{"entity": "researcher", "timestamp": "2026-08-08T16:47:06.861Z", "family": "Albrecht", "given": "Vincent", "initials": "V", "orcid": "0009-0003-1985-7733", "affiliations": [], "links": {"self": {"href": "https://publications.scilifelab.se/researcher/4d422e623e9e449f98853e6830cdd401.json"}, "display": {"href": "https://publications.scilifelab.se/researcher/4d422e623e9e449f98853e6830cdd401"}}, "publications": [{"entity": "publication", "iuid": "a13b9b2a120741f2af40dbd525b2c748", "links": {"self": {"href": "https://publications.scilifelab.se/publication/a13b9b2a120741f2af40dbd525b2c748.json"}, "display": {"href": "https://publications.scilifelab.se/publication/a13b9b2a120741f2af40dbd525b2c748"}}, "title": "Exploration of immune phenotypes in self-sampling citizens", "authors": [{"family": "Dahl", "given": "Leo", "initials": "L", "orcid": "0000-0003-1492-3052", "researcher": {"href": "https://publications.scilifelab.se/researcher/d4df506f315c4289935b935a503efd56.json"}}, {"family": "Bendes", "given": "Annika", "initials": "A", "orcid": "0000-0001-9329-2353", "researcher": {"href": "https://publications.scilifelab.se/researcher/50dffce4f4444dd8b5ff8f9294146a0b.json"}}, {"family": "\u00c1lvez", "given": "Mar\u00eda Bueno", "initials": "MB", "orcid": "0000-0002-2669-7796", "researcher": {"href": "https://publications.scilifelab.se/researcher/b6a18cc0ce34429a91758206cedb5d60.json"}}, {"family": "Albrecht", "given": "Vincent", "initials": "V", "orcid": "0009-0003-1985-7733", "researcher": {"href": "https://publications.scilifelab.se/researcher/4d422e623e9e449f98853e6830cdd401.json"}}, {"family": "Aghelpasand", "given": "Hooman", "initials": "H"}, {"family": "Bj\u00f6rkander", "given": "Sophia", "initials": "S", "orcid": "0000-0002-4600-2883", "researcher": {"href": "https://publications.scilifelab.se/researcher/310af30b841741a790046af03a3cee6d.json"}}, {"family": "Merid", "given": "Simon Kebede", "initials": "SK", "orcid": "0000-0001-5974-7676", "researcher": {"href": "https://publications.scilifelab.se/researcher/c7a04c6538814b089994c7a822ecf07f.json"}}, {"family": "Mezger", "given": "Anja", "initials": "A", "orcid": "0000-0002-7337-9547", "researcher": {"href": "https://publications.scilifelab.se/researcher/ebf61fe41e6f43e4aec2be101de688d4.json"}}, {"family": "K\u00e4ller", "given": "Max", "initials": "M", "orcid": "0000-0001-6813-3051", "researcher": {"href": "https://publications.scilifelab.se/researcher/536ad902a272482aba853c078557e240.json"}}, {"family": "Fredolini", "given": "Claudia", "initials": "C", "orcid": "0000-0002-7674-2014", "researcher": {"href": "https://publications.scilifelab.se/researcher/40ac3a5823cb4f998cc8bdb96dcbf195.json"}}, {"family": "Naluai", "given": "\u00c5sa Torinsson", "initials": "\u00c5T"}, {"family": "Beck", "given": "Olof", "initials": "O"}, {"family": "Mel\u00e9n", "given": "Erik", "initials": "E", "orcid": "0000-0002-8248-0663", "researcher": {"href": "https://publications.scilifelab.se/researcher/3af5a23ba0a847778eea300f745cb143.json"}}, {"family": "Bauer", "given": "Stefan", "initials": "S"}, {"family": "Gissl\u00e9n", "given": "Magnus", "initials": "M", "orcid": "0000-0002-2357-1020", "researcher": {"href": "https://publications.scilifelab.se/researcher/8b50df8c8ecc45b89574dc76e244b07e.json"}}, {"family": "Roxhed", "given": "Niclas", "initials": "N", "orcid": "0000-0002-7147-6730", "researcher": {"href": "https://publications.scilifelab.se/researcher/3739210caaf14a28898849f20bf6ece5.json"}}, {"family": "Schwenk", "given": "Jochen M", "initials": "JM", "orcid": "0000-0001-8141-8449", "researcher": {"href": "https://publications.scilifelab.se/researcher/aba5822711b246b397fffacb7ae403b3.json"}}], "type": "journal-article", "published": "2026-02-00", "journal": {"title": "iScience", "issn": "2589-0042", "volume": "29", "issue": "2", "pages": "114611", "issn-l": "2589-0042"}, "abstract": "Blood proteins have provided essential insights into how humans responded to the recent pandemic. To expand our understanding beyond patients seeking medical care, we conducted a citizen-centric survey with 2,000 random residents (age: 18-69 years) from Sweden's two largest cities in 2021. With self-sampled dried blood spots (DBS) and health information from 437 (22%) volunteers, we performed multi-analyte COVID-19 serology, measured autoantibodies (AAbs) against 22 interferons, and quantified 502 circulating low-abundant immune-related blood proteins. Antibody assays confirmed self-reported infections (26%) and vaccinations (40%), showed timing-dependent discrepancies in the immune response, and revealed anti-type I interferon AAbs co-occurring frequently alongside natural infections. Proteomics data added plausible mechanistic insights into cell-mediated processes: data-driven analyses revealed 24% of participants presented deviating immune phenotypes linked to infections, immunity, respiratory effects, and age. Multi-molecular DBS analysis of random layperson samples captured the broader spectrum of immune system states, adding relevant insights for clinical and public health investigations.", "doi": "10.1016/j.isci.2025.114611", "pmid": "41630906", "labels": {"National Genomics Infrastructure": "Collaborative", "NGI Stockholm (Genomics Production)": "Service", "NGI Stockholm (Genomics Applications)": "Collaborative", "NGI Short read": "Collaborative"}, "xrefs": [{"db": "pmc", "key": "PMC12860695"}, {"db": "pii", "key": "S2589-0042(25)02872-X"}], "notes": [], "created": "2026-02-26T13:37:49.302Z", "modified": "2026-03-24T09:13:34.204Z"}, {"entity": "publication", "iuid": "111154cd228d47fabf63f871f677a0d7", "links": {"self": {"href": "https://publications.scilifelab.se/publication/111154cd228d47fabf63f871f677a0d7.json"}, "display": {"href": "https://publications.scilifelab.se/publication/111154cd228d47fabf63f871f677a0d7"}}, "title": "Proteome profiling of home-sampled dried blood spots reveals proteins of SARS-CoV-2 infections.", "authors": [{"family": "Fredolini", "given": "Claudia", "initials": "C", "orcid": "0000-0002-7674-2014", "researcher": {"href": "https://publications.scilifelab.se/researcher/40ac3a5823cb4f998cc8bdb96dcbf195.json"}}, {"family": "Dodig-Crnkovi\u0107", "given": "Tea", "initials": "T"}, {"family": "Bendes", "given": "Annika", "initials": "A", "orcid": "0000-0001-9329-2353", "researcher": {"href": "https://publications.scilifelab.se/researcher/50dffce4f4444dd8b5ff8f9294146a0b.json"}}, {"family": "Dahl", "given": "Leo", "initials": "L", "orcid": "0000-0003-1492-3052", "researcher": {"href": "https://publications.scilifelab.se/researcher/d4df506f315c4289935b935a503efd56.json"}}, {"family": "Dale", "given": "Matilda", "initials": "M", "orcid": "0000-0002-5788-7744", "researcher": {"href": "https://publications.scilifelab.se/researcher/59306e7e902048829efb30599ee3d2b1.json"}}, {"family": "Albrecht", "given": "Vincent", "initials": "V", "orcid": "0009-0003-1985-7733", "researcher": {"href": "https://publications.scilifelab.se/researcher/4d422e623e9e449f98853e6830cdd401.json"}}, {"family": "Mattsson", "given": "Cecilia", "initials": "C"}, {"family": "Thomas", "given": "Cecilia E", "initials": "CE", "orcid": "0000-0001-6201-6380", "researcher": {"href": "https://publications.scilifelab.se/researcher/3a1156f987764218af202efbd76c31fd.json"}}, {"family": "Torinsson Naluai", "given": "\u00c5sa", "initials": "\u00c5", "orcid": "0000-0002-0504-6492", "researcher": {"href": "https://publications.scilifelab.se/researcher/bcf3474dc7054c598cbe3a195deb8a1b.json"}}, {"family": "Gisslen", "given": "Magnus", "initials": "M"}, {"family": "Beck", "given": "Olof", "initials": "O"}, {"family": "Roxhed", "given": "Niclas", "initials": "N", "orcid": "0000-0002-7147-6730", "researcher": {"href": "https://publications.scilifelab.se/researcher/3739210caaf14a28898849f20bf6ece5.json"}}, {"family": "Schwenk", "given": "Jochen M", "initials": "JM", "orcid": "0000-0001-8141-8449", "researcher": {"href": "https://publications.scilifelab.se/researcher/aba5822711b246b397fffacb7ae403b3.json"}}], "type": "journal article", "published": "2024-04-02", "journal": {"title": "Commun Med (Lond)", "issn": "2730-664X", "issn-l": null, "volume": "4", "issue": "1", "pages": "55"}, "abstract": "Self-sampling of dried blood spots (DBS) offers new routes to gather valuable health-related information from the general population. Yet, the utility of using deep proteome profiling from home-sampled DBS to obtain clinically relevant insights about SARS-CoV-2 infections remains largely unexplored.\r\n\r\nOur study involved 228 individuals from the general Swedish population who used a volumetric DBS sampling device and completed questionnaires at home during spring 2020 and summer 2021. Using multi-analyte COVID-19 serology, we stratified the donors by their response phenotypes, divided them into three study sets, and analyzed 276 proteins by proximity extension assays (PEA). After normalizing the data to account for variances in layman-collected samples, we investigated the association of DBS proteomes with serology and self-reported information.\r\n\r\nOur three studies display highly consistent variance of protein levels and share associations of proteins with sex (e.g., MMP3) and age (e.g., GDF-15). Studying seropositive (IgG+) and seronegative (IgG-) donors from the first pandemic wave reveals a network of proteins reflecting immunity, inflammation, coagulation, and stress response. A comparison of the early-infection phase (IgM+IgG-) with the post-infection phase (IgM-IgG+) indicates several proteins from the respiratory system. In DBS from the later pandemic wave, we find that levels of a virus receptor on B-cells differ between seropositive (IgG+) and seronegative (IgG-) donors.\r\n\r\nProteome analysis of volumetric self-sampled DBS facilitates precise analysis of clinically relevant proteins, including those secreted into the circulation or found on blood cells, augmenting previous COVID-19 reports with clinical blood collections. Our population surveys support the usefulness of DBS, underscoring the role of timing the sample collection to complement clinical and precision health monitoring initiatives.", "doi": "10.1038/s43856-024-00480-4", "pmid": "38565620", "labels": {"Affinity Proteomics Stockholm": "Technology development", "Autoimmunity and Serology Profiling": "Service"}, "xrefs": [{"db": "pmc", "key": "PMC10987641"}, {"db": "pii", "key": "10.1038/s43856-024-00480-4"}], "notes": [], "created": "2024-04-18T09:27:59.211Z", "modified": "2024-08-28T11:04:43.993Z"}]}