Evidence map›Paper›PMID 34680414›Full record

ArticleBiomedicines2021

Reverse Engineering of the Pediatric Sepsis Regulatory Network and Identification of Master Regulators.

Raffael Azevedo de Carvalho Oliveira, Danilo Oliveira Imparato, Vítor Gabriel Saldanha Fernandes, João Vitor Ferreira Cavalcante, Ricardo D'Oliveira Albanus, Rodrigo Juliani Siqueira Dalmolin

Open access · goldAbstract read
In one paragraph

Article in Biomedicines, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.5field-weighted citation impact, top 35% 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

6 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. 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

6 authors at 2 institutions in 2 countries.

Raffael Azevedo de Carvalho OliveiraBioinformatics Multidisciplinary Environment-BioME, Instituto Metrópole Digital, Universidade Federal do Rio Grande do Norte, Natal 59078-400, Brazil.ORCID 0000-0001-9353-4113
Danilo Oliveira ImparatoBioinformatics Multidisciplinary Environment-BioME, Instituto Metrópole Digital, Universidade Federal do Rio Grande do Norte, Natal 59078-400, Brazil.ORCID 0000-0001-6979-4951
Vítor Gabriel Saldanha FernandesBioinformatics Multidisciplinary Environment-BioME, Instituto Metrópole Digital, Universidade Federal do Rio Grande do Norte, Natal 59078-400, Brazil.
João Vitor Ferreira CavalcanteBioinformatics Multidisciplinary Environment-BioME, Instituto Metrópole Digital, Universidade Federal do Rio Grande do Norte, Natal 59078-400, Brazil.
Ricardo D'Oliveira AlbanusDepartment of Computational Medicine & Bioinformatics, University of Michigan, Ann Arbor, MI 48109, USA.ORCID 0000-0003-3651-0136
Rodrigo Juliani Siqueira DalmolinBioinformatics Multidisciplinary Environment-BioME, Instituto Metrópole Digital, Universidade Federal do Rio Grande do Norte, Natal 59078-400, Brazil.ORCID 0000-0002-1688-6155
Universidade Federal do Rio Grande do Norte · BRUniversity of Michigan · US

Funding

Conselho Nacional de Desenvolvimento Científico e Tecnológico 308258/2018-5Coordenação de Aperfeiçoamento de Pessoal de Nível Superior xxx
6 · The paper itself

Abstract

Sepsis remains a leading cause of death in ICUs all over the world, with pediatric sepsis accounting for a high percentage of mortality in pediatric ICUs. Its complexity makes it difficult to establish a consensus on genetic biomarkers and therapeutic targets. A promising strategy is to investigate the regulatory mechanisms involved in sepsis progression, but there are few studies regarding gene regulation in sepsis. This work aimed to reconstruct the sepsis regulatory network and identify transcription factors (TFs) driving transcriptional states, which we refer to here as master regulators. We used public gene expression datasets to infer the co-expression network associated with sepsis in a retrospective study. We identified a set of 15 TFs as potential master regulators of pediatric sepsis, which were divided into two main clusters. The first cluster corresponded to TFs with decreased activity in pediatric sepsis, and

Indexed as

master regulatorspediatric sepsisregulatory networksseptic shocksystems biology

Identifiers

PMID34680414
PMCPMC8533457
OpenAlexW3199533528

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.