ABSTRACT
Background: Although the development of vaccines has considerably reduced the severity of COVID-19, its incidence is still high. Hence, a targeted approach based on RNA endotypes of a population should be developed to help design biomarker-based therapies for COVID-19. Objectives: We evaluated the major RNAs transcribed in blood cells during COVID-19 using PCR to further elucidate its pathogenesis and determine predictive phenotypes in COVID-19 patients. Study design: In a discovery cohort of 40 patients with COVID-19, 26,354 RNAs were measured on day 1 and day 7. Five RNAs associated with disease severity and prognosis were derived. In a validation cohort of 153 patients with COVID-19 treated in the intensive care unit, we focused on prolactin (PRL), and toll-like receptor 3 (TLR3) among RNAs, which have a strong association with prognosis, and evaluated the accuracy for predicting survival of PRL-to-TL3 ratios (PRL/TLR3) with the areas under the ROC curves (AUC). The validation cohort was divided into two groups based on the cut-off value in the ROC curve with the maximum AUC. The two groups were defined by high PRL/TLR3 (n=47) and low PRL/TLR3 groups (n=106) and the clinical outcomes were compared. Results: In the validation cohort, the AUC for PRL/TLR3 was 0.79, showing superior prognostic ability compared to severity scores such as APACHE II and SOFA. The high PRL/TLR3 group had a significantly higher 28-day mortality than the low PRL/TLR3 group (17.0% vs 0.9%, P<0.01). Conclusions: A new RNA endotype classified using high PRL/TLR3 was associated with mortality in COVID-19 patients.
Subject(s)
COVID-19ABSTRACT
Using single-cell proteomics by mass cytometry, we investigate changes to a broad selection of over 10,000,000 immune cells in a cohort of moderate, severe, and critical Japanese COVID-19 patients and healthy controls with a particular focus on regulatory T-cells (Tregs). We find significant disruption within all compartments of the immune system and the emergence of atypical CTLA-4high CD4 T-cells and proliferating HLA-DRlowCD38high Tregs associated with critical patients. We also observed disrupted regulation of humoral immunity in COVID-19, with a loss of circulating T follicular regulatory T cells (Tfr) and altered T follicular helper (Tfh)/Tfr and plasma cell/Tfr ratios, all of which are significantly lower in male patients. Shifting ratios of CXCR4 and CXCR5 expression in B-cells provides further evidence of an autoimmune phenotype and dysregulated humoral immunity. These results suggest that Tregs are central to the changing cellular networks of a wide range of cells in COVID-19 and that sex specific differences to the balance of Tfr, Tfh and plasma cells may have important implications for the specificity of the humoral immune response to SARS-CoV-2.
Subject(s)
COVID-19ABSTRACT
Background: Resistin increases in septic subjects and is associated with severity and prognosis. Its role in Coronavirus disease 2019 (COVID-19) is unknown. We investigated relationships between resistin and the severity, prognosis and time to wean off mechanical ventilation (MV) in two cohorts. Methods: : Plasma resistin was available for 306 mild-to-critical COVID-19 patients on days 1, 4 and 8 from the Massachusetts General Hospital Emergency Department COVID-19 (MGH) cohort public proteomics data. The relationship between resistin and severity (World Health Organization COVID-19 outcomes) and the prognosis were evaluated. A cohort of 62 critical COVID-19 patients (Osaka cohort) was used to evaluate the relationship between resistin on days 1 (day of ICU admission), 2–3, 6–8 and 11–15 and the prognosis and time to wean off MV. Correlations among resistin, inflammatory cytokines and endothelial damage markers were evaluated. Results: : In the MGH cohort, day 1 resistin was associated with severity and predicted the prognosis in an ROC analysis (AUC, 0.739; 95% CI, 0.659–0.819). Twenty-eight-day non-survivors showed significantly greater resistin levels than 28-day survivors on days 1, 4 and 8. In the Osaka cohort, a Cox proportional hazards model (time dependent) showed a significant relationship between resistin and time to wean off MV (crude hazard ratio, 0.702 [95% CI, 0.508–0.969]). Resistin formed a network with inflammatory cytokines and endothelial damage markers. Conclusions: : Resistin was associated with severity, prognosis and time to wean off MV in COVID-19 patients. Resistin formed a network with inflammatory cytokines and endothelial damage markers, suggesting its contribution to the pathogenesis of COVID-19.
Subject(s)
Alzheimer Disease , Emergencies , COVID-19 , Corneal Endothelial Cell LossABSTRACT
To elucidate the host genetic loci affecting severity of SARS-CoV-2 infection, or Coronavirus disease 2019 (COVID-19), is an emerging issue in the face of the current devastating pandemic. Here, we report a genome-wide association study (GWAS) of COVID-19 in a Japanese population led by the Japan COVID-19 Task Force, as one of the initial discovery GWAS studies performed on a non-European population. Enrolling a total of 2,393 cases and 3,289 controls, we not only replicated previously reported COVID-19 risk variants (e.g., LZTFL1, FOXP4, ABO, and IFNAR2), but also found a variant on 5p35 (rs60200309-A at DOCK2) that was significantly associated with severe COVID-19 in younger (<65 years of age) patients with a genome-wide significant p-value of 1.2 x 10-8 (odds ratio = 2.01, 95% confidence interval = 1.58-2.55). This risk allele was prevalent in East Asians, including Japanese (minor allele frequency [MAF] = 0.097), but rarely found in Europeans. Cross-population Mendelian randomization analysis made a causal inference of a number of complex human traits on COVID-19. In particular, obesity had a significant impact on severe COVID-19. The presence of the population-specific risk allele underscores the need of non-European studies of COVID-19 host genetics.