Application of sebomics for the analysis of residual skin surface components to detect potential biomarkers of type-1 diabetes mellitus

Abstract Metabolic imbalance in chronic diseases such as type-1 diabetes may lead to detectable perturbations in the molecular composition of residual skin surface components (RSSC). This study compared the accumulation rate and the composition of RSSC in type-1 diabetic patients with those in match...

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Autores principales:	Satyajit S. Shetage, Matthew J. Traynor, Marc B. Brown, Thomas M. Galliford, Robert P. Chilcott
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2017
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/5f9ac5200aa147dbbc77e0e0813a81da
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spelling	oai:doaj.org-article:5f9ac5200aa147dbbc77e0e0813a81da2021-12-02T15:05:10ZApplication of sebomics for the analysis of residual skin surface components to detect potential biomarkers of type-1 diabetes mellitus10.1038/s41598-017-09014-62045-2322https://doaj.org/article/5f9ac5200aa147dbbc77e0e0813a81da2017-08-01T00:00:00Zhttps://doi.org/10.1038/s41598-017-09014-6https://doaj.org/toc/2045-2322Abstract Metabolic imbalance in chronic diseases such as type-1 diabetes may lead to detectable perturbations in the molecular composition of residual skin surface components (RSSC). This study compared the accumulation rate and the composition of RSSC in type-1 diabetic patients with those in matched controls in order to identify potential biomarkers of the disease. Samples of RSSC were collected from the foreheads of type-1 diabetic (n = 55) and non-diabetic (n = 58) volunteers. Samples were subsequently analysed to identify individual components (sebomic analysis). There was no significant difference in the rate of accumulation of RSSC between type-1 diabetics and controls. In terms of molecular composition, 171 RSSC components were common to both groups, 27 were more common in non-diabetics and 18 were more common in type-1 diabetic patients. Statistically significant (P < 0.05) differences between diabetic and non-diabetic volunteers were observed in the recovered amounts of one diacylglyceride (m/z 594), six triacylglycerides (m/z 726–860) and six free fatty acids (m/z 271–345). These findings indicate that sebomic analysis can identify differences in the molecular composition of RSSC components between type-1 diabetic and non-diabetic individuals. Further work is required to determine the practical utility and identity of these potential biomarkers.Satyajit S. ShetageMatthew J. TraynorMarc B. BrownThomas M. GallifordRobert P. ChilcottNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 7, Iss 1, Pp 1-8 (2017)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Satyajit S. Shetage Matthew J. Traynor Marc B. Brown Thomas M. Galliford Robert P. Chilcott Application of sebomics for the analysis of residual skin surface components to detect potential biomarkers of type-1 diabetes mellitus
description	Abstract Metabolic imbalance in chronic diseases such as type-1 diabetes may lead to detectable perturbations in the molecular composition of residual skin surface components (RSSC). This study compared the accumulation rate and the composition of RSSC in type-1 diabetic patients with those in matched controls in order to identify potential biomarkers of the disease. Samples of RSSC were collected from the foreheads of type-1 diabetic (n = 55) and non-diabetic (n = 58) volunteers. Samples were subsequently analysed to identify individual components (sebomic analysis). There was no significant difference in the rate of accumulation of RSSC between type-1 diabetics and controls. In terms of molecular composition, 171 RSSC components were common to both groups, 27 were more common in non-diabetics and 18 were more common in type-1 diabetic patients. Statistically significant (P < 0.05) differences between diabetic and non-diabetic volunteers were observed in the recovered amounts of one diacylglyceride (m/z 594), six triacylglycerides (m/z 726–860) and six free fatty acids (m/z 271–345). These findings indicate that sebomic analysis can identify differences in the molecular composition of RSSC components between type-1 diabetic and non-diabetic individuals. Further work is required to determine the practical utility and identity of these potential biomarkers.
format	article
author	Satyajit S. Shetage Matthew J. Traynor Marc B. Brown Thomas M. Galliford Robert P. Chilcott
author_facet	Satyajit S. Shetage Matthew J. Traynor Marc B. Brown Thomas M. Galliford Robert P. Chilcott
author_sort	Satyajit S. Shetage
title	Application of sebomics for the analysis of residual skin surface components to detect potential biomarkers of type-1 diabetes mellitus
title_short	Application of sebomics for the analysis of residual skin surface components to detect potential biomarkers of type-1 diabetes mellitus
title_full	Application of sebomics for the analysis of residual skin surface components to detect potential biomarkers of type-1 diabetes mellitus
title_fullStr	Application of sebomics for the analysis of residual skin surface components to detect potential biomarkers of type-1 diabetes mellitus
title_full_unstemmed	Application of sebomics for the analysis of residual skin surface components to detect potential biomarkers of type-1 diabetes mellitus
title_sort	application of sebomics for the analysis of residual skin surface components to detect potential biomarkers of type-1 diabetes mellitus
publisher	Nature Portfolio
publishDate	2017
url	https://doaj.org/article/5f9ac5200aa147dbbc77e0e0813a81da
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Application of sebomics for the analysis of residual skin surface components to detect potential biomarkers of type-1 diabetes mellitus

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