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From whole-organ imaging to in-silico blood flow modeling: a new multi-scale network analysis for revisiting tissue functional anatomy

Kennel, Pol and Dichamp, Jules and Barreau, Corinne and Guissard, Christophe and Teyssedre, Lise and Rouquette, Jacques and Colombelli, Julien and Lorsignol, Anne and Casteilla, Louis and Plouraboué, Franck From whole-organ imaging to in-silico blood flow modeling: a new multi-scale network analysis for revisiting tissue functional anatomy. (2020) PLOS Computational Biology, 16 (2). e1007322. ISSN 1553-7358

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Official URL: https://doi.org/10.1371/journal.pcbi.1007322


We present a multi-disciplinary image-based blood flow perfusion modeling of a whole organ vascular network for analyzing both its structural and functional properties. We show how the use of Light-Sheet Fluorescence Microscopy (LSFM) permits whole-organ micro- vascular imaging, analysis and modelling. By using adapted image post-treatment workflow, we could segment, vectorize and reconstruct the entire micro-vascular network composed of 1.7 million vessels, from the tissue-scale, inside a * 25 × 5 × 1 = 125mm 3 volume of the mouse fat pad, hundreds of times larger than previous studies, down to the cellular scale at micron resolution, with the entire blood perfusion modeled. Adapted network analysis revealed the structural and functional organization of meso-scale tissue as strongly connected communities of vessels. These communities share a distinct heterogeneous core region and a more homogeneous peripheral region, consistently with known biological functions of fat tissue. Graph clustering analysis also revealed two distinct robust meso-scale typical sizes (from 10 to several hundred times the cellular size), revealing, for the first time, strongly connected functional vascular communities. These community networks support heterogeneous micro-environments. This work provides the proof of concept that in-silico all-tissue perfusion modeling can reveal new structural and functional exchanges between micro-regions in tissues, found from community clusters in the vascular graph.

Item Type:Article
Additional Information:This is an open access article distribuited under the terms of the Creative Commons Attribution License
HAL Id:hal-02538402
Audience (journal):International peer-reviewed journal
Uncontrolled Keywords:
Institution:Other partners > Barcelona Institute of Science and Technology - BIST (SPAIN)
French research institutions > Centre National de la Recherche Scientifique - CNRS (FRANCE)
Other partners > Etablissement Français du Sang - EFS Midi-Pyrénées (FRANCE)
Université de Toulouse > Institut National Polytechnique de Toulouse - Toulouse INP (FRANCE)
Université de Toulouse > Université Toulouse III - Paul Sabatier - UT3 (FRANCE)
Laboratory name:
Calcul en Midi-Pyrenees - CALMIP (France) - Region Occitanie (France)
Deposited On:11 Mar 2020 15:20

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