Meta-analysis of human gene expression in response to Mycobacterium tuberculosis infection reveals potential therapeutic targets

Background With the global emergence of multi-drug resistant strains of Mycobacterium tuberculosis, new strategies to treat tuberculosis are urgently needed such as therapeutics targeting potential human host factors. Results Here we performed a statistical meta-analysis of human gene expression in response to both latent and active pulmonary tuberculosis infections from nine published datasets. We found 1655 genes that were significantly differentially expressed during active tuberculosis infection. In contrast, no gene was significant for latent tuberculosis. Pathway enrichment analysis identified 90 significant canonical human pathways, including several pathways more commonly related to non-infectious diseases such as the LRRK2 pathway in Parkinson’s disease, and PD-1/PD-L1 signaling pathway important for new immuno-oncology therapies. The analysis of human genome-wide association studies datasets revealed tuberculosis-associated genetic variants proximal to several genes in major histocompatibility complex for antigen presentation. We propose several new targets and drug-repurposing opportunities including intravenous immunoglobulin, ion-channel blockers and cancer immuno-therapeutics for development as combination therapeutics with anti-mycobacterial agents. Conclusions Our meta-analysis provides novel insights into host genes and pathways important for tuberculosis and brings forth potential drug repurposing opportunities for host-directed therapies. Electronic supplementary material The online version of this article (doi: 10.1186/s12918-017-0524-z) contains supplementary material, which is available to authorized users.

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PID https://www.doi.org/10.1186/s12918-017-0524-z
PID pmc:PMC5763539
PID pmid:29321020
URL https://dx.doi.org/10.1186/s12918-017-0524-z
URL https://doaj.org/toc/1752-0509
URL https://link.springer.com/article/10.1186%2Fs12918-017-0524-z
URL https://bmcsystbiol.biomedcentral.com/articles/10.1186/s12918-017-0524-z
URL https://mouseion.jax.org/stfb2018/20/
URL https://pubmed.ncbi.nlm.nih.gov/29321020
URL https://doi.org/10.1186/s12918-017-0524-z
URL http://europepmc.org/articles/PMC5763539
URL http://link.springer.com/article/10.1186/s12918-017-0524-z
URL https://academic.microsoft.com/#/detail/2782795252
URL http://dx.doi.org/10.1186/s12918-017-0524-z
URL https://bmcsystbiol.biomedcentral.com/track/pdf/10.1186/s12918-017-0524-z
URL https://www.ncbi.nlm.nih.gov/pubmed/29321020
URL http://link.springer.com/content/pdf/10.1186/s12918-017-0524-z.pdf
URL https://dblp.uni-trier.de/db/journals/bmcsb/bmcsb12.html#WangAMB18
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Access Right Open Access
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Author Seda Arat, 0000-0002-3988-1947
Author James Brown, 0000-0002-9368-627X
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Collected From Europe PubMed Central; PubMed Central; ORCID; Datacite; UnpayWall; DOAJ-Articles; Crossref; Microsoft Academic Graph
Hosted By Europe PubMed Central; BMC Systems Biology
Journal BMC Systems Biology, ,
Publication Date 2018-01-10
Publisher BMC
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Language English
Resource Type Other literature type; Article; UNKNOWN
keyword Parkinson’s disease
system:type publication
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Source https://science-innovation-policy.openaire.eu/search/publication?articleId=dedup_wf_001::405c872147ccadccfc043168278e0fd9
Author jsonws_user
Last Updated 25 December 2020, 04:42 (CET)
Created 25 December 2020, 04:42 (CET)