Please use this identifier to cite or link to this item: http://cmuir.cmu.ac.th/jspui/handle/6653943832/66607
Title: Sandwich antibody-based biosensor system for identification of Mycobacterium tuberculosis complex and nontuberculous mycobacteria
Authors: Kantinan Chuensirikulchai
Witida Laopajon
Ponrut Phunpae
Napaporn Apiratmateekul
Sirirat Surinkaew
Chatchai Tayapiwatana
Supansa Pata
Watchara Kasinrerk
Keywords: Biochemistry, Genetics and Molecular Biology
Health Professions
Immunology and Microbiology
Medicine
Issue Date: 1-Jan-2019
Abstract: © 2019, © 2019 Taylor & Francis. Mycobacterial infection, leading to pulmonary disease, remains a world health problem. Clinical symptoms of pulmonary disease caused by Mycobacterium tuberculosis complex (MTBC) and nontuberculous mycobacteria (NTM) are very similar. A rapid method for the differentiation of MTBC and NTM infection is essential for appropriate therapy. In this study, we aim to establish an antibody-based biosensor system for the identification of MTBC and NTM infection. Monoclonal antibodies (mAbs) specific for Ag85B proteins of mycobacteria were generated and characterized. The generated anti-Ag85B mAb clones AM85B-5 and AM85B-8 reacted to Ag85B of Mycobacterium spp.; in contrast, clone AM85B-9 specifically reacted to Ag85B of MTBC. By employing the produced mAbs, single and sandwich antibody-based biosensors using bio-layer interferometry were established for determination of Ag85B proteins. The sandwich antibody-based biosensor system was demonstrated to be suitable for detection of Ag85B protein and identification of MTBC and NTM. Using anti-Ag85B mAbs AM85B-8 and AM85B-9 as immobilized antibodies on sensor chips and using mAb AM85B-5 as secondary antibody, the established sandwich antibody-based biosensor could discriminate MTBC and NTM. The developed biosensor system can be used for culture confirmation of mycobacteria and speciation to MTBC and NTM.
URI: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85071316656&origin=inward
http://cmuir.cmu.ac.th/jspui/handle/6653943832/66607
ISSN: 15324230
15321819
Appears in Collections:CMUL: Journal Articles

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