School of Cancer Sciences, The University of Birmingham, Birmingham, United Kingdom.
PLoS One. 2013;8(2):e56422. doi: 10.1371/journal.pone.0056422. Epub 2013 Feb 19.
Biomarker identification is becoming increasingly important for the development of personalized or stratified therapies. Metabolomics yields biomarkers indicative of phenotype that can be used to characterize transitions between health and disease, disease progression and therapeutic responses. The desire to reproducibly detect ever greater numbers of metabolites at ever diminishing levels has naturally nurtured advances in best practice for sample procurement, storage and analysis. Reciprocally, since many of the available extensive clinical archives were established prior to the metabolomics era and were not processed in such an 'ideal' fashion, considerable scepticism has arisen as to their value for metabolomic analysis. Here we have challenged that paradigm.
We performed proton nuclear magnetic resonance spectroscopy-based metabolomics on blood serum and urine samples from 32 patients representative of a total cohort of 1970 multiple myeloma patients entered into the United Kingdom Medical Research Council Myeloma IX trial.
Using serial paired blood and urine samples we detected metabolite profiles that associated with diagnosis, post-treatment remission and disease progression. These studies identified carnitine and acetylcarnitine as novel potential biomarkers of active disease both at diagnosis and relapse and as a mediator of disease associated pathologies.
These findings show that samples conventionally processed and archived can provide useful metabolomic information that has important implications for understanding the biology of myeloma, discovering new therapies and identifying biomarkers potentially useful in deciding the choice and application of therapy.
生物标志物的识别对于开发个性化或分层治疗方法变得越来越重要。代谢组学产生了可用于表征健康与疾病、疾病进展和治疗反应之间转变的表型标志物。为了能够以可重复的方式检测到越来越多、浓度越来越低的代谢物,自然而然地促进了样品采集、储存和分析的最佳实践的进步。反过来,由于许多现有的广泛的临床档案是在代谢组学时代之前建立的,并且没有以这种“理想”的方式进行处理,因此对它们在代谢组学分析中的价值产生了相当大的怀疑。在这里,我们挑战了这种模式。
我们对来自 32 名患者的血清和尿液样本进行了基于质子核磁共振波谱的代谢组学分析,这些患者代表了进入英国医学研究委员会多发性骨髓瘤 IX 试验的 1970 名多发性骨髓瘤患者的总队列。
使用系列配对的血液和尿液样本,我们检测到与诊断、治疗后缓解和疾病进展相关的代谢物图谱。这些研究发现肉碱和乙酰肉碱是活性疾病的新的潜在生物标志物,无论是在诊断时还是在复发时,以及作为与疾病相关的病理生理学的介质。
这些发现表明,经过常规处理和存档的样本可以提供有用的代谢组学信息,这对理解骨髓瘤的生物学、发现新的治疗方法以及识别可能有助于决定治疗选择和应用的有前途的生物标志物具有重要意义。