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Brook CE, Rozins C, Bohl JA, Ahyong V, Chea S, Fahsbender L, Huy R, Lay S, Leang R, Li Y, Lon C, Man S, Oum M, Northrup GR, Oliveira F, Pacheco AR, Parker DM, Young K, Boots M, Tato CM, DeRisi JL, Yek C, Manning JE. Climate, demography, immunology, and virology combine to drive two decades of dengue virus dynamics in Cambodia. Proc Natl Acad Sci U S A 2024; 121:e2318704121. [PMID: 39190356 DOI: 10.1073/pnas.2318704121] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2023] [Accepted: 07/31/2024] [Indexed: 08/28/2024] Open
Abstract
The incidence of dengue virus disease has increased globally across the past half-century, with highest number of cases ever reported in 2019 and again in 2023. We analyzed climatological, epidemiological, and phylogenomic data to investigate drivers of two decades of dengue in Cambodia, an understudied endemic setting. Using epidemiological models fit to a 19-y dataset, we first demonstrate that climate-driven transmission alone is insufficient to explain three epidemics across the time series. We then use wavelet decomposition to highlight enhanced annual and multiannual synchronicity in dengue cycles between provinces in epidemic years, suggesting a role for climate in homogenizing dynamics across space and time. Assuming reported cases correspond to symptomatic secondary infections, we next use an age-structured catalytic model to estimate a declining force of infection for dengue through time, which elevates the mean age of reported cases in Cambodia. Reported cases in >70-y-old individuals in the 2019 epidemic are best explained when also allowing for waning multitypic immunity and repeat symptomatic infections in older patients. We support this work with phylogenetic analysis of 192 dengue virus (DENV) genomes that we sequenced between 2019 and 2022, which document emergence of DENV-2 Cosmopolitan Genotype-II into Cambodia. This lineage demonstrates phylogenetic homogeneity across wide geographic areas, consistent with invasion behavior and in contrast to high phylogenetic diversity exhibited by endemic DENV-1. Finally, we simulate an age-structured, mechanistic model of dengue dynamics to demonstrate how expansion of an antigenically distinct lineage that evades preexisting multitypic immunity effectively reproduces the older-age infections witnessed in our data.
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Affiliation(s)
- Cara E Brook
- Department of Ecology and Evolution, University of Chicago, Chicago, IL 60637
| | - Carly Rozins
- Department of Science, Technology, and Society, York University, Toronto, ON M3J 1P3, Canada
| | - Jennifer A Bohl
- Laboratory of Malaria and Vector Research, National Institute of Allergy and Infectious Diseases, NIH, Rockville, MD 20892
| | - Vida Ahyong
- Chan Zuckerberg Biohub, San Francisco, CA 94158
| | - Sophana Chea
- International Center of Excellence in Research, National Institute of Allergy and Infectious Diseases, NIH, Phnom Penh 120801, Cambodia
| | | | - Rekol Huy
- National Center for Parasitology, Entomology, and Malaria Control, Phnom Penh 120801, Cambodia
| | - Sreyngim Lay
- International Center of Excellence in Research, National Institute of Allergy and Infectious Diseases, NIH, Phnom Penh 120801, Cambodia
| | - Rithea Leang
- National Center for Parasitology, Entomology, and Malaria Control, Phnom Penh 120801, Cambodia
| | - Yimei Li
- Department of Ecology and Evolution, University of Chicago, Chicago, IL 60637
| | - Chanthap Lon
- International Center of Excellence in Research, National Institute of Allergy and Infectious Diseases, NIH, Phnom Penh 120801, Cambodia
| | - Somnang Man
- International Center of Excellence in Research, National Institute of Allergy and Infectious Diseases, NIH, Phnom Penh 120801, Cambodia
- National Center for Parasitology, Entomology, and Malaria Control, Phnom Penh 120801, Cambodia
| | - Mengheng Oum
- International Center of Excellence in Research, National Institute of Allergy and Infectious Diseases, NIH, Phnom Penh 120801, Cambodia
| | - Graham R Northrup
- Center for Computational Biology, University of California, Berkeley, CA 94720
| | - Fabiano Oliveira
- Laboratory of Malaria and Vector Research, National Institute of Allergy and Infectious Diseases, NIH, Rockville, MD 20892
| | - Andrea R Pacheco
- International Center of Excellence in Research, National Institute of Allergy and Infectious Diseases, NIH, Phnom Penh 120801, Cambodia
| | - Daniel M Parker
- Department of Population Health and Disease Prevention, University of California, Irvine, CA 92697
- Department of Epidemiology and Biostatistics, University of California, Irvine, CA 92697
| | - Katherine Young
- Department of Biological Sciences, University of Texas, El Paso, TX 79968
| | - Michael Boots
- Department of Integrative Biology, University of California, Berkeley, CA 94720
| | | | | | - Christina Yek
- Laboratory of Malaria and Vector Research, National Institute of Allergy and Infectious Diseases, NIH, Rockville, MD 20892
- International Center of Excellence in Research, National Institute of Allergy and Infectious Diseases, NIH, Phnom Penh 120801, Cambodia
| | - Jessica E Manning
- Laboratory of Malaria and Vector Research, National Institute of Allergy and Infectious Diseases, NIH, Rockville, MD 20892
- International Center of Excellence in Research, National Institute of Allergy and Infectious Diseases, NIH, Phnom Penh 120801, Cambodia
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Katzelnick LC, Quentin E, Colston S, Ha TA, Andrade P, Eisenberg JNS, Ponce P, Coloma J, Cevallos V. Increasing transmission of dengue virus across ecologically diverse regions of Ecuador and associated risk factors. PLoS Negl Trop Dis 2024; 18:e0011408. [PMID: 38295108 PMCID: PMC10861087 DOI: 10.1371/journal.pntd.0011408] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2023] [Revised: 02/12/2024] [Accepted: 01/15/2024] [Indexed: 02/02/2024] Open
Abstract
The distribution and intensity of viral diseases transmitted by Aedes aegypti mosquitoes, including dengue, have rapidly increased over the last century. Here, we study dengue virus (DENV) transmission across the ecologically and demographically distinct regions or Ecuador. We analyzed province-level age-stratified dengue incidence data from 2000-2019 using catalytic models to estimate the force of infection of DENV over eight decades. We found that provinces established endemic DENV transmission at different time periods. Coastal provinces with the largest and most connected cities had the earliest and highest increase in DENV transmission, starting around 1980 and continuing to the present. In contrast, remote and rural areas with reduced access, like the northern coast and the Amazon regions, experienced a rise in DENV transmission and endemicity only in the last 10 to 20 years. The newly introduced chikungunya and Zika viruses have age-specific distributions of hospital-seeking cases consistent with recent emergence across all provinces. To evaluate factors associated with geographic differences in DENV transmission potential, we modeled DENV vector risk using 11,693 Aedes aegypti presence points to the resolution of 1 hectare. In total, 56% of the population of Ecuador, including in provinces identified as having increasing DENV transmission in our models, live in areas with high risk of Aedes aegypti, with population size, trash collection, elevation, and access to water as important determinants. Our investigation serves as a case study of the changes driving the expansion of DENV and other arboviruses globally and suggest that control efforts should be expanded to semi-urban and rural areas and to historically isolated regions to counteract increasing dengue outbreaks.
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Affiliation(s)
- Leah C. Katzelnick
- Viral Epidemiology and Immunity Unit, Laboratory of Infectious Diseases, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, Maryland, United States of America
| | - Emmanuelle Quentin
- Centro de Investigación en Salud Pública y Epidemiología Clínica (CISPEC), Facultad de Ciencias de la Salud Eugenio Espejo, Universidad UTE, Quito, Ecuador
| | - Savannah Colston
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, Michigan, United States of America
| | - Thien-An Ha
- Division of Infectious Diseases and Vaccinology, School of Public Health, University of California, Berkeley, Berkeley, California, United States of America
| | - Paulina Andrade
- Division of Infectious Diseases and Vaccinology, School of Public Health, University of California, Berkeley, Berkeley, California, United States of America
| | - Joseph N. S. Eisenberg
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, Michigan, United States of America
| | - Patricio Ponce
- Centro de Investigación en Enfermedades Infeciosas y Vectoriales (CIREV), Instituto Nacional de Investigación en Salud Pública (INSPI), Quito, Ecuador
| | - Josefina Coloma
- Division of Infectious Diseases and Vaccinology, School of Public Health, University of California, Berkeley, Berkeley, California, United States of America
| | - Varsovia Cevallos
- Centro de Investigación en Enfermedades Infeciosas y Vectoriales (CIREV), Instituto Nacional de Investigación en Salud Pública (INSPI), Quito, Ecuador
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Aogo RA, Zambrana JV, Sanchez N, Ojeda S, Kuan G, Balmaseda A, Gordon A, Harris E, Katzelnick LC. Effects of boosting and waning in highly exposed populations on dengue epidemic dynamics. Sci Transl Med 2023; 15:eadi1734. [PMID: 37967199 PMCID: PMC11001200 DOI: 10.1126/scitranslmed.adi1734] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2023] [Accepted: 10/13/2023] [Indexed: 11/17/2023]
Abstract
Sequential infection with multiple dengue virus (DENV) serotypes is thought to induce enduring protection against dengue disease. However, long-term antibody waning has been observed after repeated DENV infection. Here, we provide evidence that highly immune Nicaraguan children and adults (n = 4478) experience boosting and waning of antibodies during and after major Zika and dengue epidemics. We develop a susceptible-infected-recovered-susceptible (SIRS-type) model that tracks immunity by titer rather than number of infections to show that boosts in highly immune individuals can contribute to herd immunity, delaying their susceptibility to transmissible infection. In contrast, our model of lifelong immunity in highly immune individuals, as previously assumed, results in complete disease eradication after introduction. Periodic epidemics under this scenario can only be sustained with a constant influx of infected individuals into the population or a high basic reproductive number. We also find that Zika virus infection can boost DENV immunity and produce delays and then surges in dengue epidemics, as observed with real epidemiological data. This work provides insight into factors shaping periodicity in dengue incidence and may inform vaccine efforts to maintain population immunity.
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Affiliation(s)
- Rosemary A. Aogo
- Viral Epidemiology and Immunity Unit, Laboratory of Infectious Diseases, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD 20892-3203, USA
| | - Jose Victor Zambrana
- Sustainable Sciences Institute, Managua, 14007, Nicaragua
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, 48109-2029, USA
| | - Nery Sanchez
- Sustainable Sciences Institute, Managua, 14007, Nicaragua
| | - Sergio Ojeda
- Sustainable Sciences Institute, Managua, 14007, Nicaragua
| | - Guillermina Kuan
- Sustainable Sciences Institute, Managua, 14007, Nicaragua
- Centro de Salud Sócrates Flores Vivas, Ministry of Health, Managua, 12014, Nicaragua
| | - Angel Balmaseda
- Sustainable Sciences Institute, Managua, 14007, Nicaragua
- Laboratorio Nacional de Virología, Centro Nacional de Diagnóstico y Referencia, Ministry of Health, Managua, 16064, Nicaragua
| | - Aubree Gordon
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, 48109-2029, USA
| | - Eva Harris
- Division of Infectious Diseases and Vaccinology, School of Public Health, University of California, Berkeley, Berkeley, CA, 94720-3370, USA
| | - Leah C. Katzelnick
- Viral Epidemiology and Immunity Unit, Laboratory of Infectious Diseases, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD 20892-3203, USA
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4
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Yek C, Li Y, Pacheco AR, Lon C, Duong V, Dussart P, Chea S, Lay S, Man S, Kimsan S, Huch C, Leang R, Huy R, Brook CE, Manning JE. Dengue in Cambodia 2002-2020: Cases, Characteristics and Capture by National Surveillance. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.04.27.23289207. [PMID: 37333247 PMCID: PMC10274987 DOI: 10.1101/2023.04.27.23289207] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/20/2023]
Abstract
Objective Data from 19 years of national dengue surveillance in Cambodia (2002-2020) were analyzed to describe trends in dengue case characteristics and incidence. Methods Generalized additive models were fitted to dengue case incidence and characteristics (mean age, case phenotype, fatality) over time. Dengue incidence in a pediatric cohort study (2018-2020) was compared to national data during the same period to evaluate disease under-estimation by national surveillance. Findings During 2002-2020, there were 353,270 cases of dengue (average age-adjusted incidence 1.75 cases/1,000 persons/year) recorded in Cambodia, with an estimated 2.1-fold increase in case incidence between 2002 and 2020 (slope = 0.0058, SE = 0.0021, p = 0.006). Mean age of infected individuals increased from 5.8 years in 2002 to 9.1 years in 2020 (slope = 0.18, SE = 0.088, p <0.001); case fatality rates decreased from 1.77% in 2002 to 0.10% in 2020 (slope = -0.16, SE = 0.0050, p <0.001). When compared to cohort data, national data under-estimated clinically apparent dengue case incidence by 5.0-fold (95% CI 0.2 - 26.5), and overall dengue case incidence (both apparent and inapparent cases) by 33.6-fold (range: 18.7- 53.6). Conclusion Dengue incidence in Cambodia is increasing and disease is shifting to older pediatric populations. National surveillance continues to under-estimate case numbers. Future interventions should account for disease under-estimation and shifting demographics for scaling and to target appropriate age groups.
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Affiliation(s)
- Christina Yek
- Critical Care Medicine Department, National Institutes of Health Clinical Center, Bethesda, MD, USA
| | - Yimei Li
- Department of Ecology and Evolution, University of Chicago, Chicago, IL, USA
| | - Andrea R Pacheco
- International Center of Excellence in Research, National Institute of Allergy and Infectious Diseases, Phnom Penh, Cambodia
| | - Chanthap Lon
- International Center of Excellence in Research, National Institute of Allergy and Infectious Diseases, Phnom Penh, Cambodia
| | - Veasna Duong
- Virology Unit, Institut Pasteur du Cambodge, Phnom Penh, Cambodia
| | - Philippe Dussart
- Virology Unit, Institut Pasteur du Cambodge, Phnom Penh, Cambodia
| | - Sophana Chea
- International Center of Excellence in Research, National Institute of Allergy and Infectious Diseases, Phnom Penh, Cambodia
| | - Sreyngim Lay
- International Center of Excellence in Research, National Institute of Allergy and Infectious Diseases, Phnom Penh, Cambodia
| | - Somnang Man
- International Center of Excellence in Research, National Institute of Allergy and Infectious Diseases, Phnom Penh, Cambodia
| | - Souv Kimsan
- National Center of Parasitology, Entomology, and Malaria Control, Ministry of Health, Phnom Penh, Cambodia
| | - Chea Huch
- National Center of Parasitology, Entomology, and Malaria Control, Ministry of Health, Phnom Penh, Cambodia
| | - Rithea Leang
- National Center of Parasitology, Entomology, and Malaria Control, Ministry of Health, Phnom Penh, Cambodia
| | - Rekol Huy
- National Center of Parasitology, Entomology, and Malaria Control, Ministry of Health, Phnom Penh, Cambodia
| | - Cara E Brook
- Department of Ecology and Evolution, University of Chicago, Chicago, IL, USA
| | - Jessica E Manning
- Laboratory of Malaria and Vector Research, National Institute of Allergy and Infectious Diseases, Rockville, MD, USA
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5
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Le J, Hong J, Zhao Z, Chen Y, Hu Y, Chang Z, Zhang Z. Age-specific transmission for different virus serotypes of hand, foot and mouth disease and the impact of interventions in East China, 2009-2015. Heliyon 2022; 8:e12042. [DOI: 10.1016/j.heliyon.2022.e12042] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2022] [Revised: 11/10/2022] [Accepted: 11/25/2022] [Indexed: 12/03/2022] Open
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Malavige GN, Jeewandara C, Ogg GS. Dengue and COVID-19: two sides of the same coin. J Biomed Sci 2022; 29:48. [PMID: 35786403 PMCID: PMC9251039 DOI: 10.1186/s12929-022-00833-y] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2022] [Accepted: 06/28/2022] [Indexed: 12/15/2022] Open
Abstract
BACKGROUND Many countries in Asia and Latin America are currently facing a double burden of outbreaks due to dengue and COVID-19. Here we discuss the similarities and differences between the two infections so that lessons learnt so far from studying both infections will be helpful in further understanding their immunopathogenesis and to develop therapeutic interventions. MAIN BODY Although the entry routes of the SARS-CoV-2 and the dengue virus (DENV) are different, both infections result in a systemic infection, with some similar clinical presentations such as fever, headache, myalgia and gastrointestinal symptoms. However, while dengue is usually associated with a tendency to bleed, development of micro and macrothrombi is a hallmark of severe COVID-19. Apart from the initial similarities in the clinical presentation, there are further similarities between such as risk factors for development of severe illness, cytokine storms, endothelial dysfunction and multi-organ failure. Both infections are characterised by a delayed and impaired type I IFN response and a proinflammatory immune response. Furthermore, while high levels of potent neutralising antibodies are associated with protection, poorly neutralising and cross-reactive antibodies have been proposed to lead to immunopathology by different mechanisms, associated with an exaggerated plasmablast response. The virus specific T cell responses are also shown to be delayed in those who develop severe illness, while varying degrees of endothelial dysfunction leads to increased vascular permeability and coagulation abnormalities. CONCLUSION While there are many similarities between dengue and SARS-CoV-2 infection, there are also key differences especially in long-term disease sequelae. Therefore, it would be important to study the parallels between the immunopathogenesis of both infections for development of more effective vaccines and therapeutic interventions.
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Affiliation(s)
- Gathsaurie Neelika Malavige
- Allergy Immunology and Cell Biology Unit, Department of Immunology and Molecular Medicine, Faculty of Medical Sciences, University of Sri Jayewardenepura, Nugegoda, Sri Lanka.
- MRC Human Immunology Unit, MRC Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, UK.
| | - Chandima Jeewandara
- Allergy Immunology and Cell Biology Unit, Department of Immunology and Molecular Medicine, Faculty of Medical Sciences, University of Sri Jayewardenepura, Nugegoda, Sri Lanka
| | - Graham S Ogg
- Allergy Immunology and Cell Biology Unit, Department of Immunology and Molecular Medicine, Faculty of Medical Sciences, University of Sri Jayewardenepura, Nugegoda, Sri Lanka
- MRC Human Immunology Unit, MRC Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, UK
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7
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Cohen LE, Spiro DJ, Viboud C. Projecting the SARS-CoV-2 transition from pandemicity to endemicity: Epidemiological and immunological considerations. PLoS Pathog 2022; 18:e1010591. [PMID: 35771775 PMCID: PMC9246171 DOI: 10.1371/journal.ppat.1010591] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/07/2023] Open
Abstract
In this review, we discuss the epidemiological dynamics of different viral infections to project how the transition from a pandemic to endemic Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) might take shape. Drawing from theories of disease invasion and transmission dynamics, waning immunity in the face of viral evolution and antigenic drift, and empirical data from influenza, dengue, and seasonal coronaviruses, we discuss the putative periodicity, severity, and age dynamics of SARS-CoV-2 as it becomes endemic. We review recent studies on SARS-CoV-2 epidemiology, immunology, and evolution that are particularly useful in projecting the transition to endemicity and highlight gaps that warrant further research.
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Affiliation(s)
- Lily E. Cohen
- Icahn School of Medicine at Mount Sinai, New York, New York, United States of America
| | - David J. Spiro
- Division of International Epidemiology and Population Studies, Fogarty International Center, National Institutes of Health, Bethesda, Maryland, United States of America
| | - Cecile Viboud
- Division of International Epidemiology and Population Studies, Fogarty International Center, National Institutes of Health, Bethesda, Maryland, United States of America
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Assessing the role of multiple mechanisms increasing the age of dengue cases in Thailand. Proc Natl Acad Sci U S A 2022; 119:e2115790119. [PMID: 35533273 PMCID: PMC9171776 DOI: 10.1073/pnas.2115790119] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/02/2022] Open
Abstract
The age of reported dengue hemorrhagic fever (DHF) cases, the severe form of dengue infections, has been increasing in Thailand for four decades. Factors underlying this shift remain poorly understood, challenging public health planning. Here, we found aging of the population and its effect on the hazard of transmission to be the dominant contributors, with temporal changes in surveillance practices playing a lesser role. With ongoing population aging, we expect a continuing shift of DHF toward older individuals, heightening the chance of clinical complications with comorbidities. With most other highly endemic countries facing similar shifts in age structure, the pattern is expected to appear elsewhere. Awareness is needed to improve diagnosis and treatment. The mean age of dengue hemorrhagic fever (DHF) cases increased considerably in Thailand from 8.1 to 24.3 y between 1981 and 2017 (mean annual increase of 0.45 y). Alternative proposed explanations for this trend, such as changes in surveillance practices, reduced mosquito–human contact, and shifts in population demographics, have different implications for global dengue epidemiology. To evaluate the contribution of each of these hypothesized mechanisms to the observed data, we developed 20 nested epidemiological models of dengue virus infection, allowing for variation over time in population demographics, infection hazards, and reporting rates. We also quantified the effect of removing or retaining each source of variation in simulations of the age trajectory. Shifts in the age structure of susceptibility explained 58% of the observed change in age. Adding heterogeneous reporting by age and reductions in per-serotype infection hazard to models with shifts in susceptibility explained an additional 42%. Reductions in infection hazards were mostly driven by changes in the number of infectious individuals at any time (another consequence of shifting age demographics) rather than changes in the transmissibility of individual infections. We conclude that the demographic transition drives the overwhelming majority of the observed change as it changes both the age structure of susceptibility and the number of infectious individuals. With the projected Thai population age structure, our results suggest a continuing increase in age of DHF cases, shifting the burden toward individuals with more comorbidity. These insights into dengue epidemiology may be relevant to many regions of the globe currently undergoing comparable changes in population demographics.
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Combining seroprevalence and capture-mark-recapture data to estimate the force of infection of brucellosis in a managed population of Alpine ibex. Epidemics 2022; 38:100542. [DOI: 10.1016/j.epidem.2022.100542] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2021] [Revised: 01/04/2022] [Accepted: 02/03/2022] [Indexed: 11/17/2022] Open
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10
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Pollett S, Kuklis CH, Barvir DA, Jarman RG, Romaine RM, Forshey BM, Gromowski GD. The seroepidemiology of dengue in a US military population based in Puerto Rico during the early phase of the Zika pandemic. PLoS Negl Trop Dis 2022; 16:e0009986. [PMID: 35061659 PMCID: PMC8846501 DOI: 10.1371/journal.pntd.0009986] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2021] [Revised: 02/15/2022] [Accepted: 11/08/2021] [Indexed: 11/19/2022] Open
Abstract
Understanding the burden and risk factors of dengue virus (DENV) infection in Puerto Rico is important for the prevention of dengue in local, traveler and military populations. Using sera from the Department of Defense Serum Repository, we estimated the prevalence and predictors of DENV seropositivity in those who had served in Puerto Rico, stratified by birth or prior residence (“birth/residence”) in dengue-endemic versus non-endemic regions. We selected sera collected in early 2015 from 500 U.S. military members, a time-point also permitting detection of early cryptic Zika virus (ZIKV) circulation. 87.2% were born or resided in a DENV-endemic area before their military service in Puerto Rico. A high-throughput, flow-cytometry-based neutralization assay was employed to screen sera for ZIKV and DENV neutralizing antibodies, and confirmatory testing was done by plaque-reduction neutralization test (PRNT). We identified one Puerto Rico resident who seroconverted to ZIKV by June 2015, suggesting cryptic ZIKV circulation in Puerto Rico at least 4 months before the first reported cases. A further six PRNT-positive presumptive ZIKV infections which were resolved as DENV infections only by the use of paired sera. We noted 66.8% of the total study sample was DENV seropositive by early 2015. Logistic regression analysis indicated that birth/residence in a dengue non-endemic region (before military service in Puerto Rico) was associated with a lower odds of DENV exposure by January—June 2015 (aOR = 0.28, p = 0.001). Among those with birth/residence in a non-endemic country, we noted moderate evidence to support increase in odds of DENV exposure for each year of military service in Puerto Rico (aOR = 1.58, p = 0.06), but no association with age. In those with birth/residence in dengue-endemic regions (before military service in Puerto Rico), we noted that age (aOR = 1.04, p = 0.02), rather than duration of Puerto Rico service, was associated with dengue seropositivity, suggesting earlier lifetime DENV exposure. Our findings provide insights into the burden and predictors of DENV infection in local, traveler and military populations in Puerto Rico. Our study also highlights substantial PRNT ZIKV false-positivity when paired sera are not available, even during periods of very low ZIKV prevalence.
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Affiliation(s)
- Simon Pollett
- Viral Diseases Branch, Walter Reed Army Institute of Research, Silver Spring, Maryland, United States of America
| | - Caitlin H. Kuklis
- Viral Diseases Branch, Walter Reed Army Institute of Research, Silver Spring, Maryland, United States of America
| | - David A. Barvir
- Viral Diseases Branch, Walter Reed Army Institute of Research, Silver Spring, Maryland, United States of America
| | - Richard G. Jarman
- Viral Diseases Branch, Walter Reed Army Institute of Research, Silver Spring, Maryland, United States of America
| | - Rachel M. Romaine
- Armed Forces Health Surveillance Division, Silver Spring, Maryland, United States of America
| | - Brett M. Forshey
- Armed Forces Health Surveillance Division, Silver Spring, Maryland, United States of America
| | - Gregory D. Gromowski
- Viral Diseases Branch, Walter Reed Army Institute of Research, Silver Spring, Maryland, United States of America
- * E-mail:
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Santos JPCD, Albuquerque HG, Siqueira ASP, Praça HLF, Pereira LV, Tavares ADM, Gusmão EVV, Bruno PRDA, Barcellos C, Carvalho MDS, Sabroza PC, Honório NA. ARBOALVO: estratificação territorial para definição de áreas de pronta resposta para vigilância e controle de arboviroses urbanas em tempo oportuno. CAD SAUDE PUBLICA 2022; 38:e00110121. [DOI: 10.1590/0102-311x00110121] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2021] [Accepted: 10/22/2021] [Indexed: 11/21/2022] Open
Abstract
O objetivo deste trabalho foi apresentar a proposta metodológica denominada de “Pronta Resposta” modelada nas cidades de Belo Horizonte (Minas Gerais) e Natal (Rio Grande do Norte), Brasil. A metodologia visa identificar e delimitar áreas prioritárias para o direcionamento das ações de vigilância em tempo oportuno, buscando a redução da intensidade e velocidade da dispersão de epidemias em áreas urbanas endêmicas. Para tanto, a metodologia utiliza três variáveis, que representam as causas necessárias para a produção e reprodução da dengue: casos notificados (vírus), ovos de Aedes (vetor) e população (hospedeiro). Trata-se de um estudo ecológico que utilizou os dados dos três planos de informações agregados em escalas temporais e espaciais mais finas, de três a quatro semanas e grades de 400 a 600 metros respectivamente. As áreas de pronta resposta foram definidas por meio de análise estatística de varredura Scan, com definição de clusters espaciais simultâneos para os três planos por meio do programa SaTScan. Os resultados observados foram: na cidade de Natal, as áreas definidas como pronta resposta ocuparam em média 15,2% do território do município e concentraram 67,77% dos casos de dengue do período posterior ao utilizado na delimitação das áreas de pronta resposta, e em Belo Horizonte, os números observados foram de 64,16% dos casos em 23,23% do território. Esses resultados foram obtidos em duas cidades com realidades socioambientais e geográficas diferentes e com perfis epidemiológicos também distintos, apontando que a metodologia pode ser aplicada em diferentes realidades urbanas, criando a possibilidade de os programas de controle atuarem em porções reduzidas do território e impactar num alto percentual de casos em tempo oportuno.
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12
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Echegaray F, Laing P, Hernandez S, Marquez S, Harris A, Laing I, Chambers A, McLennan N, Sugiharto VA, Chen HW, Villagran SV, Collingwood A, Montoya M, Carrillo FB, Simons MP, Cooper PJ, Lopez A, Trueba G, Eisenberg J, Wu SJ, Messer W, Harris E, Coloma J, Katzelnick LC. Adapting Rapid Diagnostic Tests to Detect Historical Dengue Virus Infections. Front Immunol 2021; 12:703887. [PMID: 34367162 PMCID: PMC8344047 DOI: 10.3389/fimmu.2021.703887] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2021] [Accepted: 07/06/2021] [Indexed: 11/22/2022] Open
Abstract
The only licensed dengue vaccine, Dengvaxia®, increases risk of severe dengue when given to individuals without prior dengue virus (DENV) infection but is protective against future disease in those with prior DENV immunity. The World Health Organization has recommended using rapid diagnostic tests (RDT) to determine history of prior DENV infection and suitability for vaccination. Dengue experts recommend that these assays be highly specific (≥98%) to avoid erroneously vaccinating individuals without prior DENV infection, as well as be sensitive enough (≥95%) to detect individuals with a single prior DENV infection. We evaluated one existing and two newly developed anti-flavivirus RDTs using samples collected >6 months post-infection from individuals in non-endemic and DENV and ZIKV endemic areas. We first evaluated the IgG component of the SD BIOLINE Dengue IgG/IgM RDT, which was developed to assist in confirming acute/recent DENV infections (n=93 samples). When evaluated following the manufacturer's instructions, the SD BIOLINE Dengue RDT had 100% specificity for both non-endemic and endemic samples but low sensitivity for detecting DENV seropositivity (0% non-endemic, 41% endemic). Sensitivity increased (53% non-endemic, 98% endemic) when tests were allowed to run beyond manufacturer recommendations (0.5 up to 3 hours), but specificity decreased in endemic samples (36%). When tests were evaluated using a quantitative reader, optimal specificity could be achieved (≥98%) while still retaining sensitivity at earlier timepoints in non-endemic (44-88%) and endemic samples (31-55%). We next evaluated novel dengue and Zika RDTs developed by Excivion to detect prior DENV or ZIKV infections and reduce cross-flavivirus reactivity (n=207 samples). When evaluated visually, the Excivion Dengue RDT had sensitivity and specificity values of 79%, but when evaluated with a quantitative reader, optimal specificity could be achieved (≥98%) while still maintaining moderate sensitivity (48-75%). The Excivion Zika RDT had high specificity (>98%) and sensitivity (>93%) when evaluated quantitatively, suggesting it may be used alongside dengue RDTs to minimize misclassification due to cross-reactivity. Our findings demonstrate the potential of RDTs to be used for dengue pre-vaccination screening to reduce vaccine-induced priming for severe dengue and show how assay design adaptations as well quantitative evaluation can further improve RDTs for this purpose.
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Affiliation(s)
- Fernando Echegaray
- Viral Epidemiology and Immunity Unit, Laboratory of Infectious Diseases, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, United States
| | | | - Samantha Hernandez
- Division of Infectious Diseases and Vaccinology, School of Public Health, University of California, Berkeley, Berkeley, CA, United States
| | - Sully Marquez
- Instituto de Microbiología, Universidad San Francisco de Quito, Quito, Ecuador
| | | | - Ian Laing
- Excivion Ltd., Cambridge, United Kingdom
| | - Adam Chambers
- Oxford Expression Technologies Ltd., Oxford, United Kingdom
| | | | - Victor A. Sugiharto
- Viral & Rickettsial Diseases Department, Naval Medical Research Center, Silver Spring, MD, United States
| | - Hua-Wei Chen
- Viral & Rickettsial Diseases Department, Naval Medical Research Center, Silver Spring, MD, United States
| | | | - Abigail Collingwood
- Department of Epidemiology, University of Michigan School of Public Health, Ann Arbor, MI, United States
| | - Magelda Montoya
- Division of Infectious Diseases and Vaccinology, School of Public Health, University of California, Berkeley, Berkeley, CA, United States
| | - Fausto Bustos Carrillo
- Division of Infectious Diseases and Vaccinology, School of Public Health, University of California, Berkeley, Berkeley, CA, United States
| | - Mark P. Simons
- Viral & Rickettsial Diseases Department, Naval Medical Research Center, Silver Spring, MD, United States
| | - Philip J. Cooper
- Department of Infection and Immunity, St George’s University of London, London, United Kingdom
- School of Medicine, Universidad International del Ecuador, Quito, Ecuador
| | - Andrea Lopez
- School of Medicine, Universidad International del Ecuador, Quito, Ecuador
| | - Gabriel Trueba
- Instituto de Microbiología, Universidad San Francisco de Quito, Quito, Ecuador
| | - Joseph Eisenberg
- Department of Epidemiology, University of Michigan School of Public Health, Ann Arbor, MI, United States
| | - Shuenn-Jue Wu
- Viral & Rickettsial Diseases Department, Naval Medical Research Center, Silver Spring, MD, United States
| | - William Messer
- Department of Molecular Microbiology and Immunology, Oregon Health and Sciences University, Portland, OR, United States
| | - Eva Harris
- Division of Infectious Diseases and Vaccinology, School of Public Health, University of California, Berkeley, Berkeley, CA, United States
| | - Josefina Coloma
- Division of Infectious Diseases and Vaccinology, School of Public Health, University of California, Berkeley, Berkeley, CA, United States
| | - Leah C. Katzelnick
- Viral Epidemiology and Immunity Unit, Laboratory of Infectious Diseases, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, United States
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Joubert A, Andry F, Bertolotti A, Accot F, Koumar Y, Legrand F, Poubeau P, Manaquin R, Gérardin P, Levin C. Distinguishing non severe cases of dengue from COVID-19 in the context of co-epidemics: A cohort study in a SARS-CoV-2 testing center on Reunion island. PLoS Negl Trop Dis 2021; 15:e0008879. [PMID: 33901185 PMCID: PMC8102001 DOI: 10.1371/journal.pntd.0008879] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2020] [Revised: 05/06/2021] [Accepted: 03/15/2021] [Indexed: 12/21/2022] Open
Abstract
Background As coronavirus 2019 (COVID-19) is spreading globally, several countries are handling dengue epidemics. As both infections are deemed to share similarities at presentation, it would be useful to distinguish COVID-19 from dengue in the context of co-epidemics. Hence, we performed a retrospective cohort study to identify predictors of both infections. Methodology/Principal findings All the subjects suspected of COVID-19 between March 23 and May 10, 2020, were screened for COVID-19 within the testing center of the University hospital of Saint-Pierre, Reunion island. The screening consisted in a questionnaire surveyed in face-to-face, a nasopharyngeal swab specimen for the Severe Acute Respiratory Syndrome Coronavirus-2 (SARS-CoV-2) reverse transcription polymerase chain-reaction and a rapid diagnostic orientation test for dengue. Factors independently associated with COVID-19 or with dengue were sought using multinomial logistic regression models, taking other febrile illnesses (OFIs) as controls. Adjusted Odds ratios (OR) and 95% Confidence Intervals (95%CI) were assessed. Over a two-month study period, we diagnosed 80 COVID-19, 61 non-severe dengue and 872 OFIs cases eligible to multivariate analysis. Among these, we identified delayed presentation (>3 days) since symptom onset (Odds ratio 1.91, 95% confidence interval 1.07–3.39), contact with a COVID-19 positive case (OR 3.81, 95%CI 2.21–6.55) and anosmia (OR 7.80, 95%CI 4.20–14.49) as independent predictors of COVID-19, body ache (OR 6.17, 95%CI 2.69–14.14), headache (OR 5.03, 95%CI 1.88–13.44) and retro-orbital pain (OR 5.55, 95%CI 2.51–12.28) as independent predictors of dengue, while smoking was less likely observed with COVID-19 (OR 0.27, 95%CI 0.09–0.79) and upper respiratory tract infection symptoms were associated with OFIs. Conclusions/Significance Although prone to potential biases, these data suggest that non-severe dengue may be more symptomatic than COVID-19 in a co-epidemic setting with higher dengue attack rates. At clinical presentation, nine basic clinical and epidemiological indicators may help to distinguish COVID-19 or dengue from each other and other febrile illnesses. As coronavirus 2019 (COVID-19) is spreading globally, several countries are facing dengue epidemics with the fear the two plagues might overburden their healthcare systems. On Reunion island, southwestern Indian ocean: dengue virus is circulating since 2004 under an endemo-epidemic pattern with yearly outbreaks peaking between March and May since 2015, whereas Severe Acute Respiratory Syndrome Coronavirus-2 (SARS-CoV-2), the pathogen responsible of COVID-19, emerged in March 2020, imported from the Bahamas. COVID-19 and dengue are deemed two clinically similar entities, especially within the first two days from symptom onset. In this context, we conducted a cohort study between March 23 and May 10, 2020, within a SARS-CoV-2 testing center, aimed at identifying the factors discriminating both infections. Surprisingly, we found that non-severe dengue was more symptomatic than mild to moderate COVID-19. Indeed, we found body ache, headache and retro-orbital pain to be indicative of dengue, whereas contact with a COVID-19 positive case, anosmia, delayed presentation (>3 days post symptom onset) and absence of active smoking were indicative of COVID-19. These findings highlight the need for accurate diagnostic tools and not to jeopardize dengue control in areas wherever COVID-19 dengue co-epidemics have the potential to wrought havoc to the healthcare system.
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Affiliation(s)
- Antoine Joubert
- COVID-19 testing center, Centre Hospitalier Universitaire de la Réunion, Saint Pierre, Reunion, France
| | - Fanny Andry
- COVID-19 testing center, Centre Hospitalier Universitaire de la Réunion, Saint Pierre, Reunion, France
- Department of Infectious Diseases and Tropical Medicine, Centre Hospitalier Universitaire de la Réunion, Saint Pierre, Reunion, France
- City to Hospital Outpatient Clinic for the care of COVID-19, Centre Hospitalier Universitaire de la Réunion, Saint Pierre, Reunion, France
| | - Antoine Bertolotti
- COVID-19 testing center, Centre Hospitalier Universitaire de la Réunion, Saint Pierre, Reunion, France
- Department of Infectious Diseases and Tropical Medicine, Centre Hospitalier Universitaire de la Réunion, Saint Pierre, Reunion, France
- Center for Clinical Investigation–Clinical Epidemiology (CIC 1410), Institut National de la Santé et de la Recherche Médicale (INSERM), Centre Hospitalier Universitaire de la Réunion, Saint Pierre, Reunion, France
| | - Frédéric Accot
- COVID-19 testing center, Centre Hospitalier Universitaire de la Réunion, Saint Pierre, Reunion, France
| | - Yatrika Koumar
- COVID-19 testing center, Centre Hospitalier Universitaire de la Réunion, Saint Pierre, Reunion, France
- Department of Infectious Diseases and Tropical Medicine, Centre Hospitalier Universitaire de la Réunion, Saint Pierre, Reunion, France
- City to Hospital Outpatient Clinic for the care of COVID-19, Centre Hospitalier Universitaire de la Réunion, Saint Pierre, Reunion, France
| | - Florian Legrand
- COVID-19 testing center, Centre Hospitalier Universitaire de la Réunion, Saint Pierre, Reunion, France
- City to Hospital Outpatient Clinic for the care of COVID-19, Centre Hospitalier Universitaire de la Réunion, Saint Pierre, Reunion, France
| | - Patrice Poubeau
- COVID-19 testing center, Centre Hospitalier Universitaire de la Réunion, Saint Pierre, Reunion, France
- Department of Infectious Diseases and Tropical Medicine, Centre Hospitalier Universitaire de la Réunion, Saint Pierre, Reunion, France
- City to Hospital Outpatient Clinic for the care of COVID-19, Centre Hospitalier Universitaire de la Réunion, Saint Pierre, Reunion, France
| | - Rodolphe Manaquin
- COVID-19 testing center, Centre Hospitalier Universitaire de la Réunion, Saint Pierre, Reunion, France
- Department of Infectious Diseases and Tropical Medicine, Centre Hospitalier Universitaire de la Réunion, Saint Pierre, Reunion, France
- City to Hospital Outpatient Clinic for the care of COVID-19, Centre Hospitalier Universitaire de la Réunion, Saint Pierre, Reunion, France
| | - Patrick Gérardin
- Center for Clinical Investigation–Clinical Epidemiology (CIC 1410), Institut National de la Santé et de la Recherche Médicale (INSERM), Centre Hospitalier Universitaire de la Réunion, Saint Pierre, Reunion, France
- * E-mail: (PG); (CL)
| | - Cécile Levin
- COVID-19 testing center, Centre Hospitalier Universitaire de la Réunion, Saint Pierre, Reunion, France
- Department of Infectious Diseases and Tropical Medicine, Centre Hospitalier Universitaire de la Réunion, Saint Pierre, Reunion, France
- City to Hospital Outpatient Clinic for the care of COVID-19, Centre Hospitalier Universitaire de la Réunion, Saint Pierre, Reunion, France
- * E-mail: (PG); (CL)
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Cattarino L, Rodriguez-Barraquer I, Imai N, Cummings DAT, Ferguson NM. Mapping global variation in dengue transmission intensity. Sci Transl Med 2020; 12:12/528/eaax4144. [PMID: 31996463 DOI: 10.1126/scitranslmed.aax4144] [Citation(s) in RCA: 110] [Impact Index Per Article: 27.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2019] [Revised: 09/12/2019] [Accepted: 01/02/2020] [Indexed: 12/28/2022]
Abstract
Intervention planning for dengue requires reliable estimates of dengue transmission intensity. However, current maps of dengue risk provide estimates of disease burden or the boundaries of endemicity rather than transmission intensity. We therefore developed a global high-resolution map of dengue transmission intensity by fitting environmentally driven geospatial models to geolocated force of infection estimates derived from cross-sectional serological surveys and routine case surveillance data. We assessed the impact of interventions on dengue transmission and disease using Wolbachia-infected mosquitoes and the Sanofi-Pasteur vaccine as specific examples. We predicted high transmission intensity in all continents straddling the tropics, with hot spots in South America (Colombia, Venezuela, and Brazil), Africa (western and central African countries), and Southeast Asia (Thailand, Indonesia, and the Philippines). We estimated that 105 [95% confidence interval (CI), 95 to 114] million dengue infections occur each year with 51 (95% CI, 32 to 66) million febrile disease cases. Our analysis suggests that transmission-blocking interventions such as Wolbachia, even at intermediate efficacy (50% transmission reduction), might reduce global annual disease incidence by up to 90%. The Sanofi-Pasteur vaccine, targeting only seropositive recipients, might reduce global annual disease incidence by 20 to 30%, with the greatest impact in high-transmission settings. The transmission intensity map presented here, and made available for download, may help further assessment of the impact of dengue control interventions and prioritization of global public health efforts.
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Affiliation(s)
- Lorenzo Cattarino
- MRC Centre for Global Infectious Disease Analysis, School of Public Health, Imperial College London, Norfolk Place, London W2 1PG, UK.
| | | | - Natsuko Imai
- MRC Centre for Global Infectious Disease Analysis, School of Public Health, Imperial College London, Norfolk Place, London W2 1PG, UK
| | - Derek A T Cummings
- Department of Biology and Emerging Pathogens Institute, University of Florida, P. O. Box 100009, Gainesville, FL 32610, USA
| | - Neil M Ferguson
- MRC Centre for Global Infectious Disease Analysis, School of Public Health, Imperial College London, Norfolk Place, London W2 1PG, UK
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15
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Fine-scale heterogeneity in Schistosoma mansoni force of infection measured through antibody response. Proc Natl Acad Sci U S A 2020; 117:23174-23181. [PMID: 32868437 PMCID: PMC7502727 DOI: 10.1073/pnas.2008951117] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/10/2023] Open
Abstract
Schistosomiasis is one of the most common parasitic diseases in the world, and most infected people (90%) live in Africa. Global control efforts use measures of population-level transmission to target programs and assess progress toward elimination. Monitoring Schistosoma mansoni transmission has traditionally relied on examining stool with microscopy, which is difficult to scale in large programs and has low sensitivity as infection burdens decline. Our results show that antibody-based measures of transmission align well with stool-based measures, provide higher sensitivity at lower levels of transmission, and enable fine-scale estimates of force of infection by geography and age. The findings represent a major step toward use of serosurveillance to guide schistosomiasis control efforts in Africa. Schistosomiasis is among the most common parasitic diseases in the world, with over 142 million people infected in low- and middle-income countries. Measuring population-level transmission is centrally important in guiding schistosomiasis control programs. Traditionally, human Schistosoma mansoni infections have been detected using stool microscopy, which is logistically difficult at program scale and has low sensitivity when people have low infection burdens. We compared serological measures of transmission based on antibody response to S. mansoni soluble egg antigen (SEA) with stool-based measures of infection among 3,663 preschool-age children in an area endemic for S. mansoni in western Kenya. We estimated force of infection among children using the seroconversion rate and examined how it varied geographically and by age. At the community level, serological measures of transmission aligned with stool-based measures of infection (ρ = 0.94), and serological measures provided more resolution for between-community differences at lower levels of infection. Force of infection showed a clear gradient of transmission with distance from Lake Victoria, with 94% of infections and 93% of seropositive children in communities <1.5 km from the lake. Force of infection increased through age 3 y, by which time 65% (95% CI: 53%, 75%) of children were SEA positive in high-transmission communities—2 y before they would be reached by school-based deworming programs. Our results show that serologic surveillance platforms represent an important opportunity to guide and monitor schistosomiasis control programs, and that in high-transmission settings preschool-age children represent a key population missed by school-based deworming programs.
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16
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Katzelnick LC, Narvaez C, Arguello S, Lopez Mercado B, Collado D, Ampie O, Elizondo D, Miranda T, Bustos Carillo F, Mercado JC, Latta K, Schiller A, Segovia-Chumbez B, Ojeda S, Sanchez N, Plazaola M, Coloma J, Halloran ME, Premkumar L, Gordon A, Narvaez F, de Silva AM, Kuan G, Balmaseda A, Harris E. Zika virus infection enhances future risk of severe dengue disease. Science 2020; 369:1123-1128. [PMID: 32855339 PMCID: PMC8274975 DOI: 10.1126/science.abb6143] [Citation(s) in RCA: 176] [Impact Index Per Article: 44.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2020] [Accepted: 07/16/2020] [Indexed: 12/12/2022]
Abstract
The Zika pandemic sparked intense interest in whether immune interactions among dengue virus serotypes 1 to 4 (DENV1 to -4) extend to the closely related Zika virus (ZIKV). We investigated prospective pediatric cohorts in Nicaragua that experienced sequential DENV1 to -3 (2004 to 2015), Zika (2016 to 2017), and DENV2 (2018 to 2020) epidemics. Risk of symptomatic DENV2 infection and severe disease was elevated by one prior ZIKV infection, one prior DENV infection, or one prior DENV infection followed by one ZIKV infection, compared with being flavivirus-naïve. By contrast, multiple prior DENV infections reduced dengue risk. Further, although high preexisting anti-DENV antibody titers protected against DENV1, DENV3, and ZIKV disease, intermediate titers induced by previous ZIKV or DENV infection enhanced future risk of DENV2 disease and severity, as well as DENV3 severity. The observation that prior ZIKV infection can modulate dengue disease severity like a DENV serotype poses challenges to development of dengue and Zika vaccines.
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Affiliation(s)
- Leah C Katzelnick
- Division of Infectious Diseases and Vaccinology, School of Public Health, University of California, Berkeley, Berkeley, CA, USA
| | | | | | | | | | | | | | | | - Fausto Bustos Carillo
- Division of Infectious Diseases and Vaccinology, School of Public Health, University of California, Berkeley, Berkeley, CA, USA
| | - Juan Carlos Mercado
- Laboratorio Nacional de Virología, Centro Nacional de Diagnóstico y Referencia, Ministry of Health, Managua, Nicaragua
- Sustainable Sciences Institute, Managua, Nicaragua
| | - Krista Latta
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, USA
| | - Amy Schiller
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, USA
| | - Bruno Segovia-Chumbez
- Department of Microbiology and Immunology, University of North Carolina School of Medicine, Chapel Hill, NC, USA
| | - Sergio Ojeda
- Sustainable Sciences Institute, Managua, Nicaragua
| | - Nery Sanchez
- Sustainable Sciences Institute, Managua, Nicaragua
| | | | - Josefina Coloma
- Division of Infectious Diseases and Vaccinology, School of Public Health, University of California, Berkeley, Berkeley, CA, USA
| | - M Elizabeth Halloran
- Department of Biostatistics, University of Washington, Seattle, WA, USA
- Vaccine and Infectious Diseases Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Lakshmanane Premkumar
- Department of Microbiology and Immunology, University of North Carolina School of Medicine, Chapel Hill, NC, USA
| | - Aubree Gordon
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, USA
| | | | - Aravinda M de Silva
- Department of Microbiology and Immunology, University of North Carolina School of Medicine, Chapel Hill, NC, USA
| | - Guillermina Kuan
- Centro de Salud Sócrates Flores Vivas, Ministry of Health, Managua, Nicaragua
- Sustainable Sciences Institute, Managua, Nicaragua
| | - Angel Balmaseda
- Laboratorio Nacional de Virología, Centro Nacional de Diagnóstico y Referencia, Ministry of Health, Managua, Nicaragua
- Sustainable Sciences Institute, Managua, Nicaragua
| | - Eva Harris
- Division of Infectious Diseases and Vaccinology, School of Public Health, University of California, Berkeley, Berkeley, CA, USA.
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17
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Waggoner JJ, Katzelnick LC, Burger-Calderon R, Gallini J, Moore RH, Kuan G, Balmaseda A, Pinsky BA, Harris E. Antibody-Dependent Enhancement of Severe Disease Is Mediated by Serum Viral Load in Pediatric Dengue Virus Infections. J Infect Dis 2020; 221:1846-1854. [PMID: 32236481 PMCID: PMC7213574 DOI: 10.1093/infdis/jiz618] [Citation(s) in RCA: 28] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2019] [Accepted: 11/19/2019] [Indexed: 01/09/2023] Open
Abstract
BACKGROUND Low preexisting anti-dengue virus (DENV) antibody levels are associated with elevated disease severity. While antibody-dependent enhancement of dengue is thought to be driven by viral load, this has not been conclusively shown. We evaluated the association between preinfection anti-DENV antibody titers, viral load, and disease severity among 133 dengue cases in a Nicaraguan pediatric cohort study. METHODS Viral load was quantified in acute-phase serum by real-time reverse transcription polymerase chain reaction and analyzed in relation to preinfection antibody titer (measured by inhibition enzyme-linked immunosorbent assay) and dengue severity, categorized using 3 definitions. RESULTS Higher viral load was significantly associated with dengue severity; for each increase of 1.0 log10 copies/mL, the odds of severe dengue increased approximately 50%, regardless of severity definition. Viral load at presentation and the odds of severe disease were highest among patients with low to intermediate preinfection antibody titers and lowest among those with the highest antibody titers. We showed the effect of preinfection antibody titer on disease severity was mediated by viral load for each of 3 dengue severity outcomes. CONCLUSIONS This study demonstrates the association between preinfection anti-DENV antibody titer, serum viral load, and disease severity, and provides evidence for the mechanism of antibody-dependent enhancement in dengue cases.
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Affiliation(s)
- Jesse J Waggoner
- Department of Medicine, Emory University, Atlanta, Georgia, USA
- Department of Global Health, Rollins School of Public Health, Atlanta, Georgia, USA
| | - Leah C Katzelnick
- Division of Infectious Diseases and Vaccinology, School of Public Health, University of California Berkeley, Berkeley, California, USA
| | | | - Julia Gallini
- Biostatistics Collaboration Core, Department of Biostatistics and Bioinformatics, Emory University, Atlanta, Georgia, USA
| | - Renee H Moore
- Biostatistics Collaboration Core, Department of Biostatistics and Bioinformatics, Emory University, Atlanta, Georgia, USA
| | - Guillermina Kuan
- Centro de Salud Sócrates Flores Vivas, Ministry of Health, Managua, Nicaragua
| | - Angel Balmaseda
- Sustainable Sciences Institute, Managua, Nicaragua
- Laboratorio Nacional de Virología, Centro Nacional de Diagnóstico y Referencia, Ministry of Health, Managua, Nicaragua
| | - Benjamin A Pinsky
- Department of Pathology, Stanford University School of Medicine, Stanford, California, USA
- Department of Medicine, Division of Infectious Diseases, Stanford University School of Medicine, Stanford, California, USA
| | - Eva Harris
- Division of Infectious Diseases and Vaccinology, School of Public Health, University of California Berkeley, Berkeley, California, USA
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18
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Hladish TJ, Pearson CAB, Toh KB, Rojas DP, Manrique-Saide P, Vazquez-Prokopec GM, Halloran ME, Longini IM. Designing effective control of dengue with combined interventions. Proc Natl Acad Sci U S A 2020; 117:3319-3325. [PMID: 31974303 PMCID: PMC7022216 DOI: 10.1073/pnas.1903496117] [Citation(s) in RCA: 23] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/03/2023] Open
Abstract
Viruses transmitted by Aedes mosquitoes, such as dengue, Zika, and chikungunya, have expanding ranges and seem unabated by current vector control programs. Effective control of these pathogens likely requires integrated approaches. We evaluated dengue management options in an endemic setting that combine novel vector control and vaccination using an agent-based model for Yucatán, Mexico, fit to 37 y of data. Our intervention models are informed by targeted indoor residual spraying (TIRS) experiments; trial outcomes and World Health Organization (WHO) testing guidance for the only licensed dengue vaccine, CYD-TDV; and preliminary results for in-development vaccines. We evaluated several implementation options, including varying coverage levels; staggered introductions; and a one-time, large-scale vaccination campaign. We found that CYD-TDV and TIRS interfere: while the combination outperforms either alone, performance is lower than estimated from their separate benefits. The conventional model hypothesized for in-development vaccines, however, performs synergistically with TIRS, amplifying effectiveness well beyond their independent impacts. If the preliminary performance by either of the in-development vaccines is upheld, a one-time, large-scale campaign followed by routine vaccination alongside aggressive new vector control could enable short-term elimination, with nearly all cases avoided for a decade despite continuous dengue reintroductions. If elimination is impracticable due to resource limitations, less ambitious implementations of this combination still produce amplified, longer-lasting effectiveness over single-approach interventions.
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Affiliation(s)
- Thomas J Hladish
- Department of Biology, University of Florida, Gainesville, FL 32611;
- Emerging Pathogens Institute, University of Florida, Gainesville, FL 32611
| | - Carl A B Pearson
- Department of Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine, London WC1E 7HT, United Kingdom
- Centre for Mathematical Modelling of Infectious Diseases, London School of Hygiene & Tropical Medicine, London WC1E 7HT, United Kingdom
- South African Centre for Epidemiological Modelling and Analysis, Stellenbosch University, Stellenbosch, South Africa 7600
| | - Kok Ben Toh
- School of Natural Resources and Environment, University of Florida, Gainesville, FL 32611
| | - Diana Patricia Rojas
- Department of Biostatistics, University of Florida, Gainesville, FL 32611
- Division of Public Health and Tropical Medicine, James Cook University, Townsville QLD 4814, Australia
| | - Pablo Manrique-Saide
- Collaborative Unit for Entomological Bioassays, Universidad Autónoma de Yucatán, Mérida, Mexico 9700
| | | | - M Elizabeth Halloran
- Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle, WA 98109
- Center for Inference and Dynamics of Infectious Diseases, Seattle, WA 98109
- Department of Biostatistics, University of Washington, Seattle, WA 98195
| | - Ira M Longini
- Emerging Pathogens Institute, University of Florida, Gainesville, FL 32611
- Department of Biostatistics, University of Florida, Gainesville, FL 32611
- Center for Inference and Dynamics of Infectious Diseases, Seattle, WA 98109
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19
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Arnold BF, Martin DL, Juma J, Mkocha H, Ochieng JB, Cooley GM, Omore R, Goodhew EB, Morris JF, Costantini V, Vinjé J, Lammie PJ, Priest JW. Enteropathogen antibody dynamics and force of infection among children in low-resource settings. eLife 2019; 8:45594. [PMID: 31424386 PMCID: PMC6746552 DOI: 10.7554/elife.45594] [Citation(s) in RCA: 20] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2019] [Accepted: 08/15/2019] [Indexed: 01/22/2023] Open
Abstract
Little is known about enteropathogen seroepidemiology among children in low-resource settings. We measured serological IgG responses to eight enteropathogens (Giardia intestinalis, Cryptosporidium parvum, Entamoeba histolytica, Salmonella enterica, enterotoxigenic Escherichia coli, Vibrio cholerae, Campylobacter jejuni, norovirus) in cohorts from Haiti, Kenya, and Tanzania. We studied antibody dynamics and force of infection across pathogens and cohorts. Enteropathogens shared common seroepidemiologic features that enabled between-pathogen comparisons of transmission. Overall, exposure was intense: for most pathogens the window of primary infection was <3 years old; for highest transmission pathogens primary infection occurred within the first year. Longitudinal profiles demonstrated significant IgG boosting and waning above seropositivity cutoffs, underscoring the value of longitudinal designs to estimate force of infection. Seroprevalence and force of infection were rank-preserving across pathogens, illustrating the measures provide similar information about transmission heterogeneity. Our findings suggest antibody response can be used to measure population-level transmission of diverse enteropathogens in serologic surveillance. Diarrhea, which is caused by bacteria such as Salmonella or by viruses like norovirus, is the fourth leading cause of death among children worldwide, with children in low-resource settings being at highest risk. The pathogens that cause diarrhea spread when stool from infected people comes into contact with new hosts, for example, through inadequate sanitation or by drinking contaminated water. Currently, the best way to track these infections is to collect stool samples from people and test them for the presence of the pathogens. Unfortunately, this is costly and difficult to do on a large scale outside of clinical settings, making it hard to track the spread of diarrhea-causing pathogens. The body produces antibodies – small proteins that can detect specific pathogens – in response to an infection. These antibodies help ward off future infections by the same pathogen, so if they are present in the blood, this indicates a current or previous infection. Scientists already collect blood samples to track malaria, HIV and vaccine-preventable diseases in low-resource settings. These samples could be tested more broadly to measure the levels of antibodies against diarrhea-causing pathogens. Now, Arnold et al. have used blood samples collected from children in Haiti, Kenya, and Tanzania to measure antibody responses to 8 diarrhea-causing pathogens. The results showed that many children in these settings had been infected with all 8 pathogens before age three, and that all of the pathogens shared similar age-dependent patterns of antibody response. This finding enabled Arnold et al. to combine antibody measurements with statistical models to estimate each pathogen’s force of infection, that is, the rate at which susceptible individuals in the population become infected. This is a key step for epidemiologists to understand which pathogens cause the most infections in a population. The experiments show that testing blood samples for antibodies could provide scientists with a new tool to track the transmission of diarrhea-causing pathogens in low-resource settings. This information could help public health officials design and test efforts to prevent diarrhea, for example, by improving water treatment or developing vaccines.
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Affiliation(s)
- Benjamin F Arnold
- Division of Epidemiology and Biostatistics, University of California, Berkeley, Berkeley, United States.,Francis I. Proctor Foundation, University of California, San Francisco, San Francisco, United States.,Department of Ophthalmology, University of California, San Francisco, San Francisco, United States
| | - Diana L Martin
- Division of Parasitic Diseases and Malaria, United States Centers for Disease Control and Prevention, Atlanta, United States
| | - Jane Juma
- Kenya Medical Research Institute, Centre for Global Health Research, Kisumu, Kenya
| | - Harran Mkocha
- Kongwa Trachoma Project, Kongwa, United Republic of Tanzania
| | - John B Ochieng
- Kenya Medical Research Institute, Centre for Global Health Research, Kisumu, Kenya
| | - Gretchen M Cooley
- Division of Parasitic Diseases and Malaria, United States Centers for Disease Control and Prevention, Atlanta, United States
| | - Richard Omore
- Kenya Medical Research Institute, Centre for Global Health Research, Kisumu, Kenya
| | - E Brook Goodhew
- Division of Parasitic Diseases and Malaria, United States Centers for Disease Control and Prevention, Atlanta, United States
| | - Jamae F Morris
- Department of African-American Studies, Georgia State University, Atlanta, United States
| | - Veronica Costantini
- Division of Viral Diseases, United States Centers for Disease Control and Prevention, Atlanta, United States
| | - Jan Vinjé
- Division of Viral Diseases, United States Centers for Disease Control and Prevention, Atlanta, United States
| | - Patrick J Lammie
- Division of Parasitic Diseases and Malaria, United States Centers for Disease Control and Prevention, Atlanta, United States.,Neglected Tropical Diseases Support Center, Task Force for Global Health, Decatur, United States
| | - Jeffrey W Priest
- Division of Foodborne, Waterborne, and Environmental Diseases, United States Centers for Disease Control and Prevention, Atlanta, United States
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20
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Lam HM, Phuong HT, Thao Vy NH, Le Thanh NT, Dung PN, Ngoc Muon TT, Van Vinh Chau N, Rodríguez-Barraquer I, Cummings DAT, Wills BA, Boni MF, Rabaa MA, Clapham HE. Serological inference of past primary and secondary dengue infection: implications for vaccination. J R Soc Interface 2019; 16:20190207. [PMID: 31362614 PMCID: PMC6685028 DOI: 10.1098/rsif.2019.0207] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022] Open
Abstract
Owing to the finding that Dengvaxia® (the only licensed dengue vaccine to date) increases the risk of severe illness among seronegative recipients, the World Health Organization has recommended screening individuals for their serostatus prior to vaccination. To decide whether and how to carry out screening, it is necessary to estimate the transmission intensity of dengue and to understand the performance of the screening method. In this study, we inferred the annual force of infection (FOI; a measurement of transmission intensity) of dengue virus in three locations in Vietnam: An Giang (FOI = 0.04 for the below 10 years age group and FOI = 0.20 for the above 10 years age group), Ho Chi Minh City (FOI = 0.12) and Quang Ngai (FOI = 0.05). In addition, we show that using a quantitative approach to immunoglobulin G (IgG) levels (measured by indirect enzyme-linked immunosorbent assays) can help to distinguish individuals with primary exposures (primary seropositive) from those with secondary exposures (secondary seropositive). We found that primary-seropositive individuals—the main targets of the vaccine—tend to have a lower IgG level, and, thus, they have a higher chance of being misclassified as seronegative than secondary-seropositive cases. However, screening performance can be improved by incorporating patient age and transmission intensity into the interpretation of IgG levels.
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Affiliation(s)
- Ha Minh Lam
- Oxford University Clinical Research Unit, Wellcome Trust Major Overseas Programme, Ho Chi Minh City, Vietnam.,Centre for Tropical Medicine and Global Health, Nuffield Department of Medicine, University of Oxford, Oxford, UK
| | - Huynh Thi Phuong
- Oxford University Clinical Research Unit, Wellcome Trust Major Overseas Programme, Ho Chi Minh City, Vietnam
| | - Nguyen Ha Thao Vy
- Oxford University Clinical Research Unit, Wellcome Trust Major Overseas Programme, Ho Chi Minh City, Vietnam
| | - Nguyen Thi Le Thanh
- Oxford University Clinical Research Unit, Wellcome Trust Major Overseas Programme, Ho Chi Minh City, Vietnam
| | - Pham Ngoc Dung
- Laboratory Department, An Giang Central General Hospital, An Giang, Vietnam
| | - Thai Thi Ngoc Muon
- Department of Biochemistry, Quang Ngai General Hospital, Quang Ngai, Vietnam
| | | | | | - Derek A T Cummings
- Department of Biology, University of Florida, Gainesville, FL, USA.,Emerging Pathogens Institute, University of Florida, Gainesville, FL, USA
| | - Bridget A Wills
- Oxford University Clinical Research Unit, Wellcome Trust Major Overseas Programme, Ho Chi Minh City, Vietnam.,Centre for Tropical Medicine and Global Health, Nuffield Department of Medicine, University of Oxford, Oxford, UK
| | - Maciej F Boni
- Centre for Tropical Medicine and Global Health, Nuffield Department of Medicine, University of Oxford, Oxford, UK.,Department of Biology, Center for Infectious Disease Dynamics, Pennsylvania State University, University Park, PA, USA
| | - Maia A Rabaa
- Oxford University Clinical Research Unit, Wellcome Trust Major Overseas Programme, Ho Chi Minh City, Vietnam.,Centre for Tropical Medicine and Global Health, Nuffield Department of Medicine, University of Oxford, Oxford, UK
| | - Hannah E Clapham
- Oxford University Clinical Research Unit, Wellcome Trust Major Overseas Programme, Ho Chi Minh City, Vietnam.,Centre for Tropical Medicine and Global Health, Nuffield Department of Medicine, University of Oxford, Oxford, UK
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21
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Novel pan-serotype control RNA for dengue virus typing through real-time reverse transcription-polymerase chain reaction. J Virol Methods 2019; 271:113677. [PMID: 31195032 DOI: 10.1016/j.jviromet.2019.113677] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2019] [Revised: 06/05/2019] [Accepted: 06/09/2019] [Indexed: 11/21/2022]
Abstract
Dengue virus (DENV) is the causative agent of one of the most important febrile illnesses worldwide. Four DENV serotypes are responsible for a broad clinical spectrum of the disease. Positive controls are costly and required for the validation of molecular test results of DENV serotyping. In this study, we describe the in silico design of the qDENV-Control plasmid with the target sequences to oligonucleotides and probes widely used for DENV serotyping, and the subsequent production of qDENV Control RNA by T7-driven run-off in vitro transcription. The qDENV Control RNA was successfully used to validate the positive and negative DENV serotyping results, allowing its incorporation in routine in-house protocols for virologic surveillance. This Control RNA allowed the absolute quantification of viral RNA copies from unknown samples as required in several fundamental studies.
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22
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Rodriguez-Barraquer I, Salje H, Cummings DA. Opportunities for improved surveillance and control of dengue from age-specific case data. eLife 2019; 8:45474. [PMID: 31120419 PMCID: PMC6579519 DOI: 10.7554/elife.45474] [Citation(s) in RCA: 23] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2019] [Accepted: 05/21/2019] [Indexed: 12/25/2022] Open
Abstract
One of the challenges faced by global disease surveillance efforts is the lack of comparability across systems. Reporting commonly focuses on overall incidence, despite differences in surveillance quality between and within countries. For most immunizing infections, the age distribution of incident cases provides a more robust picture of trends in transmission. We present a framework to estimate transmission intensity for dengue virus from age-specific incidence data, and apply it to 359 administrative units in Thailand, Colombia, Brazil and Mexico. Our estimates correlate well with those derived from seroprevalence data (the gold standard), capture the expected spatial heterogeneity in risk, and correlate with known environmental drivers of transmission. We show how this approach could be used to guide the implementation of control strategies such as vaccination. Since age-specific counts are routinely collected by masany surveillance systems, they represent a unique opportunity to further our understanding of disease burden and risk for many diseases.
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Affiliation(s)
| | - Henrik Salje
- Mathematical Modelling of Infectious Diseases Unit, Institut Pasteur, Paris, France.,CNRS, URA3012, Paris, France.,Center of Bioinformatics, Biostatistics and Integrative Biology, Institut Pasteur, Paris, France.,Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Johns Hopkins University, Baltimore, United States.,Department of Biology, University of Florida, Gainesville, United States
| | - Derek A Cummings
- Department of Biology, University of Florida, Gainesville, United States.,Emerging Pathogens Institute, University of Florida, Gainesville, United States
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23
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Andrade P, Gimblet-Ochieng C, Modirian F, Collins M, Cárdenas M, Katzelnick LC, Montoya M, Michlmayr D, Kuan G, Balmaseda A, Coloma J, de Silva AM, Harris E. Impact of pre-existing dengue immunity on human antibody and memory B cell responses to Zika. Nat Commun 2019; 10:938. [PMID: 30808875 PMCID: PMC6391383 DOI: 10.1038/s41467-019-08845-3] [Citation(s) in RCA: 37] [Impact Index Per Article: 7.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2018] [Accepted: 02/04/2019] [Indexed: 12/21/2022] Open
Abstract
Little is known about enduring memory B cell (MBC) responses to Zika virus (ZIKV) and their relationship with circulating antibodies. Here we comprehensively assess MBC frequency and specificity alongside serum binding and neutralizing antibody responses to ZIKV ~2 weeks and ~8 months postinfection in 31 pediatric subjects with 0, 1 or >1 prior infections with the related dengue virus (DENV). ZIKV infection elicits a robust type-specific MBC response, and the majority of late convalescent anti-ZIKV serum neutralizing activity is attributable to ZIKV-specific antibodies. The number of prior DENV infections does not influence type-specific or cross-reactive MBC responses, although ZIKV has the highest cross-reactivity with DENV3. DENV cross-reactive MBCs expanded by ZIKV infection decline in number and proportion by late convalescence. Finally, ZIKV induces greater cross-reactivity in the MBC pool than in serum antibodies. Our data suggest immunity to DENV only modestly shapes breadth and magnitude of enduring ZIKV antibody responses.
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Affiliation(s)
- Paulina Andrade
- Division of Infectious Diseases and Vaccinology, School of Public Health, University of California, Berkeley, Berkeley, CA, 94720-3370, USA
- Colegio de Ciencias Biológicas y Ambientales, Universidad San Francisco de Quito, Quito, EC170157, Ecuador
| | - Ciara Gimblet-Ochieng
- Department of Microbiology and Immunology, University of North Carolina, Chapel Hill, NC, 27599-7292, USA
| | - Faraz Modirian
- Division of Infectious Diseases and Vaccinology, School of Public Health, University of California, Berkeley, Berkeley, CA, 94720-3370, USA
| | - Matthew Collins
- Department of Microbiology and Immunology, University of North Carolina, Chapel Hill, NC, 27599-7292, USA
- Hope Clinic of the Emory Vaccine Center, Division of Infectious Diseases, Department of Medicine, School of Medicine, Emory University, Decatur, GA, 30030, USA
| | - Maritza Cárdenas
- Division of Infectious Diseases and Vaccinology, School of Public Health, University of California, Berkeley, Berkeley, CA, 94720-3370, USA
| | - Leah C Katzelnick
- Division of Infectious Diseases and Vaccinology, School of Public Health, University of California, Berkeley, Berkeley, CA, 94720-3370, USA
| | - Magelda Montoya
- Division of Infectious Diseases and Vaccinology, School of Public Health, University of California, Berkeley, Berkeley, CA, 94720-3370, USA
| | - Daniela Michlmayr
- Division of Infectious Diseases and Vaccinology, School of Public Health, University of California, Berkeley, Berkeley, CA, 94720-3370, USA
| | - Guillermina Kuan
- Centro de Salud Sócrates Flores Vivas, Ministry of Health, Managua, 12014, Nicaragua
- Sustainable Sciences Institute, Managua, 14007, Nicaragua
| | - Angel Balmaseda
- Sustainable Sciences Institute, Managua, 14007, Nicaragua
- Laboratorio Nacional de Virología, Centro Nacional de Diagnóstico y Referencia, Ministry of Health, Managua, 16064, Nicaragua
| | - Josefina Coloma
- Division of Infectious Diseases and Vaccinology, School of Public Health, University of California, Berkeley, Berkeley, CA, 94720-3370, USA
| | - Aravinda M de Silva
- Department of Microbiology and Immunology, University of North Carolina, Chapel Hill, NC, 27599-7292, USA
| | - Eva Harris
- Division of Infectious Diseases and Vaccinology, School of Public Health, University of California, Berkeley, Berkeley, CA, 94720-3370, USA.
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