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Fibrosis quantification using multiphoton excitation imaging of picrosirius red stained cardiac tissue

Traditional methodologies for fibrosis quantification involve histological measurements, staining with Masson’s trichrome and picrosirius red (PSR), and label-free imaging using second harmonic generation (SHG). The difficulty of label-free cardiac SHG imaging is that both collagen (i.e., collagen 1...

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Autores principales: Jones, Bryce A., Torrado, Belen, Myakala, Komuraiah, Wang, Xiaoxin X., Perry, Priscilla E., Rosenberg, Avi Z., Levi, Moshe, Ranjit, Suman
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Journal Experts 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10543454/
https://www.ncbi.nlm.nih.gov/pubmed/37790455
http://dx.doi.org/10.21203/rs.3.rs-3329402/v1
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author Jones, Bryce A.
Torrado, Belen
Myakala, Komuraiah
Wang, Xiaoxin X.
Perry, Priscilla E.
Rosenberg, Avi Z.
Levi, Moshe
Ranjit, Suman
author_facet Jones, Bryce A.
Torrado, Belen
Myakala, Komuraiah
Wang, Xiaoxin X.
Perry, Priscilla E.
Rosenberg, Avi Z.
Levi, Moshe
Ranjit, Suman
author_sort Jones, Bryce A.
collection PubMed
description Traditional methodologies for fibrosis quantification involve histological measurements, staining with Masson’s trichrome and picrosirius red (PSR), and label-free imaging using second harmonic generation (SHG). The difficulty of label-free cardiac SHG imaging is that both collagen (i.e., collagen 1 fibrils) and myosin are harmonophores that generate SHG signals, and specific identification of either collagen or myosin is difficult to achieve. Here we present an alternate method of quantifying cardiac fibrosis by using PSR staining followed by multiphoton excitation fluorescence imaging. Our data from the deoxycorticosterone model of cardiac fibrosis shows that this imaging method and downstream analyses, including background correction, are robust and easy to perform. These advantages are due to the high signal-to-noise ratio provided by PSR in areas of collagen fibers. Furthermore, the hyperspectral and fluorescence lifetime information of PSR-stained area of fibrosis shows better quantification can eventually be obtained using more complex instrumentation.
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spelling pubmed-105434542023-10-03 Fibrosis quantification using multiphoton excitation imaging of picrosirius red stained cardiac tissue Jones, Bryce A. Torrado, Belen Myakala, Komuraiah Wang, Xiaoxin X. Perry, Priscilla E. Rosenberg, Avi Z. Levi, Moshe Ranjit, Suman Res Sq Article Traditional methodologies for fibrosis quantification involve histological measurements, staining with Masson’s trichrome and picrosirius red (PSR), and label-free imaging using second harmonic generation (SHG). The difficulty of label-free cardiac SHG imaging is that both collagen (i.e., collagen 1 fibrils) and myosin are harmonophores that generate SHG signals, and specific identification of either collagen or myosin is difficult to achieve. Here we present an alternate method of quantifying cardiac fibrosis by using PSR staining followed by multiphoton excitation fluorescence imaging. Our data from the deoxycorticosterone model of cardiac fibrosis shows that this imaging method and downstream analyses, including background correction, are robust and easy to perform. These advantages are due to the high signal-to-noise ratio provided by PSR in areas of collagen fibers. Furthermore, the hyperspectral and fluorescence lifetime information of PSR-stained area of fibrosis shows better quantification can eventually be obtained using more complex instrumentation. American Journal Experts 2023-09-13 /pmc/articles/PMC10543454/ /pubmed/37790455 http://dx.doi.org/10.21203/rs.3.rs-3329402/v1 Text en https://creativecommons.org/licenses/by/4.0/This work is licensed under a Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0/) , which allows reusers to distribute, remix, adapt, and build upon the material in any medium or format, so long as attribution is given to the creator. The license allows for commercial use.
spellingShingle Article
Jones, Bryce A.
Torrado, Belen
Myakala, Komuraiah
Wang, Xiaoxin X.
Perry, Priscilla E.
Rosenberg, Avi Z.
Levi, Moshe
Ranjit, Suman
Fibrosis quantification using multiphoton excitation imaging of picrosirius red stained cardiac tissue
title Fibrosis quantification using multiphoton excitation imaging of picrosirius red stained cardiac tissue
title_full Fibrosis quantification using multiphoton excitation imaging of picrosirius red stained cardiac tissue
title_fullStr Fibrosis quantification using multiphoton excitation imaging of picrosirius red stained cardiac tissue
title_full_unstemmed Fibrosis quantification using multiphoton excitation imaging of picrosirius red stained cardiac tissue
title_short Fibrosis quantification using multiphoton excitation imaging of picrosirius red stained cardiac tissue
title_sort fibrosis quantification using multiphoton excitation imaging of picrosirius red stained cardiac tissue
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10543454/
https://www.ncbi.nlm.nih.gov/pubmed/37790455
http://dx.doi.org/10.21203/rs.3.rs-3329402/v1
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