Nithimongkolchai Nut, Hinwan Yothin, Trisakul Kanwara, Wonglakorn Lumyai, Chetchotisakd Ploenchan, Sirichoat Auttawit, Nithichanon Arnone, Chareonsudjai Sorujsiri, Chareonsudjai Pisit, Phelan Jody, Clark Taane G, Faksri Kiatichai
Department of Microbiology, Faculty of Medicine, Khon Kaen University, Khon Kaen, 40002, Thailand.
Research and Diagnostic Center for Emerging Infectious Diseases (RCEID), Khon Kaen University, Khon Kaen, Thailand.
Sci Rep. 2025 Jul 1;15(1):21867. doi: 10.1038/s41598-025-07687-y.
Antibiotic resistance in Burkholderia pseudomallei (Bp) is a growing public health concern requiring urgent attention. Matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS) has emerged as a rapid bacterial identification tool with potential for future diagnostic applications. This study investigates differences in MALDI-TOF spectra of antibiotic-resistant Bp strains from northeastern Thailand without any pretreatment steps. A total of 300 Bp isolates were tested for minimum inhibitory concentration (MIC) values against five antibiotics: ceftazidime, meropenem, imipenem, co-amoxiclav, and co-trimoxazole. MALDI-TOF spectra were obtained using the direct colony method and analysed for correlations with antibiotic resistance patterns. Thirteen isolates exhibited resistance based on CLSI breakpoints, with most showing low-level MICs across all tested antibiotics. MALDI-TOF MS analysis revealed clustering patterns associated with resistance. A decision tree algorithm identified ten significant peaks that effectively distinguished resistant isolates. This study highlights MALDI-TOF MS as a rapid and reliable tool for detecting antibiotic resistance, offering timely results to support treatment decisions and streamline microbiology workflows.
类鼻疽伯克霍尔德菌(Bp)的抗生素耐药性是一个日益严重的公共卫生问题,需要紧急关注。基质辅助激光解吸/电离飞行时间质谱(MALDI-TOF MS)已成为一种快速的细菌鉴定工具,具有未来诊断应用的潜力。本研究调查了来自泰国东北部未经任何预处理步骤的耐抗生素Bp菌株的MALDI-TOF光谱差异。总共对300株Bp分离株进行了针对五种抗生素的最低抑菌浓度(MIC)值测试:头孢他啶、美罗培南、亚胺培南、阿莫西林克拉维酸和复方新诺明。使用直接菌落法获得MALDI-TOF光谱,并分析其与抗生素耐药模式的相关性。根据CLSI断点,有13株分离株表现出耐药性,大多数在所有测试抗生素中显示出低水平的MIC。MALDI-TOF MS分析揭示了与耐药性相关的聚类模式。一种决策树算法识别出十个有效区分耐药分离株的显著峰。本研究强调MALDI-TOF MS作为检测抗生素耐药性的快速可靠工具,能提供及时结果以支持治疗决策并简化微生物学工作流程。