Evidence map›Paper›PMID 26830013›Full record

ArticleScientific reports2016

Crosstalk between miRNAs and their regulated genes network in stroke.

Ye Yuan, Ruixia Kang, YaNan Yu, Jun Liu, YingYing Zhang, ChunFeng Shen, Jie Wang, Ping Wu, ChunTi Shen, Zhong Wang

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
1.6field-weighted citation impact, top 19% 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

12 citing papers in PubMed, 1 synthesis or guideline pooled it, 16 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Advancing Ischemic Stroke Prognosis: Key Role of MiR-155 Non-Coding RNA.International journal of molecular sciences · 2025
    Review
  5. Article
  6. Nucleic Acid Therapies for Ischemic Stroke.Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics · 2019
    Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Inhibiting MicroRNA-503 and MicroRNA-181d with Losartan Ameliorates Diabetic Nephropathy in KKAy Mice.Medical science monitor : international medical journal of experimental and clinical research · 2016
    Article
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

10 authors at 3 institutions in 1 country.

Ye YuanNanjing University of Chinese Medicine, 138 Xianlin, Nanjing 210023, China.
Ruixia KangInstitute of Basic Research in Clinical Medicine, China Academy of Chinese Medical Sciences, No. 16 Nanxiaojie, Dongzhimennei, Beijing 100700, China.
YaNan YuInstitute of Basic Research in Clinical Medicine, China Academy of Chinese Medical Sciences, No. 16 Nanxiaojie, Dongzhimennei, Beijing 100700, China.
Jun LiuInstitute of Basic Research in Clinical Medicine, China Academy of Chinese Medical Sciences, No. 16 Nanxiaojie, Dongzhimennei, Beijing 100700, China.
YingYing ZhangInstitute of Basic Research in Clinical Medicine, China Academy of Chinese Medical Sciences, No. 16 Nanxiaojie, Dongzhimennei, Beijing 100700, China.
ChunFeng ShenChangzhou Hospital of Traditional Chinese Medicine, Nanjing University of Chinese Medicine, Heping North Road, Tianning District, Changzhou 213003, China.
Jie WangGuang'anmen Hospital, China Academy of Chinese Medical sciences, Beijing 100053, China.
Ping WuGuang'anmen Hospital, China Academy of Chinese Medical sciences, Beijing 100053, China.
ChunTi ShenChangzhou Hospital of Traditional Chinese Medicine, Nanjing University of Chinese Medicine, Heping North Road, Tianning District, Changzhou 213003, China.
Zhong WangInstitute of Basic Research in Clinical Medicine, China Academy of Chinese Medical Sciences, No. 16 Nanxiaojie, Dongzhimennei, Beijing 100700, China.
Chinese Academy of Medical Sciences & Peking Union Medical College · CNNanjing University of Chinese Medicine · CNGuang’anmen Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In recent years, more and more studies focus on the roles of genes or miRNAs in stroke. However, the molecular mechanism connecting miRNAs and their targetgenes remains unclear. The aim of this study was to determine the differential regulation and correlations between miRNAs and their targetgenes in human stroke. Stroke-related miRNAs were obtained from the Human MicroRNA Disease Database (HMDD) and their targetgenes were generated from three independent sources. Kappa score was used to create the network and the functional modules. A total of 11 stroke-related miRNAs were identified from the HMDD and 441 overlapping targetgenes were extracted from the three databases. By network construction and GO analysis, 13 functional modules, 186 biological processes, and 21 pathways were found in the network, of which functional module 8 was the largest module, cellular-related process and phosphate-related process were the most important biological processes, and MAPK signaling pathway was the most significant pathway. In our study, all miRNAs regulate the stroke modular network by their targetgenes. After the validation of miRNAs, we found that miR-605 and miR-181d were highly expressed in the blood of stroke patients which never reported before may supply novel target for treatment.

Indexed as

Gene Expression RegulationGene Regulatory NetworksRNA InterferenceComputational BiologyDatabases, GeneticGene Expression ProfilingGene OntologyHumansMicroRNAsMolecular Sequence AnnotationReproducibility of ResultsRNA, MessengerStrokeMicroRNAsRNA, Messenger

Identifiers

PMID26830013
PMCPMC4735861
OpenAlexW2431274644

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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 OpenQuestion graph.