采用HPLC-HRMS和生物信息学对环磷酰胺处理的小鼠血脂谱进行比较研究

Comparative Study of Lipid Profile for Mice Treated with Cyclophosphamide by HPLC-HRMS and Bioinformatics.

作者信息

Demicheva Ekaterina, Polanco Espino Fernando Jonathan, Vedeneev Pavel, Shevyrin Vadim, Buhler Aleksey, Mukhlynina Elena, Berdiugina Olga, Mondragon Alicia Del Carmen, Cepeda Sáez Alberto, Lopez-Santamarina Aroa, Cardelle-Cobas Alejandra, Solovyova Olga, Danilova Irina, Miranda Jose Manuel, Kovaleva Elena

机构信息

Institute of Natural Sciences and Mathematics, Ural Federal University, Ekaterinburg 620075, Russia.

Institute of Immunology and Physiology of the Ural Branch of the Russian Academy of Sciences, Ekaterinburg 620049, Russia.

出版信息

Metabolites. 2025 Jan 16;15(1):60. doi: 10.3390/metabo15010060.

Immunodeficiency conditions, which are characterized by reduced immune activity that promotes the development of chronic diseases, are needed for efficient monitoring. A promising area of monitoring and early diagnosis of immunodeficiency diseases is the determination of metabolic biomarkers in the blood. In this work, we identified a set of lipid biomarkers of immunodeficiency states by performing high-performance liquid chromatography-high-resolution mass spectrometry (HPLC-HRMS) analysis of blood plasma samples from mice and processing them with bioinformatics approaches. Potential biomarkers were selected through statistical analysis and further validated by MS/MS. As a result, 15 lipids were confirmed and selected as potential biomarkers of immunodeficiency states. The selected biomarkers can be further studied and serve as promising targets for the early diagnosis of immunodeficiency diseases.

免疫缺陷病症以促进慢性病发展的免疫活性降低为特征，需要进行有效监测。监测和早期诊断免疫缺陷疾病的一个有前景的领域是测定血液中的代谢生物标志物。在这项工作中，我们通过对小鼠血浆样本进行高效液相色谱-高分辨率质谱（HPLC-HRMS）分析并用生物信息学方法进行处理，确定了一组免疫缺陷状态的脂质生物标志物。通过统计分析选择潜在生物标志物，并通过串联质谱进一步验证。结果，15种脂质被确认为免疫缺陷状态的潜在生物标志物。所选择的生物标志物可进一步研究，并作为免疫缺陷疾病早期诊断的有前景的靶点。