Spatial Proteomics of Tuberculosis Revealing Molecular Mechanisms of Pulmonary Lesions

Tuberculosis, caused by Mycobacterium tuberculosis, poses a serious threat to global public health. Despite the availability of many anti-tuberculosis drugs and vaccines, the complex pathogenesis of tuberculosis makes it difficult to cure. In recent years, tuberculosis spatial proteomics, as an emerging technology, has provided a new perspective for understanding the molecular mechanism of pulmonary tuberculosis.

 

Principles and Applications of Tuberculosis Spatial Proteomics

1. Overview of Tuberculosis Spatial Proteomics

Tuberculosis spatial proteomics is a proteomic method based on mass spectrometry technology that can quantitatively analyze the expression levels of proteins in tuberculosis lesions. By comparing the differences in protein expression between normal tissue and tuberculosis lesions, key proteins related to the pathogenesis of tuberculosis can be identified.

 

2. Sample Collection and Preprocessing

The collection and preprocessing of samples are particularly important in the study of tuberculosis spatial proteomics. The collected tissues or cells should come from patients with different disease courses and clinical types to reflect the diversity of pulmonary tuberculosis lesions. The preprocessing steps include protein extraction, digestion, and purification, ensuring high-quality proteins in the sample before mass spectrometry analysis.

 

Application of Tuberculosis Spatial Proteomics in Pulmonary Tuberculosis Lesion Research

1. Identification of Inflammatory Factors

The formation of pulmonary tuberculosis lesions is closely related to the inflammatory response. Through the analysis of tuberculosis spatial proteomics, inflammatory factors such as interleukin and tumor necrosis factor, whose expression levels are significantly up-regulated in lesion tissues, can be identified, providing clues to clarify the details of the inflammatory process.

 

2. Immune Evasion Mechanism

Mycobacterium tuberculosis has a sophisticated immune evasion mechanism, making it difficult for the body to effectively clear pathogens. Tuberculosis spatial proteomics can reveal protein changes that affect the host's immune response after infection with Mycobacterium tuberculosis, helping to find new targets for intervening in immune evasion.

 

3. Discovery of New Biologics

By combining the results of tuberculosis spatial proteomics and other bioinformatics technologies, scientists can discover potential biomarkers closely related to the pathogenesis of tuberculosis and develop new biologics for the treatment of tuberculosis.

 

As a powerful tool, tuberculosis spatial proteomics provides a new way to reveal the molecular mechanism of pulmonary tuberculosis lesions. By gaining a deeper understanding of the changes in proteins in lesion tissues, we can better understand the pathogenesis of tuberculosis, providing strong support for the development of new treatment strategies and biologics.