Evidence map›Paper›PMID 30024899›Full record

ArticlePloS one2018

Impact of congenital cytomegalovirus infection on transcriptomes from archived dried blood spots in relation to long-term clinical outcome.

Roberta Rovito, Hans-Jörg Warnatz, Szymon M Kiełbasa, Hailiang Mei, Vyacheslav Amstislavskiy, Ramon Arens, Marie-Laure Yaspo, Hans Lehrach, Aloys C M Kroes, Jelle J Goeman and 1 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.6field-weighted citation impact, top 29% 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

5 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
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 2 countries.

Roberta RovitoDepartment of Medical Microbiology, Leiden University Medical Center, Leiden, The Netherlands.ORCID 0000-0002-8640-844X
Hans-Jörg WarnatzOtto Warburg Laboratory Gene Regulation and Systems Biology of Cancer, Max Planck Institute for Molecular Genetics, Berlin, Germany.
Szymon M KiełbasaDepartment of Biomedical Data Sciences, Leiden University Medical Center, Leiden, The Netherlands.ORCID 0000-0003-2805-6535
Hailiang MeiSequencing Analysis Support Core, Leiden University Medical Center, Leiden, The Netherlands.
Vyacheslav AmstislavskiyOtto Warburg Laboratory Gene Regulation and Systems Biology of Cancer, Max Planck Institute for Molecular Genetics, Berlin, Germany.ORCID 0000-0002-1384-7599
Ramon ArensDepartment of Immunohematology and Blood Transfusion, Leiden University Medical Center, Leiden, The Netherlands.
Marie-Laure YaspoOtto Warburg Laboratory Gene Regulation and Systems Biology of Cancer, Max Planck Institute for Molecular Genetics, Berlin, Germany.
Hans LehrachAlacris Theranostics GmbH, Berlin, Germany.
Aloys C M KroesDepartment of Medical Microbiology, Leiden University Medical Center, Leiden, The Netherlands.
Jelle J GoemanDepartment of Biomedical Data Sciences, Leiden University Medical Center, Leiden, The Netherlands.
Ann C T M VossenDepartment of Medical Microbiology, Leiden University Medical Center, Leiden, The Netherlands.
Leiden University Medical Center · NLMax Planck Institute for Molecular Genetics · DEAlacris (Germany) · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Congenital Cytomegalovirus infection (cCMV) is the leading infection in determining permanent long-term impairments (LTI), and its pathogenesis is largely unknown due to the complex interplay between viral, maternal, placental, and child factors. The cellular activity, considered to be the result of the response to exogenous and endogenous factors, is captured by the determination of gene expression profiles. In this study, we determined whole blood transcriptomes in relation to cCMV, CMV viral load and LTI development at 6 years of age by using RNA isolated from neonatal dried blood spots (DBS) stored at room temperature for 8 years. As DBS were assumed to mainly reflect the neonatal immune system, particular attention was given to the immune pathways using the global test. Additionally, differential expression of individual genes was performed using the voom/limma function packages. We demonstrated feasibility of RNA sequencing from archived neonatal DBS of children with cCMV, and non-infected controls, in relation to LTI and CMV viral load. Despite the lack of statistical power to detect individual genes differences, pathway analysis suggested the involvement of innate immune response with higher CMV viral loads, and of anti-inflammatory markers in infected children that did not develop LTI. Finally, the T cell exhaustion observed in infected neonates, in particular with higher viral load, did not correlate with LTI, therefore other mechanisms are likely to be involved in the long-term immune dysfunction. Despite these data demonstrate limitation in determining prognostic markers for LTI by means of transcriptome analysis, this exploratory study represents a first step in unraveling the pathogenesis of cCMV, and the aforementioned pathways certainly merit further evaluation.

Indexed as

TranscriptomeBlood PreservationChildChild, PreschoolCognitive DysfunctionCytomegalovirusCytomegalovirus InfectionsDried Blood Spot TestingFemaleHumansInfant, NewbornMaleMotor Neuron DiseaseTime FactorsViral Load

Identifiers

PMID30024899
PMCPMC6053152
OpenAlexW2883240565

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.