Urinary Mass Spectrometry Profiles in Age-Related Macular Degeneration
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Publication Date: | 2022 |
Other Authors: | , , , , , , , , , , , , |
Format: | Article |
Language: | eng |
Source: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Download full: | http://hdl.handle.net/10316/103337 https://doi.org/10.3390/jcm11040940 |
Summary: | We and others have shown that patients with different severity stages of age-related macular degeneration (AMD) have distinct plasma metabolomic profiles compared to controls. Urine is a biofluid that can be obtained non-invasively and, in other fields, urine metabolomics has been proposed as a feasible alternative to plasma biomarkers. However, no studies have applied urinary mass spectrometry (MS) metabolomics to AMD. This study aimed to assess urinary metabolomic profiles of patients with different stages of AMD and a control group. We included two prospectively designed, multicenter, cross-sectional study cohorts: Boston, US (n = 185) and Coimbra, Portugal (n = 299). We collected fasting urine samples, which were used for metabolomic profiling (Ultrahigh Performance Liquid chromatography-Mass Spectrometry). Multivariable logistic and ordinal logistic regression models were used for analysis, accounting for gender, age, body mass index and use of AREDS supplementation. Results from both cohorts were then meta-analyzed. No significant differences in urine metabolites were seen when comparing patients with AMD and controls. When disease severity was considered as an outcome, six urinary metabolites differed significantly (p < 0.01). In particular, two of the metabolites identified have been previously shown by our group to also differ in the plasma of patients of AMD compared to controls and across severity stages. While there are fewer urinary metabolites associated with AMD than plasma metabolites, this study identified some differences across stages of disease that support previous work performed with plasma, thus highlighting the potential of these metabolites as future biomarkers for AMD. |
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Urinary Mass Spectrometry Profiles in Age-Related Macular Degenerationage-related macular degenerationmetabolomicsurineWe and others have shown that patients with different severity stages of age-related macular degeneration (AMD) have distinct plasma metabolomic profiles compared to controls. Urine is a biofluid that can be obtained non-invasively and, in other fields, urine metabolomics has been proposed as a feasible alternative to plasma biomarkers. However, no studies have applied urinary mass spectrometry (MS) metabolomics to AMD. This study aimed to assess urinary metabolomic profiles of patients with different stages of AMD and a control group. We included two prospectively designed, multicenter, cross-sectional study cohorts: Boston, US (n = 185) and Coimbra, Portugal (n = 299). We collected fasting urine samples, which were used for metabolomic profiling (Ultrahigh Performance Liquid chromatography-Mass Spectrometry). Multivariable logistic and ordinal logistic regression models were used for analysis, accounting for gender, age, body mass index and use of AREDS supplementation. Results from both cohorts were then meta-analyzed. No significant differences in urine metabolites were seen when comparing patients with AMD and controls. When disease severity was considered as an outcome, six urinary metabolites differed significantly (p < 0.01). In particular, two of the metabolites identified have been previously shown by our group to also differ in the plasma of patients of AMD compared to controls and across severity stages. While there are fewer urinary metabolites associated with AMD than plasma metabolites, this study identified some differences across stages of disease that support previous work performed with plasma, thus highlighting the potential of these metabolites as future biomarkers for AMD.Miller Retina Research Fund (Mass. Eye and Ear), Champalimaud Vision Award, National Institutes of Health (NIH) R01EY030088, the unrestricted departmental Grant from Research to Prevent Blindness, Inc., New York, Portuguese Foundation for Science and Technology/Harvard Medical School Portugal Program (HMSP-ICJ/006/2013), and the Commonwealth Unrestricted Grant for Eye Research2022-02-11info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://hdl.handle.net/10316/103337http://hdl.handle.net/10316/103337https://doi.org/10.3390/jcm11040940eng2077-0383Laíns, InêsMendez, Kevin MGil, João Q.Miller, John BKelly, Rachel SBarreto, Patrícia Susana Correia LopesKim, Ivana KVavvas, Demetrios GMurta, Joaquim N.Liang, LimingSilva, RufinoMiller, Joan WLasky-Su, JessicaHusain, Deebainfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-04-06T10:20:24Zoai:estudogeral.uc.pt:10316/103337Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T21:20:11.576835Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
Urinary Mass Spectrometry Profiles in Age-Related Macular Degeneration |
title |
Urinary Mass Spectrometry Profiles in Age-Related Macular Degeneration |
spellingShingle |
Urinary Mass Spectrometry Profiles in Age-Related Macular Degeneration Laíns, Inês age-related macular degeneration metabolomics urine |
title_short |
Urinary Mass Spectrometry Profiles in Age-Related Macular Degeneration |
title_full |
Urinary Mass Spectrometry Profiles in Age-Related Macular Degeneration |
title_fullStr |
Urinary Mass Spectrometry Profiles in Age-Related Macular Degeneration |
title_full_unstemmed |
Urinary Mass Spectrometry Profiles in Age-Related Macular Degeneration |
title_sort |
Urinary Mass Spectrometry Profiles in Age-Related Macular Degeneration |
author |
Laíns, Inês |
author_facet |
Laíns, Inês Mendez, Kevin M Gil, João Q. Miller, John B Kelly, Rachel S Barreto, Patrícia Susana Correia Lopes Kim, Ivana K Vavvas, Demetrios G Murta, Joaquim N. Liang, Liming Silva, Rufino Miller, Joan W Lasky-Su, Jessica Husain, Deeba |
author_role |
author |
author2 |
Mendez, Kevin M Gil, João Q. Miller, John B Kelly, Rachel S Barreto, Patrícia Susana Correia Lopes Kim, Ivana K Vavvas, Demetrios G Murta, Joaquim N. Liang, Liming Silva, Rufino Miller, Joan W Lasky-Su, Jessica Husain, Deeba |
author2_role |
author author author author author author author author author author author author author |
dc.contributor.author.fl_str_mv |
Laíns, Inês Mendez, Kevin M Gil, João Q. Miller, John B Kelly, Rachel S Barreto, Patrícia Susana Correia Lopes Kim, Ivana K Vavvas, Demetrios G Murta, Joaquim N. Liang, Liming Silva, Rufino Miller, Joan W Lasky-Su, Jessica Husain, Deeba |
dc.subject.por.fl_str_mv |
age-related macular degeneration metabolomics urine |
topic |
age-related macular degeneration metabolomics urine |
description |
We and others have shown that patients with different severity stages of age-related macular degeneration (AMD) have distinct plasma metabolomic profiles compared to controls. Urine is a biofluid that can be obtained non-invasively and, in other fields, urine metabolomics has been proposed as a feasible alternative to plasma biomarkers. However, no studies have applied urinary mass spectrometry (MS) metabolomics to AMD. This study aimed to assess urinary metabolomic profiles of patients with different stages of AMD and a control group. We included two prospectively designed, multicenter, cross-sectional study cohorts: Boston, US (n = 185) and Coimbra, Portugal (n = 299). We collected fasting urine samples, which were used for metabolomic profiling (Ultrahigh Performance Liquid chromatography-Mass Spectrometry). Multivariable logistic and ordinal logistic regression models were used for analysis, accounting for gender, age, body mass index and use of AREDS supplementation. Results from both cohorts were then meta-analyzed. No significant differences in urine metabolites were seen when comparing patients with AMD and controls. When disease severity was considered as an outcome, six urinary metabolites differed significantly (p < 0.01). In particular, two of the metabolites identified have been previously shown by our group to also differ in the plasma of patients of AMD compared to controls and across severity stages. While there are fewer urinary metabolites associated with AMD than plasma metabolites, this study identified some differences across stages of disease that support previous work performed with plasma, thus highlighting the potential of these metabolites as future biomarkers for AMD. |
publishDate |
2022 |
dc.date.none.fl_str_mv |
2022-02-11 |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
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publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10316/103337 http://hdl.handle.net/10316/103337 https://doi.org/10.3390/jcm11040940 |
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http://hdl.handle.net/10316/103337 https://doi.org/10.3390/jcm11040940 |
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eng |
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eng |
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2077-0383 |
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info:eu-repo/semantics/openAccess |
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openAccess |
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Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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RCAAP |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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