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1.
J Leukoc Biol ; 110(6): 1253-1268, 2021 12.
Article in English | MEDLINE | ID: covidwho-1437055

ABSTRACT

Systemic infections, especially in patients with chronic diseases, may result in sepsis: an explosive, uncoordinated immune response that can lead to multisystem organ failure with a high mortality rate. Patients with similar clinical phenotypes or sepsis biomarker expression upon diagnosis may have different outcomes, suggesting that the dynamics of sepsis is critical in disease progression. A within-subject study of patients with Gram-negative bacterial sepsis with surviving and fatal outcomes was designed and single-cell transcriptomic analyses of peripheral blood mononuclear cells (PBMC) collected during the critical period between sepsis diagnosis and 6 h were performed. The single-cell observations in the study are consistent with trends from public datasets but also identify dynamic effects in individual cell subsets that change within hours. It is shown that platelet and erythroid precursor responses are drivers of fatal sepsis, with transcriptional signatures that are shared with severe COVID-19 disease. It is also shown that hypoxic stress is a driving factor in immune and metabolic dysfunction of monocytes and erythroid precursors. Last, the data support CD52 as a prognostic biomarker and therapeutic target for sepsis as its expression dynamically increases in lymphocytes and correlates with improved sepsis outcomes. In conclusion, this study describes the first single-cell study that analyzed short-term temporal changes in the immune cell populations and their characteristics in surviving or fatal sepsis. Tracking temporal expression changes in specific cell types could lead to more accurate predictions of sepsis outcomes and identify molecular biomarkers and pathways that could be therapeutically controlled to improve the sepsis trajectory toward better outcomes.


Subject(s)
COVID-19/immunology , Gram-Negative Bacterial Infections/immunology , Leukocytes , Sepsis/immunology , Transcriptome/immunology , Adult , Aged , Aged, 80 and over , Female , Humans , Inflammation/immunology , Male , Middle Aged , Retrospective Studies , SARS-CoV-2 , Single-Cell Analysis
3.
J Mol Cell Biol ; 12(12): 916-932, 2020 10 12.
Article in English | MEDLINE | ID: covidwho-968717

ABSTRACT

There is a link between high lipopolysaccharide (LPS) levels in the blood and the metabolic syndrome, and metabolic syndrome predisposes patients to severe COVID-19. Here, we define an interaction between SARS-CoV-2 spike (S) protein and LPS, leading to aggravated inflammation in vitro and in vivo. Native gel electrophoresis demonstrated that SARS-CoV-2 S protein binds to LPS. Microscale thermophoresis yielded a KD of ∼47 nM for the interaction. Computational modeling and all-atom molecular dynamics simulations further substantiated the experimental results, identifying a main LPS-binding site in SARS-CoV-2 S protein. S protein, when combined with low levels of LPS, boosted nuclear factor-kappa B (NF-κB) activation in monocytic THP-1 cells and cytokine responses in human blood and peripheral blood mononuclear cells, respectively. The in vitro inflammatory response was further validated by employing NF-κB reporter mice and in vivo bioimaging. Dynamic light scattering, transmission electron microscopy, and LPS-FITC analyses demonstrated that S protein modulated the aggregation state of LPS, providing a molecular explanation for the observed boosting effect. Taken together, our results provide an interesting molecular link between excessive inflammation during infection with SARS-CoV-2 and comorbidities involving increased levels of bacterial endotoxins.


Subject(s)
COVID-19/complications , Inflammation/etiology , Lipopolysaccharides/metabolism , SARS-CoV-2 , Spike Glycoprotein, Coronavirus/metabolism , Animals , Binding Sites , COVID-19/immunology , COVID-19/virology , Cytokine Release Syndrome/etiology , Cytokine Release Syndrome/immunology , Disease Models, Animal , Gram-Negative Bacterial Infections/complications , Gram-Negative Bacterial Infections/immunology , Humans , In Vitro Techniques , Lipid A/chemistry , Lipid A/immunology , Lipid A/metabolism , Lipopolysaccharides/chemistry , Lipopolysaccharides/immunology , Mice , Mice, Inbred BALB C , Mice, Transgenic , Models, Immunological , Models, Molecular , Molecular Docking Simulation , Protein Binding , Protein Interaction Domains and Motifs , Respiratory Distress Syndrome/etiology , Risk Factors , SARS-CoV-2/immunology , SARS-CoV-2/pathogenicity , SARS-CoV-2/physiology , Spike Glycoprotein, Coronavirus/chemistry , Spike Glycoprotein, Coronavirus/immunology
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