Evidence map›Paper›PMID 28962005›Full record

ArticleThe Journal of infectious diseases2017

Association of Dynamic Changes in the CD4 T-Cell Transcriptome With Disease Severity During Primary Respiratory Syncytial Virus Infection in Young Infants.

Thomas J Mariani, Xing Qiu, ChinYi Chu, Lu Wang, Juilee Thakar, Jeanne Holden-Wiltse, Anthony Corbett, David J Topham, Ann R Falsey, Mary T Caserta and 1 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
2.2field-weighted citation impact, top 12% 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, 25 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

11 authors at 3 institutions in 1 country.

Thomas J MarianiDivision of Neonatology and Pediatric Molecular and Personalized Medicine Program.
Xing QiuDepartment of Biostatistics and Computational Biology.
ChinYi ChuDivision of Neonatology and Pediatric Molecular and Personalized Medicine Program.
Lu WangDepartment of Biostatistics and Computational Biology.
Juilee ThakarDepartment of Microbiology and Immunology.
Jeanne Holden-WiltseDepartment of Biostatistics and Computational Biology.
Anthony CorbettDepartment of Biostatistics and Computational Biology.
David J TophamDepartment of Microbiology and Immunology.
Ann R FalseyDepartment of Medicine, University of Rochester Medical Center.
Mary T CasertaDivision of Pediatric Infectious Diseases.
Edward E WalshDepartment of Medicine, University of Rochester Medical Center.
University of Rochester Medical Center · USPediatric Infectious Diseases Society · USRochester General Hospital · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Nearly all children are infected with respiratory syncytial virus (RSV) within the first 2 years of life, with a minority developing severe disease (1%-3% hospitalized). We hypothesized that an assessment of the adaptive immune system, using CD4+ T-lymphocyte transcriptomics, would identify gene expression correlates of disease severity. Methods: Infants infected with RSV representing extremes of clinical severity were studied. Mild illness (n = 23) was defined as a respiratory rate (RR) < 55 and room air oxygen saturation (SaO2) ≥ 97%, and severe illness (n = 23) was defined as RR ≥ 65 and SaO2 ≤ 92%. RNA from fresh, sort-purified CD4+ T cells was assessed by RNA sequencing. Results: Gestational age, age at illness onset, exposure to environmental tobacco smoke, bacterial colonization, and breastfeeding were associated (adjusted P < .05) with disease severity. RNA sequencing analysis reliably measured approximately 60% of the genome. Severity of RSV illness had the greatest effect size upon CD4 T-cell gene expression. Pathway analysis identified correlates of severity, including JAK/STAT, prolactin, and interleukin 9 signaling. We also identified genes and pathways associated with timing of symptoms and RSV group (A/B). Conclusions: These data suggest fundamental changes in adaptive immune cell phenotypes may be associated with RSV clinical severity.

Indexed as

TranscriptomeCD4-Positive T-LymphocytesCohort StudiesFemaleHumansInfantInfant, NewbornMaleRespiratory Syncytial Virus, HumanRespiratory Syncytial Virus InfectionsSeverity of Illness IndexTobacco Smoke PollutionTobacco Smoke Pollutiondisease severitygene espressionrespiratory syncytial virusRNA sequencingT cell

Identifiers

PMID28962005
PMCPMC5853440
OpenAlexW2745986215

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.