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Mass spectrometry as a tool for studying autism spectrum disorder

Identifieur interne : 000637 ( Pmc/Checkpoint ); précédent : 000636; suivant : 000638

Mass spectrometry as a tool for studying autism spectrum disorder

Auteurs : Alisa G. Woods ; Armand G. Ngounou Wetie [États-Unis] ; Izabela Sokolowska [États-Unis] ; Stefanie Russell [États-Unis] ; Jeanne P. Ryan [États-Unis] ; Tanja Maria Michel [Allemagne] ; Johannes Thome [Allemagne] ; Costel C. Darie [États-Unis]

Source :

RBID : PMC:4223881

Abstract

Autism spectrum disorders (ASDs) are increasing in incidence but have an incompletely understood etiology. Tools for uncovering clues to the cause of ASDs and means for diagnoses are valuable to the field. Mass Spectrometry (MS) has been a useful method for evaluating differences between individuals with ASDs versus matched controls. Different biological substances can be evaluated using MS, including urine, blood, saliva, and hair. This technique has been used to evaluate relatively unsupported hypotheses based on introduction of exogenous factors, such as opiate and heavy metal excretion theories of ASDs. MS has also been used to support disturbances in serotonin-related molecules, which have been more consistently observed in ASDs. Serotonergic system markers, markers for oxidative stress, cholesterol system disturbances, peptide hypo-phosphorylation and methylation have been measured using MS in ASDs, although further analyses with larger numbers of subjects are needed (as well as consideration of behavioral data). Refinements in MS and data analysis are ongoing, allowing for the possibility that future studies examining body fluids and specimens from ASD subjects could continue to yield novel insights. This review summarizes MS investigations that have been conducted to study ASD to date and provides insight into future promising applications for this technique, with focus on proteomic studies.


Url:
DOI: 10.1186/2049-9256-1-6
PubMed: 25408899
PubMed Central: 4223881


Affiliations:


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PMC:4223881

Le document en format XML

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<p>Autism spectrum disorders (ASDs) are increasing in incidence but have an incompletely understood etiology. Tools for uncovering clues to the cause of ASDs and means for diagnoses are valuable to the field. Mass Spectrometry (MS) has been a useful method for evaluating differences between individuals with ASDs versus matched controls. Different biological substances can be evaluated using MS, including urine, blood, saliva, and hair. This technique has been used to evaluate relatively unsupported hypotheses based on introduction of exogenous factors, such as opiate and heavy metal excretion theories of ASDs. MS has also been used to support disturbances in serotonin-related molecules, which have been more consistently observed in ASDs. Serotonergic system markers, markers for oxidative stress, cholesterol system disturbances, peptide hypo-phosphorylation and methylation have been measured using MS in ASDs, although further analyses with larger numbers of subjects are needed (as well as consideration of behavioral data). Refinements in MS and data analysis are ongoing, allowing for the possibility that future studies examining body fluids and specimens from ASD subjects could continue to yield novel insights. This review summarizes MS investigations that have been conducted to study ASD to date and provides insight into future promising applications for this technique, with focus on proteomic studies.</p>
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<pmc article-type="review-article">
<pmc-dir>properties open_access</pmc-dir>
<front>
<journal-meta>
<journal-id journal-id-type="nlm-ta">J Mol Psychiatry</journal-id>
<journal-id journal-id-type="iso-abbrev">J Mol Psychiatry</journal-id>
<journal-title-group>
<journal-title>Journal of Molecular Psychiatry</journal-title>
</journal-title-group>
<issn pub-type="epub">2049-9256</issn>
<publisher>
<publisher-name>BioMed Central</publisher-name>
<publisher-loc>London</publisher-loc>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="pmid">25408899</article-id>
<article-id pub-id-type="pmc">4223881</article-id>
<article-id pub-id-type="publisher-id">6</article-id>
<article-id pub-id-type="doi">10.1186/2049-9256-1-6</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Review</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>Mass spectrometry as a tool for studying autism spectrum disorder</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Woods</surname>
<given-names>Alisa G</given-names>
</name>
<address>
<email>awoods@clarkson.edu</email>
</address>
<xref ref-type="aff" rid="Aff1"></xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Ngounou Wetie</surname>
<given-names>Armand G</given-names>
</name>
<address>
<email>ngounoa@clarkson.edu</email>
</address>
<xref ref-type="aff" rid="Aff1"></xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Sokolowska</surname>
<given-names>Izabela</given-names>
</name>
<address>
<email>sokoloi@clarkson.edu</email>
</address>
<xref ref-type="aff" rid="Aff1"></xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Russell</surname>
<given-names>Stefanie</given-names>
</name>
<address>
<email>russells002@gmail.com</email>
</address>
<xref ref-type="aff" rid="Aff2"></xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Ryan</surname>
<given-names>Jeanne P</given-names>
</name>
<address>
<email>ryanjp@plattsburgh.edu</email>
</address>
<xref ref-type="aff" rid="Aff2"></xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Michel</surname>
<given-names>Tanja Maria</given-names>
</name>
<address>
<email>tanja.michel@med.uni-rostock.de</email>
</address>
<xref ref-type="aff" rid="Aff3"></xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Thome</surname>
<given-names>Johannes</given-names>
</name>
<address>
<email>johannes.thome@med.uni-rostock.de</email>
</address>
<xref ref-type="aff" rid="Aff3"></xref>
<xref ref-type="aff" rid="Aff4"></xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Darie</surname>
<given-names>Costel C</given-names>
</name>
<address>
<email>cdarie@clarkson.edu</email>
</address>
<xref ref-type="aff" rid="Aff1"></xref>
</contrib>
<aff id="Aff1">
<label></label>
Biochemistry and Proteomics Group Department of Chemistry and Biomolecular Science, Clarkson University, 8 Clarkson Avenue, Potsdam, NY 13699-5810 USA</aff>
<aff id="Aff2">
<label></label>
Department of Psychology, State University of New York at Plattsburgh, 101 Broad Street, Plattsburgh, NY 12901 USA</aff>
<aff id="Aff3">
<label></label>
Department of Psychiatry, University of Rostock, Gehlsheimer Straße 20, D-18147 Rostock, Germany</aff>
<aff id="Aff4">
<label></label>
College of Medicine, Swansea University, Singleton Park, Swansea, SA2 8PP UK</aff>
</contrib-group>
<pub-date pub-type="epub">
<day>21</day>
<month>5</month>
<year>2013</year>
</pub-date>
<pub-date pub-type="pmc-release">
<day>21</day>
<month>5</month>
<year>2013</year>
</pub-date>
<pub-date pub-type="collection">
<year>2013</year>
</pub-date>
<volume>1</volume>
<issue>1</issue>
<elocation-id>6</elocation-id>
<history>
<date date-type="received">
<day>2</day>
<month>10</month>
<year>2012</year>
</date>
<date date-type="accepted">
<day>13</day>
<month>11</month>
<year>2012</year>
</date>
</history>
<permissions>
<copyright-statement>© Woods et al.; licensee BioMed Central Ltd. 2013</copyright-statement>
<license license-type="open-access">
<license-p>This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (
<ext-link ext-link-type="uri" xlink:href="http://creativecommons.org/licenses/by/2.0">http://creativecommons.org/licenses/by/2.0</ext-link>
), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.</license-p>
</license>
</permissions>
<abstract id="Abs1">
<p>Autism spectrum disorders (ASDs) are increasing in incidence but have an incompletely understood etiology. Tools for uncovering clues to the cause of ASDs and means for diagnoses are valuable to the field. Mass Spectrometry (MS) has been a useful method for evaluating differences between individuals with ASDs versus matched controls. Different biological substances can be evaluated using MS, including urine, blood, saliva, and hair. This technique has been used to evaluate relatively unsupported hypotheses based on introduction of exogenous factors, such as opiate and heavy metal excretion theories of ASDs. MS has also been used to support disturbances in serotonin-related molecules, which have been more consistently observed in ASDs. Serotonergic system markers, markers for oxidative stress, cholesterol system disturbances, peptide hypo-phosphorylation and methylation have been measured using MS in ASDs, although further analyses with larger numbers of subjects are needed (as well as consideration of behavioral data). Refinements in MS and data analysis are ongoing, allowing for the possibility that future studies examining body fluids and specimens from ASD subjects could continue to yield novel insights. This review summarizes MS investigations that have been conducted to study ASD to date and provides insight into future promising applications for this technique, with focus on proteomic studies.</p>
</abstract>
<kwd-group xml:lang="en">
<title>Keywords</title>
<kwd>Mass spectrometry</kwd>
<kwd>Proteomics</kwd>
<kwd>Protein biomarkers</kwd>
<kwd>Autism spectrum disorder</kwd>
</kwd-group>
<custom-meta-group>
<custom-meta>
<meta-name>issue-copyright-statement</meta-name>
<meta-value>© BioMed Central Ltd 2013</meta-value>
</custom-meta>
</custom-meta-group>
</article-meta>
</front>
</pmc>
<affiliations>
<list>
<country>
<li>Allemagne</li>
<li>États-Unis</li>
</country>
<region>
<li>État de New York</li>
</region>
</list>
<tree>
<noCountry>
<name sortKey="Woods, Alisa G" sort="Woods, Alisa G" uniqKey="Woods A" first="Alisa G" last="Woods">Alisa G. Woods</name>
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<country name="États-Unis">
<region name="État de New York">
<name sortKey="Ngounou Wetie, Armand G" sort="Ngounou Wetie, Armand G" uniqKey="Ngounou Wetie A" first="Armand G" last="Ngounou Wetie">Armand G. Ngounou Wetie</name>
</region>
<name sortKey="Darie, Costel C" sort="Darie, Costel C" uniqKey="Darie C" first="Costel C" last="Darie">Costel C. Darie</name>
<name sortKey="Russell, Stefanie" sort="Russell, Stefanie" uniqKey="Russell S" first="Stefanie" last="Russell">Stefanie Russell</name>
<name sortKey="Ryan, Jeanne P" sort="Ryan, Jeanne P" uniqKey="Ryan J" first="Jeanne P" last="Ryan">Jeanne P. Ryan</name>
<name sortKey="Sokolowska, Izabela" sort="Sokolowska, Izabela" uniqKey="Sokolowska I" first="Izabela" last="Sokolowska">Izabela Sokolowska</name>
</country>
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<name sortKey="Michel, Tanja Maria" sort="Michel, Tanja Maria" uniqKey="Michel T" first="Tanja Maria" last="Michel">Tanja Maria Michel</name>
</noRegion>
<name sortKey="Thome, Johannes" sort="Thome, Johannes" uniqKey="Thome J" first="Johannes" last="Thome">Johannes Thome</name>
</country>
</tree>
</affiliations>
</record>

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