肥胖对不同牙周状况受试者龈下微生物群组成的影响:系统综述。

Revista Cientifica Odontologica Pub Date : 2024-03-30 eCollection Date: 2024-01-01 DOI:10.21142/2523-2754-1201-2024-187
Mario Alberto Alarcón-Sánchez
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引用次数: 0

摘要

目的本系统综述旨在研究正常体重、超重和肥胖的受试者在牙周健康和疾病情况下龈下微生物群组成的变化:本研究的方案设计遵循 PRISMA 指南。使用不同的搜索引擎(PubMed/MedLine、Scopus 和 Web of Science)查找记录。选取了对诊断为肥胖(体重指数大于 30kg/m2)和牙周疾病(牙龈炎和牙周炎)的人类受试者进行龈下微生物群分析的观察性研究。结果:结果:分析了 1,229 名受试者(n=894 暴露组和 n=335 对照组)的龈下微生物群。在肥胖和牙周炎受试者中检测到的最常见细菌是牙周病原体(牙龈卟啉单胞菌、连翘坦奈氏菌、弯曲杆菌、结核杆菌、核酸镰刀菌属 vincentii、微小副杆菌、中间普雷沃特氏菌、直肠弯曲杆菌和放线杆菌),以及一些辅助病原体,如:戈尔登链球菌:结论:尽管肥胖和牙周炎患者龈下微生物群的组成发生了明显变化,但要确定这些患者微生物群的特定模式仍是一项挑战。如果龈下牙菌斑微生物与肥胖之间的关系得到证实,微生物组分析将成为改善肥胖症患者预防措施和管理的有用工具。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Influence of obesity on subgingival microbiota composition in subjects with different periodontal status: a systematic review.

Influence of obesity on subgingival microbiota composition in subjects with different periodontal status: a systematic review.

Influence of obesity on subgingival microbiota composition in subjects with different periodontal status: a systematic review.

Objective: This systematic review aimed to investigate the changes in the composition of the subgingival microbiota among subjects with normo-weight, overweight and obesity, in conditions of periodontal health and disease.

Materials and methods: The protocol for this study was designed following PRISMA guidelines. Records were identified using different search engines (PubMed/MedLine, Scopus and Web of Science). Observational studies, in human subjects diagnosed with obesity (BMI >30kg/m2) and periodontal disease (gingivitis and periodontitis), on the analysis of subgingival microbiota were selected. Eight articles were included.

Results: The subgingival microbiota of 1,229 subjects (n=894 exposure group and n=335 control group) was analyzed. Periodontal pathogens were the most common bacteria detected in subjects with obesity and periodontitis (Porphyromonas gingivalis, Tannerella forsythia, Campylobacter gracilis, Eubacterium nodatum, Fusobacterium nucleatum spp. vincentii, Parvimonas micra, Prevotella intermedia, Campylobacter rectus, and Aggregatibacter actinomycetemcomitans), as along with some accessory pathogens such as: Streptococcus gordonii, and Veillonella parvula that favor the virulence of late colonizers.

Conclusions: Although there are evident alterations in the composition of the subgingival microbiota in subjects with obesity and periodontitis, it is still a challenge to identify a specific pattern of microbiota in these subjects. If associations between subgingival plaque microorganisms and obesity are confirmed, microbiome analysis could be a useful tool to improve preventive measures and the management of people with obesity.

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