Selected article for: "immune response and protein surface"

Author: Liu, Can; Martins, Andrew J.; Lau, William W.; Rachmaninoff, Nicholas; Chen, Jinguo; Imberti, Luisa; Mostaghimi, Darius; Fink, Danielle L.; Burbelo, Peter D.; Dobbs, Kerry; Delmonte, Ottavia M.; Bansal, Neha; Failla, Laura; Sottini, Alessandra; Quiros-Roldan, Eugenia; Lee Han, Kyu; Sellers, Brian A.; Cheung, Foo; Sparks, Rachel; Chun, Tae-Wook; Moir, Susan; Lionakis, Michail S.; Rossi, Camillo; Su, Helen C.; Kuhns, Douglas B.; Cohen, Jeffrey I.; Notarangelo, Luigi D.; Tsang, John S.; Abers, Michael S.; Apps, Richard; Bosticardo, Marita; Milanez-Almeida, Pedro; Mulè, Matthew P.; Shaw, Elana; Zhang, Yu; Castelli, Francesco; Muiesan, Maria Lorenza; Tomasoni, Gabriele; Scolari, Francesco; Tucci, Alessandra
Title: Time-resolved Systems Immunology Reveals a Late Juncture Linked to Fatal COVID-19
  • Cord-id: g66wjtk9
  • Document date: 2021_2_10
  • ID: g66wjtk9
    Snippet: COVID-19 exhibits extensive patient-to-patient heterogeneity. To link immune response variation to disease severity and outcome over time, we longitudinally assessed circulating proteins as well as 188 surface protein markers, transcriptome, and T-cell receptor sequence simultaneously in single peripheral immune cells from COVID-19 patients. Conditional-independence network analysis revealed primary correlates of disease severity, including gene expression signatures of apoptosis in plasmacytoid
    Document: COVID-19 exhibits extensive patient-to-patient heterogeneity. To link immune response variation to disease severity and outcome over time, we longitudinally assessed circulating proteins as well as 188 surface protein markers, transcriptome, and T-cell receptor sequence simultaneously in single peripheral immune cells from COVID-19 patients. Conditional-independence network analysis revealed primary correlates of disease severity, including gene expression signatures of apoptosis in plasmacytoid dendritic cells and attenuated inflammation but increased fatty acid metabolism in CD56dimCD16hi NK cells linked positively to circulating IL-15. CD8+ T cell activation was apparent without signs of exhaustion. While cellular inflammation was depressed in severe patients early after hospitalization, it became elevated by days 17-23 post symptom onset, suggestive of a late wave of inflammatory responses. Furthermore, circulating protein trajectories at this time were divergent between and predictive of recovery-fatal outcomes. Our findings stress the importance of timing in the analysis, clinical monitoring, and therapeutic intervention of COVID-19.

    Search related documents:
    Co phrase search for related documents
    • acute kidney injury and adaptive response: 1, 2, 3
    • acute kidney injury and admission near: 1
    • acute kidney injury and admission status: 1, 2, 3, 4, 5, 6, 7, 8, 9
    • acute kidney injury and admission variable: 1, 2
    • acute kidney injury and long term exposure: 1
    • acute kidney injury and low inflammation: 1
    • acute kidney injury and lps lipopolysaccharide: 1, 2, 3, 4, 5, 6, 7
    • acute kidney injury and lung concomitant: 1
    • acute kidney injury and lung infection: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10
    • acute kidney injury and lymphocyte count: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32
    • acute kidney injury and lymphocyte high: 1, 2, 3, 4, 5
    • acute kidney injury and lymphocyte high count: 1, 2, 3
    • acute kidney injury and lymphocyte neutrophil: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20
    • acute kidney injury and lymphocyte neutrophil ratio: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15
    • acute kidney injury and lymphoid myeloid: 1
    • acute kidney injury and ma marlborough: 1
    • acute kidney injury and machine learning: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14
    • acute kidney injury and machine learning model: 1, 2, 3, 4
    • adaptive immune response and additional gene: 1, 2