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Cintra AM, Noda-Nicolau NM, Soman MLDO, Affonso PHDA, Valente GT, Grotto RMT. The Main Arboviruses and Virus Detection Methods in Vectors: Current Approaches and Future Perspectives. Pathogens 2025; 14:416. [PMID: 40430737 PMCID: PMC12114347 DOI: 10.3390/pathogens14050416] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2025] [Revised: 04/16/2025] [Accepted: 04/23/2025] [Indexed: 05/29/2025] Open
Abstract
Arthropod-borne viruses (arboviruses) represent a growing concern for global public and veterinary health, with cases reported across all continents. This review presents a broad overview of the geographic distribution of arboviruses transmitted by insect vectors, emphasizing the importance of early viral detection as a cornerstone of surveillance and outbreak preparedness. Special attention is given to the phenomenon of zoonotic spillover, where viruses maintained in natural transmission cycles often involving wildlife reservoirs and arthropod vectors cross into human populations, triggering emergent or re-emergent outbreaks. This article discusses key arboviral families of medical and veterinary significance, including Togaviridae, Flaviviridae, Nairoviridae, Phenuiviridae, Peribunyaviridae, and Orthomyxoviridae, highlighting their molecular and structural characteristics. These features are essential for guiding the development and implementation of specific and sensitive detection strategies. In addition, this work provides a comparative analysis of diverse laboratory methodologies for viral detection in vectors. From serological assays and viral isolation to advanced molecular tools and next-generation sequencing, we explore their principles, practical applications, and context-dependent advantages and limitations. By compiling this information, we aim to support researchers and public health professionals in selecting the most appropriate tools for vector surveillance, ultimately contributing to improved response strategies in the face of arboviral threats.
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Affiliation(s)
- Amanda Montezano Cintra
- Multiuser Central Laboratory, School of Agricultural Sciences, São Paulo State University (UNESP), Botucatu 18618-687, Brazil; (A.M.C.); (N.M.N.-N.); (M.L.d.O.S.); (P.H.d.A.A.)
| | - Nathália Mayumi Noda-Nicolau
- Multiuser Central Laboratory, School of Agricultural Sciences, São Paulo State University (UNESP), Botucatu 18618-687, Brazil; (A.M.C.); (N.M.N.-N.); (M.L.d.O.S.); (P.H.d.A.A.)
| | - Milena Leite de Oliveira Soman
- Multiuser Central Laboratory, School of Agricultural Sciences, São Paulo State University (UNESP), Botucatu 18618-687, Brazil; (A.M.C.); (N.M.N.-N.); (M.L.d.O.S.); (P.H.d.A.A.)
| | - Pedro Henrique de Andrade Affonso
- Multiuser Central Laboratory, School of Agricultural Sciences, São Paulo State University (UNESP), Botucatu 18618-687, Brazil; (A.M.C.); (N.M.N.-N.); (M.L.d.O.S.); (P.H.d.A.A.)
| | - Guilherme Targino Valente
- Clinical Hospital of School Medicine of São Paulo State University, São Paulo State University (UNESP), Botucatu 18618-970, Brazil;
| | - Rejane Maria Tommasini Grotto
- Multiuser Central Laboratory, School of Agricultural Sciences, São Paulo State University (UNESP), Botucatu 18618-687, Brazil; (A.M.C.); (N.M.N.-N.); (M.L.d.O.S.); (P.H.d.A.A.)
- Clinical Hospital of School Medicine of São Paulo State University, São Paulo State University (UNESP), Botucatu 18618-970, Brazil;
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Carvalho AS, Pereira-Silva GC, Andrade JMP, Ferreira WS, Weissmüller G, Saraiva EM, Da Poian AT. DNA Extracellular Traps Released by Mayaro Virus-Infected Macrophages Act as a Platform for Virus Dissemination. J Med Virol 2025; 97:e70262. [PMID: 40007117 DOI: 10.1002/jmv.70262] [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: 09/04/2024] [Revised: 02/05/2025] [Accepted: 02/11/2025] [Indexed: 02/27/2025]
Abstract
Mayaro virus (MAYV) is an arthritogenic arbovirus that causes a debilitating illness that can progress to a chronic rheumatic disease characterized by persistent viral replication in macrophages within joint tissues. Here, we report that MAYV-infected macrophages release decondensed DNA traps (DNA extracellular traps, DETs) through a mechanism driven by the production of reactive oxygen species and peptidyl arginine deiminase activation, resembling the classical mechanism of pathogen clearance by activated neutrophils. Unlike traditional pathogen clearance observed for NETs released by neutrophils, MAYV-induced DETs did not inactivate the virus. Instead, DET-ensnared viruses are internalized by neighboring uninfected macrophages, increasing the number of infected cells. Collectively, these findings suggest that MAYV-containing DETs act as a "Trojan horse" that facilitates viral dissemination within inflamed tissues, connecting macrophage-mediated inflammatory response to viral persistence in the articular tissue in chronic MAYV disease.
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Affiliation(s)
- Ana S Carvalho
- Instituto de Bioquímica Médica Leopoldo de Meis, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil
| | - Gean Carlo Pereira-Silva
- Institudo de Microbiologia Paulo de Goes, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil
| | - Julia M P Andrade
- Instituto de Bioquímica Médica Leopoldo de Meis, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil
| | - Wellington S Ferreira
- Instituto de Biofísica Carlos Chagas Filho, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil
| | - Gilberto Weissmüller
- Instituto de Biofísica Carlos Chagas Filho, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil
| | - Elvira M Saraiva
- Institudo de Microbiologia Paulo de Goes, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil
| | - Andrea T Da Poian
- Instituto de Bioquímica Médica Leopoldo de Meis, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil
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Perez-Restrepo LS, Ciuoderis K, Usuga J, Moreno I, Vargas V, Arévalo-Arbelaez AJ, Berg MG, Cloherty GA, Hernández-Ortiz JP, Osorio JE. Mayaro Virus as the cause of Acute Febrile Illness in the Colombian Amazon Basin. Front Microbiol 2024; 15:1419637. [PMID: 39044955 PMCID: PMC11263195 DOI: 10.3389/fmicb.2024.1419637] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2024] [Accepted: 06/25/2024] [Indexed: 07/25/2024] Open
Abstract
Introduction Mayaro Fever (MF) is a tropical disease caused by the Mayaro virus (MAYV), with outbreaks documented in Latin America. Methods A hospital-based fever surveillance in Leticia, Colombian Amazon, collected sera from 1,460 patients aged 5-89 between December 2020 and April 2023. Results Dengue and malaria were the main diagnoses (19.4 and 5.8%, respectively), leaving 71.4% of cases unidentified after testing. Metagenomic sequencing and real-time RT-qPCR testing identified MAYV in two patients (25-year-old male and an 80-year-old female) exhibiting typical symptoms, of MF including rash, joint pain, and fever. Phylogenetics analysis of these two viruses revealed a close relationship to Peruvian strains within the MAYV D genotype. Discussion The study of AFI in Leticia, Colombia, identified dengue as prevalent, with malaria, COVID-19, Influenza, and Zika viruses also detected. Despite extensive testing, most cases remained unexplained until metagenomic sequencing revealed MAYV, previously unseen in Colombia but known in neighboring countries. Conclusion This study presents the first near full-length genomes of MAYV in Colombia, highlighting the need for further seroprevalence studies and enhanced surveillance to understand and control the spread of the virus in the region.
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Affiliation(s)
- Laura S. Perez-Restrepo
- GHI One Health Colombia, Universidad Nacional de Colombia, Medellín, Colombia
- Abbott Pandemic Defense Coalition, Chicago, IL, United States
| | - Karl Ciuoderis
- GHI One Health Colombia, Universidad Nacional de Colombia, Medellín, Colombia
- Abbott Pandemic Defense Coalition, Chicago, IL, United States
| | - Jaime Usuga
- GHI One Health Colombia, Universidad Nacional de Colombia, Medellín, Colombia
- Abbott Pandemic Defense Coalition, Chicago, IL, United States
| | - Isabel Moreno
- GHI One Health Colombia, Universidad Nacional de Colombia, Medellín, Colombia
- Abbott Pandemic Defense Coalition, Chicago, IL, United States
| | - Vanessa Vargas
- GHI One Health Colombia, Universidad Nacional de Colombia, Medellín, Colombia
- Abbott Pandemic Defense Coalition, Chicago, IL, United States
| | - Angela J. Arévalo-Arbelaez
- GHI One Health Colombia, Universidad Nacional de Colombia, Medellín, Colombia
- Abbott Pandemic Defense Coalition, Chicago, IL, United States
| | - Michael G. Berg
- Abbott Pandemic Defense Coalition, Chicago, IL, United States
- Infectious Diseases Research, Abbott Diagnostics, Abbott Park, IL, United States
| | - Gavin A. Cloherty
- Abbott Pandemic Defense Coalition, Chicago, IL, United States
- Infectious Diseases Research, Abbott Diagnostics, Abbott Park, IL, United States
| | - Juan Pablo Hernández-Ortiz
- GHI One Health Colombia, Universidad Nacional de Colombia, Medellín, Colombia
- Abbott Pandemic Defense Coalition, Chicago, IL, United States
- Faculty of Life Sciences, Universidad Nacional de Colombia, Medellín, Colombia
| | - Jorge E. Osorio
- GHI One Health Colombia, Universidad Nacional de Colombia, Medellín, Colombia
- Abbott Pandemic Defense Coalition, Chicago, IL, United States
- Department of Pathobiological Sciences, School of Veterinary Medicine, University of Wisconsin, Madison, WI, United States
- Global Health Institute, University of Wisconsin, Madison, WI, United States
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Celone M, Beeman S, Han BA, Potter AM, Pecor DB, Okech B, Pollett S. Understanding transmission risk and predicting environmental suitability for Mayaro Virus in Central and South America. PLoS Negl Trop Dis 2024; 18:e0011859. [PMID: 38194417 PMCID: PMC10775973 DOI: 10.1371/journal.pntd.0011859] [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: 06/10/2023] [Accepted: 12/12/2023] [Indexed: 01/11/2024] Open
Abstract
Mayaro virus (MAYV) is a mosquito-borne Alphavirus that is widespread in South America. MAYV infection often presents with non-specific febrile symptoms but may progress to debilitating chronic arthritis or arthralgia. Despite the pandemic threat of MAYV, its true distribution remains unknown. The objective of this study was to clarify the geographic distribution of MAYV using an established risk mapping framework. This consisted of generating evidence consensus scores for MAYV presence, modeling the potential distribution of MAYV in select countries across Central and South America, and estimating the population residing in areas suitable for MAYV transmission. We compiled a georeferenced compendium of MAYV occurrence in humans, animals, and arthropods. Based on an established evidence consensus framework, we integrated multiple information sources to assess the total evidence supporting ongoing transmission of MAYV within each country in our study region. We then developed high resolution maps of the disease's estimated distribution using a boosted regression tree approach. Models were developed using nine climatic and environmental covariates that are related to the MAYV transmission cycle. Using the output of our boosted regression tree models, we estimated the total population living in regions suitable for MAYV transmission. The evidence consensus scores revealed high or very high evidence of MAYV transmission in several countries including Brazil (especially the states of Mato Grosso and Goiás), Venezuela, Peru, Trinidad and Tobago, and French Guiana. According to the boosted regression tree models, a substantial region of South America is suitable for MAYV transmission, including north and central Brazil, French Guiana, and Suriname. Some regions (e.g., Guyana) with only moderate evidence of known transmission were identified as highly suitable for MAYV. We estimate that approximately 58.9 million people (95% CI: 21.4-100.4) in Central and South America live in areas that may be suitable for MAYV transmission, including 46.2 million people (95% CI: 17.6-68.9) in Brazil. Our results may assist in prioritizing high-risk areas for vector control, human disease surveillance and ecological studies.
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Affiliation(s)
- Michael Celone
- Department of Preventive Medicine & Biostatistics, Uniformed Services University of the Health Sciences, F. Edward Hébert School of Medicine, Bethesda, Maryland, United States of America
| | - Sean Beeman
- Department of Preventive Medicine & Biostatistics, Uniformed Services University of the Health Sciences, F. Edward Hébert School of Medicine, Bethesda, Maryland, United States of America
| | - Barbara A. Han
- Cary Institute of Ecosystem Studies, Millbrook, New York, United States of America
| | - Alexander M. Potter
- One Health Branch, Walter Reed Army Institute of Research, Silver Spring, Maryland, United States of America
- Walter Reed Biosystematics Unit, Smithsonian Museum Support Center, Suitland, Maryland, United States of America
- Department of Entomology, Smithsonian Institution—National Museum of Natural History (NMNH), Washington, DC, United States of America
| | - David B. Pecor
- One Health Branch, Walter Reed Army Institute of Research, Silver Spring, Maryland, United States of America
- Walter Reed Biosystematics Unit, Smithsonian Museum Support Center, Suitland, Maryland, United States of America
- Department of Entomology, Smithsonian Institution—National Museum of Natural History (NMNH), Washington, DC, United States of America
| | - Bernard Okech
- Department of Preventive Medicine & Biostatistics, Uniformed Services University of the Health Sciences, F. Edward Hébert School of Medicine, Bethesda, Maryland, United States of America
| | - Simon Pollett
- Infectious Disease Clinical Research Program, Department of Preventive Medicine and Biostatistics, Uniformed Services University of the Health Sciences, Bethesda, Maryland, United States of America
- Henry M. Jackson Foundation for the Advancement of Military Medicine, Inc., Bethesda, Maryland, United States of America
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Celone M, Potter AM, Han BA, Beeman SP, Okech B, Forshey B, Dunford J, Rutherford G, Mita-Mendoza NK, Estallo EL, Khouri R, de Siqueira IC, Petersen K, Maves RC, Anyamba A, Pollett S. A geopositioned and evidence-graded pan-species compendium of Mayaro virus occurrence. Sci Data 2023; 10:460. [PMID: 37452060 PMCID: PMC10349107 DOI: 10.1038/s41597-023-02302-z] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2022] [Accepted: 06/12/2023] [Indexed: 07/18/2023] Open
Abstract
Mayaro Virus (MAYV) is an emerging health threat in the Americas that can cause febrile illness as well as debilitating arthralgia or arthritis. To better understand the geographic distribution of MAYV risk, we developed a georeferenced database of MAYV occurrence based on peer-reviewed literature and unpublished reports. Here we present this compendium, which includes both point and polygon locations linked to occurrence data documented from its discovery in 1954 until 2022. We describe all methods used to develop the database including data collection, georeferencing, management and quality-control. We also describe a customized grading system used to assess the quality of each study included in our review. The result is a comprehensive, evidence-graded database of confirmed MAYV occurrence in humans, non-human animals, and arthropods to-date, containing 262 geo-positioned occurrences in total. This database - which can be updated over time - may be useful for local spill-over risk assessment, epidemiological modelling to understand key transmission dynamics and drivers of MAYV spread, as well as identification of major surveillance gaps.
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Affiliation(s)
- Michael Celone
- Uniformed Services University of the Health Sciences, F. Edward Hébert School of Medicine, Department of Preventive Medicine & Biostatistics, Bethesda, Maryland, 20814, USA.
| | - Alexander M Potter
- Department of Entomology, Walter Reed Army Institute of Research, Silver Spring, Maryland, 20910, USA
- Walter Reed Biosystematics Unit, Suitland, Maryland, 20746, USA
| | - Barbara A Han
- Cary Institute of Ecosystem Studies, Millbrook, New York, 12545, USA
| | - Sean P Beeman
- Uniformed Services University of the Health Sciences, F. Edward Hébert School of Medicine, Department of Preventive Medicine & Biostatistics, Bethesda, Maryland, 20814, USA
| | - Bernard Okech
- Uniformed Services University of the Health Sciences, F. Edward Hébert School of Medicine, Department of Preventive Medicine & Biostatistics, Bethesda, Maryland, 20814, USA
| | - Brett Forshey
- Armed Forces Health Surveillance Division, Silver Spring, Maryland, 20904, USA
| | - James Dunford
- Uniformed Services University of the Health Sciences, F. Edward Hébert School of Medicine, Department of Preventive Medicine & Biostatistics, Bethesda, Maryland, 20814, USA
| | - George Rutherford
- Institute for Global Health Sciences, University of California San Francisco, San Francisco, California, 94158, USA
| | | | - Elizabet Lilia Estallo
- Instituto de Investigaciones Biológicas y Tecnológicas, Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET)-Universidad Nacional de Córdoba, Córdoba, Argentina
| | - Ricardo Khouri
- Instituto Gonçalo Moniz-Fiocruz, R. Waldemar Falcão, Salvador-BA, Brazil
| | | | - Kyle Petersen
- Uniformed Services University of the Health Sciences, F. Edward Hébert School of Medicine, Department of Preventive Medicine & Biostatistics, Bethesda, Maryland, 20814, USA
| | - Ryan C Maves
- Section of Infectious Diseases, Wake Forest University School of Medicine, Winston-Salem, NC, USA
- Infectious Disease Clinical Research Program, Department of Preventive Medicine and Biostatistics, Uniformed Services University of the Health Sciences, Bethesda, MD, USA
| | - Assaf Anyamba
- Geospatial Science and Human Security Division, Oak Ridge National Laboratory, One Bethel Valley Road, Oak Ridge, Tennessee, 37830, USA
| | - Simon Pollett
- Infectious Disease Clinical Research Program, Department of Preventive Medicine and Biostatistics, Uniformed Services University of the Health Sciences, Bethesda, MD, USA.
- Henry M. Jackson Foundation for the Advancement of Military Medicine, Inc, Bethesda, MD, USA.
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