Document Detail


Pregnancy-Induced Gingivitis and OMICS in Dentistry: In Silico Modeling and in Vivo Prospective Validation of Estradiol-Modulated Inflammatory Biomarkers.
MedLine Citation:
PMID:  24983467     Owner:  NLM     Status:  Publisher    
Abstract/OtherAbstract:
Abstract Pregnancy-associated gingivitis is a bacterial-induced inflammatory disease with a remarkably high prevalence ranging from 35% to 100% across studies. Yet little is known about the attendant mechanisms or diagnostic biomarkers that can help predict individual susceptibility for rational personalized medicine. We aimed to define inflammatory proteins in saliva, induced or inhibited by estradiol, as early diagnostic biomarkers or target proteins in relation to pregnancy-associated gingivitis. An in silico gene/protein interaction network model was developed by using the STITCH 3.1 with "experiments" and "databases" as input options and a confidence score of 0.700 (high confidence). Salivary estradiol, interleukin (IL)-1β and -8, myeloperoxidase (MPO), matrix metalloproteinase (MMP)-2, -8, and -9, and tissue inhibitor of matrix metalloproteinase (TIMP)-1 levels from 30 women were measured prospectively three times during pregnancy and twice during postpartum. In silico analysis revealed that estradiol interacts with IL-1β and -8 by an activation link when the "actions view" was consulted. In saliva, estradiol concentrations associated positively with TIMP-1 and negatively with MPO and MMP-8 concentrations. When the gingival bleeding on probing percentage (BOP%) was included in the model as an effect modifier, the only association, a negative one, was found between estradiol and MMP-8. Throughout gestation, estradiol modulates the inflammatory response by inhibiting neutrophilic enzymes, such as MMP-8. The interactions between salivary degradative enzymes and proinflammatory cytokines during pregnancy suggest promising ways to identify candidate biomarkers for pregnancy-associated gingivitis, and for personalized medicine in the field of dentistry. Finally, we call for greater investments in, and action for biomarker research in periodontology and dentistry that have surprisingly lagged behind in personalized medicine compared to other fields, such as cancer research.
Authors:
Mervi Gürsoy; Fares Zeidán-Chuliá; Eija Könönen; José C F Moreira; Joonas Liukkonen; Timo Sorsa; Ulvi K Gürsoy
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Publication Detail:
Type:  JOURNAL ARTICLE     Date:  2014-7-1
Journal Detail:
Title:  Omics : a journal of integrative biology     Volume:  -     ISSN:  1557-8100     ISO Abbreviation:  OMICS     Publication Date:  2014 Jul 
Date Detail:
Created Date:  2014-7-1     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  101131135     Medline TA:  OMICS     Country:  -    
Other Details:
Languages:  ENG     Pagination:  -     Citation Subset:  -    
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