Department of Urology, S. Giovanni Bosco Hospital, Turin, Italy.
AAPS J. 2010 Dec;12(4):504-18. doi: 10.1208/s12248-010-9211-3. Epub 2010 Jun 12.
Current efforts to identify protein biomarkers of disease use mainly mass spectrometry (MS) to analyze tissue and blood specimens. The low-molecular-weight "peptidome" is an attractive information archive because of the facile nature by which the low-molecular-weight information freely crosses the endothelial cell barrier of the vasculature, which provides opportunity to measure disease microenvironment-associated protein analytes secreted or shed into the extracellular interstitium and from there into the circulation. However, identifying useful protein biomarkers (peptidomic or not) which could be useful to detect early detection/monitoring of disease, toxicity, doping, or drug abuse has been severely hampered because even the most sophisticated, high-resolution MS technologies have lower sensitivities than those of the immunoassays technologies now routinely used in clinical practice. Identification of novel low abundance biomarkers that are indicative of early-stage events that likely exist in the sub-nanogram per milliliter concentration range of known markers, such as prostate-specific antigen, cannot be readily detected by current MS technologies. We have developed a new nanoparticle technology that can, in one step, capture, concentrate, and separate the peptidome from high-abundance blood proteins. Herein, we describe an initial pilot study whereby the peptidome content of ovarian and prostate cancer patients is investigated with this method. Differentially abundant candidate peptidome biomarkers that appear to be specific for early-stage ovarian and prostate cancer have been identified and reveal the potential utility for this new methodology.
目前,用于识别疾病蛋白生物标志物的研究主要采用质谱(MS)技术来分析组织和血液标本。低分子量的“肽组”是一个很有吸引力的信息库,因为低分子量信息可以很容易地穿过血管内皮细胞屏障,从而有机会测量分泌到细胞外间质或从那里进入循环系统的与疾病微环境相关的蛋白质分析物。然而,要识别出有用的蛋白生物标志物(无论是肽组学还是其他)来进行疾病的早期检测/监测、毒性检测、兴奋剂检测或药物滥用检测,一直受到严重阻碍,因为即使是最复杂、高分辨率的 MS 技术,其灵敏度也低于目前临床实践中常规使用的免疫分析技术。新型低丰度生物标志物的鉴定受到阻碍,这些生物标志物表明早期事件可能存在于已知标志物(如前列腺特异性抗原)的亚纳克/毫升浓度范围内,而目前的 MS 技术无法轻易检测到。我们开发了一种新的纳米颗粒技术,它可以一步捕获、浓缩和分离高丰度血液蛋白中的肽组。在此,我们描述了一项初步的试点研究,该研究采用该方法研究卵巢癌和前列腺癌患者的肽组内容。已经确定了差异丰度的候选肽组生物标志物,它们似乎是卵巢癌和前列腺癌早期特有的,这表明这种新方法具有潜在的应用价值。