ISSN 1662-4009 (online)

ey0019.10-6 | New paradigms | ESPEYB19

10.6. Progression of type 1 diabetes from latency to symptomatic disease is predicted by distinct autoimmune trajectories

BC Kwon , V Anand , P Achenbach , JL Dunne , W Hagopian , J Hu , E Koski , AE Lernmark , M Lundgren , K Ng , J Toppari , R Veijola , BI Frohnert

T1DI Study Group. Nat Commun. 2022 Mar 21;13(1):1514. https://pubmed.ncbi.nlm.nih.gov/35314671/Brief Summary: This study of 5 birth cohorts of individuals at high risk for type 1 diabetes (T1D) used machine learning methods to explore trajectories from autoantibodies appearance to T1D progression. They identified 11 distinct latent health states and individuals progressed according to one o...

ey0020.2-15 | New Perspectives | ESPEYB20

2.15. Childhood height growth rate association with the risk of islet autoimmunity and development of type 1 diabetes

Z Li , R Veijola , E Koski , V Anand , F Martin , K Waugh , H Hyoty , C Winkler , MB Killian , M Lundgren , K Ng , M Maziarz , J Toppari

Brief summary: In this study, 10 145 children of 1–8 years of age, selected from a prospective systematic cohort study and stratified according to HLA-risk categories for type-1-diabetes (T1D), underwent a combined evaluation of pancreatic autoimmunity, glucose metabolism and anthropometry at different timeframes. Diagnosis of T1D occurred in 131/10,145 children (1.3%). Faster height growth, both before and after age 3 years, was significantly associated with the appearan...