Evidence map›Paper›PMID 35207618›Full record

ArticleJournal of personalized medicine2022

Relationship between Epicardial and Coronary Adipose Tissue and the Expression of Adiponectin, Leptin, and Interleukin 6 in Patients with Coronary Artery Disease.

Olga V Gruzdeva, Yulia A Dyleva, Ekaterina V Belik, Maxim Y Sinitsky, Aleksandr N Stasev, Aleksandr N Kokov, Natalia K Brel, Evgenia O Krivkina, Evgenia E Bychkova, Roman S Tarasov and 1 more

Open access · goldAbstract read
In one paragraph

Article in Journal of personalized medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
6.2field-weighted citation impact, top 3% 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

27 citing papers in PubMed, 39 citations in OpenAlex.

  1. Article
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  11. Evaluating Epicardial Fat Density Using ROI-Based Analysis: A Feasibility Study.Journal of cardiovascular development and disease · 2025
    Article
  12. Review
  13. Review
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  16. Epicardial Fat Volume as a Good Predictor for Multivessel Coronary Artery Disease.High blood pressure & cardiovascular prevention : the official journal of the Italian Society of Hypertension · 2023
    Observational
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  18. Review
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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

11 authors at 1 institution in 1 country.

Olga V GruzdevaFederal State Budgetary Scientific Institution "Research Institute for Complex Issues of Cardiovascular Diseases", 650002 Kemerovo, Russia.
Yulia A DylevaFederal State Budgetary Scientific Institution "Research Institute for Complex Issues of Cardiovascular Diseases", 650002 Kemerovo, Russia.ORCID 0000-0002-6890-3287
Ekaterina V BelikFederal State Budgetary Scientific Institution "Research Institute for Complex Issues of Cardiovascular Diseases", 650002 Kemerovo, Russia.ORCID 0000-0003-3996-3325
Maxim Y SinitskyFederal State Budgetary Scientific Institution "Research Institute for Complex Issues of Cardiovascular Diseases", 650002 Kemerovo, Russia.ORCID 0000-0002-4824-2418
Aleksandr N StasevFederal State Budgetary Scientific Institution "Research Institute for Complex Issues of Cardiovascular Diseases", 650002 Kemerovo, Russia.
Aleksandr N KokovFederal State Budgetary Scientific Institution "Research Institute for Complex Issues of Cardiovascular Diseases", 650002 Kemerovo, Russia.ORCID 0000-0002-7573-0636
Natalia K BrelFederal State Budgetary Scientific Institution "Research Institute for Complex Issues of Cardiovascular Diseases", 650002 Kemerovo, Russia.
Evgenia O KrivkinaFederal State Budgetary Scientific Institution "Research Institute for Complex Issues of Cardiovascular Diseases", 650002 Kemerovo, Russia.
Evgenia E BychkovaFederal State Budgetary Scientific Institution "Research Institute for Complex Issues of Cardiovascular Diseases", 650002 Kemerovo, Russia.
Roman S TarasovFederal State Budgetary Scientific Institution "Research Institute for Complex Issues of Cardiovascular Diseases", 650002 Kemerovo, Russia.ORCID 0000-0003-3882-709X
Olga L BarbarashFederal State Budgetary Scientific Institution "Research Institute for Complex Issues of Cardiovascular Diseases", 650002 Kemerovo, Russia.
Kemerovo State University · RU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Adipose tissue (AT) is an endocrine and paracrine organ that synthesizes biologically active adipocytokines, which affect inflammation, fibrosis, and atherogenesis. Epicardial and perivascular fat depots are of great interest to researchers, owing to their potential effects on the myocardium and blood vessels. The aim of the study was to assess the expression and secretion of adipocytokine genes in the AT of patients with coronary artery disease (CAD) and patients with aortic or mitral valve replacement. This study included 84 patients with CAD and 50 patients with aortic or mitral valve replacement. Adipocytes were isolated from subcutaneous, epicardial (EAT), and perivascular AT (PVAT), and were cultured for 24 h. EAT exhibited the lowest level of adiponectin gene expression and secretion, regardless of nosology, and high expression levels of the leptin gene and interleukin-6 (IL-6). However, EAT adipocytes in patients with CAD were characterized by more pronounced changes in comparison with the group with heart defects. High leptin and IL-6 levels resulted in increased pro-inflammatory activity, as observed in both EAT and PVAT adipocytes, especially in individuals with CAD. Therefore, our results revealed the pathogenetic significance of alterations in the adipokine and cytokine status of adipocytes of EAT and PVAT in patients with CAD.

Indexed as

adiponectinepicardial adipose tissueinterleukin-6leptinperivascular adipose tissue

Identifiers

PMID35207618
PMCPMC8877574
OpenAlexW4206096777

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.