Evidence map›Paper›PMID 34115273›Full record

ArticleMetabolic brain disease2021

MEG3 lncRNA is over-expressed in autism spectrum disorder.

Mohammad Taheri, Kasra Honarmand Tamizkar, Shaghayegh Omrani, Shahram Arsang-Jang, Soudeh Ghafouri-Fard, Mir Davood Omrani

Abstract read
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In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.0field-weighted citation impact, top 27% 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

9 citing papers in PubMed, 18 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Review
  5. Article
  6. Article
  7. Review
  8. Emerging Role of Non-coding RNAs in Autism Spectrum Disorder.Journal of molecular neuroscience : MN · 2022
    Review
  9. 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 3 institutions in 1 country.

Mohammad TaheriSkull Base Research Center, Loghman Hakim Hospital, Shahid Beheshti University of Medical Sciences, Tehran, Iran.ORCID http://orcid.org/0000-0001-8381-0591
Kasra Honarmand TamizkarDepartment of Medical Genetics, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Shaghayegh OmraniNeurophysiology Research Center, Hamadan University of Medical Sciences, Hamadan, Iran.
Shahram Arsang-JangCancer Gene Therapy Research Center, Zanjan University of Medical Science, Zanjan, Iran.
Soudeh Ghafouri-FardDepartment of Medical Genetics, Shahid Beheshti University of Medical Sciences, Tehran, Iran. s.ghafourifard@sbmu.ac.ir.
Mir Davood OmraniDepartment of Medical Genetics, Shahid Beheshti University of Medical Sciences, Tehran, Iran. davood_omrani@yahoo.co.uk.
Shahid Beheshti University of Medical Sciences · IRHamedan University of Medical Sciences · IRZanjan University of Medical Sciences · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Autism Spectrum DisorderRNA, Long NoncodingChildFemaleHumansMaleROC CurveMEG3 non-coding RNA, humanRNA, Long NoncodingAutism spectrum disorderCRYBG3CYTORGAS5MEG3UCA1

Identifiers

PMID34115273
OpenAlexW3166550340

What Socratic holds

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Registered trials

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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.