Wang Guoqiang, Ye Xuan, Lu Ting, Yang Yunxi, Sun Bingwei, Xiao Hui
Department of Oncology, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou, 215002, Jiangsu Province, China.
Department of Endocrinology, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou, 215002, Jiangsu Province, China.
Sci Rep. 2025 Jul 1;15(1):21081. doi: 10.1038/s41598-025-07905-7.
Hashimoto's Thyroiditis (HT) is an autoimmune disorder characterized by metabolic disturbances. However, a comprehensive metabolic and lipid profile of HT has not been reported. The metabolic and lipid profile of HT can be comprehensively analyzed through metabolomics and lipidomics technologies, providing a detailed understanding of the disease's biochemical alterations. Plasma samples were obtained from 20 mice, comprising 10 from the control group and 10 from the HT group. Plasma metabolomics and lipidomics were analyzed via LC-MS/MS. PCA, PLS-DA, and OPLS-DA of the preprocessed data matrix were conducted using the ropls package (V.1.6.2) in R. The identification of significant differential metabolites was based on the VIP scores in the OPLS-DA model and p-values (Student's t-test). Metabolites (VIP exceeding 1 and p < 0.05) were classified as significantly different. Pathway annotation of these metabolites was carried out using the KEGG database to identify associated metabolic pathways. Pathway enrichment analysis was performed using the Python scipy. Stats package, with Fisher's exact test employed to identify biological pathways most relevant to the experimental conditions. Metabolomics identified 6384 metabolites (2943 in positive ion mode and 3441 in negative), with 195 differential metabolites, comprising 114 upregulated and 81 downregulated in the HT group. Lipidomics analysis revealed 1054 lipid metabolites (695 detected in positive ion mode and 359 in negative), and 247 differentially expressed lipids were identified, including 165 upregulated and 82 downregulated in the HT group. KEGG enrichment analysis indicated that metabolites upregulated in the HT group were primarily associated with pathways such as Autophagy, Choline metabolism, PPAR signaling, and Glycerophospholipid metabolism. In contrast, pathways involved in Apoptosis, Cholesterol metabolism, Sphingolipid metabolism, EGFR tyrosine kinase inhibitor resistance, Th1 and Th2 cell differentiation, viral infection, and Chemokine signaling were suppressed. Metabolic and lipidomic dysregulation was observed in HT animal models, with pronounced alterations in Phospholipids, Eicosanoids, and Carnitines. Choline, Glycerophospholipid, and Linoleic acid metabolism pathways exhibited significant enrichment in HT.
桥本甲状腺炎(HT)是一种以代谢紊乱为特征的自身免疫性疾病。然而,尚未有关于HT全面代谢和脂质谱的报道。通过代谢组学和脂质组学技术可以全面分析HT的代谢和脂质谱,从而详细了解该疾病的生化改变。从20只小鼠获取血浆样本,其中对照组10只,HT组10只。通过液相色谱-串联质谱法(LC-MS/MS)分析血浆代谢组学和脂质组学。使用R语言中的ropls包(版本1.6.2)对预处理后的数据矩阵进行主成分分析(PCA)、偏最小二乘判别分析(PLS-DA)和正交偏最小二乘判别分析(OPLS-DA)。基于OPLS-DA模型中的变量重要性投影(VIP)得分和p值(学生t检验)来鉴定显著差异代谢物。将VIP超过1且p < 0.05的代谢物分类为显著差异代谢物。使用京都基因与基因组百科全书(KEGG)数据库对这些代谢物进行通路注释,以识别相关的代谢途径。使用Python的scipy.stats包进行通路富集分析,采用Fisher精确检验来识别与实验条件最相关的生物学途径。代谢组学鉴定出6384种代谢物(正离子模式下2943种,负离子模式下3441种),其中有195种差异代谢物,HT组中114种上调,81种下调。脂质组学分析显示1054种脂质代谢物(正离子模式下检测到695种,负离子模式下359种),并鉴定出247种差异表达的脂质,HT组中165种上调,82种下调。KEGG富集分析表明,HT组中上调的代谢物主要与自噬、胆碱代谢、过氧化物酶体增殖物激活受体(PPAR)信号传导和甘油磷脂代谢等途径相关。相比之下,凋亡、胆固醇代谢、鞘脂代谢、表皮生长因子受体(EGFR)酪氨酸激酶抑制剂抗性、Th1和Th2细胞分化、病毒感染以及趋化因子信号传导等途径受到抑制。在HT动物模型中观察到代谢和脂质组学失调,磷脂、类二十烷酸和肉碱有明显改变。胆碱、甘油磷脂和亚油酸代谢途径在HT中表现出显著富集。