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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
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Abstrakt

<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>
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Organisationer och upphovspersoner

Åbo universitet

Starskaia Inna

Elo Laura

Jaakkola Maria

Rasool Omid

Lahesmaa Riitta

Suomi Tomi

Välikangas Tommi

Grönroos Toni

Kalim Ubaid

Åbo Akademi

Lahesmaa Riitta

Publikationstyp

Publikationsform

Artikel

Moderpublikationens typ

Tidning

Artikelstyp

En originalartikel

Målgrupp

Vetenskaplig

Kollegialt utvärderad

Kollegialt utvärderad

UKM:s publikationstyp

A1 Originalartikel i en vetenskaplig tidskrift

Publikationskanalens uppgifter

Journal/Serie

EBioMedicine

Moderpublikationens namn

EBioMedicine

Volym

92

Artikelnummer

104625

Publikationsforum

82311

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

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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