The DOI matches its Crossref record; 185 of the 185 references it cites were found in a registry or an index.
Extracellular vesicles in diagnostics and therapy of the ischaemic heart: Position Paper from the Working Group on Cellular Biology of the Heart of the European Society of Cardiology
Open accessAbstract
Extracellular vesicles (EVs)—particularly exosomes and microvesicles (MVs)—are attracting considerable interest in the cardiovascular field as the wide range of their functions is recognized. These capabilities include transporting regulatory molecules including different RNA species, lipids, and proteins through the extracellular space including blood and delivering these cargos to recipient cells to modify cellular activity. EVs powerfully stimulate angiogenesis, and can protect the heart against myocardial infarction. They also appear to mediate some of the paracrine effects of cells, and have therefore been proposed as a potential alternative to cell-based regenerative therapies. Moreover, EVs of different sources may be useful biomarkers of cardiovascular disease identities. However, the methods used for the detection and isolation of EVs have several limitations and vary widely between studies, leading to uncertainties regarding the exact population of EVs studied and how to interpret the data. The number of publications in the exosome and MV field has been increasing exponentially in recent years and, therefore, in this ESC Working Group Position Paper, the overall objective is to provide a set of recommendations for the analysis and translational application of EVs focussing on the diagnosis and therapy of the ischaemic heart. This should help to ensure that the data from emerging studies are robust and repeatable, and optimize the pathway towards the diagnostic and therapeutic use of EVs in clinical studies for patient benefit.
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Cites
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Cited by
Bøtker, H. E., Hausenloy, D., Andreadou, I., Antonucci, S., Boengler, K., Davidson, S. M., Deshwal, S., Devaux, Y., Di Lisa, F., Di Sante, M., et al. (2018) · Basic Research in Cardiology · doi:10.1007/s00395-018-0696-8 · Cited by 423
Self-citationTakov, K., Yellon, D. M., & Davidson, S. M. (2019) · Journal of Extracellular Vesicles · doi:10.1080/20013078.2018.1560809 · Cited by 417
Self-citationIschemic heart-derived small extracellular vesicles impair adipocyte function
Gan, L., Liu, D., Xie, D., Bond Lau, W., Liu, J., Christopher, T. A., Lopez, B., Liu, L., Hu, H., Yao, P., et al. (2022) · Circulation Research · doi:10.1161/circresaha.121.320157 · Cited by 80
Metadata
- Authors
- Sluijter, J. P. G., Davidson, S. M., Boulanger, C. M., Buzás, E. I., de Kleijn, D. P. V., Engel, F. B., Giricz, Z., Hausenloy, D. J., Kishore, R., Lecour, S., Leor, J., Madonna, R., Perrino, C., Prunier, F., Sahoo, S., Schiffelers, R. M., Schulz, R., Van Laake, L. W., Ytrehus, K., & Ferdinandy, P.
- Venue
- Cardiovascular Research
- Publisher
- Oxford University Press (OUP)
- Published
- 2017-11-02
- Volume
- 114
- Issue
- 1
- Pages
- 19-34
- ISSN
- 0008-6363 (ISSN-L)
- 1755-3245
- OpenAlex
- W2765644674
- Cited by
- 355
- References
- 185
- FWCI
- 12.52
- Type
- journal article
- Language
- en
- Open access
- hybrid
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- CoChat. (2026). Citation check: Extracellular vesicles in diagnostics and therapy of the ischaemic heart: Position Paper from the Working Group on Cellular Biology of the Heart of the European Society of Cardiology. https://app.cochat.ai/papers/10.1093/cvr/cvx211
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- Sluijter, J. P. G., Davidson, S. M., Boulanger, C. M., Buzás, E. I., de Kleijn, D. P. V., Engel, F. B., Giricz, Z., Hausenloy, D. J., Kishore, R., Lecour, S., Leor, J., Madonna, R., Perrino, C., Prunier, F., Sahoo, S., Schiffelers, R. M., Schulz, R., Van Laake, L. W., Ytrehus, K., & Ferdinandy, P. (2018). Extracellular vesicles in diagnostics and therapy of the ischaemic heart: Position Paper from the Working Group on Cellular Biology of the Heart of the European Society of Cardiology. Cardiovascular Research. https://doi.org/10.1093/cvr/cvx211
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.
