda, Sri Lanka.

出版信息

BMC Microbiol. 2025 Aug 5;25(1):481. doi: 10.1186/s12866-025-04212-z.

Abstract

BACKGROUND

Proteus mirabilis is a uropathogens with a strong ability to form resilient crystalline biofilms, particularly on urinary catheters, contributing to its persistence and antibiotic resistance. As biofilm-driven virulence is key in complicated urinary tract infections, understanding its virulence genes and resistance mechanisms is crucial for improving treatment strategies. We investigated the presence, and expression of key virulence genes (ureC, mrpA, speA, and rsbA) in biofilm-forming P. mirabilis strains sourced from both urine (n = 26) and non-urine specimens, such as pus, wounds, and blood isolates (n = 26) and analyzed their association with antimicrobial resistance profiles. The presence and expression of P.mirabilis's virulence genes were detected using conventional PCR and Quantitative real-time PCR assays (qPCR), respectively. Antibiotic susceptibility test (AST) was conducted using the Kirby-Bauer method, adhering to Clinical and Laboratory Standards Institute (CLSI) guidelines. Statistical analysis was performed using the R language.

RESULTS

Virulence genes (ureC, mrpA, speA, and rsbA) exhibited high prevalence (> 92% in urine, > 84% in non-urine isolates) with no significant differences (Cochran's Q test; p = 0.801). Multidrug resistance (MDR) and extensively drug-resistant (XDR) were detected in 100% and 57.69% of urine isolates, and 96.15% and 65.38% of non-urine isolates, respectively. Gene combinations are strongly linked to higher resistance rates. mrpA exhibited the highest expression in urine-derived strains, followed by rsbA, and ureC, with speA having the lowest. Post-hoc analysis revealed a significant variation in the rsbA expression compared to speA (p = 0.029) and ureC (p = 0.007). speA showed the highest expression in non-urine isolates, followed by rsbA, ureC, and mrpA, with significant differences among all gene pairs (Conover's all-pairs test; p > 0.05) except rsbA vs. speA. XDR status showed no significant effect or interaction on gene expression in urine and non-urine isolates (p = 0.290; p > 0.05).

CONCLUSION

The virulence genes ureC, mrpA, speA, and rsbA are consistently found in P. mirabilis strains from both urine and non-urine specimens; however, their expression varies significantly, likely due to host or environmental factors. The presence of high multidrug-resistant (MDR) and extensively drug-resistant (XDR) P. mirabilis strains, potentially driven by the combination of these virulence genes, suggests an increase in virulence.

摘要

背景

奇异变形杆菌是一种尿路致病菌,具有很强的形成坚韧晶体生物膜的能力,尤其在导尿管上,这有助于其持续存在和产生抗生素耐药性。由于生物膜驱动的毒力在复杂性尿路感染中起关键作用,了解其毒力基因和耐药机制对于改进治疗策略至关重要。我们调查了来自尿液(n = 26)和非尿液标本(如脓液、伤口和血液分离株,n = 26)的产生物膜奇异变形杆菌菌株中关键毒力基因(ureC、mrpA、speA和rsbA)的存在情况及表达,并分析了它们与抗菌药物耐药谱的关联。分别使用常规PCR和定量实时PCR检测(qPCR)奇异变形杆菌毒力基因的存在情况和表达。采用 Kirby-Bauer 法进行抗生素敏感性试验(AST),遵循临床和实验室标准协会(CLSI)指南。使用R语言进行统计分析。

结果

毒力基因(ureC、mrpA、speA和rsbA)具有较高的流行率(尿液中>92%,非尿液分离株中>84%),无显著差异( Cochr an检验;p = 0.801)。尿液分离株中100%检测到多重耐药(MDR)和广泛耐药(XDR),非尿液分离株中分别为96.15%和65.38%。基因组合与较高的耐药率密切相关。mrpA在尿液来源的菌株中表达最高,其次是rsbA和ureC,speA表达最低。事后分析显示,与speA(p = 0.029)和ureC(p = 0.007)相比,rsbA的表达有显著差异。speA在非尿液分离株中表达最高,其次是rsbA、ureC和mrpA,除rsbA与speA外,所有基因对之间均有显著差异(Conover全对检验;p > 0.05)。XDR状态对尿液和非尿液分离株中的基因表达无显著影响或相互作用(p = 0.290;p > 0.05)。

结论

毒力基因ureC、mrpA、speA和rsbA在尿液和非尿液标本的奇异变形杆菌菌株中均持续存在;然而,它们的表达差异显著,可能是由于宿主或环境因素。高多重耐药(MDR)和广泛耐药(XDR)奇异变形杆菌菌株的存在,可能由这些毒力基因的组合驱动,提示毒力增加。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验