Metabolomics approach reveals key plasma biomarkers in multiple myeloma for diagnosis, staging, and prognosis

被引:0
作者
Wang, Xiaoxue [1 ]
Cheng, Longhao [2 ]
Liu, Aijun [3 ]
Liu, Lihong [1 ,2 ]
Gong, Lili [2 ]
Shen, Guolin [4 ]
机构
[1] China Japan Friendship Hosp, Dept Pharm, Beijing 100029, Peoples R China
[2] Capital Med Univ, China Japan Friendship Hosp, Inst Clin Med Sci, State Key Lab Resp Hlth & Multimorbid, 2 YingHua Rd, Beijing 100029, Peoples R China
[3] Capital Med Univ, Beijing Chao Yang Hosp, Dept Hematol, Beijing 100020, Peoples R China
[4] Chinese Acad Inspect & Quarantine, Inst Chem Safety, 11 Rong Hua Middle Rd, Beijing 100176, Peoples R China
关键词
Multiple myeloma; Biomarkers; Metabolomics; Peripheral plasma; Metabolic pathways; MANAGEMENT; THERAPY;
D O I
10.1186/s12967-024-05848-7
中图分类号
R-3 [医学研究方法]; R3 [基础医学];
学科分类号
1001 ;
摘要
BackgroundMultiple myeloma (MM) is the most aggressive and prevalent primary malignant tumor within the blood system, and can be classified into grades RISS-I, II, and III. High-grade tumors are associated with decreased survival rates and increased recurrence rates. To better understand metabolic disorders and expand the potential targets for MM, we conducted large-scale untargeted metabolomics on plasma samples from MM patients and healthy controls (HC).MethodsOur study included 33 HC, 38 newly diagnosed MM patients (NDMM) categorized into three RISS grades (grade I: n = 5; grade II: n = 19; grade III: n = 8), and 92 MM patients post-targeted therapy with bortezomib-based regimens. Simultaneously, MM cell lines were employed for validation studies. Metabolites were analyzed and identified using ultra high liquid chromatography coupled with Q Orbitrap mass spectrometry (UPLC-HRMS), followed by verification through a self-built database.ResultsCompared with HC participants, a total of 70 metabolites were identified as undergoing significant changes in NDMM. These metabolites were significantly enriched in citrate cycle, choline metabolism, glycerophospholipid metabolism, and sphingolipid metabolism, etc. Notably, a panel of circulating plasma metabolite biomarkers, including lactic acid and leucine, has emerged not only as diagnostic indicators but also as valuable tools for tumor surveillance, aiding in the assessment of disease stage and prognostic evaluation. Moreover, 14 differential metabolites were identified in both MM cell lines and MM patients. Among these, intracellular levels of lactate and leucine significantly decreased in vitro, aligning with the plasma results.ConclusionOur findings on key metabolites and metabolic pathways provide novel insights into the exploration of diagnostic and therapeutic targets for MM. A prospective study is essential to validate these discoveries for future MM patient care.
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页数:13
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