Publication: Comparative proteomics of activated THP-1 cells infected with mycobacterium tuberculosis identifies putative clearance biomarkers for tuberculosis treatment
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Issued Date
2015-07-27
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ISSN
19326203
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2-s2.0-84941695656
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Mahidol University
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SCOPUS
Bibliographic Citation
PLoS ONE. Vol.10, No.7 (2015)
Suggested Citation
Benjawan Kaewseekhao, Vivek Naranbhai, Sittiruk Roytrakul, Wises Namwat, Atchara Paemanee, Viraphong Lulitanond, Angkana Chaiprasert, Kiatichai Faksri Comparative proteomics of activated THP-1 cells infected with mycobacterium tuberculosis identifies putative clearance biomarkers for tuberculosis treatment. PLoS ONE. Vol.10, No.7 (2015). doi:10.1371/journal.pone.0134168 Retrieved from: https://repository.li.mahidol.ac.th/handle/123456789/35129
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Title
Comparative proteomics of activated THP-1 cells infected with mycobacterium tuberculosis identifies putative clearance biomarkers for tuberculosis treatment
Abstract
©2015 Kaewseekhao et al. Biomarkers for determining clearance of Mycobacterium tuberculosis (Mtb) infection during anti-tuberculosis therapy or following exposure could facilitate enhanced monitoring and treatment.We screened for biomarkers indicating clearance of Mtb infection in vitro. A comparative proteomic analysis was performed using GeLC MSI/MS. Intracellular and secreted proteomes from activated THP-1 cells infected with the Mtb H37Rv strain (MOI = 1) and treated with isoniazid and rifampicin for 1 day (infection stage) and 5 days (clearance stage) were analyzed. Host proteins associated with early infection (n = 82), clearance (n = 121), sustained in both conditions (n = 34) and suppressed by infection (n = 46) were elucidated. Of the potential clearance markers, SSFA2 and CAECAM18 showed the highest and lowest protein intensities, respectively. A western blot of CAECAM18 validated the LC MS/MS result. For three clearance markers (SSFA2, PARP14 and PSME4), in vivo clinical validation was concordantly reported in previous patient cohorts. A network analysis revealed that clearance markers were enriched amongst four protein interaction networks centered on: (i) CD44/CCND1, (ii) IFN-β1/NF-κB, (iii) TP53/TGF-β and (iv) IFN- γ/CCL2. After infection, proteins associated with proliferation, and recruitment of immune cells appeared to be enriched possibly reflecting recruitment of defense mechanisms. Counteracting proteins (CASP3 vs. Akt and NF-κB vs. TP53) associated with apoptosis regulation and its networks were enriched among the early and sustained infection biomarkers, indicating host-pathogen competition. The BRCA1/2 network was suppressed during infection, suggesting that cell proliferation suppression is a feature of Mtb survival. Our study provides insights into the mechanisms of host-Mtb interaction by comparing the stages of infection clearance. The identified clearance biomarkers may be useful in monitoring tuberculosis treatment.