Evidence map›Paper›PMID 30742853›Full record

ArticleVirus research2019

Optimization of qRT-PCR assay for zika virus detection in human serum and urine.

Maria Del Pilar Martinez Viedma, Vinita Puri, Lauren M Oldfield, Reed S Shabman, Gene S Tan, Brett E Pickett

Open access · hybridAbstract readComparative StudyEvaluation Study
In one paragraph

Article in Virus research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
4.4field-weighted citation impact, top 6% 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

9 citing papers in PubMed, 30 citations in OpenAlex.

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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

6 authors at 1 institution in 1 country.

Maria Del Pilar Martinez ViedmaJ. Craig Venter Institute, 4120Capricorn Lane, La Jolla, CA, 92037, United States. Electronic address: pviedma@jcvi.org.
Vinita PuriJ. Craig Venter Institute, 9605 Medical Center Drive, Rockville, MD, 20850, United States. Electronic address: purivinita@yahoo.com.
Lauren M OldfieldJ. Craig Venter Institute, 9605 Medical Center Drive, Rockville, MD, 20850, United States. Electronic address: loldfiel@jcvi.org.
Reed S ShabmanJ. Craig Venter Institute, 9605 Medical Center Drive, Rockville, MD, 20850, United States. Electronic address: rshabman@atcc.org.
Gene S TanJ. Craig Venter Institute, 4120Capricorn Lane, La Jolla, CA, 92037, United States; Division of Infectious Diseases, Department of Medicine, University of California, San Diego, La Jolla, CA, 92037, United States. Electronic address: gtan@jcvi.org.
Brett E PickettJ. Craig Venter Institute, 9605 Medical Center Drive, Rockville, MD, 20850, United States. Electronic address: bpickett@jcvi.org.
J. Craig Venter Institute · US

Funding

The J. Craig Venter Institute Genome Center for Infectious DiseasesU19AI110819 · NIAID · J. CRAIG VENTER INSTITUTE, INC. · PI TAN, GENE · 2014 to 2018
$29.7M
NIAID NIH HHS U19 AI110819
6 · The paper itself

Abstract

Zika Virus (ZIKV) is a mosquito-borne flavivirus that the World Health Organization (WHO) declared a global concern due to the severity of infection. This study focuses on determining the level of detection of ZIKV RNA in human serum and urine. Known amounts of Zika virus were added to uninfected human serum and urine samples. Different reverse transcriptases were compared to select the optimal enzyme for this application. Zika RNA in these samples was then quantified with qRT-PCR to determine the lower limit of detection in these fluids and to construct a standard curve. Student's t-test of paired samples was used in order to identify statistical differences. The SuperScript III enzyme was able to produce more ZIKV cDNA when compared to PrimeScript. Zika virus RNA was found to be detectable at lower levels (2.5 PFU/mL) in urine than in serum (250 PFU/mL) when using SuperScript III. This study demonstrates how the selection of both the human clinical specimen, and the reverse transcriptase enzyme involved in the molecular detection of ZIKV by quantitative real-time polymerase chain reaction (qRT-PCR), play an important role in enabling improved detection of the virus.

Indexed as

HumansReal-Time Polymerase Chain ReactionReverse Transcriptase Polymerase Chain ReactionRNA-Directed DNA PolymeraseRNA, ViralSensitivity and SpecificitySerumUrineZika VirusZika Virus InfectionRNA-Directed DNA PolymeraseRNA, ViralClinical samplesLimit of detection (LOD)qRT-PCRReverse transcriptaseZika Virus (ZIKV)

Identifiers

PMID30742853
PMCPMC6561482
OpenAlexW2911437996

What OpenQuestion holds

Textmetadata
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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.