UNVEILING THE PROTEOMIC LANDSCAPE OF MOLECULAR MECHANISM IN MULTIDRUG RESISTANT TUBERCULOSIS: A PROMISING APPROACH FOR NOVEL TREATMENT STRATEGIES
DOI:
https://doi.org/10.4238/0gty5918Keywords:
Tuberculosis, multidrug resistance, proteomics, mass spectrometry, drug resistance pathways, high throughput proteomics, proteogenomics, metaproteomics, personalized medicine.Abstract
Multidrug-resistant tuberculosis (MDR-TB) is a significant obstacle to global health, requiring innovative approaches for its management and treatment. Proteomics is a very effective method for thoroughly examining the proteins in a cell and understanding their activities. It has become a promising approach for uncovering the molecular pathways concomitant with treatment resistance in Mycobacterium tuberculosis (Mtb). This review examines the modern proteome methodology used to investigate multidrug-resistant tuberculosis (MDR-TB), with a specific emphasis on improvements in mass spectrometry-based techniques, high-throughput proteomic technologies, and integrated omics approaches. Mass spectrometry enables the identification and measurement of proteins, allowing for the comparison of drug-sensitive & drug-resistant Mtb strains. High-throughput proteomic technologies, including protein microarrays and interactomics, provide insights into protein-protein interactions and signaling networks implicated in drug resistance. Integration with multi-omics data sets, such as proteogenomics and Metaproteomics, enhances our understanding of the molecular mechanisms underlying MDR-TB. Furthermore, proteomic studies have identified potential druggable targets and repurposable compounds for overcoming drug resistance in TB. This comprehensive review highlights the significance of proteomics in deciphering the complexities of MDR-TB and underscores its potential for guiding the development of personalized treatment strategies.
Downloads
Published
Issue
Section
License

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

