Evidence map›Paper›PMID 28098882›Full record

ArticleMolecular medicine reports2017

Downregulation of microRNA‑34b is responsible for the elevation of blood pressure in spontaneously hypertensive rats.

Fan Yang, Haiyu Li, Youyou Du, Qiangwei Shi, Luosha Zhao

Open access · hybridAbstract read
In one paragraph

Article in Molecular medicine reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
0.9field-weighted citation impact, top 31% 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

14 citing papers in PubMed, 23 citations in OpenAlex.

  1. Blood Pressure and Late Pregnancy Circulating miRNAs in the MADRES Study.Journal of the American Heart Association · 2025
    Article
  2. Review
  3. MicroRNAs: The Missing Link between Hypertension and Periodontitis?International journal of molecular sciences · 2024
    Review
  4. Review
  5. Article
  6. Review
  7. Life (Basel, Switzerland) · 2020
    Article
  8. Early Programming of Adult Systemic Essential Hypertension.International journal of molecular sciences · 2020
    Review
  9. Noncoding RNAs in Hypertension.Hypertension (Dallas, Tex. : 1979) · 2019
    Review
  10. Review
  11. Review
  12. Noncoding RNAs in the Regulatory Network of Hypertension.Hypertension (Dallas, Tex. : 1979) · 2018
    Review
  13. Review
  14. 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

5 authors at 1 institution in 1 country.

Fan YangDepartment of Cardiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan 450052, P.R. China.
Haiyu LiDepartment of Cardiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan 450052, P.R. China.
Youyou DuDepartment of Cardiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan 450052, P.R. China.
Qiangwei ShiDepartment of Cardiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan 450052, P.R. China.
Luosha ZhaoDepartment of Cardiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan 450052, P.R. China.
First Affiliated Hospital of Zhengzhou University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The present study aimed to identify the microRNA (miRNA) responsible for the development of primary hypertension, and examine the downstream signaling pathway, which mediates the effect of the miRNA. Reverse transcription‑quantitative polymerase chain reaction analysis was performed to identify which miRNA may be involved in the pathogenesis of hypertension. In silico analysis and a luciferase assay were used to validate the target of the selected miRNA, and miRNA mimics and small interfering (si)RNA of the target were transfected into smooth muscle cells to examine its effect on the biological activity of the cells. miR‑34b was found to be upregulated in spontaneously hypertensive rats (SHRs), compared with Wistar Kyoto (WKY) rats. Therefore, the present study used online miRNA target prediction tools to predict the candidate target genes of miR‑34b in the database, and consequently identified cyclin G1 (CCNG1) and cyclin‑dependent kinase 6 (CDK6) as its possible target genes. CDK6 subsequently identified to be the direct target gene of miR‑34b using a luciferase reporter assay in vascular smooth muscle cells (VSMCs). The present study also established the possible negative regulatory association between miR‑34b and CDK6 via investigating the mRNA and protein expression levels of CDK6 and CCNG1 in VSMCs collected from the SHRs and WKY rats, respectively. To investigate the signaling pathways between miR‑34b and CDK6, the mRNA and protein expression levels of CDK6, and the proliferation rates were compared in VSMCs transfected with CDK6 siRNA or miR‑34b mimics, the results of which indicated that the miR‑34b mimics exerted the same effects on the expression of CDK6 and cell proliferation as CDK6 siRNA. The negative regulatory association between miR‑34b and its target, CDK6, was confirmed, which may offer potential as a novel therapeutic target in the treatment of hypertension.

Indexed as

Gene Expression RegulationAnimalsBlood PressureCells, CulturedCell SurvivalCyclin-Dependent Kinase 6Disease Models, AnimalDown-RegulationEssential HypertensionFemaleGene Expression ProfilingGenetic Predisposition to DiseaseHypertensionMicroRNAsMuscle, Smooth, VascularMyocytes, Smooth MuscleCyclin-Dependent Kinase 6MicroRNAsMIRN34 microRNA, rat

Identifiers

PMID28098882
PMCPMC5367366
OpenAlexW2577864355

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.