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Periodontitis: An Oral Disease with Severe Consequences

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Abstract

Periodontitis, being a multifactorial disorder is found to be the most common oral disease denoted by the inflammation of gingiva and resorption of tooth supporting alveolar bone. The disease being closely linked with fast life style and determined by unhygienic behavioural factors, the internal milieu of oral cavity and formation of plaque biofilm on the dental and gingival surfaces. Porphyromonas gingivalis, being the major keystone pathogen of the periodontal biofilm evokes host immune responses that causes damage of gingival tissues and resorption of bones. The biofilm associated microbial community progressively aggravates the condition resulting in chronic inflammation and finally tooth loss. The disease often maintains bidirectional relationship with different systemic, genetic, autoimmune, immunodeficiency diseases and even psychological disorders. The disease can be diagnosed and predicted by various genetic, radiographic and computer-aided design (CAD) & computer-aided engineering (CAE) and artificial neural network (ANN). The elucidation of genetic background explains the inheritance of the disease. The therapeutic approaches commonly followed include mechanical removal of dental plaque with the use of systemic antibiotics. Awareness generation amongst local people, adoption of good practice of timely tooth brushing preferably with fluoride paste or with nanoconjugate pastes will reduce the chance of periodontal plaque formation. Modern tissue engineering technology like 3D bioprinting of periodontal tissue may help in patient specific flawless regeneration of tooth structures and associated bones.

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  1. Department of Biotechnology, Maulana Abul Kalam Azad University of Technology, West Bengal, Haringhata, Nadia, India

    Rina Rani Ray

  2. Department of Biotechnology and Bioinformatics, Sambalpur University, FVHM+9QP, Jyoti Vihar, Burla, Odisha, 768019, India

    Rina Rani Ray

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Ray, R.R. Periodontitis: An Oral Disease with Severe Consequences. Appl Biochem Biotechnol 195, 17–32 (2023). https://doi.org/10.1007/s12010-022-04127-9

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