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Profiling tear film enzymes reveals major metabolic pathways involved in the homeostasis of the ocular surface

The ocular surface (OS) enzymes are of great interest due to their potential for novel ocular drug development. We aimed first to profile and classify the enzymes of the OS to describe major biological processes and pathways that are involved in the maintenance of homeostasis. Second, we aimed to co...

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Autores principales: Akkurt Arslan, Murat, Brignole-Baudouin, Françoise, Chardonnet, Solenne, Pionneau, Cédric, Blond, Frédéric, Baudouin, Christophe, Kessal, Karima
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10502076/
https://www.ncbi.nlm.nih.gov/pubmed/37709789
http://dx.doi.org/10.1038/s41598-023-42104-2
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author Akkurt Arslan, Murat
Brignole-Baudouin, Françoise
Chardonnet, Solenne
Pionneau, Cédric
Blond, Frédéric
Baudouin, Christophe
Kessal, Karima
author_facet Akkurt Arslan, Murat
Brignole-Baudouin, Françoise
Chardonnet, Solenne
Pionneau, Cédric
Blond, Frédéric
Baudouin, Christophe
Kessal, Karima
author_sort Akkurt Arslan, Murat
collection PubMed
description The ocular surface (OS) enzymes are of great interest due to their potential for novel ocular drug development. We aimed first to profile and classify the enzymes of the OS to describe major biological processes and pathways that are involved in the maintenance of homeostasis. Second, we aimed to compare the enzymatic profiles between the two most common tear collection methods, capillary tubes (CT) and Schirmer strips (ScS). A comprehensive tear proteomic dataset was generated by pooling all enzymes identified from nine tear proteomic analyses of healthy subjects using mass spectrometry. In these studies, tear fluid was collected using CT (n = 4), ScS (n = 4) or both collection methods (n = 1). Classification and functional analysis of the enzymes was performed using a combination of bioinformatic tools. The dataset generated identified 1010 enzymes. The most representative classes were hydrolases (EC 3) and transferases (EC 2). Phosphotransferases, esterases and peptidases were the most represented subclasses. A large portion of the identified enzymes was common to both collection methods (n = 499). More enzymes were specifically detected in the ScS-extracted proteome. The major pathways in which the identified enzymes participate are related to the immune system and protein, carbohydrate and lipid metabolism. Metabolic processes for nucleosides, cellular amides, sugars and sulfur compounds constituted the most enriched biological processes. Knowledge of these molecules highly susceptible to pharmacological manipulation might help to predict the metabolism of ophthalmic medications and develop novel prodrug strategies as well as new drug delivery systems. Combining such extensive knowledge of the OS enzymes with new analytical approaches and techniques might create new prospects for understanding, predicting and manipulating the metabolism of ocular pharmaceuticals. Our study reports new, essential data on OS enzymes while also comparing the enzyme profiles obtained via the two most popular methods of tear collection, capillary tubes and Schirmer strips.
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spelling pubmed-105020762023-09-16 Profiling tear film enzymes reveals major metabolic pathways involved in the homeostasis of the ocular surface Akkurt Arslan, Murat Brignole-Baudouin, Françoise Chardonnet, Solenne Pionneau, Cédric Blond, Frédéric Baudouin, Christophe Kessal, Karima Sci Rep Article The ocular surface (OS) enzymes are of great interest due to their potential for novel ocular drug development. We aimed first to profile and classify the enzymes of the OS to describe major biological processes and pathways that are involved in the maintenance of homeostasis. Second, we aimed to compare the enzymatic profiles between the two most common tear collection methods, capillary tubes (CT) and Schirmer strips (ScS). A comprehensive tear proteomic dataset was generated by pooling all enzymes identified from nine tear proteomic analyses of healthy subjects using mass spectrometry. In these studies, tear fluid was collected using CT (n = 4), ScS (n = 4) or both collection methods (n = 1). Classification and functional analysis of the enzymes was performed using a combination of bioinformatic tools. The dataset generated identified 1010 enzymes. The most representative classes were hydrolases (EC 3) and transferases (EC 2). Phosphotransferases, esterases and peptidases were the most represented subclasses. A large portion of the identified enzymes was common to both collection methods (n = 499). More enzymes were specifically detected in the ScS-extracted proteome. The major pathways in which the identified enzymes participate are related to the immune system and protein, carbohydrate and lipid metabolism. Metabolic processes for nucleosides, cellular amides, sugars and sulfur compounds constituted the most enriched biological processes. Knowledge of these molecules highly susceptible to pharmacological manipulation might help to predict the metabolism of ophthalmic medications and develop novel prodrug strategies as well as new drug delivery systems. Combining such extensive knowledge of the OS enzymes with new analytical approaches and techniques might create new prospects for understanding, predicting and manipulating the metabolism of ocular pharmaceuticals. Our study reports new, essential data on OS enzymes while also comparing the enzyme profiles obtained via the two most popular methods of tear collection, capillary tubes and Schirmer strips. Nature Publishing Group UK 2023-09-14 /pmc/articles/PMC10502076/ /pubmed/37709789 http://dx.doi.org/10.1038/s41598-023-42104-2 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Akkurt Arslan, Murat
Brignole-Baudouin, Françoise
Chardonnet, Solenne
Pionneau, Cédric
Blond, Frédéric
Baudouin, Christophe
Kessal, Karima
Profiling tear film enzymes reveals major metabolic pathways involved in the homeostasis of the ocular surface
title Profiling tear film enzymes reveals major metabolic pathways involved in the homeostasis of the ocular surface
title_full Profiling tear film enzymes reveals major metabolic pathways involved in the homeostasis of the ocular surface
title_fullStr Profiling tear film enzymes reveals major metabolic pathways involved in the homeostasis of the ocular surface
title_full_unstemmed Profiling tear film enzymes reveals major metabolic pathways involved in the homeostasis of the ocular surface
title_short Profiling tear film enzymes reveals major metabolic pathways involved in the homeostasis of the ocular surface
title_sort profiling tear film enzymes reveals major metabolic pathways involved in the homeostasis of the ocular surface
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10502076/
https://www.ncbi.nlm.nih.gov/pubmed/37709789
http://dx.doi.org/10.1038/s41598-023-42104-2
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