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RESEARCH PRODUCT

Acute Phase Proteins Are Baseline Predictors of Tuberculosis Treatment Failure

Vijay ViswanathanHardy KornfeldKadar MoideenNathella Pavan KumarKannan ThiruvengadamSubash BabuSubash BabuShanmugam SivakumarSyed HissarArul Nancy

subject

AdultMalemedicine.medical_specialtyTuberculosisImmunologyAntitubercular AgentsSystemic inflammationGastroenterologyCohort StudiesInternal medicinemedicineHumansImmunology and AllergyProspective StudiesTreatment FailureTuberculosis PulmonaryOriginal ResearchHaptoglobinsbiologybusiness.industryHaptoglobinAcute-phase proteinArea under the curveRC581-607Middle Agedmedicine.diseasePregnancy-Associated alpha 2-MacroglobulinsMacroglobulinSerum Amyloid P-ComponentC-Reactive ProteintuberculosisROC CurveinflammationTB treatmentacute phase proteinsbiology.proteinbiomarkerSputumBiomarker (medicine)FemaleImmunologic diseases. Allergymedicine.symptombusinessBiomarkersAcute-Phase Proteins

description

Systemic inflammation is a characteristic feature of pulmonary tuberculosis (PTB). Whether systemic inflammation is associated with treatment failure in PTB is not known. Participants, who were newly diagnosed, sputum smear and culture positive individuals with drug-sensitive PTB, were treated with standard anti-tuberculosis treatment and classified as having treatment failure or microbiological cure. The plasma levels of acute phase proteins were assessed at baseline (pre-treatment). Baseline levels of C-reactive protein (CRP), alpha-2 macroglobulin (a2M), Haptoglobin and serum amyloid P (SAP) were significantly higher in treatment failure compared to cured individuals. ROC curve analysis demonstrated the utility of these individual markers in discriminating treatment failure from cure. Finally, combined ROC analysis revealed high sensitivity and specificity of 3 marker signatures comprising of CRP, a2M and SAP in distinguishing treatment failure from cured individuals with a sensitivity of 100%, specificity of 100% and area under the curve of 1. Therefore, acute phase proteins are very accurate baseline predictors of PTB treatment failure. If validated in larger cohorts, these markers hold promise for a rapid prognostic testing for adverse treatment outcomes in PTB.

https://doi.org/10.3389/fimmu.2021.731878