Evidence map›Paper›PMID 34726081›Full record

ArticleJournal of the American Heart Association2021

Relationship Between Coronary Atheroma, Epicardial Adipose Tissue Inflammation, and Adipocyte Differentiation Across the Human Myocardial Bridge.

Tracey McLaughlin, Ingela Schnittger, Anna Nagy, Elizabeth Zanley, Yue Xu, Yanqiu Song, Koen Nieman, Jennifer A Tremmel, Damini Dey, Jack Boyd and 1 more

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in Journal of the American Heart Association, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
3.9field-weighted citation impact, top 5% 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

23 citing papers in PubMed, 31 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Review
  5. Evaluating Epicardial Fat Density Using ROI-Based Analysis: A Feasibility Study.Journal of cardiovascular development and disease · 2025
    Article
  6. Article
  7. Article
  8. Article
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  14. Article
  15. 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
  16. Myocardial Bridge: Friend, Enemy, or Frenemy?Arquivos brasileiros de cardiologia · 2023
    Article
  17. Artificial intelligence for advanced analysis of coronary plaque.European heart journal supplements : journal of the European Society of Cardiology · 2023
    Article
  18. Review
  19. Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors at 4 institutions in 2 countries.

Tracey McLaughlinDivision of Endocrinology Stanford University School of Medicine Stanford CA.ORCID 0000-0002-4829-8649
Ingela SchnittgerDivision of Cardiovascular Medicine Stanford University School of Medicine Stanford CA.ORCID 0000-0001-8476-2755
Anna NagyDivision of Endocrinology Stanford University School of Medicine Stanford CA.
Elizabeth ZanleyDivision of Endocrinology Stanford University School of Medicine Stanford CA.ORCID 0000-0002-1807-5399
Yue XuDivision of Endocrinology Stanford University School of Medicine Stanford CA.ORCID 0000-0003-4205-5109
Yanqiu SongCardiovascular Institute Tianjin Chest Hospital Tianjin China.
Koen NiemanDivision of Cardiovascular Medicine Stanford University School of Medicine Stanford CA.
Jennifer A TremmelDivision of Cardiovascular Medicine Stanford University School of Medicine Stanford CA.ORCID 0000-0001-6620-9139
Damini DeyDepartment of Biomedical Sciences and Medicine Cedars-Sinai Medical Center Biomedical Imaging Research Institute Los Angeles CA.ORCID 0000-0003-2236-6970
Jack BoydDepartment of Cardiothoracic Surgery Stanford University School of Medicine Stanford CA.
Harold SacksDivision of Endocrinology Department of Medicine David Geffen School of Medicine at UCLA Los Angeles CA.ORCID 0000-0002-0763-6592
Stanford University · USCedars-Sinai Medical Center · USTianjin Chest Hospital · CNUniversity of California, Los Angeles · US

Funding

Stanford Islet Research CoreP30DK116074 · NIDDK · STANFORD UNIVERSITY · PI Seung K Kim · 2017 to 2026
$19.5M
Integrated prediction of cardiovascular events by automated coronary plaque and pericoronary adipose tissue quantification from CT AngiographyR01HL148787 · NHLBI · CEDARS-SINAI MEDICAL CENTER · PI DEY, DAMINI · 2020 to 2023
$3.0M
NHLBI NIH HHS R01 HL148787NIDDK NIH HHS P30 DK116074
6 · The paper itself

Abstract

Background Inflammation in epicardial adipose tissue (EAT) may contribute to coronary atherosclerosis. Myocardial bridge is a congenital anomaly in which the left anterior descending coronary artery takes a "tunneled" course under a bridge of myocardium: while atherosclerosis develops in the proximal left anterior descending coronary artery, the bridged portion is spared, highlighting the possibility that geographic separation from inflamed EAT is protective. We tested the hypothesis that inflammation in EAT was related to atherosclerosis by comparing EAT from proximal and bridge depots in individuals with myocardial bridge and varying degrees of atherosclerotic plaque. Methods and Results Maximal plaque burden was quantified by intravascular ultrasound, and inflammation was quantified by pericoronary EAT signal attenuation (pericoronary adipose tissue attenuation) from cardiac computed tomography scans. EAT overlying the proximal left anterior descending coronary artery and myocardial bridge was harvested for measurement of mRNA and microRNA (miRNA) using custom chips by Nanostring; inflammatory cytokines were measured in tissue culture supernatants. Pericoronary adipose tissue attenuation was increased, indicating inflammation, in proximal versus bridge EAT, in proportion to atherosclerotic plaque. Individuals with moderate-high versus low plaque burden exhibited greater expression of inflammation and hypoxia genes, and lower expression of adipogenesis genes. Comparison of gene expression in proximal versus bridge depots revealed differences only in participants with moderate-high plaque: inflammation was higher in proximal and adipogenesis lower in bridge EAT. Secreted inflammatory cytokines tended to be higher in proximal EAT. Hypoxia-inducible factor 1a was highly associated with inflammatory gene expression. Seven miRNAs were differentially expressed by depot: 3192-5P, 518D-3P, and 532-5P were upregulated in proximal EAT, whereas miR 630, 575, 16-5P, and 320E were upregulated in bridge EAT. miR 630 correlated directly with plaque burden and inversely with adipogenesis genes. miR 3192-5P, 518D-3P, and 532-5P correlated inversely with hypoxia/oxidative stress, peroxisome proliferator-activated receptor gamma coactivator 1-alpha (PCG1a), adipogenesis, and angiogenesis genes. Conclusions Inflammation is specifically elevated in EAT overlying atherosclerotic plaque, suggesting that EAT inflammation is caused by atherogenic molecular signals, including hypoxia-inducible factor 1a and/or miRNAs in an "inside-to-out" relationship. Adipogenesis was suppressed in the bridge EAT, but only in the presence of atherosclerotic plaque, supporting cross talk between the vasculature and EAT. miR 630 in EAT, expressed differentially according to burden of atherosclerotic plaque, and 3 other miRNAs appear to inhibit key genes related to adipogenesis, angiogenesis, hypoxia/oxidative stress, and thermogenesis in EAT, highlighting a role for miRNA in mediating cross talk between the coronary vasculature and EAT.

Indexed as

AtherosclerosisCoronary Artery DiseaseMicroRNAsPlaque, AtheroscleroticAdipocytesAdipose TissueCoronary VesselsCytokinesHumansHypoxiaInflammationMyocardiumPericardiumCytokinesMicroRNAsatherogenesisatherosclerosisepicardial fatinflammationmyocardial bridging

Identifiers

PMID34726081
PMCPMC8751937
OpenAlexW3210185521

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.