ArticleThe Journal of international medical research2021
A novel circRNA-miRNA-mRNA network reveals hsa-circ-0040039 as a biomarker for intervertebral disc degeneration.
Article in The Journal of international medical research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
What it found
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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.
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Who cites it
3 citing papers in PubMed, 4 citations in OpenAlex.
- From Limited Samples to Mechanistic Insights: Exploratory Identification and Functional Validation of a hsa_circ_0062400/hsa_circ_0002397-miR-338-3p-NRP1 Axis in Myasthenia GravisEndocrine, metabolic & immune disorders drug targets · 2026Article
- circ_UTRN inhibits ferroptosis of ARJ21 cells to attenuate acute pancreatitis progression by regulating the miR-760-3p/FOXO1/GPX4 axis.3 Biotech · 2024Article
- Blood routine examination: a simple way for differential diagnosis of immunoglobulin A vasculitis with abdominal involvement and appendicitis in children.Updates in surgery · 2022Article
Corrections and comments
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Authors and funding
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveAlterations in the structure and function of intervertebral discs by multifaceted chronic processes can result in intervertebral disc degeneration (IDD). The mechanisms involved in IDD are still unknown.
methodsWe investigated the possible mechanisms underlying IDD using a bioinformatics analysis of publicly available microarray expression datasets and built a circular RNA-microRNA-mRNA (circRNA-miRNA-mRNA) network based on the results. Datasets GSE67566 and GSE116726 were downloaded from the Gene Expression Omnibus (GEO) and analyzed using the limma package in R. The CircInteractome database was used to detect miRNAs related to circRNA, and TargetScan, miRDB, and miRTarBase were used to predict target mRNAs. Key target genes were annotated using Gene Ontology terms.
resultsThe circRNA hsa-circ-0040039 was found to have the top log fold-change score. Analysis using Metascape showed that the associated genes were enriched mainly in the cell cycle. The Cytoscape plugin MCODE predicted that two members of the RAS oncogene family-RAB1A and RAB1B-and multiple coagulation factor deficiency (MCFD2) may play key roles in IDD.
conclusionOur results suggested that hsa-circ-0040039 and the related network may be potential biomarkers for IDD.
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