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      Association among serum and salivary A. actinomycetemcomitans specific immunoglobulin antibodies and periodontitis

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          Abstract

          Background

          The aim of this study was to assess the association between serum and salivary Immunoglobulin (Ig) Aggregatibacter actinomycetemcomitans ( A. actinomycetemcomitans) specific antibodies in healthy controls (HC) and periodontitis (PT) patients. Furthermore, the objectives were to determine whether PT influenced serum A. actinomycetemcomitans specific antibodies and whether serum or salivary antibodies against A. actinomycetemcomitans IgG were mediated by serum high-sensitivity c-reactive protein (hs-CRP).

          Methods

          Fifty-three patients with periodontitis and 48 HC were enrolled in the present study. Patients were regularly examined and characterized by clinical, salivary and blood samples analyses. A. actinomycetemcomitans IgA and IgG antibodies and hs-CRP were evaluated using a commercially available kit. The Spearman Correlation Test and Jonckheere-Terpstra Test were applied in order to assess the interdependence between serum A. actinomycetemcomitans IgG antibodies and clinical periodontal parameters. To evaluate the dependence of the serum and salivary A. actinomycetemcomitans IgG levels from possible confounders, univariate and multivariable linear regression analyses were performed.

          Results

          Compared to HC, patients with PT had significantly higher IgA [serum: PT, 1.89 (1.2–2.2) EU vs HC, 1.37 (0.9–1.8) EU ( p = 0.022); saliva: PT, 1.67 (1.4–2.1) EU vs HC, 1.42 (0.9–1.6) EU ( p = 0.019)] and A. actinomycetemcomitans IgG levels [serum: PT, 2.96 (2.1–3.7) EU vs HC, 2.18 (1.8–2.1) EU ( p < 0.001); saliva, PT, 2.19 (1.8–2.5) EU vs HC, 1.84 (1.4–2) EU ( p = 0.028)]. In PT patients, serum A. actinomycetemcomitans IgG were associated with a proportional extent of PT and tooth loss (P-trend value< 0.001). The univariate regression analysis demonstrated that PT ( p = 0.013) and high hs-CRP ( p < 0.001) had a significant negative effect on serum and salivary A. actinomycetemcomitans IgG levels. The multivariate regression analysis showed that PT ( p = 0.033), hs-CRP ( p = 0.014) and BMI ( p = 0.017) were significant negative predictors of serum A. actinomycetemcomitans IgG while hs-CRP (p < 0.001) and BMI ( P = 0.025) were significant negative predictors of salivary A. actinomycetemcomitans IgG.

          Conclusions

          PT patients presented a significantly higher serum and salivary A. actinomycetemcomitans IgA and IgG compared to HC. There was a significant increase in serum A. actinomycetemcomitans IgG when patients presented a progressive extent of PT. Moreover, PT and hs-CRP were significant negative predictors of increased salivary and serum A. actinomycetemcomitans IgG levels.

          Trial registration

          The study was retrospectively registered at clinicaltrials.gov ( NCT04417322).

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          Most cited references54

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          Staging and grading of periodontitis: Framework and proposal of a new classification and case definition

          Authors were assigned the task to develop case definitions for periodontitis in the context of the 2017 World Workshop on the Classification of Periodontal and Peri-Implant Diseases and Conditions. The aim of this manuscript is to review evidence and rationale for a revision of the current classification, to provide a framework for case definition that fully implicates state-of-the-art knowledge and can be adapted as new evidence emerges, and to suggest a case definition system that can be implemented in clinical practice, research and epidemiologic surveillance.
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            Evaluation of salivary and serum ADMA levels in patients with periodontal and cardiovascular disease as subclinical marker of cardiovascular risk

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              Lifestyle and periodontitis: The emergence of personalized periodontics.

              Personalized medicine is a medical model that involves the tailoring of healthcare - with medical decisions, practices, and/or products being customized to an individual patient. In this model, diagnostic testing is often employed for selecting appropriate and optimal therapies based on the context of a patient's genetic content or other epidemiologic, sociologic, molecular, physiologic, or cellular analyses. With the advent of major advances in periodontal medicine, including genomic discoveries and greater understanding of the multifactorial nature of periodontitis, it seems that the time is ripe to use personalized medicine as a model for personalized periodontics. This volume of Periodontology 2000 explores how new advances in our understanding of periodontitis within a medical model can evolve into new treatment strategies tailor-made for individual patients and not merely based on wholesale treatment paradigms.
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                Author and article information

                Contributors
                gaetano.isola@unit.it
                alexpoli345@gmail.com
                romeo.patini@unicatt.it
                sferlito@unict.it
                alibrandi@unime.it
                gpalazzo@unict.it
                Journal
                BMC Oral Health
                BMC Oral Health
                BMC Oral Health
                BioMed Central (London )
                1472-6831
                15 October 2020
                15 October 2020
                2020
                : 20
                : 283
                Affiliations
                [1 ]GRID grid.8158.4, ISNI 0000 0004 1757 1969, Department of General Surgery and Surgical-Medical Specialties, School of Dentistry, , University of Catania, ; Via S. Sofia 78, 95124 Catania, Italy
                [2 ]GRID grid.8142.f, ISNI 0000 0001 0941 3192, Fondazione Policlinico Universitario A. Gemelli IRCCS, Institute of Dentistry and Maxillofacial Surgery, , Università Cattolica del Sacro Cuore, ; 00168 Rome, Italy
                [3 ]GRID grid.10438.3e, ISNI 0000 0001 2178 8421, Department of Economical, Business and Environmental Sciences and Quantitative Methods, , University of Messina, ; Messina, Italy
                Author information
                http://orcid.org/0000-0003-4267-6992
                Article
                1258
                10.1186/s12903-020-01258-5
                7565341
                0f316151-07d9-4412-a5d5-092736470eb2
                © The Author(s) 2020

                Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

                History
                : 8 June 2020
                : 21 September 2020
                Categories
                Research Article
                Custom metadata
                © The Author(s) 2020

                Dentistry
                Dentistry

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