Abstract
Abstract
Background
A previous study demonstrated pleural fluid (PF) IgA immunodominance for the fused MT10.3:MPT64 protein in pleural tuberculosis (PLTB) cases. However, no clue on the role of IgA and IgG against this and other antigens in PF and serum concerning improved diagnosis is available. Thus, the aim of the present study was to validate PF IgA-MT10.3:MPT64 and evaluate PF and serum IgA and IgG reactivity against this protein, its peptides (F2) and single MPT64, MT10.3 and the PPE59 mycobacterial specific antigens. IgA and IgG ELISA were measured against the antigen in PLTB (n = 29) and other non-TB pleurisy (n = 39) patient samples.
Results
The immunodominance of PF IgA-MT10.3:MPT64 was confirmed in PLTB (86.2%) followed by PPE59 (62%), while serum IgA-F2 exhibited 51.7% sensitivity. PF and serum IgG-MT10.3:MPT64 led to 65.5 and 51.7% sensitivity, respectively. However, MT10.3 and MPT64 displayed overall lower sensitivity (≤34.5) for both antibodies. All results at 95% fixed specificity. Combinatory results indicated 93.1% sensitivity for PF IgA-MT10.3:MPT64/−PPE59 and IgA/IgG-MT10.3:MPT64 at 92.3% specificity, followed by IgA-MT10.3:MPT64/−MPT64 or /−F2 (89.6%) without jeopardizing specificity (94.9%). The combinatory results of the PF adenosine deaminase test (ADA) and IgA-MT10.3:MPT64/−F2 demonstrated the highest sensitivity (96.6%), with a specificity of 92.3%.
Conclusions
The PF IgA-MT10:MPT64 immune dominance was validated in PLTB, and its combinatory results with PPE59 or MPT64 or F2 antigens as well as with IgG, are reported herein for the first time, improving their potential to assist diagnosis. Combining PF-ADA and IgA-MT10.3:MPT64/−F2 results achieved better accuracy. Moreover, serum IgG, although less accurate, displays potential beyond microbiological tests.
Funder
Fundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro
Conselho Nacional de Desenvolvimento Científico e Tecnológico
Fundação Oswaldo Cruz
Publisher
Springer Science and Business Media LLC
Reference50 articles.
1. Light RW. Update on tuberculous pleural effusion. Respirology. 2010.
https://doi.org/10.1111/j.1440-1843.2010.01723.x
.
2. Dong X, Yang J. High IL-35 pleural expression in patients with tuberculous pleural effusion. Med Sci Monit. 2015.
https://doi.org/10.12659/MSM.892562.
3. WHO Report: World Health Organization. Global Tuberculosis Report 2017, vol. 249. Geneva: World Health Organization; 2017.
https://apps.who.int/iris/handle/10665/259366
. Accessed 20 Nov 2018
4. Neves DD, Dias RM, Cunha AJ. Predictive model for the diagnosis of tuberculous pleural effusion. Braz J Infect Dis. 2007.
https://doi.org/10.1590/S1413-86702007000100019
5. Sales RK, Vargas FS, Capelozz VL, Seiscento M, Genofre EH, Teixeira LR, Antonangelo L. Predictive models for diagnosis of pleural effusions secondary to tuberculosis or cancer. Respirology. 2009.
https://doi.org/10.1111/j.1440-1843.2009.01621.x
Cited by
6 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献