Guo Ming-Xin, Wan Lin, Sun Xiang, Zhou Xi-Han, Fang Wen-Tong, Sun Zhang-Zhang, Hu Zhi-Qiang, Xue Li-Li
Department of Pharmacy, The Affiliated Yixing Clinical School of Medical School of Yangzhou University, Yixing, China.
College of Medicine, Nantong University, Nantong, China.
Rapid Commun Mass Spectrom. 2025 Mar 30;39(6):e9968. doi: 10.1002/rcm.9968.
The aim of this study was to use metabolomics techniques to detect differential metabolites in the plasma of patients with aplastic anemia (AA). We explore important biomarkers and potential pathways in cyclosporine A (CsA) in the treatment of AA.
Plasma samples from five patients with AA before and after treatment and plasma samples from five healthy people were collected and analyzed by liquid chromatography-mass spectrometry and gas chromatography-mass spectrometry. Multivariate statistical methods were employed to screen for differential compounds, followed by enrichment analysis of the differentially metabolites.
The experimental samples showed good stability and reproducibility. A total of 167 differential metabolites, including phospholipids, amino acids, and saturated or unsaturated fatty acids, were identified between AA patients and healthy individuals. Enrichment analysis of differential metabolites revealed the involvement of pathways such as pyrimidine metabolism, galactose metabolism, pantothenate and CoA biosynthesis, and forkhead box transcription factors signaling. A total of 26 differential metabolites were identified between AA patients and stable patients after treatment. Enrichment analysis of these metabolites showed the involvement of pathways such as pyrimidine metabolism, linoleic acid/α-linoleic acid metabolism, pantothenate and CoA biosynthesis, and beta-alanine metabolism.
Significant differences in metabolites were observed between AA patients and healthy individuals, suggesting that immune-related and energy metabolism pathways may be key targets in AA treatment. CsA intervention in AA may be achieved through the regulation of immune-related metabolic pathways.
本研究旨在运用代谢组学技术检测再生障碍性贫血(AA)患者血浆中的差异代谢物。我们探索环孢素A(CsA)治疗AA过程中的重要生物标志物和潜在途径。
收集5例AA患者治疗前后的血浆样本以及5名健康人的血浆样本,采用液相色谱 - 质谱联用和气相色谱 - 质谱联用进行分析。运用多元统计方法筛选差异化合物,随后对差异代谢物进行富集分析。
实验样本显示出良好的稳定性和重现性。在AA患者与健康个体之间共鉴定出167种差异代谢物,包括磷脂、氨基酸以及饱和或不饱和脂肪酸。差异代谢物的富集分析揭示了嘧啶代谢、半乳糖代谢、泛酸和辅酶A生物合成以及叉头框转录因子信号传导等途径的参与。在AA患者与治疗后病情稳定的患者之间共鉴定出26种差异代谢物。这些代谢物的富集分析显示嘧啶代谢、亚油酸/α-亚麻酸代谢、泛酸和辅酶A生物合成以及β-丙氨酸代谢等途径的参与。
在AA患者与健康个体之间观察到代谢物存在显著差异,提示免疫相关和能量代谢途径可能是AA治疗的关键靶点。CsA对AA的干预可能是通过调节免疫相关代谢途径实现的。