Long non-coding RNA AC018926.2 regulates palmitic acid exposure-compromised osteogenic potential of periodontal ligament stem cells via the ITGA2/FAK/AKT pathway.
Hong-Lei QuLi-Juan SunXuan LiFen LiuHai-Hua SunXiao-Tao HeDian GanYuan YinBei-Min TianFa-Ming ChenRui-Xin WuPublished in: Cell proliferation (2023)
Although obesity has been proposed as a risk factor for periodontitis, the influence of excessive fat accumulation on the development of periodontitis and periodontal recovery from disease remains largely unknown. This study investigated the cellular response of periodontal ligament stem cells (PDLSCs) to elevated levels of a specific fatty acid, namely, palmitic acid (PA). The mechanism by which PA exposure compromises the osteogenic potential of cells was also explored. It was found that exposure of PDLSCs to abundant PA led to decreased cell osteogenic differentiation. Given that long non-coding RNAs (lncRNAs) play a key role in the stem cell response to adverse environmental stimuli, we screened the lncRNAs that were differentially expressed in PDLSCs following PA exposure using lncRNA microarray analysis, and AC018926.2 was identified as the lncRNA that was most sensitive to PA. Next, gain/loss-of-function studies illustrated that AC018926.2 was an important regulator in PA-mediated osteogenic differentiation of PDLSCs. Mechanistically, AC018926.2 upregulated integrin α2 (ITGA2) expression and therefore activated ITGA2/FAK/AKT signalling. Further functional studies revealed that inactivation of ITGA2/FAK/AKT signalling by silencing ITGA2 counteracted the pro-osteogenic effect induced by AC018926.2 overexpression. Moreover, the results of bioinformatics analysis and RNA immunoprecipitation assay suggested that AC018926.2 might transcriptionally regulate ITGA2 expression by binding to PARP1 protein. Our data suggest that AC018926.2 may serve as a therapeutic target for the management of periodontitis in obese patients.
Keyphrases
- long non coding rna
- poor prognosis
- stem cells
- mesenchymal stem cells
- bone marrow
- cell proliferation
- obese patients
- signaling pathway
- cell therapy
- bioinformatics analysis
- single cell
- adipose tissue
- bariatric surgery
- binding protein
- metabolic syndrome
- cell migration
- transcription factor
- weight loss
- cell cycle arrest
- body mass index
- roux en y gastric bypass
- machine learning
- electronic health record
- high throughput
- amino acid
- anti inflammatory
- deep learning
- cell death