The COVID-19 pandemic is an unprecedented threat to humanity that has provoked global health concerns. Since the etiopathogenesis of this illness is not fully characterized, the prognostic factors enabling treatment decisions have not been well documented. Accurately predicting the progression of the disease would aid in appropriate patient categorization and thus help determine the best treatment option. Here, we have introduced a proteomic approach utilizing data-independent acquisition mass spectrometry (DIA-MS) to identify the serum proteins that are closely associated with COVID-19 prognosis. Twenty-seven proteins were differentially expressed between severely ill COVID-19 patients with an adverse or favorable prognosis. Ingenuity Pathway Analysis revealed that 15 of the 27 proteins might be regulated by cytokine signaling relevant to interleukin (IL)-1β, IL-6, and tumor necrosis factor (TNF), and their differential expression was implicated in the systemic inflammatory response and in cardiovascular disorders. We further evaluated practical predictors of the clinical prognosis of severe COVID-19 patients. Subsequent ELISA assays revealed that CHI3L1 and IGFALS may serve as highly sensitive prognostic markers. Our findings can help formulate a diagnostic approach for accurately identifying COVID-19 patients with severe disease and for providing appropriate treatment based on their predicted prognosis.
【저자키워드】 viral infection, Biomarkers, Proteomic analysis, 【초록키워드】 Treatment, Necrosis, Tumor, mass spectrometry, Prognosis, IL-6, COVID-19 pandemic, diagnostic, cytokine, Prognostic markers, progression, Protein, Health, interleukin, tumor necrosis factor, Patient, Cardiovascular disorders, Prognostic factors, predictor, cytokine signaling, proteomic, COVID-19 patients, ELISA assay, TNF, COVID-19 prognosis, CHI3L1, severe disease, COVID-19 patient, Prognostic factor, best, tumor necrosis, Clinical prognosis, Serum protein, serum proteins, differential expression, severe COVID-19 patients, systemic inflammatory response, help, severely ill COVID-19 patients, IGFALS, Ingenuity Pathway Analysis, acquisition, approach, predicted, identify, the disease, evaluated, characterized, determine, introduced, regulated, implicated, differentially expressed, with COVID-19, 【제목키워드】 severe COVID-19, serum, Quantitative, proteomic, prognostic biomarker, identification, approach,