The use of multiplex imaging techniques to characterize tuberculous granuloma heterogeneity.
Ruiyao XuWei XiaoGuanggui DingJiang ZengHui LiuYi CaiXinchun ChenPublished in: WIREs mechanisms of disease (2023)
Caseous granulomas are pathological hallmarks of tuberculosis (TB), and increasing evidence suggests that TB granuloma composition is highly temporally and spatially heterogenous in both animal models and humans. Traditional pathological techniques are limited in their ability to reveal the heterogeneity present in TB granulomas. Multiplex tissue imaging tools combined with powerful, high resolution spatial analysis have enabled the detection of various cell phenotypes, aiding in the visualization of the granuloma complex and revealing the interactions between immune cells and nonimmune cells. This updated understanding of tuberculous granuloma heterogeneity offers vital insights for researchers aiming to uncover the immunoregulatory mechanisms underlying granuloma formation during TB pathogenesis. More detailed granuloma classification systems will also be of use for precision medicine, and for identifying biological targets for host-directed therapeutics in TB patients. This article is categorized under: Infectious Diseases > Genetics/Genomics/Epigenetics Infectious Diseases > Biomedical Engineering Infectious Diseases > Molecular and Cellular Physiology.
Keyphrases
- infectious diseases
- single cell
- mycobacterium tuberculosis
- high resolution
- high throughput
- end stage renal disease
- real time pcr
- chronic kidney disease
- ejection fraction
- pulmonary tuberculosis
- newly diagnosed
- machine learning
- prognostic factors
- mass spectrometry
- deep learning
- small molecule
- cell cycle arrest
- genome wide
- cell death
- bone marrow
- stem cells
- cell proliferation
- emergency department
- cell therapy
- mesenchymal stem cells
- hepatitis c virus
- adverse drug
- patient reported