ArticleMolecular & cellular proteomics : MCP2018
Multiplexed Biomarker Panels Discriminate Zika and Dengue Virus Infection in Humans.
Article in Molecular & cellular proteomics : MCP, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
9 citing papers in PubMed, 21 citations in OpenAlex.
- Construction of an ASFV proteome library via multiple optimization strategies for high-throughput analysis.Acta biochimica et biophysica Sinica · 2025Article
- Recent Advances in Plasma-Engineered Polymers for Biomarker-Based Viral Detection and Highly Multiplexed Analysis.Biosensors · 2022Review
- An Integrated Systems Biology Approach Identifies the Proteasome as A Critical Host Machinery for ZIKV and DENV Replication.Genomics, proteomics & bioinformatics · 2021Article
- Utility of Proteomics in Emerging and Re-Emerging Infectious Diseases Caused by RNA Viruses.Journal of proteome research · 2020Review
- Review
- Developments and Applications of Functional Protein Microarrays.Molecular & cellular proteomics : MCP · 2020Review
- Pathophysiology and Mechanisms of Zika Virus Infection in the Nervous System.Annual review of neuroscience · 2019Review
- Automatic Spot Identification Method for High Throughput Surface Plasmon Resonance Imaging Analysis.Biosensors · 2018Article
- Article
Corrections and comments
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Authors and funding
15 authors at 7 institutions in 3 countries.
Funding
Abstract
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.
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.