Contaifer Daniel, Roberts Catherine H, Kumar Naren Gajenthra, Natarajan Ramesh, Fisher Bernard J, Leslie Kevin, Reed Jason, Toor Amir A, Wijesinghe Dayanjan S
Department of Pharmacotherapy and Outcomes Sciences, School of Pharmacy, Virginia Commonwealth University, Richmond, VA 23298, USA.
Department of Internal Medicine, School of Medicine, Virginia Commonwealth University, Richmond, VA 23298, USA.
Cancers (Basel). 2019 Jul 25;11(8):1051. doi: 10.3390/cancers11081051.
The clinical outcome of allogeneic hematopoietic stem cell transplantation (SCT) may be influenced by the metabolic status of the recipient following conditioning, which in turn may enable risk stratification with respect to the development of transplant-associated complications such as graft vs. host disease (GVHD). To better understand the impact of the metabolic profile of transplant recipients on post-transplant alloreactivity, we investigated the metabolic signature of 14 patients undergoing myeloablative conditioning followed by either human leukocyte antigen (HLA)-matched related or unrelated donor SCT, or autologous SCT. Blood samples were taken following conditioning and prior to transplant on day 0 and the plasma was comprehensively characterized with respect to its lipidome and metabolome via liquid chromatography/mass spectrometry (LCMS) and gas chromatography/mass spectrometry (GCMS). A pro-inflammatory metabolic profile was observed in patients who eventually developed GVHD. Five potential pre-transplant biomarkers, 2-aminobutyric acid, 1-monopalmitin, diacylglycerols (DG 38:5, DG 38:6), and fatty acid FA 20:1 demonstrated high sensitivity and specificity towards predicting post-transplant GVHD. The resulting predictive model demonstrated an estimated predictive accuracy of risk stratification of 100%, with area under the curve of the ROC of 0.995. The likelihood ratio of 1-monopalmitin (infinity), DG 38:5 (6.0), and DG 38:6 (6.0) also demonstrated that a patient with a positive test result for these biomarkers following conditioning and prior to transplant will be at risk of developing GVHD. Collectively, the data suggest the possibility that pre-transplant metabolic signature may be used for risk stratification of SCT recipients with respect to development of alloreactivity.
异基因造血干细胞移植(SCT)的临床结果可能受预处理后受体代谢状态的影响,这反过来可能有助于对移植相关并发症(如移植物抗宿主病,GVHD)的发生进行风险分层。为了更好地理解移植受体代谢谱对移植后同种异体反应性的影响,我们研究了14例接受清髓性预处理,随后接受人类白细胞抗原(HLA)匹配的相关或无关供体SCT或自体SCT的患者的代谢特征。在预处理后和移植前第0天采集血样,并通过液相色谱/质谱(LCMS)和气相色谱/质谱(GCMS)对血浆的脂质组和代谢组进行全面分析。最终发生GVHD的患者呈现出促炎代谢特征。五种潜在的移植前生物标志物,2-氨基丁酸、1-单棕榈酸甘油酯、二酰基甘油(DG 38:5、DG 38:6)和脂肪酸FA 20:1对预测移植后GVHD表现出高敏感性和特异性。所得预测模型显示风险分层的估计预测准确率为100%,ROC曲线下面积为0.995。1-单棕榈酸甘油酯(无穷大)、DG 38:5(6.0)和DG 38:6(6.0)的似然比也表明,在预处理后和移植前这些生物标志物检测结果为阳性的患者有发生GVHD的风险。总体而言,数据表明移植前代谢特征可能用于对SCT受体发生同种异体反应性的风险进行分层。