Metagenomics as an Effective Diagnostic Approach for Exploring Oral Microbial Diversity and Dental Diseases: A Narrative Review.

Q3 Dentistry
Tarun Walia, Nikhil Srivastava, Raghavendra M Shetty, Vivek Rana
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引用次数: 0

Abstract

Aim and background: The oral cavity harbors a diverse microbiota that significantly influences oral health and disease. Conventional microbiological techniques have limitations in detecting the full range of microbial species, particularly those that are uncultivable. Metagenomics, through culture-independent, high-throughput sequencing methods, offers a comprehensive approach to studying oral microbial diversity. This narrative review aims to evaluate the role of metagenomics in exploring the oral microbiome and its association with dental diseases.

Methods: This review systematically synthesized current literature and research on metagenomic technologies, including 16S ribosomal RNA (rRNA) sequencing, shotgun metagenomics, metatranscriptomics, metaproteomics, and metabolomics. It highlighted their principles, diagnostic capabilities, and limitations in analyzing microbial communities in caries, endodontic infections, and periodontitis. It also reviewed auxiliary tools such as quantitative polymerase chain reaction (qPCR), microarrays, fluorescence in situ hybridization (FISH), and matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS), and discussed the integration of artificial intelligence (AI) in metagenomic data interpretation.

Results: Metagenomic studies have expanded the scope of known microbial species involved in dental caries beyond Streptococcus mutans, highlighting the contributions of Lactobacillus, Veillonella, Actinomyces, and Candida albicans. In endodontics, resistant species such as Enterococcus faecalis, Porphyromonas endodontalis, and Fusobacterium nucleatum are implicated in persistent infections. In periodontitis, a dysbiotic microbial shift has been associated with the presence of complex microbial consortia, including red and orange complex bacteria.

Conclusion: Metagenomics is a powerful diagnostic tool that provides an in-depth characterization of the complex microbial ecosystem of the oral cavity. It offers diagnostic potential through early and accurate detection of pathogenic shifts, promotes personalized treatment planning, and opens avenues for the development of potential biomarkers of disease progression.

Clinical significance: The integration of metagenomics into dental practice can revolutionize caries risk assessment, treatment precision, and disease prevention strategies. Although challenges such as high cost, data complexity, and lack of standardization remain, ongoing advancements in sequencing technologies and bioinformatics are expected to enhance its accessibility and clinical relevance.

How to cite this article: Walia T, Srivastava N, Shetty RM, et al. Metagenomics as an Effective Diagnostic Approach for Exploring Oral Microbial Diversity and Dental Diseases: A Narrative Review. Int J Clin Pediatr Dent 2026;19(2):278-284.

Abstract Image

宏基因组学作为探索口腔微生物多样性和口腔疾病的有效诊断方法:述评。
目的与背景:口腔内有多种多样的微生物群,对口腔健康和疾病有重要影响。传统的微生物学技术在检测全范围的微生物物种方面存在局限性,特别是那些不可培养的微生物。宏基因组学通过培养独立的高通量测序方法,为研究口腔微生物多样性提供了全面的方法。本文旨在评价宏基因组学在探索口腔微生物组及其与口腔疾病的关系中的作用。方法:系统综合目前有关宏基因组技术的文献和研究成果,包括16S核糖体RNA (rRNA)测序、鸟枪宏基因组学、元转录组学、宏蛋白质组学、代谢组学等。它强调了他们的原理,诊断能力,以及在分析龋齿,牙髓感染和牙周炎的微生物群落方面的局限性。综述了定量聚合酶链反应(qPCR)、微阵列、荧光原位杂交(FISH)和基质辅助激光解吸/电离飞行时间质谱(MALDI-TOF MS)等辅助工具,并讨论了人工智能(AI)在宏基因组数据解释中的集成。结果:宏基因组学研究扩大了已知的与龋齿有关的微生物物种的范围,超越了变形链球菌,突出了乳杆菌、细孔菌、放线菌和白色念珠菌的贡献。在牙髓学中,粪肠球菌、牙髓卟啉单胞菌和核梭杆菌等耐药物种与持续感染有关。在牙周炎中,一种生态失调的微生物转移与复杂微生物联合体的存在有关,包括红色和橙色复杂细菌。结论:宏基因组学是一种强大的诊断工具,可以深入表征口腔复杂的微生物生态系统。它通过早期和准确检测致病转移提供了诊断潜力,促进了个性化治疗计划,并为开发疾病进展的潜在生物标志物开辟了道路。临床意义:将宏基因组学整合到牙科实践中可以彻底改变龋齿风险评估、治疗精度和疾病预防策略。尽管诸如高成本、数据复杂性和缺乏标准化等挑战仍然存在,但测序技术和生物信息学的持续进步有望提高其可及性和临床相关性。如何引用本文:Walia T, Srivastava N, Shetty RM等。宏基因组学作为探索口腔微生物多样性和口腔疾病的有效诊断方法:述评。中华临床儿科杂志,2016;19(2):278-284。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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CiteScore
1.20
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0.00%
发文量
135
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