1
|
Estofolete CF, Versiani AF, Dourado FS, Milhim BHGA, Pacca CC, Silva GCD, Zini N, dos Santos BF, Gandolfi FA, Mistrão NFB, Garcia PHC, Rocha RS, Gehrke L, Bosch I, Marques RE, Teixeira MM, da Fonseca FG, Vasilakis N, Nogueira ML. Influence of previous Zika virus infection on acute dengue episode. PLoS Negl Trop Dis 2023; 17:e0011710. [PMID: 37943879 PMCID: PMC10662752 DOI: 10.1371/journal.pntd.0011710] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2023] [Revised: 11/21/2023] [Accepted: 10/05/2023] [Indexed: 11/12/2023] Open
Abstract
BACKGROUND The co-circulation of flaviviruses in tropical regions has led to the hypothesis that immunity generated by a previous dengue infection could promote severe disease outcomes in subsequent infections by heterologous serotypes. This study investigated the influence of antibodies generated by previous Zika infection on the clinical outcomes of dengue infection. METHODOLOGY/PRINCIPAL FINDINGS We enrolled 1,043 laboratory confirmed dengue patients and investigated their prior infection to Zika or dengue. Severe forms of dengue disease were more frequent in patients with previous Zika infection, but not in those previously exposed to dengue. CONCLUSIONS/SIGNIFICANCE Our findings suggest that previous Zika infection may represent a risk factor for subsequent severe dengue disease, but we did not find evidence of antibody-dependent enhancement (higher viral titer or pro-inflammatory cytokine overexpression) contributing to exacerbation of the subsequent dengue infection.
Collapse
Affiliation(s)
- Cassia F. Estofolete
- Laboratório de Pesquisas em Virologia (LPV), Faculdade de Medicina de São José do Rio Preto (FAMERP); São José do Rio Preto, Sao Paulo, Brazil
| | - Alice F. Versiani
- Laboratório de Pesquisas em Virologia (LPV), Faculdade de Medicina de São José do Rio Preto (FAMERP); São José do Rio Preto, Sao Paulo, Brazil
- Department of Pathology, University of Texas Medical Branch; Galveston, Texas, United States of America
| | - Fernanda S. Dourado
- Laboratório de Pesquisas em Virologia (LPV), Faculdade de Medicina de São José do Rio Preto (FAMERP); São José do Rio Preto, Sao Paulo, Brazil
| | - Bruno H. G. A. Milhim
- Laboratório de Pesquisas em Virologia (LPV), Faculdade de Medicina de São José do Rio Preto (FAMERP); São José do Rio Preto, Sao Paulo, Brazil
| | - Carolina C. Pacca
- Laboratório de Pesquisas em Virologia (LPV), Faculdade de Medicina de São José do Rio Preto (FAMERP); São José do Rio Preto, Sao Paulo, Brazil
| | - Gislaine C. D. Silva
- Laboratório de Pesquisas em Virologia (LPV), Faculdade de Medicina de São José do Rio Preto (FAMERP); São José do Rio Preto, Sao Paulo, Brazil
| | - Nathalia Zini
- Laboratório de Pesquisas em Virologia (LPV), Faculdade de Medicina de São José do Rio Preto (FAMERP); São José do Rio Preto, Sao Paulo, Brazil
| | - Barbara F. dos Santos
- Laboratório de Pesquisas em Virologia (LPV), Faculdade de Medicina de São José do Rio Preto (FAMERP); São José do Rio Preto, Sao Paulo, Brazil
| | - Flora A. Gandolfi
- Laboratório de Pesquisas em Virologia (LPV), Faculdade de Medicina de São José do Rio Preto (FAMERP); São José do Rio Preto, Sao Paulo, Brazil
| | - Natalia F. B. Mistrão
- Laboratório de Pesquisas em Virologia (LPV), Faculdade de Medicina de São José do Rio Preto (FAMERP); São José do Rio Preto, Sao Paulo, Brazil
| | - Pedro H. C. Garcia
- Laboratório de Pesquisas em Virologia (LPV), Faculdade de Medicina de São José do Rio Preto (FAMERP); São José do Rio Preto, Sao Paulo, Brazil
| | - Rodrigo S. Rocha
- Laboratório de Pesquisas em Virologia (LPV), Faculdade de Medicina de São José do Rio Preto (FAMERP); São José do Rio Preto, Sao Paulo, Brazil
| | - Lee Gehrke
- Institute for Medical Engineering and Science, Massachusetts Institute of Technology; Cambridge, Massachusetts, United States of America
- Department of Microbiology, Harvard Medical School; Boston, Massachusetts, United States of America
| | - Irene Bosch
- Institute for Medical Engineering and Science, Massachusetts Institute of Technology; Cambridge, Massachusetts, United States of America
| | - Rafael E. Marques
- Brazilian Biosciences National Laboratory (LNBio), Brazilian Center for Research in Energy and Materials (CNPEM); Campinas, Sao Paulo, Brazil
| | - Mauro M. Teixeira
- Department of Biochemistry and Immunology, Universidade Federal de Minas Gerais; Belo Horizonte, Minas Gerais, Brazil
| | - Flavio G. da Fonseca
- Laboratório de Virologia Básica e Aplicada, Departamento de Microbiologia, Instituto de Ciências Biológicas, Universidade Federal de Minas Gerais; Belo Horizonte, Minas Gerais, Brazil
- Centro de Tecnoogia em Vacinas da UFMG, Universidade Federal de Minas Gerais; Belo Horizonte, Minas Gerais, Brazil
| | - Nikos Vasilakis
- Department of Pathology, University of Texas Medical Branch; Galveston, Texas, United States of America
- Center for Vector-Borne and Zoonotic Diseases, University of Texas Medical Branch; Galveston, Texas, United States of America
- Center for Biodefense and Emerging Infectious Diseases, University of Texas Medical Branch; Galveston, Texas, United States of America
- Center for Tropical Diseases, University of Texas Medical Branch; Galveston, Texas, United States of America
- Institute for Human Infection and Immunity, University of Texas Medical Branch; Galveston, Texas, United States of America
| | - Maurício L. Nogueira
- Laboratório de Pesquisas em Virologia (LPV), Faculdade de Medicina de São José do Rio Preto (FAMERP); São José do Rio Preto, Sao Paulo, Brazil
- Department of Pathology, University of Texas Medical Branch; Galveston, Texas, United States of America
| |
Collapse
|
2
|
Zhou J, Chen J, Peng Y, Xie Y, Xiao Y. A Promising Tool in Serological Diagnosis: Current Research Progress of Antigenic Epitopes in Infectious Diseases. Pathogens 2022; 11:1095. [PMID: 36297152 PMCID: PMC9609281 DOI: 10.3390/pathogens11101095] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2022] [Revised: 09/20/2022] [Accepted: 09/23/2022] [Indexed: 07/30/2023] Open
Abstract
Infectious diseases, caused by various pathogens in the clinic, threaten the safety of human life, are harmful to physical and mental health, and also increase economic burdens on society. Infections are a complex mechanism of interaction between pathogenic microorganisms and their host. Identification of the causative agent of the infection is vital for the diagnosis and treatment of diseases. Etiological laboratory diagnostic tests are therefore essential to identify pathogens. However, due to its rapidity and automation, the serological diagnostic test is among the methods of great significance for the diagnosis of infections with the basis of detecting antigens or antibodies in body fluids clinically. Epitopes, as a special chemical group that determines the specificity of antigens and the basic unit of inducing immune responses, play an important role in the study of immune responses. Identifying the epitopes of a pathogen may contribute to the development of a vaccine to prevent disease, the diagnosis of the corresponding disease, and the determination of different stages of the disease. Moreover, both the preparation of neutralizing antibodies based on useful epitopes and the assembly of several associated epitopes can be used in the treatment of disease. Epitopes can be divided into B cell epitopes and T cell epitopes; B cell epitopes stimulate the body to produce antibodies and are therefore commonly used as targets for the design of serological diagnostic experiments. Meanwhile, epitopes can fall into two possible categories: linear and conformational. This article reviews the role of B cell epitopes in the clinical diagnosis of infectious diseases.
Collapse
|
3
|
Falconi-Agapito F, Kerkhof K, Merino X, Bakokimi D, Torres F, Van Esbroeck M, Talledo M, Ariën KK. Peptide Biomarkers for the Diagnosis of Dengue Infection. Front Immunol 2022; 13:793882. [PMID: 35154111 PMCID: PMC8826428 DOI: 10.3389/fimmu.2022.793882] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2021] [Accepted: 01/05/2022] [Indexed: 11/13/2022] Open
Abstract
In a world with an increasing population at risk of exposure to arthropod-borne flaviviruses, access to timely and accurate diagnostic tests would impact profoundly on the management of cases. Twenty peptides previously identified using a flavivirus proteome-wide microarray were evaluated to determine their discriminatory potential to detect dengue virus (DENV) infection. This included nine peptides recognized by IgM antibodies (PM peptides) and 11 peptides recognized by IgG antibodies (PG peptides). A bead-based multiplex peptide immunoassay (MPIA) using the Luminex technology was set-up to determine Ab binding levels to each of these peptides in a panel of 323 carefully selected human serum samples. Sera are derived from individuals either infected with different viruses, namely, the four DENV serotypes, Zika virus (ZIKV), yellow fever virus (YFV), chikungunya virus (CHIKV), West Nile virus (WNV) and Human immunodeficiency virus (HIV), or receiving vaccination against YFV, tick-borne encephalitis (TBEV), and Japanese encephalitis virus (JEV). Additionally, a set of healthy controls were included. We targeted a minimum specificity of 80% for all the analysis. The PG-9 peptide had the best sensitivity (73%) when testing DENV sera from acute patients (A-DENV; <8 days since symptom onset). With sera from convalescent DENV patients (C-DENV; >10 days since symptom onset) the FPG-1 peptide was the best seromarker with a sensitivity of 86%. When combining all A-DENV and C-DENV samples, peptides PM-22 and FPG-1 had the best-diagnostic performance with a sensitivity of 60 and 61.1%, and areas under the curve (AUC) of 0.7865 and 0.8131, respectively. A Random forest (RF) algorithm was used to select the best combination of peptides to classify DENV infection at a targeted specificity >80%. The best RF model for PM peptides that included A-DENV and C-DENV samples, reached a sensitivity of 72.3%, while for PG peptides, the best RF models for A-DENV only, C-DENV only and A-DENV + C-DENV reached a sensitivity of 88.9%, 89.1%, and 88.3%, respectively. In conclusion, the combination of multiple peptides constitutes a founding set of seromarkers for the discrimination of DENV infected individuals from other flavivirus infections.
Collapse
Affiliation(s)
- Francesca Falconi-Agapito
- Department of Biomedical Sciences, Unit of Virology, Institute of Tropical Medicine, Antwerp, Belgium
- Virology Unit, Instituto de Medicina Tropical Alexander von Humboldt, Universidad Peruana Cayetano Heredia, Lima, Peru
| | - Karen Kerkhof
- Department of Biomedical Sciences, Unit of Virology, Institute of Tropical Medicine, Antwerp, Belgium
| | - Xiomara Merino
- Virology Unit, Instituto de Medicina Tropical Alexander von Humboldt, Universidad Peruana Cayetano Heredia, Lima, Peru
| | - Diana Bakokimi
- Department of Biomedical Sciences, Unit of Virology, Institute of Tropical Medicine, Antwerp, Belgium
| | | | - Marjan Van Esbroeck
- Department of Clinical Sciences, National Reference Center for Arboviruses, Institute of Tropical Medicine, Antwerp, Belgium
| | - Michael Talledo
- Virology Unit, Instituto de Medicina Tropical Alexander von Humboldt, Universidad Peruana Cayetano Heredia, Lima, Peru
| | - Kevin K. Ariën
- Department of Biomedical Sciences, Unit of Virology, Institute of Tropical Medicine, Antwerp, Belgium
- Department of Biomedical Sciences, University of Antwerp, Antwerp, Belgium
| |
Collapse
|
4
|
Fumagalli MJ, Figueiredo LTM, Aquino VH. Linear and Continuous Flavivirus Epitopes From Naturally Infected Humans. Front Cell Infect Microbiol 2021; 11:710551. [PMID: 34458161 PMCID: PMC8387565 DOI: 10.3389/fcimb.2021.710551] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2021] [Accepted: 07/15/2021] [Indexed: 12/27/2022] Open
Abstract
This manuscript is an up-to-date review of experimentally validated linear and continuous epitopes identified from arbovirus members of the Flavivirus genus. We summarized 153 immunoreactive peptides from the Dengue virus, Zika virus, Japanese encephalitis virus, West Nile virus, and tick-borne encephalitis virus described in studies published from 1989 to 2020. We included peptides from structural (envelope, capsid, and pre-membrane) and nonstructural (Ns1–5) viral proteins that demonstrated relevant immunoreactivity with antibodies from naturally infected or vaccinated humans. We included peptides that demonstrated relevant reactivity features, such as indicators of disease severity related to immunological or immunopathological outcomes, differential or group diagnostic markers, immunotherapy candidates, and potential for vaccine formulation. The majority of immunoreactive peptides were described for DENV probably due to its long-lasting impact on human health and the lack of efficient vaccines and therapeutic methods. Immune landscape data regarding linear immunoreactive and continuous flavivirus peptides are still scarce, and a complete and more detailed map remains to be elucidated. Therefore, this review provides valuable data for those investigating the antibody response against flavivirus infection.
Collapse
Affiliation(s)
- Marcilio Jorge Fumagalli
- Virology Research Center, Medical School of Ribeirão Preto, University of São Paulo, Ribeirão Preto, Brazil
| | | | - Victor Hugo Aquino
- Laboratory of Virology, Department of Clinical Analyses, Toxicology and Food Sciences, Faculty of Pharmaceutical Sciences of Ribeirão Preto, University of São Paulo, Ribeirão Preto, Brazil
| |
Collapse
|
5
|
Abrahão JS, de Arruda LB. Special Issue "Emerging Viruses: Surveillance, Prevention, Evolution, and Control". Viruses 2020; 12:v12030306. [PMID: 32168932 PMCID: PMC7150905 DOI: 10.3390/v12030306] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2020] [Accepted: 03/09/2020] [Indexed: 12/14/2022] Open
Abstract
Emerging viruses represent a major concern for public health offices. Climate changes, the international migration of people and products, deforestation, and other anthropogenic activities (and their consequences) have been historically and continuously related to the emerging and re-emerging of new viruses, triggering an increasing number of notified outbreaks, epidemics, and pandemics. [...].
Collapse
Affiliation(s)
- Jônatas Santos Abrahão
- Laboratório de Vírus, Instituto de Ciências Biológicas, Departamento de Microbiologia, Universidade Federal de Minas Gerais, Belo Horizonte 31270-901, MG, Brazil
- Correspondence: (J.S.A.); (L.B.d.A.)
| | - Luciana Barros de Arruda
- Departamento de Virologia, Instituto de Microbiologia Paulo de Góes, Universidade Federal do Rio de Janeiro, Rio de Janeiro 21941-902, RJ, Brazil
- Correspondence: (J.S.A.); (L.B.d.A.)
| |
Collapse
|