Bugrova Anna E, Strelnikova Polina A, Kononikhin Alexey S, Zakharova Natalia V, Diyachkova Elizaveta O, Brzhozovskiy Alexander G, Indeykina Maria I, Kurochkin Ilya N, Averyanov Alexander V, Nikolaev Evgeny N
366033 Skolkovo Institute of Science and Technology , Moscow, Russia.
Emanuel Institute of Biochemical Physics, Russian Academy of Science, Moscow, Russia.
Clin Chem Lab Med. 2024 Sep 26. doi: 10.1515/cclm-2024-0800.
The COVID-19 pandemic has exposed a number of key challenges that need to be urgently addressed. Mass spectrometric studies of blood plasma proteomics provide a deep understanding of the relationship between the severe course of infection and activation of specific pathophysiological pathways. Analysis of plasma proteins in whole blood may also be relevant for the pandemic as it requires minimal sample preparation.
The frozen whole blood samples were used to analyze 203 plasma proteins using multiple reaction monitoring (MRM) mass spectrometry and stable isotope-labeled peptide standards (SIS). A total of 131 samples (FRCC, Russia) from patients with mild (n=41), moderate (n=39) and severe (n=19) COVID-19 infection and healthy controls (n=32) were analyzed.
Levels of 94 proteins were quantified and compared. Significant differences between all of the groups were revealed for 44 proteins. Changes in the levels of 61 reproducible COVID-19 markers (SERPINA3, SERPING1, ORM1, HRG, LBP, APOA1, AHSG, AFM, ITIH2, etc.) were consistent with studies performed with serum/plasma samples. The best-performing classifier built with 10 proteins achieved the best combination of ROC-AUC (0.97-0.98) and accuracy (0.90-0.93) metrics and distinguished patients from controls, as well as patients by severity.
Here, for the first time, frozen whole blood samples were used for proteomic analysis and assessment of the status of patients with COVID-19. The results obtained with frozen whole blood samples are consistent with those from plasma and serum.
新冠疫情暴露出一些亟待解决的关键挑战。血浆蛋白质组学的质谱研究能深入了解感染严重程度与特定病理生理途径激活之间的关系。全血中血浆蛋白的分析对于疫情也可能具有相关性,因为它所需的样本制备极少。
使用冷冻全血样本,通过多反应监测(MRM)质谱和稳定同位素标记肽标准品(SIS)分析203种血浆蛋白。共分析了131份样本(俄罗斯弗拉基米尔地区临床中心),这些样本来自轻度(n = 41)、中度(n = 39)和重度(n = 19)新冠感染患者以及健康对照者(n = 32)。
对94种蛋白质的水平进行了定量和比较。发现44种蛋白质在所有组之间存在显著差异。61种可重复的新冠标志物(丝氨酸蛋白酶抑制剂A3、补体1抑制因子、α1抗胰蛋白酶、富组蛋白、脂多糖结合蛋白、载脂蛋白A1、α2 - 巨球蛋白、α - 甲胎蛋白、富含亮氨酸α2糖蛋白等)水平的变化与血清/血浆样本的研究结果一致。用10种蛋白质构建的表现最佳的分类器实现了受试者工作特征曲线下面积(ROC - AUC,0.97 - 0.98)和准确率(0.90 - 0.93)指标的最佳组合,能够区分患者与对照者,以及不同严重程度的患者。
本文首次使用冷冻全血样本进行蛋白质组学分析并评估新冠患者的病情状况。冷冻全血样本获得的结果与血浆和血清样本的结果一致。