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Trans-pandemic proteome profiling in a population of young adults

Author(s)

  • Annika Bendes (Presenting Author) | Science for Life Laboratory, Department of Protein Science, KTH Royal Institute of Technology | Tomtebodavägen 23A, 171 65, SOLNA, Sweden
  • Sophia Björkander | Department of Clinical Science and Education, Södersjukhuset Institute of Environmental Medicine | Sjukhusbacken 10, 11883, Stockholm, Sweden
  • Maura Kere | Department of Clinical Science and Education, Södersjukhuset Institute of Environmental Medicine | Sjukhusbacken 10, 11883, Stockholm, Sweden
  • Simon Kebede Merid | Department of Clinical Science and Education, Södersjukhuset Institute of Environmental Medicine | Sjukhusbacken 10, 11883, Stockholm, Sweden
  • Ashish Kumar | Department of Clinical Science and Education, Södersjukhuset | Sjukhusbacken 10, 11883, Stockholm, Sweden
  • Zhebin Yu | Institute of Environmental Medicine, Unit of environmental epidemiology Urban environment and children´s and youth health, Karolinska Institutet | Nobels väg 13, 17177, Stockholm, Sweden
  • Alexandra Lövquist | Institute of Environmental Medicine, Unit of environmental epidemiology Environment, nutrition and health, Karolinska Institutet | Nobels väg 13, 17177, Stockholm, Sweden
  • Amelie Vogt | Science for Life Laboratory, Department of Protein Science, KTH Royal Institute of Technology | Tomtebodavägen 23A, 171 65, SOLNA, Sweden
  • Anna Gardell | Science for Life Laboratory, Department of Protein Science, KTH Royal Institute of Technology | Tomtebodavägen 23A, 171 65, SOLNA, Sweden
  • Leo Dahl | Science for Life Laboratory, Department of Protein Science, KTH Royal Institute of Technology | Tomtebodavägen 23A, 171 65, SOLNA, Sweden
  • Olga Mukalova | Institute of Environmental Medicine, Unit of environmental epidemiology Environment, nutrition and health, Karolinska Institutet | Nobels väg 13, 17177, Stockholm, Sweden
  • Olof Beck | Department of Clinical Neuroscience, Treatment of addictive disorders, Karolinska Institutet | Norra Stationsgatan 69, 11364, Stockholm, Sweden
  • Ben Murrell | Department of Microbiology, Tumor and Cell Biology, Division of Virology and Immunology, Biomedicum, Karolinska Institutet | Solnavägen 9, 17165, Solna, Sweden
  • Niclas Roxhed | Department of Intelligent Systems, KTH Royal Institute of Technology | Malivnas Väg 101, 11428, Stockholm, Sweden
  • Erik Melén | Department of Clinical Science and Education, Södersjukhuset | Sjukhusbacken 10, 11883, Stockholm, Sweden
  • Jochen M Schwenk | Science for Life Laboratory, Department of Protein Science, KTH Royal Institute of Technology | Tomtebodavägen 23A, 171 65, SOLNA, Sweden

Abstract

Background: COVID-19 had a substantial impact on the broader community and healthcare systems. Still, our understanding of how pre- and peri-pandemic conditions contributed to the immune response to infection or vaccination remains limited.

Materials and Methods: During 2020-2022, about 800 participants from the Swedish BAMSE cohort collected home-sampled dried blood spots (DBS) at three timepoints. We then performed multi-analyte serology and affinity proteomics to measure their molecular immune response, and used pre-excising and newly collected data and laboratory tests to elucidate the impact of pandemic exposures on these younger adults (age 28-30).

Results: We found longitudinal and molecular effects of the pandemic in DBS. Cluster-based analysis by multi-analyte serology confirmed the expected immune phenotypes, suggesting that the time elapsed between sampling and vaccination was a factor for the magnitude of the measured immune response. Deep proteome analysis revealed that some immune signatures remained stable over time, but others were variable due to unspecified factors or changed in response to vaccination and/or infection.

Conclusion: This demonstrates the added value of longitudinal DBS home-sampling to obtaining immunological insights into different pandemic exposures via the proteome. This allowed us to monitor molecular changes over time and decompose how predispositions and acquired conditions contribute to the molecular phenotypes.