Human plasma metabolomics in age-related macular degeneration (AMD) using nuclear magnetic resonance spectroscopy
To differentiate the plasma metabolomic profile of patients with age related macular degeneration (AMD) from that of controls, by Nuclear Magnetic Resonance (NMR) spectroscopy. Two cohorts (total of 396 subjects) representative of central Portugal and Boston, USA phenotypes were studied. For each co...
Gespeichert in:
Veröffentlicht in: | PloS one 2017-05, Vol.12 (5), p.e0177749-e0177749 |
---|---|
Hauptverfasser: | , , , , , , , , , , , , , , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | e0177749 |
---|---|
container_issue | 5 |
container_start_page | e0177749 |
container_title | PloS one |
container_volume | 12 |
creator | Laíns, Inês Duarte, Daniela Barros, António S Martins, Ana Sofia Gil, João Miller, John B Marques, Marco Mesquita, Tânia Kim, Ivana K Cachulo, Maria da Luz Vavvas, Demetrios Carreira, Isabel M Murta, Joaquim N Silva, Rufino Miller, Joan W Husain, Deeba Gil, Ana M |
description | To differentiate the plasma metabolomic profile of patients with age related macular degeneration (AMD) from that of controls, by Nuclear Magnetic Resonance (NMR) spectroscopy.
Two cohorts (total of 396 subjects) representative of central Portugal and Boston, USA phenotypes were studied. For each cohort, subjects were grouped according to AMD stage (early, intermediate and late). Multivariate analysis of plasma NMR spectra was performed, followed by signal integration and univariate analysis.
Small changes were detected in the levels of some amino acids, organic acids, dimethyl sulfone and specific lipid moieties, thus providing some biochemical information on the disease. The possible confounding effects of gender, smoking history and age were assessed in each cohort and found to be minimal when compared to that of the disease. A similar observation was noted in relation to age-related comorbidities. Furthermore, partially distinct putative AMD metabolite fingerprints were noted for the two cohorts studied, reflecting the importance of nutritional and other lifestyle habits in determining AMD metabolic response and potential biomarker fingerprints. Notably, some of the metabolite changes detected were noted as potentially differentiating controls from patients diagnosed with early AMD.
For the first time, this study showed metabolite changes in the plasma of patients with AMD as compared to controls, using NMR. Geographical origins were seen to affect AMD patients´ metabolic profile and some metabolites were found to be valuable in potentially differentiating controls from early stage AMD patients. Metabolomics has the potential of identifying biomarkers for AMD, and further work in this area is warranted. |
doi_str_mv | 10.1371/journal.pone.0177749 |
format | Article |
fullrecord | <record><control><sourceid>gale_plos_</sourceid><recordid>TN_cdi_plos_journals_1900218000</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A491954197</galeid><doaj_id>oai_doaj_org_article_b037fa9c6d98408b9ec720ca016c3ebd</doaj_id><sourcerecordid>A491954197</sourcerecordid><originalsourceid>FETCH-LOGICAL-c593t-e43c2571bce4bb61a1a9993b5a4eb8dc68fe4a48fd286f7f97f3fc84517708ff3</originalsourceid><addsrcrecordid>eNptUk1v1DAUjBCIlsI_QBCJSznsYsdObF-QVuWjlYq4wNl6cZ5DVo69tROk_nu83bTqosoHW88z8zzPUxRvKVlTJuinbZijB7feBY9rQoUQXD0rTqli1aqpCHv-6HxSvEppS0jNZNO8LE4qWfOKifq0uLmcR_DlzkEaoRxxgja4MA4mlYMvocdVRAcTduUIZnYQyw579BhhGoIvzzc_vnws5zT4vvSzcZgBI_Qep8GUEVPw4A2WaYdmiiGZsLt9Xbyw4BK-Wfaz4ve3r78uLlfXP79fXWyuV6ZWbFohZ6aqBW0N8rZtKFBQSrG2Bo6t7EwjLXLg0naVbKywSlhmjeR1ngSR1rKz4v1Bd-dC0su0kqaKkIpKQkhGXB0QXYCt3sVhhHirAwz6rhBiryFmIw51S5iwoEzTKcmJbBUaUREDhDaGYdtlrc9Lt7kdsTPopwjuSPT4xg9_dB_-6pqzRtAqC5wvAjHczJgmPQ7JoHPgMcx372a0kUTxDP3wH_Rpdwuqh2xg8DbkvmYvqjdcUVVzqkRGrZ9A5dVhDkGOlh1y_YjADwST_zNFtA8eKdH7YN4_Ru-DqZdgZtq7x_N5IN0nkf0DjGHiJQ</addsrcrecordid><sourcetype>Open Website</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1900218000</pqid></control><display><type>article</type><title>Human plasma metabolomics in age-related macular degeneration (AMD) using nuclear magnetic resonance spectroscopy</title><source>MEDLINE</source><source>DOAJ Directory of Open Access Journals</source><source>Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals</source><source>PubMed Central</source><source>Free Full-Text Journals in Chemistry</source><source>Public Library of Science (PLoS)</source><creator>Laíns, Inês ; Duarte, Daniela ; Barros, António S ; Martins, Ana Sofia ; Gil, João ; Miller, John B ; Marques, Marco ; Mesquita, Tânia ; Kim, Ivana K ; Cachulo, Maria da Luz ; Vavvas, Demetrios ; Carreira, Isabel M ; Murta, Joaquim N ; Silva, Rufino ; Miller, Joan W ; Husain, Deeba ; Gil, Ana M</creator><creatorcontrib>Laíns, Inês ; Duarte, Daniela ; Barros, António S ; Martins, Ana Sofia ; Gil, João ; Miller, John B ; Marques, Marco ; Mesquita, Tânia ; Kim, Ivana K ; Cachulo, Maria da Luz ; Vavvas, Demetrios ; Carreira, Isabel M ; Murta, Joaquim N ; Silva, Rufino ; Miller, Joan W ; Husain, Deeba ; Gil, Ana M</creatorcontrib><description>To differentiate the plasma metabolomic profile of patients with age related macular degeneration (AMD) from that of controls, by Nuclear Magnetic Resonance (NMR) spectroscopy.
Two cohorts (total of 396 subjects) representative of central Portugal and Boston, USA phenotypes were studied. For each cohort, subjects were grouped according to AMD stage (early, intermediate and late). Multivariate analysis of plasma NMR spectra was performed, followed by signal integration and univariate analysis.
Small changes were detected in the levels of some amino acids, organic acids, dimethyl sulfone and specific lipid moieties, thus providing some biochemical information on the disease. The possible confounding effects of gender, smoking history and age were assessed in each cohort and found to be minimal when compared to that of the disease. A similar observation was noted in relation to age-related comorbidities. Furthermore, partially distinct putative AMD metabolite fingerprints were noted for the two cohorts studied, reflecting the importance of nutritional and other lifestyle habits in determining AMD metabolic response and potential biomarker fingerprints. Notably, some of the metabolite changes detected were noted as potentially differentiating controls from patients diagnosed with early AMD.
For the first time, this study showed metabolite changes in the plasma of patients with AMD as compared to controls, using NMR. Geographical origins were seen to affect AMD patients´ metabolic profile and some metabolites were found to be valuable in potentially differentiating controls from early stage AMD patients. Metabolomics has the potential of identifying biomarkers for AMD, and further work in this area is warranted.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0177749</identifier><identifier>PMID: 28542375</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Age related diseases ; Aged ; Aged, 80 and over ; Amino acids ; Analysis ; Biology and Life Sciences ; Biomarkers ; Blood plasma ; Care and treatment ; Change detection ; Chemical properties ; Cohort Studies ; Cross-Sectional Studies ; Female ; Fingerprints ; Geographical distribution ; Health aspects ; Humans ; Integration ; Lipids ; Macular degeneration ; Macular Degeneration - blood ; Macular Degeneration - metabolism ; Magnetic resonance ; Magnetic Resonance Spectroscopy ; Male ; Medicine and Health Sciences ; Metabolic response ; Metabolites ; Metabolomics ; Middle Aged ; Multivariate analysis ; NMR ; Nuclear magnetic resonance ; Nuclear magnetic resonance spectroscopy ; Organic acids ; Patient outcomes ; Physical Sciences ; Physiological aspects ; Research and analysis methods ; Resonance ; Smoking ; Spectroscopy ; Studies</subject><ispartof>PloS one, 2017-05, Vol.12 (5), p.e0177749-e0177749</ispartof><rights>COPYRIGHT 2017 Public Library of Science</rights><rights>This is an open access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. The work is made available under the Creative Commons CC0 public domain dedication: https://creativecommons.org/publicdomain/zero/1.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c593t-e43c2571bce4bb61a1a9993b5a4eb8dc68fe4a48fd286f7f97f3fc84517708ff3</citedby><cites>FETCH-LOGICAL-c593t-e43c2571bce4bb61a1a9993b5a4eb8dc68fe4a48fd286f7f97f3fc84517708ff3</cites><orcidid>0000-0003-3766-4364</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC5436712/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC5436712/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,860,881,2096,2915,23845,27901,27902,53766,53768,79343,79344</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/28542375$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Laíns, Inês</creatorcontrib><creatorcontrib>Duarte, Daniela</creatorcontrib><creatorcontrib>Barros, António S</creatorcontrib><creatorcontrib>Martins, Ana Sofia</creatorcontrib><creatorcontrib>Gil, João</creatorcontrib><creatorcontrib>Miller, John B</creatorcontrib><creatorcontrib>Marques, Marco</creatorcontrib><creatorcontrib>Mesquita, Tânia</creatorcontrib><creatorcontrib>Kim, Ivana K</creatorcontrib><creatorcontrib>Cachulo, Maria da Luz</creatorcontrib><creatorcontrib>Vavvas, Demetrios</creatorcontrib><creatorcontrib>Carreira, Isabel M</creatorcontrib><creatorcontrib>Murta, Joaquim N</creatorcontrib><creatorcontrib>Silva, Rufino</creatorcontrib><creatorcontrib>Miller, Joan W</creatorcontrib><creatorcontrib>Husain, Deeba</creatorcontrib><creatorcontrib>Gil, Ana M</creatorcontrib><title>Human plasma metabolomics in age-related macular degeneration (AMD) using nuclear magnetic resonance spectroscopy</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>To differentiate the plasma metabolomic profile of patients with age related macular degeneration (AMD) from that of controls, by Nuclear Magnetic Resonance (NMR) spectroscopy.
Two cohorts (total of 396 subjects) representative of central Portugal and Boston, USA phenotypes were studied. For each cohort, subjects were grouped according to AMD stage (early, intermediate and late). Multivariate analysis of plasma NMR spectra was performed, followed by signal integration and univariate analysis.
Small changes were detected in the levels of some amino acids, organic acids, dimethyl sulfone and specific lipid moieties, thus providing some biochemical information on the disease. The possible confounding effects of gender, smoking history and age were assessed in each cohort and found to be minimal when compared to that of the disease. A similar observation was noted in relation to age-related comorbidities. Furthermore, partially distinct putative AMD metabolite fingerprints were noted for the two cohorts studied, reflecting the importance of nutritional and other lifestyle habits in determining AMD metabolic response and potential biomarker fingerprints. Notably, some of the metabolite changes detected were noted as potentially differentiating controls from patients diagnosed with early AMD.
For the first time, this study showed metabolite changes in the plasma of patients with AMD as compared to controls, using NMR. Geographical origins were seen to affect AMD patients´ metabolic profile and some metabolites were found to be valuable in potentially differentiating controls from early stage AMD patients. Metabolomics has the potential of identifying biomarkers for AMD, and further work in this area is warranted.</description><subject>Age related diseases</subject><subject>Aged</subject><subject>Aged, 80 and over</subject><subject>Amino acids</subject><subject>Analysis</subject><subject>Biology and Life Sciences</subject><subject>Biomarkers</subject><subject>Blood plasma</subject><subject>Care and treatment</subject><subject>Change detection</subject><subject>Chemical properties</subject><subject>Cohort Studies</subject><subject>Cross-Sectional Studies</subject><subject>Female</subject><subject>Fingerprints</subject><subject>Geographical distribution</subject><subject>Health aspects</subject><subject>Humans</subject><subject>Integration</subject><subject>Lipids</subject><subject>Macular degeneration</subject><subject>Macular Degeneration - blood</subject><subject>Macular Degeneration - metabolism</subject><subject>Magnetic resonance</subject><subject>Magnetic Resonance Spectroscopy</subject><subject>Male</subject><subject>Medicine and Health Sciences</subject><subject>Metabolic response</subject><subject>Metabolites</subject><subject>Metabolomics</subject><subject>Middle Aged</subject><subject>Multivariate analysis</subject><subject>NMR</subject><subject>Nuclear magnetic resonance</subject><subject>Nuclear magnetic resonance spectroscopy</subject><subject>Organic acids</subject><subject>Patient outcomes</subject><subject>Physical Sciences</subject><subject>Physiological aspects</subject><subject>Research and analysis methods</subject><subject>Resonance</subject><subject>Smoking</subject><subject>Spectroscopy</subject><subject>Studies</subject><issn>1932-6203</issn><issn>1932-6203</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>BENPR</sourceid><sourceid>DOA</sourceid><recordid>eNptUk1v1DAUjBCIlsI_QBCJSznsYsdObF-QVuWjlYq4wNl6cZ5DVo69tROk_nu83bTqosoHW88z8zzPUxRvKVlTJuinbZijB7feBY9rQoUQXD0rTqli1aqpCHv-6HxSvEppS0jNZNO8LE4qWfOKifq0uLmcR_DlzkEaoRxxgja4MA4mlYMvocdVRAcTduUIZnYQyw579BhhGoIvzzc_vnws5zT4vvSzcZgBI_Qep8GUEVPw4A2WaYdmiiGZsLt9Xbyw4BK-Wfaz4ve3r78uLlfXP79fXWyuV6ZWbFohZ6aqBW0N8rZtKFBQSrG2Bo6t7EwjLXLg0naVbKywSlhmjeR1ngSR1rKz4v1Bd-dC0su0kqaKkIpKQkhGXB0QXYCt3sVhhHirAwz6rhBiryFmIw51S5iwoEzTKcmJbBUaUREDhDaGYdtlrc9Lt7kdsTPopwjuSPT4xg9_dB_-6pqzRtAqC5wvAjHczJgmPQ7JoHPgMcx372a0kUTxDP3wH_Rpdwuqh2xg8DbkvmYvqjdcUVVzqkRGrZ9A5dVhDkGOlh1y_YjADwST_zNFtA8eKdH7YN4_Ru-DqZdgZtq7x_N5IN0nkf0DjGHiJQ</recordid><startdate>20170518</startdate><enddate>20170518</enddate><creator>Laíns, Inês</creator><creator>Duarte, Daniela</creator><creator>Barros, António S</creator><creator>Martins, Ana Sofia</creator><creator>Gil, João</creator><creator>Miller, John B</creator><creator>Marques, Marco</creator><creator>Mesquita, Tânia</creator><creator>Kim, Ivana K</creator><creator>Cachulo, Maria da Luz</creator><creator>Vavvas, Demetrios</creator><creator>Carreira, Isabel M</creator><creator>Murta, Joaquim N</creator><creator>Silva, Rufino</creator><creator>Miller, Joan W</creator><creator>Husain, Deeba</creator><creator>Gil, Ana M</creator><general>Public Library of Science</general><general>Public Library of Science (PLoS)</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7QG</scope><scope>7QL</scope><scope>7QO</scope><scope>7RV</scope><scope>7SN</scope><scope>7SS</scope><scope>7T5</scope><scope>7TG</scope><scope>7TM</scope><scope>7U9</scope><scope>7X2</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8C1</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>D1I</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>H94</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB.</scope><scope>KB0</scope><scope>KL.</scope><scope>L6V</scope><scope>LK8</scope><scope>M0K</scope><scope>M0S</scope><scope>M1P</scope><scope>M7N</scope><scope>M7P</scope><scope>M7S</scope><scope>NAPCQ</scope><scope>P5Z</scope><scope>P62</scope><scope>P64</scope><scope>PATMY</scope><scope>PDBOC</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>RC3</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0003-3766-4364</orcidid></search><sort><creationdate>20170518</creationdate><title>Human plasma metabolomics in age-related macular degeneration (AMD) using nuclear magnetic resonance spectroscopy</title><author>Laíns, Inês ; Duarte, Daniela ; Barros, António S ; Martins, Ana Sofia ; Gil, João ; Miller, John B ; Marques, Marco ; Mesquita, Tânia ; Kim, Ivana K ; Cachulo, Maria da Luz ; Vavvas, Demetrios ; Carreira, Isabel M ; Murta, Joaquim N ; Silva, Rufino ; Miller, Joan W ; Husain, Deeba ; Gil, Ana M</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c593t-e43c2571bce4bb61a1a9993b5a4eb8dc68fe4a48fd286f7f97f3fc84517708ff3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>Age related diseases</topic><topic>Aged</topic><topic>Aged, 80 and over</topic><topic>Amino acids</topic><topic>Analysis</topic><topic>Biology and Life Sciences</topic><topic>Biomarkers</topic><topic>Blood plasma</topic><topic>Care and treatment</topic><topic>Change detection</topic><topic>Chemical properties</topic><topic>Cohort Studies</topic><topic>Cross-Sectional Studies</topic><topic>Female</topic><topic>Fingerprints</topic><topic>Geographical distribution</topic><topic>Health aspects</topic><topic>Humans</topic><topic>Integration</topic><topic>Lipids</topic><topic>Macular degeneration</topic><topic>Macular Degeneration - blood</topic><topic>Macular Degeneration - metabolism</topic><topic>Magnetic resonance</topic><topic>Magnetic Resonance Spectroscopy</topic><topic>Male</topic><topic>Medicine and Health Sciences</topic><topic>Metabolic response</topic><topic>Metabolites</topic><topic>Metabolomics</topic><topic>Middle Aged</topic><topic>Multivariate analysis</topic><topic>NMR</topic><topic>Nuclear magnetic resonance</topic><topic>Nuclear magnetic resonance spectroscopy</topic><topic>Organic acids</topic><topic>Patient outcomes</topic><topic>Physical Sciences</topic><topic>Physiological aspects</topic><topic>Research and analysis methods</topic><topic>Resonance</topic><topic>Smoking</topic><topic>Spectroscopy</topic><topic>Studies</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Laíns, Inês</creatorcontrib><creatorcontrib>Duarte, Daniela</creatorcontrib><creatorcontrib>Barros, António S</creatorcontrib><creatorcontrib>Martins, Ana Sofia</creatorcontrib><creatorcontrib>Gil, João</creatorcontrib><creatorcontrib>Miller, John B</creatorcontrib><creatorcontrib>Marques, Marco</creatorcontrib><creatorcontrib>Mesquita, Tânia</creatorcontrib><creatorcontrib>Kim, Ivana K</creatorcontrib><creatorcontrib>Cachulo, Maria da Luz</creatorcontrib><creatorcontrib>Vavvas, Demetrios</creatorcontrib><creatorcontrib>Carreira, Isabel M</creatorcontrib><creatorcontrib>Murta, Joaquim N</creatorcontrib><creatorcontrib>Silva, Rufino</creatorcontrib><creatorcontrib>Miller, Joan W</creatorcontrib><creatorcontrib>Husain, Deeba</creatorcontrib><creatorcontrib>Gil, Ana M</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Animal Behavior Abstracts</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Biotechnology Research Abstracts</collection><collection>Nursing & Allied Health Database</collection><collection>Ecology Abstracts</collection><collection>Entomology Abstracts (Full archive)</collection><collection>Immunology Abstracts</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Nucleic Acids Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>Agricultural Science Collection</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Public Health Database</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>Natural Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Materials Science Collection</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Materials Science Database</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>Meteorological & Geoastrophysical Abstracts - Academic</collection><collection>ProQuest Engineering Collection</collection><collection>ProQuest Biological Science Collection</collection><collection>Agricultural Science Database</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Biological Science Database</collection><collection>Engineering Database</collection><collection>Nursing & Allied Health Premium</collection><collection>Advanced Technologies & Aerospace Database</collection><collection>ProQuest Advanced Technologies & Aerospace Collection</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Environmental Science Database</collection><collection>Materials Science Collection</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>Engineering Collection</collection><collection>Environmental Science Collection</collection><collection>Genetics Abstracts</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>PloS one</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Laíns, Inês</au><au>Duarte, Daniela</au><au>Barros, António S</au><au>Martins, Ana Sofia</au><au>Gil, João</au><au>Miller, John B</au><au>Marques, Marco</au><au>Mesquita, Tânia</au><au>Kim, Ivana K</au><au>Cachulo, Maria da Luz</au><au>Vavvas, Demetrios</au><au>Carreira, Isabel M</au><au>Murta, Joaquim N</au><au>Silva, Rufino</au><au>Miller, Joan W</au><au>Husain, Deeba</au><au>Gil, Ana M</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Human plasma metabolomics in age-related macular degeneration (AMD) using nuclear magnetic resonance spectroscopy</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2017-05-18</date><risdate>2017</risdate><volume>12</volume><issue>5</issue><spage>e0177749</spage><epage>e0177749</epage><pages>e0177749-e0177749</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>To differentiate the plasma metabolomic profile of patients with age related macular degeneration (AMD) from that of controls, by Nuclear Magnetic Resonance (NMR) spectroscopy.
Two cohorts (total of 396 subjects) representative of central Portugal and Boston, USA phenotypes were studied. For each cohort, subjects were grouped according to AMD stage (early, intermediate and late). Multivariate analysis of plasma NMR spectra was performed, followed by signal integration and univariate analysis.
Small changes were detected in the levels of some amino acids, organic acids, dimethyl sulfone and specific lipid moieties, thus providing some biochemical information on the disease. The possible confounding effects of gender, smoking history and age were assessed in each cohort and found to be minimal when compared to that of the disease. A similar observation was noted in relation to age-related comorbidities. Furthermore, partially distinct putative AMD metabolite fingerprints were noted for the two cohorts studied, reflecting the importance of nutritional and other lifestyle habits in determining AMD metabolic response and potential biomarker fingerprints. Notably, some of the metabolite changes detected were noted as potentially differentiating controls from patients diagnosed with early AMD.
For the first time, this study showed metabolite changes in the plasma of patients with AMD as compared to controls, using NMR. Geographical origins were seen to affect AMD patients´ metabolic profile and some metabolites were found to be valuable in potentially differentiating controls from early stage AMD patients. Metabolomics has the potential of identifying biomarkers for AMD, and further work in this area is warranted.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>28542375</pmid><doi>10.1371/journal.pone.0177749</doi><orcidid>https://orcid.org/0000-0003-3766-4364</orcidid><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 1932-6203 |
ispartof | PloS one, 2017-05, Vol.12 (5), p.e0177749-e0177749 |
issn | 1932-6203 1932-6203 |
language | eng |
recordid | cdi_plos_journals_1900218000 |
source | MEDLINE; DOAJ Directory of Open Access Journals; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; PubMed Central; Free Full-Text Journals in Chemistry; Public Library of Science (PLoS) |
subjects | Age related diseases Aged Aged, 80 and over Amino acids Analysis Biology and Life Sciences Biomarkers Blood plasma Care and treatment Change detection Chemical properties Cohort Studies Cross-Sectional Studies Female Fingerprints Geographical distribution Health aspects Humans Integration Lipids Macular degeneration Macular Degeneration - blood Macular Degeneration - metabolism Magnetic resonance Magnetic Resonance Spectroscopy Male Medicine and Health Sciences Metabolic response Metabolites Metabolomics Middle Aged Multivariate analysis NMR Nuclear magnetic resonance Nuclear magnetic resonance spectroscopy Organic acids Patient outcomes Physical Sciences Physiological aspects Research and analysis methods Resonance Smoking Spectroscopy Studies |
title | Human plasma metabolomics in age-related macular degeneration (AMD) using nuclear magnetic resonance spectroscopy |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-02T19%3A54%3A47IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_plos_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Human%20plasma%20metabolomics%20in%20age-related%20macular%20degeneration%20(AMD)%20using%20nuclear%20magnetic%20resonance%20spectroscopy&rft.jtitle=PloS%20one&rft.au=La%C3%ADns,%20In%C3%AAs&rft.date=2017-05-18&rft.volume=12&rft.issue=5&rft.spage=e0177749&rft.epage=e0177749&rft.pages=e0177749-e0177749&rft.issn=1932-6203&rft.eissn=1932-6203&rft_id=info:doi/10.1371/journal.pone.0177749&rft_dat=%3Cgale_plos_%3EA491954197%3C/gale_plos_%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=1900218000&rft_id=info:pmid/28542375&rft_galeid=A491954197&rft_doaj_id=oai_doaj_org_article_b037fa9c6d98408b9ec720ca016c3ebd&rfr_iscdi=true |