Public Health Research Institute, New Jersey Medical School , Rutgers, The State University of New Jersey , Newark , New Jersey 07103 , United States.
Mycobacteria Research Laboratories, Department of Microbiology, Immunology and Pathology , Colorado State University , Fort Collins , Colorado 80523 , United States.
Anal Chem. 2018 May 15;90(10):6275-6282. doi: 10.1021/acs.analchem.8b00985. Epub 2018 Apr 26.
MALDI mass-spectrometry imaging (MALDI-MSI) is a technique capable of the label-free identification and visualization of analytes in tissue sections. We have previously applied MALDI-MSI to the study of the spatial distribution of tuberculosis (TB) drugs in necrotic lung granulomas characteristic of pulmonary TB disease, revealing heterogeneous and often suboptimal drug distributions. To investigate the impact of differential drug distributions at sites of infection, we sought to image mycobacterial biomarkers to coregister drugs and bacteria in lesion sections. The traditional method of visualizing Mycobacterium tuberculosis inside lesions is acid-fast staining and microscopy. Directly analyzing and visualizing mycobacteria-specific lipid markers by MALDI-MSI provides detailed molecular information on bacterial distributions within granulomas, complementary to high-spatial-resolution staining and microscopy approaches. Moreover, spatial monitoring of molecular changes occurring in bacteria during granuloma development can potentially contribute to a greater understanding of pulmonary-TB pathogenesis. In this study, we developed a MALDI-MSI method to detect and visualize specific glycolipids of mycobacteria within TB lesions. The biomarker signal correlated well with the bacteria visualized by IHC and acid-fast staining. This observation was seen in samples collected from multiple animal models. Although individual bacteria could not be visualized because of the limit of spatial resolution (50 μm), bacterial clusters were clearly detected and heterogeneously distributed throughout lesions. The ability to visualize drugs, metabolites, and bacterial biomarkers by MALDI-MSI enabled direct colocalization of drugs with specific bacterial target populations (identifiable by distinct metabolic markers). Future applications include assessing drug activity in lesions by visualizing drug-mediated lipid changes and other drug-induced mycobacterial metabolic responses.
基质辅助激光解吸电离质谱成像(MALDI-MSI)是一种能够对组织切片中的分析物进行无标记识别和可视化的技术。我们之前应用 MALDI-MSI 研究了结核病(TB)药物在坏死性肺肉芽肿中的空间分布,这些肉芽肿是肺结核病的特征,结果显示药物分布不均匀,且通常不理想。为了研究感染部位药物分布的差异影响,我们试图通过成像分枝杆菌生物标志物将药物和细菌在病变部位进行共定位。在病变部位直接可视化结核分枝杆菌的传统方法是抗酸染色和显微镜检查。通过 MALDI-MSI 直接分析和可视化分枝杆菌特异性脂质标志物,为肉芽肿内细菌分布提供了详细的分子信息,这与高空间分辨率染色和显微镜方法相辅相成。此外,对肉芽肿形成过程中细菌发生的分子变化进行空间监测,可能有助于更深入地了解肺结核发病机制。在这项研究中,我们开发了一种 MALDI-MSI 方法来检测和可视化结核病变内分枝杆菌的特定糖脂。生物标志物信号与 IHC 和抗酸染色可视化的细菌很好地相关。这一观察结果在来自多个动物模型的样本中得到了验证。尽管由于空间分辨率的限制(50μm)无法单独观察到单个细菌,但可以清楚地检测到细菌簇,并在病变中不均匀地分布。通过 MALDI-MSI 可视化药物、代谢物和细菌生物标志物的能力,能够直接将药物与特定的细菌靶群体(通过不同的代谢标志物识别)共定位。未来的应用包括通过可视化药物介导的脂质变化和其他药物诱导的分枝杆菌代谢反应来评估病变中的药物活性。