Morosi Lavinia, Golzato Davide, Bussini Linda, Guma Hygerda, Tordato Federica, Armanini Federica, Asif Zian, Carella Francesco, Morelli Paola, Bartoletti Michele, Da Rin Giorgio, Casari Erminia, Martano Giuseppe, Rescigno Maria, Segata Nicola, Carloni Sara, Cento Valeria
IRCCS Humanitas Research Hospital, Rozzano, Italy.
Department CIBIO, University of Trento, Trento, Italy.
Front Microbiol. 2024 Dec 18;15:1480322. doi: 10.3389/fmicb.2024.1480322. eCollection 2024.
is a significant public health concern due to the emergence of antibiotic-resistant strains. Cefiderocol (FDC), a novel siderophore cephalosporin, has shown promise as a last-line treatment for multidrug-resistant Gram-negative bacteria. However, the emergence of -acquired FDC-resistant strains highlights the need for advanced tools to identify resistance-associated genomic mutations and address the challenges of FDC susceptibility testing. This study aims to characterize a novel mutation responsible for FDC resistance in and to develop a workflow that integrates genomic and functional analyses for improved antimicrobial resistance monitoring. We examined two carbapenem-resistant isolates from bacteremia cases in two patients (_5406 from patient A and _5577 from patient B). Initial whole-genome sequence BLAST typing identified both as the same strain. However, a minimum inhibitory concentration (MIC) analysis showed that _5406 was resistant to FDC, while _5577 was not. Further variant calling analysis revealed a novel chromosomal mutation in a gene encoding a TonB-dependent receptor homolog, which is involved in ferric-siderophore and heme uptake. This mutation causes a premature stop codon, likely impairing the receptor's function. Mass spectrometry confirmed that the FDC-resistant strain exhibited reduced antibiotic uptake and intracellular accumulation. This study demonstrates the utility of combining genomic and functional analyses to detect emerging mutations associated with antibiotic resistance. The variant calling approach, together with LC-MS/MS technology, offers a valuable complement to traditional susceptibility testing in clinical settings, potentially improving the identification and monitoring of FDC resistance in . Additionally, this workflow could aid in the epidemiological tracking of resistant strains.
由于抗生素耐药菌株的出现,这是一个重大的公共卫生问题。头孢地尔(FDC)是一种新型的铁载体头孢菌素,已显示出作为耐多药革兰氏阴性菌的一线治疗药物的潜力。然而,获得性FDC耐药菌株的出现凸显了需要先进工具来识别与耐药相关的基因组突变并应对FDC药敏试验的挑战。本研究旨在鉴定导致对FDC耐药的新型突变,并开发一种整合基因组和功能分析的工作流程,以改进抗菌药物耐药性监测。我们检查了两名患者菌血症病例中的两种耐碳青霉烯类分离株(患者A的_5406和患者B的_5577)。最初的全基因组序列BLAST分型确定两者为同一菌株。然而,最低抑菌浓度(MIC)分析表明,_5406对FDC耐药,而_5577不耐药。进一步的变异检测分析揭示了一个编码TonB依赖性受体同源物的基因中的新型染色体突变,该受体参与铁载体和血红素的摄取。这种突变导致提前终止密码子,可能损害受体的功能。质谱分析证实,FDC耐药菌株的抗生素摄取和细胞内积累减少。本研究证明了结合基因组和功能分析来检测与抗生素耐药性相关的新出现突变的实用性。变异检测方法与LC-MS/MS技术一起,为临床环境中的传统药敏试验提供了有价值的补充,有可能改善对FDC耐药性的鉴定和监测。此外,这个工作流程有助于对抗耐药菌株进行流行病学追踪。