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Influenza vaccination reveals sex dimorphic imprints of prior mild COVID-19
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  • Article
  • Published: 04 January 2023

Influenza vaccination reveals sex dimorphic imprints of prior mild COVID-19

  • Rachel Sparks  ORCID: orcid.org/0000-0001-8216-50841 na1,
  • William W. Lau1 na1,
  • Can Liu  ORCID: orcid.org/0000-0002-8411-38911,2 na1,
  • Kyu Lee Han3,
  • Kiera L. Vrindten  ORCID: orcid.org/0000-0002-0612-04201,
  • Guangping Sun1,4,
  • Milann Cox1,
  • Sarah F. Andrews  ORCID: orcid.org/0000-0002-2583-19495,
  • Neha Bansal1,
  • Laura E. Failla1,
  • Jody Manischewitz6,
  • Gabrielle Grubbs6,
  • Lisa R. King6,
  • Galina Koroleva3,
  • Stephanie Leimenstoll7,
  • LaQuita Snow7,
  • OP11 Clinical Staff,
  • Jinguo Chen3,
  • Juanjie Tang6,
  • Amrita Mukherjee3,
  • Brian A. Sellers3,
  • Richard Apps3,
  • Adrian B. McDermott  ORCID: orcid.org/0000-0003-0616-91175,
  • Andrew J. Martins1,
  • Evan M. Bloch  ORCID: orcid.org/0000-0001-8181-95178,
  • Hana Golding6,
  • Surender Khurana  ORCID: orcid.org/0000-0002-0593-79656 &
  • …
  • John S. Tsang  ORCID: orcid.org/0000-0003-3186-30471,3 

Nature (2023)Cite this article

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We are providing an unedited version of this manuscript to give early access to its findings. Before final publication, the manuscript will undergo further editing. Please note there may be errors present which affect the content, and all legal disclaimers apply.

Subjects

  • Computational biology and bioinformatics
  • Inflammation
  • Systems biology
  • Vaccines
  • Viral infection

Abstract

Acute viral infections can have durable functional impacts on the immune system long after recovery, but how they affect homeostatic immune states and responses to future perturbations remain poorly understood1–4. Here we use systems immunology approaches, including longitudinal multimodal single cell analysis (surface proteins, transcriptome, and V(D)J sequences), to comparatively assess baseline immune statuses and responses to influenza vaccination in 33 healthy individuals after recovery from mild, non-hospitalized COVID-19 (mean: 151 days after diagnosis) and 40 age- and sex-matched controls who never had COVID-19. At baseline and independent of time since COVID-19, recoverees had elevated T-cell activation signatures and lower expression of innate immune genes in monocytes. COVID-19-recovered males had coordinately higher innate, influenza-specific plasmablast, and antibody responses after vaccination compared to healthy male and COVID-19-recovered females, partly because male recoverees had monocytes with higher IL-15 responses early after vaccination coupled with elevated pre-vaccination frequencies of “virtual memory” like CD8+ T-cells poised to produce more IFNγ upon IL-15 stimulation. In addition, the expression of the repressed innate immune genes in monocytes increased by day 1 through day 28 post-vaccination in recoverees, thus moving towards the pre-vaccination baseline of healthy controls. In contrast, these genes decreased on day 1 and returned to the baseline by day 28 in controls. Our study reveals sex-dimorphic impacts of prior mild COVID-19 and suggests that viral infections in humans can establish new set-points impacting future immune responses in an antigen-agnostic manner.

Author information

Author notes
  1. These authors contributed equally: Rachel Sparks, William W. Lau, Can Liu

Authors and Affiliations

  1. Multiscale Systems Biology Section, Laboratory of Immune System Biology, NIAID, NIH, Bethesda, MD, USA

    Rachel Sparks, William W. Lau, Can Liu, Kiera L. Vrindten, Guangping Sun, Milann Cox, Neha Bansal, Laura E. Failla, Andrew J. Martins & John S. Tsang

  2. Graduate Program in Biological Sciences, University of Maryland, College Park, MD, USA

    Can Liu

  3. NIH Center for Human Immunology, NIAID, NIH, Bethesda, MD, USA

    Kyu Lee Han, Galina Koroleva, Jinguo Chen, Amrita Mukherjee, Brian A. Sellers, Richard Apps & John S. Tsang

  4. Division of Intramural Research, NIAID, NIH, Bethesda, MD, USA

    Guangping Sun

  5. Vaccine Research Center, NIAID, NIH, Bethesda, MD, USA

    Sarah F. Andrews & Adrian B. McDermott

  6. Division of Viral Products, Center for Biologics Evaluation and Research (CBER), FDA, Silver Spring, MD, USA

    Jody Manischewitz, Gabrielle Grubbs, Lisa R. King, Juanjie Tang, Hana Golding & Surender Khurana

  7. Laboratory of Clinical Immunology and Microbiology, NIAID, NIH, Bethesda, MD, USA

    Stephanie Leimenstoll & LaQuita Snow

  8. Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD, USA

    Evan M. Bloch

  9. Clinical Center Nursing Department, NIH, Bethesda, MD, USA

    Princess Barber, Daly Cantave, Anne Carmona, Alaina K. Magnani, Valerie Mohammed, Cindy Palmer & Deitra Shipman

  10. Clinical Research Directorate, Frederick National Laboratory for Cancer Research, Frederick, MD, USA

    Jean Hammer

Authors
  1. Rachel Sparks
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  2. William W. Lau
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  4. Kyu Lee Han
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  14. Galina Koroleva
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  17. Jinguo Chen
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  18. Juanjie Tang
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  19. Amrita Mukherjee
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  20. Brian A. Sellers
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  21. Richard Apps
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  23. Andrew J. Martins
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  24. Evan M. Bloch
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  25. Hana Golding
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  26. Surender Khurana
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  27. John S. Tsang
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Consortia

OP11 Clinical Staff

  • Princess Barber
  • , Daly Cantave
  • , Anne Carmona
  • , Jean Hammer
  • , Alaina K. Magnani
  • , Valerie Mohammed
  • , Cindy Palmer
  •  & Deitra Shipman

Corresponding author

Correspondence to John S. Tsang.

Supplementary information

Supplementary Information

This file contains Supplementary Discussion, Supplementary References, and Supplementary Figures 1-7.

Reporting Summary

Peer Review FilePeer Review File

Supplementary Table 1

Baseline parameter TSD association results (all subjects)

Supplementary Table 2

Baseline parameter DE results (all subjects)

Supplementary Table 3

Baseline whole blood GSEA results (all subjects)

Supplementary Table 4

Significant (p < 0.05) single cell timepoint DE results

Supplementary Table 5

Timepoint whole blood and single cell GSEA results

Supplementary Table 6

Zhai et al natural influenza infection cohort DE results

Supplementary Table 7

Post-influenza vaccination timepoint DE results

Supplementary Table 8

Influenza vaccine antibody titer and SPR D0 and D28 model results

Supplementary Table 9

Gated populations in 36-color Cytek panel

Supplementary Table 10

COVR-M CD8 EM Markers from CITE-seq

Supplementary Table 11

Protein surface marker panel used for CITE-seq, Biolegend Total-seq-C Human Universal Cocktail, V1.0

Supplementary Table 12

Antibodies and influenza probes used in B-cell flow panel

Supplementary Table 13

Antibodies and viability dyes used in 36-color Cytek flow cytometry panel

Supplementary Table 14

Antibodies and viability dyes used in T-cell stimulation assays

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Cite this article

Sparks, R., Lau, W.W., Liu, C. et al. Influenza vaccination reveals sex dimorphic imprints of prior mild COVID-19. Nature (2023). https://doi.org/10.1038/s41586-022-05670-5

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  • Received: 03 February 2022

  • Accepted: 19 December 2022

  • Published: 04 January 2023

  • DOI: https://doi.org/10.1038/s41586-022-05670-5

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