Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/36947
Title: Analysis of age-related left ventricular collagen remodeling in living donors: Implications in arrhythmogenesis
Authors: Garcia-Mendivil, Laura
Perez-Zabalza, Maria
Mountris, Konstantinos
DUWE, Sam 
SMISDOM, Nick 
Perez, Marta
Lujan, Lluis
WOLFS, Esther 
DRIESEN, Ronald 
Maria Vallejo-Gil, Jose
Carlos Fresneda-Roldan, Pedro
Fananas-Mastral, Javier
Vazquez-Sancho, Manuel
Matamala-Adell, Marta
Fernando Sorribas-Berjon, Juan
Andre Bellido-Morales, Javier
Javier Mancebon-Sierra, Francisco
Sebastian Vaca-Nunez, Alexander
Ballester-Cuenca, Carlos
Olivan-Viguera, Aida
Diez, Emiliano
Ordovas, Laura
Pueyo, Esther
Issue Date: 2022
Publisher: CELL PRESS
Source: iScience, 25 (2) (Art N° 103822)
Abstract: Age-related fibrosis in the left ventricle (LV) has been mainly studied in animals by assessing collagen content. Using second-harmonic generation microscopy and image processing, we evaluated amount, aggregation and spatial distribution of LV collagen in young to old pigs, and middle-age and elder living donors. All collagen features increased when comparing adult and old pigs with young ones, but not when comparing adult with old pigs or middle-age with elder individuals. Remarkably, all collagen parameters strongly correlated with lipofuscin, a biological age marker, in humans. By building patient-specific models of human ventricular tissue electrophysiology, we confirmed that amount and organization of fibrosis modulated arrhythmia vulnerability, and that distribution should be accounted for arrhythmia risk assessment. In conclusion, we characterize the age associated changes in LV collagen and its potential implications for ventricular arrhythmia development. Consistency between pig and human results substantiate the pig as a relevant model of age-related LV collagen dynamics.
Notes: Garcia-Mendivil, L; Ordovas, L (corresponding author), Univ Zaragoza, Aragon Inst Engn Res, Biomed Signal Interpretat & Computat Simulat Grp, Zaragoza 50018, Spain.; Garcia-Mendivil, L; Ordovas, L (corresponding author), IIS Aragon, BSICoS, Zaragoza 50018, Spain.; Ordovas, L (corresponding author), ARAID Fdn, Zaragoza 50018, Spain.
lgmendivil@unizar.es; lordovas@unizar.es
Keywords: Computational bioinformatics;Disease;Pathophysiology
Document URI: http://hdl.handle.net/1942/36947
e-ISSN: 2589-0042
DOI: 10.1016/j.isci.2022.103822
ISI #: WOS:000760482200010
Rights: 2022 The Author(s). https://doi.org/10.1016/j.isci.2022.103822 This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
Category: A1
Type: Journal Contribution
Validations: ecoom 2023
Appears in Collections:Research publications

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