Association between Serum Antibodies to Oral Microorganisms and Hyperglycemia in Adults.
Identifieur interne : 000795 ( PubMed/Checkpoint ); précédent : 000794; suivant : 000796Association between Serum Antibodies to Oral Microorganisms and Hyperglycemia in Adults.
Auteurs : A T Merchant [États-Unis] ; D. Shrestha [États-Unis] ; C. Chaisson [États-Unis] ; Y H Choi [Corée du Sud] ; L J Hazlett [États-Unis] ; J. Zhang [États-Unis]Source :
- Journal of dental research [ 1544-0591 ] ; 2014.
Descripteurs français
- KwdFr :
- Adulte, Adulte d'âge moyen, Anticorps antibactériens (sang), Bactéries à Gram négatif (immunologie), Bactéries à Gram positif (immunologie), Diabète (immunologie), Diabète (sang), Enquêtes nutritionnelles, Femelle, Glycémie (analyse), Humains, Hyperglycémie (immunologie), Hyperglycémie (sang), Immunoglobuline G (sang), Insuline (sang), Jeûne, Maladies parodontales (microbiologie), Mâchoire édentée (immunologie), Mâchoire édentée (sang), Mâle, État prédiabétique (immunologie), État prédiabétique (sang), Études transversales.
- MESH :
- analyse : Glycémie.
- immunologie : Bactéries à Gram négatif, Bactéries à Gram positif, Diabète, Hyperglycémie, Mâchoire édentée, État prédiabétique.
- microbiologie : Maladies parodontales.
- sang : Anticorps antibactériens, Diabète, Hyperglycémie, Immunoglobuline G, Insuline, Mâchoire édentée, État prédiabétique.
- Adulte, Adulte d'âge moyen, Enquêtes nutritionnelles, Femelle, Humains, Jeûne, Mâle, Études transversales.
English descriptors
- KwdEn :
- Adult, Antibodies, Bacterial (blood), Blood Glucose (analysis), Cross-Sectional Studies, Diabetes Mellitus (blood), Diabetes Mellitus (immunology), Fasting, Female, Glycated Hemoglobin A (analysis), Gram-Negative Bacteria (immunology), Gram-Positive Bacteria (immunology), Humans, Hyperglycemia (blood), Hyperglycemia (immunology), Immunoglobulin G (blood), Insulin (blood), Jaw, Edentulous (blood), Jaw, Edentulous (immunology), Male, Middle Aged, Nutrition Surveys, Periodontal Diseases (microbiology), Prediabetic State (blood), Prediabetic State (immunology).
- MESH :
- chemical , analysis : Blood Glucose, Glycated Hemoglobin A.
- chemical , blood : Antibodies, Bacterial, Immunoglobulin G, Insulin.
- blood : Diabetes Mellitus, Hyperglycemia, Jaw, Edentulous, Prediabetic State.
- immunology : Diabetes Mellitus, Gram-Negative Bacteria, Gram-Positive Bacteria, Hyperglycemia, Jaw, Edentulous, Prediabetic State.
- microbiology : Periodontal Diseases.
- Adult, Cross-Sectional Studies, Fasting, Female, Humans, Male, Middle Aged, Nutrition Surveys.
Abstract
We conducted a cross-sectional analysis to evaluate the relationship between serum antibody titers against 19 selected oral microorganisms and measures of hyperglycemia in a large, nationally representative data set. The study population consisted of 7,848 participants from the National Health and Nutrition Examination Survey III (1988-1994) who were at least 40 yrs old, with complete serum IgG antibody data against 19 oral microorganisms. The 19 antibody titers were grouped into 4 categories via cluster analysis--orange-red, yellow-orange, orange-blue, and red-green--named to reflect predominant antibody titers against microorganisms in Socransky's classification scheme for oral microbes. Linear regression models weighted for complex survey design were used in which fasting blood glucose, fasting insulin, and HbA1c were outcomes and antibody cluster scores were exposures, adjusting for potential confounders. Higher orange-red cluster scores were associated with increased hyperglycemia, while higher orange-blue cluster scores were related with decreased hyperglycemia. A 1-unit-higher orange-red cluster score was associated with 0.46 mg/dL higher fasting blood glucose (p = .0038), and a 1-unit-higher orange-blue cluster score was associated with 0.34% lower HbA1c (p = .0257). Groups of antibody titers against periodontal microorganisms were associated with hyperglycemia independent of known risk factors.
DOI: 10.1177/0022034514538451
PubMed: 24943202
Affiliations:
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Shrestha</name><affiliation wicri:level="1"><nlm:affiliation>Department of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia, USA.</nlm:affiliation><country xml:lang="fr">États-Unis</country><wicri:regionArea>Department of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia</wicri:regionArea><wicri:noRegion>Columbia</wicri:noRegion></affiliation></author><author><name sortKey="Chaisson, C" sort="Chaisson, C" uniqKey="Chaisson C" first="C" last="Chaisson">C. 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Zhang</name><affiliation wicri:level="1"><nlm:affiliation>Department of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia, USA.</nlm:affiliation><country xml:lang="fr">États-Unis</country><wicri:regionArea>Department of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia</wicri:regionArea><wicri:noRegion>Columbia</wicri:noRegion></affiliation></author></analytic><series><title level="j">Journal of dental research</title><idno type="eISSN">1544-0591</idno><imprint><date when="2014" type="published">2014</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Adult</term><term>Antibodies, Bacterial (blood)</term><term>Blood Glucose (analysis)</term><term>Cross-Sectional Studies</term><term>Diabetes Mellitus (blood)</term><term>Diabetes Mellitus (immunology)</term><term>Fasting</term><term>Female</term><term>Glycated Hemoglobin A (analysis)</term><term>Gram-Negative Bacteria (immunology)</term><term>Gram-Positive Bacteria (immunology)</term><term>Humans</term><term>Hyperglycemia (blood)</term><term>Hyperglycemia (immunology)</term><term>Immunoglobulin G (blood)</term><term>Insulin (blood)</term><term>Jaw, Edentulous (blood)</term><term>Jaw, Edentulous (immunology)</term><term>Male</term><term>Middle Aged</term><term>Nutrition Surveys</term><term>Periodontal Diseases (microbiology)</term><term>Prediabetic State (blood)</term><term>Prediabetic State (immunology)</term></keywords><keywords scheme="KwdFr" xml:lang="fr"><term>Adulte</term><term>Adulte d'âge moyen</term><term>Anticorps antibactériens (sang)</term><term>Bactéries à Gram négatif (immunologie)</term><term>Bactéries à Gram positif (immunologie)</term><term>Diabète (immunologie)</term><term>Diabète (sang)</term><term>Enquêtes nutritionnelles</term><term>Femelle</term><term>Glycémie (analyse)</term><term>Humains</term><term>Hyperglycémie (immunologie)</term><term>Hyperglycémie (sang)</term><term>Immunoglobuline G (sang)</term><term>Insuline (sang)</term><term>Jeûne</term><term>Maladies parodontales (microbiologie)</term><term>Mâchoire édentée (immunologie)</term><term>Mâchoire édentée (sang)</term><term>Mâle</term><term>État prédiabétique (immunologie)</term><term>État prédiabétique (sang)</term><term>Études transversales</term></keywords><keywords scheme="MESH" type="chemical" qualifier="analysis" xml:lang="en"><term>Blood Glucose</term><term>Glycated Hemoglobin A</term></keywords><keywords scheme="MESH" type="chemical" qualifier="blood" xml:lang="en"><term>Antibodies, Bacterial</term><term>Immunoglobulin G</term><term>Insulin</term></keywords><keywords scheme="MESH" qualifier="analyse" xml:lang="fr"><term>Glycémie</term></keywords><keywords scheme="MESH" qualifier="blood" xml:lang="en"><term>Diabetes Mellitus</term><term>Hyperglycemia</term><term>Jaw, Edentulous</term><term>Prediabetic State</term></keywords><keywords scheme="MESH" qualifier="immunologie" xml:lang="fr"><term>Bactéries à Gram négatif</term><term>Bactéries à Gram positif</term><term>Diabète</term><term>Hyperglycémie</term><term>Mâchoire édentée</term><term>État prédiabétique</term></keywords><keywords scheme="MESH" qualifier="immunology" xml:lang="en"><term>Diabetes Mellitus</term><term>Gram-Negative Bacteria</term><term>Gram-Positive Bacteria</term><term>Hyperglycemia</term><term>Jaw, Edentulous</term><term>Prediabetic State</term></keywords><keywords scheme="MESH" qualifier="microbiologie" xml:lang="fr"><term>Maladies parodontales</term></keywords><keywords scheme="MESH" qualifier="microbiology" xml:lang="en"><term>Periodontal Diseases</term></keywords><keywords scheme="MESH" qualifier="sang" xml:lang="fr"><term>Anticorps antibactériens</term><term>Diabète</term><term>Hyperglycémie</term><term>Immunoglobuline G</term><term>Insuline</term><term>Mâchoire édentée</term><term>État prédiabétique</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Adult</term><term>Cross-Sectional Studies</term><term>Fasting</term><term>Female</term><term>Humans</term><term>Male</term><term>Middle Aged</term><term>Nutrition Surveys</term></keywords><keywords scheme="MESH" xml:lang="fr"><term>Adulte</term><term>Adulte d'âge moyen</term><term>Enquêtes nutritionnelles</term><term>Femelle</term><term>Humains</term><term>Jeûne</term><term>Mâle</term><term>Études transversales</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">We conducted a cross-sectional analysis to evaluate the relationship between serum antibody titers against 19 selected oral microorganisms and measures of hyperglycemia in a large, nationally representative data set. The study population consisted of 7,848 participants from the National Health and Nutrition Examination Survey III (1988-1994) who were at least 40 yrs old, with complete serum IgG antibody data against 19 oral microorganisms. The 19 antibody titers were grouped into 4 categories via cluster analysis--orange-red, yellow-orange, orange-blue, and red-green--named to reflect predominant antibody titers against microorganisms in Socransky's classification scheme for oral microbes. Linear regression models weighted for complex survey design were used in which fasting blood glucose, fasting insulin, and HbA1c were outcomes and antibody cluster scores were exposures, adjusting for potential confounders. Higher orange-red cluster scores were associated with increased hyperglycemia, while higher orange-blue cluster scores were related with decreased hyperglycemia. A 1-unit-higher orange-red cluster score was associated with 0.46 mg/dL higher fasting blood glucose (p = .0038), and a 1-unit-higher orange-blue cluster score was associated with 0.34% lower HbA1c (p = .0257). Groups of antibody titers against periodontal microorganisms were associated with hyperglycemia independent of known risk factors.</div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">24943202</PMID><DateCompleted><Year>2016</Year><Month>08</Month><Day>02</Day></DateCompleted><DateRevised><Year>2017</Year><Month>11</Month><Day>16</Day></DateRevised><Article PubModel="Print-Electronic"><Journal><ISSN IssnType="Electronic">1544-0591</ISSN><JournalIssue CitedMedium="Internet"><Volume>93</Volume><Issue>8</Issue><PubDate><Year>2014</Year><Month>Aug</Month></PubDate></JournalIssue><Title>Journal of dental research</Title><ISOAbbreviation>J. Dent. Res.</ISOAbbreviation></Journal><ArticleTitle>Association between Serum Antibodies to Oral Microorganisms and Hyperglycemia in Adults.</ArticleTitle><Pagination><MedlinePgn>752-9</MedlinePgn></Pagination><ELocationID EIdType="doi" ValidYN="Y">10.1177/0022034514538451</ELocationID><Abstract><AbstractText>We conducted a cross-sectional analysis to evaluate the relationship between serum antibody titers against 19 selected oral microorganisms and measures of hyperglycemia in a large, nationally representative data set. The study population consisted of 7,848 participants from the National Health and Nutrition Examination Survey III (1988-1994) who were at least 40 yrs old, with complete serum IgG antibody data against 19 oral microorganisms. The 19 antibody titers were grouped into 4 categories via cluster analysis--orange-red, yellow-orange, orange-blue, and red-green--named to reflect predominant antibody titers against microorganisms in Socransky's classification scheme for oral microbes. Linear regression models weighted for complex survey design were used in which fasting blood glucose, fasting insulin, and HbA1c were outcomes and antibody cluster scores were exposures, adjusting for potential confounders. Higher orange-red cluster scores were associated with increased hyperglycemia, while higher orange-blue cluster scores were related with decreased hyperglycemia. A 1-unit-higher orange-red cluster score was associated with 0.46 mg/dL higher fasting blood glucose (p = .0038), and a 1-unit-higher orange-blue cluster score was associated with 0.34% lower HbA1c (p = .0257). Groups of antibody titers against periodontal microorganisms were associated with hyperglycemia independent of known risk factors.</AbstractText><CopyrightInformation>© International & American Associations for Dental Research.</CopyrightInformation></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Merchant</LastName><ForeName>A T</ForeName><Initials>AT</Initials><AffiliationInfo><Affiliation>Department of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia, USA merchant@mailbox.sc.edu.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Shrestha</LastName><ForeName>D</ForeName><Initials>D</Initials><AffiliationInfo><Affiliation>Department of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia, USA.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Chaisson</LastName><ForeName>C</ForeName><Initials>C</Initials><AffiliationInfo><Affiliation>Undergraduate Program in Public Health, Arnold School of Public Health, University of South Carolina, Columbia, USA.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Choi</LastName><ForeName>Y H</ForeName><Initials>YH</Initials><AffiliationInfo><Affiliation>Department of Preventive Dentistry, School of Dentistry, Kyungpook National University, South Korea.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Hazlett</LastName><ForeName>L J</ForeName><Initials>LJ</Initials><AffiliationInfo><Affiliation>Department of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia, USA.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Zhang</LastName><ForeName>J</ForeName><Initials>J</Initials><AffiliationInfo><Affiliation>Department of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia, USA.</Affiliation></AffiliationInfo></Author></AuthorList><Language>eng</Language><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType><PublicationType UI="D013485">Research Support, Non-U.S. Gov't</PublicationType></PublicationTypeList><ArticleDate DateType="Electronic"><Year>2014</Year><Month>06</Month><Day>18</Day></ArticleDate></Article><MedlineJournalInfo><Country>United States</Country><MedlineTA>J Dent Res</MedlineTA><NlmUniqueID>0354343</NlmUniqueID><ISSNLinking>0022-0345</ISSNLinking></MedlineJournalInfo><ChemicalList><Chemical><RegistryNumber>0</RegistryNumber><NameOfSubstance UI="D000907">Antibodies, Bacterial</NameOfSubstance></Chemical><Chemical><RegistryNumber>0</RegistryNumber><NameOfSubstance UI="D001786">Blood Glucose</NameOfSubstance></Chemical><Chemical><RegistryNumber>0</RegistryNumber><NameOfSubstance UI="D006442">Glycated Hemoglobin A</NameOfSubstance></Chemical><Chemical><RegistryNumber>0</RegistryNumber><NameOfSubstance UI="D007074">Immunoglobulin G</NameOfSubstance></Chemical><Chemical><RegistryNumber>0</RegistryNumber><NameOfSubstance UI="D007328">Insulin</NameOfSubstance></Chemical></ChemicalList><CitationSubset>D</CitationSubset><CitationSubset>IM</CitationSubset><CommentsCorrectionsList><CommentsCorrections RefType="Cites"><RefSource>J Periodontol. 2013 Dec;84(12):e74-84</RefSource><PMID Version="1">23701010</PMID></CommentsCorrections><CommentsCorrections RefType="Cites"><RefSource>J Periodontal Res. 2012 Aug;47(4):470-8</RefSource><PMID Version="1">22220967</PMID></CommentsCorrections><CommentsCorrections RefType="Cites"><RefSource>J Periodontol. 2013 Jul;84(7):958-73</RefSource><PMID Version="1">23106512</PMID></CommentsCorrections><CommentsCorrections RefType="Cites"><RefSource>Eur J Epidemiol. 2009;24(5):217-24</RefSource><PMID Version="1">19330454</PMID></CommentsCorrections><CommentsCorrections 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Version="1">18582336</PMID></CommentsCorrections><CommentsCorrections RefType="Cites"><RefSource>J Clin Periodontol. 2010 Aug 1;37(8):685-96</RefSource><PMID Version="1">20561113</PMID></CommentsCorrections><CommentsCorrections RefType="Cites"><RefSource>J Clin Periodontol. 2013 Apr;40 Suppl 14:S153-63</RefSource><PMID Version="1">23627325</PMID></CommentsCorrections><CommentsCorrections RefType="Cites"><RefSource>Diabetes Care. 2012 Nov;35(11):2235-42</RefSource><PMID Version="1">22837370</PMID></CommentsCorrections><CommentsCorrections RefType="Cites"><RefSource>N Engl J Med. 2007 Nov 22;357(21):2189-94</RefSource><PMID Version="1">18032770</PMID></CommentsCorrections><CommentsCorrections RefType="Cites"><RefSource>JAMA. 2013 Dec 18;310(23):2523-32</RefSource><PMID Version="1">24346989</PMID></CommentsCorrections><CommentsCorrections RefType="Cites"><RefSource>J Periodontal Res. 2001 Feb;36(1):18-24</RefSource><PMID Version="1">11246700</PMID></CommentsCorrections><CommentsCorrections RefType="Cites"><RefSource>J Dent Res. 2012 Dec;91(12):1190-5</RefSource><PMID Version="1">23018816</PMID></CommentsCorrections></CommentsCorrectionsList><MeshHeadingList><MeshHeading><DescriptorName UI="D000328" MajorTopicYN="N">Adult</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D000907" MajorTopicYN="N">Antibodies, Bacterial</DescriptorName><QualifierName UI="Q000097" MajorTopicYN="Y">blood</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D001786" MajorTopicYN="N">Blood Glucose</DescriptorName><QualifierName UI="Q000032" MajorTopicYN="N">analysis</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D003430" MajorTopicYN="N">Cross-Sectional Studies</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D003920" MajorTopicYN="N">Diabetes Mellitus</DescriptorName><QualifierName UI="Q000097" MajorTopicYN="N">blood</QualifierName><QualifierName UI="Q000276" 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PubStatus="received"><Year>2014</Year><Month>03</Month><Day>06</Day></PubMedPubDate><PubMedPubDate PubStatus="accepted"><Year>2014</Year><Month>05</Month><Day>13</Day></PubMedPubDate><PubMedPubDate PubStatus="entrez"><Year>2014</Year><Month>6</Month><Day>20</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="pubmed"><Year>2014</Year><Month>6</Month><Day>20</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="medline"><Year>2016</Year><Month>8</Month><Day>3</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate></History><PublicationStatus>ppublish</PublicationStatus><ArticleIdList><ArticleId IdType="pubmed">24943202</ArticleId><ArticleId IdType="pii">0022034514538451</ArticleId><ArticleId IdType="doi">10.1177/0022034514538451</ArticleId><ArticleId IdType="pmc">PMC4293758</ArticleId></ArticleIdList></PubmedData></pubmed><affiliations><list><country><li>Corée du Sud</li><li>États-Unis</li></country></list><tree><country name="États-Unis"><noRegion><name sortKey="Merchant, A T" sort="Merchant, A T" uniqKey="Merchant A" first="A T" last="Merchant">A T Merchant</name></noRegion><name sortKey="Chaisson, C" sort="Chaisson, C" uniqKey="Chaisson C" first="C" last="Chaisson">C. Chaisson</name><name sortKey="Hazlett, L J" sort="Hazlett, L J" uniqKey="Hazlett L" first="L J" last="Hazlett">L J Hazlett</name><name sortKey="Shrestha, D" sort="Shrestha, D" uniqKey="Shrestha D" first="D" last="Shrestha">D. Shrestha</name><name sortKey="Zhang, J" sort="Zhang, J" uniqKey="Zhang J" first="J" last="Zhang">J. Zhang</name></country><country name="Corée du Sud"><noRegion><name sortKey="Choi, Y H" sort="Choi, Y H" uniqKey="Choi Y" first="Y H" last="Choi">Y H Choi</name></noRegion></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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