Evidence map›Paper›PMID 30304723›Full record

ArticleNeonatology2019

Whole Blood Gene Expression Reveals Specific Transcriptome Changes in Neonatal Encephalopathy.

Paolo Montaldo, Myrsini Kaforou, Gabriele Pollara, David Hervás-Marín, Ines Calabria, Joaquin Panadero, Laia Pedrola, Peter J Lally, Vânia Oliveira, Anup Kage and 8 more

Open access · hybridAbstract read
In one paragraph

Article in Neonatology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
3.6field-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

14 citing papers in PubMed, 22 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

18 authors at 8 institutions in 4 countries.

Paolo MontaldoCentre for Perinatal Neuroscience, Imperial College London, London, United Kingdomp.montaldo@imperial.ac.uk.
Myrsini KaforouPaediatric Infectious Diseases, Imperial College London, London, United Kingdom.
Gabriele PollaraInfection and Immunity, University College London, London, United Kingdom.
David Hervás-MarínHealth Research Institute La Fe, Valencia, Spain.
Ines CalabriaHealth Research Institute La Fe, Valencia, Spain.
Joaquin PanaderoHealth Research Institute La Fe, Valencia, Spain.
Laia PedrolaHealth Research Institute La Fe, Valencia, Spain.
Peter J LallyCentre for Perinatal Neuroscience, Imperial College London, London, United Kingdom.
Vânia OliveiraCentre for Perinatal Neuroscience, Imperial College London, London, United Kingdom.
Anup KageImperial College Healthcare NHS Trust, London, United Kingdom.
Gaurav AtrejaImperial College Healthcare NHS Trust, London, United Kingdom.
Josephine MendozaCentre for Perinatal Neuroscience, Imperial College London, London, United Kingdom.
Aung SoeMedway NHS Foundation Trust, Gillingham, United Kingdom.
Santosh PattnayakMedway NHS Foundation Trust, Gillingham, United Kingdom.
Seetha ShankaranNeonatal-Perinatal Division, Wayne State University, Detroit, Michigan, USA.
Máximo VentoHealth Research Institute La Fe, Valencia, Spain.
Jethro HerbergPaediatric Infectious Diseases, Imperial College London, London, United Kingdom.
Sudhin ThayyilCentre for Perinatal Neuroscience, Imperial College London, London, United Kingdom.
Leitat Technological Center · ESImperial College London · GBImperial College Healthcare NHS Trust · GBMedway NHS Foundation Trust · GBNIHR Imperial Biomedical Research Centre · GBUniversity College London · GBUniversity of Campania "Luigi Vanvitelli" · ITWayne State University · US

Funding

Department of Health HCS DRF-2014-05-013Department of Health ICA-CDRF-2016-02-071Department of Health NIHR300118Department of Health NIHR/CS/010/022Medical Research Council MR/R001375/1Wellcome Trust 206508/Z/17/Z
6 · The paper itself

Abstract

backgroundVariable responses to hypothermic neuroprotection are related to the clinical heterogeneity of encephalopathic babies; hence better disease stratification may facilitate the development of individualized neuroprotective therapies.

objectivesWe examined if whole blood gene expression analysis can identify specific transcriptome profiles in neonatal encephalopathy. MATERIAL AND

methodsWe performed next-generation sequencing on whole blood RNA from 12 babies with neonatal encephalopathy and 6 time-matched healthy term babies. Genes significantly differentially expressed between encephalopathic and control babies were identified. This set of genes was then compared to the host RNA response in septic neonates and subjected to pathway analysis.

resultsWe identified 950 statistically significant genes discriminating perfectly between healthy controls and neonatal encephalopathy. The major pathways in neonatal encephalopathy were axonal guidance signaling (p = 0.0009), granulocyte adhesion and diapedesis (p = 0.003), IL-12 signaling and production in macrophages (p = 0.003), and hypoxia-inducible factor 1α signaling (p = 0.004). There were only 137 genes in common between neonatal encephalopathy and bacterial sepsis sets.

conclusionBabies with neonatal encephalopathy have striking differences in gene expression profiles compared with healthy control and septic babies. Gene expression profiles may be useful for disease stratification and for developing personalized neuroprotective therapies.

Indexed as

TranscriptomeBacterial InfectionsCase-Control StudiesHigh-Throughput Nucleotide SequencingHumansHypoxia-Ischemia, BrainInfant, NewbornInfant, Newborn, DiseasesSepsisSignal TransductionBiomarkersBrain injuryGene expressionNeonatal encephalopathy

Identifiers

PMID30304723
PMCPMC6425817
OpenAlexW2895925526

What OpenQuestion holds

Textmetadata
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.