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Innovative Computerized Dystrophin Quantification Method Based on Spectral Confocal Microscopy
Several clinical trials are working on drug development for Duchenne and Becker muscular dystrophy (DMD and BMD) treatment, and, since the expected increase in dystrophin is relatively subtle, high-sensitivity quantification methods are necessary. There is also a need to quantify dystrophin to reach...
Autores principales: | , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10094132/ https://www.ncbi.nlm.nih.gov/pubmed/37047330 http://dx.doi.org/10.3390/ijms24076358 |
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author | Codina, Anna Roldán, Mònica Natera-de Benito, Daniel Ortez, Carlos Planas, Robert Matalonga, Leslie Cuadras, Daniel Carrera, Laura Exposito, Jesica Marquez, Jesus Jimenez-Mallebrera, Cecilia M. Porta, Josep Nascimento, Andres Jou, Cristina |
author_facet | Codina, Anna Roldán, Mònica Natera-de Benito, Daniel Ortez, Carlos Planas, Robert Matalonga, Leslie Cuadras, Daniel Carrera, Laura Exposito, Jesica Marquez, Jesus Jimenez-Mallebrera, Cecilia M. Porta, Josep Nascimento, Andres Jou, Cristina |
author_sort | Codina, Anna |
collection | PubMed |
description | Several clinical trials are working on drug development for Duchenne and Becker muscular dystrophy (DMD and BMD) treatment, and, since the expected increase in dystrophin is relatively subtle, high-sensitivity quantification methods are necessary. There is also a need to quantify dystrophin to reach a definitive diagnosis in individuals with mild BMD, and in female carriers. We developed a method for the quantification of dystrophin in DMD and BMD patients using spectral confocal microscopy. It offers the possibility to capture the whole emission spectrum for any antibody, ensuring the selection of the emission peak and allowing the detection of fluorescent emissions of very low intensities. Fluorescence was evaluated first on manually selected regions of interest (ROIs), proving the usefulness of the methodology. Later, ROI selection was automated to make it operator-independent. The proposed methodology correctly classified patients according to their diagnosis, detected even minimal traces of dystrophin, and the results obtained automatically were statistically comparable to the manual ones. Thus, spectral imaging could be implemented to measure dystrophin expression and it could pave the way for detailed analysis of how its expression relates to the clinical course. Studies could be further expanded to better understand the expression of dystrophin-associated protein complexes (DAPCs). |
format | Online Article Text |
id | pubmed-10094132 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-100941322023-04-13 Innovative Computerized Dystrophin Quantification Method Based on Spectral Confocal Microscopy Codina, Anna Roldán, Mònica Natera-de Benito, Daniel Ortez, Carlos Planas, Robert Matalonga, Leslie Cuadras, Daniel Carrera, Laura Exposito, Jesica Marquez, Jesus Jimenez-Mallebrera, Cecilia M. Porta, Josep Nascimento, Andres Jou, Cristina Int J Mol Sci Article Several clinical trials are working on drug development for Duchenne and Becker muscular dystrophy (DMD and BMD) treatment, and, since the expected increase in dystrophin is relatively subtle, high-sensitivity quantification methods are necessary. There is also a need to quantify dystrophin to reach a definitive diagnosis in individuals with mild BMD, and in female carriers. We developed a method for the quantification of dystrophin in DMD and BMD patients using spectral confocal microscopy. It offers the possibility to capture the whole emission spectrum for any antibody, ensuring the selection of the emission peak and allowing the detection of fluorescent emissions of very low intensities. Fluorescence was evaluated first on manually selected regions of interest (ROIs), proving the usefulness of the methodology. Later, ROI selection was automated to make it operator-independent. The proposed methodology correctly classified patients according to their diagnosis, detected even minimal traces of dystrophin, and the results obtained automatically were statistically comparable to the manual ones. Thus, spectral imaging could be implemented to measure dystrophin expression and it could pave the way for detailed analysis of how its expression relates to the clinical course. Studies could be further expanded to better understand the expression of dystrophin-associated protein complexes (DAPCs). MDPI 2023-03-28 /pmc/articles/PMC10094132/ /pubmed/37047330 http://dx.doi.org/10.3390/ijms24076358 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Codina, Anna Roldán, Mònica Natera-de Benito, Daniel Ortez, Carlos Planas, Robert Matalonga, Leslie Cuadras, Daniel Carrera, Laura Exposito, Jesica Marquez, Jesus Jimenez-Mallebrera, Cecilia M. Porta, Josep Nascimento, Andres Jou, Cristina Innovative Computerized Dystrophin Quantification Method Based on Spectral Confocal Microscopy |
title | Innovative Computerized Dystrophin Quantification Method Based on Spectral Confocal Microscopy |
title_full | Innovative Computerized Dystrophin Quantification Method Based on Spectral Confocal Microscopy |
title_fullStr | Innovative Computerized Dystrophin Quantification Method Based on Spectral Confocal Microscopy |
title_full_unstemmed | Innovative Computerized Dystrophin Quantification Method Based on Spectral Confocal Microscopy |
title_short | Innovative Computerized Dystrophin Quantification Method Based on Spectral Confocal Microscopy |
title_sort | innovative computerized dystrophin quantification method based on spectral confocal microscopy |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10094132/ https://www.ncbi.nlm.nih.gov/pubmed/37047330 http://dx.doi.org/10.3390/ijms24076358 |
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