Journal article
Beta cell function in type 1 diabetes determined from clinical and fasting biochemical variables
John M Wentworth, Naiara G Bediaga, Lynne C Giles, Mario Ehlers, Stephen E Gitelman, Susan Geyer, Carmella Evans-Molina, Leonard C Harrison
DIABETOLOGIA | SPRINGER | Published : 2019
Abstract
AIMS/HYPOTHESIS: Beta cell function in type 1 diabetes is commonly assessed as the average plasma C-peptide concentration over 2 h following a mixed-meal test (CPAVE). Monitoring of disease progression and response to disease-modifying therapy would benefit from a simpler, more convenient and less costly measure. Therefore, we determined whether CPAVE could be reliably estimated from routine clinical variables. METHODS: Clinical and fasting biochemical data from eight randomised therapy trials involving participants with recently diagnosed type 1 diabetes were used to develop and validate linear models to estimate CPAVE and to test their accuracy in estimating loss of beta cell function and ..
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Awarded by Australian National Health and Medical Research Council (NHMRC)
Awarded by NIH
Awarded by National Institute of Allergy and Infectious Diseases (NIAID) of the National Institutes of Health
Awarded by NATIONAL INSTITUTE OF ALLERGY AND INFECTIOUS DISEASES
Awarded by NATIONAL INSTITUTE OF DIABETES AND DIGESTIVE AND KIDNEY DISEASES
Funding Acknowledgements
This work was supported by JDRF Australia (Clinical Practitioner Fellowship to JMW) and JDRF (Strategic Research Agreement to CE-M) and the Australian National Health and Medical Research Council (NHMRC) (Program Grant 1037321 to LCH and CRE 1078106 Fellowship to JMW). LCH is a Senior Principal Research Fellow of the NHMRC. This work was made possible through Victorian State Government Operational Infrastructure Support and Australian National Health and Medical Research Council Research Institute Infrastructure Support Scheme. This manuscript includes clinical and biochemical data provided by the TrialNet data repository from clinical trials TN-02, TN-05, TN-08, TN-09 and TN-14. TrialNet is currently funded by NIH grants U01 DK061010, U01 DK061034, U01 DK061042, U01 DK061058, U01 DK085461, U01 DK085465, U01 DK085466, U01 DK085476, U01 DK085499, U01 DK085509, U01 DK103180, U01 DK103153, U01 DK103266, U01 DK103282, U01 DK106984, U01 DK106994, U01 DK107013, U01 DK107014, UC4 DK106993, and the JDRF. Research reported in this publication was also performed as a project of the Immune Tolerance Network and was supported by the National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK) and the National Institute of Allergy and Infectious Diseases (NIAID) of the National Institutes of Health under Award Number UM1AI109565. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health. The funding sources had no role in the writing of the manuscript or the decision to submit it for publication.