2022
DOI: 10.1016/j.isci.2022.103822
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Analysis of age-related left ventricular collagen remodeling in living donors: Implications in arrhythmogenesis

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Cited by 5 publications
(7 citation statements)
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“…Fibrosis is also a well-known arrhythmogenic substrate as it can hamper proper impulse propagation [ 4 ]. Recently, similar observations have been reported in humans and large animals (pig) in relation to age and fibrosis (amount and spatial distribution), and specifically related to collagen as chief component of the ventricular extracellular matrix [ 5 , 6 ].…”
Section: Introductionsupporting
confidence: 57%
See 1 more Smart Citation
“…Fibrosis is also a well-known arrhythmogenic substrate as it can hamper proper impulse propagation [ 4 ]. Recently, similar observations have been reported in humans and large animals (pig) in relation to age and fibrosis (amount and spatial distribution), and specifically related to collagen as chief component of the ventricular extracellular matrix [ 5 , 6 ].…”
Section: Introductionsupporting
confidence: 57%
“…Age-related morphological alterations in the marmoset heart were investigated through TPEF and SHG imaging [ 43 ]. More recently, Garcia-Mendivil and colleagues performed quantitative and spatial characterization of collagen in the left ventricle (LV) myocardium of young to old pigs, and human donors [ 6 ] to analyze its potential implications for ventricular arrhythmia development with age. Consistency between pig and human results led the authors to consider the pig as a relevant model of age-related heart changes.…”
Section: Introductionmentioning
confidence: 99%
“…Adapted from García-Mendívil et al. 1 Using the myocardial tissue mask (3) and the collagen mask (5), the percentage of collagen ( ) is calculated as the number of activated pixels in the collagen mask ( ) divided by the sum of activated pixels in the myocardial tissue ( ) and the collagen masks: where: >Nc = nnz(collagen_mask); (6) >Nm = nnz(myocardial_tissue_mask); The MATLAB function “nnz” returns the number of nonzero elements in a specific matrix. Note: The obtained binary masks are used in subsequent analyses.…”
Section: Step-by-step Methods Detailsmentioning
confidence: 99%
“…Extracted from García-Mendívil et al. 1 Compute the percentage of lipofuscin ( ) as the number of activated pixels in the lipofuscin mask ( ) divided by the activated pixels in the myocardial tissue mask ( ): where: >N l = nnz(binary_lipofuscin_mask); (8) >N m = nnz(myocardial_tissue_mask); Note: The MATLAB functions “imbinarize” and “nnz” are described in step 11. …”
Section: Step-by-step Methods Detailsmentioning
confidence: 99%
“…However, this benefit was primarily restricted to heart failure with reduced ejection fraction (HFrEF) and not HFpEF [8]. This difference may have been secondary to the heterogeneity of the HFpEF clinical syndrome as reflected by the pathophysiological role of comorbidities, e.g., hyperinsulinemia in non-insulin-dependent diabetes mellitus as the cause of cardiac remodeling [9], elevated afterload leading to left ventricular (LV) hypertrophy in hypertension [10], the presence of epicardial adipose tissue resulting in restricted relaxation of the left chambers [11], and age-related fibrotic changes in older patients [12].…”
Section: Introductionmentioning
confidence: 99%