Stöckel Stephan, Meisel Susann, Lorenz Björn, Kloß Sandra, Henk Sandra, Dees Stefan, Richter Elvira, Andres Sönke, Merker Matthias, Labugger Ines, Rösch Petra, Popp Jürgen
Institute of Physical Chemistry and Abbe Center of Photonics, Friedrich Schiller University of Jena, Helmholtzweg 4, 07743, Jena, Germany.
InfectoGnostics Forschungscampus Jena, Philosophenweg 7, 07743, Jena, Germany.
J Biophotonics. 2017 May;10(5):727-734. doi: 10.1002/jbio.201600174. Epub 2016 Oct 7.
In this study, Raman microspectroscopy has been utilized to identify mycobacteria to the species level. Because of the slow growth of mycobacteria, the per se cultivation-independent Raman microspectroscopy emerges as a perfect tool for a rapid on-the-spot mycobacterial diagnostic test. Special focus was laid upon the identification of Mycobacterium tuberculosis complex (MTC) strains, as the main causative agent of pulmonary tuberculosis worldwide, and the differentiation between pathogenic and commensal nontuberculous mycobacteria (NTM). Overall the proposed model considers 26 different mycobacteria species as well as antibiotic susceptible and resistant strains. More than 8800 Raman spectra of single bacterial cells constituted a spectral library, which was the foundation for a two-level classification system including three support vector machines. Our model allowed the discrimination of MTC samples in an independent validation dataset with an accuracy of 94% and could serve as a basis to further improve Raman microscopy as a first-line diagnostic point-of-care tool for the confirmation of tuberculosis disease.
在本研究中，拉曼显微光谱已被用于将分枝杆菌鉴定到种水平。由于分枝杆菌生长缓慢，本身无需培养的拉曼显微光谱成为快速现场分枝杆菌诊断测试的理想工具。特别关注了结核分枝杆菌复合群（MTC）菌株的鉴定，因为它是全球肺结核的主要病原体，以及致病性和共生非结核分枝杆菌（NTM）之间的区分。总体而言，所提出的模型考虑了26种不同的分枝杆菌物种以及抗生素敏感和耐药菌株。超过8800个单个细菌细胞的拉曼光谱构成了一个光谱库，这是一个包括三个支持向量机的两级分类系统的基础。我们的模型能够在独立验证数据集中以94%的准确率区分MTC样本，并可作为进一步改进拉曼显微镜作为确认结核病的一线即时诊断护理点工具的基础。
