Evidence map›Paper›PMID 29071282›Full record

ArticleMolecular biology research communications2017

Identification of miR-24 and miR-137 as novel candidate multiple sclerosis miRNA biomarkers using multi-staged data analysis protocol.

Farveh Ehya, Hossein Abdul Tehrani, Masoud Garshasbi, Seyed Masood Nabavi

Open access · greenAbstract read
In one paragraph

Article in Molecular biology research communications, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
1.0field-weighted citation impact, top 28% 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

15 citing papers in PubMed, 1 synthesis or guideline pooled it, 26 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. The Role of miR-137 in Neurodegenerative Disorders.International journal of molecular sciences · 2024
    Review
  6. Review
  7. Review
  8. An Update on Diagnostic Laboratory Biomarkers for Multiple Sclerosis.Current neurology and neuroscience reports · 2022
    Review
  9. Review
  10. Article
  11. Article
  12. Environmental Influencers, MicroRNA, and Multiple Sclerosis.Journal of central nervous system disease · 2020
    Review
  13. Article
  14. Review
  15. Noncoding RNAs in multiple sclerosis.Clinical epigenetics · 2018
    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

4 authors at 2 institutions in 1 country.

Farveh EhyaDepartment of Medical Biotechnology, Faculty of Medical Sciences, Tarbiat Modares University, Tehran, Iran.
Hossein Abdul TehraniDepartment of Medical Biotechnology, Faculty of Medical Sciences, Tarbiat Modares University, Tehran, Iran.
Masoud GarshasbiDepartment of Medical Genetics, Faculty of Medical Sciences, Tarbiat Modares University, Tehran, Iran.
Seyed Masood NabaviDepartment of Neurology, Mostafa Hospital, Shahed University, Tehran, Iran.
Tarbiat Modares University · IRRoyan Institute · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Many studies have investigated misregulation of miRNAs relevant to multiple sclerosis (MS) pathogenesis. Abnormal miRNAs can be used both as candidate biomarker for MS diagnosis and understanding the disease miRNA-mRNA regulatory network. In this comprehensive study, misregulated miRNAs related to MS were collected from existing literature, databases and via in silico prediction. A multi-staged data integration strategy (including the construction of miRNA-mRNA regulatory network and systematic data analysis) was conducted in order to investigate MS related miRNAs and their regulatory networks. The final outcome was a bi-layer MS related regulatory network constructed with 27 miRNAs (seven of them were novel) and 59 mRNA targets. To verify the accuracy of the bioinformatics strategy three novel and five previously reported miRNAs from the network model were selected for experimental validation using the real-time PCR assay. The obtained results proved the accuracy of the network. The expression of themiR-24 and miR-137(as novel MS candidate biomarker) and miR-16, and miR-181 (as previously reported MS candidate biomarker) showed significant deregulation in 33 MS patients compared to the control. The optimized data integration strategy conducted in this study found two miRNAs (miR-24and miR-16)that can be considered as candidate biomarkers for MS and also has the potential to generate a regulatory network to aid in further understanding the mechanisms underlying this disease.

Indexed as

Data integrationmiR-137miR-24miRNA-mRNA regulatory network

Identifiers

PMID29071282
PMCPMC5640895
OpenAlexW2750018134

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.