Gene expression signature predicts rate of type 1 diabetes progression
Publiceringsår
2023
Upphovspersoner
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
Visa merAbstrakt
<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>
Visa merOrganisationer och upphovspersoner
Helsingfors universitet
Knip Mikael
Åbo universitet
Starskaia Inna
Elo Laura
Jaakkola Maria
Rasool Omid
Lahesmaa Riitta
Suomi Tomi
Välikangas Tommi
Grönroos Toni
Kalim Ubaid
Åbo Akademi
Lahesmaa Riitta
Helsingfors universitetssjukhus
Knip Mikael
Tammerfors universitetssjukhus
Knip Mikael
Publikationstyp
Publikationsform
Artikel
Moderpublikationens typ
Tidning
Artikelstyp
En originalartikel
Målgrupp
VetenskapligKollegialt utvärderad
Kollegialt utvärderadUKM:s publikationstyp
A1 Originalartikel i en vetenskaplig tidskriftPublikationskanalens uppgifter
Journal/Serie
Moderpublikationens namn
Volym
92
Artikelnummer
104625
ISSN
Publikationsforum
Publikationsforumsnivå
1
Öppen tillgång
Öppen tillgänglighet i förläggarens tjänst
Ja
Öppen tillgång till publikationskanalen
Helt öppen publikationskanal
Parallellsparad
Ja
Övriga uppgifter
Vetenskapsområden
Biokemi, cell- och molekylärbiologi; Biomedicinska vetenskaper; Allmänmedicin, inre medicin och annan klinisk medicin; Kvinno- och barnsjukdomar
Nyckelord
[object Object],[object Object],[object Object],[object Object],[object Object]
Publiceringsland
Nederländerna
Förlagets internationalitet
Internationell
Språk
engelska
Internationell sampublikation
Ja
Sampublikation med ett företag
Ja
DOI
10.1016/j.ebiom.2023.104625
Publikationen ingår i undervisnings- och kulturministeriets datainsamling
Ja