RESUMO
Aim: Blocking lipogenesis could significantly inhibit the progression of pancreatic cancer. Exploring the regulatory mechanisms of lipogenesis by lncRNA SNHG16 might be of great significance to control the development of pancreatic cancer. Methods: The proliferation, migration, invasion and lipogenesis were determined with 3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide, wound healing, transwell and Oil Red O staining assays, respectively. The interactions among lncRNA SNHG16, miR-195 and SREBP2 were analyzed by dual luciferase reporter assays. Results: Both the knock down of lncRNA SNHG16 and SREBP2 and overexpression of miR-195 suppressed the proliferation, migration, invasion and lipogenesis in pancreatic cancer cells. LncRNA SNHG16 directly sponged miR-195 to modulate the lipogenesis via regulating the expression of SREBP2. Conclusion: LncRNA SNHG16 accelerated the development of pancreatic cancer and promoted lipogenesis via directly regulating miR-195/SREBP2 axis.
Assuntos
Lipogênese/genética , MicroRNAs/genética , Neoplasias Pancreáticas/genética , RNA Longo não Codificante/metabolismo , Proteína de Ligação a Elemento Regulador de Esterol 2/genética , Linhagem Celular Tumoral , Movimento Celular/genética , Proliferação de Células/genética , Progressão da Doença , Regulação Neoplásica da Expressão Gênica , Técnicas de Silenciamento de Genes , Humanos , MicroRNAs/metabolismo , Invasividade Neoplásica/genética , Invasividade Neoplásica/patologia , Neoplasias Pancreáticas/patologia , RNA Longo não Codificante/genética , Regulação para CimaRESUMO
Metabolic syndrome (MetS) is a cluster of cardiometabolic risk factors. Many people may be unaware of their risk for MetS. A cross-sectional, descriptive study was conducted among hospitalized patients with at least one cardiometabolic risk factor in Mainland China. This study assessed the MetS knowledgelevel(through MetS Knowledge Scale, MSKS) and examined the potential predictors by regression analysis. A total of 204 patients aged 58.5 ± 10.1 years (55% males) participated in this study. The majority of participants had no history of hypertension (54%), dyslipidemia (79%), or diabetes (85%). However, 56% of these participants had at least three cardiometabolic risk factors, indicating the presence of MetS. The average MSKS was very low (mean = 36.7±18.8, possible range = 0â»100), indicating the urgent needs of MetS education in current practice. Predictors of better MetS knowledge included higher educational level, history of dyslipidemia, and normal high-density lipoprotein cholesterol (F (8, 195) = 9.39, adjusted R² = 0.192, p< 0.001). In conclusion, adults with cardiometabolic risk factors are at risk of developing MetS, but with a low level of knowledge. Specific health education on MetS should be provided, particularly for those with limited formal education or inadequate lipid management.