Yang Fengmin, Du Jie, Zhang Hong, Ruan Guorui, Xiang Junfeng, Wang Lixia, Sun Hongxia, Guan Aijiao, Shen Gang, Liu Yan, Guo Xiaomeng, Li Qian, Tang Yalin
National Laboratory for Molecular Sciences, Center for Molecular Sciences, State Key Laboratory for Structural Chemistry of Unstable and Stable Species, Institute of Chemistry, Chinese Academy of Sciences, Beijing, P. R. China.
JOINN Laboratories, Inc., Beijing, P. R. China.
PLoS One. 2017 Jan 27;12(1):e0170896. doi: 10.1371/journal.pone.0170896. eCollection 2017.
Burkitt lymphoma (BL) is a rare and highly aggressive type of non-Hodgkin lymphoma. The mortality rate of BL patients is very high due to the rapid growth rate and frequent systemic spread of the disease. A better understanding of the pathogenesis, more sensitive diagnostic tools and effective treatment methods for BL are essential. Metabolomics, an important aspect of systems biology, allows the comprehensive analysis of global, dynamic and endogenous biological metabolites based on their nuclear magnetic resonance (NMR) and mass spectrometry (MS). It has already been used to investigate the pathogenesis and discover new biomarkers for disease diagnosis and prognosis. In this study, we analyzed differences of serum metabolites in BL mice and normal mice by NMR-based metabolomics. We found that metabolites associated with energy metabolism, amino acid metabolism, fatty acid metabolism and choline phospholipid metabolism were altered in BL mice. The diagnostic potential of the metabolite differences was investigated in this study. Glutamate, glycerol and choline had a high diagnostic accuracy; in contrast, isoleucine, leucine, pyruvate, lysine, α-ketoglutarate, betaine, glycine, creatine, serine, lactate, tyrosine, phenylalanine, histidine and formate enabled the accurate differentiation of BL mice from normal mice. The discovery of abnormal metabolism and relevant differential metabolites may provide useful clues for developing novel, noninvasive approaches for the diagnosis and prognosis of BL based on these potential biomarkers.
伯基特淋巴瘤（BL）是一种罕见且侵袭性很强的非霍奇金淋巴瘤。由于该疾病生长迅速且频繁发生全身扩散，BL患者的死亡率非常高。更好地了解BL的发病机制、更敏感的诊断工具和有效的治疗方法至关重要。代谢组学作为系统生物学的一个重要方面，能够基于核磁共振（NMR）和质谱（MS）对整体、动态和内源性生物代谢物进行全面分析。它已被用于研究发病机制以及发现用于疾病诊断和预后的新生物标志物。在本研究中，我们通过基于NMR的代谢组学分析了BL小鼠和正常小鼠血清代谢物的差异。我们发现与能量代谢、氨基酸代谢、脂肪酸代谢和胆碱磷脂代谢相关的代谢物在BL小鼠中发生了改变。本研究还探讨了这些代谢物差异的诊断潜力。谷氨酸、甘油和胆碱具有较高的诊断准确性；相比之下，异亮氨酸、亮氨酸、丙酮酸、赖氨酸、α-酮戊二酸、甜菜碱、甘氨酸、肌酸、丝氨酸、乳酸、酪氨酸、苯丙氨酸、组氨酸和甲酸能够准确区分BL小鼠和正常小鼠。异常代谢及相关差异代谢物的发现可能为基于这些潜在生物标志物开发用于BL诊断和预后的新型非侵入性方法提供有用线索。
