Evidence map›Paper›PMID 38565620›Full record

ArticleCommunications medicine2024

Proteome profiling of home-sampled dried blood spots reveals proteins of SARS-CoV-2 infections.

Claudia Fredolini, Tea Dodig-Crnković, Annika Bendes, Leo Dahl, Matilda Dale, Vincent Albrecht, Cecilia Mattsson, Cecilia E Thomas, Åsa Torinsson Naluai, Magnus Gisslen and 3 more

Open access · goldAbstract read
In one paragraph

Article in Communications medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
8.6field-weighted citation impact, top 2% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

22 citing papers in PubMed, 22 citations in OpenAlex.

  1. Article
  2. Article
  3. Impact of Gestational Maternal SARS-CoV-2 Infection on Neonatal Inflammatory Biomarkers.American journal of reproductive immunology (New York, N.Y. : 1989) · 2026
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Review
  17. Article
  18. Dried Spot Paradigm: Problems and Prospects in Proteomics.International journal of molecular sciences · 2025
    Review
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors at 5 institutions in 1 country.

Claudia FredoliniDepartment of Protein Science, SciLifeLab, KTH Royal Institute of Technology, 171 65, Solna, Sweden.ORCID http://orcid.org/0000-0002-7674-2014
Tea Dodig-Crnković *Department of Protein Science, SciLifeLab, KTH Royal Institute of Technology, 171 65, Solna, Sweden.
Annika Bendes *Department of Protein Science, SciLifeLab, KTH Royal Institute of Technology, 171 65, Solna, Sweden.ORCID http://orcid.org/0000-0001-9329-2353
Leo Dahl *Department of Protein Science, SciLifeLab, KTH Royal Institute of Technology, 171 65, Solna, Sweden.ORCID http://orcid.org/0000-0003-1492-3052
Matilda Dale *Department of Protein Science, SciLifeLab, KTH Royal Institute of Technology, 171 65, Solna, Sweden.ORCID http://orcid.org/0000-0002-5788-7744
Vincent AlbrechtDepartment of Protein Science, SciLifeLab, KTH Royal Institute of Technology, 171 65, Solna, Sweden.ORCID http://orcid.org/0009-0003-1985-7733
Cecilia MattssonDepartment of Protein Science, SciLifeLab, KTH Royal Institute of Technology, 171 65, Solna, Sweden.
Cecilia E ThomasDepartment of Protein Science, SciLifeLab, KTH Royal Institute of Technology, 171 65, Solna, Sweden.ORCID http://orcid.org/0000-0001-6201-6380
Åsa Torinsson NaluaiInstitute of Biomedicine, Sahlgrenska Academy at the University of Gothenburg, 405 30, Gothenburg, Sweden.ORCID http://orcid.org/0000-0002-0504-6492
Magnus GisslenDepartment of Infectious Diseases, The Sahlgrenska Academy at University of Gothenburg, 405 30, Gothenburg, Sweden.
Olof BeckDepartment of Clinical Neuroscience, Karolinska Institutet, 171 77, Stockholm, Sweden.
Niclas RoxhedMedTechLabs, BioClinicum, Karolinska University Hospital, 171 64, Solna, Sweden. roxhed@kth.se.ORCID http://orcid.org/0000-0002-7147-6730
Jochen M SchwenkDepartment of Protein Science, SciLifeLab, KTH Royal Institute of Technology, 171 65, Solna, Sweden. jochen.schwenk@scilifelab.se.ORCID http://orcid.org/0000-0001-8141-8449
Science for Life Laboratory · SEKarolinska Institutet · SEKarolinska University Hospital · SEPublic Health Agency of Sweden · SEUniversity of Gothenburg · SE

Funding

Familjen Erling-Perssons Stiftelse (Erling-Persson Family Foundation) Future-proofing against COVID-19Knut och Alice Wallenbergs Stiftelse (Knut and Alice Wallenberg Foundation) Human Protein AtlasKnut och Alice Wallenbergs Stiftelse (Knut and Alice Wallenberg Foundation) WASPScience for Life Laboratory (SciLifeLab) 2020.0182Science for Life Laboratory (SciLifeLab) 2020.0241Science for Life Laboratory (SciLifeLab) VC-2022-04451VINNOVA (Swedish Governmental Agency for Innovation Systems) 2020-04451
6 · The paper itself

Abstract

backgroundSelf-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.

methodsOur 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.

resultsOur 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

conclusionsProteome 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.

Identifiers

PMID38565620
PMCPMC10987641
OpenAlexW4393396978

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.