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Herein, we developed a framework known as the consistently differential expression network to identify tuberculosis (TB)-related gene pairs by combining microarray profiles and protein\u2013protein interactions. We thus obtained 774 and 693 pairs corresponding to the PTB and LTB stages, respectively. The PTB-specific genes showed higher expression values and fold-changes than the LTB-specific genes. Furthermore, the PTB-related pairs generally had higher expression correlations and would be more activated compared to their LTB-related counterparts. The module analysis implied that the detected gene pairs tended to cluster in the topological and functional modules. Functional analysis indicated that the LTB- and PTB-specific genes were enriched in different pathways and had remarkably different locations in the NF-\u03baB signaling pathway. Finally, we showed that the identified genes and gene pairs had the potential to distinguish TB patients in different disease stages and could be considered as drug targets for the specific treatment of patients with LTB or PTB.<\/jats:p>","DOI":"10.1093\/bib\/bbz127","type":"journal-article","created":{"date-parts":[[2019,9,9]],"date-time":"2019-09-09T19:26:34Z","timestamp":1568057194000},"page":"2084-2098","source":"Crossref","is-referenced-by-count":6,"title":["Decoding the similarities and specific differences between latent and active tuberculosis infections based on consistently differential expression networks"],"prefix":"10.1093","volume":"21","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-1190-3937","authenticated-orcid":false,"given":"Jun","family":"Sun","sequence":"first","affiliation":[{"name":"Hubei Key Laboratory of Agricultural Bioinformatics, College of Informatics, Huazhong Agricultural University, Wuhan 430070, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Qianqian","family":"Shi","sequence":"additional","affiliation":[{"name":"Hubei Key Laboratory of Agricultural Bioinformatics, College of Informatics, Huazhong Agricultural University, Wuhan 430070, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xi","family":"Chen","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Agricultural Microbiology, Huazhong Agricultural University, Wuhan 430070, China"},{"name":"College of Veterinary Medicine, Huazhong Agricultural University, Wuhan 430070, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Rong","family":"Liu","sequence":"additional","affiliation":[{"name":"Hubei Key Laboratory of Agricultural Bioinformatics, College of Informatics, Huazhong Agricultural University, Wuhan 430070, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"286","published-online":{"date-parts":[[2019,11,13]]},"reference":[{"key":"2020120619073339700_ref1","doi-asserted-by":"crossref","first-page":"845","DOI":"10.1038\/nrmicro2236","article-title":"The spectrum of latent tuberculosis: rethinking the biology and intervention strategies","volume":"7","author":"Barry","year":"2009","journal-title":"Nat Rev Microbiol"},{"key":"2020120619073339700_ref2","doi-asserted-by":"crossref","DOI":"10.1371\/journal.pone.0025098","article-title":"Burden of new and recurrent tuberculosis in a major south African city stratified by age and HIV-status","volume":"6","author":"Wood","year":"2011","journal-title":"PLoS One"},{"key":"2020120619073339700_ref3","doi-asserted-by":"crossref","first-page":"343","DOI":"10.1038\/nri2960","article-title":"Immunological biomarkers of tuberculosis","volume":"11","author":"Walzl","year":"2011","journal-title":"Nat Rev 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