Objective To observe the effect of acetylated low-density lipoprotein (AcLDL) on the expression of adipophilin and the effect of adipophilin on AcLDL uptake and lipid accumulation in human vascular smooth muscle cells (HVSMCs)in order to approach the role played by adipophilin in genesis of macroangiopathy. Methodse HVSMCs were treated with various amount of AcLDL. Adipophilin expression levels were detected by Northern blot and Western blot. The effects of adipophilin on AcLDL uptake and lipid accumulation in HVSMCs were observed by the methods of siRNA, flow cytometry, enzymatic method and oil red stain. Results AcLDL dose-dependently increased adipophilin expression in HVSMCs. Silence adipophilin by siRNA decreased AcLDL uptake (decreasing by 38.7%, P<0. 05) and lipids accumulation (tfiglyceride and total cholesterol decreasing by 30.6% and 29.8% respectively, both P<0. 01) in HVSMCs, Conclusion Adipophilin is able to increase AcLDL uptake and lipid accumulation in HVSMCs, suggesting that it might play a role in enhancing atherosclerosis.

目的:探讨线粒体DNA 5178A/C多态性与2型糖尿病患者糖尿病性视网膜病变 (DR)的相关性.方法:将672例2型糖尿病患者分为无明显的糖尿病视网膜病变(NDR,n=518)、非增殖性糖尿病视网膜病变(NPDR,n=145)和增殖期糖尿病视网膜病变(PDR,n=9例)3组.采用聚合酶链反应-限制性片段(PCR-RFLP)技术检测线粒体DNA 5178C/A多态性.评价该多态性与DR的相关性.结果:Mt5178C/A多态性在NDR、NPDR和PDR3组间基因型分布无显著性差异.结论:线粒体DNA5178A/C多态性与中国2型糖尿病患者视网膜病变无关.

Purpose To establish a type 2 diabetic retinopathy(DR)specific serum protein fingerprint profile. Methods Sera of 16 healthy volunteers,27 type 2 diabetic patients without DR and 21 type 2 diabetic retinopathy patients were analyzed by using surface enhanced laser desorption/ionization time-of-flight mass spectrometry(SELDI-TOF-MS) and Biomarker Wizard Software to identify potential differences in protein or polypeptide profile. Results Protein profile of serum showed the best peak spectrum on H4 arrays by sensitivity of 9 and laser intensity of 210.Totally 31 mass peaks in the range from 2 000 to 20 000 were detected.The intensities of 5 peaks at m/z 7 440,7 639,7 839,8 147 and 8 925 appeared differentially among three groups(P0.05). Conclusions Although further characterization of differentially detected protein peaks is important and needed,our current work clearly demonstrates that the SELDI is effective in searching biomarkers of DR in serum protein profile.