Please use this identifier to cite or link to this item:
Title: Laboratorial algorithm for serological diagnosis of visceral leishmaniasis using rK39-ICT, DAT-LPC and FC-Simplex IgG1.
Authors: Vale, Isabela Natália Pascoal Campos do
Saliba, Juliana Wilke
Fonseca, Giuliana Schmidt França
Pascoal, Vanessa Peruhype Magalhães
Araújo, Fernanda Fortes de
Xavier, Marcelo Antônio Pascoal
Carvalho, Andréa Teixeira de
Campos, Fernanda Magalhães Freire
Andrade, Mariléia Chaves
Lula, Jamille Fernandes
Reis, Alexandre Barbosa
Lemos, Elenice Moreira
Carvalho, Sílvio Fernando Guimarães de
Oliveira, Edward
Martins Filho, Olindo Assis
Issue Date: 2020
Citation: VALE, I. N. P. C. do et al. Laboratorial algorithm for serological diagnosis of visceral leishmaniasis using rK39-ICT, DAT-LPC and FC-Simplex IgG1. Journal of Immunological Methods, v. 480, p. 112765, 2020. Disponível em: <>. Acesso em: 10 jun. 2021.
Abstract: The performance of distinct serological tests (rK39-ICT, IFAT, DAT-LPC, FC-Simplex IgG1) was assessed and a laboratorial algorithm was proposed for accurate diagnosis of VL. DAT-LPC and FC-Simplex IgG1 showed outstanding accuracy (AUC = 0.93) to identify VL patients. The use of a sequential serological algorithm (rK39-ICT screening followed by DAT-LPC or FC-Simplex IgG1) improved the global accuracy for VL (97.2%) diagnosis. An alternative approach for diagnosis of VL has been also assessed for interchangeable use of serum/whole blood lysate samples in DAT-LPC and FC-Simplex IgG1. Our data showed an outstanding agreement for the results obtained with whole blood lysate samples as compared to serum samples (DAT-LPC =100%; FC-Simplex IgG1 = 99%). Together, these findings provide insights to improve the current overall accuracy of VL diagnosis and present innovative laboratorial tests and alternative samples from use in public health services.
ISSN: 0022-1759
Appears in Collections:DEACL - Artigos publicados em periódicos

Files in This Item:
File Description SizeFormat 
  Restricted Access
1,17 MBAdobe PDFView/Open

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.