Expression Levels of miR-181 Family Members in Oral Biofluids as Biomarkers for Periodontitis Severity.

This study aimed to assess the diagnostic potential of microRNA-181 (miR-181) family members in oral biofluids, namely saliva and gingival crevicular fluid (GCF), as biomarkers for periodontitis severity. A cohort of 150 patients with periodontitis, including 82 with mild to moderate and 68 with advanced periodontitis, along with 90 healthy controls, were recruited. Analysis of miR-181 family expression using quantitative real-time polymerase chain reaction (qRT-PCR) revealed differential expression levels in oral biofluids among the study groups.

Differential Expressions of ADAM28 and ADAMTSL3 in Gingival Tissue of Patients with Periodontitis.

The modulation of gene expression via DNA methylation modifications is relevant to the pathogenesis of periodontitis. This study aimed at identifying novel biomarkers in gingival tissues from periodontitis by integrally analyzing methylation profiles and gene expression data. Differential gene expressions (DGEs) of dataset GSE106090 were obtained from the Gene Expression Omnibus (GEO) database for Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis.

The expression and clinical significance of miR-30b-3p and miR-125b-1-3p in patients with periodontitis.

Objective: Periodontitis is a chronic inflammatory infectious disease caused by the deposition of dental plaque on the tooth surface, leading to adverse systemic consequences. Accumulating evidence shows that dysregulated microRNAs (miRNAs) are associated with the disease severity of periodontitis. Herein, we report two novel miRNAs, miR-30b-3p and miR-125b-1-3p, in the context of periodontitis and their relationships with disease severity of periodontitis.

A low-light image enhancement method with brightness balance and detail preservation.

This paper proposes a new method for low-light image enhancement with balancing image brightness and preserving image details, this method can improve the brightness and contrast of low-light images while maintaining image details. Traditional histogram equalization methods often lead to excessive enhancement and loss of details, thereby resulting in an unclear and unnatural appearance. In this method, the image is processed bidirectionally.