Frequent longitudinal blood microsampling and proteome monitoring identify disease markers and enable timely intervention in a mouse model of type 1 diabetes
Additional data available at https://doi.org/10.17044/scilifelab.27368322 . Additional visualisations are presented in the Shiny app interface https://mouse-dbs-profiling.serve.scilifelab.se/ .
Authors
- Virginia M. Stone (ORCID: https://orcid.org/0000-0003-3091-2142)
- Emma Ringqvist (ORCID: https://orcid.org/0000-0001-6303-6076)
- Niclas Roxhed (ORCID: https://orcid.org/0000-0002-7147-6730)
- Stefan Bauer (ORCID: https://orcid.org/0000-0003-1712-060X)
- Annika Bendes (ORCID: https://orcid.org/0000-0001-9329-2353)
- Jochen M. Schwenk (ORCID: https://orcid.org/0000-0001-8141-8449)
- Fabian Byvald (ORCID: https://orcid.org/0000-0003-0516-5448)
- Emmanouil Angelis
- Marta Butrym (ORCID: https://orcid.org/0000-0002-9285-7276)
- Malin Flodström‐Tullberg (ORCID: https://orcid.org/0000-0003-2685-2052)
- Anirudra Parajuli (ORCID: https://orcid.org/0000-0001-6886-0566)
- Sophie Kipper
Institutions
- Karolinska University Hospital (SE)
- Science for Life Laboratory (SE)
- Karolinska Institutet (SE)
- Technical University of Munich (DE)
- KTH Royal Institute of Technology (SE)
Publication Details
- Journal
- Diabetologia
- Published
- 2025-08-04
- DOI
- https://doi.org/10.1007/s00125-025-06502-7
- Citations
- 2
- Primary Topic
- Diabetes and associated disorders
- Type
- article
- Field-Weighted Citation Impact
- 3.63
Funders
- Karolinska Institutet
- Kungliga Tekniska Högskolan
- Vetenskapsrådet
- Barndiabetesfonden
- Diabetesfonden
- Science for Life Laboratory
- Novo Nordisk Fonden