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循迹追踪:利用傅里叶变换红外光谱法和短串联重复序列分析揭示唑类耐药性爆发情况

Follow the Path: Unveiling an Azole Resistant Outbreak by FTIR Spectroscopy and STR Analysis.

作者信息

De Carolis Elena, Magrì Carlotta, Camarlinghi Giulio, Ivagnes Vittorio, Spruijtenburg Bram, Meijer Eelco F J, Scarselli Cristiano, Parisio Eva Maria, Sanguinetti Maurizio

机构信息

Dipartimento di Scienze di Laboratorio ed Ematologiche, Fondazione Policlinico Universitario "A. Gemelli" IRCCS, 00168 Roma, Italy.

Microbiology Unit, S. Donato Hospital, 52100 Arezzo, Italy.

出版信息

J Fungi (Basel). 2024 Oct 30;10(11):753. doi: 10.3390/jof10110753.

DOI:10.3390/jof10110753
PMID:39590671
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11595275/
Abstract

Accurate identification and rapid genotyping of , a significant opportunistic pathogen in healthcare settings, is crucial for managing outbreaks, timely intervention, and effective infection control measures. This study includes 24 clinical samples and 2 positive environmental surveillance swabs collected during a fluconazole-resistant outbreak at the Tuscany Rehabilitation Clinic (Clinica di Riabilitazione Toscana, CRT), located in the province of Arezzo, Italy. Fourier-transform infrared (FTIR) spectroscopy, genetic sequencing of the ERG11 gene, and short tandem repeat (STR) analysis was applied to track the fluconazole-resistant outbreak at the CRT facility. FTIR analysis clustered the isolates into two major groups, correlating with resistance-associated mutations (Y132F and R398I), azole resistance levels, and year of isolation. The combined use of FTIR spectroscopy and STR typing provided a comprehensive approach to identify and track fluconazole-resistant isolates, which identified specific clusters of genetically similar isolates. By comparison with feasible molecular techniques, we conclude that FTIR spectroscopy applied in real time can inform targeted infection control strategies and aid in the effective management of nosocomial infections.

摘要

在医疗机构中,[病原体名称]是一种重要的机会性病原体,准确识别和快速基因分型对于控制疫情爆发、及时干预以及采取有效的感染控制措施至关重要。本研究纳入了在意大利阿雷佐省托斯卡纳康复诊所(Clinica di Riabilitazione Toscana, CRT)耐氟康唑疫情爆发期间收集的24份临床样本和2份环境监测阳性拭子。采用傅里叶变换红外(FTIR)光谱、ERG11基因的基因测序以及短串联重复序列(STR)分析来追踪CRT机构的耐氟康唑疫情爆发。FTIR分析将分离株聚为两个主要组群,这与耐药相关的[病原体名称]突变(Y132F和R398I)、唑类耐药水平以及分离年份相关。FTIR光谱和STR分型的联合应用提供了一种全面的方法来识别和追踪耐氟康唑分离株,确定了基因相似分离株的特定簇群。通过与可行的分子技术比较,我们得出结论,实时应用FTIR光谱可为针对性的感染控制策略提供信息,并有助于有效管理医院感染。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d907/11595275/32dd475d91d9/jof-10-00753-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d907/11595275/baf67538d66e/jof-10-00753-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d907/11595275/87dc22f7d3de/jof-10-00753-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d907/11595275/32dd475d91d9/jof-10-00753-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d907/11595275/baf67538d66e/jof-10-00753-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d907/11595275/87dc22f7d3de/jof-10-00753-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d907/11595275/32dd475d91d9/jof-10-00753-g003.jpg

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