Biomarker panels associated with progression of renal disease in type 1 diabetes

AIMS/HYPOTHESIS: We aimed to identify a sparse panel of biomarkers for improving the prediction of renal disease progression in type 1 diabetes. METHODS: We considered 859 individuals recruited from the Scottish Diabetes Research Network Type 1 Bioresource (SDRNT1BIO) and 315 individuals from the Fi...

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Detalles Bibliográficos
Autores principales: Colombo, Marco, Valo, Erkka, McGurnaghan, Stuart J., Sandholm, Niina, Blackbourn, Luke A. K., Dalton, R. Neil, Dunger, David, Groop, Per-Henrik, McKeigue, Paul M., Forsblom, Carol, Colhoun, Helen M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6677704/
https://www.ncbi.nlm.nih.gov/pubmed/31222504
http://dx.doi.org/10.1007/s00125-019-4915-0

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6677704/
https://www.ncbi.nlm.nih.gov/pubmed/31222504
http://dx.doi.org/10.1007/s00125-019-4915-0

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