A longitudinal plasma lipidomics dataset from children who developed islet autoimmunity and type 1 diabetes

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dc.contributor University of Helsinki, Children's Hospital en
dc.contributor University of Helsinki, Children's Hospital en
dc.contributor.author Lamichhane, Santosh
dc.contributor.author Ahonen, Linda
dc.contributor.author Dyrlund, Thomas Sparholt
dc.contributor.author Siljander, Heli
dc.contributor.author Hyöty, Heikki
dc.contributor.author Ilonen, Jorma
dc.contributor.author Toppari, Jorma
dc.contributor.author Veijola, Riitta
dc.contributor.author Hyötyläinen, Tuulia
dc.contributor.author Knip, Mikael
dc.contributor.author Oresic, Matej
dc.date.accessioned 2018-11-22T11:59:01Z
dc.date.available 2018-11-22T11:59:01Z
dc.date.issued 2018-11-13
dc.identifier.citation Lamichhane , S , Ahonen , L , Dyrlund , T S , Siljander , H , Hyöty , H , Ilonen , J , Toppari , J , Veijola , R , Hyötyläinen , T , Knip , M & Oresic , M 2018 , ' A longitudinal plasma lipidomics dataset from children who developed islet autoimmunity and type 1 diabetes ' , Scientific data , vol. 5 , 180250 . https://doi.org/10.1038/sdata.2018.250 en
dc.identifier.issn 2052-4463
dc.identifier.other PURE: 119470109
dc.identifier.other PURE UUID: e036f892-cbb7-4f51-a3d3-ed6111dbf2f6
dc.identifier.other WOS: 000449924000001
dc.identifier.other Scopus: 85056307525
dc.identifier.uri http://hdl.handle.net/10138/265100
dc.description.abstract 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. en
dc.format.extent 9
dc.language.iso eng
dc.relation.ispartof Scientific data
dc.rights en
dc.subject BETA-CELL AUTOIMMUNITY en
dc.subject NATURAL-HISTORY en
dc.subject POPULATION en
dc.subject RISK en
dc.subject PREDICTION en
dc.subject HLA-DQB1 en
dc.subject 3111 Biomedicine en
dc.title A longitudinal plasma lipidomics dataset from children who developed islet autoimmunity and type 1 diabetes en
dc.type Article
dc.description.version Peer reviewed
dc.identifier.doi https://doi.org/10.1038/sdata.2018.250
dc.type.uri info:eu-repo/semantics/other
dc.type.uri info:eu-repo/semantics/publishedVersion
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