Decoding the similarities and specific differences between latent and active tuberculosis infections based on
Jun Sun1, Qianqian Shi1, Xi Chen2,3
1Hubei Key Laboratory of Agricultural Bioinformatics, College of Informatics, Huazhong Agricultural University, Wuhan 430070, China.
Briefings in Bioinformatics
|November 15, 2019
Summary
This study identifies key gene pairs differentiating latent tuberculosis (LTB) from active pulmonary tuberculosis (PTB), revealing distinct host responses and potential drug targets for each stage of tuberculosis.
Area of Science:
- Genomics
- Immunology
- Bioinformatics
Background:
- Host responses in latent tuberculosis (LTB) and active pulmonary tuberculosis (PTB) are not fully understood.
- Identifying informative genes for LTB has been challenging with traditional methods.
Purpose of the Study:
- To develop a novel framework for identifying gene pairs associated with PTB and LTB.
- To elucidate the differences and similarities in host responses between LTB and PTB.
Main Methods:
- Developed a consistently differential expression network framework.
- Integrated microarray profiles and protein-protein interaction data.
- Analyzed gene expression, correlation, and pathway enrichment.
Main Results:
- Identified 774 PTB-specific and 693 LTB-specific gene pairs.
- PTB-related genes exhibited higher expression and fold-changes than LTB-related genes.
- Distinct pathway enrichment and NF-κB signaling pathway localization were observed between LTB and PTB genes.
Conclusions:
- The identified gene pairs can differentiate between LTB and PTB disease stages.
- These gene pairs represent potential therapeutic targets for specific tuberculosis treatments.
Keywords:
active tuberculosisdifferential interactiondrug repurposinggene expression correlationlatent tuberculosisMore Related Videos
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