Gene expression signature predicts rate of type 1 diabetes progression
Year of publication
2023
Authors
INNODIA Consortium; Suomi, Tomi; Starskaia, Inna; Kalim, Ubaid Ullah; Rasool, Omid; Jaakkola, Maria K.; Grönroos, Toni; Välikangas, Tommi; Brorsson, Caroline; Mazzoni, Gianluca; Bruggraber, Sylvaine; Overbergh, Lut; Dunger, David; Peakman, Mark; Chmura, Piotr; Brunak, Seren; Schulte, Anke M.; Mathieu, Chantal; Knip, Mikael; Lahesmaa, Riitta
Show moreAbstract
<p>Background: Type 1 diabetes is a complex heterogenous autoimmune disease without therapeutic interventions available to prevent or reverse the disease. This study aimed to identify transcriptional changes associated with the disease progression in patients with recent-onset type 1 diabetes. Methods: Whole-blood samples were collected as part of the INNODIA study at baseline and 12 months after diagnosis of type 1 diabetes. We used linear mixed-effects modelling on RNA-seq data to identify genes associated with age, sex, or disease progression. Cell-type proportions were estimated from the RNA-seq data using computational deconvolution. Associations to clinical variables were estimated using Pearson's or point-biserial correlation for continuous and dichotomous variables, respectively, using only complete pairs of observations. Findings: We found that genes and pathways related to innate immunity were downregulated during the first year after diagnosis. Significant associations of the gene expression changes were found with ZnT8A autoantibody positivity. Rate of change in the expression of 16 genes between baseline and 12 months was found to predict the decline in C-peptide at 24 months. Interestingly and consistent with earlier reports, increased B cell levels and decreased neutrophil levels were associated with the rapid progression. Interpretation: There is considerable individual variation in the rate of progression from appearance of type 1 diabetes-specific autoantibodies to clinical disease. Patient stratification and prediction of disease progression can help in developing more personalised therapeutic strategies for different disease endotypes. Funding: A full list of funding bodies can be found under Acknowledgments.</p>
Show moreOrganizations and authors
University of Helsinki
Knip Mikael
University of Turku
Starskaia Inna
Elo Laura
Jaakkola Maria
Rasool Omid
Lahesmaa Riitta
Suomi Tomi
Välikangas Tommi
Grönroos Toni
Kalim Ubaid
Åbo Akademi University
Lahesmaa Riitta
Helsinki University Hospital
Knip Mikael
Tampere University Hospital
Knip Mikael
Publication type
Publication format
Article
Parent publication type
Journal
Article type
Original article
Audience
ScientificPeer-reviewed
Peer-ReviewedMINEDU's publication type classification code
A1 Journal article (refereed), original researchPublication channel information
Journal/Series
Parent publication name
Volume
92
Article number
104625
ISSN
Publication forum
Publication forum level
1
Open access
Open access in the publisher’s service
Yes
Open access of publication channel
Fully open publication channel
Self-archived
Yes
Other information
Fields of science
Biochemistry, cell and molecular biology; Biomedicine; General medicine, internal medicine and other clinical medicine; Gynaecology and paediatrics
Keywords
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Publication country
Netherlands
Internationality of the publisher
International
Language
English
International co-publication
Yes
Co-publication with a company
Yes
DOI
10.1016/j.ebiom.2023.104625
The publication is included in the Ministry of Education and Culture’s Publication data collection
Yes