Evidence map›Paper›PMID 24048524›Full record

ArticleScience translational medicine2013

A host-based RT-PCR gene expression signature to identify acute respiratory viral infection.

Aimee K Zaas, Thomas Burke, Minhua Chen, Micah McClain, Bradly Nicholson, Timothy Veldman, Ephraim L Tsalik, Vance Fowler, Emanuel P Rivers, Ronny Otero and 7 more

Abstract read
In one paragraph

Article in Science translational medicine, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 83 papers.

0numbers the graph read from it
0cells of the map it votes in
83citing papers in PubMed
11.4field-weighted citation impact, top 1% 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

83 citing papers in PubMed, 144 citations in OpenAlex.

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  14. Priorities and Progress in Diagnostic Research by the Antibacterial Resistance Leadership Group.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2023
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23 more citing papers are in PubMed but not listed here.

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

17 authors at 5 institutions in 1 country.

Aimee K ZaasInstitute for Genome Sciences and Policy, Duke University School of Medicine, Durham, NC 27710, USA.
Thomas Burke
Minhua Chen
Micah McClain
Bradly Nicholson
Timothy Veldman
Ephraim L Tsalik
Vance Fowler
Emanuel P Rivers
Ronny Otero
Stephen F Kingsmore
Deepak Voora
Joseph Lucas
Alfred O Hero
Lawrence Carin
Christopher W Woods
Geoffrey S Ginsburg
Duke University · USChildren's Mercy Hospital · USDurham VA Medical Center · USUniversity of Chicago · USUniversity of Michigan–Ann Arbor · US

Funding

ConProject-001U19HD077693 · NICHD · RADY PEDIATRIC GENOMICS & SYSTEMS MEDICINE INSTITUTE · PI KINGSMORE, STEPHEN FRANCIS · 2013 to 2018
$6.2M
Plasma Protein Biomarker-Based Diagnostics Of Outcome In Sepsis and CAPU01AI066569 · NIAID · NATIONAL CENTER FOR GENOME RESOURCES · PI KINGSMORE, STEPHEN FRANCIS · 2005 to 2010
$2.9M
Detecting hospital-acquired infections using host gene-expression profilesIK2CX000530 · VA · DURHAM VA MEDICAL CENTER · PI TSALIK, EPHRAIM LEE · 2012 to 2014
–
CSRD VA IK2 CX000530NIAID NIH HHS AI066569NIAID NIH HHS U01 AI066569NICHD NIH HHS U19 HD077693
6 · The paper itself

Abstract

Improved ways to diagnose acute respiratory viral infections could decrease inappropriate antibacterial use and serve as a vital triage mechanism in the event of a potential viral pandemic. Measurement of the host response to infection is an alternative to pathogen-based diagnostic testing and may improve diagnostic accuracy. We have developed a host-based assay with a reverse transcription polymerase chain reaction (RT-PCR) TaqMan low-density array (TLDA) platform for classifying respiratory viral infection. We developed the assay using two cohorts experimentally infected with influenza A H3N2/Wisconsin or influenza A H1N1/Brisbane, and validated the assay in a sample of adults presenting to the emergency department with fever (n = 102) and in healthy volunteers (n = 41). Peripheral blood RNA samples were obtained from individuals who underwent experimental viral challenge or who presented to the emergency department and had microbiologically proven viral respiratory infection or systemic bacterial infection. The selected gene set on the RT-PCR TLDA assay classified participants with experimentally induced influenza H3N2 and H1N1 infection with 100 and 87% accuracy, respectively. We validated this host gene expression signature in a cohort of 102 individuals arriving at the emergency department. The sensitivity of the RT-PCR test was 89% [95% confidence interval (CI), 72 to 98%], and the specificity was 94% (95% CI, 86 to 99%). These results show that RT-PCR-based detection of a host gene expression signature can classify individuals with respiratory viral infection and sets the stage for prospective evaluation of this diagnostic approach in a clinical setting.

Indexed as

AdultFemaleHumansInfluenza A Virus, H1N1 SubtypeInfluenza A Virus, H3N2 SubtypeInfluenza, HumanMaleRespiratory Tract InfectionsReverse Transcriptase Polymerase Chain ReactionYoung Adult

Identifiers

PMID24048524
PMCPMC4286889
OpenAlexW2108857546

What OpenQuestion holds

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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.