Evidence map›Paper›PMID 39062715›Full record

ArticleGenes2024

Validation of Gene Expression Patterns for Oral Feeding Readiness: Transcriptional Analysis of Set of Genes in Neonatal Salivary Samples.

Leonardo Henrique Ferreira Gomes, Andressa Brito Marques, Isabel Cristina de Meireles Dias, Sanny Cerqueira de O Gabeira, Tamara Rosa Barcelos, Mariana de Oliveira Guimarães, Igor Ribeiro Ferreira, Letícia Cunha Guida, Sabrina Lopes Lucena, Adriana Duarte Rocha

Abstract readValidation Study
In one paragraph

Article in Genes, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

2 citing papers in PubMed.

  1. Article
  2. 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

10 authors.

Leonardo Henrique Ferreira GomesInstituto Nacional da Saúde da Mulher, da Criança e do Adolescente Fernandes Figueira-Fundação Oswaldo Cruz, Rio de Janeiro 22250-020, Brazil.ORCID 0000-0002-1721-0608
Andressa Brito MarquesInstituto Nacional da Saúde da Mulher, da Criança e do Adolescente Fernandes Figueira-Fundação Oswaldo Cruz, Rio de Janeiro 22250-020, Brazil.
Isabel Cristina de Meireles DiasInstituto Nacional da Saúde da Mulher, da Criança e do Adolescente Fernandes Figueira-Fundação Oswaldo Cruz, Rio de Janeiro 22250-020, Brazil.
Sanny Cerqueira de O GabeiraInstituto Nacional da Saúde da Mulher, da Criança e do Adolescente Fernandes Figueira-Fundação Oswaldo Cruz, Rio de Janeiro 22250-020, Brazil.
Tamara Rosa BarcelosInstituto Nacional da Saúde da Mulher, da Criança e do Adolescente Fernandes Figueira-Fundação Oswaldo Cruz, Rio de Janeiro 22250-020, Brazil.
Mariana de Oliveira GuimarãesInstituto Nacional da Saúde da Mulher, da Criança e do Adolescente Fernandes Figueira-Fundação Oswaldo Cruz, Rio de Janeiro 22250-020, Brazil.
Igor Ribeiro FerreiraRural and Remote Support Services, Department of Health, Integrated Cardiovascular Clinical Network SA, Adelaide, SA 5042, Australia.
Letícia Cunha GuidaInstituto Nacional da Saúde da Mulher, da Criança e do Adolescente Fernandes Figueira-Fundação Oswaldo Cruz, Rio de Janeiro 22250-020, Brazil.ORCID 0000-0003-3543-1532
Sabrina Lopes LucenaInstituto Nacional da Saúde da Mulher, da Criança e do Adolescente Fernandes Figueira-Fundação Oswaldo Cruz, Rio de Janeiro 22250-020, Brazil.
Adriana Duarte RochaInstituto Nacional da Saúde da Mulher, da Criança e do Adolescente Fernandes Figueira-Fundação Oswaldo Cruz, Rio de Janeiro 22250-020, Brazil.ORCID 0000-0002-0678-581X

Funding

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior 001Programa de Incentivo à Pesquisa do Intituto Fernades Figueira PIP IV
6 · The paper itself

Abstract

backgroundNeonatal health assessment is crucial for detecting and intervening in various disorders. Traditional gene expression analysis methods often require invasive procedures during sample collection, which may not be feasible or ideal for preterm infants. In recent years, saliva has emerged as a promising noninvasive biofluid for assessing gene expression. Another trend that has been growing is the use of " METHODOLOGY: Salivary samples (n = 225) were prospectively collected from 45 preterm (<34 gestational age) infants from five predefined feeding stages and submitted to RT-qPCR. A better description of the targeted genes and results from RT-qPCR analyses were included. The six genes previously identified as predictive of feeding success were tested. The genes are

conclusionsIn summary, the genes

Indexed as

Infant, PrematureSalivaFemaleGene Expression ProfilingHumansInfant, NewbornMaleTranscriptomegene expressionneonataloral feedingsalivary samples

Identifiers

PMID39062715
PMCPMC11275400

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.