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Type 1 Diabetes in Children With Genetic Risk May Be Predicted Very Early With a Blood miRNA

  • Tomi Suomi
  • , Ubaid Ullah Kalim
  • , Omid Rasool
  • , Asta Laiho
  • , Henna Kallionpää
  • , Mari Vähä-Mäkilä
  • , Mirja Nurmio
  • , Juha Mykkänen
  • , Taina Härkönen
  • , Heikki Hyöty
  • , Jorma Ilonen
  • , Riitta Veijola
  • , Jorma Toppari
  • , Mikael Knip
  • , Laura L. Elo*
  • , Riitta Lahesmaa*
  • *Korresponderande författare för detta arbete

Forskningsoutput: TidskriftsbidragBrevVetenskapligPeer review

3 Citeringar (Scopus)
111 Nedladdningar (Pure)
OriginalspråkEngelska
Sidor (från-till)e77-e79
TidskriftDiabetes Care
Volym45
Nummer4
DOI
StatusPublicerad - apr. 2022
MoE-publikationstypB1 Artikel i en vetenskaplig tidskrift

Finansiering

This research was supported by the Academy of Finland, including InFLAMES, SYMMyS, and personalized medicine programs (grant numbers 337530, 292482, 250114, 292482, 294337, 292335, 319280, 314444, 329277, 331790, 296801, 304995, 310561, 314443, and 329278), JDRF, including grants 1-SRA-2016-342-M-R and 1-SRA-2019-732-M-B, the Diabetes Research Foundation (Diabetestutkimussäätiö), the Novo Nordisk Foundation, the Finnish Cancer Foundation, the Sigrid Jusélius Foundation, the Pediatric Research Foundation, Turku University Hospital Special Governmental Grants, and the Special Research Funds for University Hospitals in Finland. This research was also supported by grants from the European Research Council (677943), European Union's Horizon 2020 Research and Innovation Programme (955321), and the European Foundation for the Study of Diabetes. Biocenter Finland and ELIXIR Finland also support our research. Acknowledgments. The authors are grateful to the families of the DIPP study participants and the study group. The authors also thank the personnel of the HLA laboratory at the University of Turku and the islet autoantibody laboratory at the University of Oulu. Marjo Hakkarainen and Sarita Heinonen from Turku Bioscience Centre are acknowledged for their skillful assistance in the laboratory. Next-generation sequencing was performed at the Finnish Functional Genomics Centre, Turku, part of the Biocenter Finland network. The authors acknowledge the Finnish Centre for Scientific Computing for data analysis servers. Funding. This research was supported by the Academy of Finland, including InFLAMES, SYMMyS, and personalized medicine programs (grant numbers 337530, 292482, 250114, 292482, 294337, 292335, 319280, 314444, 329277, 331790, 296801, 304995, 310561, 314443, and 329278), JDRF, including grants 1-SRA-2016-342-M-R and 1-SRA-2019-732-M-B, the Diabetes Research Foundation (Diabetestutkimuss€a€atio€), the Novo Nordisk Foundation, the Finnish Cancer Foundation, the Sigrid Jusélius Foundation, the Pediatric Research Foundation, Turku University Hospital Special Governmental Grants, and the Special Research Funds for University Hospitals in Finland. This research was also supported by grants from the European Research Council (677943), European Union's Horizon 2020 Research and Innovation Programme (955321), and the European Foundation for the Study of Diabetes. Biocenter Finland and ELIXIR Finland also support our research. Duality of Interest. No potential conflicts of interest relevant to this article were reported. Author Contributions. T.S. and U.U.K. designed experiments, analyzed the data, prepared the figures, and wrote the manuscript. O.R. designed experiments, analyzed data, and wrote the manuscript. A.L., H.K., M.V.-M., M.N., J.M., and T.H. contributed to the design of the study and analysis. H.H., J.I., R.V., J.T., and M.K. were responsible for the DIPP cohort. R.V. and M.K. were responsible for the islet autoantibody analyses. All authors contributed to the final version of the manuscript. R.L. initiated, designed, and supervised the study. L.L.E. participated in the design of the study and analysis and supervised the study. R.L. and L.L.E. are the guarantors of this work and, as such, had full access to all the data in the study and take responsibility for the integrity of the data and the accuracy of the data analysis. Data and Resource Availability. Analyzed count data from miRNA-seq of the discovery cohort (87 samples from four case-control pairs) and the validation cohort (56 samples from 14 pairs) can be accessed from the ArrayExpress database (https://www.ebi.ac.uk/arrayexpress/) using the accession codes E-MTAB-10959 and E-MTAB-10968, respectively. Other data generated during the current study are available from the corresponding author on reasonable request.

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