| Literature DB >> 22710249 |
Harshini Mukundan1, Sandeep Kumar, Dominique N Price, Sonja M Ray, Ye-Jin Lee, Seonyeong Min, Seokyong Eum, Jessica Kubicek-Sutherland, Jesse M Resnick, W Kevin Grace, Aaron S Anderson, Soo Hee Hwang, Sang Nae Cho, Laura E Via, Clifton Barry, Ramamurthy Sakamuri, Basil I Swanson.
Abstract
Early diagnosis of active tuberculosis (TB) remains an elusive challenge, especially in individuals with disseminated TB and HIV co-infection. Recent studies have shown a promise for the direct detection of pathogen-specific biomarkers such as lipoarabinomannan (LAM) for the diagnosis of TB in HIV-positive individuals. Currently, traditional immunoassay platforms that suffer from poor sensitivity and high non-specific interactions are used for the detection of such biomarkers. In this manuscript, we demonstrate the development of sandwich immunoassays for the direct detection of three TB-specific biomarkers, namely LAM, early secretory antigenic target 6 (ESAT6) and antigen 85 complex (Ag85), using a waveguide-based optical biosensor platform. Combining detection within the evanescent field of a planar optical waveguide with functional surfaces that reduce non-specific interactions allows for the ultra-sensitive and quantitative detection of biomarkers (an order of magnitude enhanced sensitivity, as compared to plate-based ELISA) in complex patient samples (urine, serum) within a short time. We also demonstrate the detection of LAM in urine from a small sample of subjects being treated for TB using this approach with excellent sensitivity and 100% corroboration with disease status. These results suggest that pathogen-specific biomarkers can be applied for the rapid and effective diagnosis of disease. It is likely that detection of a combination of biomarkers offers greater reliability of diagnosis, rather than detection of any single pathogen biomarker. NCT00341601.Entities:
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Year: 2012 PMID: 22710249 PMCID: PMC3432392 DOI: 10.1016/j.tube.2012.05.009
Source DB: PubMed Journal: Tuberculosis (Edinb) ISSN: 1472-9792 Impact factor: 3.131