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Cited by 224

The DOI matches its Crossref record; 16 of the 16 references it cites were found in a registry or an index.

Perivascular adipose tissue as a source of therapeutic targets and clinical biomarkers

Open access
Antoniades, Charalambos, Tousoulis, Dimitris, Vavlukis, Marija, Fleming, Ingrid, Duncker, Dirk J, Eringa, Etto, Manfrini, Olivia, Antonopoulos, Alexios S, Oikonomou, Evangelos, Padró, Teresa, Trifunovic-Zamaklar, Danijela, De Luca, Giuseppe, Guzik, Tomasz, Cenko, Edina, Djordjevic-Dikic, Ana, Crea, Filippo·2023·European Heart Journal
DOI 10.1093/eurheartj/ehad484
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Abstract

Obesity is a modifiable cardiovascular risk factor, but adipose tissue (AT) depots in humans are anatomically, histologically, and functionally heterogeneous. For example, visceral AT is a pro-atherogenic secretory AT depot, while subcutaneous AT represents a more classical energy storage depot. Perivascular adipose tissue (PVAT) regulates vascular biology via paracrine cross-talk signals. In this position paper, the state-of-the-art knowledge of various AT depots is reviewed providing a consensus definition of PVAT around the coronary arteries, as the AT surrounding the artery up to a distance from its outer wall equal to the luminal diameter of the artery. Special focus is given to the interactions between PVAT and the vascular wall that render PVAT a potential therapeutic target in cardiovascular diseases. This Clinical Consensus Statement also discusses the role of PVAT as a clinically relevant source of diagnostic and prognostic biomarkers of vascular function, which may guide precision medicine in atherosclerosis, hypertension, heart failure, and other cardiovascular diseases. In this article, its role as a ‘biosensor’ of vascular inflammation is highlighted with description of recent imaging technologies that visualize PVAT in clinical practice, allowing non-invasive quantification of coronary inflammation and the related residual cardiovascular inflammatory risk, guiding deployment of therapeutic interventions. Finally, the current and future clinical applicability of artificial intelligence and machine learning technologies is reviewed that integrate PVAT information into prognostic models to provide clinically meaningful information in primary and secondary prevention.

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Metadata

Authors
Antoniades, C., Tousoulis, D., Vavlukis, M., Fleming, I., Duncker, D. J., Eringa, E., Manfrini, O., Antonopoulos, A. S., Oikonomou, E., Padró, T., Trifunovic-Zamaklar, D., De Luca, G., Guzik, T., Cenko, E., Djordjevic-Dikic, A., & Crea, F.
Venue
European Heart Journal
Publisher
Oxford University Press (OUP)
Published
2023-08-21
Volume
44
Issue
38
Pages
3827-3844
ISSN
  • 0195-668X (ISSN-L)
  • 1522-9645
DOI
10.1093/eurheartj/ehad484
OpenAlex
W4386019925
Cited by
224
References
16
FWCI
39.58
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Perivascular adipose tissue as a source of therapeutic targets and clinical biomarkers. https://app.cochat.ai/papers/10.1093/eurheartj/ehad484
The paper
Antoniades, C., Tousoulis, D., Vavlukis, M., Fleming, I., Duncker, D. J., Eringa, E., Manfrini, O., Antonopoulos, A. S., Oikonomou, E., Padró, T., Trifunovic-Zamaklar, D., De Luca, G., Guzik, T., Cenko, E., Djordjevic-Dikic, A., & Crea, F. (2023). Perivascular adipose tissue as a source of therapeutic targets and clinical biomarkers. European Heart Journal. https://doi.org/10.1093/eurheartj/ehad484

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.