Doherty Institute - Research Publications

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    Integrated immune dynamics define correlates of COVID-19 severity and antibody responses
    Koutsakos, M ; Rowntree, LC ; Hensen, L ; Chua, BY ; van de Sandt, CE ; Habel, JR ; Zhang, W ; Jia, X ; Kedzierski, L ; Ashhurst, TM ; Putri, GH ; Marsh-Wakefield, F ; Read, MN ; Edwards, DN ; Clemens, EB ; Wong, CY ; Mordant, FL ; Juno, JA ; Amanat, F ; Audsley, J ; Holmes, NE ; Gordon, CL ; Smibert, OC ; Trubiano, JA ; Hughes, CM ; Catton, M ; Denholm, JT ; Tong, SYC ; Doolan, DL ; Kotsimbos, TC ; Jackson, DC ; Krammer, F ; Godfrey, D ; Chung, AW ; King, NJC ; Lewin, SR ; Wheatley, AK ; Kent, SJ ; Subbarao, K ; McMahon, J ; Thevarajan, I ; Thi, HON ; Cheng, AC ; Kedzierska, K (CELL PRESS, 2021-03-16)
    SARS-CoV-2 causes a spectrum of COVID-19 disease, the immunological basis of which remains ill defined. We analyzed 85 SARS-CoV-2-infected individuals at acute and/or convalescent time points, up to 102 days after symptom onset, quantifying 184 immunological parameters. Acute COVID-19 presented with high levels of IL-6, IL-18, and IL-10 and broad activation marked by the upregulation of CD38 on innate and adaptive lymphocytes and myeloid cells. Importantly, activated CXCR3+cTFH1 cells in acute COVID-19 significantly correlate with and predict antibody levels and their avidity at convalescence as well as acute neutralization activity. Strikingly, intensive care unit (ICU) patients with severe COVID-19 display higher levels of soluble IL-6, IL-6R, and IL-18, and hyperactivation of innate, adaptive, and myeloid compartments than patients with moderate disease. Our analyses provide a comprehensive map of longitudinal immunological responses in COVID-19 patients and integrate key cellular pathways of complex immune networks underpinning severe COVID-19, providing important insights into potential biomarkers and immunotherapies.
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    Towards identification of immune and genetic correlates of severe influenza disease in Indigenous Australians
    Clemens, EB ; Grant, EJ ; Wang, Z ; Gras, S ; Tipping, P ; Rossjohn, J ; Miller, A ; Tong, SYC ; Kedzierska, K (WILEY, 2016-04)
    Indigenous populations, including Indigenous Australians, are highly susceptible to severe influenza disease and the underlying mechanisms are unknown. We studied immune and genetic factors that could predicate severe influenza disease in Indigenous Australians enrolled in the LIFT study: looking into influenza T-cell immunity. To examine CD8(+) T-cell immunity, we characterised human leukocyte antigen (HLA) profiles. HLA typing confirmed previous studies showing predominant usage of HLA-A*02:01, 11:01, 24:02, 34:01 and HLA-B*13:01, 15:21, 40:01/02, 56:01/02 in Indigenous Australians. We identified two new HLA alleles (HLA-A*02:new and HLA-B*56:new). Modelling suggests that variations within HLA-A*02:new (but not HLA-B56:new) could affect peptide binding. There is a relative lack of known influenza epitopes for the majority of these HLAs, with the exception of a universal HLA-A*02:01-M158 epitope and proposed epitopes presented by HLA-A*11:01/HLA-A*24:02. To dissect universal CD8(+) T-cell responses, we analysed the magnitude, function and T-cell receptor (TCR) clonality of HLA-A*02:01-M158(+)CD8(+) T cells. We found comparable IFN-γ, TNF and CD107a and TCRαβ characteristics in Indigenous and non-Indigenous Australians, suggesting that the ~15% of Indigenous people that express HLA-A*02:01 have universal influenza-specific CD8(+) T-cell immunity. Furthermore, the frequency of an influenza host risk factor, IFITM3-C/C, was comparable between Indigenous Australians and Europeans, suggesting that expression of this allele does not explain increased disease severity at a population level. Our study indicates a need to identify novel influenza-specific CD8(+) T-cell epitopes restricted by HLA-A and HLA-B alleles prevalent in Indigenous populations for the rational design of universal T-cell vaccines.
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    Towards identification of immune and genetic correlates of severe influenza disease in Indigenous Australians (vol 94, pg 367, 2015)
    Clemens, EB ; Grant, EJ ; Wang, Z ; Gras, S ; Tipping, P ; Rossjohn, J ; Miller, A ; Tong, SYC ; Kedzierska, K (NATURE PUBLISHING GROUP, 2017-08)
    This corrects the article DOI: 10.1038/icb.2015.93.