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Usefulness of gel filtration fraction as potential biomarker for neurocysticercosis in serum: towards a new diagnostic tool

Published online by Cambridge University Press:  17 October 2016

D. S. NUNES
Affiliation:
Instituto de Ciências Biomédicas, Universidade Federal de Uberlândia, Av. Pará 1720, 38400-902, Uberlândia, MG, Brazil
H. T. GONZAGA
Affiliation:
Instituto de Ciências Biomédicas, Universidade Federal de Uberlândia, Av. Pará 1720, 38400-902, Uberlândia, MG, Brazil
V. S. RIBEIRO
Affiliation:
Instituto de Ciências Biomédicas, Universidade Federal de Uberlândia, Av. Pará 1720, 38400-902, Uberlândia, MG, Brazil Unidade Acadêmica Especial de Biotecnologia, Área de Ciências Biológicas, Universidade Federal de Goiás, Regional Catalão, Av. Dr. Lamartine Pinto Avelar 1120, Bloco M, 75704-020, Catalão, GO, Brazil
J. P. CUNHA-JÚNIOR
Affiliation:
Instituto de Ciências Biomédicas, Universidade Federal de Uberlândia, Av. Pará 1720, 38400-902, Uberlândia, MG, Brazil
J. M. COSTA-CRUZ*
Affiliation:
Instituto de Ciências Biomédicas, Universidade Federal de Uberlândia, Av. Pará 1720, 38400-902, Uberlândia, MG, Brazil
*
*Corresponding author: Laboratório de Diagnóstico de Parasitoses, Departamento de Imunologia, Microbiologia e Parasitologia, Instituto de Ciências Biomédicas, Universidade Federal de Uberlândia, Uberlândia, MG, Brasil. Avenida Pará 1720, 38400-902, Uberlândia, MG, Brazil. E-mail: costacruz@ufu.br

Summary

There is an increasing interest in improving neurocysticercosis (NCC) diagnosis through the search of new and alternative antigenic sources, as those obtained from heterologous antigens. The aim of this study was to obtain potential biomarkers for NCC diagnosis after gel filtration chromatography [gel filtration fraction (GFF)] from the total saline extract (SE) from Taenia saginata metacestodes, followed by protein identification and application in immunodiagnostic. SE and GFF proteic profiles were characterized in gel electrophoresis, and diagnostic performance was verified by testing 160 serum samples through enzyme-linked immunosorbent assay and immunoblotting. Sensitivity (Se), specificity (Sp) and other diagnostic parameters were calculated. Polypeptides of interest in the diagnosis of human NCC present at GFF were analysed by mass spectrometry (MS) and B-cell epitopes were predicted. GFF had the best diagnostic parameters: Se 93·3%; Sp 93%; AUC 0·990; LR+ = 13·42 and LR− = 0·07, and proved to be useful reacting with serum samples in immunoblotting. Proteic profile ranged from 64 to 68 kDa and enolase and calcium binding protein calreticulin precursor were identified after MS. The enolase and calcium-binding protein calreticulin precursor showed 18 and 10 predicted B-cell epitopes, respectively. In conclusion we identified important markers in the GFF with high efficiency to diagnose NCC.

Information

Type
Research Article
Copyright
Copyright © Cambridge University Press 2016 
Figure 0

Fig. 1. ELISA using total saline extract (SE) from T. saginata metacestodes and gel filtration fraction (GFF) for detection of IgG anti-Taenia in serum samples from 45 patients with NCC (G1), 65 patients with other parasitic infections (G2), and 50 healthy individuals (G3) RI for each extract were considered positive (RI > 1) (A). Receiver operating characteristic curves (ROC) indicating reaction cut-off point, sensitivity (Se), specificity (Sp), area under curve (AUC), likelihood ratios (LR+ and LR−) and AUC comparison according to Hanley and McNeil (1983), using total SE from T. saginata metacestodes and GFF (B), 95% CI for Se, Sp and AUC are shown in brackets.

Figure 1

Fig. 2. Electrophoretic profiles of the total saline extract (SE) from T. saginata metacestodes and gel filtration fraction (GFF) obtained after gel filtration chromatography (SDS–PAGE) (A). Immunoblotting to detect anti-Taenia sp. IgG antibodies in pool of serum samples from patients with NCC (G1 pool) and healthy individuals (G3 pool). Peaks of intensity, indicative of the bands detected, were generated by ImageJ version 1.44. Molecular weight standard in kilodaltons (kDa) (B).

Figure 2

Fig. 3. Protein identification: enolase (Taenia multiceps) (A) and calcium-binding protein calreticulin precursor (T. solium) (B) through MS and in silico analysis by predicting linear B-cell epitopes (BepiPred). Amino acid residues are coloured in yellow in the graph when they reach scores above the threshold, where the X-axis correspond to the positions of the residues in the sequence and Y-axis score (A.1 and B.1). Marking of antigenic determinants (yellow) predicted for B-cells. 3D modelling of the proteins showed the B-cell epitopes (yellow) and not predicted (green) (A.2 and B.2).

Figure 3

Table 1. Protein characterization of fraction obtained by gel filtration on S-100 resin of the saline extract (SE) from T. saginata metacestodes identified by MS and subjected to search in the database for the genus Taenia