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Metabolomic Profiling of Aqueous Humor from Pathological Myopia Patients with Choroidal Neovascularization

Choroidal neovascularization (CNV) is a severe complication observed in individuals with pathological myopia (PM). Our hypothesis is that specific metabolic alterations occur during the development of CNV in patients with PM. To investigate this, an untargeted metabolomics analysis was conducted usi...

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Autores principales: Wei, Qiaoling, Yu, Zhiqiang, Zhou, Xianjin, Gong, Ruowen, Jiang, Rui, Xu, Gezhi, Liu, Wei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10456621/
https://www.ncbi.nlm.nih.gov/pubmed/37623844
http://dx.doi.org/10.3390/metabo13080900
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author Wei, Qiaoling
Yu, Zhiqiang
Zhou, Xianjin
Gong, Ruowen
Jiang, Rui
Xu, Gezhi
Liu, Wei
author_facet Wei, Qiaoling
Yu, Zhiqiang
Zhou, Xianjin
Gong, Ruowen
Jiang, Rui
Xu, Gezhi
Liu, Wei
author_sort Wei, Qiaoling
collection PubMed
description Choroidal neovascularization (CNV) is a severe complication observed in individuals with pathological myopia (PM). Our hypothesis is that specific metabolic alterations occur during the development of CNV in patients with PM. To investigate this, an untargeted metabolomics analysis was conducted using gas chromatography–mass spectrometry (GC–MS) and liquid chromatography–mass spectrometry (LC–MS) on aqueous humor (AH) samples obtained from meticulously matched PM patients, including those with CNV (n = 11) and without CNV (n = 11). The analysis aimed to identify differentially expressed metabolites between the two groups. Furthermore, the discriminative ability of each metabolite was evaluated using the area under the receiver operating characteristic curve (AUC). Enriched metabolic pathways were determined using the KEGG and MetaboAnalyst databases. Our results revealed the detection of 272 metabolites using GC–MS and 1457 metabolites using LC–MS in AH samples. Among them, 97 metabolites exhibited significant differential expression between the CNV and non-CNV groups. Noteworthy candidates, including D-citramalic acid, biphenyl, and isoleucylproline, demonstrated high AUC values ranging from 0.801 to 1, indicating their potential as disease biomarkers. Additionally, all three metabolites showed a strong association with retinal cystoid edema in CNV patients. Furthermore, the study identified 12 altered metabolic pathways, with five of them related to carbohydrate metabolism, suggesting their involvement in the occurrence of myopic CNV. These findings provide possible disease-specific biomarkers of CNV in PM and suggest the role of disturbed carbohydrate metabolism in its pathogenesis. Larger studies are needed to validate these findings.
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spelling pubmed-104566212023-08-26 Metabolomic Profiling of Aqueous Humor from Pathological Myopia Patients with Choroidal Neovascularization Wei, Qiaoling Yu, Zhiqiang Zhou, Xianjin Gong, Ruowen Jiang, Rui Xu, Gezhi Liu, Wei Metabolites Article Choroidal neovascularization (CNV) is a severe complication observed in individuals with pathological myopia (PM). Our hypothesis is that specific metabolic alterations occur during the development of CNV in patients with PM. To investigate this, an untargeted metabolomics analysis was conducted using gas chromatography–mass spectrometry (GC–MS) and liquid chromatography–mass spectrometry (LC–MS) on aqueous humor (AH) samples obtained from meticulously matched PM patients, including those with CNV (n = 11) and without CNV (n = 11). The analysis aimed to identify differentially expressed metabolites between the two groups. Furthermore, the discriminative ability of each metabolite was evaluated using the area under the receiver operating characteristic curve (AUC). Enriched metabolic pathways were determined using the KEGG and MetaboAnalyst databases. Our results revealed the detection of 272 metabolites using GC–MS and 1457 metabolites using LC–MS in AH samples. Among them, 97 metabolites exhibited significant differential expression between the CNV and non-CNV groups. Noteworthy candidates, including D-citramalic acid, biphenyl, and isoleucylproline, demonstrated high AUC values ranging from 0.801 to 1, indicating their potential as disease biomarkers. Additionally, all three metabolites showed a strong association with retinal cystoid edema in CNV patients. Furthermore, the study identified 12 altered metabolic pathways, with five of them related to carbohydrate metabolism, suggesting their involvement in the occurrence of myopic CNV. These findings provide possible disease-specific biomarkers of CNV in PM and suggest the role of disturbed carbohydrate metabolism in its pathogenesis. Larger studies are needed to validate these findings. MDPI 2023-07-30 /pmc/articles/PMC10456621/ /pubmed/37623844 http://dx.doi.org/10.3390/metabo13080900 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Wei, Qiaoling
Yu, Zhiqiang
Zhou, Xianjin
Gong, Ruowen
Jiang, Rui
Xu, Gezhi
Liu, Wei
Metabolomic Profiling of Aqueous Humor from Pathological Myopia Patients with Choroidal Neovascularization
title Metabolomic Profiling of Aqueous Humor from Pathological Myopia Patients with Choroidal Neovascularization
title_full Metabolomic Profiling of Aqueous Humor from Pathological Myopia Patients with Choroidal Neovascularization
title_fullStr Metabolomic Profiling of Aqueous Humor from Pathological Myopia Patients with Choroidal Neovascularization
title_full_unstemmed Metabolomic Profiling of Aqueous Humor from Pathological Myopia Patients with Choroidal Neovascularization
title_short Metabolomic Profiling of Aqueous Humor from Pathological Myopia Patients with Choroidal Neovascularization
title_sort metabolomic profiling of aqueous humor from pathological myopia patients with choroidal neovascularization
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10456621/
https://www.ncbi.nlm.nih.gov/pubmed/37623844
http://dx.doi.org/10.3390/metabo13080900
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