Wang Miao, Gu Dongyu, Li Haoquan, Wang Qi, Kang Jie, Chu Tingting, Guo Hong, Yang Yi, Tian Jing
School of Biological Engineering, Dalian Polytechnic University, Dalian 116034, China.
School of Marine Science and Environment Engineering, Dalian Ocean University, Dalian 116023, China.
Phytochemistry. 2017 Sep;141:114-120. doi: 10.1016/j.phytochem.2017.06.002. Epub 2017 Jun 10.
A facile method based on gas chromatography-mass spectrometry (GC-MS) and molecular docking was established to analyze, identify, and predict lipase inhibitors in volatile oil from Pinus massoniana L. needles (PMLN). The volatile oil, with an IC value of 15.25 ± 0.06 μg/mL, exhibited potential inhibitory activity against lipase in vitro. In total, 33 compounds were identified from the volatile oil through GC-MS analysis. The major compounds in the volatile oil were β-pinene (39.24%), α-pinene (14.68%), germacrene D (9.08%), caryophyllene (6.94%), α-terpineol (5.39%), β-phellandrene (4.82%), and D-limonene (3.93%). The identified compounds were individually docked with lipase as the target through molecular docking. Among the compounds, longifolene characterized by preferable binding energy and the good inhibition constant exhibited potential lipase inhibitory activity. The IC value of longifolene was 25.10 ± 0.49 μM, indicating that this compound is the active ingredient responsible for the lipase inhibitory activity of PMLN volatile oil.
建立了一种基于气相色谱-质谱联用(GC-MS)和分子对接的简便方法,用于分析、鉴定和预测马尾松针叶挥发油(PMLN)中的脂肪酶抑制剂。该挥发油的IC值为15.25±0.06μg/mL,在体外对脂肪酶表现出潜在的抑制活性。通过GC-MS分析从挥发油中总共鉴定出33种化合物。挥发油中的主要化合物为β-蒎烯(39.24%)、α-蒎烯(14.68%)、杜松烯D(9.08%)、石竹烯(6.94%)、α-松油醇(5.39%)、β-水芹烯(4.82%)和D-柠檬烯(3.93%)。通过分子对接将鉴定出的化合物分别与作为靶点的脂肪酶进行对接。在这些化合物中,具有较好结合能和良好抑制常数的长叶烯表现出潜在的脂肪酶抑制活性。长叶烯的IC值为25.10±0.49μM,表明该化合物是PMLN挥发油脂肪酶抑制活性的活性成分。