Evidence map›Paper›PMID 35893230›Full record

ArticleNon-coding RNA2022

The Profile of Circulating Blood microRNAs in Outpatients with Vulnerable and Stable Atherosclerotic Plaques: Associations with Cardiovascular Risks.

Andrey N Rozhkov, Dmitry Yu Shchekochikhin, Yaroslav I Ashikhmin, Yulia O Mitina, Veronika V Evgrafova, Andrey V Zhelankin, Daria G Gognieva, Anna S Akselrod, Philippe Yu Kopylov

Open access · goldAbstract read
In one paragraph

Article in Non-coding RNA, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.8field-weighted citation impact, top 14% 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

10 citing papers in PubMed, 20 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Review
  6. MicroRNA-181 in cardiovascular disease: Emerging biomarkers and therapeutic targets.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2024
    Review
  7. Article
  8. Article
  9. Article
  10. 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

9 authors at 3 institutions in 1 country.

Andrey N RozhkovWorld-Class Research Center "Digital Biodesign and Personalized Healthcare", I. M. Sechenov First Moscow State Medical University, 119991 Moscow, Russia.ORCID 0000-0002-2735-076X
Dmitry Yu ShchekochikhinDepartment of Cardiology, Functional and Ultrasound Diagnostics, N.V. Sklifosovsky Institute of Clinical Medicine, I. M. Sechenov First Moscow State Medical University, 119991 Moscow, Russia.ORCID 0000-0002-8209-2791
Yaroslav I AshikhminInternational Medical Cluster, 40 Bolshoy Boulevard Skolkovo Innovation Center, 121205 Moscow, Russia.ORCID 0000-0002-1243-5701
Yulia O MitinaSkolkovo Institute of Science and Technology, 121205 Moscow, Russia.
Veronika V EvgrafovaDepartment of Cardiology, Functional and Ultrasound Diagnostics, N.V. Sklifosovsky Institute of Clinical Medicine, I. M. Sechenov First Moscow State Medical University, 119991 Moscow, Russia.
Andrey V ZhelankinFederal Research and Clinical Center of Physical-Chemical Medicine of Federal Medical Biological Agency, 119435 Moscow, Russia.ORCID 0000-0002-3014-2005
Daria G GognievaWorld-Class Research Center "Digital Biodesign and Personalized Healthcare", I. M. Sechenov First Moscow State Medical University, 119991 Moscow, Russia.
Anna S AkselrodDepartment of Cardiology, Functional and Ultrasound Diagnostics, N.V. Sklifosovsky Institute of Clinical Medicine, I. M. Sechenov First Moscow State Medical University, 119991 Moscow, Russia.
Philippe Yu KopylovWorld-Class Research Center "Digital Biodesign and Personalized Healthcare", I. M. Sechenov First Moscow State Medical University, 119991 Moscow, Russia.ORCID 0000-0001-5124-6383
Sechenov University · RUFederal Medical-Biological Agency · RUSkolkovo Institute of Science and Technology · RU

Funding

Ministry of Science and Higher Education of the Russian Federation within the framework of state support for the creation and development of World Class Research Centers «Digital biodesign and personalized healthcare» № 075-15-2020-926
6 · The paper itself

Abstract

Non-coding RNAs reflect many biological processes in the human body, including athero-sclerosis. In a cardiology outpatient department cohort (N = 83), we aimed to compare the levels of circulating microRNAs in groups with vulnerable plaques (N = 22), stable plaques (N = 23) and plaque-free (N = 17) depending on coronary computed tomography angiography and to evaluate associations of microRNA levels with calculated cardiovascular risks (CVR), based on the SCORE2 (+OP), ACC/AHA, ATP-III and MESA scales. Coronary computed tomography was performed on a 640-slice computed tomography scanner. Relative plasma levels of microRNA were assessed via a real-time polymerase chain reaction. We found significant differences in miR-143-3p levels (p = 0.0046 in plaque-free vs. vulnerable plaque groups) and miR-181b-5p (p = 0.0179 in stable vs. vulnerable plaques groups). Analysis of microRNA associations with CVR did not show significant differences for SCORE2 (+OP) and ATPIII scales. MiR-126-5p and miR-150-5p levels were significantly higher (p < 0.05) in patients with ACC/AHA risk >10% and miR-145-5p had linear relationships with ACC/AHA score (adjusted p = 0.0164). The relative plasma level of miR-195 was higher (p < 0.05) in patients with MESA risk > 7.5% and higher (p < 0.05) in patients with zero coronary calcium index (p = 0.036). A linear relationship with coronary calcium was observed for miR-126-3p (adjusted p = 0.0484). A positive correlation with high coronary calcium levels (> 100 Agatson units) was found for miR-181-5p (p = 0.036). Analyzing the biological pathways of these microRNAs, we suggest that miR-143-3p and miR-181-5p can be potential markers of the atherosclerosis process. Other miRNAs (miR-126-3p, 126-5p, 145-5p, 150-5p, 195-5p) can be considered as potential cardiovascular risk modifiers, but it is necessary to validate our results in a large prospective trial.

Indexed as

atherosclerosiscardiovascular riskcoronary calcinosiscoronary computed tomography angiographymicroRNAmiR-126-5pmiR-143-3pmiR-150-5pmiR-181b-5pvulnerable plaque

Identifiers

PMID35893230
PMCPMC9326687
OpenAlexW4283701323

What Socratic 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 Socratic graph.