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牙周病学中的精准医学:文献综述

Precision Medicine in Periodontics: A Literature Review.

作者信息

Gundelly Mrunalini, Pusuluri Santosh V, Koduganti Rekha R, Ambati Manasa, Chiluveru Sneha, Chandaka Meenakshi

机构信息

Periodontics, Panineeya Mahavidyalaya Institute of Dental Sciences and Research Centre, Hyderabad, IND.

出版信息

Cureus. 2024 Sep 8;16(9):e68952. doi: 10.7759/cureus.68952. eCollection 2024 Sep.

DOI:10.7759/cureus.68952
PMID:39385855
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11461172/
Abstract

Periodontitis, a widespread health issue, requires effective prevention and management strategies due to its increasing prevalence and detrimental social consequences. The chronic inflammation associated with periodontitis also exacerbates systemic conditions, emphasizing the need for advanced approaches in addressing this public health concern. The traditional methods of periodontal diagnosis, which primarily rely on clinical indicators such as pocket depth, clinical attachment loss, mobility, and radiographic measurements of alveolar bone loss, have limitations in guiding therapy due to the intricate and multifaceted nature of periodontal diseases. Precision periodontics is the amalgamation of genomics, bioinformatics, and advanced technology, mainly biomarkers reflecting a precise patient-centered treatment. However, implementing this approach in periodontology is new due to the lack of validated periodontal biomarkers for diagnostic use. This article explores the foundations of personalized therapy in periodontal diagnosis. It discusses the current state and prospects of periodontal biomarkers as a crucial step toward realizing a precision approach in periodontal practice.

摘要

牙周炎是一个普遍存在的健康问题,由于其患病率不断上升以及有害的社会后果,需要有效的预防和管理策略。与牙周炎相关的慢性炎症还会加剧全身性疾病,这凸显了采用先进方法来解决这一公共卫生问题的必要性。传统的牙周诊断方法主要依赖于临床指标,如牙周袋深度、临床附着丧失、牙齿松动度以及牙槽骨丧失的影像学测量,由于牙周疾病的复杂性和多面性,这些方法在指导治疗方面存在局限性。精准牙周病学是基因组学、生物信息学和先进技术的融合,主要是通过生物标志物来实现以患者为中心的精准治疗。然而,由于缺乏经过验证的用于诊断的牙周生物标志物,在牙周病学中实施这种方法尚属新颖。本文探讨了牙周诊断中个性化治疗的基础。它讨论了牙周生物标志物的现状和前景,这是在牙周实践中实现精准方法的关键一步。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3e97/11461172/db59f0956540/cureus-0016-00000068952-i01.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3e97/11461172/db59f0956540/cureus-0016-00000068952-i01.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3e97/11461172/db59f0956540/cureus-0016-00000068952-i01.jpg

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引用本文的文献

1
The Multifaceted Role of in Periodontal Disease and Beyond: From Genetic Polymorphisms to Biomarker Potential.[此处原文不完整,推测可能是某个因素在牙周病及其他方面的多面作用:从基因多态性到生物标志物潜力,但无法准确翻译]
Genes (Basel). 2025 Jul 28;16(8):891. doi: 10.3390/genes16080891.

本文引用的文献

1
Artificial Intelligence in the Diagnosis of Oral Diseases: Applications and Pitfalls.人工智能在口腔疾病诊断中的应用与陷阱
Diagnostics (Basel). 2022 Apr 19;12(5):1029. doi: 10.3390/diagnostics12051029.
2
A Roadmap towards Precision Periodontics.精准牙周病学路线图
Medicina (Kaunas). 2021 Mar 3;57(3):233. doi: 10.3390/medicina57030233.
3
Gingival Crevicular Fluid (GCF): A Diagnostic Tool for the Detection of Periodontal Health and Diseases.牙龈沟液(GCF):用于检测牙周健康和疾病的诊断工具。
Molecules. 2021 Feb 24;26(5):1208. doi: 10.3390/molecules26051208.
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Biosensor and Lab-on-a-chip Biomarker-identifying Technologies for Oral and Periodontal Diseases.用于口腔和牙周疾病的生物传感器及芯片实验室生物标志物识别技术
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Current understanding of periodontal disease pathogenesis and targets for host-modulation therapy.牙周病发病机制的最新认识和宿主调控治疗的靶点。
Periodontol 2000. 2020 Oct;84(1):14-34. doi: 10.1111/prd.12331.
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Salivary Biomarkers and Their Application in the Diagnosis and Monitoring of the Most Common Oral Pathologies.唾液生物标志物及其在最常见口腔病理的诊断和监测中的应用。
Int J Mol Sci. 2020 Jul 21;21(14):5173. doi: 10.3390/ijms21145173.
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Advances in precision oral health.精准口腔健康的新进展。
Periodontol 2000. 2020 Feb;82(1):268-285. doi: 10.1111/prd.12314.
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Association between IL-1A (-889C/T) polymorphism and susceptibility of chronic periodontitis: A meta-analysis.白细胞介素 1A(-889C/T) 多态性与慢性牙周炎易感性的关联:一项荟萃分析。
Gene. 2020 Mar 1;729:144227. doi: 10.1016/j.gene.2019.144227. Epub 2019 Nov 21.
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Oxidative stress-related biomarkers in saliva and gingival crevicular fluid associated with chronic periodontitis: A systematic review and meta-analysis.唾液和龈沟液中与慢性牙周炎相关的氧化应激生物标志物:系统评价和荟萃分析。
J Clin Periodontol. 2019 Jun;46(6):608-622. doi: 10.1111/jcpe.13112.
10
Use of IL-1 β, IL-6, TNF-α, and MMP-8 biomarkers to distinguish peri-implant diseases: A systematic review and meta-analysis.使用 IL-1β、IL-6、TNF-α 和 MMP-8 生物标志物来区分种植体周围疾病:系统评价和荟萃分析。
Clin Implant Dent Relat Res. 2019 Feb;21(1):190-207. doi: 10.1111/cid.12694. Epub 2018 Dec 3.