Evidence map›Paper›PMID 30339221›Full record

ArticleThe Journal of infectious diseases2019

Host Gene Expression in Nose and Blood for the Diagnosis of Viral Respiratory Infection.

Jinsheng Yu, Derick R Peterson, Andrea M Baran, Soumyaroop Bhattacharya, Todd N Wylie, Ann R Falsey, Thomas J Mariani, Gregory A Storch

Abstract readComparative Study
In one paragraph

Article in The Journal of infectious diseases, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed, 3 pooled it
3.4field-weighted citation impact, top 7% 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

34 citing papers in PubMed, 3 syntheses or guidelines pooled it, 65 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

8 authors at 3 institutions in 1 country.

Jinsheng YuDepartment of Genetics, Washington University School of Medicine, St. Louis, Missouri.
Derick R PetersonDepartment of Biostatistics and Computational Biology, University of Rochester School of Medicine, New York.
Andrea M BaranDepartment of Biostatistics and Computational Biology, University of Rochester School of Medicine, New York.
Soumyaroop BhattacharyaDivision of Neonatology and Pediatric Molecular and Personalized Medicine Program, Department of Pediatrics, University of Rochester School of Medicine, New York.
Todd N WylieDepartment of Pediatrics, Washington University School of Medicine, St. Louis, Missouri.
Ann R FalseyDepartment of Medicine, University of Rochester School of Medicine, New York.
Thomas J MarianiDivision of Neonatology and Pediatric Molecular and Personalized Medicine Program, Department of Pediatrics, University of Rochester School of Medicine, New York.
Gregory A StorchDepartment of Pediatrics, Washington University School of Medicine, St. Louis, Missouri.
University of Rochester · USWashington University in St. Louis · USJames S. McDonnell Foundation · US

Funding

Washington University Center for Cellular ImagingP30CA091842 · NCI · WASHINGTON UNIVERSITY · PI AIMEE S JAMES · 2001 to 2026
$128.0M
WU INSTITUTE OF CLINICAL AND TRANSLATIONAL SCIENCESUL1TR002345 · NCATS · WASHINGTON UNIVERSITY · PI William G. Powderly · 2017 to 2026
$97.8M
VISUAL INDICES OF NEUROTOXICITYP30ES001247 · NIEHS · UNIVERSITY OF ROCHESTER · PI Sally W Thurston · 1985 to 2026
$42.8M
NCATS NIH HHS UL1 TR002345NCI NIH HHS P30 CA091842NIAID NIH HHS HHSN272201200005CNIEHS NIH HHS P30 ES001247
6 · The paper itself

Abstract

backgroundRecently there has been a growing interest in the potential for host transcriptomic analysis to augment the diagnosis of infectious diseases.

methodsWe compared nasal and blood samples for evaluation of the host transcriptomic response in children with acute respiratory syncytial virus (RSV) infection, symptomatic non-RSV respiratory virus infection, asymptomatic rhinovirus infection, and virus-negative asymptomatic controls. We used nested leave-one-pair-out cross-validation and supervised principal components analysis to define small sets of genes whose expression patterns accurately classified subjects. We validated gene classification scores using an external data set.

resultsDespite lower quality of nasal RNA, the number of genes detected by microarray in each sample type was equivalent. Nasal gene expression signal derived mainly from epithelial cells but also included a variable leukocyte contribution. The number of genes with increased expression in virus-infected children was comparable in nasal and blood samples, while nasal samples also had decreased expression of many genes associated with ciliary function and assembly. Nasal gene expression signatures were as good or better for discriminating between symptomatic, asymptomatic, and uninfected children. CONCLSUSIONS: Our results support the use of nasal samples to augment pathogen-based tests to diagnose viral respiratory infection.

Indexed as

TranscriptomeAdolescentAsymptomatic InfectionsCase-Control StudiesChildChild, PreschoolFemaleGene Expression ProfilingHumansInfantMaleNasal MucosaPicornaviridae InfectionsRespiratory Syncytial Virus, HumanRespiratory Syncytial Virus InfectionsRespiratory Tract Infectionsdiagnosishuman gene expressionmicroarrayrespiratory virusesviral infection

Identifiers

PMID30339221
PMCPMC6420164
OpenAlexW2897215926

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.