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口腔微生物组研究进展:应用功能宏基因组学追踪致龋酸性菌。

Oral microbiome insights: Tracing acidic culprits in dental caries with functional metagenomics.

机构信息

Department of Biotechnology, School of Bioengineering, College of Engineering and Technology, SRM Institute of Science and Technology, SRM Nagar, Kattankulathur, Kanchipuram, Chennai, Tamil Nadu 603203, India.

Department of Oral Pathology, SRM Dental College and Hospital, SRM Institute of Science and Technology, SRM Nagar, Kattankulathur, Kanchipuram, Chennai, Tamil Nadu 603203, India.

出版信息

Arch Oral Biol. 2024 Dec;168:106064. doi: 10.1016/j.archoralbio.2024.106064. Epub 2024 Aug 13.

Abstract

OBJECTIVE

This study aimed to investigate the presence and abundance of acid-producing bacteria in dental caries samples using functional gene prediction techniques.

DESIGN

A total of 24 dental caries samples were collected for analysis. DNA isolation was performed followed by shotgun metagenomic sequencing. Functional gene prediction techniques were used to identify enzymes responsible for acid production from primary metabolites. Enzymes responsible for converting primary metabolites into acids were identified from the KEGG database. Subsequently, 840 contigs were examined, and their genus and species were characterized.

RESULTS

Analysis of the obtained data revealed 31 KEGG IDs corresponding to enzymes involved in the conversion of primary metabolites into acids. All 117 identified genera from the contig analysis were found to be part of the oral microbiome. In addition, A higher prevalence of acid-producing bacteria was noted in dental caries samples compared to earlier reports.

CONCLUSION

The study indicates the significant role of acid-producing bacteria in the initiation and progression of dental caries. The findings highlight the importance of microbial activity in the demineralization process of tooth enamel. Methods for preventing dental decay may be promising if specific measures are implemented to reduce the amount of acid produced by oral bacteria.

摘要

目的

本研究旨在利用功能基因预测技术,研究龋齿样本中产酸菌的存在和丰度。

设计

共采集 24 例龋齿样本进行分析。进行 DNA 分离,然后进行鸟枪法宏基因组测序。利用功能基因预测技术,从主要代谢物中鉴定产酸相关的酶。从 KEGG 数据库中鉴定将主要代谢物转化为酸的酶。随后,对 840 个连续序列进行了检查,并对其属种进行了描述。

结果

对获得的数据进行分析,发现 31 个 KEGG ID 对应于将主要代谢物转化为酸的酶。从连续序列分析中鉴定的 117 个属均被认为是口腔微生物组的一部分。此外,与早期报道相比,龋齿样本中产酸菌的流行率更高。

结论

本研究表明产酸菌在龋齿的发生和发展中起重要作用。研究结果强调了微生物活性在牙釉质脱矿过程中的重要性。如果采取具体措施减少口腔细菌产生的酸量,预防龋齿的方法可能是有前途的。

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