[关键词]
[摘要]
目的 采用1H-NMR代谢组学技术结合KEGG数据库,分析沙棘籽油干预慢性温和不可预知应激(CUMS)抑郁大鼠血清和尿液中代谢物及其代谢通路的变化,探讨沙棘籽油抗抑郁的作用机制。方法 复制CUMS模型,同步给予沙棘籽油干预,连续4周。采集大鼠血清和尿液进行1H-NMR检测,利用代谢组学技术分析血清和尿液中代谢物的变化,搜索KEGG数据库分析代谢通路。结果 在血清和尿液中共寻找出17个与抑郁症相关的潜在生物标志物,其中血清中有9个,包括与对照组比较升高的脂质、β-羟基丁酸、乳酸、N-乙酰糖蛋白和降低的丙氨酸、甜菜碱、氧化三甲胺、α-葡萄糖、β-葡萄糖;尿液中有8个,包括与对照组比较升高的琥珀酸酯、天冬氨酸盐和降低的醋酸、2-酮戊二酸、柠檬酸、三甲胺、甜菜碱、苯丙氨酸。沙棘籽油干预后上述差异代谢物均出现了不同程度的回调,接近对照组水平。结论 沙棘籽油主要是通过调节体内的能量代谢、脂质代谢、氨基酸代谢、甲胺代谢和神经递质的合成等代谢通路发挥抗抑郁作用。
[Key word]
[Abstract]
Objective To analyze and explore the changes of the metabolites in serum and urine of the chronic unpredictable depression rat model (CUMS) rats disturbed by seabuckthorn seed oil with using nuclear magnetic resonance spectroscopy (1H-NMR) and KEGG database. Methods CUMS was prepared and the rats seabuckthorn seed oil was ig given to intervene at the same time for four weeks. Then the serum and the urine of rats were collected to test by 1H-NMR based metabolomics approach which purpose was to analyze the changes of the metabolites. Finally, the KEGG database was searched to analyze metabolic pathway. Results A total of 17 metabolites were identified as potential biomarkers in serum and urine for the CUMS model, of which nine metabolites were found in serum including higher levels of lipids, β-OH-butyrate, lactate, and N-acetyl glycoprotein and lower levels of alanine, betaine, trimethylamine N-oxide, α-glucose, and β-glucose and eight metabolites were found in urine including level increments for succinate, aspirate and level reductions for acetate, 2-oxoglutaric acid, citrate, TMA, betaine, and phenylalanine, compared with the negative control group (NS). After intervened by seabuckthorn seed oil, the above different metabolites have appeared different degree of callback, closing to NS. Conclusion These metabolic responses to CUMS treatment by seabuckthorn seed oil seemed to be some alterations in energy metabolism, lipid metabolism, amino acid metabolism, methylamine metabolism, and synthesis of neurotransmitter.
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[基金项目]
山西省科技计划项目(201603D321077,201603D3113013)