Clinical significance analysis of microRNA-199a-3p in gingival crevicular fluid for patients with chronic periodontitis

IF 2.3 3区 生物学 Q3 BIOCHEMICAL RESEARCH METHODS
Kaixuan Yan, Yu Zheng, Jing Liu, Shuo Li, Wei Si
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引用次数: 0

Abstract

Objective

The aim was to investigate the clinical performance of microRNA-199a-3p (miR-199a-3p) in patients with chronic periodontitis.

Methods

91 patients with chronic periodontitis and 78 healthy individuals were enrolled for the research subjects. MiR-199a-3p expression was detected using real-time quantitative PCR (RT-qPCR) assay. Pearson correlation analysis was used for the relevance of miR-199a-3p with inflammatory mediators. Receiver operating characteristic (ROC) and logistic regression were conducted for the evaluation of the diagnostic performance and risk factors of chronic periodontitis. Bioinformatics analysis was utilized for miR-199a-3p-related genes.

Results

MiR-199a-3p was distinctly decreased in gingival crevicular fluid from patients with chronic periodontitis. The area under the curve (AUC) was 0.978 to discriminate chronic periodontitis patients from healthy individuals. The negative correlation was observed between miR-199a-3p and inflammatory factors. Logistic regression showed that miR-199a-3p was an independently protective factor for the occurrence of chronic periodontitis. Bioinformatics analysis revealed that the predictive regulated genes of miR-199a-3p mainly concentrated in inflammatory-associated signaling pathways.

Conclusion

MiR-199a-3p was attenuated in patients with chronic periodontitis and an underlying diagnostic biomarker for the disease.
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来源期刊
Molecular and Cellular Probes
Molecular and Cellular Probes 生物-生化研究方法
CiteScore
6.80
自引率
0.00%
发文量
52
审稿时长
16 days
期刊介绍: MCP - Advancing biology through–omics and bioinformatic technologies wants to capture outcomes from the current revolution in molecular technologies and sciences. The journal has broadened its scope and embraces any high quality research papers, reviews and opinions in areas including, but not limited to, molecular biology, cell biology, biochemistry, immunology, physiology, epidemiology, ecology, virology, microbiology, parasitology, genetics, evolutionary biology, genomics (including metagenomics), bioinformatics, proteomics, metabolomics, glycomics, and lipidomics. Submissions with a technology-driven focus on understanding normal biological or disease processes as well as conceptual advances and paradigm shifts are particularly encouraged. The Editors welcome fundamental or applied research areas; pre-submission enquiries about advanced draft manuscripts are welcomed. Top quality research and manuscripts will be fast-tracked.
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