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Metabolomics in Glaucoma: A Systematic Review

PURPOSE: Glaucoma remains a poorly understood disease, and identifying biomarkers for early diagnosis is critical to reducing the risk of glaucoma-related visual impairment and blindness. The aim of this review is to provide current metabolic profiles for glaucoma through a summary and analysis of r...

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Autores principales: Wang, Ying, Hou, Xiao-Wen, Liang, Gang, Pan, Chen-Wei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Association for Research in Vision and Ophthalmology 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8107647/
https://www.ncbi.nlm.nih.gov/pubmed/33956051
http://dx.doi.org/10.1167/iovs.62.6.9
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author Wang, Ying
Hou, Xiao-Wen
Liang, Gang
Pan, Chen-Wei
author_facet Wang, Ying
Hou, Xiao-Wen
Liang, Gang
Pan, Chen-Wei
author_sort Wang, Ying
collection PubMed
description PURPOSE: Glaucoma remains a poorly understood disease, and identifying biomarkers for early diagnosis is critical to reducing the risk of glaucoma-related visual impairment and blindness. The aim of this review is to provide current metabolic profiles for glaucoma through a summary and analysis of reported metabolites associated with glaucoma. METHODS: We searched PubMed and Web of Science for metabolomics studies of humans on glaucoma published before November 11, 2020. Studies were included if they assessed the biomarkers of any types of glaucoma and performed mass spectrometry-based or nuclear magnetic resonance–based metabolomics approach. Pathway enrichment analysis and topology analysis were performed to generate a global view of metabolic signatures related to glaucoma using the MetaboAnalyst 3.0. RESULTS: In total, 18 articles were included in this review, among which 13 studies were focused on open-angle glaucoma (OAG). Seventeen metabolites related to OAG were repeatedly identified, including seven amino acids (arginine, glycine, alanine, lysine, methionine, phenylalanine, tyrosine), two phosphatidylcholine (PC aa C34:2, PC aa C36:4), three complements (acetylcarnitine, propionylcarnitine, butyrylcarnitine), carnitine, glutamine, hypoxanthine, spermine, and spermidine. The pathway analysis implied a major role of amino metabolism in OAG pathophysiology and revealed the metabolic characteristics between different biological samples. CONCLUSIONS: In this review, we summarize existing metabolomic studies related to glaucoma biomarker identification and point out a series of metabolic disorders in OAG patients, providing information on the molecular mechanism changes in glaucoma. Additional studies are needed to validate existing findings, and future research will need to explore the potential overlap between different biological fluids.
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spelling pubmed-81076472021-05-17 Metabolomics in Glaucoma: A Systematic Review Wang, Ying Hou, Xiao-Wen Liang, Gang Pan, Chen-Wei Invest Ophthalmol Vis Sci Review PURPOSE: Glaucoma remains a poorly understood disease, and identifying biomarkers for early diagnosis is critical to reducing the risk of glaucoma-related visual impairment and blindness. The aim of this review is to provide current metabolic profiles for glaucoma through a summary and analysis of reported metabolites associated with glaucoma. METHODS: We searched PubMed and Web of Science for metabolomics studies of humans on glaucoma published before November 11, 2020. Studies were included if they assessed the biomarkers of any types of glaucoma and performed mass spectrometry-based or nuclear magnetic resonance–based metabolomics approach. Pathway enrichment analysis and topology analysis were performed to generate a global view of metabolic signatures related to glaucoma using the MetaboAnalyst 3.0. RESULTS: In total, 18 articles were included in this review, among which 13 studies were focused on open-angle glaucoma (OAG). Seventeen metabolites related to OAG were repeatedly identified, including seven amino acids (arginine, glycine, alanine, lysine, methionine, phenylalanine, tyrosine), two phosphatidylcholine (PC aa C34:2, PC aa C36:4), three complements (acetylcarnitine, propionylcarnitine, butyrylcarnitine), carnitine, glutamine, hypoxanthine, spermine, and spermidine. The pathway analysis implied a major role of amino metabolism in OAG pathophysiology and revealed the metabolic characteristics between different biological samples. CONCLUSIONS: In this review, we summarize existing metabolomic studies related to glaucoma biomarker identification and point out a series of metabolic disorders in OAG patients, providing information on the molecular mechanism changes in glaucoma. Additional studies are needed to validate existing findings, and future research will need to explore the potential overlap between different biological fluids. The Association for Research in Vision and Ophthalmology 2021-05-06 /pmc/articles/PMC8107647/ /pubmed/33956051 http://dx.doi.org/10.1167/iovs.62.6.9 Text en Copyright 2021 The Authors https://creativecommons.org/licenses/by-nc-nd/4.0/This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
spellingShingle Review
Wang, Ying
Hou, Xiao-Wen
Liang, Gang
Pan, Chen-Wei
Metabolomics in Glaucoma: A Systematic Review
title Metabolomics in Glaucoma: A Systematic Review
title_full Metabolomics in Glaucoma: A Systematic Review
title_fullStr Metabolomics in Glaucoma: A Systematic Review
title_full_unstemmed Metabolomics in Glaucoma: A Systematic Review
title_short Metabolomics in Glaucoma: A Systematic Review
title_sort metabolomics in glaucoma: a systematic review
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8107647/
https://www.ncbi.nlm.nih.gov/pubmed/33956051
http://dx.doi.org/10.1167/iovs.62.6.9
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