Pulmonary fibrosis is a devastating disease, and the pathogenesis of this disease is not completely clear. Here, the medical records of 85 Covid-19 cases were collected, among which fibrosis and progression of fibrosis were analyzed in detail. Next, data independent acquisition (DIA) quantification proteomics and untargeted metabolomics were used to screen disease-related signaling pathways through clustering and enrichment analysis of the differential expression of proteins and metabolites. The main imaging features were lesions located in the bilateral lower lobes and involvement in five lobes. The closed association pathways were FcγR-mediated phagocytosis, PPAR signaling, TRP-inflammatory pathways, and the urea cycle. Our results provide evidence for the detection of serum biomarkers and targeted therapy in patients with Covid-19.
【저자키워드】 Molecular medicine, Cell Biology, Mechanisms of disease, 【초록키워드】 metabolomics, proteomics, Pathogenesis, pulmonary fibrosis, fibrosis, progression, pulmonary, Protein, Patient, Clustering, pathway, phagocytosis, signaling pathway, metabolites, targeted therapy, serum biomarkers, quantification, disease, signaling pathways, enrichment analysis, association, Evidence, Pathways, inflammatory pathways, urea, medical records, medical record, lower lobes, lesion, differential expression, lesions, FcγR, lobes, lower lobe, acquisition, PPAR signaling, urea cycle, FIVE, feature, independent, analyzed, collected, were used, serum biomarker, 【제목키워드】 Patient, Complication, Analysis,