Phenotypic and genotypic profiling of antimicrobial resistance genes and virulence factors in Pseudomonas aeruginosa isolates from keratitis patients

IF 6.6 1区 医学 Q1 OPHTHALMOLOGY
Ocular Surface Pub Date : 2025-10-01 Epub Date: 2025-10-30 DOI:10.1016/j.jtos.2025.10.011
Abiye Tigabu , Mark D.P. Willcox , Fiona Stapleton
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引用次数: 0

Abstract

Background

Pseudomonas aeruginosa (P. aeruginosa) is a major cause of ocular infections, exhibiting resistance to many antimicrobial agents and the ability to acquire further resistance through mutations and horizontal gene transfer. It employs a range of virulence factors to invade ocular tissues, leading to complications such as corneal scarring and perforation. Alarmingly, multidrug-resistant P. aeruginosa isolates are increasing worldwide. For instance, a recent outbreak in the United States of America (USA) involving an extensively drug-resistant P. aeruginosa PA1270 strain resulted in four deaths, four eye removals, and 14 cases of vision loss. A comprehensive understanding of the antibiotic resistance and virulence mechanisms of P. aeruginosa is essential for the effective management of corneal infections.

Methods

Whole-genome sequencing data from 70 P. aeruginosa isolates collected from corneal samples were retrieved from the National Center for Biotechnology Information (NCBI) database and annotated using Prokka 1.14.6. Unique genes identified in these datasets were analyzed against the Comprehensive Antibiotic Resistance Database (CARD) to determine antimicrobial resistance profiles. The presence of acquired resistance genes and virulence factors were assessed using ResFinder and the Virulence Factor Database (VFDB), respectively. Roary v3.13.0 was used for pangenome analysis, while Snippy v4.6.0 was employed for whole-genome variant analysis. Furthermore, mobile genetic elements (MGEs) and pathogenicity islands (PIs) were identified using MobileElementFinder v1.0.3 and IslandViewer 4, respectively. In parallel, phenotypic characterization, including determination of minimum inhibitory concentrations (MICs) for selected antimicrobial agents, was performed using the broth microdilution method. Additionally, a crystal violet assay was conducted to evaluate the biofilm-forming ability of P. aeruginosa.

Results

The corneal P. aeruginosa harboured numerous AMR genes against various classes of antibiotics. Notably, the most prevalent acquired resistance genes across all keratitis P. aeruginosa strains were β-lactams blaPAO, and blaOXA, aminoglycoside aph(3′)-IIb, chloramphenicol catB7, and fosfomycin fosA. P. aeruginosa keratitis isolates harbored more core and cloud genes than environmental and cystic fibrosis (CF) strains. A significant difference in ciprofloxacin resistance gene crpP was observed between the keratitis and CF isolates. Additionally, a considerable number of insertion sequences (ISPa1, ISPa6, ISPa32) and transposons (Tn4661, Tn6082, Tn5563) were identified. Phenotypic characterization of antimicrobial resistance (AMR) revealed that gentamicin were the most effective antibiotics against corneal P. aeruginosa isolates. However, 68.9 % of the isolates exhibited resistance to imipenem. Surprisingly, 26.7 % of the P. aeruginosa strains were classified as MDR, all of them originating from India. Furthermore, 61.8 % of the corneal P. aeruginosa isolates were strong biofilm producers, with all MDR strains identified as strong biofilm formers.

Conclusions

Genotypic analysis revealed key resistance mechanisms, including antibiotic efflux, inactivation, and target alteration, as well as several structural and secreted virulence factors. Whilst MDR and extensively drug-resistant (XDR) strains were identified among the keratitis P. aeruginosa isolates, most isolates in this study were susceptible to gentamicin. These findings offer valuable insights for developing targeted therapeutic strategies that, when used in combination with antibiotics, may improve treatment outcomes and help mitigate the emergence of resistance.
角膜炎患者铜绿假单胞菌耐药基因和毒力因子的表型和基因型分析
铜绿假单胞菌(P. aeruginosa)是眼部感染的主要原因,表现出对许多抗微生物药物的耐药性,并能够通过突变和水平基因转移获得进一步的耐药性。它利用一系列毒力因子侵入眼部组织,导致角膜瘢痕和穿孔等并发症。令人震惊的是,耐多药铜绿假单胞菌分离株在世界范围内正在增加。例如,最近在美利坚合众国(美国)爆发了一种广泛耐药的铜绿假单胞菌PA1270菌株,造成4人死亡、4人摘除眼睛和14例视力丧失。全面了解铜绿假单胞菌的抗生素耐药性和毒力机制对于有效管理角膜感染至关重要。方法从美国国家生物技术信息中心(National Center for Biotechnology Information, NCBI)数据库中检索70株铜绿假单胞菌的全基因组测序数据,并使用Prokka 1.14.6进行注释。在这些数据集中鉴定的独特基因与综合抗生素耐药性数据库(CARD)进行分析,以确定抗菌素耐药性谱。分别使用ResFinder和毒力因子数据库(VFDB)评估获得性耐药基因和毒力因子的存在。采用Roary v3.13.0进行全基因组分析,采用Snippy v4.6.0进行全基因组变异分析。此外,利用MobileElementFinder v1.0.3和IslandViewer 4分别鉴定了移动遗传元件(MGEs)和致病岛(pi)。同时,使用肉汤微量稀释法进行表型表征,包括测定所选抗菌药物的最低抑制浓度(mic)。另外,采用结晶紫法对铜绿假单胞菌的生物膜形成能力进行了评价。结果角膜铜绿假单胞菌含有大量抗多种抗生素的AMR基因。值得注意的是,所有铜绿假单胞菌菌株中最常见的获得性耐药基因是β-内酰胺blaPAO和blaOXA、氨基糖苷葡萄球菌(3′)-IIb、氯霉素catB7和磷霉素fosA。铜绿假单胞菌角膜炎分离株比环境性和囊性纤维化(CF)菌株含有更多的核心和云基因。角膜炎与CF分离株环丙沙星耐药基因crpP差异有统计学意义。此外,还鉴定出相当数量的插入序列(ISPa1、ISPa6、ISPa32)和转座子(Tn4661、Tn6082、Tn5563)。结果表明,庆大霉素是抗角膜铜绿假单胞菌最有效的抗生素。68.9%的菌株对亚胺培南有耐药性。令人惊讶的是,26.7%的铜绿假单胞菌菌株被归类为耐多药,它们全部来自印度。此外,61.8%的角膜铜绿假单胞菌分离株是强生物膜产生者,所有耐多药菌株都被鉴定为强生物膜形成者。结论基因型分析揭示了主要的耐药机制,包括抗生素外排、失活和靶点改变,以及多种结构和分泌的毒力因子。虽然在铜绿假单胞菌角膜炎分离株中发现了耐多药和广泛耐药(XDR)菌株,但本研究中的大多数分离株对庆大霉素敏感。这些发现为制定有针对性的治疗策略提供了有价值的见解,当与抗生素联合使用时,可能会改善治疗结果并有助于减轻耐药性的出现。
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来源期刊
Ocular Surface
Ocular Surface 医学-眼科学
CiteScore
11.60
自引率
14.10%
发文量
97
审稿时长
39 days
期刊介绍: The Ocular Surface, a quarterly, a peer-reviewed journal, is an authoritative resource that integrates and interprets major findings in diverse fields related to the ocular surface, including ophthalmology, optometry, genetics, molecular biology, pharmacology, immunology, infectious disease, and epidemiology. Its critical review articles cover the most current knowledge on medical and surgical management of ocular surface pathology, new understandings of ocular surface physiology, the meaning of recent discoveries on how the ocular surface responds to injury and disease, and updates on drug and device development. The journal also publishes select original research reports and articles describing cutting-edge techniques and technology in the field. Benefits to authors We also provide many author benefits, such as free PDFs, a liberal copyright policy, special discounts on Elsevier publications and much more. Please click here for more information on our author services. Please see our Guide for Authors for information on article submission. If you require any further information or help, please visit our Support Center
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