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Projects source: E-CRIS

Interraction of etiopathogenetic mechanisms of periodontal disease and periimplantitis with the systemic disorders of the present day

Research activity

Code Science Field
B110  Biomedical sciences  Bioinformatics, medical informatics, biomathematics biometrics 
B730  Biomedical sciences  Odontology, stomatology 
Keywords
Periodontal disease, periimplantitis, inflannation, diabetes, neuroinflammation, algorithm
Organisations (4) , Researchers (1)
0015  University of Belgrade, Faculty of Dental Medicine
no. Code Name and surname Research area Role Period No. of publicationsNo. of publications
1.  00726  Vojislav Leković  Odontology, stomatology  Head  2011 - 2019  76 
0018  University of Belgrade, Faculty of Medicine
0019  University of Belgrade, Faculty of Organizational Sciences
0097  University of Belgrade, Institute for Biological Research "Siniša Stanković" - National Institute of the Republic of Serbia
Abstract
Periodontal disease is a chronic inflammatory disease of tooth supporting structures, caused by periodontal pathogenic mechanisms. Periimplantitis is the same type of the disease by its mechanism, affecting periimplant tissue, and leading to bone and implant loss. These diseases belong to a group of inflammatory and autoimmune diseases, which are the representatives of the diseases of the present day, including also cardiovascular diseases, metabolic disorders, neuro-degenerative disease, etc. The studies have shown a correlation between these diseases. A multifactor nature of the listed diseases assumes recording of a huge number of data and parameters, demanding a highly precise information analysis and generation, which could be accomplished by development of a sophisticated software system as a part of decision making support. Such a system would have a capability of cross-sectional analysis of a large number of data, hidden knowledge discovery, established correlations’ memorizing, and self-improvement for further investigations. The synthesis of medical sciences with social-technological sciences is a vital and logical concept for the above-mentioned multifactor diseases analysis. The aim of the project is to investigate the above-mentioned interactions, on a molecular and clinical level, aiming to provide with essential data on cellular and molecular mechanism of the diseases, as well as to improve their prevention, prognosis and therapy.
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