A1 Refereed original research article in a scientific journal
A longitudinal plasma lipidomics dataset from children who developed islet autoimmunity and type 1 diabetes
Authors: Lamichhane S, Ahonen L, Dyrlund TS, Siljander H, Hyöty H, Ilonen J, Toppari J, Veijola R, Hyötyläinen T, Knip M, Orešič M
Publication year: 2018
Journal: Scientific Data
Journal name in source: Scientific data
Journal acronym: Sci Data
Article number: 180250
Volume: 5
Number of pages: 9
ISSN: 2052-4463
eISSN: 2052-4463
DOI: https://doi.org/10.1038/sdata.2018.250
Self-archived copy’s web address: https://research.utu.fi/converis/portal/detail/Publication/36928988
Early prediction and prevention of type 1 diabetes (T1D) are currently unmet medical needs. Previous metabolomics studies suggest that children who develop T1D are characterised by a distinct metabolic profile already detectable during infancy, prior to the onset of islet autoimmunity. However, the specificity of persistent metabolic disturbances in relation T1D development has not yet been established. Here, we report a longitudinal plasma lipidomics dataset from (1) 40 children who progressed to T1D during follow-up, (2) 40 children who developed single islet autoantibody but did not develop T1D and (3) 40 matched controls (6 time points: 3, 6, 12, 18, 24 and 36 months of age). This dataset may help other researchers in studying age-dependent progression of islet autoimmunity and T1D as well as of the age-dependence of lipidomic profiles in general. Alternatively, this dataset could more broadly used for the development of methods for the analysis of longitudinal multivariate data.
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