Frequent longitudinal blood microsampling and proteome monitoring identify disease markers and enable timely intervention in a mouse model of type 1 diabetes.

Journal: Diabetologia
Published Date: Aug 4, 2025

Abstract

AIMS/HYPOTHESIS: Type 1 diabetes manifests after irreversible beta cell damage, highlighting the crucial need for markers of the presymptomatic phase to enable early and effective interventions. Current efforts to identify molecular markers of disease-triggering events lack resolution and convenience. Analysing frequently self-collected dried blood spots (DBS) could enable the detection of early disease-predictive markers and facilitate tailored interventions. Here, we present a novel strategy for monitoring transient molecular changes induced by environmental triggers that enable timely disease interception.

Authors

  • Anirudra Parajuli
    Department of Medicine Huddinge, Karolinska Institutet, Stockholm, Sweden.
  • Annika Bendes
    Science for Life Laboratory, Department of Protein Science, KTH Royal Institute of Technology, Solna, Sweden.
  • Fabian Byvald
    Department of Medicine Huddinge, Karolinska Institutet, Stockholm, Sweden.
  • Virginia M Stone
    Department of Medicine Huddinge, Karolinska Institutet, Stockholm, Sweden.
  • Emma E Ringqvist
    Department of Medicine Huddinge, Karolinska Institutet, Stockholm, Sweden.
  • Marta Butrym
    Department of Medicine Huddinge, Karolinska Institutet, Stockholm, Sweden.
  • Emmanouil Angelis
    TUM School of Computation, Information and Technology, Technical University of Munich, Munich, Germany.
  • Sophie Kipper
    Department of Medicine Huddinge, Karolinska Institutet, Stockholm, Sweden.
  • Stefan Bauer
    Department of Computer Science, ETH Zurich, Zürich, Switzerland.
  • Niclas Roxhed
    Department of Intelligent Systems, KTH Royal Institute of Technology, Stockholm, Sweden.
  • Jochen M Schwenk
    Affinity Proteomics, Science for Life Laboratory, School of Engineering Sciences in Chemistry, Biotechnology and Health, KTH Royal Institute of Technology, Solna, Sweden.
  • Malin Flodström-Tullberg
    Department of Medicine Huddinge, Karolinska Institutet, Stockholm, Sweden. malin.flodstrom-tullberg@ki.se.

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