Quantification of Myocyte Disarray in Human Cardiac Tissue
Proper three-dimensional (3D)-cardiomyocyte orientation is important for an effective tension production in cardiac muscle. Cardiac diseases can cause severe remodeling processes in the heart, such as cellular misalignment, that can affect both the electrical and mechanical functions of the organ. T...
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Frontiers Media S.A.
2021
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oai:doaj.org-article:45e7f98f680e4abbb1bfc477a09962762021-11-16T05:07:49ZQuantification of Myocyte Disarray in Human Cardiac Tissue1664-042X10.3389/fphys.2021.750364https://doaj.org/article/45e7f98f680e4abbb1bfc477a09962762021-11-01T00:00:00Zhttps://www.frontiersin.org/articles/10.3389/fphys.2021.750364/fullhttps://doaj.org/toc/1664-042XProper three-dimensional (3D)-cardiomyocyte orientation is important for an effective tension production in cardiac muscle. Cardiac diseases can cause severe remodeling processes in the heart, such as cellular misalignment, that can affect both the electrical and mechanical functions of the organ. To date, a proven methodology to map and quantify myocytes disarray in massive samples is missing. In this study, we present an experimental pipeline to reconstruct and analyze the 3D cardiomyocyte architecture in massive samples. We employed tissue clearing, staining, and advanced microscopy techniques to detect sarcomeres in relatively large human myocardial strips with micrometric resolution. Z-bands periodicity was exploited in a frequency analysis approach to extract the 3D myofilament orientation, providing an orientation map used to characterize the tissue organization at different spatial scales. As a proof-of-principle, we applied the proposed method to healthy and pathologically remodeled human cardiac tissue strips. Preliminary results suggest the reliability of the method: strips from a healthy donor are characterized by a well-organized tissue, where the local disarray is log-normally distributed and slightly depends on the spatial scale of analysis; on the contrary, pathological strips show pronounced tissue disorganization, characterized by local disarray significantly dependent on the spatial scale of analysis. A virtual sample generator is developed to link this multi-scale disarray analysis with the underlying cellular architecture. This approach allowed us to quantitatively assess tissue organization in terms of 3D myocyte angular dispersion and may pave the way for developing novel predictive models based on structural data at cellular resolution.Francesco GiardiniErica LazzeriGiulia VitaleCecilia FerrantiniCecilia FerrantiniIrene CostantiniIrene CostantiniIrene CostantiniFrancesco S. PavoneFrancesco S. PavoneFrancesco S. PavoneCorrado PoggesiLeonardo BocchiLeonardo BocchiLeonardo SacconiLeonardo SacconiLeonardo SacconiFrontiers Media S.A.article3D cardiomyocyte orientation3D FFTcytoarchitecture reconstructiondisarray quantificationtissue modelingPhysiologyQP1-981ENFrontiers in Physiology, Vol 12 (2021) |
| institution |
DOAJ |
| collection |
DOAJ |
| language |
EN |
| topic |
3D cardiomyocyte orientation 3D FFT cytoarchitecture reconstruction disarray quantification tissue modeling Physiology QP1-981 |
| spellingShingle |
3D cardiomyocyte orientation 3D FFT cytoarchitecture reconstruction disarray quantification tissue modeling Physiology QP1-981 Francesco Giardini Erica Lazzeri Giulia Vitale Cecilia Ferrantini Cecilia Ferrantini Irene Costantini Irene Costantini Irene Costantini Francesco S. Pavone Francesco S. Pavone Francesco S. Pavone Corrado Poggesi Leonardo Bocchi Leonardo Bocchi Leonardo Sacconi Leonardo Sacconi Leonardo Sacconi Quantification of Myocyte Disarray in Human Cardiac Tissue |
| description |
Proper three-dimensional (3D)-cardiomyocyte orientation is important for an effective tension production in cardiac muscle. Cardiac diseases can cause severe remodeling processes in the heart, such as cellular misalignment, that can affect both the electrical and mechanical functions of the organ. To date, a proven methodology to map and quantify myocytes disarray in massive samples is missing. In this study, we present an experimental pipeline to reconstruct and analyze the 3D cardiomyocyte architecture in massive samples. We employed tissue clearing, staining, and advanced microscopy techniques to detect sarcomeres in relatively large human myocardial strips with micrometric resolution. Z-bands periodicity was exploited in a frequency analysis approach to extract the 3D myofilament orientation, providing an orientation map used to characterize the tissue organization at different spatial scales. As a proof-of-principle, we applied the proposed method to healthy and pathologically remodeled human cardiac tissue strips. Preliminary results suggest the reliability of the method: strips from a healthy donor are characterized by a well-organized tissue, where the local disarray is log-normally distributed and slightly depends on the spatial scale of analysis; on the contrary, pathological strips show pronounced tissue disorganization, characterized by local disarray significantly dependent on the spatial scale of analysis. A virtual sample generator is developed to link this multi-scale disarray analysis with the underlying cellular architecture. This approach allowed us to quantitatively assess tissue organization in terms of 3D myocyte angular dispersion and may pave the way for developing novel predictive models based on structural data at cellular resolution. |
| format |
article |
| author |
Francesco Giardini Erica Lazzeri Giulia Vitale Cecilia Ferrantini Cecilia Ferrantini Irene Costantini Irene Costantini Irene Costantini Francesco S. Pavone Francesco S. Pavone Francesco S. Pavone Corrado Poggesi Leonardo Bocchi Leonardo Bocchi Leonardo Sacconi Leonardo Sacconi Leonardo Sacconi |
| author_facet |
Francesco Giardini Erica Lazzeri Giulia Vitale Cecilia Ferrantini Cecilia Ferrantini Irene Costantini Irene Costantini Irene Costantini Francesco S. Pavone Francesco S. Pavone Francesco S. Pavone Corrado Poggesi Leonardo Bocchi Leonardo Bocchi Leonardo Sacconi Leonardo Sacconi Leonardo Sacconi |
| author_sort |
Francesco Giardini |
| title |
Quantification of Myocyte Disarray in Human Cardiac Tissue |
| title_short |
Quantification of Myocyte Disarray in Human Cardiac Tissue |
| title_full |
Quantification of Myocyte Disarray in Human Cardiac Tissue |
| title_fullStr |
Quantification of Myocyte Disarray in Human Cardiac Tissue |
| title_full_unstemmed |
Quantification of Myocyte Disarray in Human Cardiac Tissue |
| title_sort |
quantification of myocyte disarray in human cardiac tissue |
| publisher |
Frontiers Media S.A. |
| publishDate |
2021 |
| url |
https://doaj.org/article/45e7f98f680e4abbb1bfc477a0996276 |
| work_keys_str_mv |
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