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论著·基础研究 | 更新时间:2026-06-18
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基于非靶向代谢组学探究代谢应激诱导人肝癌HepG2细胞自噬的代谢特征
etabolic characteristics of metabolic stress⁃induced human hepatocellular carcinoma HepG2 cells autophagy based on non⁃targeted metabolomics: an exploration study

广西医学 页码:681-691

作者机构:孙昊,在读硕士研究生,研究方向为外泌体在肝癌中的作用与机制。

基金信息:国家自然科学基金(82060434);广西硕士研究生创新项目(YCSW2024260)

DOI:10.11675/j.issn.0253⁃4304.2026.05.12

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目的 基于非靶向代谢组学探讨人肝癌HepG2细胞在代谢应激性自噬过程中的代谢特征变化。方法 (1)将HepG2细胞分为常规培养组(以DMEM完全培养基进行培养)和饥饿培养0 h、3 h、6 h(以HBSS为基础的饥饿培养基培养0 h、3 h、6 h)组,采用单丹磺酰尸胺(MDC)法检测各组细胞自噬小体的形成情况。(2)将HepG2细胞分成饥饿组(以HBSS为基础的饥饿培养基进行培养)、氯喹组(在DMEM完全培养基中加入50 μmol/L氯喹进行培养)和饥饿+氯喹组(在以HBSS为基础的饥饿培养基中加入50 μmol/L氯喹进行培养)并培养不同时间点(0 h、3 h和6 h),以DMEM完全培养基培养的HepG2细胞作为正常对照组,采用Western blot检测自噬相关蛋白(p62、LC3B)的表达水平。(3)将HepG2细胞分成代谢应激性自噬组(采用以HBSS为基础的饥饿培养基培养6 h)、代谢性应激组(采用以HBSS为基础的饥饿培养基培养3 h)、对照组(采用DMEM完全培养基培养),运用超高效液相色谱-质谱联用技术进行非靶向代谢组学分析,筛选各组间的差异代谢物,并针对差异代谢物进行层次聚类分析和京都基因与基因组百科全书通路富集分析。结果 (1)饥饿培养6 h时,细胞核周围荧光颗粒密集,自噬小体开始级联增多,处于自噬激活状态;与氯喹组相比,饥饿+氯喹组的p62蛋白表达水平和LC3B⁃Ⅱ/LC3B⁃Ⅰ值升高。(2)代谢性应激组与对照组之间的差异代谢物共442个,代谢应激性自噬组与对照组之间的差异代谢物共535个,代谢应激性自噬组与代谢性应激组之间的差异代谢物共132个。层次聚类分析结果显示,代谢性应激组与对照组的差异代谢物主要涉及有机酸及其衍生物、甘油磷脂类、脂肪酰类、鞘脂类等类别;代谢应激性自噬组与对照组相比,除上述类别外,苯及其衍生物、氨基酸及其代谢物的表达亦呈现明显的组间特异性。代谢应激性自噬组与代谢性应激组的差异代谢物富集于有机酸及其衍生物、甘油磷脂类、脂肪酰类、鞘脂类等。代谢性应激组与对照组的差异代谢物主要涉及维生素的消化与吸收、脂肪的消化与吸收等代谢通路;代谢应激性自噬组与对照组的差异代谢物主要涉及胆固醇代谢、维生素的消化与吸收,以及甘氨酸、丝氨酸和苏氨酸代谢等代谢通路;代谢应激性自噬组与代谢性应激组的差异代谢物主要涉及甘油磷脂代谢、亚油酸代谢等代谢通路,胆固醇代谢、维生素的消化与吸收、甘氨酸-丝氨酸代谢轴是差异代谢物的3条关键代谢通路。结论 代谢应激诱导的HepG2细胞自噬伴随着显著的代谢重编程。胆固醇代谢、维生素的消化与吸收,以及甘氨酸-丝氨酸代谢轴等关键代谢通路的改变是饥饿诱导自噬过程中的核心代谢特征。

Objective To investigate the changes in metabolic characteristics of human hepatocellular carcinoma HepG2 cells during metabolic stress⁃induced autophagy based on non⁃targeted metabolomics. Methods (1) HepG2 cells were divided into conventional culture group (cultured in DMEM complete medium) or 0⁃, 3⁃, and 6⁃hour starvation culture group (cultured in HBSS⁃based starvation medium for 0, 3, and 6 hours). The formation of autophagosomes in each group was detected using monodansylcadaverine (MDC) method. (2) HepG2 cells were divided into starvation group (cultured in HBSS⁃based starvation medium), chloroquine group (cultured in DMEM complete medium supplemented with 50 μmol/L chloroquine), or starvation+chloroquine group (cultured in HBSS⁃based starvation medium supplemented with 50 μmol/L chloroquine) for different time points (0, 3, and 6 hours). HepG2 cells cultured in DMEM complete medium served as the normal control group. The expressions of autophagy⁃related proteins (p62, LC3B) were detected by Western blot. (3) HepG2 cells were divided into metabolic stress⁃induced autophagy group (cultured in HBSS⁃based starvation medium for 6 hours), metabolic stress group (cultured in HBSS⁃based starvation medium for 3 hours), or control group (cultured in DMEM complete medium). Non⁃targeted metabolomics analysis was performed using ultra⁃high performance liquid chromatography⁃mass spectrometry. Differential metabolites were screened from various groups, and hierarchical clustering analysis and Kyoto Encyclopedia of Genes and Genomes pathway enrichment analysis were conducted on the differential metabolites. Results (1) After 6 hours of starvation culture, dense fluorescent granules were observed around the nucleus, and autophagosomes began to increase in a cascade manner, indicating an activated autophagic state. Compared with the chloroquine group, the starvation+chloroquine group exhibited increased p62 protein expression and a higher LC3B⁃Ⅱ/LC3B⁃Ⅰ ratio. (2) A total of 442 differential metabolites were identified between the metabolic stress group and the control group, 535 between the metabolic stress⁃induced autophagy group and the control group, and 132 between the metabolic stress⁃induced autophagy group and the metabolic stress group. Hierarchical clustering analysis indicated that differential metabolites between the metabolic stress group and the control group were mainly involved in categories such as organic acids and their derivatives, glycerophospholipids, fatty acyl, and sphingolipid. Compared with the control group, in addition to the above categories, the metabolic stress⁃induced autophagy group exhibited group⁃specific differences in expressions of benzenoids and their derivatives, amino acids and their metabolites. Differential metabolites between the metabolic stress⁃induced autophagy group and the metabolic stress group were enriched in organic acids and their derivatives, glycerophospholipids, fatty acyl, and sphingolipid, etc. Differential metabolites between the metabolic stress group and the control group were mainly involved in metabolic pathways such as vitamin digestion and absorption, and fat digestion and absorption. Differential metabolites between the metabolic stress⁃induced autophagy group and the control group were mainly involved in metabolic pathways such as cholesterol metabolism, vitamin digestion and absorption, and glycine, serine, and threonine metabolism. Differential metabolites between the metabolic stress⁃induced autophagy group and the metabolic stress group were mainly involved in metabolic pathways such as glycerophospholipid metabolism and linoleic acid metabolism. Cholesterol metabolism, vitamin digestion and absorption, and the glycine⁃serine metabolism axis were identified as three key metabolic pathways for the differential metabolites. Conclusion Autophagy induced by metabolic stress in HepG2 cells is accompanied by significant metabolic reprogramming. Alterations in key metabolic pathways including cholesterol metabolism, vitamin digestion and absorption, and the glycine⁃serine metabolism axis are core metabolic characteristics during starvation⁃induced autophagy.

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