文章摘要
瑞舒伐他汀治疗2型糖尿病动脉粥样硬化共病患者血浆代谢组学研究
Plasma metabolomics study of simvastatin treatment in patients with type 2 diabetes mellitus and atherosclerosis comorbidity
投稿时间:2023-11-15  
DOI:10.3969/j.issn.1000-0399.2024.09.002
中文关键词: 瑞舒伐他汀  2型糖尿病  动脉粥样硬化性疾病  血浆  非靶向代谢组学
英文关键词: Simvastatin  Type 2 diabetes mellitus  Atherosclerotic diseases  Plasma  Untargeted metabolomics
基金项目:2021年度阜阳师范大学横向医学研究专项培育项目(编号:2021HXYXZX13),阜阳市自筹经费科技计划项目(编号:FK202081122)
作者单位
张璐瑶 236500 安徽阜阳 阜阳市妇女儿童医院消化内分泌科 
任中干 236037 安徽阜阳 阜阳师范大学医学院 
刘奎 236500 安徽阜阳 阜阳市妇女儿童医院消化内分泌科 
华传曾 236500 安徽阜阳 阜阳市妇女儿童医院消化内分泌科 
孙培珍 236500 安徽阜阳 阜阳市妇女儿童医院消化内分泌科 
邓涛 236500 安徽阜阳 阜阳市妇女儿童医院消化内分泌科 
员婷 236500 安徽阜阳 阜阳市妇女儿童医院消化内分泌科 
范冬 236500 安徽阜阳 阜阳市妇女儿童医院消化内分泌科 
摘要点击次数: 1185
全文下载次数: 1660
中文摘要:
      目的 探讨瑞舒伐他汀治疗2型糖尿病动脉粥样硬化共病患者的血浆代谢物变化及可能代谢通路。方法 选取2022年11月至2023年6月阜阳市妇女儿童医院消化内分泌科收治的2型糖尿病动脉粥样硬化共病患者30例为研究对象,其中接受瑞舒伐他汀治疗的2型糖尿病动脉粥样硬化共病患者15例为观察组,依据年龄、性别、病程等指标1∶1匹配拒绝使用降脂药物治疗患者15例为对照组,利用液相色谱-质谱联用仪(LC-MS)分析两组患者血浆代谢差异成分,通过无监督主成分分析(PCA)、有监督偏最小二乘法分析(PLS-DA)等多维统计分析,以变量重要性因子>1、差异倍数>1.0和P<0.05为筛选条件筛选差异代谢物,对差异性代谢物进行KEGG通路富集分析。结果 与对照组对比,观察组患者治疗30 d后总胆固醇(TC)、三酰甘油(TG)、低密度脂蛋白胆固醇(LDL-C)和高密度脂蛋白胆固醇(HDL-C)水平均明显改善(P<0.05);两组患者治疗前后TC、TG、LDL-C和HDL-C水平的差值对比,差异有统计学意义(P<0.05)。两组差异代谢产物共290个;正离子模式下筛选出131种差异代谢物,其中上调代谢物89种,下调代谢物42种;负离子模式下筛选出159种差异代谢物,其中上调代谢物125种,下调代谢物34种。KEGG通路分析发现,花生四烯酸代谢,赖氨酸降解,鞘脂代谢,甘油磷脂代谢,丁酸代谢,甘氨酸、丝氨酸和苏氨酸代谢及酪氨酸代谢等7条通路可能为瑞舒伐他汀治疗2型糖尿病动脉粥样硬化共病的潜在作用通路,其中花生四烯酸代谢、赖氨酸降解、鞘脂代谢和甘油磷脂代谢通路最为显著(P均<0.01)。结论 瑞舒伐他汀可调节2型糖尿病动脉粥样硬化共病患者血浆代谢物水平,其发挥作用可能与花生四烯酸代谢、赖氨酸降解、鞘脂代谢、甘油磷脂代谢等通路有关。
英文摘要:
      Objective To investigate the plasma differential metabolites and potential mechanisms of action in patients with type 2 diabetes mellitus and atherosclerosis comorbidity treated with simvastatin. Methods A prospective case-control study was conducted on 30 patients with atherosclerosis comorbidities with type 2 diabetes who were admitted to the Department of Gastroendocrinology, Fuyang Women and Children’s Hospital from November 2022 to June 2023, and 15 patients with atherosclerotic comorbidities of type 2 diabetes who received rosuvastatin treatment were selected as the observation group. According to age, gender, disease course and other indicators 1∶1, 15 patients who refused to use lipid-lowering drugs were matched as the control group. The differences in plasma metabolism between the two groups were analyzed by liquid chromato-mass spectrometry (LC-MS), and multidimensional statistical analysis was performed by unsupervised principal component analysis (PCA) and supervised partial least square analysis (PLS-DA). Differential metabolites were screened with variable importance factor >1, difference factor >1.0 and P<0.05 as screening conditions, and KEGG pathway enrichment analysis was performed for differential metabolites. Results After 30 days of treatment, compared with the control group, the TC, TG, LDL-C, and HDL-C levels of the observation group were significantly improved (P<0.05); the difference in the changes in TC, TG, LDL-C, and HDL-C levels between the two groups before and after treatment was statistically significant (P<0.05). There were 290 different metabolites between the two groups, among which 131 differential metabolites were selected via positive ion mode, with 89 up-regulated and 42 down-regulated metabolites, and 159 differential metabolites were selected via negative ion mode, with 125 up-regulated and 34 down-regulated metabolites. KEGG pathway analysis revealed that seven pathways, including arachidonic acid metabolism, lysine degradation, sphingolipid metabolism, glycerophospholipid metabolism, butyric acid metabolism, glycine, serine and threonine metabolism, and tyrosine metabolism, may be potential pathways for the therapeutic effects of rosuvastatin on the comorbidity of type 2 diabetes and atherosclerosis. Among them, arachidonic acid metabolism, lysine degradation, sphingolipid metabolism, and glycerophospholipid metabolism were the most significant pathways (with all P<0.01). Conclusion Simvastatin can regulate the plasma metabolite levels in patients with type 2 diabetes mellitus and atherosclerosis comorbidity. Its effects may be associated with pathways such as arachidonic acid metabolism, lysine degradation, sphingolipid metabolism, and glycerophospholipid metabolism.
查看全文   查看/发表评论  下载PDF阅读器
关闭