Diagnosis of a model of Duchenne muscular dystrophy in blood serum of mdx mice using Raman hyperspectroscopy

Abstract Duchenne muscular dystrophy (DMD) is the most common and severe form of muscular dystrophy and affects boys in infancy or early childhood. Current methods for diagnosing DMD are often laborious, expensive, invasive, and typically diagnose the disease late in its progression. In an effort to...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Nicole M. Ralbovsky, Paromita Dey, Andrew Galfano, Bijan K. Dey, Igor K. Lednev
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2020
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/1f0d6267f7f9453584dbf817b857cc6d
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:1f0d6267f7f9453584dbf817b857cc6d
record_format	dspace
spelling	oai:doaj.org-article:1f0d6267f7f9453584dbf817b857cc6d2021-12-02T15:33:10ZDiagnosis of a model of Duchenne muscular dystrophy in blood serum of mdx mice using Raman hyperspectroscopy10.1038/s41598-020-68598-82045-2322https://doaj.org/article/1f0d6267f7f9453584dbf817b857cc6d2020-07-01T00:00:00Zhttps://doi.org/10.1038/s41598-020-68598-8https://doaj.org/toc/2045-2322Abstract Duchenne muscular dystrophy (DMD) is the most common and severe form of muscular dystrophy and affects boys in infancy or early childhood. Current methods for diagnosing DMD are often laborious, expensive, invasive, and typically diagnose the disease late in its progression. In an effort to improve the accuracy and ease of diagnosis, this study focused on developing a novel method for diagnosing DMD which combines Raman hyperspectroscopic analysis of blood serum with advanced statistical analysis. Partial least squares discriminant analysis was applied to the spectral dataset acquired from blood serum of a mouse model of Duchenne muscular dystrophy (mdx) and control mice. Cross-validation showed 95.2% sensitivity and 94.6% specificity for identifying diseased spectra. These results were verified via external validation, which achieved 100% successful classification accuracy at the donor level. This proof-of-concept study presents Raman hyperspectroscopic analysis of blood serum as an easy, fast, non-expensive, and minimally invasive detection method for distinguishing control and mdx model mice, with a strong potential for clinical diagnosis of DMD.Nicole M. RalbovskyParomita DeyAndrew GalfanoBijan K. DeyIgor K. LednevNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 10, Iss 1, Pp 1-11 (2020)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Nicole M. Ralbovsky Paromita Dey Andrew Galfano Bijan K. Dey Igor K. Lednev Diagnosis of a model of Duchenne muscular dystrophy in blood serum of mdx mice using Raman hyperspectroscopy
description	Abstract Duchenne muscular dystrophy (DMD) is the most common and severe form of muscular dystrophy and affects boys in infancy or early childhood. Current methods for diagnosing DMD are often laborious, expensive, invasive, and typically diagnose the disease late in its progression. In an effort to improve the accuracy and ease of diagnosis, this study focused on developing a novel method for diagnosing DMD which combines Raman hyperspectroscopic analysis of blood serum with advanced statistical analysis. Partial least squares discriminant analysis was applied to the spectral dataset acquired from blood serum of a mouse model of Duchenne muscular dystrophy (mdx) and control mice. Cross-validation showed 95.2% sensitivity and 94.6% specificity for identifying diseased spectra. These results were verified via external validation, which achieved 100% successful classification accuracy at the donor level. This proof-of-concept study presents Raman hyperspectroscopic analysis of blood serum as an easy, fast, non-expensive, and minimally invasive detection method for distinguishing control and mdx model mice, with a strong potential for clinical diagnosis of DMD.
format	article
author	Nicole M. Ralbovsky Paromita Dey Andrew Galfano Bijan K. Dey Igor K. Lednev
author_facet	Nicole M. Ralbovsky Paromita Dey Andrew Galfano Bijan K. Dey Igor K. Lednev
author_sort	Nicole M. Ralbovsky
title	Diagnosis of a model of Duchenne muscular dystrophy in blood serum of mdx mice using Raman hyperspectroscopy
title_short	Diagnosis of a model of Duchenne muscular dystrophy in blood serum of mdx mice using Raman hyperspectroscopy
title_full	Diagnosis of a model of Duchenne muscular dystrophy in blood serum of mdx mice using Raman hyperspectroscopy
title_fullStr	Diagnosis of a model of Duchenne muscular dystrophy in blood serum of mdx mice using Raman hyperspectroscopy
title_full_unstemmed	Diagnosis of a model of Duchenne muscular dystrophy in blood serum of mdx mice using Raman hyperspectroscopy
title_sort	diagnosis of a model of duchenne muscular dystrophy in blood serum of mdx mice using raman hyperspectroscopy
publisher	Nature Portfolio
publishDate	2020
url	https://doaj.org/article/1f0d6267f7f9453584dbf817b857cc6d
work_keys_str_mv	AT nicolemralbovsky diagnosisofamodelofduchennemusculardystrophyinbloodserumofmdxmiceusingramanhyperspectroscopy AT paromitadey diagnosisofamodelofduchennemusculardystrophyinbloodserumofmdxmiceusingramanhyperspectroscopy AT andrewgalfano diagnosisofamodelofduchennemusculardystrophyinbloodserumofmdxmiceusingramanhyperspectroscopy AT bijankdey diagnosisofamodelofduchennemusculardystrophyinbloodserumofmdxmiceusingramanhyperspectroscopy AT igorklednev diagnosisofamodelofduchennemusculardystrophyinbloodserumofmdxmiceusingramanhyperspectroscopy
_version_	1718387069121724416

Diagnosis of a model of Duchenne muscular dystrophy in blood serum of mdx mice using Raman hyperspectroscopy

Ejemplares similares