Title

Proteomic signature of periodontal disease in pregnancy: Predictive validity for adverse outcomes 

Authors

Manisha Ramchandani^1*, Muniza Siddiqui¹, Raveena Kanwar¹, Manwinder Lakha¹, Linda Phi¹, Luca Giacomelli², Francesco Chiappelli¹

Affiliation

¹Division of Oral Biology & Medicine, UCLA School of Dentistry, CHS 63-090, Los Angeles, CA 90095-1668; ²Institute for Stomatology Research, Lido di Camaiore, Italy 

Email

rmanisha@ucla.edu

Article Type

Prediction model

Date

Received November 11, 2010; Accepted November 17, 2010; Published January 06, 2011
 

The rate of preterm birth is a public health concern worldwide because it is increasing and efforts to prevent it have failed. We report a Clinically Relevant Complex Systematic Review (CSCSR) designed to identify and evaluate the best available evidence in support of the association between periodontal status in women and pregnancy outcome of preterm low birth weight. We hypothesize that the traditional limits of research synthesis must be expanded to incorporate a translational component. As a proof-of-concept model, we propose that this CSCSR can yield greater validity of efficacy and effectiveness through supplementing its recommendations with data of the proteomic signature of periodontal disease in pregnancy, which can contribute to addressing specifically the predictive validity for adverse outcomes. For this CRCSR, systematic reviews were identified through The National Library of Medicine-Pubmed, The Cochrane library, CINAHL, Google Scholar, Web of Science, and the American Dental Association web library. Independent reviewers quantified the relevance and quality of this literature with R-AMSTAR. Homogeneity and inter-rater reliability testing were supplemented with acceptable sampling analysis. Research synthesis outcomes were analyzed qualitatively toward a Bayesian inference, and converge to demonstrate a definite association between maternal periodontal disease and pregnancy outcome. This CRCSR limits heterogeneity in terms of periodontal disease, outcome measure, selection bias, uncontrolled confounders and effect modifiers. Taken together, the translational CRCSR model we propose suggests that further research is advocated to explore the fundamental mechanisms underlying this association, from a molecular and proteomic perspective.  

Keywords

proteomic signature of periodontal disease, pregnancy, adverse pregnancy outcome, pregnancy complications, preterm, systematic review, clinically relevant complex systematic review (CSCSR), meta-analysis 

Citation

Ramchandani et al. Bioinformation 5(7): 300-303 (2011)

Edited by

Francesco chiappelli

ISSN

0973-2063

Publisher

Biomedical Informatics

License

This is an Open Access article which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. This is distributed under the terms of the Creative Commons Attribution License.