ArticleMetabolic brain disease2021
MEG3 lncRNA is over-expressed in autism spectrum disorder.
Article in Metabolic brain disease, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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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
9 citing papers in PubMed, 18 citations in OpenAlex.
- Hidden causal inference delineates dynamic lncRNA regulation in autism spectrum disorder.Briefings in bioinformatics · 2026Article
- Inference of marker genes of subtle cell state changes via iLR: iterative logistic regression.Bioinformatics (Oxford, England) · 2026Article
- Non-Coding RNAs in Neurodevelopmental Disorders-From Diagnostic Biomarkers to Therapeutic Targets: A Systematic Review.Biomedicines · 2025Review
- Human Blood-Derived lncRNAs in Autism Spectrum Disorder.Biomolecules · 2025Review
- Altered expression of Csnk1a1p in Autism Spectrum Disorder in Iranian population: case-control study.Scientific reports · 2024Article
- Investigation of LncRNA PVT1 and MiR-21-5p Expression as Promising Novel Biomarkers for Autism Spectrum Disorder.Journal of molecular neuroscience : MN · 2023Article
- Emerging concepts involving inhibitory and activating RNA functionalization towards the understanding of microcephaly phenotypes and brain diseases in humans.Frontiers in cell and developmental biology · 2023Review
- Emerging Role of Non-coding RNAs in Autism Spectrum Disorder.Journal of molecular neuroscience : MN · 2022Review
- Re-emerging concepts of immune dysregulation in autism spectrum disorders.Frontiers in psychiatry · 2022Review
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Authors and funding
6 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Long non-coding RNAs (lncRNAs) comprise a group of regulatory transcripts which partake in the biological processes leading to development of neuropsychiatric disorders such as autism spectrum disorder (ASD). We measured circulatory levels of MEG3, GAS5, CYTOR, UCA1 lncRNAs and CRYBG3 gene in children with ASD and controls. Expression of MEG3 was remarkably higher in children with ASD when compared with controls (Posterior Beta = 2.919, SE = 0.51, P value < 0.0001). This difference was significant among male subgroups (Posterior Beta = 2.913, SE = 0.56, P value < 0.0001) as well as female subgroups (95% CrI for Beta = [0.29, 2.4], SE = 0.53, P value < 0.0001). Expression levels of other lncRNAs or CRYBG3 were not different between children with ASD and controls. Among children with ASD, the most robust correlations were found between GAS5/CYTOR, CYTOR/UCA1 and GAS5/UCA1 with correlation coefficients of 0.83, 0.83 and 0.73, respectively. Among controls, GAS5/UCA1, MEG3/UCA1 and GAS5/MEG3 pairs had the highest correlation coefficients (0.89, 0.84 and 0.80, respectively). ROC curve analysis revealed that MEG3 can distinguish children with ASD from controls with diagnostic power of 0.792 (P value < 0.0001). This value was higher among male subgroups (AUC = 0.84, P value < 0.0001) compared with female subgroups (AUC = 0.727, P value = 0.0727). The current research highlights the role of MEG3 in ASD and provides clues for depiction of an lncRNA network with possible contribution in the pathogenesis of ASD.
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Registered trials
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 Socratic graph.