Department of Organic Chemistry, Center for Research in Biological Chemistry and Molecular Materials, Santiago de Compostela University, CIQUS, Spain.
Department of Organic Chemistry, Center for Research in Biological Chemistry and Molecular Materials, Santiago de Compostela University, CIQUS, Spain; Soft Matter & Molecular Biophysics Group, Department of Applied Physics, Faculty of Physics, University of Santiago de Compostela, Spain.
J Infect Public Health. 2024 Dec;17(12):102571. doi: 10.1016/j.jiph.2024.102571. Epub 2024 Oct 23.
Persistent symptoms extending beyond the acute phase of SARS-CoV-2 infection, known as Post-COVID condition (PCC), continue to impact many individuals years after the COVID-19 pandemic began. This highlights an urgent need for a deeper understanding and effective treatments. While significant progress has been made in understanding the acute phase of COVID-19 through omics-based approaches, the proteomic alterations linked to the long-term effects of the infection remain underexplored. This study aims to investigate these proteomic changes and develop a method for stratifying disease severity.
Using Sequential Window Acquisition of All Theoretical Fragment Ion Mass Spectra (SWATH-MS) technology, we performed comprehensive proteomic profiling of blood samples from 65 PCC patients. Both plasma and pellet (cellular components) fractions were analyzed to capture a wide array of proteomic changes associated with PCC.
Proteomic profiling revealed distinct differences between symptomatic and asymptomatic PCC patients. In the plasma fraction, symptomatic patients exhibited significant upregulation of proteins involved in coagulation, immune response, oxidative stress, and various metabolic processes, while certain immunoglobulins and proteins involved in cellular stress responses were downregulated. In the pellet fraction, symptomatic patients showed upregulation of proteins related to immune response, coagulation, oxidative stress, and metabolic enzymes, with downregulation observed in components of the complement system, glycolysis enzymes, and cytoskeletal proteins. A key outcome was the development of a novel severity scale based on the concentration of identified proteins, which correlated strongly with the clinical symptoms of PCC. This scale, derived from unsupervised clustering analysis, provides precise quantification of PCC severity, enabling effective patient stratification.
The identified proteomic alterations offer valuable insights into the molecular mechanisms underlying PCC, highlighting potential biomarkers and therapeutic targets. This research supports the development of tailored clinical interventions to alleviate persistent symptoms, ultimately enhancing patient outcomes and quality of life. The quantifiable measure of disease severity aids clinicians in understanding the condition in individual patients, facilitating personalized treatment plans and accurate monitoring of disease progression and response to therapy.
SARS-CoV-2 感染急性阶段后持续存在的症状,即新冠后状况(PCC),在 COVID-19 大流行开始多年后仍继续影响许多人。这凸显了对更深入了解和有效治疗方法的迫切需求。尽管通过基于组学的方法在理解 COVID-19 的急性阶段方面取得了重大进展,但与感染长期影响相关的蛋白质组变化仍未得到充分探索。本研究旨在调查这些蛋白质组变化并开发一种疾病严重程度分层方法。
使用序贯窗口采集所有理论片段离子质谱(SWATH-MS)技术,我们对 65 名 PCC 患者的血液样本进行了全面蛋白质组学分析。分析了血浆和沉淀(细胞成分)部分,以捕获与 PCC 相关的广泛蛋白质组变化。
蛋白质组学分析揭示了有症状和无症状 PCC 患者之间的明显差异。在血浆部分,有症状患者表现出与凝血、免疫反应、氧化应激和各种代谢过程相关的蛋白质显著上调,而某些免疫球蛋白和细胞应激反应相关的蛋白质下调。在沉淀部分,有症状患者表现出与免疫反应、凝血、氧化应激和代谢酶相关的蛋白质上调,同时观察到补体系统成分、糖酵解酶和细胞骨架蛋白下调。一个关键结果是基于鉴定蛋白质的浓度开发了一种新的严重程度量表,该量表与 PCC 的临床症状密切相关。该量表源自无监督聚类分析,可精确量化 PCC 严重程度,从而有效对患者进行分层。
鉴定出的蛋白质组变化为 PCC 的分子机制提供了有价值的见解,突出了潜在的生物标志物和治疗靶点。这项研究支持开发针对特定疾病的干预措施,以减轻持续存在的症状,最终改善患者的预后和生活质量。疾病严重程度的可量化衡量有助于临床医生了解个体患者的病情,促进个性化治疗计划的制定以及对疾病进展和治疗反应的准确监测。