The Experts below are selected from a list of 324 Experts worldwide ranked by ideXlab platform
Moise Desvarieux - One of the best experts on this subject based on the ideXlab platform.
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bleeding on probing differentially relates to bacterial profiles the oral infections and vascular Disease Epidemiology study
Journal of Clinical Periodontology, 2008Co-Authors: Ryan T Demmer, Panos N Papapanou, Moise Desvarieux, David R JacobsAbstract:Aim: Various bacterial species are differentially prevalent in periodontal health, gingivitis or periodontitis. We tested the independent associations between three bacterial groupings and gingival inflammation in an epidemiological study. Material and Methods: In 706 Oral Infections and Vascular Disease Epidemiology Study (INVEST) participants 55 years, bleeding on probing (BoP), pocket depth (PD) and subgingival plaque samples (n=4866) were assessed in eight sites per mouth. Eleven bacterial species were quantitatively assayed and grouped as follows: (i) aetiologic burden (EB, Aggregatibacter actinomycetemcomitans, Porphyromonas gingivalis, Treponema denticola, Tannerella forsythia); (ii) putative burden (PB, Campylobacter rectus, Eikenella corrodens, Fusobacterium nucleatum, Micromonas micros, Prevotella intermedia); (iii) health-associated burden (HAB, Actinomyces naeslundii, Veillonella parvula). Results: After mutual adjustment for EB, PB and HAB, the BoP prevalence increased by 45% ( p<0.0001) across increasing quartiles of EB while BoP decreased by 13% ( p<0.0001) across increasing quartiles of HAB. Mean PD increased 0.8 mm and decreased 0.3 mm from the first to fourth quartiles of EB (p<0.0001) and HAB ( p<0.0001), respectively. Among 1214 plaque samples with fourth quartile EB, 60% were collected from sites with PD 3 mm. Conclusion: Bacterial species believed to be aetiologically related to periodontitis were associated with BoP in sites with minimal PD and/or attachment level (AL). Species presumed to be associated with periodontal health demonstrated inverse associations with BoP.
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Bleeding on probing differentially relates to bacterial profiles : the Oral Infections and Vascular Disease Epidemiology Study
Journal of Clinical Periodontology, 2008Co-Authors: Ryan T Demmer, Panos N Papapanou, David R Jacobs, Moise DesvarieuxAbstract:Aim: Various bacterial species are differentially prevalent in periodontal health, gingivitis or periodontitis. We tested the independent associations between three bacterial groupings and gingival inflammation in an epidemiological study. Material and Methods: In 706 Oral Infections and Vascular Disease Epidemiology Study (INVEST) participants 55 years, bleeding on probing (BoP), pocket depth (PD) and subgingival plaque samples (n=4866) were assessed in eight sites per mouth. Eleven bacterial species were quantitatively assayed and grouped as follows: (i) aetiologic burden (EB, Aggregatibacter actinomycetemcomitans, Porphyromonas gingivalis, Treponema denticola, Tannerella forsythia); (ii) putative burden (PB, Campylobacter rectus, Eikenella corrodens, Fusobacterium nucleatum, Micromonas micros, Prevotella intermedia); (iii) health-associated burden (HAB, Actinomyces naeslundii, Veillonella parvula). Results: After mutual adjustment for EB, PB and HAB, the BoP prevalence increased by 45% ( p
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periodontal microbiota and carotid intima media thickness the oral infections and vascular Disease Epidemiology study invest
Circulation, 2005Co-Authors: Moise Desvarieux, Ryan T Demmer, David R Jacobs, Tatjana Rundek, Bernadette Bodenalbala, Ralph L Sacco, Panos N PapapanouAbstract:Background— Chronic infections, including periodontal infections, may predispose to cardiovascular Disease. We investigated the relationship between periodontal microbiota and subclinical atherosclerosis. Methods and Results— Of 1056 persons (age 69±9 years) with no history of stroke or myocardial infarction enrolled in the Oral Infections and Vascular Disease Epidemiology Study (INVEST), we analyzed 657 dentate subjects. Among these subjects, 4561 subgingival plaque samples were collected (average of 7 samples/subject) and quantitatively assessed for 11 known periodontal bacteria by DNA-DNA checkerboard hybridization. Extensive in-person cardiovascular risk factor measurements, a carotid scan with high-resolution B-mode ultrasound, white blood cell count, and C-reactive protein values were obtained. In 3 separate analyses, mean carotid artery intima-media thickness (IMT) was regressed on tertiles of (1) burden of all bacteria assessed, (2) burden of bacteria causative of periodontal Disease (etiologic ba...
Josh Hanna - One of the best experts on this subject based on the ideXlab platform.
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the apollo structured vocabulary an owl2 ontology of phenomena in infectious Disease Epidemiology and population biology for use in epidemic simulation
Journal of Biomedical Semantics, 2016Co-Authors: William R Hogan, Michael M Wagner, John Levander, Nicholas Millett, Jay V. Depasse, Shawn T. Brown, Mathias Brochhausen, Josh HannaAbstract:Background We developed the Apollo Structured Vocabulary (Apollo-SV)—an OWL2 ontology of phenomena in infectious Disease Epidemiology and population biology—as part of a project whose goal is to increase the use of epidemic simulators in public health practice. Apollo-SV defines a terminology for use in simulator configuration. Apollo-SV is the product of an ontological analysis of the domain of infectious Disease Epidemiology, with particular attention to the inputs and outputs of nine simulators.
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The Apollo Structured Vocabulary: an OWL2 ontology of phenomena in infectious Disease Epidemiology and population biology for use in epidemic simulation
Journal of Biomedical Semantics, 2016Co-Authors: William R Hogan, Michael M Wagner, John Levander, Nicholas Millett, Jay V. Depasse, Shawn T. Brown, Mathias Brochhausen, Josh HannaAbstract:Background We developed the Apollo Structured Vocabulary (Apollo-SV)—an OWL2 ontology of phenomena in infectious Disease Epidemiology and population biology—as part of a project whose goal is to increase the use of epidemic simulators in public health practice. Apollo-SV defines a terminology for use in simulator configuration. Apollo-SV is the product of an ontological analysis of the domain of infectious Disease Epidemiology, with particular attention to the inputs and outputs of nine simulators. Results Apollo-SV contains 802 classes for representing the inputs and outputs of simulators, of which approximately half are new and half are imported from existing ontologies. The most important Apollo-SV class for users of simulators is infectious Disease scenario , which is a representation of an ecosystem at simulator time zero that has at least one infection process (a class) affecting at least one population (also a class). Other important classes represent ecosystem elements (e.g., households), ecosystem processes (e.g., infection acquisition and infectious Disease), censuses of ecosystem elements (e.g., censuses of populations), and infectious Disease control measures. In the larger project, which created an end-user application that can send the same infectious Disease scenario to multiple simulators, Apollo-SV serves as the controlled terminology and strongly influences the design of the message syntax used to represent an infectious Disease scenario. As we added simulators for different pathogens (e.g., malaria and dengue), the core classes of Apollo-SV have remained stable, suggesting that our conceptualization of the information required by simulators is sound. Despite adhering to the OBO Foundry principle of orthogonality, we could not reuse Infectious Disease Ontology classes as the basis for infectious Disease scenarios. We thus defined new classes in Apollo-SV for host, pathogen, infection, infectious Disease, colonization, and infection acquisition. Unlike IDO, our ontological analysis extended to existing mathematical models of key biological phenomena studied by infectious Disease Epidemiology and population biology. Conclusion Our ontological analysis as expressed in Apollo-SV was instrumental in developing a simulator-independent representation of infectious Disease scenarios that can be run on multiple epidemic simulators. Our experience suggests the importance of extending ontological analysis of a domain to include existing mathematical models of the phenomena studied by the domain. Apollo-SV is freely available at: http://purl.obolibrary.org/obo/apollo_sv.owl .
David R Jacobs - One of the best experts on this subject based on the ideXlab platform.
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periodontal microbiota and phospholipases the oral infections and vascular Disease Epidemiology study invest
Atherosclerosis, 2015Co-Authors: Adrien Boillot, Ryan T Demmer, David R Jacobs, Ralph L Sacco, Ziad Mallat, Joelle Benessiano, Alain Tedgui, Tatjana RundekAbstract:Abstract Objective Periodontal infections have been linked to cardiovascular Disease, including atherosclerosis, and systemic inflammation has been proposed as a possible mediator. Secretory phospholipase A2 (s-PLA2) and Lipoprotein-associated PLA2 (Lp-PLA2) are inflammatory enzymes associated with atherosclerosis. No data are available on the association between oral microbiota and PLA2s. We studied whether a relationship exists between periodontal microbiota and the activities of these enzymes. Methods The Oral Infection and Vascular Disease Epidemiology Study (INVEST) collected subgingival biofilms and serum samples from 593 dentate men and women (age 68.7 ± 8.6 years). 4561 biofilm samples were collected in the two most posterior teeth of each quadrant (average 7/participant) for quantitative assessment of 11 bacterial species using DNA–DNA checkerboard hybridization. Mean concentration of s-PLA2 and activities of s-PLA2 and Lp-PLA2 were regressed on tertiles of etiologic dominance (ED). ED is defined as the level of presumed periodontopathic species/combined level of all eleven species measured, and represents the relative abundance of periodontopathic organisms. Analyses were adjusted for age, sex, race/ethnicity, education, smoking, BMI, diabetes, LDL cholesterol and HDL cholesterol, and systolic blood pressure. Results Higher levels of s-PLA2 activity were observed across increasing tertiles of etiologic dominance (0.66 ± 0.04 nmol ml −1 min −1 , 0.73 ± 0.04 nmol ml −1 min −1 , 0.89 ± 0.04 nmol ml−1 min−1; p Conclusion Increasingly greater s-PLA2 activity at higher tertiles of etiologic dominance may provide a mechanistic explanatory link of the relationship between periodontal microbiota and vascular Diseases. Additional studies investigating the role of s-PLA2 are needed.
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bleeding on probing differentially relates to bacterial profiles the oral infections and vascular Disease Epidemiology study
Journal of Clinical Periodontology, 2008Co-Authors: Ryan T Demmer, Panos N Papapanou, Moise Desvarieux, David R JacobsAbstract:Aim: Various bacterial species are differentially prevalent in periodontal health, gingivitis or periodontitis. We tested the independent associations between three bacterial groupings and gingival inflammation in an epidemiological study. Material and Methods: In 706 Oral Infections and Vascular Disease Epidemiology Study (INVEST) participants 55 years, bleeding on probing (BoP), pocket depth (PD) and subgingival plaque samples (n=4866) were assessed in eight sites per mouth. Eleven bacterial species were quantitatively assayed and grouped as follows: (i) aetiologic burden (EB, Aggregatibacter actinomycetemcomitans, Porphyromonas gingivalis, Treponema denticola, Tannerella forsythia); (ii) putative burden (PB, Campylobacter rectus, Eikenella corrodens, Fusobacterium nucleatum, Micromonas micros, Prevotella intermedia); (iii) health-associated burden (HAB, Actinomyces naeslundii, Veillonella parvula). Results: After mutual adjustment for EB, PB and HAB, the BoP prevalence increased by 45% ( p<0.0001) across increasing quartiles of EB while BoP decreased by 13% ( p<0.0001) across increasing quartiles of HAB. Mean PD increased 0.8 mm and decreased 0.3 mm from the first to fourth quartiles of EB (p<0.0001) and HAB ( p<0.0001), respectively. Among 1214 plaque samples with fourth quartile EB, 60% were collected from sites with PD 3 mm. Conclusion: Bacterial species believed to be aetiologically related to periodontitis were associated with BoP in sites with minimal PD and/or attachment level (AL). Species presumed to be associated with periodontal health demonstrated inverse associations with BoP.
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Bleeding on probing differentially relates to bacterial profiles : the Oral Infections and Vascular Disease Epidemiology Study
Journal of Clinical Periodontology, 2008Co-Authors: Ryan T Demmer, Panos N Papapanou, David R Jacobs, Moise DesvarieuxAbstract:Aim: Various bacterial species are differentially prevalent in periodontal health, gingivitis or periodontitis. We tested the independent associations between three bacterial groupings and gingival inflammation in an epidemiological study. Material and Methods: In 706 Oral Infections and Vascular Disease Epidemiology Study (INVEST) participants 55 years, bleeding on probing (BoP), pocket depth (PD) and subgingival plaque samples (n=4866) were assessed in eight sites per mouth. Eleven bacterial species were quantitatively assayed and grouped as follows: (i) aetiologic burden (EB, Aggregatibacter actinomycetemcomitans, Porphyromonas gingivalis, Treponema denticola, Tannerella forsythia); (ii) putative burden (PB, Campylobacter rectus, Eikenella corrodens, Fusobacterium nucleatum, Micromonas micros, Prevotella intermedia); (iii) health-associated burden (HAB, Actinomyces naeslundii, Veillonella parvula). Results: After mutual adjustment for EB, PB and HAB, the BoP prevalence increased by 45% ( p
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periodontal microbiota and carotid intima media thickness the oral infections and vascular Disease Epidemiology study invest
Circulation, 2005Co-Authors: Moise Desvarieux, Ryan T Demmer, David R Jacobs, Tatjana Rundek, Bernadette Bodenalbala, Ralph L Sacco, Panos N PapapanouAbstract:Background— Chronic infections, including periodontal infections, may predispose to cardiovascular Disease. We investigated the relationship between periodontal microbiota and subclinical atherosclerosis. Methods and Results— Of 1056 persons (age 69±9 years) with no history of stroke or myocardial infarction enrolled in the Oral Infections and Vascular Disease Epidemiology Study (INVEST), we analyzed 657 dentate subjects. Among these subjects, 4561 subgingival plaque samples were collected (average of 7 samples/subject) and quantitatively assessed for 11 known periodontal bacteria by DNA-DNA checkerboard hybridization. Extensive in-person cardiovascular risk factor measurements, a carotid scan with high-resolution B-mode ultrasound, white blood cell count, and C-reactive protein values were obtained. In 3 separate analyses, mean carotid artery intima-media thickness (IMT) was regressed on tertiles of (1) burden of all bacteria assessed, (2) burden of bacteria causative of periodontal Disease (etiologic ba...
Ryan T Demmer - One of the best experts on this subject based on the ideXlab platform.
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periodontal microbiota and phospholipases the oral infections and vascular Disease Epidemiology study invest
Atherosclerosis, 2015Co-Authors: Adrien Boillot, Ryan T Demmer, David R Jacobs, Ralph L Sacco, Ziad Mallat, Joelle Benessiano, Alain Tedgui, Tatjana RundekAbstract:Abstract Objective Periodontal infections have been linked to cardiovascular Disease, including atherosclerosis, and systemic inflammation has been proposed as a possible mediator. Secretory phospholipase A2 (s-PLA2) and Lipoprotein-associated PLA2 (Lp-PLA2) are inflammatory enzymes associated with atherosclerosis. No data are available on the association between oral microbiota and PLA2s. We studied whether a relationship exists between periodontal microbiota and the activities of these enzymes. Methods The Oral Infection and Vascular Disease Epidemiology Study (INVEST) collected subgingival biofilms and serum samples from 593 dentate men and women (age 68.7 ± 8.6 years). 4561 biofilm samples were collected in the two most posterior teeth of each quadrant (average 7/participant) for quantitative assessment of 11 bacterial species using DNA–DNA checkerboard hybridization. Mean concentration of s-PLA2 and activities of s-PLA2 and Lp-PLA2 were regressed on tertiles of etiologic dominance (ED). ED is defined as the level of presumed periodontopathic species/combined level of all eleven species measured, and represents the relative abundance of periodontopathic organisms. Analyses were adjusted for age, sex, race/ethnicity, education, smoking, BMI, diabetes, LDL cholesterol and HDL cholesterol, and systolic blood pressure. Results Higher levels of s-PLA2 activity were observed across increasing tertiles of etiologic dominance (0.66 ± 0.04 nmol ml −1 min −1 , 0.73 ± 0.04 nmol ml −1 min −1 , 0.89 ± 0.04 nmol ml−1 min−1; p Conclusion Increasingly greater s-PLA2 activity at higher tertiles of etiologic dominance may provide a mechanistic explanatory link of the relationship between periodontal microbiota and vascular Diseases. Additional studies investigating the role of s-PLA2 are needed.
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bleeding on probing differentially relates to bacterial profiles the oral infections and vascular Disease Epidemiology study
Journal of Clinical Periodontology, 2008Co-Authors: Ryan T Demmer, Panos N Papapanou, Moise Desvarieux, David R JacobsAbstract:Aim: Various bacterial species are differentially prevalent in periodontal health, gingivitis or periodontitis. We tested the independent associations between three bacterial groupings and gingival inflammation in an epidemiological study. Material and Methods: In 706 Oral Infections and Vascular Disease Epidemiology Study (INVEST) participants 55 years, bleeding on probing (BoP), pocket depth (PD) and subgingival plaque samples (n=4866) were assessed in eight sites per mouth. Eleven bacterial species were quantitatively assayed and grouped as follows: (i) aetiologic burden (EB, Aggregatibacter actinomycetemcomitans, Porphyromonas gingivalis, Treponema denticola, Tannerella forsythia); (ii) putative burden (PB, Campylobacter rectus, Eikenella corrodens, Fusobacterium nucleatum, Micromonas micros, Prevotella intermedia); (iii) health-associated burden (HAB, Actinomyces naeslundii, Veillonella parvula). Results: After mutual adjustment for EB, PB and HAB, the BoP prevalence increased by 45% ( p<0.0001) across increasing quartiles of EB while BoP decreased by 13% ( p<0.0001) across increasing quartiles of HAB. Mean PD increased 0.8 mm and decreased 0.3 mm from the first to fourth quartiles of EB (p<0.0001) and HAB ( p<0.0001), respectively. Among 1214 plaque samples with fourth quartile EB, 60% were collected from sites with PD 3 mm. Conclusion: Bacterial species believed to be aetiologically related to periodontitis were associated with BoP in sites with minimal PD and/or attachment level (AL). Species presumed to be associated with periodontal health demonstrated inverse associations with BoP.
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Bleeding on probing differentially relates to bacterial profiles : the Oral Infections and Vascular Disease Epidemiology Study
Journal of Clinical Periodontology, 2008Co-Authors: Ryan T Demmer, Panos N Papapanou, David R Jacobs, Moise DesvarieuxAbstract:Aim: Various bacterial species are differentially prevalent in periodontal health, gingivitis or periodontitis. We tested the independent associations between three bacterial groupings and gingival inflammation in an epidemiological study. Material and Methods: In 706 Oral Infections and Vascular Disease Epidemiology Study (INVEST) participants 55 years, bleeding on probing (BoP), pocket depth (PD) and subgingival plaque samples (n=4866) were assessed in eight sites per mouth. Eleven bacterial species were quantitatively assayed and grouped as follows: (i) aetiologic burden (EB, Aggregatibacter actinomycetemcomitans, Porphyromonas gingivalis, Treponema denticola, Tannerella forsythia); (ii) putative burden (PB, Campylobacter rectus, Eikenella corrodens, Fusobacterium nucleatum, Micromonas micros, Prevotella intermedia); (iii) health-associated burden (HAB, Actinomyces naeslundii, Veillonella parvula). Results: After mutual adjustment for EB, PB and HAB, the BoP prevalence increased by 45% ( p
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periodontal microbiota and carotid intima media thickness the oral infections and vascular Disease Epidemiology study invest
Circulation, 2005Co-Authors: Moise Desvarieux, Ryan T Demmer, David R Jacobs, Tatjana Rundek, Bernadette Bodenalbala, Ralph L Sacco, Panos N PapapanouAbstract:Background— Chronic infections, including periodontal infections, may predispose to cardiovascular Disease. We investigated the relationship between periodontal microbiota and subclinical atherosclerosis. Methods and Results— Of 1056 persons (age 69±9 years) with no history of stroke or myocardial infarction enrolled in the Oral Infections and Vascular Disease Epidemiology Study (INVEST), we analyzed 657 dentate subjects. Among these subjects, 4561 subgingival plaque samples were collected (average of 7 samples/subject) and quantitatively assessed for 11 known periodontal bacteria by DNA-DNA checkerboard hybridization. Extensive in-person cardiovascular risk factor measurements, a carotid scan with high-resolution B-mode ultrasound, white blood cell count, and C-reactive protein values were obtained. In 3 separate analyses, mean carotid artery intima-media thickness (IMT) was regressed on tertiles of (1) burden of all bacteria assessed, (2) burden of bacteria causative of periodontal Disease (etiologic ba...
William R Hogan - One of the best experts on this subject based on the ideXlab platform.
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the apollo structured vocabulary an owl2 ontology of phenomena in infectious Disease Epidemiology and population biology for use in epidemic simulation
Journal of Biomedical Semantics, 2016Co-Authors: William R Hogan, Michael M Wagner, John Levander, Nicholas Millett, Jay V. Depasse, Shawn T. Brown, Mathias Brochhausen, Josh HannaAbstract:Background We developed the Apollo Structured Vocabulary (Apollo-SV)—an OWL2 ontology of phenomena in infectious Disease Epidemiology and population biology—as part of a project whose goal is to increase the use of epidemic simulators in public health practice. Apollo-SV defines a terminology for use in simulator configuration. Apollo-SV is the product of an ontological analysis of the domain of infectious Disease Epidemiology, with particular attention to the inputs and outputs of nine simulators.
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The Apollo Structured Vocabulary: an OWL2 ontology of phenomena in infectious Disease Epidemiology and population biology for use in epidemic simulation
Journal of Biomedical Semantics, 2016Co-Authors: William R Hogan, Michael M Wagner, John Levander, Nicholas Millett, Jay V. Depasse, Shawn T. Brown, Mathias Brochhausen, Josh HannaAbstract:Background We developed the Apollo Structured Vocabulary (Apollo-SV)—an OWL2 ontology of phenomena in infectious Disease Epidemiology and population biology—as part of a project whose goal is to increase the use of epidemic simulators in public health practice. Apollo-SV defines a terminology for use in simulator configuration. Apollo-SV is the product of an ontological analysis of the domain of infectious Disease Epidemiology, with particular attention to the inputs and outputs of nine simulators. Results Apollo-SV contains 802 classes for representing the inputs and outputs of simulators, of which approximately half are new and half are imported from existing ontologies. The most important Apollo-SV class for users of simulators is infectious Disease scenario , which is a representation of an ecosystem at simulator time zero that has at least one infection process (a class) affecting at least one population (also a class). Other important classes represent ecosystem elements (e.g., households), ecosystem processes (e.g., infection acquisition and infectious Disease), censuses of ecosystem elements (e.g., censuses of populations), and infectious Disease control measures. In the larger project, which created an end-user application that can send the same infectious Disease scenario to multiple simulators, Apollo-SV serves as the controlled terminology and strongly influences the design of the message syntax used to represent an infectious Disease scenario. As we added simulators for different pathogens (e.g., malaria and dengue), the core classes of Apollo-SV have remained stable, suggesting that our conceptualization of the information required by simulators is sound. Despite adhering to the OBO Foundry principle of orthogonality, we could not reuse Infectious Disease Ontology classes as the basis for infectious Disease scenarios. We thus defined new classes in Apollo-SV for host, pathogen, infection, infectious Disease, colonization, and infection acquisition. Unlike IDO, our ontological analysis extended to existing mathematical models of key biological phenomena studied by infectious Disease Epidemiology and population biology. Conclusion Our ontological analysis as expressed in Apollo-SV was instrumental in developing a simulator-independent representation of infectious Disease scenarios that can be run on multiple epidemic simulators. Our experience suggests the importance of extending ontological analysis of a domain to include existing mathematical models of the phenomena studied by the domain. Apollo-SV is freely available at: http://purl.obolibrary.org/obo/apollo_sv.owl .