Evidence map›Paper›PMID 29328372›Full record

ArticleInternational journal of molecular medicine2018

Differential microRNA expression profiles and bioinformatics analysis between young and aging spontaneously hypertensive rats.

Jingfeng Wang, Jingjing Zhang, Xuefeng Ding, Yanyan Wang, Zhiming Li, Weipeng Zhao, Jianguo Jia, Jingmin Zhou, Junbo Ge

Open access · hybridAbstract read
In one paragraph

Article in International journal of molecular medicine, 2018. 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
0.3field-weighted citation impact, top 47% 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, 9 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Posttranscriptional Regulation by Proteins and Noncoding RNAs.Advances in experimental medicine and biology · 2024
    Article
  6. Role of miR-182 in cardiovascular and cerebrovascular diseases.Frontiers in cell and developmental biology · 2023
    Review
  7. Article
  8. Article
  9. Network Pharmacology-Based Strategy to Investigate the Pharmacological Mechanisms ofEvidence-based complementary and alternative medicine : eCAM · 2020
    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

9 authors at 4 institutions in 1 country.

Jingfeng WangDepartment of Cardiology, Shanghai Institute of Cardiovascular Diseases, Zhongshan Hospital, Fudan University, Shanghai 200032, P.R. China.
Jingjing ZhangDepartment of Cardiology, Zoucheng Hospital, Affiliated Hospital of Jining Medical University, Jining, Shandong 273500, P.R. China.
Xuefeng DingDepartment of Cardiology, The Affiliated Hospital of North Sichuan Medical College, Nanchong, Sichuan 637300, P.R. China.
Yanyan WangDepartment of Cardiology, Shanghai Institute of Cardiovascular Diseases, Zhongshan Hospital, Fudan University, Shanghai 200032, P.R. China.
Zhiming LiDepartment of Cardiology, People's Hospital of Nanbu County, Nanchong, Sichuan 637300, P.R. China.
Weipeng ZhaoDepartment of Cardiology, Shanghai Institute of Cardiovascular Diseases, Zhongshan Hospital, Fudan University, Shanghai 200032, P.R. China.
Jianguo JiaDepartment of Cardiology, Shanghai Institute of Cardiovascular Diseases, Zhongshan Hospital, Fudan University, Shanghai 200032, P.R. China.
Jingmin ZhouDepartment of Cardiology, Shanghai Institute of Cardiovascular Diseases, Zhongshan Hospital, Fudan University, Shanghai 200032, P.R. China.
Junbo GeDepartment of Cardiology, Shanghai Institute of Cardiovascular Diseases, Zhongshan Hospital, Fudan University, Shanghai 200032, P.R. China.
Fudan University · CNZhongshan Hospital · CNAffiliated Hospital of Jining Medical University · CNAffiliated Hospital of North Sichuan Medical College · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

MicroRNAs (miRNAs/miRs) serve a role as important regulators in cardiac hypertrophy. The present study aimed to reveal the differential expression profile of miRNAs between young and aging spontaneously hypertensive rats (SHRs) and studied the functional annotation of predicted targets. Briefly, 3‑month‑old and 12‑month‑old SHRs (n=3/group) were subjected to echocardiography, histopathological analysis and dihydroethidium staining. Subsequently, small RNA sequencing and data processing was conducted to identify the differentially expressed miRNAs between these two groups. Eight significantly upregulated miRNAs were validated by reverse transcription‑quantitative polymerase chain reaction (RT‑qPCR), followed by in silico target gene prediction. Functional annotation analysis of the predicted targets was performed using Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) databases. As a result, significantly impaired left ventricular diastolic function was detected in the 12‑month‑old SHRs, alongside increased myocyte cross‑sectional area and percentage area of fibrosis, elevated reactive oxygen species production and reduced microvessel density (P<0.05). Compared with the 3‑month‑old SHRs, 21 miRNAs were significantly upregulated and five miRNAs were downregulated in 12‑month‑old rats (P<0.05). Eight upregulated, remodeling‑associated miRNAs, including rno‑miR‑132‑3p, rno‑miR‑182, rno‑miR‑208b‑3p, rno‑miR‑212‑3p, rno‑miR‑214‑3p, rno‑miR‑218a‑5p, rno‑miR‑221‑3p and rno‑miR‑222‑3p, underwent bioinformatics analysis. The target genes were significantly enriched in 688 GO terms and 39 KEGG pathways, including regulation of peptidyl‑tyrosine phosphorylation, regulation of protein serine/threonine kinase activity, adrenergic signaling in cardiomyocytes, ErbB signaling pathway, mTOR signaling pathway, FoxO signaling pathway, Ras signaling pathway, insulin secretion, adipocytokine signaling pathway, HIF‑1 signaling pathway, Rap1 signaling pathway, VEGF signaling pathway and TNF signaling pathway. Collectively, the present study identified a dysregulated miRNA profile in aging SHRs, which targeted numerous signaling pathways associated with cardiac hypertrophy, autophagy, insulin metabolism, angiogenesis and inflammatory response.

Indexed as

Computational BiologyGene Expression ProfilingGene Expression Regulation, DevelopmentalAgingAnimalsCluster AnalysisDown-RegulationElectrocardiographyGene OntologyHeart VentriclesHigh-Throughput Nucleotide SequencingInflammationMaleMicroRNAsMolecular Sequence AnnotationNatriuretic Peptide, BrainMicroRNAsNatriuretic Peptide, BrainPeptide Fragmentspro-brain natriuretic peptide (1-76)Reactive Oxygen Species

Identifiers

PMID29328372
PMCPMC5819922
OpenAlexW2783901486

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.