Evidence map›Paper›PMID 28560417›Full record

ArticleMolecular medicine reports2017

Atheroprotective effects of statins in patients with unstable angina by regulating the blood-borne microRNA network.

Sufang Li, Chengfu Cao, Hong Chen, Junxian Song, Chongyou Lee, Jing Zhang, Feng Zhang, Qiang Geng, Zheng Li, Jingjin Li

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 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.4field-weighted citation impact, top 41% 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

7 citing papers in PubMed, 10 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. Therapeutic Value of miRNAs in Coronary Artery Disease.Oxidative medicine and cellular longevity · 2021
    Review
  5. Article
  6. Article
  7. Circulating MicroRNAs in Young Patients with Acute Coronary Syndrome.International journal of molecular sciences · 2018
    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.

Sufang LiDepartment of Cardiology, Peking University People's Hospital, Beijing 100044, P.R. China.
Chengfu CaoDepartment of Cardiology, Peking University People's Hospital, Beijing 100044, P.R. China.
Hong ChenDepartment of Cardiology, Peking University People's Hospital, Beijing 100044, P.R. China.
Junxian SongDepartment of Cardiology, Peking University People's Hospital, Beijing 100044, P.R. China.
Chongyou LeeDepartment of Cardiology, Peking University People's Hospital, Beijing 100044, P.R. China.
Jing ZhangDepartment of Cardiology, Peking University People's Hospital, Beijing 100044, P.R. China.
Feng ZhangDepartment of Cardiology, Peking University People's Hospital, Beijing 100044, P.R. China.
Qiang GengDepartment of Cardiology, Peking University People's Hospital, Beijing 100044, P.R. China.
Zheng LiDepartment of Cardiology, Peking University People's Hospital, Beijing 100044, P.R. China.
Jingjin LiDepartment of Cardiology, Beijing Tiantan Hospital, Capital Medical University, Beijing 100050, P.R. China.
Peking University People's Hospital · CNPeking University · CNCapital Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Experimental studies have demonstrated several effects of statins in acute coronary syndrome (ACS) that may extend their clinical benefit beyond the lipid profile modification itself. However, the precise underlying mechanism remains to be elucidated. microRNAs (miRNAs) serve significant roles in the pathophysiology of atherosclerotic plaque progression. The present study investigated the protective role of statins in patients with unstable angina (UA) by regulating the circulating miRNA network. miRNA array results demonstrated that there were 21 differentially expressed miRNAs in non‑statin‑treated patients with UA (n=8) compared with non‑coronary artery disease controls (n=8), and 33 differentially expressed miRNAs in statin‑treated patients with UA (n=8) compared with non‑statin patients. TargetScan and miRanda programs were used to predict miRNAs target genes. miRNAs target genes in vascular endothelial cells and monocytes were clustered based on the CGAP SAGE library via the Database for Annotation, Visualization and Integrated Discovery (DAVID) platform, and miRNA target genes in platelets were clustered based on a UP tissue‑specific library via the DAVID platform. The PANTHER database via DAVID platform was used to perform signaling pathway analysis. The miRNA‑gene/pathway network was visualized by Cytoscape software. Bioinformatic analysis suggested that statin‑induced miRNAs functions were primarily enriched in angiogenesis, integrin and platelet derived growth factor signaling pathways in UA patients. In endothelial cells and platelets, statin‑induced miRNAs primarily targeted the integrin signaling pathway, and in monocytes primarily targeted cytoskeletal regulation by the Rho GTPase signaling pathway. These results revealed that statins may serve systematic protective roles in UA patients by influencing the circulating miRNA regulatory network. Further studies are required to verify the functions of statin‑induced miRNAs in endothelial cells, platelets and monocytes.

Indexed as

Circulating MicroRNAAgedAngina, UnstableComputational BiologyFemaleGene Expression ProfilingGene Expression RegulationGene Regulatory NetworksHumansHydroxymethylglutaryl-CoA Reductase InhibitorsIntegrinsMaleMicroRNAsMiddle AgedNeovascularization, PathologicPlaque, AtheroscleroticCirculating MicroRNAHydroxymethylglutaryl-CoA Reductase InhibitorsIntegrinsMicroRNAsPlatelet-Derived Growth Factor

Identifiers

PMID28560417
PMCPMC5482202
OpenAlexW2617249976

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.