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Development and assessment of a novel magnetic nanoparticle antibody-conjugate and aptamer-based assay (MNp-Ab-Ap assay) for the rapid diagnosis of pleural tuberculosis. | LitMetric

AI Article Synopsis

  • Pleural tuberculosis (pTB) is hard to diagnose due to vague symptoms and limited testing options, prompting the development of a new assay using magnetic nanoparticles and antibodies to detect specific antigens related to the disease.
  • The MNp-Ab-Ap assay was created by attaching antibodies to magnetic nanoparticles, enabling the capture of pTB antigens from pleural fluid, which were then identified using specialized aptamers.
  • In testing, the MPT51-based variant of the assay showed a sensitivity of 66.6% and a high specificity of 95.4%, proving to be more effective than existing methods like the Xpert MTB/RIF test, suggesting it could significantly improve pTB diagnosis.

Article Abstract

Pleural tuberculosis (pTB) is a diagnostic challenge because of its non-specific clinical features, lack of accurate diagnostic tools and paucibacillary nature of the disease. We, here describe the development of a novel magnetic nanoparticle antibody-conjugate and aptamer-based assay (MNp-Ab-Ap assay) targeting 4 different (. ) antigens (GlcB, MPT51, MPT64 and CFP-10) for pTB diagnosis. The MNp-Ab-Ap assay was developed by conjugating polyclonal antibodies on the surface of magnetic nanoparticles (MNPs) by using EDC-NHS chemistry. These conjugated MNPs were used to capture antigens present in the pleural fluid samples. The resulting antigen-antibody complex was detected by antigen-specific 5'-biotinylated aptamers. All assays were standardized using samples of the 'Development set' (n=17) and evaluated in the 'Validation set' (n=114) in a blinded manner. Patient categorization was done using a 'Composite Reference Standard'. Assay cut-offs were determined from the 'Development set' (n=17; 'Definite & Probable' pTB; n=9 and 'Non-TB'; n=8) by calculating mean+3SD of OD values of the 'Non-TB' group and applied to 'Validation set' (n=114; 'Definite' pTB; n=8, 'Probable' pTB; n=34, 'Possible' pTB; n=28 and 'Non-TB'; n=44). Out of the 4 assays, MPT51-based MNp-Ab-Ap assay performed the best with 66.6% (95%CI;50.4-80.4) sensitivity and 95.4% (95%CI;85.1-99.4) specificity in the combined 'Definite and Probable' pTB group. Xpert MTB/RIF assay detected only six samples in the 'Validation set'. Binary logistic regression analysis indicated that MPT51-based MNp-Ab-Ap assay provided an incremental advantage over the existing diagnostic algorithm for pTB. We conclude that MPT51-based MNp-Ab-Ap assay is a novel technique that can pave the way towards rapid and accurate diagnosis of pTB.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11667566PMC
http://dx.doi.org/10.7150/ntno.95332DOI Listing

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