Fredolini Claudia, Dodig-Crnković Tea, Bendes Annika, Dahl Leo, Dale Matilda, Albrecht Vincent, Mattsson Cecilia, Thomas Cecilia E, Torinsson Naluai Åsa, Gisslen Magnus, Beck Olof, Roxhed Niclas, Schwenk Jochen M
Department of Protein Science, SciLifeLab, KTH Royal Institute of Technology, 171 65, Solna, Sweden.
Affinity Proteomics Unit, SciLifeLab Infrastructure, KTH Royal Institute of Technology, 171 65, Solna, Sweden.
Commun Med (Lond). 2024 Apr 2;4(1):55. doi: 10.1038/s43856-024-00480-4.
Self-sampling of dried blood spots (DBS) offers new routes to gather valuable health-related information from the general population. Yet, the utility of using deep proteome profiling from home-sampled DBS to obtain clinically relevant insights about SARS-CoV-2 infections remains largely unexplored.
Our study involved 228 individuals from the general Swedish population who used a volumetric DBS sampling device and completed questionnaires at home during spring 2020 and summer 2021. Using multi-analyte COVID-19 serology, we stratified the donors by their response phenotypes, divided them into three study sets, and analyzed 276 proteins by proximity extension assays (PEA). After normalizing the data to account for variances in layman-collected samples, we investigated the association of DBS proteomes with serology and self-reported information.
Our three studies display highly consistent variance of protein levels and share associations of proteins with sex (e.g., MMP3) and age (e.g., GDF-15). Studying seropositive (IgG) and seronegative (IgG) donors from the first pandemic wave reveals a network of proteins reflecting immunity, inflammation, coagulation, and stress response. A comparison of the early-infection phase (IgMIgG) with the post-infection phase (IgMIgG) indicates several proteins from the respiratory system. In DBS from the later pandemic wave, we find that levels of a virus receptor on B-cells differ between seropositive (IgG) and seronegative (IgG) donors.
Proteome analysis of volumetric self-sampled DBS facilitates precise analysis of clinically relevant proteins, including those secreted into the circulation or found on blood cells, augmenting previous COVID-19 reports with clinical blood collections. Our population surveys support the usefulness of DBS, underscoring the role of timing the sample collection to complement clinical and precision health monitoring initiatives.
干血斑(DBS)的自我采样为从普通人群中收集有价值的健康相关信息提供了新途径。然而,利用在家采集的DBS进行深度蛋白质组分析以获得关于SARS-CoV-2感染的临床相关见解的实用性在很大程度上仍未得到探索。
我们的研究涉及228名来自瑞典普通人群的个体,他们在2020年春季和2021年夏季使用了体积DBS采样装置并在家中完成了问卷调查。使用多分析物COVID-19血清学,我们根据捐赠者的反应表型对他们进行分层,将他们分为三个研究组,并通过邻近延伸分析(PEA)分析276种蛋白质。在对数据进行归一化以考虑外行人采集样本中的差异后,我们研究了DBS蛋白质组与血清学和自我报告信息之间的关联。
我们的三项研究显示蛋白质水平具有高度一致的差异,并且蛋白质与性别(如MMP3)和年龄(如GDF-15)存在共同关联。对第一波疫情期间的血清阳性(IgG)和血清阴性(IgG)捐赠者进行研究,发现了一个反映免疫、炎症、凝血和应激反应的蛋白质网络。早期感染阶段(IgM+IgG)与感染后阶段(IgM-IgG)的比较表明,呼吸系统中有几种蛋白质。在疫情后期的DBS中,我们发现血清阳性(IgG)和血清阴性(IgG)捐赠者之间B细胞上病毒受体的水平存在差异。
对体积自我采样的DBS进行蛋白质组分析有助于对临床相关蛋白质进行精确分析,包括那些分泌到循环系统中或存在于血细胞上的蛋白质,通过临床血液采集增强了先前关于COVID-19的报告。我们的人群调查支持DBS的实用性,强调了确定样本采集时间以补充临床和精准健康监测计划的作用。