Multiplexed Biomarker Panels Discriminate Zika and Dengue Virus Infection in Humans

Guang Song, Hee Sool Rho, Jianbo Pan, Pedro Ramos, Ki Jun Yoon, Freddy A. Medina, Emily M. Lee, Daniel Eichinger, Guo li Ming, Jorge L. Muñoz-Jordan, Hengli Tang, Ignacio Pino, Hongjun Song, Jiang Qian, Heng Zhu

Research output: Contribution to journalArticlepeer-review

8 Scopus citations


Zika virus (ZIKV) and dengue virus (DENV) are closely related flaviviruses that cause widespread, acute febrile illnesses, notably microcephaly for fetuses of infected pregnant women. Detecting the viral cause of these illnesses is paramount to determine risks to patients, counsel pregnant women, and help fight outbreaks. A combined diagnostic algorithm for ZIKV and DENV requires Reverse transcription polymerase chain reaction (RT-PCR) and IgM antibody detection. RT-PCR differentiates between DENV and ZIKV infections during the acute phases of infection, but differentiation based on IgM antibodies is currently nearly impossible in endemic areas. We have developed a ZIKV/DENV protein array and tested it with serum samples collected from ZIKV- and DENV-infected patients and healthy subjects in Puerto Rico. Our analyses reveal a biomarker panel that are capable of discriminating ZIKV and DENV infections with high accuracy, including Capsid protein from African ZIKV strain MR766, and other 5 pair of proteins (NS1, NS2A, NS3, NS4B and NS5) from ZIKV and DENV respectively. Both sensitivity and specificity of the test for ZIKV from DENV are around 90%. We propose that the ZIKV/DENV protein array will be used in future studies to discriminate patients infected with ZIKV from DENV.

Original languageEnglish (US)
Pages (from-to)349-356
Number of pages8
JournalMolecular and Cellular Proteomics
Issue number2
StatePublished - Feb 2018
Externally publishedYes

ASJC Scopus subject areas

  • Analytical Chemistry
  • Biochemistry
  • Molecular Biology


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