2026-06-14T05:05:26Zhttps://repisalud.isciii.es/rest/oai/requestoai:repisalud.isciii.es:20.500.12105/66922024-09-27T07:58:38Zcom_20.500.12105_19604com_20.500.12105_2051col_20.500.12105_19605
Repisalud
author
Gkontra, Polyxeni
author
Norton, Kerri-Ann
author
Zak, Magdalena M.
author
Clemente, Cristina
author
Aguero, Jaume
author
Ibáñez, Borja
author
Santos, Andres
author
Popel, Aleksander S.
author
Arroyo, Alicia G
funder
European Commission
funder
Ministerio de Economía y Competitividad (España)
funder
Instituto de Salud Carlos III
funder
Unión Europea. Fondo Europeo de Desarrollo Regional (FEDER/ERDF)
funder
Fundación La Marató TV3
funder
National Institutes of Health (Estados Unidos)
funder
Ministerio de Economía, Industria y Competitividad (España)
funder
Fundación ProCNIC
2018-11-22T08:10:54Z
2018-11-22T08:10:54Z
2018
Sci Rep. 2018; 8(1):1854
10.1038/s41598-018-19758-4
2045-2322
Scientific Reports
29382844
http://hdl.handle.net/20.500.12105/6692
The microvasculature continuously adapts in response to pathophysiological conditions to meet tissue demands. Quantitative assessment of the dynamic changes in the coronary microvasculature is therefore crucial in enhancing our knowledge regarding the impact of cardiovascular diseases in tissue perfusion and in developing efficient angiotherapies. Using confocal microscopy and thick tissue sections, we developed a 3D fully automated pipeline that allows to precisely reconstruct the microvasculature and to extract parameters that quantify all its major features, its relation to smooth muscle actin positive cells and capillary diffusion regions. The novel pipeline was applied in the analysis of the coronary microvasculature from healthy tissue and tissue at various stages after myocardial infarction (MI) in the pig model, whose coronary vasculature closely resembles that of human tissue. We unravelled alterations in the microvasculature, particularly structural changes and angioadaptation in the aftermath of MI. In addition, we evaluated the extracted knowledge's potential for the prediction of pathophysiological conditions in tissue, using different classification schemes. The high accuracy achieved in this respect, demonstrates the ability of our approach not only to quantify and identify pathology-related changes of microvascular beds, but also to predict complex and dynamic microvascular patterns.
eng
Deciphering microvascular changes after myocardial infarction through 3D fully automated image analysis
journal article
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DecipheringMicrovascularChangesAfter_2018.pdf
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DecipheringMicrovascularChangesAfter_2018_MOESM1_ESM.pdf
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DecipheringMicrovascularChangesAfter_2018.pdf.txt
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