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Metabolomic profiling of a neurodegenerative retina following optic nerve transection

The degeneration of retinal ganglion cells (RGCs) often causes irreversible vision impairment. Prevention of RGC degeneration can prevent or delay the deterioration of visual function. The present study aimed to investigate retinal metabolic profiles following optic nerve transection (ONT) injury an...

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Autores principales: Zhu, Jun-Ya, Ni, Xi-Sen, Han, Xiao-Yan, Liu, Sha, Ji, Yu-Ke, Yao, Jin, Yan, Biao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: D.A. Spandidos 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10433715/
https://www.ncbi.nlm.nih.gov/pubmed/37539744
http://dx.doi.org/10.3892/mmr.2023.13065
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author Zhu, Jun-Ya
Ni, Xi-Sen
Han, Xiao-Yan
Liu, Sha
Ji, Yu-Ke
Yao, Jin
Yan, Biao
author_facet Zhu, Jun-Ya
Ni, Xi-Sen
Han, Xiao-Yan
Liu, Sha
Ji, Yu-Ke
Yao, Jin
Yan, Biao
author_sort Zhu, Jun-Ya
collection PubMed
description The degeneration of retinal ganglion cells (RGCs) often causes irreversible vision impairment. Prevention of RGC degeneration can prevent or delay the deterioration of visual function. The present study aimed to investigate retinal metabolic profiles following optic nerve transection (ONT) injury and identify the potential metabolic targets for the prevention of RGC degeneration. Retinal samples were dissected from ONT group and non-ONT group. The untargeted metabolomics were carried out using liquid chromatography-tandem mass spectrometry. The involved pathways and biomarkers were analyzed using Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis and MetaboAnalyst 5.0. In the ONT group, 689 disparate metabolites were detected, including lipids and lipid-like molecules. A total of 122 metabolites were successfully annotated and enriched in 50 KEGG pathways. Among them, ‘sphingolipid metabolism’ and ‘primary bile acid biosynthesis’ were identified involved in RGC degeneration. A total of five metabolites were selected as the candidate biomarkers for detecting RGC degeneration with an AUC value of 1. The present study revealed that lipid-related metabolism was involved in the pathogenesis of retinal neurodegeneration. Taurine, taurochenodesoxycholic acid, taurocholic acid (TCA), sphingosine, and galabiosylceramide are shown as the promising biomarkers for the diagnosis of RGC degeneration.
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spelling pubmed-104337152023-08-18 Metabolomic profiling of a neurodegenerative retina following optic nerve transection Zhu, Jun-Ya Ni, Xi-Sen Han, Xiao-Yan Liu, Sha Ji, Yu-Ke Yao, Jin Yan, Biao Mol Med Rep Articles The degeneration of retinal ganglion cells (RGCs) often causes irreversible vision impairment. Prevention of RGC degeneration can prevent or delay the deterioration of visual function. The present study aimed to investigate retinal metabolic profiles following optic nerve transection (ONT) injury and identify the potential metabolic targets for the prevention of RGC degeneration. Retinal samples were dissected from ONT group and non-ONT group. The untargeted metabolomics were carried out using liquid chromatography-tandem mass spectrometry. The involved pathways and biomarkers were analyzed using Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis and MetaboAnalyst 5.0. In the ONT group, 689 disparate metabolites were detected, including lipids and lipid-like molecules. A total of 122 metabolites were successfully annotated and enriched in 50 KEGG pathways. Among them, ‘sphingolipid metabolism’ and ‘primary bile acid biosynthesis’ were identified involved in RGC degeneration. A total of five metabolites were selected as the candidate biomarkers for detecting RGC degeneration with an AUC value of 1. The present study revealed that lipid-related metabolism was involved in the pathogenesis of retinal neurodegeneration. Taurine, taurochenodesoxycholic acid, taurocholic acid (TCA), sphingosine, and galabiosylceramide are shown as the promising biomarkers for the diagnosis of RGC degeneration. D.A. Spandidos 2023-08-03 /pmc/articles/PMC10433715/ /pubmed/37539744 http://dx.doi.org/10.3892/mmr.2023.13065 Text en Copyright: © Zhu et al. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License (https://creativecommons.org/licenses/by-nc-nd/4.0/) , which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made.
spellingShingle Articles
Zhu, Jun-Ya
Ni, Xi-Sen
Han, Xiao-Yan
Liu, Sha
Ji, Yu-Ke
Yao, Jin
Yan, Biao
Metabolomic profiling of a neurodegenerative retina following optic nerve transection
title Metabolomic profiling of a neurodegenerative retina following optic nerve transection
title_full Metabolomic profiling of a neurodegenerative retina following optic nerve transection
title_fullStr Metabolomic profiling of a neurodegenerative retina following optic nerve transection
title_full_unstemmed Metabolomic profiling of a neurodegenerative retina following optic nerve transection
title_short Metabolomic profiling of a neurodegenerative retina following optic nerve transection
title_sort metabolomic profiling of a neurodegenerative retina following optic nerve transection
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10433715/
https://www.ncbi.nlm.nih.gov/pubmed/37539744
http://dx.doi.org/10.3892/mmr.2023.13065
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