The review on associative communications of periodontal diseases, aging and age associated pathology is submitted. Uniform pathophysiological and pathogenetic mechanisms of these processes and their interrelation are analyzed. The question of existence of so-called periodontal-systemic connection is discussed. The conclusion about need of changing the paradigm of approach for diagnostics and treatment of patients with periodontal pathology from tightly specialized stomatologic into the interdisciplinary paradigm is drawn. It is especially important for the elderly patients having polymorbid pathology in association with inflammatory periodontal diseases.
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PeerJ
January 2025
Department of Dental Materials, Peking University School and Hospital of Stomatology & National Center for Stomatology & National Clinical Research Center for Oral Diseases & National Engineering Research Center of Oral Biomaterials and Digital Medical Devices, Beijing, China.
Background: Periodontitis is not always satisfactorily treated with conventional scaling and root planing, and adjunctive use of antibiotics is required in clinical practice. Therefore, it is important for clinicians to understand the diversity and the antibiotic resistance of subgingival microbiota when exposed to different antibiotics.
Materials And Methods: In this study, subgingival plaques were collected from 10 periodontitis patients and 11 periodontally healthy volunteers, and their microbiota response to selective pressure of four antibiotics (amoxicillin, metronidazole, clindamycin, and tetracycline) were evaluated through 16S rRNA gene amplicon and metagenomic sequencing analysis.
Front Oral Health
January 2025
Department of Cardiovascular Pathology and Diet Therapy, Federal Research Centre for Nutrition, Biotechnology and Food Safety, Moscow, Russia.
Background: Cardiovascular diseases (CVDs) are the leading cause of mortality and morbidity among noncommunicable diseases. Over the past decade, there has been a notable increase in the prevalence of CVDs among young individuals. Obesity, a well-known risk factor for CVDs, is also associated with various comorbidities that may contribute to cardiovascular risk.
View Article and Find Full Text PDFClin Oral Investig
January 2025
Department of Oral and Maxillofacial Surgery, Yerevan State Medical University, Yerevan, Armenia.
Objectives: The aim of the study is to compare the clinical efficacy of the application of "Armenicum" paste as an adjunct to SRP for the non-surgical treatment of patients with periodontitis.
Methods: The current RCT prospective study was conducted on 157 patients with chronic periodontitis. The patients were blind randomly assigned into two groups: Group A (SRP + Armenicum" paste) 81 patients (42 males and 39 females, 37 to 68 years) and Group B (SRP) 76 patients (39 males and 37 females, 37 to 68 years).
Zhonghua Kou Qiang Yi Xue Za Zhi
January 2025
Department of Periodontology, Peking University School and Hospital of Stomatology & National Center for Stomatology & National Clinical Research Center for Oral Diseases & National Engineering Research Center of Oral Biomaterials and Digital Medical Devices & Beijing Key Laboratory of Digital Stomatology, Beijing 100081, China.
Periodontitis constitutes the primary cause of tooth loss among adults in China. The disease is characterized by the high morbidity, which significantly impairs both oral and systemic health. As the key insights of initial periodontal therapy, subgingival scaling and root planing (SRP) have been considered as simple, effective, and cost-efficient treatment approaches for managing periodontal inflammation.
View Article and Find Full Text PDFInt J Implant Dent
January 2025
Center of Oral Implantology, Stomatological Hospital, School of Stomatology, Southern Medical University, Guangzhou, China.
Purpose: This systematic review aims to assess the performance, methodological quality and reporting transparency in prediction models for the dental implant's complications and survival rates.
Methods: A literature search was conducted in PubMed, Web of Science, and Embase databases. Peer-reviewed studies that developed prediction models for dental implant's complications and survival rate were included.
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