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Prospection of immunological biomarkers for characterization and monitoring of asymptomatic Leishmania (Leishmania) infantum infection

Published online by Cambridge University Press:  28 May 2020

Gisele Macêdo Rodrigues da Cunha
Affiliation:
Laboratório de Epidemiologia de Doenças Infecciosas e Parasitárias, Departamento de Parasitologia, Instituto de Ciências Biológicas, Universidade Federal de Minas Gerais, 31270-901, Belo Horizonte, MG, Brazil
Mariângela Carneiro*
Affiliation:
Laboratório de Epidemiologia de Doenças Infecciosas e Parasitárias, Departamento de Parasitologia, Instituto de Ciências Biológicas, Universidade Federal de Minas Gerais, 31270-901, Belo Horizonte, MG, Brazil Pós-graduação em Ciências da Saúde, Infectologia e Medicina Tropical, Faculdade de Medicina, Universidade Federal de Minas Gerais, Brazil
Marcelo Antônio Pascoal-Xavier
Affiliation:
Grupo Imunologia de Doenças Virais, Instituto René Rachou, Fundação Oswaldo Cruz (FIOCRUZ), 30190-002, Belo Horizonte, MG, Brazil Laboratório de Patologia Molecular, Departamento de Anatomia Patológica, Faculdade de Medicina, Universidade Federal de Minas Gerais, 30130-100, Belo Horizonte, MG, Brazil
Iara Caixeta Marques da Rocha
Affiliation:
Laboratório de Epidemiologia de Doenças Infecciosas e Parasitárias, Departamento de Parasitologia, Instituto de Ciências Biológicas, Universidade Federal de Minas Gerais, 31270-901, Belo Horizonte, MG, Brazil
Fernanda do Carmo Magalhães
Affiliation:
Laboratório de Epidemiologia de Doenças Infecciosas e Parasitárias, Departamento de Parasitologia, Instituto de Ciências Biológicas, Universidade Federal de Minas Gerais, 31270-901, Belo Horizonte, MG, Brazil
Olindo Assis Martins-Filho
Affiliation:
Grupo Integrado de Pesquisas em Biomarcadores, Instituto René Rachou, Fundação Oswaldo Cruz (FIOCRUZ), 30190-002, Belo Horizonte, MG, Brazil
Edward Oliveira
Affiliation:
Pesquisa Clínica e Políticas Públicas em Doenças Infecciosas e Parasitárias, Instituto René Rachou, Fundação Oswaldo Cruz (FIOCRUZ), 30190-002, Belo Horizonte, MG, Brazil
Vanessa Peruhype-Magalhães
Affiliation:
Grupo Integrado de Pesquisas em Biomarcadores, Instituto René Rachou, Fundação Oswaldo Cruz (FIOCRUZ), 30190-002, Belo Horizonte, MG, Brazil
*
Author for correspondence: Mariângela Carneiro, E-mail: mcarneiro@iufmg.br

Abstract

In areas endemic for Leishmania infantum, an asymptomatic infection may be an indicator of the extent of transmission. The main goal of this study was to evaluate the applicability of measuring circulating immunological biomarkers as an alternative strategy to characterize and monitor L. infantum asymptomatic infections in combination with serological methods. To this end, 179 children from a region endemic for visceral leishmaniasis (VL), aged 1–10 years old, selected from a cross-sectional study, were identified as asymptomatic (n = 81) or uninfected (n = 98) by qPCR and/or serological tests (ELISA using L. infantum soluble antigen and rK39), and, together with serum samples of children diagnosed with VL (n = 43), were subjected to avidity tests and cytokine levels measurement. Avidity rates (AR) ranging from 41 to 70% were found in 29 children (66%) from the asymptomatic group. On the other hand, high AR (above 70%) were observed in 27 children (64%) from the VL group. Logistic Regression and Classification and Regression Tree (CART) analyses demonstrated that lower AR and IFN-γ production associated with higher IL-17A levels were hallmarks in asymptomatic L. infantum infections. Therefore, this study proposes an association of immunological biomarkers that can be used as a complementary strategy for the characterization and monitoring of asymptomatic VL infections in children living in endemic areas.

Information

Type
Research Article
Copyright
Copyright © The Author(s), 2020. Published by Cambridge University Press
Figure 0

Fig. 1. Flow diagram to select the studied groups.

Figure 1

Table 1. Rules for categorizing each variable

Figure 2

Fig. 2. IgG antibody avidity profile and correlation index in L. infantum-infected children. (A) Table presenting IgG antibody avidity profile. (B) Correlation analysis between the time of symptoms when hospitalized and the AR of IgG antibodies in the VL group. The results are shown in the scatter plot. Pearson's test was applied. (C) Comparative analysis between the time of clinical manifestations when hospitalized for patients who presented low (below 40%), average (41–70%) and high (above 70%) avidity. The results presented in the scatter plot highlight the median and number of days of clinical manifestations of the disease. The Kruskal–Wallis test was applied, followed by the Dunn multiple comparison test. (D) Correlation analysis between RI-rK39 and avidity in the AS and VL groups. The results are shown in the scatter plot. Pearson's test was applied.

Figure 3

Fig. 3. Profile of pro-inflammatory and modulatory biomarkers in L. infantum-infected children. Circulating cytokines were analysed in serum samples of uninfected (NI = 98), asymptomatic (AS = 81) and children with classical visceral leishmaniasis (VL = 43) by flow cytometric CBA immunoassay. (A) Pro-inflammatory biomarkers CXCL8, IL-6, IL-1β, TNF and IFN-γ. (B) Modulatory biomarkers IL-10 and IL-17A. Circulating biomarkers concentrations were expressed as pg ml−1. Results were plotted in bar graphs highlighting the median and the interquartile ranges and presented on a log scale. The 95% CI of serum levels of circulating biomarkers in the NI group (basal production) are shown by the dashed rectangle. Statistically significant differences (P < 0.05) between the VL and the NI groups are shown by #. Statistically significant differences between the AS and VL groups are presented by connector lines and the significance level (P < 0.05 or P < 0.001) is indicated by * or ***, respectively.

Figure 4

Fig. 4. AR, IL-17A, IFN-γ and IL-1β as hallmark predictors in the VL. (A) Cytokine profiles of different AR are shown in bar graphs highlighting the median and the interquartile ranges. Statistically significant differences (P < 0.05) between AR in the AS group are presented by connector lines. (B) Logistic regression analysis presenting an adjusted model that indicated the predictive biomarkers in VL. (C) Classification and Regression Tree (CART) of predictive biomarkers AR, IL-17A, IFN-γ and IL-1β between the AS (grey scale) and VL (black) groups. In the rectangles, the gradation of grey colour, from light to dark in the AS group, highlights the increase in the probability of developing VL; the ‘N’, with its respective percentage, indicates the number of children allocated to the group after the division of the antecedent node. To convert the standardized value of the biomarker to its corresponding serum, use Table 1 of standardization of the variables for multivariate analysis.