中文摘要：

对RAW264.7细胞在不同状态（正常、炎症、给药）下的甘油磷脂成分进行分析,寻找相关的潜在病理药理标志物,阐明二苯基庚烷A在抗炎过程中对甘油磷脂代谢的影响。实验分为空白组（C）、炎症模型组（L）、二苯基庚烷A给药组（D）和布洛芬给药组（B,阳性对照药组）4组。空白组和炎症组给予新鲜培养基,给药组分别给予新配含20μg/m L二苯基庚烷A和100μg/m L布洛芬的培养基,1 h后,炎症模型组和给药组按终浓度为0.5μg/m L加入脂多糖（LPS）培养,24 h后,运用修饰后的Bligh-Dyer方法提取不同状态下RAW264.7细胞的甘油磷脂成分,并通过超高效液相色谱-四极杆飞行时间质谱联用技术（UPLC-Q/TOF MS）在正负离子模式下对甘油磷脂进行一级（MS）和二级（MS/MS）质谱分析。结合二级质谱裂解数据、元素组成、数据库比对等方法鉴定磷脂成分,再通过主成分分析法（PCA）、偏最小二乘判别分析（PLS-DA）、正交偏最小二乘判别分析（OPLS-DA）以及t检验筛选潜在的甘油磷脂生物标志物。结果显示,炎症组与空白组比较得到27个潜在病理标志物,二苯基庚烷A给药组与炎症组比较得到23个潜在药理标志物,布洛芬给药组与炎症组比较得到17个潜在药理标志物,主要包括磷脂酰胆碱（PC）、溶血磷脂酰胆碱（lyso PC）、磷脂酰乙醇胺（PE）、溶血磷脂酰乙醇胺（lyso PE）。研究表明二苯基庚烷A在抗炎过程中引起了甘油磷脂代谢的明显变化,而这些代谢变化与炎症的发生发展密切相关。

英文摘要：

The study aims to illustrate the effect of diphenylheptane A on the glycerophospholipids metabolism in the inflammatory process through analyzing glycerophospholipids components of RAW264. 7 cells under different status （ control, inflammation, administration） and screening poten- tial pathological and pharmacological biomarkers. RAW264.7 cells were randomly divided into four groups ： control group （ C）, inflammation group （ L）, diphenylheptane A （ D）, ibuprofen （ B, posi- tive control）. C and L were treated with fresh medium while D and B were treated with medium con- taining 20 ixg/mL diphenylheptane A or 100 I~g/mL ibuprofen, respectively. 1 h later, lipopolysac- charide （LPS） was added to L, D and B at a final concentration of 0.5 ~g/mL. 24 h later, glycero- phospholipids in RAW264.7 cells of four groups were extracted by modified Bligh - Dyer method and analyzed by ultra performance liquid chromatography tandem quadrupole time -of- flight mass spec- trometry（ UPLC -Q/TOF MS） in both positive and negative ion modes. Then, glycerophospholipids components were identified by combination of MS/MS fragment ions information, element composition in MassLynx 4. 1 and the Lipid Maps database. Finally, potential pathological and pharmacological biomarkers were screened by unsupervised principal component analysis （PCA） , supervised partial least squares -discriminate analysis（ PLS -DA）, supervised orthogonal partial least squares discriminate analysis （OPLS- DA）, and Student＇s t- test（P 〈 0.05 ）. The results showed that 27 potential pathological biomarkers were found by comparing C and L, 23 potential pharmacological biomarkers were found by comparing D and L, and 17 potential pharmacological biomarkers were found by com- paring B and L. The biomarkers mainly included phosphatidyleholine（PC） , lysophosphatidylcholine （ lysoPC）, phosphatidylethanolamine （PE） and lysophosphatidylethanolamine （lysoPE）. It was found that diphenylheptane A led to obvious chan