Exploring salivary proteomes in edentulous patients with type 2 diabetes.
Identifieur interne : 001227 ( PubMed/Curation ); précédent : 001226; suivant : 001228Exploring salivary proteomes in edentulous patients with type 2 diabetes.
Auteurs : Michael B. Border [États-Unis] ; Sarah Schwartz ; Jim Carlson ; Christopher F. Dibble ; Heidi Kohltfarber ; Steven Offenbacher ; John B. Buse ; Sompop BencharitSource :
- Molecular bioSystems [ 1742-2051 ] ; 2012.
Descripteurs français
- KwdFr :
- Adulte d'âge moyen, Analyse de regroupements, Bouche édentée (), Bouche édentée (métabolisme), Carbonic anhydrases (analyse), Chromatographie en phase liquide (), Diabète de type 2 (), Diabète de type 2 (métabolisme), Diabète de type 2 (physiopathologie), Femelle, Humains, Marqueurs biologiques (analyse), Mâle, Protéine amyloïde A sérique (analyse), Protéome (analyse), Protéomique (), Salive (), Spectrométrie de masse en tandem (), Sujet âgé, Technique de Western.
- MESH :
- analyse : Carbonic anhydrases, Marqueurs biologiques, Protéine amyloïde A sérique, Protéome.
- métabolisme : Bouche édentée, Diabète de type 2.
- physiopathologie : Diabète de type 2.
- Adulte d'âge moyen, Analyse de regroupements, Bouche édentée, Chromatographie en phase liquide, Diabète de type 2, Femelle, Humains, Mâle, Protéomique, Salive, Spectrométrie de masse en tandem, Sujet âgé, Technique de Western.
English descriptors
- KwdEn :
- Aged, Biomarkers (analysis), Blotting, Western, Carbonic Anhydrases (analysis), Chromatography, Liquid (methods), Cluster Analysis, Diabetes Mellitus, Type 2 (complications), Diabetes Mellitus, Type 2 (metabolism), Diabetes Mellitus, Type 2 (physiopathology), Female, Humans, Male, Middle Aged, Mouth, Edentulous (complications), Mouth, Edentulous (metabolism), Proteome (analysis), Proteomics (methods), Saliva (chemistry), Serum Amyloid A Protein (analysis), Tandem Mass Spectrometry (methods).
- MESH :
- chemical , analysis : Biomarkers, Carbonic Anhydrases, Proteome, Serum Amyloid A Protein.
- chemistry : Saliva.
- complications : Diabetes Mellitus, Type 2, Mouth, Edentulous.
- metabolism : Diabetes Mellitus, Type 2, Mouth, Edentulous.
- methods : Chromatography, Liquid, Proteomics, Tandem Mass Spectrometry.
- physiopathology : Diabetes Mellitus, Type 2.
- Aged, Blotting, Western, Cluster Analysis, Female, Humans, Male, Middle Aged.
Abstract
Type 2 diabetes and tooth loss are linked both epidemiologically and pathophysiologically. We applied label-free differential protein expression analysis using multidimensional liquid chromatography/tandem mass spectrometry (2D-LC-MS/MS) to explore the proteomic profile of saliva samples collected from selected type 2 diabetic edentulous patients and non-diabetic controls. Ninety-six peptides corresponding to 52 proteins were differentially expressed between the diabetic edentulous patients and controls (p < 0.05). Some diabetes-related inflammatory biomarkers including glyceraldehyde-3-phosphate dehydrogenase and serum amyloid A were detected with levels increased in diabetic samples. Other biomarkers including amylase, palate, lung and nasal epithelium associated protein (PLUNC), and serotransferrin levels were decreased in diabetic samples. In contrast with previous findings, salivary carbonic anhydrase 6 and alpha-2 macroglobulin levels, however, were decreased in this diabetic patient population. Cluster analysis and principle component analysis demonstrated a differential pattern of protein biomarker expression between diabetic and control subjects. Western blot analysis was completed to confirm the relatively lower expression level of two biomarkers, including PLUNC and amylase in the diabetic group compared to control subjects. The presence of salivary biomarkers specific for diabetes in edentulous subjects mimics those in serum, especially those related to inflammatory/lipid metabolism. While this exploratory study requires further validation with a larger population, it provides proof-of-principle for salivary proteomics for edentulous subjects with diabetes.
DOI: 10.1039/c2mb05079j
PubMed: 22314925
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Border</name><affiliation wicri:level="1"><nlm:affiliation>Department of Prosthodontics, School of Dentistry, University of North Carolina, Chapel Hill, NC 27599-7450, USA.</nlm:affiliation><country xml:lang="fr">États-Unis</country><wicri:regionArea>Department of Prosthodontics, School of Dentistry, University of North Carolina, Chapel Hill, NC 27599-7450</wicri:regionArea></affiliation></author><author><name sortKey="Schwartz, Sarah" sort="Schwartz, Sarah" uniqKey="Schwartz S" first="Sarah" last="Schwartz">Sarah Schwartz</name></author><author><name sortKey="Carlson, Jim" sort="Carlson, Jim" uniqKey="Carlson J" first="Jim" last="Carlson">Jim Carlson</name></author><author><name sortKey="Dibble, Christopher F" sort="Dibble, Christopher F" uniqKey="Dibble C" first="Christopher F" last="Dibble">Christopher F. 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We applied label-free differential protein expression analysis using multidimensional liquid chromatography/tandem mass spectrometry (2D-LC-MS/MS) to explore the proteomic profile of saliva samples collected from selected type 2 diabetic edentulous patients and non-diabetic controls. Ninety-six peptides corresponding to 52 proteins were differentially expressed between the diabetic edentulous patients and controls (p < 0.05). Some diabetes-related inflammatory biomarkers including glyceraldehyde-3-phosphate dehydrogenase and serum amyloid A were detected with levels increased in diabetic samples. Other biomarkers including amylase, palate, lung and nasal epithelium associated protein (PLUNC), and serotransferrin levels were decreased in diabetic samples. In contrast with previous findings, salivary carbonic anhydrase 6 and alpha-2 macroglobulin levels, however, were decreased in this diabetic patient population. Cluster analysis and principle component analysis demonstrated a differential pattern of protein biomarker expression between diabetic and control subjects. Western blot analysis was completed to confirm the relatively lower expression level of two biomarkers, including PLUNC and amylase in the diabetic group compared to control subjects. The presence of salivary biomarkers specific for diabetes in edentulous subjects mimics those in serum, especially those related to inflammatory/lipid metabolism. While this exploratory study requires further validation with a larger population, it provides proof-of-principle for salivary proteomics for edentulous subjects with diabetes.</div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">22314925</PMID><DateCompleted><Year>2012</Year><Month>06</Month><Day>29</Day></DateCompleted><DateRevised><Year>2015</Year><Month>11</Month><Day>19</Day></DateRevised><Article PubModel="Print-Electronic"><Journal><ISSN IssnType="Electronic">1742-2051</ISSN><JournalIssue CitedMedium="Internet"><Volume>8</Volume><Issue>4</Issue><PubDate><Year>2012</Year><Month>Apr</Month></PubDate></JournalIssue><Title>Molecular bioSystems</Title><ISOAbbreviation>Mol Biosyst</ISOAbbreviation></Journal><ArticleTitle>Exploring salivary proteomes in edentulous patients with type 2 diabetes.</ArticleTitle><Pagination><MedlinePgn>1304-10</MedlinePgn></Pagination><ELocationID EIdType="doi" ValidYN="Y">10.1039/c2mb05079j</ELocationID><Abstract><AbstractText>Type 2 diabetes and tooth loss are linked both epidemiologically and pathophysiologically. We applied label-free differential protein expression analysis using multidimensional liquid chromatography/tandem mass spectrometry (2D-LC-MS/MS) to explore the proteomic profile of saliva samples collected from selected type 2 diabetic edentulous patients and non-diabetic controls. Ninety-six peptides corresponding to 52 proteins were differentially expressed between the diabetic edentulous patients and controls (p < 0.05). Some diabetes-related inflammatory biomarkers including glyceraldehyde-3-phosphate dehydrogenase and serum amyloid A were detected with levels increased in diabetic samples. Other biomarkers including amylase, palate, lung and nasal epithelium associated protein (PLUNC), and serotransferrin levels were decreased in diabetic samples. In contrast with previous findings, salivary carbonic anhydrase 6 and alpha-2 macroglobulin levels, however, were decreased in this diabetic patient population. Cluster analysis and principle component analysis demonstrated a differential pattern of protein biomarker expression between diabetic and control subjects. Western blot analysis was completed to confirm the relatively lower expression level of two biomarkers, including PLUNC and amylase in the diabetic group compared to control subjects. The presence of salivary biomarkers specific for diabetes in edentulous subjects mimics those in serum, especially those related to inflammatory/lipid metabolism. While this exploratory study requires further validation with a larger population, it provides proof-of-principle for salivary proteomics for edentulous subjects with diabetes.</AbstractText></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Border</LastName><ForeName>Michael B</ForeName><Initials>MB</Initials><AffiliationInfo><Affiliation>Department of Prosthodontics, School of Dentistry, University of North Carolina, Chapel Hill, NC 27599-7450, USA.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Schwartz</LastName><ForeName>Sarah</ForeName><Initials>S</Initials></Author><Author ValidYN="Y"><LastName>Carlson</LastName><ForeName>Jim</ForeName><Initials>J</Initials></Author><Author ValidYN="Y"><LastName>Dibble</LastName><ForeName>Christopher F</ForeName><Initials>CF</Initials></Author><Author ValidYN="Y"><LastName>Kohltfarber</LastName><ForeName>Heidi</ForeName><Initials>H</Initials></Author><Author ValidYN="Y"><LastName>Offenbacher</LastName><ForeName>Steven</ForeName><Initials>S</Initials></Author><Author ValidYN="Y"><LastName>Buse</LastName><ForeName>John B</ForeName><Initials>JB</Initials></Author><Author ValidYN="Y"><LastName>Bencharit</LastName><ForeName>Sompop</ForeName><Initials>S</Initials></Author></AuthorList><Language>eng</Language><GrantList CompleteYN="Y"><Grant><GrantID>HL092338</GrantID><Acronym>HL</Acronym><Agency>NHLBI NIH HHS</Agency><Country>United States</Country></Grant><Grant><GrantID>UL1RR025747</GrantID><Acronym>RR</Acronym><Agency>NCRR NIH HHS</Agency><Country>United States</Country></Grant></GrantList><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType><PublicationType UI="D052061">Research Support, N.I.H., Extramural</PublicationType><PublicationType UI="D013485">Research Support, Non-U.S. Gov't</PublicationType></PublicationTypeList><ArticleDate DateType="Electronic"><Year>2012</Year><Month>02</Month><Day>08</Day></ArticleDate></Article><MedlineJournalInfo><Country>England</Country><MedlineTA>Mol Biosyst</MedlineTA><NlmUniqueID>101251620</NlmUniqueID><ISSNLinking>1742-2051</ISSNLinking></MedlineJournalInfo><ChemicalList><Chemical><RegistryNumber>0</RegistryNumber><NameOfSubstance UI="D015415">Biomarkers</NameOfSubstance></Chemical><Chemical><RegistryNumber>0</RegistryNumber><NameOfSubstance UI="D020543">Proteome</NameOfSubstance></Chemical><Chemical><RegistryNumber>0</RegistryNumber><NameOfSubstance UI="D000685">Serum Amyloid A Protein</NameOfSubstance></Chemical><Chemical><RegistryNumber>EC 4.2.1.1</RegistryNumber><NameOfSubstance UI="D002256">Carbonic Anhydrases</NameOfSubstance></Chemical><Chemical><RegistryNumber>EC 4.2.1.1</RegistryNumber><NameOfSubstance UI="C477051">carbonic anhydrase VI</NameOfSubstance></Chemical></ChemicalList><CitationSubset>IM</CitationSubset><MeshHeadingList><MeshHeading><DescriptorName UI="D000368" MajorTopicYN="N">Aged</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D015415" MajorTopicYN="N">Biomarkers</DescriptorName><QualifierName UI="Q000032" MajorTopicYN="N">analysis</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D015153" MajorTopicYN="N">Blotting, Western</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D002256" MajorTopicYN="N">Carbonic Anhydrases</DescriptorName><QualifierName UI="Q000032" MajorTopicYN="N">analysis</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D002853" MajorTopicYN="N">Chromatography, Liquid</DescriptorName><QualifierName UI="Q000379" MajorTopicYN="N">methods</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D016000" MajorTopicYN="N">Cluster Analysis</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D003924" MajorTopicYN="N">Diabetes Mellitus, Type 2</DescriptorName><QualifierName UI="Q000150" MajorTopicYN="N">complications</QualifierName><QualifierName UI="Q000378" MajorTopicYN="N">metabolism</QualifierName><QualifierName UI="Q000503" MajorTopicYN="Y">physiopathology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D005260" MajorTopicYN="N">Female</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D006801" MajorTopicYN="N">Humans</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D008297" MajorTopicYN="N">Male</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D008875" MajorTopicYN="N">Middle Aged</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D009066" MajorTopicYN="N">Mouth, Edentulous</DescriptorName><QualifierName UI="Q000150" MajorTopicYN="N">complications</QualifierName><QualifierName UI="Q000378" MajorTopicYN="Y">metabolism</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D020543" MajorTopicYN="N">Proteome</DescriptorName><QualifierName UI="Q000032" MajorTopicYN="Y">analysis</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D040901" MajorTopicYN="N">Proteomics</DescriptorName><QualifierName UI="Q000379" MajorTopicYN="Y">methods</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D012463" MajorTopicYN="N">Saliva</DescriptorName><QualifierName UI="Q000737" MajorTopicYN="Y">chemistry</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D000685" MajorTopicYN="N">Serum Amyloid A Protein</DescriptorName><QualifierName UI="Q000032" MajorTopicYN="N">analysis</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D053719" MajorTopicYN="N">Tandem Mass Spectrometry</DescriptorName><QualifierName UI="Q000379" MajorTopicYN="N">methods</QualifierName></MeshHeading></MeshHeadingList></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="entrez"><Year>2012</Year><Month>2</Month><Day>9</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="pubmed"><Year>2012</Year><Month>2</Month><Day>9</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate 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