Literature DB >> 27683027

Mobile real-time surveillance of Zika virus in Brazil.

Nuno Rodrigues Faria1, Ester C Sabino2, Marcio R T Nunes3,4, Luiz Carlos Junior Alcantara5, Nicholas J Loman6, Oliver G Pybus1.   

Abstract

The World Health Organization has declared Zika virus an international public health emergency. Knowledge of Zika virus genomic epidemiology is currently limited due to challenges in obtaining and processing samples for sequencing. The ZiBRA project is a United Kingdom-Brazil collaboration that aims to improve this situation using new sequencing technologies.

Entities:  

Year:  2016        PMID: 27683027      PMCID: PMC5041528          DOI: 10.1186/s13073-016-0356-2

Source DB:  PubMed          Journal:  Genome Med        ISSN: 1756-994X            Impact factor:   11.117


Background to the Zika epidemic

On 1 February 2016, the World Health Organization declared a Public Health Emergency of International Concern in response to the transmission of Zika virus (ZIKV) in the Americas and beyond. Although ZIKV was first isolated as early as 1947, only 13 naturally occurring cases were identified in the six decades following its discovery, in Nigeria, Malaysia, and Indonesia [1]. The profile of the virus changed in 2007, when an outbreak of ZIKV was reported in the Yap islands, Micronesia, after which three-quarters of the local population are estimated to have been infected [1]. Between 2012 and 2014 the Asian genotype of ZIKV spread through Southeast Asia and the Western Pacific, before eventually reaching the Americas. The first suspected cases of ZIKV infection in the Americas were detected in Brazil in early March 2015 in Natal (Rio Grande do Norte state) [2] and Camaçari (Bahia state) [3]. These two cities in the northeast of Brazil are located more than 1000 km apart. A year after its first detection, a preliminary analysis of Brazilian ZIKV genome sequences estimated that ZIKV reached the Americas between May and December 2013, most likely through a chance importation event that coincides with an increasing number of air passengers to Brazil from plausible source locations [4]. At the time of writing, the Asian genotype of ZIKV has spread to 65 countries (Fig. 1) [5] and Brazil remains the country with the highest cumulative number of cases. A growing, but still incomplete, body of evidence points towards an association between ZIKV infection and serious disease, including microcephaly in newborns and Guillain–Barré syndrome [6].
Fig. 1

Number of whole virus genomes available for the Asian genotype of Zika virus present in the Americas and beyond. The bar plot shows the cumulative number of Zika virus (ZIKV) genomes from each World Health Organization (WHO) geographic region (see key). The dashed black line indicates the cumulative number of countries affected by the 2015–2016 ZIKV epidemic as of 14 July 2016 [5]. The red line indicates the cumulative number of notified cases in Brazil according to the Brazilian Ministry of Health. An estimate of the sampling proportion (number of ZIKV genomes from Brazil per 10,000 ZIKV notified cases in Brazil) is shown above each bar, from 2015 onwards. Dec December, Jun June

Number of whole virus genomes available for the Asian genotype of Zika virus present in the Americas and beyond. The bar plot shows the cumulative number of Zika virus (ZIKV) genomes from each World Health Organization (WHO) geographic region (see key). The dashed black line indicates the cumulative number of countries affected by the 2015–2016 ZIKV epidemic as of 14 July 2016 [5]. The red line indicates the cumulative number of notified cases in Brazil according to the Brazilian Ministry of Health. An estimate of the sampling proportion (number of ZIKV genomes from Brazil per 10,000 ZIKV notified cases in Brazil) is shown above each bar, from 2015 onwards. Dec December, Jun June

Virus genomes in epidemiology

Viral molecular sequences can play an important role in tackling emerging epidemics and were widely used to understand the 2009 H1N1 influenza pandemic and the spread of Ebola virus in West Africa in 2013–2016 (for example, [7]). Sampled genomes enable us to quantify viral genetic diversity, reconstruct epidemic origins, estimate rates of transmission, and provide background information for vaccine development and drug design. Despite this, there is a paucity of complete genome sequences for ZIKV (Fig. 1). Until July 2016, only 23 ZIKV genomes from Brazil were publically available, yet over 190,000 suspected Zika cases have been reported to the Brazilian Ministry of Health since 2015. This equates to just 1.2 ZIKV genome sequences per 10,000 suspected infections. Consequently, we have only a fragmentary picture of the diversity of ZIKV circulating in the country. In comparison, the West African Ebola epidemic was densely sampled and sequenced; in total, researchers generated full virus genomes for more than 5 % of all known Ebola virus cases in West Africa between 2014 and 2016. Detection of ZIKV cases in Brazil is complicated by the co-circulation of Zika, dengue, and chikungunya viruses in the country [8], the clinical symptoms of which overlap with those of ZIKV, and by the fact that many Zika infections cause only mild disease and therefore go unreported. Indeed, recent estimates of the true number of ZIKV cases suggest there were 37.4 million infections during 2015 alone [9]. If true, this lowers the sampling proportion to 0.0054 sequenced genomes per 10,000 infections in Brazil during 2015.

Dearth of Zika virus genomes

Why are so few ZIKV genomes available more than a year after the virus was discovered in the Americas? Data from the Zika Open Research Portal (https://zika.labkey.com) suggest that, in an animal model of infection, ZIKV viral load reaches a maximum only 1–2 days after virus infection. Furthermore, in humans, it seems that viral load peaks within a week of onset of clinical symptoms [1]. The early peak in viremia, combined with mild symptoms for many ZIKV infections, means that there is often little virus left for sequencing when clinical samples (usually serum) are taken from patients with suspected ZIKV infection. Consequently, it has proven comparatively difficult to obtain full ZIKV genomes directly from clinical material without enrichment (for example, http://andersen-lab.com/zika-virus-pilot). Most commonly this is undertaken by growth in cell culture, but this method is laborious and has the potential to introduce culture-specific genetic changes. An alternative approach is genome-tiling PCR, a technique used to good effect on Ebola virus but which requires labor-intensive protocol development and testing for good results. In order to improve this situation we initiated a pilot project—the Zika in Brazil Real-time Analysis (ZiBRA) project—which aims to improve the molecular surveillance and sequencing of ZIKV in Brazil through collaboration and capacity building with a number of Brazilian research groups and institutions. ZiBRA aims to share data and results as soon as they are finished and updates are provided on the ZiBRA website (http://zibraproject.github.io). The founding ZiBRA team comprised 16 members, 14 of whom are from three Brazilian institutes: the University of Sao Paulo, FioCruz Bahia, and the Instituto Evandro Chagas. Further support has been provided by the Ministry of Health in Brazil. The project officially started in June 2016 and aims to address the following four questions. First, what is the extent of the genetic diversity of ZIKV circulating in Brazil? This information is useful for vaccine design and for improving existing molecular diagnostic methods. Second, when and where was the virus introduced in the country? Better estimates of the dates of ZIKV introduction into each region will help epidemiologists to correctly determine the pre-ZIKV baseline level of microcephaly in each state. We will also test the hypothesis that ZIKV arrived first in Brazil, before spreading to other countries in the Americas [4]. Third, what are the trends and drivers of virus spread through Brazilian states and municipalities? We aim to build retrospective and predictive models of virus spread that will enable real-time tracking and forecasting of the spread of arthropod-borne viruses in Brazil. Fourth, are there associations between changes in the ZIKV genome and the likelihood of ZIKV complications such as microcephaly and Guillain–Barré? No such associations have yet been found, but the hypothesis is sufficiently important to warrant careful monitoring. Between 2 and 17 June 2016, the ZiBRA project undertook fieldwork in a mobile laboratory that travelled across five federal states in the Northeast region of Brazil. This region was chosen because it contained locations with the highest numbers of notified ZIKV cases and cases of suspected microcephaly and congenital malformation. During this fieldwork we used the MinION, an innovative real-time portable genome sequencing device developed by Oxford Nanopore, which had previously been successful in characterizing the genomic diversity of Ebola virus in Guinea [7]. In Brazil, the MinION was used to perform portable whole-genome sequencing after tiling PCR. Clinical diagnosis of suspected ZIKV cases in Brazil is performed by local clinicians, who then send patient samples (most commonly serum) to the local Central Laboratory of Public Health (LACEN), usually located in the capital city of each federal state, from where they are sent to a reference laboratory for molecular confirmation by PCR. However, during the ZiBRA fieldtrip, we found that many samples sent by the LACENs were still awaiting testing. Backlogs were caused by the unprecedented scale of the Zika public health emergency and by the fact that the laboratories must also cope with cases of suspected chikungunya and dengue virus infection, viruses that co-circulate in the same regions. Fast turnaround of molecular diagnostic results is clearly needed; some LACENs reported waiting 9 months between the date of sample collection and delivery of diagnostic results.

Early results from the ZiBRA project

The ZiBRA team, with the help of LACEN personnel, tested 1349 samples for ZIKV RNA across Rio Grande do Norte, Paraíba, Recife, Maceió, and Bahia states, using previously described protocols [10] and the Rotor-Gene Q (Qiagen). Of these 1349 samples, approximately 14 % were sampled in 2015 and 86 % in 2016. In addition, two entomologists from Instituto Evandro Chagas, supported by personnel from local LACENs and Municipal Health Secretaries, captured more than 850 mosquitoes during the field trip from seven different species across 19 geographic locations. During the trip we trained all ZiBRA team members to perform PCR and sequencing using the Oxford Nanopore MinION platform and undertook sequencing of a set of samples. However, we found that most of the genomes generated during the fieldwork were fragmentary, often having less than 50 % coverage. This is likely due to the low amounts of virus in the samples. More recently, we developed a second version of our multiplexed tiling PCR protocol, details of which are available on the ZiBRA website (http://zibraproject.github.io). As part of our commitment to open science practices, both the protocol and materials are freely available through our website in advance of formal publication. This open analysis enables Zika research to move forward faster internationally: weeks after publishing our multiplex PCR protocol, Kristian Andersen’s laboratory at the Scripps Research Institute adopted it for sequencing of clinical samples from the United States. They rapidly modified it to support the Illumina platform and subsequently released their protocol openly for others to use (http://andersen-lab.com/miseq-protocol-zika-virus-sequencing/).

Next steps

Complete genomic characterization of the ZIKV RNA-positive samples identified by ZiBRA will provide a framework for reconstructing the epidemic trajectories taken by ZIKV in the Americas and for tracking its spread into other geographic regions. We hope that ZiBRA will illustrate the practicality and benefits of open science and real-time data sharing during a public health emergency. Through our partnership with the Brazilian Ministry of Health, we shared all PCR results with the LACENs within 48 hours of analysis. In the future, we and a growing network of Brazilian scientists aim to extend the pilot ZiBRA project to a national scale, in order to establish a Brazilian surveillance network capable of detecting and characterizing a broad range of arboviruses in real-time.
  9 in total

Review 1.  Zika Virus.

Authors:  Lyle R Petersen; Denise J Jamieson; Ann M Powers; Margaret A Honein
Journal:  N Engl J Med       Date:  2016-03-30       Impact factor: 91.245

2.  Zika Virus and Microcephaly.

Authors:  Eric J Rubin; Michael F Greene; Lindsey R Baden
Journal:  N Engl J Med       Date:  2016-02-10       Impact factor: 91.245

3.  Model-based projections of Zika virus infections in childbearing women in the Americas.

Authors:  T Alex Perkins; Amir S Siraj; Corrine W Ruktanonchai; Moritz U G Kraemer; Andrew J Tatem
Journal:  Nat Microbiol       Date:  2016-07-25       Impact factor: 17.745

4.  First report of autochthonous transmission of Zika virus in Brazil.

Authors:  Camila Zanluca; Vanessa Campos Andrade de Melo; Ana Luiza Pamplona Mosimann; Glauco Igor Viana Dos Santos; Claudia Nunes Duarte Dos Santos; Kleber Luz
Journal:  Mem Inst Oswaldo Cruz       Date:  2015-06-09       Impact factor: 2.743

5.  Emergence and potential for spread of Chikungunya virus in Brazil.

Authors:  Marcio Roberto Teixeira Nunes; Nuno Rodrigues Faria; Janaina Mota de Vasconcelos; Nick Golding; Moritz U G Kraemer; Layanna Freitas de Oliveira; Raimunda do Socorro da Silva Azevedo; Daisy Elaine Andrade da Silva; Eliana Vieira Pinto da Silva; Sandro Patroca da Silva; Valéria Lima Carvalho; Giovanini Evelim Coelho; Ana Cecília Ribeiro Cruz; Sueli Guerreiro Rodrigues; Joao Lídio da Silva Gonçalves Vianez; Bruno Tardelli Diniz Nunes; Jedson Ferreira Cardoso; Robert B Tesh; Simon I Hay; Oliver G Pybus; Pedro Fernando da Costa Vasconcelos
Journal:  BMC Med       Date:  2015-04-30       Impact factor: 8.775

6.  Zika Virus Outbreak, Bahia, Brazil.

Authors:  Gubio S Campos; Antonio C Bandeira; Silvia I Sardi
Journal:  Emerg Infect Dis       Date:  2015-10       Impact factor: 6.883

7.  Zika virus in the Americas: Early epidemiological and genetic findings.

Authors:  Nuno Rodrigues Faria; Raimunda do Socorro da Silva Azevedo; Oliver G Pybus; Marcio R T Nunes; Pedro F C Vasconcelos; Moritz U G Kraemer; Renato Souza; Mariana Sequetin Cunha; Sarah C Hill; Julien Thézé; Michael B Bonsall; Thomas A Bowden; Ilona Rissanen; Iray Maria Rocco; Juliana Silva Nogueira; Adriana Yurika Maeda; Fernanda Giseli da Silva Vasami; Fernando Luiz de Lima Macedo; Akemi Suzuki; Sueli Guerreiro Rodrigues; Ana Cecilia Ribeiro Cruz; Bruno Tardeli Nunes; Daniele Barbosa de Almeida Medeiros; Daniela Sueli Guerreiro Rodrigues; Alice Louize Nunes Queiroz; Eliana Vieira Pinto da Silva; Daniele Freitas Henriques; Elisabeth Salbe Travassos da Rosa; Consuelo Silva de Oliveira; Livia Caricio Martins; Helena Baldez Vasconcelos; Livia Medeiros Neves Casseb; Darlene de Brito Simith; Jane P Messina; Leandro Abade; José Lourenço; Luiz Carlos Junior Alcantara; Maricélia Maia de Lima; Marta Giovanetti; Simon I Hay; Rodrigo Santos de Oliveira; Poliana da Silva Lemos; Layanna Freitas de Oliveira; Clayton Pereira Silva de Lima; Sandro Patroca da Silva; Janaina Mota de Vasconcelos; Luciano Franco; Jedson Ferreira Cardoso; João Lídio da Silva Gonçalves Vianez-Júnior; Daiana Mir; Gonzalo Bello; Edson Delatorre; Kamran Khan; Marisa Creatore; Giovanini Evelim Coelho; Wanderson Kleber de Oliveira; Robert Tesh
Journal:  Science       Date:  2016-03-24       Impact factor: 47.728

8.  Genetic and serologic properties of Zika virus associated with an epidemic, Yap State, Micronesia, 2007.

Authors:  Robert S Lanciotti; Olga L Kosoy; Janeen J Laven; Jason O Velez; Amy J Lambert; Alison J Johnson; Stephanie M Stanfield; Mark R Duffy
Journal:  Emerg Infect Dis       Date:  2008-08       Impact factor: 6.883

9.  Real-time, portable genome sequencing for Ebola surveillance.

Authors:  Joshua Quick; Nicholas J Loman; Sophie Duraffour; Jared T Simpson; Ettore Severi; Lauren Cowley; Joseph Akoi Bore; Raymond Koundouno; Gytis Dudas; Amy Mikhail; Nobila Ouédraogo; Babak Afrough; Amadou Bah; Jonathan Hj Baum; Beate Becker-Ziaja; Jan-Peter Boettcher; Mar Cabeza-Cabrerizo; Alvaro Camino-Sanchez; Lisa L Carter; Juiliane Doerrbecker; Theresa Enkirch; Isabel Graciela García Dorival; Nicole Hetzelt; Julia Hinzmann; Tobias Holm; Liana Eleni Kafetzopoulou; Michel Koropogui; Abigail Kosgey; Eeva Kuisma; Christopher H Logue; Antonio Mazzarelli; Sarah Meisel; Marc Mertens; Janine Michel; Didier Ngabo; Katja Nitzsche; Elisa Pallash; Livia Victoria Patrono; Jasmine Portmann; Johanna Gabriella Repits; Natasha Yasmin Rickett; Andrea Sachse; Katrin Singethan; Inês Vitoriano; Rahel L Yemanaberhan; Elsa G Zekeng; Racine Trina; Alexander Bello; Amadou Alpha Sall; Ousmane Faye; Oumar Faye; N'Faly Magassouba; Cecelia V Williams; Victoria Amburgey; Linda Winona; Emily Davis; Jon Gerlach; Franck Washington; Vanessa Monteil; Marine Jourdain; Marion Bererd; Alimou Camara; Hermann Somlare; Abdoulaye Camara; Marianne Gerard; Guillaume Bado; Bernard Baillet; Déborah Delaune; Koumpingnin Yacouba Nebie; Abdoulaye Diarra; Yacouba Savane; Raymond Bernard Pallawo; Giovanna Jaramillo Gutierrez; Natacha Milhano; Isabelle Roger; Christopher J Williams; Facinet Yattara; Kuiama Lewandowski; Jamie Taylor; Philip Rachwal; Daniel Turner; Georgios Pollakis; Julian A Hiscox; David A Matthews; Matthew K O'Shea; Andrew McD Johnston; Duncan Wilson; Emma Hutley; Erasmus Smit; Antonino Di Caro; Roman Woelfel; Kilian Stoecker; Erna Fleischmann; Martin Gabriel; Simon A Weller; Lamine Koivogui; Boubacar Diallo; Sakoba Keita; Andrew Rambaut; Pierre Formenty; Stephan Gunther; Miles W Carroll
Journal:  Nature       Date:  2016-02-03       Impact factor: 69.504

  9 in total
  66 in total

1.  StrainHub: a phylogenetic tool to construct pathogen transmission networks.

Authors:  Adriano de Bernardi Schneider; Colby T Ford; Reilly Hostager; John Williams; Michael Cioce; Ümit V Çatalyürek; Joel O Wertheim; Daniel Janies
Journal:  Bioinformatics       Date:  2020-02-01       Impact factor: 6.937

2.  Outbreak science: recent progress in the detection and response to outbreaks of infectious diseases.

Authors:  Catherine F Houlihan; James Ag Whitworth
Journal:  Clin Med (Lond)       Date:  2019-03       Impact factor: 2.659

3.  Rapid Pathogen Identification in Bacterial Pneumonia Using Real-Time Metagenomics.

Authors:  Kathryn M Pendleton; John R Erb-Downward; Yuwei Bao; William R Branton; Nicole R Falkowski; Duane W Newton; Gary B Huffnagle; Robert P Dickson
Journal:  Am J Respir Crit Care Med       Date:  2017-12-15       Impact factor: 21.405

4.  Portable nanopore analytics: are we there yet?

Authors:  Marco Oliva; Franco Milicchio; Kaden King; Grace Benson; Christina Boucher; Mattia Prosperi
Journal:  Bioinformatics       Date:  2020-08-15       Impact factor: 6.937

5.  Multiplex PCR method for MinION and Illumina sequencing of Zika and other virus genomes directly from clinical samples.

Authors:  Joshua Quick; Nathan D Grubaugh; Steven T Pullan; Ingra M Claro; Andrew D Smith; Karthik Gangavarapu; Glenn Oliveira; Refugio Robles-Sikisaka; Thomas F Rogers; Nathan A Beutler; Dennis R Burton; Lia Laura Lewis-Ximenez; Jaqueline Goes de Jesus; Marta Giovanetti; Sarah C Hill; Allison Black; Trevor Bedford; Miles W Carroll; Marcio Nunes; Luiz Carlos Alcantara; Ester C Sabino; Sally A Baylis; Nuno R Faria; Matthew Loose; Jared T Simpson; Oliver G Pybus; Kristian G Andersen; Nicholas J Loman
Journal:  Nat Protoc       Date:  2017-05-24       Impact factor: 13.491

6.  Improving risk assessment of the emergence of novel influenza A viruses by incorporating environmental surveillance.

Authors:  Kim M Pepin; Matthew W Hopken; Susan A Shriner; Erica Spackman; Zaid Abdo; Colin Parrish; Steven Riley; James O Lloyd-Smith; Antoinette J Piaggio
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2019-08-12       Impact factor: 6.237

Review 7.  Applications of genomics to slow the spread of multidrug-resistant Neisseria gonorrhoeae.

Authors:  Tatum D Mortimer; Yonatan H Grad
Journal:  Ann N Y Acad Sci       Date:  2018-06-06       Impact factor: 5.691

8.  A Human Bi-specific Antibody against Zika Virus with High Therapeutic Potential.

Authors:  Jiaqi Wang; Marco Bardelli; Diego A Espinosa; Mattia Pedotti; Thiam-Seng Ng; Siro Bianchi; Luca Simonelli; Elisa X Y Lim; Mathilde Foglierini; Fabrizia Zatta; Stefano Jaconi; Martina Beltramello; Elisabetta Cameroni; Guntur Fibriansah; Jian Shi; Taylor Barca; Isabel Pagani; Alicia Rubio; Vania Broccoli; Elisa Vicenzi; Victoria Graham; Steven Pullan; Stuart Dowall; Roger Hewson; Simon Jurt; Oliver Zerbe; Karin Stettler; Antonio Lanzavecchia; Federica Sallusto; Andrea Cavalli; Eva Harris; Shee-Mei Lok; Luca Varani; Davide Corti
Journal:  Cell       Date:  2017-09-21       Impact factor: 41.582

9.  Chiron: translating nanopore raw signal directly into nucleotide sequence using deep learning.

Authors:  Haotian Teng; Minh Duc Cao; Michael B Hall; Tania Duarte; Sheng Wang; Lachlan J M Coin
Journal:  Gigascience       Date:  2018-05-01       Impact factor: 6.524

10.  Epidemiological and ecological determinants of Zika virus transmission in an urban setting.

Authors:  José Lourenço; Maricelia Maia de Lima; Nuno Rodrigues Faria; Andrew Walker; Moritz Ug Kraemer; Christian Julian Villabona-Arenas; Ben Lambert; Erenilde Marques de Cerqueira; Oliver G Pybus; Luiz Cj Alcantara; Mario Recker
Journal:  Elife       Date:  2017-09-09       Impact factor: 8.140

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.