biostudies-literatureAravindraja CNIDCR NIH HHSNational Institute of Dental and Craniofacial Research16393https://www.ebi.ac.uk/biostudies/studies/S-EPMC10671577biostudies-literatureUnknown24(22)<i>T. forsythia</i> is a subgingival periodontal bacterium constituting the subgingival pathogenic polymicrobial milieu during periodontitis (PD). miRNAs play a pivotal role in maintaining periodontal tissue homeostasis at the transcriptional, post-transcriptional, and epigenetic levels. The aim of this study was to characterize the global microRNAs (miRNA, miR) expression kinetics in 8- and 16-week-old <i>T. forsythia</i>-infected C57BL/6J mouse mandibles and to identify the miRNA bacterial biomarkers of disease process at specific time points. We examined the differential expression (DE) of miRNAs in mouse mandibles (<i>n</i> = 10) using high-throughput NanoString nCounter^® miRNA expression panels, which provided significant advantages over specific candidate miRNA or pathway International journal of molecular sciencesUnique miRomics Expression Profiles in <i>Tannerella forsythia</i>-Infected Mandibles during Periodontitis Using Machine Learning.PMC10671577R01 DE028536Chan EKLDuncan WBahadekar SKesavalu LJeepipalli SAravindraja CVekariya KMfalseUnique miRomics Expression Profiles in <i>Tannerella forsythia</i>-Infected Mandibles during Periodontitis Using Machine Learning.<i>T. forsythia</i> is a subgingival periodontal bacterium constituting the subgingival pathogenic polymicrobial milieu during periodontitis (PD). miRNAs play a pivotal role in maintaining periodontal tissue homeostasis at the transcriptional, post-transcriptional, and epigenetic levels. The aim of this study was to characterize the global microRNAs (miRNA, miR) expression kinetics in 8- and 16-week-old <i>T. forsythia</i>-infected C57BL/6J mouse mandibles and to identify the miRNA bacterial biomarkers of disease process at specific time points. We examined the differential expression (DE) of miRNAs in mouse mandibles (<i>n</i> = 10) using high-throughput NanoString nCounter^® miRNA expression panels, which provided significant advantages over specific candidate miRNA or pathway 2023-01-01T00:00:00Z2023 Nov2026-06-16T03:14:10.197Z2026-06-16T03:07:04.644ZS-EPMC106715773800358310.3390/ijms242216393