Department of Chemistry, University of Calgary, Calgary, Canada.
Department of Physical Medicine and Rehabilitation, College of Medicine, University of Saskatchewan, Saskatoon, Canada.
PLoS One. 2022 Jan 12;17(1):e0262160. doi: 10.1371/journal.pone.0262160. eCollection 2022.
Advanced analytical methods play an important role in quantifying serum disease biomarkers. The problem of separating thousands of proteins can be reduced by analyzing for a 'sub-proteome', such as the 'metalloproteome', defined as all proteins that contain bound metals. We employed size exclusion chromatography (SEC) coupled to an inductively coupled plasma atomic emission spectrometer (ICP-AES) to analyze plasma from multiple sclerosis (MS) participants (n = 21), acute ischemic stroke (AIS) participants (n = 17) and healthy controls (n = 21) for Fe, Cu and Zn-metalloproteins. Using ANOVA analysis to compare the mean peak areas among the groups revealed no statistically significant differences for ceruloplasmin (p = 0.31), α2macroglobulin (p = 0.51) and transferrin (p = 0.31). However, a statistically significant difference was observed for the haptoglobin-hemoglobin (Hp-Hb) complex (p = 0.04), being driven by the difference between the control group and AIS (p = 0.012), but not with the MS group (p = 0.13), based on Dunnes test. A linear regression model for Hp-Hb complex with the groups now adjusted for age found no statistically significant differences between the groups (p = 0.95), but was suggestive for age (p = 0.057). To measure the strength of association between the Hp-Hb complex and age without possible modifications due to disease, we calculated the Spearman rank correlation in the healthy controls. The latter revealed a positive association (r = 0.39, 95% Confidence Interval = (-0.05, 0.83), which suggests that either the removal of Hp-Hb complexes from the blood circulation slows with age or that the release of Hb from red blood cells increases with age. We also observed that the Fe-peak corresponding to the Hp-Hb complex eluted ~100 s later in ~14% of all study samples, which was not correlated with age or disease diagnosis, but is consistent with the presence of the smaller Hp (1-1) isoform in 15% of the population.
先进的分析方法在定量血清疾病生物标志物方面发挥着重要作用。通过分析“亚蛋白质组”(如定义为所有含有结合金属的蛋白质的“金属蛋白质组”),可以减少对数千种蛋白质的分离。我们采用尺寸排阻色谱(SEC)与电感耦合等离子体原子发射光谱(ICP-AES)相结合的方法,分析多发性硬化症(MS)参与者(n=21)、急性缺血性中风(AIS)参与者(n=17)和健康对照者(n=21)的血浆中的铁、铜和锌金属蛋白。使用 ANOVA 分析比较组间平均峰面积,发现铜蓝蛋白(ceruloplasmin)(p=0.31)、α2 巨球蛋白(α2macroglobulin)(p=0.51)和转铁蛋白(transferrin)(p=0.31)的差异无统计学意义。然而,血红蛋白-血红蛋白复合物(Hp-Hb)(p=0.04)的差异有统计学意义,这是由对照组与 AIS 组之间的差异驱动的(p=0.012),但与 MS 组之间的差异无统计学意义(p=0.13),基于 Dunnes 检验。对现在按年龄调整组的 Hp-Hb 复合物进行线性回归模型分析,组间无统计学差异(p=0.95),但提示年龄有影响(p=0.057)。为了在不考虑疾病可能修饰的情况下测量 Hp-Hb 复合物与年龄之间的关联强度,我们在健康对照组中计算了 Spearman 秩相关。后者显示出正相关(r=0.39,95%置信区间=(-0.05,0.83)),这表明要么是 Hp-Hb 复合物从血液循环中的清除速度随年龄的增加而减慢,要么是血红蛋白从红细胞中的释放随年龄的增加而增加。我们还观察到,在大约 14%的所有研究样本中,与 Hp-Hb 复合物相对应的 Fe 峰在大约 100 s 后洗脱,这与年龄或疾病诊断无关,但与人群中 15%的较小 Hp(1-1)同工型的存在一致。