An antibody panel for highly specific detection and differentiation of Zika virus.


Journal

Scientific reports
ISSN: 2045-2322
Titre abrégé: Sci Rep
Pays: England
ID NLM: 101563288

Informations de publication

Date de publication:
17 07 2020
Historique:
received: 19 11 2019
accepted: 29 06 2020
entrez: 19 7 2020
pubmed: 19 7 2020
medline: 15 12 2020
Statut: epublish

Résumé

Zika virus (ZIKV) is an emerging flavivirus transmitted to humans by Aedes mosquitos. ZIKV can be transmitted from mother to fetus during pregnancy and can cause microcephaly and other birth defects. Effective vaccines for Zika are yet to be approved. Detection of the ZIKV is based on serological testing that often shows cross-reactivity with the Dengue virus (DENV) and other flaviviruses. We aimed to assemble a highly specific anti-Zika antibody panel to be utilized in the development of a highly specific and cost-effective ZIKV rapid quantification assay for viral load monitoring at point-of-care settings. To this end, we tested the affinity and specificity of twenty one commercially available monoclonal and polyclonal antibodies against ZIKV and DENV envelope proteins utilizing nine ZIKV and twelve DENV strains. We finalized and tested a panel of five antibodies for the specific detection and differentiation of ZIKV and DENV infected samples.

Identifiants

pubmed: 32681135
doi: 10.1038/s41598-020-68635-6
pii: 10.1038/s41598-020-68635-6
pmc: PMC7367842
doi:

Substances chimiques

Antibodies, Viral 0
Viral Envelope Proteins 0

Types de publication

Journal Article Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

11906

Subventions

Organisme : NIAID NIH HHS
ID : R15 AI127214
Pays : United States

Références

Dick, G., Kitchen, S. & Haddow, A. Zika virus (I). Isolations and serological specificity. Trans. R. Soc. Trop. Med. Hyg. 46, 509–520 (1952).
doi: 10.1016/0035-9203(52)90042-4
Wong, S.S.-Y., Poon, R.W.-S. & Wong, S.C.-Y. Zika virus infection—the next wave after dengue?. J. Formos. Med. Assoc. 115, 226–242 (2016).
doi: 10.1016/j.jfma.2016.02.002
Herrada, C., Kabir, M. A., Altamirano, R. & Asghar, W. Advances in Diagnostic methods for Zika Virus infection. J. Med. Devices 12, 4080211 (2018).
doi: 10.1115/1.4041086
Duffy, M. R. et al. Zika virus outbreak on Yap Island, federated states of Micronesia. N. Engl. J. Med. 360, 2536–2543 (2009).
doi: 10.1056/NEJMoa0805715
Cao-Lormeau, V.-M. et al. Zika virus, French polynesia, South pacific, 2013. Emerg. Infect. Dis. 20, 1085 (2014).
doi: 10.3201/eid2006.140138
Dupont-Rouzeyrol, M. et al. Co-infection with Zika and dengue viruses in 2 patients, New Caledonia, 2014. Emerg. Infect. Dis. 21, 381 (2015).
doi: 10.3201/eid2102.141553
Tognarelli, J. et al. A report on the outbreak of Zika virus on Easter Island, South Pacific, 2014. Adv. Virol. 161, 665–668 (2016).
Marini, G., Guzzetta, G., Rosà, R. & Merler, S. First outbreak of Zika virus in the continental United States: a modelling analysis. Eurosurveillance 22, 30612 (2017).
doi: 10.2807/1560-7917.ES.2017.22.37.30612
Control, C. f. D. 2016 Case Counts in the US, https://www.cdc.gov/zika/reporting/2016-case-counts.html (2016).
de Oliveira, W. K. et al. Infection-related microcephaly after the 2015 and 2016 Zika virus outbreaks in Brazil: a surveillance-based analysis. The Lancet 390, 861–870 (2017).
doi: 10.1016/S0140-6736(17)31368-5
Boyer, S., Calvez, E., Chouin-Carneiro, T., Diallo, D. & Failloux, A.-B. An overview of mosquito vectors of Zika virus. Microbes Infect. 20, 646–660 (2018).
doi: 10.1016/j.micinf.2018.01.006
Rather, I. A. et al. Prevention and control strategies to counter dengue virus infection. Frontiers in cellular and infection microbiology 7, 336 (2017).
doi: 10.3389/fcimb.2017.00336
Dai, L. et al. Structures of the Zika virus envelope protein and its complex with a flavivirus broadly protective antibody. Cell Host Microbe 19, 696–704 (2016).
doi: 10.1016/j.chom.2016.04.013
Uno, N. & Ross, T. M. Dengue virus and the host innate immune response. Emerg Microbes Infect. 7, 167 (2018).
doi: 10.1038/s41426-018-0168-0
Suwanmanee, S. & Luplertlop, N. Dengue and Zika viruses: lessons learned from the similarities between these Aedes mosquito-vectored arboviruses. J. Microbiol. 55, 81–89 (2017).
doi: 10.1007/s12275-017-6494-4
Faye, O. et al. Molecular evolution of Zika virus during its emergence in the 20th century. PLoS Negl. Trop. Dis. 8, e2636 (2014).
doi: 10.1371/journal.pntd.0002636
Keasey, S. L. et al. Antibody responses to Zika Virus infections in environments of flavivirus endemicity. Clin. Vaccine Immunol https://doi.org/10.1128/cvi.00036-17 (2017).
doi: 10.1128/cvi.00036-17 pubmed: 28228395 pmcid: 5382833
Tran, A. & Theel, E. S. The role of serologic testing for Zika virus infection. Rev. Med. Microbiol. 29, 1–7 (2018).
Priyamvada, L., Hudson, W., Ahmed, R. & Wrammert, J. Humoral cross-reactivity between Zika and dengue viruses: implications for protection and pathology. Emerg. Microbes Infect. 6, e33 (2017).
doi: 10.1038/emi.2017.42
Stettler, K. et al. Specificity, cross-reactivity and function of antibodies elicited by Zika virus infection. Science https://doi.org/10.1126/science.aaf8505 (2016).
doi: 10.1126/science.aaf8505 pubmed: 27417494
Escadafal, C. et al. Rapid molecular assays for the detection of yellow fever virus in low-resource settings. PLoS Negl Trop Dis 8, e2730 (2014).
doi: 10.1371/journal.pntd.0002730
Faria, N. R. et al. Genomic and epidemiological monitoring of yellow fever virus transmission potential. Science 361, 894–899 (2018).
doi: 10.1126/science.aat7115
Lee, C. T. et al. Zika virus surveillance and preparedness—New York City, 2015–2016. Morb. Mortal. Wkly Rep. 65, 629–635 (2016).
doi: 10.15585/mmwr.mm6524e3
Moulin, E., Selby, K., Cherpillod, P., Kaiser, L. & Boillat-Blanco, N. Simultaneous outbreaks of dengue, chikungunya and Zika virus infections: diagnosis challenge in a returning traveller with nonspecific febrile illness. New Microbes New Infections 11, 6–7 (2016).
doi: 10.1016/j.nmni.2016.02.003
Kikuti, M. et al. Diagnostic performance of commercial IgM and IgG enzyme-linked immunoassays (ELISAs) for diagnosis of Zika virus infection. Virol. J. 15, 108. https://doi.org/10.1186/s12985-018-1015-6 (2018).
doi: 10.1186/s12985-018-1015-6 pubmed: 30005683 pmcid: 6045861
Balmaseda, A. et al. Antibody-based assay discriminates Zika virus infection from other flaviviruses. Proc. Natl. Acad. Sci. USA 114, 8384–8389 (2017).
doi: 10.1073/pnas.1704984114
Rockstroh, A. et al. Specific detection of dengue and Zika virus antibodies using envelope proteins with mutations in the conserved fusion loop. Emerg Microbes Infect. 6, e99 (2017).
doi: 10.1038/emi.2017.87
Lindsey, N. P. et al. Ability to serologically confirm recent Zika virus infection in areas with varying past incidence of dengue virus infection—United States and territories, 2016. J. Clin. Microbiol. https://doi.org/10.1128/JCM.01115-17 (2017).
doi: 10.1128/JCM.01115-17 pubmed: 29093104 pmcid: 5744229
Santiago, G. A. et al. Performance of the Trioplex real-time RT-PCR assay for detection of Zika, dengue, and chikungunya viruses. Nat. Commun. 9, 1391 (2018).
doi: 10.1038/s41467-018-03772-1
L’Huillier, A. G. et al. Evaluation of Altona Diagnostics RealStar Zika Virus RT-PCR Test Kit for Zika virus PCR testing. J. Clin. Microbiol. 55, 1576–1584 (2017).
doi: 10.1128/JCM.02153-16
Balmaseda, A. et al. Comparison of four serological methods and two RT-PCR assays for diagnosis and surveillance of Zika. J. Clin. Microbiol. https://doi.org/10.1128/JCM.01785-17 (2018).
doi: 10.1128/JCM.01785-17 pubmed: 29305550 pmcid: 5824056
FDA. Zika Virus Response Updates from FDA (FDA, Silver Spring, 2018).
Theel, E. S. & Hata, D. J. Diagnostic testing for Zika Virus: A Post-Outbreak Update. J. Clin. Microbiol. https://doi.org/10.1128/JCM.01972-17 (2018).
doi: 10.1128/JCM.01972-17 pubmed: 30254111 pmcid: 6204682
Granger, D. et al. Serologic testing for Zika virus: comparison of three Zika virus IgM-screening enzyme-linked immunosorbent assays and initial laboratory experiences. J. Clin. Microbiol. 55, 2127–2136 (2017).
doi: 10.1128/JCM.00580-17
Sloan, A. et al. Evaluation of the Diasorin Liaison® XL Zika Capture IgM CMIA for Zika virus serological testing. Diagn. Microbiol. Infect. Dis. 90, 264–266 (2018).
doi: 10.1016/j.diagmicrobio.2017.11.018
Herrada, C. A., Kabir, M. A., Altamirano, R. & Asghar, W. Advances in Diagnostic Methods for Zika Virus Infection. J. Med. Devices 12, 040802 (2018).
doi: 10.1115/1.4041086
Oduyebo, T. et al. Update: interim guidance for health care providers caring for pregnant women with possible Zika Virus Exposure—United States (Including U.S. Territories). MMWR Morb Mortal Wkly Rep 66, 781–793. https://doi.org/10.15585/mmwr.mm6629e1 (2017).
doi: 10.15585/mmwr.mm6629e1 pubmed: 28749921 pmcid: 5657812
Sessions, O. M. et al. Discovery of insect and human dengue virus host factors. Nature 458, 1047 (2009).
doi: 10.1038/nature07967
Agbulos, D. S., Barelli, L., Giordano, B. V. & Hunter, F. F. Zika virus: quantification, propagation, detection, and storage. Curr. Protoc. Microbiol. 43, 15 (2016).
Musso, D. & Gubler, D. J. Zika virus. Clin. Microbiol. Rev. 29, 487–524 (2016).
doi: 10.1128/CMR.00072-15
Asghar, W. et al. Engineering long shelf life multi-layer biologically active surfaces on microfluidic devices for point of care applications. Sci. Rep. 6, 21163 (2016).
doi: 10.1038/srep21163
Shafiee, H. et al. Nanostructured optical photonic crystal biosensor for HIV viral load measurement. Sci. Rep. 4, 4116 (2014).
doi: 10.1038/srep04116
Coleman, B., Coarsey, C., Kabir, M. A. & Asghar, W. Point-of-care colorimetric analysis through smartphone video. Sens. Actuators B 282(221), 251 (2018).
Chin, C. D. et al. Microfluidics-based diagnostics of infectious diseases in the developing world. Nat. Med. 17, 1015–1019 (2011).
doi: 10.1038/nm.2408
Coleman, B., Coarsey, C. & Asghar, W. Cell phone based colorimetric analysis for point-of-care settings. Analyst 144, 1935–1947 (2019).
doi: 10.1039/C8AN02521E
Coarsey, C., Coleman, B., Kabir, M. A., Sher, M. & Asghar, W. Development of a flow-free magnetic actuation platform for an automated microfluidic ELISA. RSC Adv. 9, 8159–8168. https://doi.org/10.1039/C8RA07607C (2019).
doi: 10.1039/C8RA07607C pubmed: 31777654 pmcid: 6880949
Kabir, M. A., Zilouchian, H., Sher, M. & Asghar, W. Development of a Flow-Free Automated Colorimetric Detection Assay Integrated with Smartphone for Zika NS1. Diagnostics 10, 42 (2020).
doi: 10.3390/diagnostics10010042
Inci, F. et al. Nanoplasmonic quantitative detection of intact viruses from unprocessed whole blood. ACS Nano 7, 4733–4745 (2013).
doi: 10.1021/nn3036232

Auteurs

Md Alamgir Kabir (MA)

Department of Computer & Electrical Engineering and Computer Science, Florida Atlantic University, Boca Raton, FL, 33431, USA.
Asghar-Lab, Micro and Nanotechnology in Medicine, College of Engineering and Computer Science, Boca Raton, FL, 33431, USA.

Ruben Soto-Acosta (R)

Department of Biochemistry & Molecular Biology, University of Texas Medical Branch, Galveston, TX, USA.
Center for Drug Design, University of Minnesota, 312 Church Street, Minneapolis, MN, 55455, USA.

Sandhya Sharma (S)

Department of Computer & Electrical Engineering and Computer Science, Florida Atlantic University, Boca Raton, FL, 33431, USA.
Asghar-Lab, Micro and Nanotechnology in Medicine, College of Engineering and Computer Science, Boca Raton, FL, 33431, USA.

Shelton S Bradrick (SS)

Department of Biochemistry & Molecular Biology, University of Texas Medical Branch, Galveston, TX, USA.
MRIGlobal, Kansas City, MO, USA.

Mariano A Garcia-Blanco (MA)

Department of Biochemistry & Molecular Biology, University of Texas Medical Branch, Galveston, TX, USA.
Duke-NUS Medical School, Singapore, Singapore.

Massimo Caputi (M)

Department of Biomedical Science, Charles E. Schmidt College of Medicine, Florida Atlantic University, Boca Raton, FL, 33431, USA. mcaputi@health.fau.edu.

Waseem Asghar (W)

Department of Computer & Electrical Engineering and Computer Science, Florida Atlantic University, Boca Raton, FL, 33431, USA. wasghar@fau.edu.
Asghar-Lab, Micro and Nanotechnology in Medicine, College of Engineering and Computer Science, Boca Raton, FL, 33431, USA. wasghar@fau.edu.
Department of Biological Sciences (Courtesy Appointment), Florida Atlantic University, Boca Raton, FL, 33431, USA. wasghar@fau.edu.

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