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Bioinformatics of Tuberculosis and Post-TB Lung Damage
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Author(s): Odangowei Inetiminebi Ogidi (Bayelsa Medical University, Yenagoa, Nigeria), Shoheb Shakil Shaikh (RSM's NN Sattha College of Pharmacy, Nagar, India)and Mukul Machhindra Barwant (Sanjivani Arts Commerce and Science College, Kopargaon, India)
Copyright: 2026
Pages: 42
Source title:
Next-Generation Bioinformatics for Pulmonary Disease Research
Source Author(s)/Editor(s): Devvret Verma (Graphic Era University, India), Debasis Mitra (Graphic Era University, India), Bhavya Mudgal (Graphic Era University, India), Suraj Vitthaloo Atram (The University of Sheffield, UK)and Rokayya Sami (Taif University, Saudi Arabia)
DOI: 10.4018/979-8-3373-4923-7.ch005
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Abstract
The global burden of tuberculosis stems not only from its active infectious phase but also from the enduring pulmonary sequelae collectively termed post-tuberculosis lung disease (PTLD) that can persist long after the completion of treatment. This makes tuberculosis (TB) still a worldwide health burden. The important contribution of bioinformatics to grasp the pathophysiology, diagnosis, and long-term effects of TB is investigated in this chapter. This chapter discusses computational approaches and high-throughput technologies genomics, transcriptomics, proteomics, and systems biology that have expanded our understanding of Mycobacterium tuberculosis (M.tb) biology and host-pathogen interactions. The ways in which bioinformatics techniques help to simulate immune responses that lead to PTLD, predict treatment results, and uncover biomarkers for early identification are especially underlined. Additionally discussed are the possibilities of multi-omics data, machine learning algorithms, and clinical datasets to direct individualised therapy plans and enhance post-treatment monitoring.
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