Résumé
BACKGROUND: Timely medical intervention in severe cases of coronavirus disease 2019 (COVID-19) and better understanding of the disease's pathogenesis are essential for reducing mortality, but early classification of severe cases and its progression is challenging. OBJECTIVE: We investigated the levels of circulating phospholipid metabolites and their relationship with COVID-19 severity, as well as the potential role of phospholipids in disease progression. METHODS: We performed nontargeted lipidomic analysis of plasma samples (n = 150) collected from COVID-19 patients (n = 46) with 3 levels of disease severity, healthy individuals, and subjects with metabolic disease. RESULTS: Phospholipid metabolism was significantly altered in COVID-19 patients. Results of a panel of phosphatidylcholine (PC) and lysophosphatidylcholine (LPC) and of phosphatidylethanolamine and lysophosphatidylethanolamine (LPE) ratios were significantly correlated with COVID-19 severity, in which 16 phospholipid ratios were shown to distinguish between patients with severe disease, mild disease, and healthy controls, 9 of which were at variance with those in subjects with metabolic disease. In particular, relatively lower ratios of circulating (PC16:1/22:6)/LPC 16:1 and (PE18:1/22:6)/LPE 18:1 were the most indicative of severe COVID-19. The elevation of levels of LPC 16:1 and LPE 18:1 contributed to the changes of related lipid ratios. An exploratory functional study of LPC 16:1 and LPE 18:1 demonstrated their ability in causing membrane perturbation, increased intracellular calcium, cytokines, and apoptosis in cellular models. CONCLUSION: Significant Lands cycle remodeling is present in patients with severe COVID-19, suggesting a potential utility of selective phospholipids with functional consequences in evaluating COVID-19's severity and pathogenesis.
Sujets)
COVID-19 , Phospholipides , Humains , Phospholipides/métabolisme , Lysolécithine/métabolismeRésumé
Graphical Background Timely medical interventions in severe cases of COVID-19 and better understanding of the pathogenesis are essential for reducing the mortality, but early classification of severe cases and its progression is challenging. Objective To investigate the levels of circulating phospholipid metabolites and their relationship with the severity of COVID-19 and the potential role of phospholipids in the progression of the disease. Methods In this study, we performed non-targeted lipidomic analysis of plasma samples (n=150) collected from COVID-19 patients (N=46) with three levels of severity, healthy individuals and subjects with metabolic diseases. Results Results showed that phospholipid metabolism was significantly altered in COVID-19 patients. A panel of phosphatidylcholine (PC) and lysophosphatidylcholine (LPC) and of phosphatidylethanolamine (PE) and lysophosphatidylethanolamine (LPE) ratios were significantly correlated with the severity of COVID-19, in which 16 phospholipid ratios were shown to distinguish severe patients from mild cases and healthy controls, and 9 of which were at variance with those in subjects with metabolic diseases. In particular, relatively lower ratios of circulating (PC16:1/22:6)/LPC16:1 and (PE18:1/22:6)/LPE18:1 were the most indicative of severe COVID-19. The elevation of levels of LPC16:1 and LPE18:1 contributed to the changes of related lipid ratios. An exploratory functional study of LPC16:1 and LPE18:1 demonstrated their ability in causing membrane perturbation, increased intracellular calcium, cytokines, and apoptosis in cellular models. Conclusion These results demonstrate significant Lands cycle remodeling in patients with severe COVID-19, and suggest the potential utility of selective phospholipids with functional consequences in evaluating COVID-19 severity and its pathogenesis. Phospholipid ratio correlated with the severity of COVID-19, and the biological functions of phospholipid derivatives may be associated with exacerbation of the disease
Résumé
We previously observed enhanced immunoglobulin A (IgA) responses in severe COVID-19, which might confer damaging effects. Given the important role of IgA in immune and inflammatory responses, the aim of this study was to investigate the dynamic response of the IgA isotype switch factor TGF-ß1 in COVID-19 patients. We observed, in a total of 153 COVID-19 patients, that the serum levels of TGF-ß1 were increased significantly at the early and middle stages of COVID-19, and correlated with the levels of SARS-CoV-2-specific IgA, as well as with the APACHE II score in patients with severe disease. In view of the genetic association of the TGF-ß1 activator THBS3 with severe COVID-19 identified by the COVID-19 Host Genetics Initiative, this study suggests TGF-ß1 may play a key role in COVID-19.
Sujets)
COVID-19/immunologie , Immunoglobuline A/sang , SARS-CoV-2/immunologie , Thrombospondines/génétique , Facteur de croissance transformant bêta-1/sang , Indice APACHE , Adulte , Sujet âgé , Anticorps antiviraux/sang , COVID-19/sang , COVID-19/génétique , Femelle , Humains , Immunoglobuline A/métabolisme , Mâle , Adulte d'âge moyen , Polymorphisme de nucléotide simpleRésumé
Previous studies have revealed a diagnostic role of pathogen-specific IgA in respiratory infections. However, co-detection of serum specific IgA for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and common respiratory pathogens remains largely unexplored. This study utilizes a protein microarray technology for simultaneous and quantitative measurements of specific IgAs for eight different respiratory pathogens including adenovirus, respiratory syncytial virus, influenza virus type A, influenza virus type B, parainfluenza virus, mycoplasma pneumoniae, chlamydia pneumoniae, and SARS-CoV-2 in serum sample of patients with coronavirus disease 2019 (COVID-19). A total of 42 patients with COVID-19 were included and categorized into severe cases (20 cases) and nonsevere cases (22 cases). The results showed that co-detection rate of specific-IgA for SARS-CoV-2 with at least one pathogen were significantly higher in severe cases than that of nonsevere cases (72.2% vs. 46.2%, p = .014). Our study indicates that co-detection of IgA antibodies for respiratory pathogens might provide diagnostic value for the clinics and also be informative for risk stratification and disease management in patients with COVID-19.