Department of Rheumatology, Physical Medicine and Rehabilitation, Referral Center for Spondyloarthropathies, University Hospital Center Sisters of Charity, Zagreb, Croatia.
Clin Exp Rheumatol. 2013 Sep-Oct;31(5):665-71. Epub 2013 May 29.
Using proteomic approach in this study, we sought to identify proteins with heparin affinity associated with rheumatoid arthritis (RA), psoriatic arthritis (PsA) and non-inflammatory arthritis (NIA).
Plasma samples from adult RA, PsA and NIA patients, 20 of each, were collected. After enrichment of proteins with heparin affinity, SDS-PAGE and in-gel digestion with trypsin were performed. Peptides were concentrated, micro-purified, separated and measured by nano-scale HPLC system coupled to a mass spectrometer. Peak lists were generated from raw spectra and searched against human complete proteome set by MaxQuant software. Statistical analysis of protein relative expression levels was done in IPython interactive Python shell using NumPy and Matplotlib libraries. Individual protein impact on the whole dataset correlation was done by excluding one protein at a time and calculating the correlation coefficient of remaining data points.
Three hundred and eighty-four different proteins were identified keeping false discovery rate to 1%, from which 163 were identified in all three conditions. The plasma proteome showed a good correlation between rheumatoid (RA) and psoriatic arthritis (PsA). Out of 10 proteins whose impact on the correlation coefficient fell outside of two standard deviations from the mean, four were up-regulated (complement factor I, complement component C8 beta, glyceraldehyde-3-phosphate dehydrogenase and inter-alpha-trypsin inhibitor heavy chain H1), and two were down-regulated (immunoglobulin heavy chain V-III region BRO, and immunoglobulin J chain), both in PsA and RA by a similar ratio when compared to NIA. The remaining four proteins (Serpin A11, complement factor H-related protein 5, cartilage acidic protein 1 and coagulation factor IX) were down-regulated in PsA and up-regulated in RA when compared to NIA.
We found differently expressed proteins in patients with inflammatory and non-inflammatory rheumatic conditions. Out of 384 proteins with heparin affinity four proteins should be further validated as potential diagnostic biomarkers in patients with RA and PsA.
在这项研究中,我们采用蛋白质组学方法,旨在鉴定与类风湿关节炎(RA)、银屑病关节炎(PsA)和非炎症性关节炎(NIA)相关的具有肝素亲和力的蛋白质。
收集 20 例成人 RA、PsA 和 NIA 患者的血浆样本。用肝素亲和法富集蛋白后,进行 SDS-PAGE 和胰蛋白酶胶内消化。浓缩肽后,用纳升 HPLC 系统与质谱联用进行微纯化、分离和测量。从原始光谱生成峰列表,并通过 MaxQuant 软件搜索人类完整蛋白质组集。使用 NumPy 和 Matplotlib 库在 IPython 交互式 Python 外壳中对蛋白质相对表达水平进行统计分析。通过每次排除一个蛋白质并计算剩余数据点的相关系数,来确定单个蛋白质对整个数据集相关性的影响。
保留错误发现率为 1%,共鉴定出 384 种不同的蛋白质,其中 163 种在所有三种情况下均被鉴定出来。血浆蛋白质组显示 RA 和 PsA 之间具有良好的相关性。在 10 种对相关系数的影响超出平均值两个标准差的蛋白质中,有 4 种上调(补体因子 I、补体成分 C8 亚基、甘油醛-3-磷酸脱氢酶和α-胰蛋白酶抑制剂重链 H1),2 种下调(免疫球蛋白重链 V-III 区 BRO 和免疫球蛋白 J 链),与 NIA 相比,PsA 和 RA 中的比例相似。其余 4 种蛋白质(Serpin A11、补体因子 H 相关蛋白 5、软骨酸性蛋白 1 和凝血因子 IX)在 PsA 下调,在 RA 上调,与 NIA 相比。
我们在炎症性和非炎症性风湿性疾病患者中发现了具有不同表达的蛋白质。在具有肝素亲和力的 384 种蛋白质中,有 4 种蛋白质应进一步验证为 RA 和 PsA 患者的潜在诊断生物标志物。