ROLE OF BIOMARKERS AS A DIAGNOSTIC СRITERIA DURING PERIODONTAL AND PERIIMPLANT PATHOLOGIES EVALUATION
Ключові слова:
peri-implantitis, periodontitis, biomarkers, diagnostic roleАнотація
Biomarkers can be described as substances, which can help to assess the adequacy of ongoing biological or pathological processes, and assist to evaluate appropriate pharmacological response during complex treatment. Due to the high prevalence of periodontal and implant associated lesions this article is devoted to the study of specific biomarkers peculiar to these pathologies that can be verified in the biological material from oral cavity, such as biochemical (Cystatins, α-glucosidase, Acid phosphatase, Alkaline phosphatase, Aminopeptidase, Lactoferrin, Translactoferrin, IgM, MMP-13, MMP-8, MMP-9), genetic (Cathepsin C genemutation, Collagen gene mutation, IL-1 polymorphisms, IL-10 polymorphisms, Tumor necrosis factor) and microbial (Aggregatibacter actinomycetemcomitans,Campylobacter rectus, Mycoplasmas, Porphyromonas gingivalis, Prevotella intermedia, Peptostreptococcus icros etc.) biomarkers that are systematized in this article. Also, the role of biomarkers associated with the periodontal and periimplant pathologies that was found in works of other researchers are described in discussion section of the article. The question of clinically-associated and reliable diagnostic biomarkers selection in terms of assessing periimplant or periodontal pathologies remains open in dental science and practice. Relevant biological agents should provide not only confirmation of clinically diagnosed periodontitis or peri-implantitis, but also serve as criteria for evaluating quality of the iatrogenic interventions, and provides prognostic risk assessment pathology occurrence with the definition of related clinically significant diagnostic parameters.
Посилання
Mombelli A., Müller N., Cionca N. The epidemiology of peri‐ implantitis //Clinical Oral Implants Research. – 2012. – Т. 23. – №. s6. – С. 67-76.
Derks J., Tomasi C. Peri‐ implant health and disease. A systematic review of current epidemiology //Journal of clinical periodontology. – 2015. – Т. 42. – №. S16.
Eke P. I. et al. Update on prevalence of periodontitis in adults in the United States: NHANES 2009 to 2012 //Journal of periodontology. – 2015. – Т. 86. – №. 5. – С. 611-622.
Albandar J. M. Underestimation of periodontitis in NHANES surveys //Journal of periodontology. – 2011. – Т. 82. – №. 3. – С. 337-341.
Miller C. S. et al. Salivary biomarkers of existing periodontal disease: a cross-sectional study //The Journal of the American Dental Association. – 2006. – Т. 137. – №. 3. – С. 322-329.
Kathariya R., Pradeep A. R. Salivary proteomic biomarkers for oral diseases: a review of literature //Arch Oral Sci Res. – 2010. – Т. 1. – №. 1. – С. 43-9.
Taba Jr M. et al. Diagnostic biomarkers for oral and periodontal diseases //Dental Clinics of North America. – 2005. – Т. 49. – №. 3. – С. 551.
Fitzsimmons T. R. et al. Local and systemic biomarkers in gingival crevicular fluid increase odds of periodontitis //Journal of clinical periodontology. – 2010. – Т. 37. – №. 1. – С. 30-36.
AlRowis R. et al. Oral fluid-based biomarkers in periodontal disease–Part 2. Gingival crevicular fluid //Journal of international oral health: JIOH. – 2014. – Т. 6. – №. 5. – С. 126.
Teles R. et al. Relationships among gingival crevicular fluid biomarkers, clinical parameters of periodontal disease, and the subgingival microbiota //Journal of periodontology. – 2010. – Т. 81. – №. 1. – С. 89-98.
Baliban R. C. et al. Novel protein identification methods for biomarker discovery via a proteomic analysis of periodontally healthy and diseased gingival crevicular fluid samples //Journal of clinical periodontology. – 2012. – Т. 39. – №. 3. – С. 203-212.
Choi Y. J. et al. Identification of azurocidin as a potential periodontitis biomarker by a proteomic analysis of gingival crevicular fluid //Proteome science. – 2011. – Т. 9. – №. 1. – С. 1.
Kurtis B. et al. GCF MMP-8 levels in smokers and non-smokers with chronic periodontitis following scaling and root planing accompanied by systemic use of flurbiprofen //Journal of periodontology. – 2007. – Т. 78. – №. 10. – С. 1954-1961.
Khiste S. V. et al. Critical analysis of biomarkers in the current periodontal practice //Journal of Indian Society of Periodontology. – 2011. – Т. 15. – №. 2. – С. 104.
Khiste S. V. et al. Critical analysis of biomarkers in the current periodontal practice //Journal of Indian Society of Periodontology. – 2011. – Т. 15. – №. 2. – С. 104.
Hultin M. et al. Microbiological findings and host response in patients with peri‐implantitis //Clinical oral implants research. – 2002. – Т. 13. – №. 4. – С. 349-358.
Xu L. et al. Characteristics of collagenase-2 from gingival crevicular fluid and peri-implant sulcular fluid in periodontitis and peri-implantitis patients: pilot study //Acta Odontologica Scandinavica. – 2008. – Т. 66. – №. 4. – С. 219-224.
Bullon P. et al. Immunohistochemical analysis of soft tissues in implants with healthy and peri‐ implantitis condition, and aggressive periodontitis //Clinical oral implants research. – 2004. – Т. 15. – №. 5. – С. 553-559.
Casado P. L. et al. Different contribution of BRINP3 gene in chronic periodontitis and periimplantitis: a cross-sectional study //BMC oral health. – 2015. – Т. 15. – №. 1. – С. 1.
Zani S. R. et al. Peri-implant crevicular fluid biomarkers as discriminants of peri-implant health and disease //Journal of clinical periodontology. – 2016. – Т. 4. – №. 2. – С. 18-21.
Sánchez-Siles M. et al. Incidence of peri-implantitis and oral quality of life in patients rehabilitated with implants with different neck designs: A 10-year retrospective study //Journal of Cranio-Maxillofacial Surgery. – 2015. – Т. 43. – №. 10. – С. 2168-2174.
Malik N., Naik D., Uppoor A. Levels of myeloperoxidase and alkaline phosphatase in periimplant sulcus fluid in health and disease and after nonsurgical therapy //Implant dentistry. – 2015. – Т. 24. – №. 4. – С. 434-440.
Ramseier C. A. et al. Host-derived biomarkers at teeth and implants in partially edentulous patients. A 10-year retrospective study //Clinical oral implants research. – 2016. – Т. 27. –№. 2. – С. 211-217.
Sorsa T. et al. Analysis of matrix metalloproteinases, especially MMP‐ 8, in gingival crevicular fluid, mouthrinse and saliva for monitoring periodontal diseases //Periodontology 2000. – 2016. – Т. 70. – №. 1. – С. 142-163.
Rocha F. S. et al. Saliva versus peri-implant inflammation: quantification of IL-1β in partially and totally edentulous patients //Journal of Oral Implantology. – 2014. – Т. 40. –№. 2. – С. 169-173.
Rakic M. et al. Bone loss biomarkers associated with peri-implantitis. A cross-sectional study //Clinical oral implants research. – 2013. – Т. 24. – №. 10. – С. 1110-1116.
