Frequent longitudinal blood microsampling and proteome monitoring identify disease markers and enable timely intervention in a mouse model of type 1 diabetes
type: Dataset
description: The work has been published as Parajuli et al. (2025) Diabetologia (https://doi.org/10.1007/s00125-025-06502-7) Frequent self-sampling of blood has the potential to identify early, disease-predictive markers, including proteins. In a study to test this hypothesis, we conducted regular microsampling of a mouse model over 14 days and monitored their molecular response to a type 1 diabetes (T1D)-associated virus. This longitudinal approach involved the collection of dried blood samples, which were subsequently analysed for 92 circulating proteins. The data revealed transient molecular changes in the virus-infected mice. Utilising machine learning techniques, we achieved a prediction accuracy of over 90% for infection status after day 2 post-infection. This high level of accuracy enabled timely treatment interventions with immune serum, which could potentially prevent the onset of diabetes in the infected animals. The data of this study underscores the utility of frequent blood microsampling as a method for monitoring disease progression during the pre-symptomatic phase, allowing for prompt medical interventions of immune-mediated inflammatory diseases, including T1D. Description of data files:- Mouse DBS_Batch 1_ProtPQN data_rmd1021.csv: ProtPQN normalised NPX values for Study batch 1. The signals are in log2-scale. All columns not described below contain protein measurements. - Mouse DBS_Batch 2_ProtPQN data.csv: ProtPQN normalised NPX values for Study batch 2. The signals are in log2-scale. All columns not described below contain protein measurements. - zscore_data_combined.csv: Z-score transformed measurements for both studies. All columns not described below contain protein measurements. - sample information study batch 1 and 2.csv: Sample information for all of the mice. - Mouse DBS_NPX_below LOD.xlsx; Raw data from Olink Signature NPX software for Study batch 1. Values are reported as NPX values and are in log2-scale. This file contains values for limit of detect…
creative work status: completed
  type: DefinedTerm
  in defined term set: http://publications.europa.eu/resource/authority/dataset-status
  term code: COMPLETED
creator: Anirudra Parajuli
  type: Person
  family name: Parajuli
  given name: Anirudra
creator: Annika Bendes
  type: Person
  family name: Bendes
  given name: Annika
creator: Fabian Byvald
  type: Person
  family name: Byvald
  given name: Fabian
creator: Virginia M. Stone
  type: Person
  family name: Stone
  given name: Virginia M.
creator: Emma Ringqvist
creator: Marta Butrym
  type: Person
  family name: Butrym
  given name: Marta
creator: Emmanouil Angelis
  type: Person
  family name: Angelis
  given name: Emmanouil
creator: Sophie Kipper
  type: Person
  family name: Kipper
  given name: Sophie
creator: Stefan Bauer
creator: Niclas Roxhed
  type: Person
  family name: Roxhed
  given name: Niclas
creator: Jochen Schwenk
creator: Malin Flodström Tullberg
date modified: 2025-07-31
date published: 2025-07-31
keywords: Medical and Health Sciences
  type: DefinedTerm
  term code: 3
keywords: Biological Sciences
  type: DefinedTerm
  term code: 106
keywords: Proteomics and intermolecular interactions (excl. medical proteomics)
keywords: Systems biology
keywords: Endocrinology
keywords: Infectious agents
keywords: Machine learning not elsewhere classified
keywords: Biomedical engineering not elsewhere classified
license: https://creativecommons.org/licenses/by/4.0/
publisher: Karolinska Institutet
version: 0

PropertyValue
property ID: DOI
value: 10.17044/SCILIFELAB.27368322

Emma Ringqvist
type: Person
family name: Ringqvist
given name: Emma

Stefan Bauer
type: Person
family name: Bauer
given name: Stefan

Jochen Schwenk
type: Person
affiliation: Science for Life Laboratory
family name: Schwenk
given name: Jochen

Science for Life Laboratory
type: Organization

Malin Flodström Tullberg
type: Person
family name: Flodström Tullberg
given name: Malin

Karolinska Institutet
type: Organization