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Plasma Metabolomics of Intermediate and Neovascular Age-Related Macular Degeneration Patients
To characterize metabolites and metabolic pathways altered in intermediate and neovascular age-related macular degeneration (IAMD and NVAMD), high resolution untargeted metabolomics was performed via liquid chromatography-mass spectrometry on plasma samples obtained from 91 IAMD patients, 100 NVAMD...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8624113/ https://www.ncbi.nlm.nih.gov/pubmed/34831363 http://dx.doi.org/10.3390/cells10113141 |
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author | Mitchell, Sabrina L. Ma, Chunyu Scott, William K. Agarwal, Anita Pericak-Vance, Margaret A. Haines, Jonathan L. Jones, Dean P. Uppal, Karan Brantley, Milam A. |
author_facet | Mitchell, Sabrina L. Ma, Chunyu Scott, William K. Agarwal, Anita Pericak-Vance, Margaret A. Haines, Jonathan L. Jones, Dean P. Uppal, Karan Brantley, Milam A. |
author_sort | Mitchell, Sabrina L. |
collection | PubMed |
description | To characterize metabolites and metabolic pathways altered in intermediate and neovascular age-related macular degeneration (IAMD and NVAMD), high resolution untargeted metabolomics was performed via liquid chromatography-mass spectrometry on plasma samples obtained from 91 IAMD patients, 100 NVAMD patients, and 195 controls. Plasma metabolite levels were compared between: AMD patients and controls, IAMD patients and controls, and NVAMD and IAMD patients. Partial least-squares discriminant analysis and linear regression were used to identify discriminatory metabolites. Pathway analysis was performed to determine metabolic pathways altered in AMD. Among the comparisons, we identified 435 unique discriminatory metabolic features. Using computational methods and tandem mass spectrometry, we identified 11 metabolic features whose molecular identities had been previously verified and confirmed the molecular identities of three additional discriminatory features. Included among the discriminatory metabolites were acylcarnitines, phospholipids, amino acids, and steroid metabolites. Pathway analysis revealed that lipid, amino acid, and vitamin metabolism pathways were altered in NVAMD, IAMD, or AMD in general, including the carnitine shuttle pathway which was significantly altered in all comparisons. Finally, few discriminatory features were identified between IAMD patients and controls, suggesting that plasma metabolic profiles of IAMD patients are more similar to controls than to NVAMD patients. |
format | Online Article Text |
id | pubmed-8624113 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-86241132021-11-27 Plasma Metabolomics of Intermediate and Neovascular Age-Related Macular Degeneration Patients Mitchell, Sabrina L. Ma, Chunyu Scott, William K. Agarwal, Anita Pericak-Vance, Margaret A. Haines, Jonathan L. Jones, Dean P. Uppal, Karan Brantley, Milam A. Cells Article To characterize metabolites and metabolic pathways altered in intermediate and neovascular age-related macular degeneration (IAMD and NVAMD), high resolution untargeted metabolomics was performed via liquid chromatography-mass spectrometry on plasma samples obtained from 91 IAMD patients, 100 NVAMD patients, and 195 controls. Plasma metabolite levels were compared between: AMD patients and controls, IAMD patients and controls, and NVAMD and IAMD patients. Partial least-squares discriminant analysis and linear regression were used to identify discriminatory metabolites. Pathway analysis was performed to determine metabolic pathways altered in AMD. Among the comparisons, we identified 435 unique discriminatory metabolic features. Using computational methods and tandem mass spectrometry, we identified 11 metabolic features whose molecular identities had been previously verified and confirmed the molecular identities of three additional discriminatory features. Included among the discriminatory metabolites were acylcarnitines, phospholipids, amino acids, and steroid metabolites. Pathway analysis revealed that lipid, amino acid, and vitamin metabolism pathways were altered in NVAMD, IAMD, or AMD in general, including the carnitine shuttle pathway which was significantly altered in all comparisons. Finally, few discriminatory features were identified between IAMD patients and controls, suggesting that plasma metabolic profiles of IAMD patients are more similar to controls than to NVAMD patients. MDPI 2021-11-12 /pmc/articles/PMC8624113/ /pubmed/34831363 http://dx.doi.org/10.3390/cells10113141 Text en © 2021 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 Mitchell, Sabrina L. Ma, Chunyu Scott, William K. Agarwal, Anita Pericak-Vance, Margaret A. Haines, Jonathan L. Jones, Dean P. Uppal, Karan Brantley, Milam A. Plasma Metabolomics of Intermediate and Neovascular Age-Related Macular Degeneration Patients |
title | Plasma Metabolomics of Intermediate and Neovascular Age-Related Macular Degeneration Patients |
title_full | Plasma Metabolomics of Intermediate and Neovascular Age-Related Macular Degeneration Patients |
title_fullStr | Plasma Metabolomics of Intermediate and Neovascular Age-Related Macular Degeneration Patients |
title_full_unstemmed | Plasma Metabolomics of Intermediate and Neovascular Age-Related Macular Degeneration Patients |
title_short | Plasma Metabolomics of Intermediate and Neovascular Age-Related Macular Degeneration Patients |
title_sort | plasma metabolomics of intermediate and neovascular age-related macular degeneration patients |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8624113/ https://www.ncbi.nlm.nih.gov/pubmed/34831363 http://dx.doi.org/10.3390/cells10113141 |
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