Bronzato Juliana D, Gomes Brenda P F A, Chen Tsute
Piracicaba Dental School, State University of Campinas-UNICAMP, Piracicaba 13083-970, SP, Brazil.
The ADA Forsyth Institute, Somerville, MA 02143, USA.
Genes (Basel). 2025 Jun 30;16(7):775. doi: 10.3390/genes16070775.
The aim of this study was to assess the taxonomic diversity of the microbiota associated with periapical lesions of endodontic origin and to determine whether microbial profiles vary across different populations and clinical characteristics using a unified in silico analysis of next-generation sequencing (NGS) data. Raw 16S rRNA sequencing data from three published studies were retrieved from the NCBI Sequence Read Archive and reprocessed using a standardized bioinformatics pipeline. Amplicon sequence variants were inferred using DADA2, and taxonomic assignments were performed using BLASTN against a curated 16S rRNA reference database. Alpha and beta diversity analyses were conducted using QIIME 2 and R, and differential abundance was assessed with ANCOM-BC2. Statistical comparisons were made based on population, sex, symptomatology, and other clinical metadata. A total of 38 periapical lesion samples yielded 566,223 high-confidence reads assigned to 347 bacterial species. Significant differences in microbial composition were observed between geographic regions (China vs. Spain), sexes, and symptoms. Core species such as sp. HMT 360 and were prevalent across datasets. and were found in abundance across all three studies. Beta diversity metrics revealed distinct clustering by study and country. Symptomatic lesions were associated with higher abundance of and . The periapical lesion microbiota is taxonomically diverse and varies significantly by geographic and clinical features.
本研究的目的是评估与牙髓源性根尖周病变相关的微生物群的分类多样性,并使用统一的下一代测序(NGS)数据计算机分析来确定微生物谱是否因不同人群和临床特征而异。从NCBI序列读取存档中检索了三项已发表研究的原始16S rRNA测序数据,并使用标准化的生物信息学流程进行重新处理。使用DADA2推断扩增子序列变体,并使用BLASTN针对经过整理的16S rRNA参考数据库进行分类分配。使用QIIME 2和R进行α和β多样性分析,并使用ANCOM-BC2评估差异丰度。基于人群、性别、症状和其他临床元数据进行统计比较。总共38个根尖周病变样本产生了566,223个高可信度读数,这些读数被分配到347个细菌物种。在地理区域(中国与西班牙)、性别和症状之间观察到微生物组成的显著差异。核心物种如sp. HMT 360等在各个数据集中普遍存在。在所有三项研究中都大量发现了……和……。β多样性指标显示按研究和国家有明显的聚类。有症状的病变与……和……的丰度较高有关。根尖周病变微生物群在分类学上具有多样性,并且因地理和临床特征而有显著差异。