五种表型检测方法分析革兰氏阴性菌中的黏菌素耐药性,并推断潜在的基因组机制。

Colistin resistance in Gram-negative bacteria analysed by five phenotypic assays and inference of the underlying genomic mechanisms.

机构信息

Applied Microbiology Research, Department of Biomedicine, University of Basel, Basel, Switzerland.

Clinical Bacteriology and Mycology, University Hospital Basel, Basel, Switzerland.

出版信息

BMC Microbiol. 2021 Nov 20;21(1):321. doi: 10.1186/s12866-021-02388-8.

Abstract

BACKGROUND

Colistin is used against multi-drug resistant pathogens, yet resistance emerges through dissemination of plasmid-mediated genes (mcr) or chromosomal mutation of genes involved in lipopolysaccharide synthesis (i.e. mgrB, phoPQ, pmrCAB). Phenotypic susceptibility testing is challenging due to poor diffusion of colistin in agar media, leading to an underestimation of resistance. Performance of five phenotypic approaches was compared in the context of different molecular mechanisms of resistance. We evaluated Vitek 2® (bioMérieux, AST N242), Colistin MIC Test Strip (Liofilchem Diagnostici), UMIC (Biocentric), and Rapid Polymyxin™ NP test (ELITechGroup) against the standard broth microdilution (BMD) method. We used whole genome sequencing (WGS) to infer molecular resistance mechanisms. We analysed 97 Enterobacterales and non-fermenting bacterial isolates, largely clinical isolates collected up to 2018. Data was analysed by comparing susceptibility categories (susceptible or resistant) and minimal inhibitory concentrations (MIC). Susceptibility category concordance is the percentage of test results sharing the same category to BMD. MIC concordance was calculated similarly but considering ±1 MIC titre error range. We determined genomic diversity by core genome multi locus sequencing typing (cgMLST) and identified putative antimicrobial resistance genes using NCBI and CARD databases, and manual annotation.

RESULTS

Of 97 isolates, 54 (56%) were resistant with standard BMD. Highest susceptibility category concordance was achieved by Rapid Polymyxin™ NP (98.8%) followed by UMIC (97.9%), Colistin E-test MIC strip (96.9%) and Vitek 2® (95.6%). Highest MIC concordance was achieved by UMIC (80.4%), followed by Vitek 2® (72.5%) and Colistin E-test MIC strip (62.9%). Among resistant isolates, 23/54 (43%) were intrinsically resistant to colistin, whereas 31/54 (57%) isolates had acquired colistin resistance. Of these, mcr-1 was detected in four isolates and mcr-2 in one isolate. Non-synonymous mutations in mgrB, phoQ, pmrA, pmrB, and pmrC genes were encountered in Klebsiella pneumoniae, Escherichia coli, and Acinetobacter bereziniae resistant isolates. Mutations found in mgrB and pmrB were only identified in isolates exhibiting MICs of ≥16 mg/L.

CONCLUSIONS

The Rapid Polymyxin™ NP test showed highest categorical concordance and the UMIC test provided MIC values with high concordance to BMD. We found colistin resistance in diverse species occurred predominantly through spontaneous chromosomal mutation rather than plasmid-mediated resistance.

摘要

背景

多黏菌素用于对抗多种耐药病原体,但由于质粒介导基因(mcr)的传播或参与脂多糖合成的基因(即 mgrB、phoPQ、pmrCAB)的染色体突变,导致出现耐药性。由于多黏菌素在琼脂培养基中的扩散不良,表型药敏试验具有挑战性,导致耐药性被低估。本研究比较了五种表型方法在不同耐药机制下的性能。我们评估了 Vitek 2®(生物梅里埃,AST N242)、多黏菌素 MIC 测试条(利奥菲尔切姆诊断)、UMIC(生物中心)和 Rapid Polymyxin™ NP 测试(ELITechGroup)与标准肉汤微量稀释(BMD)方法的比较。我们使用全基因组测序(WGS)来推断分子耐药机制。我们分析了 97 株肠杆菌科和非发酵细菌分离株,主要是截至 2018 年收集的临床分离株。通过比较药敏类别(敏感或耐药)和最小抑菌浓度(MIC)来分析数据。药敏类别一致性是指测试结果与 BMD 相同类别的百分比。MIC 一致性的计算方法类似,但考虑到 ±1 MIC 滴度误差范围。我们通过核心基因组多位点测序分型(cgMLST)确定基因组多样性,并使用 NCBI 和 CARD 数据库以及手动注释来识别潜在的抗菌药物耐药基因。

结果

在 97 株分离株中,54 株(56%)对标准 BMD 耐药。Rapid Polymyxin™ NP 的药敏类别一致性最高(98.8%),其次是 UMIC(97.9%)、Colistin E-test MIC 条(96.9%)和 Vitek 2®(95.6%)。UMIC 的 MIC 一致性最高(80.4%),其次是 Vitek 2®(72.5%)和 Colistin E-test MIC 条(62.9%)。在耐药分离株中,23/54(43%)对多黏菌素固有耐药,31/54(57%)分离株获得了多黏菌素耐药性。其中,4 株分离株检测到 mcr-1,1 株分离株检测到 mcr-2。在对多黏菌素耐药的肺炎克雷伯菌、大肠杆菌和鲍曼不动杆菌分离株中发现了 mgrB、phoQ、pmrA、pmrB 和 pmrC 基因的非同义突变。仅在 MIC 为≥16mg/L 的分离株中发现 mgrB 和 pmrB 基因的突变。

结论

Rapid Polymyxin™ NP 试验显示出最高的分类一致性,而 UMIC 试验提供了与 BMD 高度一致的 MIC 值。我们发现,多黏菌素耐药在多种物种中主要通过染色体突变而不是质粒介导的耐药发生。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/df5f/8605564/98c78c05aa6a/12866_2021_2388_Fig1_HTML.jpg

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