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基于快速拉曼光谱的抗菌药物耐药性检测

Rapid Raman spectroscopy-based test for antimicrobial resistance.

作者信息

Mushenkov Vladimir, Zhigalova Ksenia, Denisov Pavel, Gordeev Alexey, Lukyanov Dmitry, Kukushkin Vladimir, Priputnevich Tatiana, Zavyalova Elena

机构信息

Chemistry Department, Lomonosov Moscow State University, Moscow, Russia.

National Medical Research Center for Obstetrics, Gynecology and Perinatology named after Academician V.I. Kulakov of Ministry of Healthcare of Russian Federation, Moscow, Russia.

出版信息

Open Biol. 2025 Feb;15(2):240258. doi: 10.1098/rsob.240258. Epub 2025 Feb 26.

Abstract

Antimicrobial resistance (AMR) is one of the top global health threats. In 2019, AMR was associated with 4.95 million deaths, of which 1.97 million were caused by drug-resistant infections directly. The main subset of AMR is antibiotic resistance, that is, the resistance of bacteria to antibiotic treatment. Traditional and most commonly used antibiotic susceptibility tests are based on the detection of bacterial growth and its inhibition in the presence of an antimicrobial. These tests typically take over 1-2 days to perform, so empirical therapy schemes are often administered before proper testing. Rapid tests for AMR are necessary to optimize the treatment of bacterial infection. Here, we combine the MTT test with Raman spectroscopy to provide a 1.5 h long test for minimal inhibitory concentration determination. Several and strains were tested with three types of antibiotics, including ampicillin from penicillin family, kanamycin from aminoglycoside family and levofloxacin from fluoroquinolone family. The test provided the same minimal inhibitory concentrations as traditional Etest confirming its robustness.

摘要

抗菌药物耐药性(AMR)是全球主要的健康威胁之一。2019年,AMR导致495万人死亡,其中197万人直接死于耐药感染。AMR的主要子集是抗生素耐药性,即细菌对抗生素治疗的耐药性。传统且最常用的抗生素敏感性测试基于检测抗菌药物存在时细菌的生长及其抑制情况。这些测试通常需要1至2天才能完成,因此在进行适当检测之前,通常会采用经验性治疗方案。AMR快速检测对于优化细菌感染治疗至关重要。在此,我们将MTT试验与拉曼光谱相结合,提供了一个长达1.5小时的最低抑菌浓度测定试验。使用包括青霉素家族的氨苄西林、氨基糖苷家族的卡那霉素和氟喹诺酮家族的左氧氟沙星在内的三种抗生素对几种菌株进行了测试。该试验提供了与传统Etest相同的最低抑菌浓度,证实了其可靠性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bf7e/11858750/485c6298ca9e/rsob.240258.fg001.jpg

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