Publication:
Comparative proteomics of activated THP-1 cells infected with mycobacterium tuberculosis identifies putative clearance biomarkers for tuberculosis treatment

dc.contributor.authorBenjawan Kaewseekhaoen_US
dc.contributor.authorVivek Naranbhaien_US
dc.contributor.authorSittiruk Roytrakulen_US
dc.contributor.authorWises Namwaten_US
dc.contributor.authorAtchara Paemaneeen_US
dc.contributor.authorViraphong Lulitanonden_US
dc.contributor.authorAngkana Chaipraserten_US
dc.contributor.authorKiatichai Faksrien_US
dc.contributor.otherKhon Kaen Universityen_US
dc.contributor.otherNuffield Department of Clinical Medicineen_US
dc.contributor.otherThe Nelson R. Mandela Medical Schoolen_US
dc.contributor.otherThailand National Center for Genetic Engineering and Biotechnologyen_US
dc.contributor.otherMahidol Universityen_US
dc.date.accessioned2018-11-23T09:30:01Z
dc.date.available2018-11-23T09:30:01Z
dc.date.issued2015-07-27en_US
dc.description.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.en_US
dc.identifier.citationPLoS ONE. Vol.10, No.7 (2015)en_US
dc.identifier.doi10.1371/journal.pone.0134168en_US
dc.identifier.issn19326203en_US
dc.identifier.other2-s2.0-84941695656en_US
dc.identifier.urihttps://repository.li.mahidol.ac.th/handle/20.500.14594/35129
dc.rightsMahidol Universityen_US
dc.rights.holderSCOPUSen_US
dc.source.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84941695656&origin=inwarden_US
dc.subjectAgricultural and Biological Sciencesen_US
dc.subjectBiochemistry, Genetics and Molecular Biologyen_US
dc.subjectMedicineen_US
dc.titleComparative proteomics of activated THP-1 cells infected with mycobacterium tuberculosis identifies putative clearance biomarkers for tuberculosis treatmenten_US
dc.typeArticleen_US
dspace.entity.typePublication
mu.datasource.scopushttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84941695656&origin=inwarden_US

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