Retinal metabolic events in preconditioning light stress as revealed by wide-spectrum targeted metabolomics
Identifieur interne : 000106 ( Pmc/Checkpoint ); précédent : 000105; suivant : 000107Retinal metabolic events in preconditioning light stress as revealed by wide-spectrum targeted metabolomics
Auteurs : Juan Manuel Chao De La Barca [France] ; Nuan-Ting Huang ; Haihan Jiao ; Lydie Tessier [France] ; Cédric Gadras [France] ; Gilles Simard [France] ; Riccardo Natoli ; Guillaume Tcherkez ; Pascal Reynier [France] ; Krisztina ValterSource :
- Metabolomics [ 1573-3882 ] ; 2017.
Abstract
Light is the primary stimulus for vision, but may also cause damage to the retina. Pre-exposing the retina to sub-lethal amount of light (or preconditioning) improves chances for retinal cells to survive acute damaging light stress.
This study aims at exploring the changes in retinal metabolome after mild light stress and identifying mechanisms that may be involved in preconditioning.
Retinas from 12 rats exposed to mild light stress (1000 lux × for 12 h) and 12 controls were collected one and seven days after light stress (LS). One retina was used for targeted metabolomics analysis using the Biocrates p180 kit while the fellow retina was used for histological and immunohistochemistry analysis.
Immunohistochemistry confirmed that in this experiment, a mild LS with retinal immune response and minimal photoreceptor loss occurred. Compared to controls, LS induced an increased concentration in phosphatidylcholines. The concentration in some amino acids and biogenic amines, particularly those related to the nitric oxide pathway (like asymmetric dimethylarginine (ADMA), arginine and citrulline) also increased 1 day after LS. 7 days after LS, the concentration in two sphingomyelins and phenylethylamine was found to be higher. We further found that in controls, retina metabolome was different between males and females: male retinas had an increased concentration in tyrosine, acetyl-ornithine, phosphatidylcholines and (acyl)-carnitines.
Besides retinal sexual metabolic dimorphism, this study shows that preconditioning is mostly associated with re-organisation of lipid metabolism and changes in amino acid composition, likely reflecting the involvement of arginine-dependent NO signalling.
The online version of this article (doi:10.1007/s11306-016-1156-9) contains supplementary material, which is available to authorized users.
Url:
DOI: 10.1007/s11306-016-1156-9
PubMed: 28706468
PubMed Central: 5486622
Affiliations:
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<author><name sortKey="Jiao, Haihan" sort="Jiao, Haihan" uniqKey="Jiao H" first="Haihan" last="Jiao">Haihan Jiao</name>
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<front><div type="abstract" xml:lang="en"><sec><title>Introduction</title>
<p>Light is the primary stimulus for vision, but may also cause damage to the retina. Pre-exposing the retina to sub-lethal amount of light (or preconditioning) improves chances for retinal cells to survive acute damaging light stress.</p>
</sec>
<sec><title>Objectives</title>
<p>This study aims at exploring the changes in retinal metabolome after mild light stress and identifying mechanisms that may be involved in preconditioning.</p>
</sec>
<sec><title>Methods</title>
<p>Retinas from 12 rats exposed to mild light stress (1000 lux × for 12 h) and 12 controls were collected one and seven days after light stress (LS). One retina was used for targeted metabolomics analysis using the Biocrates p180 kit while the fellow retina was used for histological and immunohistochemistry analysis.</p>
</sec>
<sec><title>Results</title>
<p>Immunohistochemistry confirmed that in this experiment, a mild LS with retinal immune response and minimal photoreceptor loss occurred. Compared to controls, LS induced an increased concentration in phosphatidylcholines. The concentration in some amino acids and biogenic amines, particularly those related to the nitric oxide pathway (like asymmetric dimethylarginine (ADMA), arginine and citrulline) also increased 1 day after LS. 7 days after LS, the concentration in two sphingomyelins and phenylethylamine was found to be higher. We further found that in controls, retina metabolome was different between males and females: male retinas had an increased concentration in tyrosine, acetyl-ornithine, phosphatidylcholines and (acyl)-carnitines.</p>
</sec>
<sec><title>Conclusions</title>
<p>Besides retinal sexual metabolic dimorphism, this study shows that preconditioning is mostly associated with re-organisation of lipid metabolism and changes in amino acid composition, likely reflecting the involvement of arginine-dependent NO signalling.</p>
</sec>
<sec><title>Electronic supplementary material</title>
<p>The online version of this article (doi:10.1007/s11306-016-1156-9) contains supplementary material, which is available to authorized users.</p>
</sec>
</div>
</front>
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</TEI>
<pmc article-type="research-article"><pmc-dir>properties open_access</pmc-dir>
<front><journal-meta><journal-id journal-id-type="nlm-ta">Metabolomics</journal-id>
<journal-id journal-id-type="iso-abbrev">Metabolomics</journal-id>
<journal-title-group><journal-title>Metabolomics</journal-title>
</journal-title-group>
<issn pub-type="ppub">1573-3882</issn>
<issn pub-type="epub">1573-3890</issn>
<publisher><publisher-name>Springer US</publisher-name>
<publisher-loc>New York</publisher-loc>
</publisher>
</journal-meta>
<article-meta><article-id pub-id-type="pmid">28706468</article-id>
<article-id pub-id-type="pmc">5486622</article-id>
<article-id pub-id-type="publisher-id">1156</article-id>
<article-id pub-id-type="doi">10.1007/s11306-016-1156-9</article-id>
<article-categories><subj-group subj-group-type="heading"><subject>Original Article</subject>
</subj-group>
</article-categories>
<title-group><article-title>Retinal metabolic events in preconditioning light stress as revealed by wide-spectrum targeted metabolomics</article-title>
</title-group>
<contrib-group><contrib contrib-type="author" corresp="yes"><name><surname>de la Barca</surname>
<given-names>Juan Manuel Chao</given-names>
</name>
<address><phone>+61 456 715 172</phone>
<email>jmchaodelabarca@chu-angers.fr</email>
</address>
<xref ref-type="aff" rid="Aff1">1</xref>
<xref ref-type="aff" rid="Aff2">2</xref>
<xref ref-type="aff" rid="Aff4">4</xref>
</contrib>
<contrib contrib-type="author"><name><surname>Huang</surname>
<given-names>Nuan-Ting</given-names>
</name>
<xref ref-type="aff" rid="Aff4">4</xref>
</contrib>
<contrib contrib-type="author"><name><surname>Jiao</surname>
<given-names>Haihan</given-names>
</name>
<xref ref-type="aff" rid="Aff4">4</xref>
</contrib>
<contrib contrib-type="author"><name><surname>Tessier</surname>
<given-names>Lydie</given-names>
</name>
<xref ref-type="aff" rid="Aff2">2</xref>
</contrib>
<contrib contrib-type="author"><name><surname>Gadras</surname>
<given-names>Cédric</given-names>
</name>
<xref ref-type="aff" rid="Aff2">2</xref>
</contrib>
<contrib contrib-type="author"><name><surname>Simard</surname>
<given-names>Gilles</given-names>
</name>
<xref ref-type="aff" rid="Aff2">2</xref>
<xref ref-type="aff" rid="Aff3">3</xref>
</contrib>
<contrib contrib-type="author"><name><surname>Natoli</surname>
<given-names>Riccardo</given-names>
</name>
<xref ref-type="aff" rid="Aff4">4</xref>
<xref ref-type="aff" rid="Aff5">5</xref>
</contrib>
<contrib contrib-type="author"><name><surname>Tcherkez</surname>
<given-names>Guillaume</given-names>
</name>
<xref ref-type="aff" rid="Aff6">6</xref>
</contrib>
<contrib contrib-type="author"><name><surname>Reynier</surname>
<given-names>Pascal</given-names>
</name>
<xref ref-type="aff" rid="Aff1">1</xref>
<xref ref-type="aff" rid="Aff2">2</xref>
</contrib>
<contrib contrib-type="author"><name><surname>Valter</surname>
<given-names>Krisztina</given-names>
</name>
<xref ref-type="aff" rid="Aff4">4</xref>
<xref ref-type="aff" rid="Aff5">5</xref>
</contrib>
<aff id="Aff1"><label>1</label>
<institution-wrap><institution-id institution-id-type="ISNI">0000 0001 2248 3363</institution-id>
<institution-id institution-id-type="GRID">grid.7252.2</institution-id>
<institution>PREMMi/Pôle de Recherche et d’Enseignement en Médecine Mitochondriale, Institut MITOVASC, CNRS 6214, INSERM U1083,</institution>
<institution>Université d’Angers,</institution>
</institution-wrap>
49933 Angers, France</aff>
<aff id="Aff2"><label>2</label>
Département de Biochimie et Génétique, Centre Hospitalier Universitaire, 4 rue Larrey, 49933 Angers cedex 9, France</aff>
<aff id="Aff3"><label>3</label>
<institution-wrap><institution-id institution-id-type="ISNI">0000 0001 2248 3363</institution-id>
<institution-id institution-id-type="GRID">grid.7252.2</institution-id>
<institution>INSERM U1063,</institution>
<institution>Université d’Angers,</institution>
</institution-wrap>
49933 Angers, France</aff>
<aff id="Aff4"><label>4</label>
<institution-wrap><institution-id institution-id-type="ISNI">0000 0001 2180 7477</institution-id>
<institution-id institution-id-type="GRID">grid.1001.0</institution-id>
<institution>Eccles Institute of Neuroscience, John Curtin School of Medical research,</institution>
<institution>Australian National University,</institution>
</institution-wrap>
Canberra, ACT 2601 Australia</aff>
<aff id="Aff5"><label>5</label>
<institution-wrap><institution-id institution-id-type="ISNI">0000 0001 2180 7477</institution-id>
<institution-id institution-id-type="GRID">grid.1001.0</institution-id>
<institution>Medical School,</institution>
<institution>Australian National University,</institution>
</institution-wrap>
Canberra, ACT 2601 Australia</aff>
<aff id="Aff6"><label>6</label>
<institution-wrap><institution-id institution-id-type="ISNI">0000 0001 2180 7477</institution-id>
<institution-id institution-id-type="GRID">grid.1001.0</institution-id>
<institution>Research School of Biology, College of Medicine, Biology and Environment,</institution>
<institution>Australian National University,</institution>
</institution-wrap>
Canberra, ACT 2601 Australia</aff>
</contrib-group>
<pub-date pub-type="epub"><day>20</day>
<month>1</month>
<year>2017</year>
</pub-date>
<pub-date pub-type="pmc-release"><day>20</day>
<month>1</month>
<year>2017</year>
</pub-date>
<pub-date pub-type="ppub"><year>2017</year>
</pub-date>
<volume>13</volume>
<issue>3</issue>
<elocation-id>22</elocation-id>
<history><date date-type="received"><day>29</day>
<month>8</month>
<year>2016</year>
</date>
<date date-type="accepted"><day>20</day>
<month>12</month>
<year>2016</year>
</date>
</history>
<permissions><copyright-statement>© The Author(s) 2017</copyright-statement>
<license license-type="OpenAccess"><license-p><bold>Open Access</bold>
This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits use, duplication, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
</license-p>
</license>
</permissions>
<abstract id="Abs1"><sec><title>Introduction</title>
<p>Light is the primary stimulus for vision, but may also cause damage to the retina. Pre-exposing the retina to sub-lethal amount of light (or preconditioning) improves chances for retinal cells to survive acute damaging light stress.</p>
</sec>
<sec><title>Objectives</title>
<p>This study aims at exploring the changes in retinal metabolome after mild light stress and identifying mechanisms that may be involved in preconditioning.</p>
</sec>
<sec><title>Methods</title>
<p>Retinas from 12 rats exposed to mild light stress (1000 lux × for 12 h) and 12 controls were collected one and seven days after light stress (LS). One retina was used for targeted metabolomics analysis using the Biocrates p180 kit while the fellow retina was used for histological and immunohistochemistry analysis.</p>
</sec>
<sec><title>Results</title>
<p>Immunohistochemistry confirmed that in this experiment, a mild LS with retinal immune response and minimal photoreceptor loss occurred. Compared to controls, LS induced an increased concentration in phosphatidylcholines. The concentration in some amino acids and biogenic amines, particularly those related to the nitric oxide pathway (like asymmetric dimethylarginine (ADMA), arginine and citrulline) also increased 1 day after LS. 7 days after LS, the concentration in two sphingomyelins and phenylethylamine was found to be higher. We further found that in controls, retina metabolome was different between males and females: male retinas had an increased concentration in tyrosine, acetyl-ornithine, phosphatidylcholines and (acyl)-carnitines.</p>
</sec>
<sec><title>Conclusions</title>
<p>Besides retinal sexual metabolic dimorphism, this study shows that preconditioning is mostly associated with re-organisation of lipid metabolism and changes in amino acid composition, likely reflecting the involvement of arginine-dependent NO signalling.</p>
</sec>
<sec><title>Electronic supplementary material</title>
<p>The online version of this article (doi:10.1007/s11306-016-1156-9) contains supplementary material, which is available to authorized users.</p>
</sec>
</abstract>
<kwd-group xml:lang="en"><title>Keywords</title>
<kwd>Metabolomics</kwd>
<kwd>Retina</kwd>
<kwd>Preconditioning</kwd>
<kwd>Immunohistochemistry</kwd>
</kwd-group>
<funding-group><award-group><funding-source><institution-wrap><institution-id institution-id-type="FundRef">http://dx.doi.org/10.13039/501100004431</institution-id>
<institution>Fondation de France</institution>
</institution-wrap>
</funding-source>
<award-id>Berthe Fouassier-2016</award-id>
</award-group>
<award-group><funding-source><institution-wrap><institution-id institution-id-type="FundRef">http://dx.doi.org/10.13039/501100000923</institution-id>
<institution>Australian Research Council</institution>
</institution-wrap>
</funding-source>
<award-id>FT140100645</award-id>
<principal-award-recipient><name><surname>Reynier</surname>
<given-names>Pascal</given-names>
</name>
</principal-award-recipient>
</award-group>
</funding-group>
<custom-meta-group><custom-meta><meta-name>issue-copyright-statement</meta-name>
<meta-value>© Springer Science+Business Media New York 2017</meta-value>
</custom-meta>
</custom-meta-group>
</article-meta>
</front>
</pmc>
<affiliations><list><country><li>France</li>
</country>
<region><li>Pays de la Loire</li>
</region>
<settlement><li>Angers</li>
</settlement>
</list>
<tree><noCountry><name sortKey="Huang, Nuan Ting" sort="Huang, Nuan Ting" uniqKey="Huang N" first="Nuan-Ting" last="Huang">Nuan-Ting Huang</name>
<name sortKey="Jiao, Haihan" sort="Jiao, Haihan" uniqKey="Jiao H" first="Haihan" last="Jiao">Haihan Jiao</name>
<name sortKey="Natoli, Riccardo" sort="Natoli, Riccardo" uniqKey="Natoli R" first="Riccardo" last="Natoli">Riccardo Natoli</name>
<name sortKey="Tcherkez, Guillaume" sort="Tcherkez, Guillaume" uniqKey="Tcherkez G" first="Guillaume" last="Tcherkez">Guillaume Tcherkez</name>
<name sortKey="Valter, Krisztina" sort="Valter, Krisztina" uniqKey="Valter K" first="Krisztina" last="Valter">Krisztina Valter</name>
</noCountry>
<country name="France"><noRegion><name sortKey="De La Barca, Juan Manuel Chao" sort="De La Barca, Juan Manuel Chao" uniqKey="De La Barca J" first="Juan Manuel Chao" last="De La Barca">Juan Manuel Chao De La Barca</name>
</noRegion>
<name sortKey="De La Barca, Juan Manuel Chao" sort="De La Barca, Juan Manuel Chao" uniqKey="De La Barca J" first="Juan Manuel Chao" last="De La Barca">Juan Manuel Chao De La Barca</name>
<name sortKey="Gadras, Cedric" sort="Gadras, Cedric" uniqKey="Gadras C" first="Cédric" last="Gadras">Cédric Gadras</name>
<name sortKey="Reynier, Pascal" sort="Reynier, Pascal" uniqKey="Reynier P" first="Pascal" last="Reynier">Pascal Reynier</name>
<name sortKey="Reynier, Pascal" sort="Reynier, Pascal" uniqKey="Reynier P" first="Pascal" last="Reynier">Pascal Reynier</name>
<name sortKey="Simard, Gilles" sort="Simard, Gilles" uniqKey="Simard G" first="Gilles" last="Simard">Gilles Simard</name>
<name sortKey="Simard, Gilles" sort="Simard, Gilles" uniqKey="Simard G" first="Gilles" last="Simard">Gilles Simard</name>
<name sortKey="Tessier, Lydie" sort="Tessier, Lydie" uniqKey="Tessier L" first="Lydie" last="Tessier">Lydie Tessier</name>
</country>
</tree>
</affiliations>
</record>
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