No patient is the same; lessons learned from antibody repertoire profiling in hospitalized severe COVID-19 patients

preprint · medRxiv · 2022

preprint · medRxiv · 2022. Albert Bondt et al. Here, by using mass spectrometry-based methods IgG1 and IgA1 clonal repertoires were monitored quantitatively…
Date 2022-12-26
Type preprint
Venue medRxiv
Publisher openRxiv
Contribution downstream-application
DOI 10.1101/2022.12.23.22283896
Citations (OpenAlex) 4

Abstract

Here, by using mass spectrometry-based methods IgG1 and IgA1 clonal repertoires were monitored quantitatively and longitudinally in more than 50 individual serum samples obtained from 17 COVID-19 patients admitted to intensive care units because of acute respiratory distress syndrome. These serological clonal profiles were used to examine how each patient reacted to a severe SARS-CoV-2 infection. All 17 donors revealed unique polyclonal repertoires and changes after infection. Substantial changes over time in the IgG1 and/or IgA1 clonal repertoires were observed in individual patients, with several new clones appearing following the infection, in a few cases leading to a few very high abundant IgG1 and/or IgA1 clones dominating the repertoire. Several of these clones were de novo sequenced through combinations of top-down, middle-down and bottom-up proteomics approaches. This revealed several sequence features in line with sequences deposited in the SARS-CoV-specific database of antibodies. In other patients, the serological Ig profiles revealed the treatment with tocilizumab, as after treatment, this IgG1-mAb dominated the serological IgG1 repertoire. Tocilizumab clearance could be monitored and a half-life of approximately 6 days was established in these patients. Overall, our longitudinal monitoring of IgG1 and IgA1 repertoires of individual donors reveals that antibody responses are highly personalized traits of each patient, affected by the disease and the chosen clinical treatment. The impact of these observations argues for a more personalized and longitudinal approach in patients’ diagnostics, both in serum proteomics as well as in monitoring immune responses.

Authors

  1. Albert Bondt · Netherlands Proteomics Centre, Utrecht University
  2. Max Hoek · Netherlands Proteomics Centre, Utrecht University
  3. Kelly Dingess · Netherlands Proteomics Centre, Utrecht University
  4. Sem Tamara · Netherlands Proteomics Centre, Utrecht University
  5. Bastiaan de Graaf · Netherlands Proteomics Centre, Utrecht University
  6. Weiwei Peng · Netherlands Proteomics Centre, Utrecht University
  7. Maurits A. den Boer · Netherlands Proteomics Centre, Utrecht University
  8. Mirjam Damen · Netherlands Proteomics Centre, Utrecht University
  9. Ceri Zwart · Netherlands Proteomics Centre, Utrecht University
  10. Arjan Barendregt · Netherlands Proteomics Centre, Utrecht University
  11. Danique M.H. van Rijswijck · Netherlands Proteomics Centre, Utrecht University
  12. Marloes Grobben · Amsterdam University Medical Centers, University of Amsterdam
  13. Khadija Tejjani · Amsterdam University Medical Centers, University of Amsterdam
  14. Jacqueline van Rijswijk · Amsterdam University Medical Centers, University of Amsterdam
  15. Franziska Völlmy · Netherlands Proteomics Centre, Utrecht University
  16. Joost Snijder · Netherlands Proteomics Centre, Utrecht University
  17. Francesca Fortini · Maria Cecilia Hospital
  18. Alberto Papi · Arcispedale Sant’Anna, University of Ferrara
  19. Carlo Alberto Volta · University of Ferrara
  20. Gianluca Campo · University of Ferrara
  21. Marco Contoli · Arcispedale Sant’Anna, University of Ferrara
  22. Marit J. van Gils · Amsterdam University Medical Centers, University of Amsterdam
  23. Savino Spadaro · University of Ferrara
  24. Paola Rizzo · Maria Cecilia Hospital, University of Ferrara
  25. Albert J. R. Heck · Center for Biomedical Genetics, Netherlands Proteomics Centre, Utrecht University

Methods and tools

  • COVID-19 IgG1/IgA1 repertoire profiling: Longitudinal intact-mass profiling of IgG1 and IgA1 clonal repertoires in severe COVID-19 patients, with dominant clones sequenced de novo by combined top-down, middle-down and bottom-up proteomics.

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