Proteomic analysis of post-COVID condition: Insights from plasma and pellet blood fractions

被引:2
|
作者
Seco-Gonzalez, Alejandro [1 ]
Antelo-Riveiro, Paula [1 ,2 ]
Bravo, Susana B. [3 ]
Garrido, P. F. [4 ]
Dominguez-Santalla, M. J. [5 ]
Rodriguez-Ruiz, E. [6 ,7 ,8 ]
Pineiro, A. [2 ]
Garcia-Fandino, R. [1 ]
机构
[1] Santiago de Compostela Univ, Ctr Res Biol Chem & Mol Mat, Dept Organ Chem, CIQUS, Santiago, Spain
[2] Univ Santiago de Compostela, Fac Phys, Dept Appl Phys, Soft Matter & Mol Biophys Grp, Santiago, Spain
[3] Complejo Hosp Univ Santiago de Compostela CHUS, Proteom Unit, Inst Invest Sanit IDIS, Santiago De Compostela, Spain
[4] Univ Oslo, Fac Math & Nat Sci, Dept Phys, N-0371 Oslo, Norway
[5] Univ Clin Hosp Santiago de Compostela CHUS, Internal Med Dept, Galician Publ Hlth Syst SERGAS, Santiago De Compostela, Spain
[6] Univ Clin Hosp Santiago De Compostela CHUS, Intens Care Med Dept, Galician Publ Hlth Syst SERGAS, Santiago De Compostela, Spain
[7] Hlth Res Inst Santiago de Compostela IDIS, Simulat Life Support & Intens Care Res Unit Santia, Santiago De Compostela, Spain
[8] Univ Santiago de Compostela, CLINURSID Res Grp, Santiago De Compostela, Spain
关键词
Post-COVID condition; Proteomics; Sequential Window Acquisition of All; Theoretical Fragment Ion Mass Spectra; (SWATH-MS); Protein biomarkers; Disease severity quantification; Blood fractions;
D O I
10.1016/j.jiph.2024.102571
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
Background: Persistent symptoms extending beyond the acute phase of SARS-CoV-2 infection, known as PostCOVID 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. Methods: 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. Results: 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. Conclusions: 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. (c) 2024 The Authors. Published by Elsevier Ltd on behalf of King Saud Bin Abdulaziz University for Health Sciences. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
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页数:18
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