Data-driven analysis of COVID-19 reveals specific severity patterns distinct from the temporal immune response

Key immune signatures of SARS-CoV-2 infection may associate with either adverse immune reactions (severity) or simply an ongoing anti-viral response (temporality); how immune signatures contribute to severe manifestations and/or temporal progression of disease and whether longer disease duration correlates with severity remain unknown. Patient blood was comprehensively immunophenotyped via mass cytometry and multiplex cytokine arrays, leading to the identification of 327 basic subsets that were further stratified into more than 5000 immunotypes and correlated with 28 plasma cytokines. Low-density neutrophil abundance was closely correlated with hepatocyte growth factor levels, which in turn correlated with disease severity. Deep analysis also revealed additional players, namely conventional type 2 dendritic cells, natural killer T cells, plasmablasts and CD16+ monocytes, that can influence COVID-19 severity independent of temporal progression. Herein, we provide interactive network analysis and data visualization tools to facilitate data mining and hypothesis generation for elucidating COVID-19 pathogenesis.

Convalescent COVID-19 patients are susceptible to endothelial dysfunction due to persistent immune activation

The rapid rise of coronavirus disease 2019 patients who suffer from vascular events after their initial recovery is expected to lead to a worldwide shift in disease burden. We aim to investigate the impact of COVID-19 on the pathophysiological state of blood vessels in convalescent patients. Here, convalescent COVID-19 patients with or without preexisting conditions (i.e. hypertension, diabetes, hyperlipidemia) were compared to non-COVID-19 patients with matched cardiovascular risk factors or healthy participants. Convalescent patients had elevated circulating endothelial cells (CECs), and those with underlying cardiovascular risk had more pronounced endothelial activation hallmarks (ICAM1, P-selectin or CX3CL1) expressed by CECs. Multiplex microbead-based immunoassays revealed some levels of cytokine production sustained from acute infection to recovery phase. Several proinflammatory and activated T lymphocyte-associated cytokines correlated positively with CEC measures, implicating cytokine-driven endothelial dysfunction. Finally, the activation markers detected on CECs mapped to the counter receptors (i.e. ITGAL, SELPLG, and CX3CR1) found primarily on CD8+ T cells and natural killer cells, suggesting that activated endothelial cells could be targeted by cytotoxic effector cells. Clinical trials in preventive therapy for post-COVID-19 vascular complications may be needed. Graphical abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=69 SRC="FIGDIR/small/20232835v1_ufig1.gif" ALT="Figure 1"> View larger version (19K): org.highwire.dtl.DTLVardef@d34a61org.highwire.dtl.DTLVardef@1b82feeorg.highwire.dtl.DTLVardef@152ea88org.highwire.dtl.DTLVardef@a3b382_HPS_FORMAT_FIGEXP M_FIG C_FIG

Neutralizing antibodies from early cases of SARS-CoV-2 infection offer cross-protection against the SARS-CoV-2 D614G variant.

The emergence of a SARS-CoV-2 variant with a point mutation in the spike (S) protein, D614G, has taken precedence over the original Wuhan isolate by May 2020. With an increased infection and transmission rate, it is imperative to determine whether antibodies induced against the D614 isolate may cross-neutralize against the G614 variant. In this report, profiling of the anti-SARS-CoV-2 humoral immunity reveals similar neutralization profiles against both S protein variants, albeit waning neutralizing antibody capacity at the later phase of infection. These findings provide further insights towards the validity of current immune-based interventions. IMPORTANCERandom mutations in the viral genome is a naturally occurring event that may lead to enhanced viral fitness and immunological resistance, while heavily impacting the validity of licensed therapeutics. A single point mutation from aspartic acid (D) to glycine (G) at position 614 of the SARS-CoV-2 spike (S) protein, termed D614G, has garnered global attention due to the observed increase in transmissibility and infection rate. Given that a majority of the developing antibody-mediated therapies and serological assays are based on the S antigen of the original Wuhan reference sequence, it is crucial to determine if humoral immunity acquired from the original SARS-CoV-2 isolate is able to induce cross-detection and cross-protection against the novel prevailing D614G variant.

Whole blood immunophenotyping uncovers immature neutrophil-to-VD2 T-cell ratio as an early prognostic marker for severe COVID-19

SARS-CoV-2 is the novel coronavirus responsible for the current COVID-19 pandemic. Severe complications are observed only in a small proportion of infected patients but the cellular mechanisms underlying this progression are still unknown. Comprehensive flow cytometry of whole blood samples from 54 COVID-19 patients revealed a dramatic increase in the number of immature neutrophils. This increase strongly correlated with disease severity and was associated with elevated IL-6 and IP-10 levels, two key players in the cytokine storm. The most pronounced decrease in cell counts was observed for CD8 T-cells and VD2 {gamma}{delta} T-cells, which both exhibited increased differentiation and activation. ROC analysis revealed that the count ratio of immature neutrophils to CD8 or VD2 T-cells predicts pneumonia onset (0.9071) as well as hypoxia onset (0.8908) with high sensitivity and specificity. It would thus be a useful prognostic marker for preventive patient management and improved healthcare resource management.