The severity of Osteogenesis imperfecta and type I collagen pattern in human skin as determined by nonlinear microscopy: proof of principle of a diagnostic method

Autores
Adur, Javier Fernando; D´Souza Li, Lilia; Pedroni, Marcus Vinícius; Steiner, Carlos E.; Pelagati, Vitor B.; de Thomaz, Andre A.; Carvalho, Hernandes F.; Cesar, Carlos L.
Año de publicación
2013
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Background: The confirmatory diagnosis of Osteogenesis Imperfecta (OI) requires invasive, commonly bone biopsy, time consuming and destructive methods. This paper proposes an alternative method using a combination of two-photon excitation fluorescence (TPEF) and second-harmonic generation (SHG) microscopies from easily obtained human skin biopsies. We show that this method can distinguish subtypes of human OI. Methodology/Principal Findings: Different aspects of collagen microstructure of skin fresh biopsies and standard H&E-stained sections of normal and OI patients (mild and severe forms) were distinguished by TPEF and SHG images. Moreover, important differences between subtypes of OI were identified using different methods of quantification such as collagen density, ratio between collagen and elastic tissue, and gray-level co-occurrence matrix (GLCM) image-pattern analysis. Collagen density was lower in OI dermis, while the SHG/autofluorescence index of the dermis was significantly higher in OI as compared to that of the normal skin. We also showed that the energy value of GLCM texture analysis is useful to discriminate mild from severe OI and from normal skin. Conclusions/Significance: This work demonstrated that nonlinear microscopy techniques in combination with image-analysis approaches represent a powerful tool to investigate the collagen organization in skin dermis in patients with OI and has the potential to distinguish the different types of OI. The procedure outlined in this paper requires a skin biopsy, which is almost painless as compared to the bone biopsy commonly used in conventional methods. The data presented here complement existing clinical diagnostic techniques and can be used as a diagnostic procedure to confirm the disease, evaluate its severity and treatment efficacy.
Fil: Adur, Javier Fernando. Universidad Nacional de Entre Ríos. Facultad de Ingeniería; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidade Estadual de Campinas; Brasil
Fil: D´Souza Li, Lilia. Universidade Estadual de Campinas; Brasil
Fil: Pedroni, Marcus Vinícius. Universidade Estadual de Campinas; Brasil
Fil: Steiner, Carlos E.. Universidade Estadual de Campinas; Brasil
Fil: Pelagati, Vitor B.. Universidade Estadual de Campinas; Brasil
Fil: de Thomaz, Andre A.. Universidade Estadual de Campinas; Brasil
Fil: Carvalho, Hernandes F.. Universidade Estadual de Campinas; Brasil
Fil: Cesar, Carlos L.. Universidade Estadual de Campinas; Brasil
Materia
OSTEOGENESIS IMPERFECTA
NONLINEAR MICROSCOPY
TEXTURE ANALYSIS
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/23785
Acceder
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network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling The severity of Osteogenesis imperfecta and type I collagen pattern in human skin as determined by nonlinear microscopy: proof of principle of a diagnostic methodAdur, Javier FernandoD´Souza Li, LiliaPedroni, Marcus ViníciusSteiner, Carlos E.Pelagati, Vitor B.de Thomaz, Andre A.Carvalho, Hernandes F.Cesar, Carlos L.OSTEOGENESIS IMPERFECTANONLINEAR MICROSCOPYTEXTURE ANALYSIShttps://purl.org/becyt/ford/1.3https://purl.org/becyt/ford/1Background: The confirmatory diagnosis of Osteogenesis Imperfecta (OI) requires invasive, commonly bone biopsy, time consuming and destructive methods. This paper proposes an alternative method using a combination of two-photon excitation fluorescence (TPEF) and second-harmonic generation (SHG) microscopies from easily obtained human skin biopsies. We show that this method can distinguish subtypes of human OI. Methodology/Principal Findings: Different aspects of collagen microstructure of skin fresh biopsies and standard H&E-stained sections of normal and OI patients (mild and severe forms) were distinguished by TPEF and SHG images. Moreover, important differences between subtypes of OI were identified using different methods of quantification such as collagen density, ratio between collagen and elastic tissue, and gray-level co-occurrence matrix (GLCM) image-pattern analysis. Collagen density was lower in OI dermis, while the SHG/autofluorescence index of the dermis was significantly higher in OI as compared to that of the normal skin. We also showed that the energy value of GLCM texture analysis is useful to discriminate mild from severe OI and from normal skin. Conclusions/Significance: This work demonstrated that nonlinear microscopy techniques in combination with image-analysis approaches represent a powerful tool to investigate the collagen organization in skin dermis in patients with OI and has the potential to distinguish the different types of OI. The procedure outlined in this paper requires a skin biopsy, which is almost painless as compared to the bone biopsy commonly used in conventional methods. The data presented here complement existing clinical diagnostic techniques and can be used as a diagnostic procedure to confirm the disease, evaluate its severity and treatment efficacy.Fil: Adur, Javier Fernando. Universidad Nacional de Entre Ríos. Facultad de Ingeniería; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidade Estadual de Campinas; BrasilFil: D´Souza Li, Lilia. Universidade Estadual de Campinas; BrasilFil: Pedroni, Marcus Vinícius. Universidade Estadual de Campinas; BrasilFil: Steiner, Carlos E.. Universidade Estadual de Campinas; BrasilFil: Pelagati, Vitor B.. Universidade Estadual de Campinas; BrasilFil: de Thomaz, Andre A.. Universidade Estadual de Campinas; BrasilFil: Carvalho, Hernandes F.. Universidade Estadual de Campinas; BrasilFil: Cesar, Carlos L.. Universidade Estadual de Campinas; BrasilPublic Library of Science2013-07info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/23785Adur, Javier Fernando; D´Souza Li, Lilia; Pedroni, Marcus Vinícius; Steiner, Carlos E.; Pelagati, Vitor B.; et al.; The severity of Osteogenesis imperfecta and type I collagen pattern in human skin as determined by nonlinear microscopy: proof of principle of a diagnostic method; Public Library of Science; Plos One; 8; 7; 7-2013; 1-111932-6203CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0069186info:eu-repo/semantics/altIdentifier/doi/10.1371/journal.pone.0069186info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T10:45:37Zoai:ri.conicet.gov.ar:11336/23785instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-29 10:45:37.843CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv The severity of Osteogenesis imperfecta and type I collagen pattern in human skin as determined by nonlinear microscopy: proof of principle of a diagnostic method
title The severity of Osteogenesis imperfecta and type I collagen pattern in human skin as determined by nonlinear microscopy: proof of principle of a diagnostic method
spellingShingle The severity of Osteogenesis imperfecta and type I collagen pattern in human skin as determined by nonlinear microscopy: proof of principle of a diagnostic method
Adur, Javier Fernando
OSTEOGENESIS IMPERFECTA
NONLINEAR MICROSCOPY
TEXTURE ANALYSIS
title_short The severity of Osteogenesis imperfecta and type I collagen pattern in human skin as determined by nonlinear microscopy: proof of principle of a diagnostic method
title_full The severity of Osteogenesis imperfecta and type I collagen pattern in human skin as determined by nonlinear microscopy: proof of principle of a diagnostic method
title_fullStr The severity of Osteogenesis imperfecta and type I collagen pattern in human skin as determined by nonlinear microscopy: proof of principle of a diagnostic method
title_full_unstemmed The severity of Osteogenesis imperfecta and type I collagen pattern in human skin as determined by nonlinear microscopy: proof of principle of a diagnostic method
title_sort The severity of Osteogenesis imperfecta and type I collagen pattern in human skin as determined by nonlinear microscopy: proof of principle of a diagnostic method
dc.creator.none.fl_str_mv Adur, Javier Fernando
D´Souza Li, Lilia
Pedroni, Marcus Vinícius
Steiner, Carlos E.
Pelagati, Vitor B.
de Thomaz, Andre A.
Carvalho, Hernandes F.
Cesar, Carlos L.
author Adur, Javier Fernando
author_facet Adur, Javier Fernando
D´Souza Li, Lilia
Pedroni, Marcus Vinícius
Steiner, Carlos E.
Pelagati, Vitor B.
de Thomaz, Andre A.
Carvalho, Hernandes F.
Cesar, Carlos L.
author_role author
author2 D´Souza Li, Lilia
Pedroni, Marcus Vinícius
Steiner, Carlos E.
Pelagati, Vitor B.
de Thomaz, Andre A.
Carvalho, Hernandes F.
Cesar, Carlos L.
author2_role author
author
author
author
author
author
author
dc.subject.none.fl_str_mv OSTEOGENESIS IMPERFECTA
NONLINEAR MICROSCOPY
TEXTURE ANALYSIS
topic OSTEOGENESIS IMPERFECTA
NONLINEAR MICROSCOPY
TEXTURE ANALYSIS
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.3
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv Background: The confirmatory diagnosis of Osteogenesis Imperfecta (OI) requires invasive, commonly bone biopsy, time consuming and destructive methods. This paper proposes an alternative method using a combination of two-photon excitation fluorescence (TPEF) and second-harmonic generation (SHG) microscopies from easily obtained human skin biopsies. We show that this method can distinguish subtypes of human OI. Methodology/Principal Findings: Different aspects of collagen microstructure of skin fresh biopsies and standard H&E-stained sections of normal and OI patients (mild and severe forms) were distinguished by TPEF and SHG images. Moreover, important differences between subtypes of OI were identified using different methods of quantification such as collagen density, ratio between collagen and elastic tissue, and gray-level co-occurrence matrix (GLCM) image-pattern analysis. Collagen density was lower in OI dermis, while the SHG/autofluorescence index of the dermis was significantly higher in OI as compared to that of the normal skin. We also showed that the energy value of GLCM texture analysis is useful to discriminate mild from severe OI and from normal skin. Conclusions/Significance: This work demonstrated that nonlinear microscopy techniques in combination with image-analysis approaches represent a powerful tool to investigate the collagen organization in skin dermis in patients with OI and has the potential to distinguish the different types of OI. The procedure outlined in this paper requires a skin biopsy, which is almost painless as compared to the bone biopsy commonly used in conventional methods. The data presented here complement existing clinical diagnostic techniques and can be used as a diagnostic procedure to confirm the disease, evaluate its severity and treatment efficacy.
Fil: Adur, Javier Fernando. Universidad Nacional de Entre Ríos. Facultad de Ingeniería; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidade Estadual de Campinas; Brasil
Fil: D´Souza Li, Lilia. Universidade Estadual de Campinas; Brasil
Fil: Pedroni, Marcus Vinícius. Universidade Estadual de Campinas; Brasil
Fil: Steiner, Carlos E.. Universidade Estadual de Campinas; Brasil
Fil: Pelagati, Vitor B.. Universidade Estadual de Campinas; Brasil
Fil: de Thomaz, Andre A.. Universidade Estadual de Campinas; Brasil
Fil: Carvalho, Hernandes F.. Universidade Estadual de Campinas; Brasil
Fil: Cesar, Carlos L.. Universidade Estadual de Campinas; Brasil
description Background: The confirmatory diagnosis of Osteogenesis Imperfecta (OI) requires invasive, commonly bone biopsy, time consuming and destructive methods. This paper proposes an alternative method using a combination of two-photon excitation fluorescence (TPEF) and second-harmonic generation (SHG) microscopies from easily obtained human skin biopsies. We show that this method can distinguish subtypes of human OI. Methodology/Principal Findings: Different aspects of collagen microstructure of skin fresh biopsies and standard H&E-stained sections of normal and OI patients (mild and severe forms) were distinguished by TPEF and SHG images. Moreover, important differences between subtypes of OI were identified using different methods of quantification such as collagen density, ratio between collagen and elastic tissue, and gray-level co-occurrence matrix (GLCM) image-pattern analysis. Collagen density was lower in OI dermis, while the SHG/autofluorescence index of the dermis was significantly higher in OI as compared to that of the normal skin. We also showed that the energy value of GLCM texture analysis is useful to discriminate mild from severe OI and from normal skin. Conclusions/Significance: This work demonstrated that nonlinear microscopy techniques in combination with image-analysis approaches represent a powerful tool to investigate the collagen organization in skin dermis in patients with OI and has the potential to distinguish the different types of OI. The procedure outlined in this paper requires a skin biopsy, which is almost painless as compared to the bone biopsy commonly used in conventional methods. The data presented here complement existing clinical diagnostic techniques and can be used as a diagnostic procedure to confirm the disease, evaluate its severity and treatment efficacy.
publishDate 2013
dc.date.none.fl_str_mv 2013-07
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/23785
Adur, Javier Fernando; D´Souza Li, Lilia; Pedroni, Marcus Vinícius; Steiner, Carlos E.; Pelagati, Vitor B.; et al.; The severity of Osteogenesis imperfecta and type I collagen pattern in human skin as determined by nonlinear microscopy: proof of principle of a diagnostic method; Public Library of Science; Plos One; 8; 7; 7-2013; 1-11
1932-6203
CONICET Digital
CONICET
url http://hdl.handle.net/11336/23785
identifier_str_mv Adur, Javier Fernando; D´Souza Li, Lilia; Pedroni, Marcus Vinícius; Steiner, Carlos E.; Pelagati, Vitor B.; et al.; The severity of Osteogenesis imperfecta and type I collagen pattern in human skin as determined by nonlinear microscopy: proof of principle of a diagnostic method; Public Library of Science; Plos One; 8; 7; 7-2013; 1-11
1932-6203
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0069186
info:eu-repo/semantics/altIdentifier/doi/10.1371/journal.pone.0069186
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Public Library of Science
publisher.none.fl_str_mv Public Library of Science
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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