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Exploring recombinant secretory proteins from Mycobacterium tuberculosis to develop a serological platform for tuberculosis diagnosis. | LitMetric

Exploring recombinant secretory proteins from Mycobacterium tuberculosis to develop a serological platform for tuberculosis diagnosis.

Int J Biol Macromol

Department of Central Research Laboratory, Meenakshi Ammal Dental College and Hospitals, Meenakshi Academy of Higher Education and Research, Deemed to be University, Chennai 600 095, India. Electronic address:

Published: September 2023

AI Article Synopsis

Article Abstract

The lack of a sensitive diagnostic tool for tuberculosis (TB) is the main reason for increasing cause of death in many developing countries. The routine diagnostic tests are either time-consuming or equivocal in terms of results. Hence, there is a need for quicker and accurate diagnostic tests. Certain studies have documented the usage of proteins secreted by Mycobacterium tuberculosis (MTB) in developing a sensitive tool for diagnosing TB. The study aimed to employ PPE41, MPT53, LPQH, CFP10, ESAT6 and TB18.5 proteins and analyze their usage as early diagnostic markers. The proteins were cloned, expressed, purified and applied in ELISA platforms in separate as well as combined systems to assess their early diagnostic features. The results of our study revealed that a cocktail of all six antigen combinations was identified in the maximum number of TB cases. Thus, proteins such as PPE41, MPT53, LPQH, CFP10, ESAT6, and TB18.5 incorporated detection tools could be optimized for an improvised early detection of MTB infections. Moreover, the results suggested that 95.7 % of the MTB-positive serum samples reacted with all the selected antigens of Mycobacterium tuberculosis, while the control serum samples did not react with those antigens. The hexavalent antigen system yielded a novel ELISA platform for better diagnosing MTB infections. Our study yielded a novel technology to diagnose TB, which warrants testing in clinical settings.

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Source
http://dx.doi.org/10.1016/j.ijbiomac.2023.126769DOI Listing

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