School of Pharmacy, Shenyang Pharmaceutical University, Shenyang, Liaoning Province, P. R. China.
Department of Pharmacy, Peking University People's Hospital, Beijing, P. R. China.
Biomed Chromatogr. 2021 Sep;35(9):e5136. doi: 10.1002/bmc.5136. Epub 2021 May 17.
Myelodysplastic syndrome (MDS) is a neoplastic disease originating from hematopoietic stem cells. Currently, hematopoietic stem cell transplantation (HSCT) is the most effective cure, although lenalidomide, azacytidine, and decitabine have been applied to relieve symptoms of MDS. The purpose of this study was to evaluate the changes in endogenous metabolites by applying a UHPLC-MS (ultra-high-performance liquid chromatography-MS) metabolomics approach and to investigate metabolic pathways related to MDS. An untargeted metabolomics approach based on UHPLC-MS in combination with multivariate data analysis, including partial least squares discrimination analysis and orthogonal partial least squares discriminant analysis, was established to investigate potential biomarkers in the plasma of MDS patients. As a result, 29 biomarkers were identified to distinguish between MDS patients, HSCT patients, and healthy controls, which were mainly related to inflammation regulation, amino acid metabolism, fatty acid metabolism, and energy metabolism. To our knowledge, this is the first time where plasma metabolomics was combined with HSCT to study the pathogenesis and therapeutic target of MDS. The identification of biomarkers and analysis of metabolic pathways could offer the possibility of discovering new therapeutic targets for MDS in the future.
骨髓增生异常综合征(MDS)是一种起源于造血干细胞的肿瘤性疾病。目前,造血干细胞移植(HSCT)是最有效的治疗方法,尽管来那度胺、阿扎胞苷和地西他滨已被用于缓解 MDS 的症状。本研究旨在通过应用 UHPLC-MS(超高效液相色谱-MS)代谢组学方法评估内源性代谢物的变化,并研究与 MDS 相关的代谢途径。建立了一种基于 UHPLC-MS 的非靶向代谢组学方法,并结合多元数据分析,包括偏最小二乘判别分析和正交偏最小二乘判别分析,以研究 MDS 患者血浆中的潜在生物标志物。结果鉴定出 29 种生物标志物,可区分 MDS 患者、HSCT 患者和健康对照者,这些生物标志物主要与炎症调节、氨基酸代谢、脂肪酸代谢和能量代谢有关。据我们所知,这是首次将血浆代谢组学与 HSCT 相结合,研究 MDS 的发病机制和治疗靶点。生物标志物的鉴定和代谢途径的分析为未来 MDS 新的治疗靶点的发现提供了可能。