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
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 fro...
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description | 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.
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.
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. |
doi_str_mv | 10.1371/journal.pone.0069186 |
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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.
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.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0069186</identifier><identifier>PMID: 23869235</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Adult ; Biocompatibility ; Biology ; Biomarkers ; Biopsy ; Child ; Collagen ; Collagen (type I) ; Collagen Type I - analysis ; Collagen Type I - metabolism ; Dermis ; Diagnosis ; Diagnostic systems ; Endocrinology ; Energy value ; Engineering ; Fluorescence ; Humans ; Identification methods ; Image processing ; Laboratories ; Lasers ; Mathematics ; Medical diagnosis ; Medical imaging ; Medical treatment ; Medicine ; Melanoma ; Methods ; Microscopy ; Microscopy, Fluorescence, Multiphoton - instrumentation ; Microscopy, Fluorescence, Multiphoton - methods ; Morphology ; Optics ; Osteogenesis ; Osteogenesis imperfecta ; Osteogenesis Imperfecta - metabolism ; Osteogenesis Imperfecta - pathology ; Ovarian cancer ; Pathology - methods ; Patients ; Pattern analysis ; Pediatrics ; Photonics ; Physics ; Skin ; Skin - pathology ; Skin cancer ; Studies ; Tomography</subject><ispartof>PloS one, 2013-07, Vol.8 (7), p.e69186-e69186</ispartof><rights>COPYRIGHT 2013 Public Library of Science</rights><rights>2013 Adur et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License: https://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2013 Adur et al 2013 Adur et al</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c758t-c24ad432fabf510b3ed819e3754bab924112544ebeb1d0331ecb3853aaf909543</citedby><cites>FETCH-LOGICAL-c758t-c24ad432fabf510b3ed819e3754bab924112544ebeb1d0331ecb3853aaf909543</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC3711916/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC3711916/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,864,885,2102,2928,23866,27924,27925,53791,53793,79600,79601</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/23869235$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Chirico, Giuseppe</contributor><creatorcontrib>Adur, Javier</creatorcontrib><creatorcontrib>DSouza-Li, Lilia</creatorcontrib><creatorcontrib>Pedroni, Marcus Vinícius</creatorcontrib><creatorcontrib>Steiner, Carlos E</creatorcontrib><creatorcontrib>Pelegati, Vitor B</creatorcontrib><creatorcontrib>de Thomaz, Andre A</creatorcontrib><creatorcontrib>Carvalho, Hernandes F</creatorcontrib><creatorcontrib>Cesar, Carlos L</creatorcontrib><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</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>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.
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.
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.</description><subject>Adult</subject><subject>Biocompatibility</subject><subject>Biology</subject><subject>Biomarkers</subject><subject>Biopsy</subject><subject>Child</subject><subject>Collagen</subject><subject>Collagen (type I)</subject><subject>Collagen Type I - analysis</subject><subject>Collagen Type I - metabolism</subject><subject>Dermis</subject><subject>Diagnosis</subject><subject>Diagnostic systems</subject><subject>Endocrinology</subject><subject>Energy value</subject><subject>Engineering</subject><subject>Fluorescence</subject><subject>Humans</subject><subject>Identification methods</subject><subject>Image processing</subject><subject>Laboratories</subject><subject>Lasers</subject><subject>Mathematics</subject><subject>Medical diagnosis</subject><subject>Medical imaging</subject><subject>Medical treatment</subject><subject>Medicine</subject><subject>Melanoma</subject><subject>Methods</subject><subject>Microscopy</subject><subject>Microscopy, Fluorescence, Multiphoton - 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Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>Directory of Open Access Journals</collection><jtitle>PloS one</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Adur, Javier</au><au>DSouza-Li, Lilia</au><au>Pedroni, Marcus Vinícius</au><au>Steiner, Carlos E</au><au>Pelegati, Vitor B</au><au>de Thomaz, Andre A</au><au>Carvalho, Hernandes F</au><au>Cesar, Carlos L</au><au>Chirico, Giuseppe</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>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</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2013-07-15</date><risdate>2013</risdate><volume>8</volume><issue>7</issue><spage>e69186</spage><epage>e69186</epage><pages>e69186-e69186</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>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.
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.
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.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>23869235</pmid><doi>10.1371/journal.pone.0069186</doi><tpages>e69186</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Adult Biocompatibility Biology Biomarkers Biopsy Child Collagen Collagen (type I) Collagen Type I - analysis Collagen Type I - metabolism Dermis Diagnosis Diagnostic systems Endocrinology Energy value Engineering Fluorescence Humans Identification methods Image processing Laboratories Lasers Mathematics Medical diagnosis Medical imaging Medical treatment Medicine Melanoma Methods Microscopy Microscopy, Fluorescence, Multiphoton - instrumentation Microscopy, Fluorescence, Multiphoton - methods Morphology Optics Osteogenesis Osteogenesis imperfecta Osteogenesis Imperfecta - metabolism Osteogenesis Imperfecta - pathology Ovarian cancer Pathology - methods Patients Pattern analysis Pediatrics Photonics Physics Skin Skin - pathology Skin cancer Studies Tomography |
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 |
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