Evidence map›Paper›PMID 28586426›Full record

ArticleThe Journal of infectious diseases2017

A Sensitive Method for Detecting Zika Virus Antigen in Patients' Whole-Blood Specimens as an Alternative Diagnostic Approach.

Fok-Moon Lum, Cui Lin, Olga Y Susova, Teck-Hui Teo, Siew-Wai Fong, Tze-Minn Mak, Linda Kay Lee, Chia-Yin Chong, David C B Lye, Raymond T P Lin and 3 more

Open access · bronzeAbstract read
In one paragraph

Article in The Journal of infectious diseases, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
5.5field-weighted citation impact, top 4% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

16 citing papers in PubMed, 27 citations in OpenAlex.

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  6. An update on the aspects of Zika virus infection on male reproductive system.Journal of assisted reproduction and genetics · 2019
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors at 8 institutions in 5 countries.

Fok-Moon LumSingapore Immunology Network, Agency for Science, Technology and Research.
Cui LinNational Public Health Laboratory, Ministry of Health.
Olga Y SusovaBlokhin Russian Cancer Research Center, Ministry of Health of the Russian Federation, Moscow.
Teck-Hui TeoSingapore Immunology Network, Agency for Science, Technology and Research.
Siew-Wai FongSingapore Immunology Network, Agency for Science, Technology and Research.
Tze-Minn MakNational Public Health Laboratory, Ministry of Health.
Linda Kay LeeInstitute of Infectious Diseases and Epidemiology, Tan Tock Seng Hospital.
Chia-Yin ChongKK Women's and Children's Hospital.
David C B LyeInstitute of Infectious Diseases and Epidemiology, Tan Tock Seng Hospital.
Raymond T P LinNational Public Health Laboratory, Ministry of Health.
Andres MeritsInstitute of Technology, University of Tartu, Estonia.
Yee-Sin LeoSaw Swee Hock School of Public Health, National University of Singapore.
Lisa F P NgSingapore Immunology Network, Agency for Science, Technology and Research.
Agency for Science, Technology and Research · SGNational Public Health Laboratory · NPTan Tock Seng Hospital · SGKK Women's and Children's Hospital · SGNational University Health System · SGRussian Cancer Research Center NN Blokhin · RUSingapore Immunology Network · SGUniversity of Tartu · EE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Epidemics caused by the reemergence of Zika virus (ZIKV) warrant the need to develop new diagnostic measures to complement currently used detection methods. In this study, we explored the detection of ZIKV antigen in a defined leukocyte subset from patients' whole-blood specimens. Methods: Whole-blood samples were obtained at the acute and early convalescent phases from ZIKV-infected patients during the Singapore outbreak in August-September 2016. Presence of ZIKV antigen was determined by flow cytometry staining for intracellular ZIKV NS3, using a ZIKV-specific polyclonal antibody. The presence of ZIKV antigen was determined in CD45+CD14+ monocytes. Results: Data showed that ZIKV NS3 antigen could be detected in CD45+CD14+ monocytes. The levels of detection were further categorized into 3 groups: high (positivity among >40% of monocytes), moderate (positivity among 10%-40%), and low (positivity among <10%). While a majority of patients showed a decrease in the amount of ZIKV antigen detected at later time points, some patients displayed higher levels as the disease progressed. Conclusions: Our data highlights an alternative approach in using flow cytometry as a sensitive method for detecting ZIKV antigen in whole blood. Importantly, it further confirms the role of CD14+ monocytes as an important cellular target for ZIKV infection during the viremic phase.

Indexed as

AdolescentAdultAntigens, ViralCross ReactionsEpidemicsFemaleHumansImmunologic TestsMaleMiddle AgedMonocytesRNA, ViralSingaporeViral LoadYoung AdultZika VirusAntigens, ViralRNA, ViraldetectiondiagnosismonocytesZika virus

Identifiers

PMID28586426
PMCPMC5853302
OpenAlexW2624283321

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.