Development and Evaluation of a Novel VHH-Based Immunocapture Assay for High-Sensitivity Detection of Shiga Toxin Type 2 (Stx2) in Stool Samples.

Autor: Melli LJ; Instituto de Investigaciones Biotecnológicas Dr. Rodolfo A. Ugalde, Universidad Nacional de San Martín (IIB-UNSAM-CONICET), San Martín, Buenos Aires, Argentina., Zylberman V; Inmunova S.A., San Martín, Buenos Aires, Argentina., Hiriart Y; Inmunova S.A., San Martín, Buenos Aires, Argentina., Lauche CE; Inmunova S.A., San Martín, Buenos Aires, Argentina., Baschkier A; Servicio Fisiopatogenia, Instituto Nacional de Enfermedades Infecciosas-ANLIS Dr. Carlos G. Malbrán, Ciudad Autónoma de Buenos Aires, Argentina., Pardo R; Inmunova S.A., San Martín, Buenos Aires, Argentina., Miliwebsky E; Servicio Fisiopatogenia, Instituto Nacional de Enfermedades Infecciosas-ANLIS Dr. Carlos G. Malbrán, Ciudad Autónoma de Buenos Aires, Argentina., Chinen I; Servicio Fisiopatogenia, Instituto Nacional de Enfermedades Infecciosas-ANLIS Dr. Carlos G. Malbrán, Ciudad Autónoma de Buenos Aires, Argentina., Rivas M; Servicio Fisiopatogenia, Instituto Nacional de Enfermedades Infecciosas-ANLIS Dr. Carlos G. Malbrán, Ciudad Autónoma de Buenos Aires, Argentina., Goldbaum FA; Inmunova S.A., San Martín, Buenos Aires, Argentina., Ugalde JE; Instituto de Investigaciones Biotecnológicas Dr. Rodolfo A. Ugalde, Universidad Nacional de San Martín (IIB-UNSAM-CONICET), San Martín, Buenos Aires, Argentina., Comerci DJ; Instituto de Investigaciones Biotecnológicas Dr. Rodolfo A. Ugalde, Universidad Nacional de San Martín (IIB-UNSAM-CONICET), San Martín, Buenos Aires, Argentina dcomerci@iibintech.com.ar aciocchini@iibintech.com.ar.; Comisión Nacional de Energía Atómica, Grupo Pecuario, Centro Atómico Ezeiza, Buenos Aires, Argentina., Ciocchini AE; Instituto de Investigaciones Biotecnológicas Dr. Rodolfo A. Ugalde, Universidad Nacional de San Martín (IIB-UNSAM-CONICET), San Martín, Buenos Aires, Argentina dcomerci@iibintech.com.ar aciocchini@iibintech.com.ar.
Jazyk: angličtina
Zdroj: Journal of clinical microbiology [J Clin Microbiol] 2020 Feb 24; Vol. 58 (3). Date of Electronic Publication: 2020 Feb 24 (Print Publication: 2020).
DOI: 10.1128/JCM.01566-19
Abstrakt: Shiga toxin (Stx)-producing Escherichia coli (STEC) is the main cause of postdiarrheal hemolytic-uremic syndrome (HUS), a life-threatening clinical complication characterized by hemolytic anemia, thrombocytopenia, and acute renal failure that mainly affects children. A relevant feature of STEC strains is the production of Stx, and all of them express Stx1 and/or Stx2 regardless of the strain serotype. Therefore, Stx detection assays are considered the most suitable methods for the early detection of STEC infections. Single-domain antibodies from camelids (VHHs) exhibit several advantages in comparison with conventional antibodies, making them promising tools for diagnosis. In this work, we have exploited VHH technology for the development of an immunocapture assay for Stx2 detection. Thirteen anti-Stx2 VHHs previously obtained from a variable-domain repertoire library were selected and evaluated in 130 capture-detection pair combinations for Stx detection. Based on this analysis, two VHHs were selected and a double VHH-based biotin-streptavidin capture enzyme-linked immunosorbent assay (ELISA) with spectrophotometric detection was developed and optimized for Stx2 detection. This assay showed an excellent analytical and clinical sensitivity in both STEC culture supernatants and stool samples even higher than the sensitivity of a commercial ELISA. Furthermore, based on the analysis of stool samples, the VHH-based ELISA showed high correlation with stx 2 detection by PCR and a commercial rapid membrane-based immunoassay. The intrinsic properties of VHHs (high target affinity and specificity, stability, and ease of expression at high yields in recombinant bacteria) and their optimal performance for Stx detection make them attractive tools for the diagnosis of HUS related to STEC (STEC-HUS).
(Copyright © 2020 American Society for Microbiology.)
Databáze: MEDLINE