The DOI matches its Crossref record; 85 of the 85 references it cites were found in a registry or an index.
Elastin and collagen fibre microstructure of the human aorta in ageing and disease: a review
Open accessAbstract
Aortic disease is a significant cause of death in developed countries. The most common forms of aortic disease are aneurysm, dissection, atherosclerotic occlusion and ageing-induced stiffening. The microstructure of the aortic tissue has been studied with great interest, because alteration of the quantity and/or architecture of the connective fibres (elastin and collagen) within the aortic wall, which directly imparts elasticity and strength, can lead to the mechanical and functional changes associated with these conditions. This review article summarizes the state of the art with respect to characterization of connective fibre microstructure in the wall of the human aorta in ageing and disease, with emphasis on the ascending thoracic aorta and abdominal aorta where the most common forms of aortic disease tend to occur.
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Processing of collagen based biomaterials and the resulting materials properties
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Senescent cells: a therapeutic target for cardiovascular disease
Childs, B. G., Li, H., & van Deursen, J. M. (2018) · Journal of Clinical Investigation · doi:10.1172/jci95146 · Cited by 192
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Metadata
- Authors
- Tsamis, A., Krawiec, J. T., & Vorp, D. A.
- Venue
- Journal of The Royal Society Interface
- Publisher
- The Royal Society
- Published
- 2013-06-06
- Volume
- 10
- Issue
- 83
- Pages
- 20121004
- ISSN
- 1742-5662 (ISSN-L)
- 1742-5689
- OpenAlex
- W2024264687
- Cited by
- 506
- References
- 85
- FWCI
- 16.47
- Type
- journal article
- Language
- en
- Open access
- green
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- Tsamis, A., Krawiec, J. T., & Vorp, D. A. (2013). Elastin and collagen fibre microstructure of the human aorta in ageing and disease: a review. Journal of The Royal Society Interface. https://doi.org/10.1098/rsif.2012.1004
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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.
