Evidence map›Paper›PMID 32479514›Full record

ArticlePloS one2020

Whole blood transcriptional responses of very preterm infants during late-onset sepsis.

Sherrianne Ng, Tobias Strunk, Amy H Lee, Erin E Gill, Reza Falsafi, Tabitha Woodman, Julie Hibbert, Robert E W Hancock, Andrew Currie

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 2 pooled it
1.4field-weighted citation impact, top 19% 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

19 citing papers in PubMed, 2 syntheses or guidelines pooled it, 27 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Review
  12. The Role of the Interleukin-1 Family in Complications of Prematurity.International journal of molecular sciences · 2023
    Review
  13. Article
  14. Article
  15. Observational
  16. Look Who's Talking: Host and Pathogen Drivers ofInternational journal of molecular sciences · 2022
    Review
  17. Article
  18. Review
  19. Review
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

9 authors at 3 institutions in 3 countries.

Sherrianne NgMedical, Molecular and Forensic Sciences, Murdoch University, Perth, WA, Australia.
Tobias StrunkDepartment of Health, Neonatal Directorate, King Edward Memorial Hospital, Child and Adolescent Health Service, Perth, WA, Australia.
Amy H LeeDepartment of Microbiology and Immunology, University of British Columbia, Vancouver, British Columbia, Canada.
Erin E GillDepartment of Microbiology and Immunology, University of British Columbia, Vancouver, British Columbia, Canada.
Reza FalsafiDepartment of Microbiology and Immunology, University of British Columbia, Vancouver, British Columbia, Canada.
Tabitha WoodmanMedical, Molecular and Forensic Sciences, Murdoch University, Perth, WA, Australia.
Julie HibbertNeonatal Infection & Immunity Team, Wesfarmers Centre of Vaccine & Infectious Diseases, Telethon Kids Institute, Perth, WA, Australia.
Robert E W HancockDepartment of Microbiology and Immunology, University of British Columbia, Vancouver, British Columbia, Canada.
Andrew CurrieMedical, Molecular and Forensic Sciences, Murdoch University, Perth, WA, Australia.ORCID 0000-0002-5193-3404
The Kids Research Institute Australia · AUUniversity of British Columbia · CAMurdoch University · AU

Funding

CIHR FDN-154287
6 · The paper itself

Abstract

backgroundHost immune responses during late-onset sepsis (LOS) in very preterm infants are poorly characterised due to a complex and dynamic pathophysiology and challenges in working with small available blood volumes. We present here an unbiased transcriptomic analysis of whole peripheral blood from very preterm infants at the time of LOS.

methodsRNA-Seq was performed on peripheral blood samples (6-29 days postnatal age) taken at the time of suspected LOS from very preterm infants <30 weeks gestational age. Infants were classified based on blood culture positivity and elevated C-reactive protein concentrations as having confirmed LOS (n = 5), possible LOS (n = 4) or no LOS (n = 9). Bioinformatics and statistical analyses performed included pathway over-representation and protein-protein interaction network analyses. Plasma cytokine immunoassays were performed to validate differentially expressed cytokine pathways.

resultsThe blood leukocyte transcriptional responses of infants with confirmed LOS differed significantly from infants without LOS (1,317 differentially expressed genes). However, infants with possible LOS could not be distinguished from infants with no LOS or confirmed LOS. Transcriptional alterations associated with LOS included genes involved in pathogen recognition (mainly TLR pathways), cytokine signalling (both pro-inflammatory and inhibitory responses), immune and haematological regulation (including cell death pathways), and metabolism (altered cholesterol biosynthesis). At the transcriptional-level cytokine responses during LOS were characterised by over-representation of IFN-α/β, IFN-γ, IL-1 and IL-6 signalling pathways and up-regulation of genes for inflammatory responses. Infants with confirmed LOS had significantly higher levels of IL-1α and IL-6 in their plasma.

conclusionsBlood responses in very preterm infants with LOS are characterised by altered host immune responses that appear to reflect unbalanced immuno-metabolic homeostasis.

Indexed as

Infant, Extremely PrematureTranscriptomeCytokinesFemaleHumansInfant, NewbornMaleNeonatal SepsisSignal TransductionCytokines

Identifiers

PMID32479514
PMCPMC7263612
OpenAlexW3030015770

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.