Th1 cytokine endotype discriminates and predicts severe complications in COVID-19

Treatment of severe and critical cases of coronavirus disease 2019 (COVID-19) is still a top priority in public health. Previously, we reported distinct Th1 cytokines related to the pathophysiology of severe COVID-19 condition. In the present study, we investigated the association of Th1 and Th2 cytokine/chemokine endotypes with cell-mediated immunity via multiplex immunophenotyping, single-cell RNA-Seq analysis of peripheral blood mononuclear cells, and analysis of the clinical features of COVID-19 patients. Based on serum cytokine and systemic inflammatory markers, COVID-19 cases were classified into four clusters of increasing (I-IV) severity. Two prominent clusters were of interest and could be used as prognostic reference for a targeted treatment of severe COVID-19 cases. Cluster III reflected severe/critical pathology and was characterized by decreased in CCL17 levels and increase in IL-6, C-reactive protein CXCL9, IL-18, and IL-10 levels. The second cluster (Cluster II) showed mild to moderate pathology and was characterized by predominated CXCL9 and IL-18 levels, levels of IL-6 and CRP were relatively low. Cluster II patients received anti-inflammatory treatment in early-stage, which may have led prevent disease prognosis which is accompanied to IL-6 and CRP induction. In Cluster III, a decrease in the proportion of effector T cells with signs of T cell exhaustion was observed. This study highlights the mechanisms of endotype clustering based on specific inflammatory markers in related the clinical outcome of COVID-19.

Type 1 inflammatory endotype relates to low compliance, lung fibrosis, and severe complications in COVID-19.

BACKGROUND: Coronavirus disease 2019 (COVID-19) is an acute respiratory disease; approximately 5% of patients developing severe COVID-19. It is known that cytokine release is associated with disease severity, but the relationship between the different clinical phenotypes and inflammatory endotypes is not well understood. OBJECTIVE: This study investigated the association between inflammatory biomarker-based endotypes and severe COVID-19 phenotypes. METHODS: Interleukin (IL) -6, C-reactive protein (CRP), C-X-C motif chemokine (CXCL) 9, IL-18, C-C motif chemokine (CCL) 3, CCL17, IL-10, and vascular endothelial growth factor (VEGF) were measured in 57 COVID-19 patients, and their association with clinical characteristics was examined using a cluster analysis. RESULTS: Significantly higher blood levels of the eight inflammatory markers were noted in patients who developed acute respiratory distress syndrome (ARDS) than in those who did not develop ARDS (non-ARDS). Using a cluster analysis, the patient groups were classified into four clusters, of which two had patients with high IL-6 and CRP levels. In the cluster with high levels of Type 1 (T1) inflammatory markers such as CXCL9 and IL-18, 85% of the patients had ARDS, 65% of the patients developed acute kidney injury (AKI), and 78% of the patients developed pulmonary fibrosis. CONCLUSIONS: In the cluster with high levels of T1 inflammatory markers, the patients frequently suffered from tissue damage, manifested as ARDS and AKI. Our findings identified distinct T1 inflammatory endotypes of COVID-19 and suggest the importance of controlling inflammation by monitoring T1 biomarkers and treating accordingly to limit the severity of the disease.

Quantification of Amyloid-ß in Plasma by Simple and Highly Sensitive Immunoaffinity Enrichment and LC-MS/MS Assay.

BACKGROUND: Numerous immunoassays have been developed to quantify amyloid ß1-40 (Aß40) and amyloid ß1-42 (Aß42). Nevertheless, given the low concentration of Aß and the high levels of interfering factors in plasma, quantification of plasma Aß is still challenging. To overcome the problems related to the specificity of Aß immunoassays, this study aimed to develop an immunoaffinity enrichment and LC-MS/MS (IA-MS) assay. METHODS: We developed an IA-MS assay using antibody-labeled magnetic beads for purification and LC-MS/MS for Aß quantification. To avoid the loss of Aß due to aggregation in acidic buffer, we used alkaline elution buffer for immunoaffinity enrichment. The concentrations of the Aßs in plasma samples were measured, and the correlation between the plasma and cerebrospinal fluid (CSF) Aß42/Aß40 ratio was also evaluated. RESULTS: The intensities of the Aß mass peaks were significantly higher with the alkaline elution buffer than with the acidic elution buffer (Aß40: 3.6-fold, Aß42: 5.4-fold). This assay exhibited high reproducibility (intra-assay and inter-assay precision, %CV <15), and the working ranges of Aß40 and Aß42 were determined to be 21.7 to 692.8 pg/mL and 5.6 to 180.6 pg/mL, respectively. The concentrations of Aß40 and Aß42 in plasma were measured by IA-MS, and the plasma Aß42/Aß40 ratio was correlated with the CSF Aß42/Aß40 ratio (rs = 0.439, P < 0.01). CONCLUSIONS: The IA-MS assay has sufficient analytic performance for measuring endogenous Aß40 and Aß42 in plasma. This assay can lead to new lines of clinical discovery related to amyloid pathology.