Tear metabolomics for the diagnosis of primary open-angle glaucoma

Primary Open-Angle Glaucoma (POAG) is the most prevalent glaucoma type, and the leading cause of irreversible visual impairment and blindness worldwide. Identification of early POAG biomarkers is of enormous value, as there is not an effective treatment for the glaucomatous optic nerve degeneration...

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Autores: Botello-Marabotto, M, Martinez-Bisbal, MC, Piazo-Duran, MD, Martinez-Manez, R
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2024
País:España
Institución:Centro de Investigación Principe Felipe (CIPF)
Repositorio:r-CIPF. Repositorio Institucional Producción Científica del Centro de Investigación Principe Felipe (CIPF)
OAI Identifier:oai:cipf.fundanetsuite.com:p4356
Acceso en línea:https://cipf.fundanetsuite.com/Publicaciones/ProdCientif/PublicacionFrw.aspx?id=4356
Access Level:acceso abierto
Palabra clave:Primary open angle glaucoma
Metabolomics
1 H NMR spectroscopy
Biomarkers
Diagnosis
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spelling Tear metabolomics for the diagnosis of primary open-angle glaucomaBotello-Marabotto, MMartinez-Bisbal, MCPiazo-Duran, MDMartinez-Manez, RPrimary open angle glaucomaMetabolomics1 H NMR spectroscopyBiomarkersDiagnosisPrimary Open-Angle Glaucoma (POAG) is the most prevalent glaucoma type, and the leading cause of irreversible visual impairment and blindness worldwide. Identification of early POAG biomarkers is of enormous value, as there is not an effective treatment for the glaucomatous optic nerve degeneration (OND). In this pilot study, a metabolomic analysis, by using proton (1H) nuclear magnetic resonance (NMR) spectroscopy was conducted in tears, in order to determine the changes of specific metabolites in the initial glaucoma eyes and to discover potential diagnostic biomarkers. A classification model, based on the metabolomic fingerprint in tears was generated as a non-invasive tool to support the preclinical and clinical POAG diagnosis. 1H NMR spectra were acquired from 30 tear samples corresponding to the POAG group (n = 11) and the control group (n = 19). Data were analysed by multivariate statistics (partial least squares-discriminant analysis: PLS-DA) to determine a model capable of differentiating between groups. The whole data set was split into calibration (65%)/validation (35%), to test the performance and the ability for glaucoma discrimination. The calculated PLS-DA model showed an area under the curve (AUC) of 1, as well as a sensitivity of 100% and a specificity of 83.3% to distinguish POAG group versus control group tear data. This model included 11 metabolites, potential biomarkers of the disease. When comparing the study groups, a decrease in the tear concentration of phenylalanine, phenylacetate, leucine, n-acetylated compounds, formic acid, and uridine, was found in the POAG group. Moreover, an increase in the tear concentration of taurine, glycine, urea, glucose, and unsaturated fatty acids was observed in the POAG group. These results highlight the potential of tear metabolomics by 1H NMR spectroscopy as a non-invasive approach to support early POAG diagnosis and in order to prevent visual loss.ELSEVIER2024info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttps://cipf.fundanetsuite.com/Publicaciones/ProdCientif/PublicacionFrw.aspx?id=4356TALANTAISSN: 00399140ISSNe: 18733573reponame:r-CIPF. Repositorio Institucional Producción Científica del Centro de Investigación Principe Felipe (CIPF)instname:Centro de Investigación Principe Felipe (CIPF)Inglésinfo:eu-repo/semantics/openAccessoai:cipf.fundanetsuite.com:p43562026-06-17T11:19:47Z
dc.title.none.fl_str_mv Tear metabolomics for the diagnosis of primary open-angle glaucoma
title Tear metabolomics for the diagnosis of primary open-angle glaucoma
spellingShingle Tear metabolomics for the diagnosis of primary open-angle glaucoma
Botello-Marabotto, M
Primary open angle glaucoma
Metabolomics
1 H NMR spectroscopy
Biomarkers
Diagnosis
title_short Tear metabolomics for the diagnosis of primary open-angle glaucoma
title_full Tear metabolomics for the diagnosis of primary open-angle glaucoma
title_fullStr Tear metabolomics for the diagnosis of primary open-angle glaucoma
title_full_unstemmed Tear metabolomics for the diagnosis of primary open-angle glaucoma
title_sort Tear metabolomics for the diagnosis of primary open-angle glaucoma
dc.creator.none.fl_str_mv Botello-Marabotto, M
Martinez-Bisbal, MC
Piazo-Duran, MD
Martinez-Manez, R
author Botello-Marabotto, M
author_facet Botello-Marabotto, M
Martinez-Bisbal, MC
Piazo-Duran, MD
Martinez-Manez, R
author_role author
author2 Martinez-Bisbal, MC
Piazo-Duran, MD
Martinez-Manez, R
author2_role author
author
author
dc.subject.none.fl_str_mv Primary open angle glaucoma
Metabolomics
1 H NMR spectroscopy
Biomarkers
Diagnosis
topic Primary open angle glaucoma
Metabolomics
1 H NMR spectroscopy
Biomarkers
Diagnosis
description Primary Open-Angle Glaucoma (POAG) is the most prevalent glaucoma type, and the leading cause of irreversible visual impairment and blindness worldwide. Identification of early POAG biomarkers is of enormous value, as there is not an effective treatment for the glaucomatous optic nerve degeneration (OND). In this pilot study, a metabolomic analysis, by using proton (1H) nuclear magnetic resonance (NMR) spectroscopy was conducted in tears, in order to determine the changes of specific metabolites in the initial glaucoma eyes and to discover potential diagnostic biomarkers. A classification model, based on the metabolomic fingerprint in tears was generated as a non-invasive tool to support the preclinical and clinical POAG diagnosis. 1H NMR spectra were acquired from 30 tear samples corresponding to the POAG group (n = 11) and the control group (n = 19). Data were analysed by multivariate statistics (partial least squares-discriminant analysis: PLS-DA) to determine a model capable of differentiating between groups. The whole data set was split into calibration (65%)/validation (35%), to test the performance and the ability for glaucoma discrimination. The calculated PLS-DA model showed an area under the curve (AUC) of 1, as well as a sensitivity of 100% and a specificity of 83.3% to distinguish POAG group versus control group tear data. This model included 11 metabolites, potential biomarkers of the disease. When comparing the study groups, a decrease in the tear concentration of phenylalanine, phenylacetate, leucine, n-acetylated compounds, formic acid, and uridine, was found in the POAG group. Moreover, an increase in the tear concentration of taurine, glycine, urea, glucose, and unsaturated fatty acids was observed in the POAG group. These results highlight the potential of tear metabolomics by 1H NMR spectroscopy as a non-invasive approach to support early POAG diagnosis and in order to prevent visual loss.
publishDate 2024
dc.date.none.fl_str_mv 2024
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dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
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eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv ELSEVIER
publisher.none.fl_str_mv ELSEVIER
dc.source.none.fl_str_mv TALANTA
ISSN: 00399140
ISSNe: 18733573
reponame:r-CIPF. Repositorio Institucional Producción Científica del Centro de Investigación Principe Felipe (CIPF)
instname:Centro de Investigación Principe Felipe (CIPF)
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