ISSN: 0973-7510

E-ISSN: 2581-690X

Research Article | Open Access
Ajay Kumar1, Kiran Chawla2, Rupesh Thakur3, Manjunath B. Joshi4,Kapaettu Satyamoorthy4 and Dakshina Bisht1*
1Department of Microbiology, Santosh Medical College and Hospital, Santosh Deemed to be University, NCR Delhi, India.
2Department of Microbiology, Kasturba Medical College, Manipal Academy of Higher Education, Manipal, India.
3School of Life & Allied Science, ITM University, Atal Nagar, Raipur, C.G., India.
4School of Life Sciences, Manipal Academy of Higher Education, Manipal, India.
J Pure Appl Microbiol, 2019, 13 (2): 1235-1244| Article Number: 5562
Received: 05/04/2019 | Accepted: 20/05/2019 | Published: 28/06/2019
Abstract

Circulating immune complexes (CIC’s) are associated with disease progression in Tuberculosis (TB) though their role in pathogenesis is still unclear. Hence the present study was undertaken to identify proteins of diagnostic potential in tuberculosis by proteomic profiling of CIC’s. Serum samples from tuberculosis patients (n=28), latent TB (n=10) and healthy (n=15) individuals were collected and CIC’s levels were estimated by ELISA. CIC’s were isolated by 7% Polyethylene Glycol precipitation and were subjected to proteomic analysis. Bioinformatic analysis and functional annotation of identified proteins was performed using Mascot search engine and PANTHER respectively. Identified protein was validated by ELISA. Statistical analysis was performed with SPSS version 16 and Graph pad prism 5. The mean CIC concentration in TB, latent TB and healthy individuals was found to be 38.23±11.45, 24.43±15.09, and 8.61±2.47µg/ml respectively. A total of 74, 48 and 60 proteins were identified in CIC’s from of TB, latent TB and healthy individuals respectively. Among identified proteins the sensitivity, specificity, positive predictive value, negative predictive value and accuracy of C1qC to distinguishing TB patients from controls (with respect to both latent TB and healthy controls) was found to be 87.18% , 93.33%, 94.44%, 84.85% and 89.86% respectively. Our exploratory analysis suggests that immune-complex based assays might provide better alternate to invasive diagnostic techniques especially in diagnosis of extra pulmonary TB. However, further elaborate studies are required.

Keywords

Immune complexes, Mass Spectrometry, Proteomics, Tuberculosis

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© The Author(s) 2019. Open Access. This article is distributed under the terms of the Creative Commons Attribution 4.0 International License which permits unrestricted use, sharing, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.