Guldbrandsen Astrid, Lereim Ragnhild Reehorst, Jacobsen Mari, Garberg Hilde, Kroksveen Ann Cathrine, Barsnes Harald, Berven Frode S
Proteomics Unit, PROBE, Department of Biomedicine, University of Bergen, Bergen, Norway.
Computational Biology Unit, CBU, Department of Informatics, University of Bergen, Bergen, Norway.
Clin Proteomics. 2020 Sep 18;17:33. doi: 10.1186/s12014-020-09296-5. eCollection 2020.
Verification of cerebrospinal fluid (CSF) biomarkers for multiple sclerosis and other neurological diseases is a major challenge due to a large number of candidates, limited sample material availability, disease and biological heterogeneity, and the lack of standardized assays. Furthermore, verification studies are often based on a low number of proteins from a single discovery experiment in medium-sized cohorts, where antibodies and surrogate peptides may differ, thus only providing an indication of proteins affected by the disease and not revealing the bigger picture or concluding on the validity of the markers. We here present a standard approach for locating promising biomarker candidates based on existing knowledge, resulting in high-quality assays covering the main biological processes affected by multiple sclerosis for comparable measurements over time.
Biomarker candidates were located in CSF-PR (proteomics.uib.no/csf-pr), and further filtered based on estimated concentration in CSF and biological function. Peptide surrogates for internal standards were selected according to relevant criteria, parallel reaction monitoring (PRM) assays created, and extensive assay quality testing performed, i.e. intra- and inter-day variation, trypsin digestion status over time, and whether the peptides were able to separate multiple sclerosis patients and controls.
Assays were developed for 25 proteins, represented by 72 peptides selected according to relevant guidelines and available literature and tested for assay peptide suitability. Stability testing revealed 64 peptides with low intra- and inter-day variations, with 44 also being stably digested after 16 h of trypsin digestion, and 37 furthermore showing a significant difference between multiple sclerosis and controls, thereby confirming literature findings. Calibration curves and the linear area of measurement have, so far, been determined for 17 of these peptides.
We present 37 high-quality PRM assays across 21 CSF-proteins found to be affected by multiple sclerosis, along with a recommended workflow for future development of new assays. The assays can directly be used by others, thus enabling better comparison between studies. Finally, the assays can robustly and stably monitor biological processes in multiple sclerosis patients over time, thus potentially aiding in diagnosis and prognosis, and ultimately in treatment decisions.
由于候选生物标志物数量众多、样本材料有限、疾病和生物学异质性以及缺乏标准化检测方法,脑脊液(CSF)生物标志物在多发性硬化症和其他神经系统疾病中的验证是一项重大挑战。此外,验证研究通常基于中型队列中单个发现实验的少量蛋白质,其中抗体和替代肽可能不同,因此只能提供受疾病影响的蛋白质的指示,而无法揭示全貌或得出标志物有效性的结论。我们在此提出一种基于现有知识定位有前景的生物标志物候选物的标准方法,从而产生高质量的检测方法,涵盖多发性硬化症影响的主要生物学过程,以便进行随时间的可比测量。
在CSF-PR(proteomics.uib.no/csf-pr)中定位生物标志物候选物,并根据CSF中的估计浓度和生物学功能进一步筛选。根据相关标准选择内标肽替代物,创建平行反应监测(PRM)检测方法,并进行广泛的检测质量测试,即日内和日间变化、随时间的胰蛋白酶消化状态,以及这些肽是否能够区分多发性硬化症患者和对照。
针对25种蛋白质开发了检测方法,这些蛋白质由根据相关指南和现有文献选择的72种肽代表,并对检测肽的适用性进行了测试。稳定性测试显示64种肽的日内和日间变化较低,其中44种在胰蛋白酶消化16小时后也能稳定消化,37种在多发性硬化症患者和对照之间显示出显著差异,从而证实了文献研究结果。到目前为止,已为其中17种肽确定了校准曲线和线性测量范围。
我们提出了针对21种受多发性硬化症影响的脑脊液蛋白质的37种高质量PRM检测方法,以及新检测方法未来开发的推荐工作流程。这些检测方法可供其他人直接使用,从而实现更好的研究间比较。最后,这些检测方法可以随时间稳健且稳定地监测多发性硬化症患者的生物学过程,从而可能有助于诊断和预后,并最终辅助治疗决策。