Aqueous autotaxin and TGF-βs are promising diagnostic biomarkers for distinguishing open-angle glaucoma subtypes

Abstract The purpose of this study is to examine if aqueous autotaxin (ATX) and TGF-β levels could be used for differentiating glaucoma subtypes. This prospective observational study was performed using aqueous humor samples obtained from 281 consecutive patients. Open angle glaucoma patients were c...

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Autores principales:	Nozomi Igarashi, Megumi Honjo, Ryo Asaoka, Makoto Kurano, Yutaka Yatomi, Koji Igarashi, Kazunori Miyata, Toshikatsu Kaburaki, Makoto Aihara
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/e16a119e540e408f8915e1f16a700ca4
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spelling	oai:doaj.org-article:e16a119e540e408f8915e1f16a700ca42021-12-02T15:23:08ZAqueous autotaxin and TGF-βs are promising diagnostic biomarkers for distinguishing open-angle glaucoma subtypes10.1038/s41598-021-81048-32045-2322https://doaj.org/article/e16a119e540e408f8915e1f16a700ca42021-01-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-81048-3https://doaj.org/toc/2045-2322Abstract The purpose of this study is to examine if aqueous autotaxin (ATX) and TGF-β levels could be used for differentiating glaucoma subtypes. This prospective observational study was performed using aqueous humor samples obtained from 281 consecutive patients. Open angle glaucoma patients were classified into three groups: primary open-angle glaucoma (POAG), secondary open-angle glaucoma (SOAG), and exfoliation glaucoma (XFG). Aqueous levels of ATX and TGF-βs were quantified. The AUC as well as sensitivity and specificity for the classification into normal and glaucoma subtypes using four indicators-ATX, TGF-β1, TGF-β2, and TGF-β3, upon the application of three machine learning methods. ATX, TGF-β1, and TGF-β3 were positively correlated with IOP, and ATX was significantly and negatively correlated with the mean deviation. From least absolute shrinkage and selection operator regression analysis, the AUC values to distinguish each subgroup [normal, POAG, SOAG, and XFG] ranged between 0.675 (POAG vs. normal) and 0.966 (XFG vs. normal), when four variables were used. High AUC values were obtained with ATX for discriminating XFG from normal eyes and with TGF-β3 for discriminating XFG from normal eyes, POAG, or SOAG. Aqueous TGF-β and ATX exhibited high diagnostic performance in detecting glaucoma subtypes, and could be promising biomarkers for glaucoma.Nozomi IgarashiMegumi HonjoRyo AsaokaMakoto KuranoYutaka YatomiKoji IgarashiKazunori MiyataToshikatsu KaburakiMakoto AiharaNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-9 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Nozomi Igarashi Megumi Honjo Ryo Asaoka Makoto Kurano Yutaka Yatomi Koji Igarashi Kazunori Miyata Toshikatsu Kaburaki Makoto Aihara Aqueous autotaxin and TGF-βs are promising diagnostic biomarkers for distinguishing open-angle glaucoma subtypes
description	Abstract The purpose of this study is to examine if aqueous autotaxin (ATX) and TGF-β levels could be used for differentiating glaucoma subtypes. This prospective observational study was performed using aqueous humor samples obtained from 281 consecutive patients. Open angle glaucoma patients were classified into three groups: primary open-angle glaucoma (POAG), secondary open-angle glaucoma (SOAG), and exfoliation glaucoma (XFG). Aqueous levels of ATX and TGF-βs were quantified. The AUC as well as sensitivity and specificity for the classification into normal and glaucoma subtypes using four indicators-ATX, TGF-β1, TGF-β2, and TGF-β3, upon the application of three machine learning methods. ATX, TGF-β1, and TGF-β3 were positively correlated with IOP, and ATX was significantly and negatively correlated with the mean deviation. From least absolute shrinkage and selection operator regression analysis, the AUC values to distinguish each subgroup [normal, POAG, SOAG, and XFG] ranged between 0.675 (POAG vs. normal) and 0.966 (XFG vs. normal), when four variables were used. High AUC values were obtained with ATX for discriminating XFG from normal eyes and with TGF-β3 for discriminating XFG from normal eyes, POAG, or SOAG. Aqueous TGF-β and ATX exhibited high diagnostic performance in detecting glaucoma subtypes, and could be promising biomarkers for glaucoma.
format	article
author	Nozomi Igarashi Megumi Honjo Ryo Asaoka Makoto Kurano Yutaka Yatomi Koji Igarashi Kazunori Miyata Toshikatsu Kaburaki Makoto Aihara
author_facet	Nozomi Igarashi Megumi Honjo Ryo Asaoka Makoto Kurano Yutaka Yatomi Koji Igarashi Kazunori Miyata Toshikatsu Kaburaki Makoto Aihara
author_sort	Nozomi Igarashi
title	Aqueous autotaxin and TGF-βs are promising diagnostic biomarkers for distinguishing open-angle glaucoma subtypes
title_short	Aqueous autotaxin and TGF-βs are promising diagnostic biomarkers for distinguishing open-angle glaucoma subtypes
title_full	Aqueous autotaxin and TGF-βs are promising diagnostic biomarkers for distinguishing open-angle glaucoma subtypes
title_fullStr	Aqueous autotaxin and TGF-βs are promising diagnostic biomarkers for distinguishing open-angle glaucoma subtypes
title_full_unstemmed	Aqueous autotaxin and TGF-βs are promising diagnostic biomarkers for distinguishing open-angle glaucoma subtypes
title_sort	aqueous autotaxin and tgf-βs are promising diagnostic biomarkers for distinguishing open-angle glaucoma subtypes
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/e16a119e540e408f8915e1f16a700ca4
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Aqueous autotaxin and TGF-βs are promising diagnostic biomarkers for distinguishing open-angle glaucoma subtypes

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