Evidence map›Paper›PMID 40625718›Full record

ReviewPediatric discovery2023

Pathogenic roles of microRNAs and competing endogenous RNAs in Hirschsprung disease (HSCR): Potential diagnostic markers for HSCR.

Lian Hou, Quan Kang

Abstract readReview
In one paragraph

Review in Pediatric discovery, 2023. 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. 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

2 authors.

Lian HouDepartment of General and Trauma Surgery Children's Hospital of Chongqing Medical University National Clinical Research Center for Child Health and Disorders Ministry of Education Key Laboratory of Child Development and Disorders Chongqing China.ORCID https://orcid.org/0009-0003-2433-2624
Quan KangDepartment of General and Trauma Surgery Children's Hospital of Chongqing Medical University National Clinical Research Center for Child Health and Disorders Ministry of Education Key Laboratory of Child Development and Disorders Chongqing China.ORCID https://orcid.org/0000-0001-8598-1984

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

MicroRNAs (miRNAs) are endogenous small non-coding single-stranded RNAs. They can bind to the 3'-untranslated region (3'UTR) of mRNAs and regulate the expression of their target genes by inducing degradation or translation inhibition of the corresponding mRNAs. Competing endogenous RNAs (ceRNAs) can disable miRNAs by combining miRNAs response elements (MREs) with miRNAs. Hirschsprung disease (HSCR) is a common pediatric surgical disease in which cells derived from the enteric neural crest fail to colonize the distal colon, but its pathogenesis is not very clear. In recent years, with more and more studies on miRNAs in HSCR, miRNAs seem to be involved in the pathogenesis of HSCR. miRNAs in HSCR affect the proliferation and migration of enteric neural crest cells mainly through target genes, and ceRNAs inhibit miRNAs, thus participating in the pathogenesis of HSCR. It was reported that some miRNAs in the serum of children with HSCR were significantly higher than those in the control group. Therefore, miRNAs are expected to be a new noninvasive early screening biomarker and targeted therapy point for HSCR. Here, we provide a summary of the understanding of miRNAs and ceRNAs in regulating enteric nervous system proliferation and migration and their roles in the pathogenesis of HSCR.

Indexed as

ceRNAsenteric nervous systementeric neural crest cellsHirschsprung diseasemicroRNAs

Identifiers

PMID40625718
PMCPMC12118252

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.