Innate immune responsiveness predicts enhanced cellular immunity and symptomatic disease after controlled human influenza infection.

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Title: Innate immune responsiveness predicts enhanced cellular immunity and symptomatic disease after controlled human influenza infection.
Authors: Papargyris L; Department of Infectious Disease, Imperial College London, London, UK., Xu J; Department of Infectious Disease, Imperial College London, London, UK., Broderick C; Department of Infectious Disease, Imperial College London, London, UK., Huang A; Center for Systems and Engineering Immunology (CSEI) and Department of Immunobiology, Yale University, New Haven, CT, USA.; Program in Computational Biology and Biomedical Informatics, Yale University, New Haven, CT, USA., Gore T; Division of Infection and Immunity, University College London, London, UK., Reynaldi A; Kirby Institute, University of New South Wales, Kensington, New South Wales, Australia., Dayananda P; Department of Infectious Disease, Imperial College London, London, UK., Collins AM; Department of Infectious Disease, Imperial College London, London, UK., Ascough S; Department of Infectious Disease, Imperial College London, London, UK., Wong N; Department of Infectious Disease, Imperial College London, London, UK., Guy J; Department of Infectious Disease, Imperial College London, London, UK., Song J; Department of Infectious Disease, Imperial College London, London, UK., Kar S; Department of Infectious Disease, Imperial College London, London, UK., Bergstrom E; Department of Infectious Disease, Imperial College London, London, UK., Slater L; Department of Infectious Disease, Imperial College London, London, UK., Gardener Z; Department of Infectious Disease, Imperial College London, London, UK., Paterson S; Department of Infectious Disease, Imperial College London, London, UK., Marjaneh MM; Department of Infectious Disease, Imperial College London, London, UK., Nichols SJ; Department of Infectious Disease, Imperial College London, London, UK., Wright VJ; Department of Infectious Disease, Imperial College London, London, UK., Park MK; Department of Infectious Disease, Imperial College London, London, UK., McKendry R; Department of Infectious Disease, Imperial College London, London, UK., Nicholson B; Department of Medicine, Duke University School of Medicine, Durham, NC, USA., McClain M; Department of Medicine, Duke University School of Medicine, Durham, NC, USA., Burke TW; Department of Medicine, Duke University School of Medicine, Durham, NC, USA., Wagstaffe H; Department of Infectious Disease, Imperial College London, London, UK., Klein J; SGS Clinical Pharmacology Unit, Edegem, Belgium., Levin M; Department of Infectious Disease, Imperial College London, London, UK., Grifoni A; Center for Vaccine Innovation, La Jolla Institute for Immunology (LJI), La Jolla, CA, USA., Woods CW; Department of Medicine, Duke University School of Medicine, Durham, NC, USA., Davenport MP; Kirby Institute, University of New South Wales, Kensington, New South Wales, Australia., Tsang JS; Center for Systems and Engineering Immunology (CSEI) and Department of Immunobiology, Yale University, New Haven, CT, USA.; Program in Computational Biology and Biomedical Informatics, Yale University, New Haven, CT, USA.; Department of Biomedical Engineering, Yale University, New Haven, CT, USA., Chain B; Division of Infection and Immunity, University College London, London, UK.; Department of Computer Science, University College London, London, UK., Kaforou M; Department of Infectious Disease, Imperial College London, London, UK., Chiu C; Department of Infectious Disease, Imperial College London, London, UK. c.chiu@imperial.ac.uk.
Source: Nature medicine [Nat Med] 2026 Jul; Vol. 32 (7), pp. 2556-2569. Date of Electronic Publication: 2026 Jul 01.
Publication Type: Journal Article
Journal Info: Publisher: Nature Publishing Company Country of Publication: United States NLM ID: 9502015 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1546-170X (Electronic) Linking ISSN: 10788956 NLM ISO Abbreviation: Nat Med Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1546-170X
DOI:10.1038/s41591-026-04483-7