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High proinsulin:C-peptide ratio identifies individuals with stage 2 type 1 diabetes at high risk for progression to clinical diagnosis and responses to teplizumab treatment.

Citation
Sims, E. K., et al. “High Proinsulin:c-Peptide Ratio Identifies Individuals With Stage 2 Type 1 Diabetes At High Risk For Progression To Clinical Diagnosis And Responses To Teplizumab Treatment.”. Diabetologia, pp. 2283-2291.
Center Indiana University
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Author Emily K Sims, Susan M Geyer, Alice Long, Kevan C Herold
Keywords beta cell, Beta cell dysfunction, Beta cell stress, biomarker, precision medicine, proinsulin, Teplizumab, type 1 diabetes, Type 1 diabetes prevention
Abstract

AIMS/HYPOTHESIS: Tractable precision biomarkers to identify immunotherapy responders are lacking in type 1 diabetes. We hypothesised that proinsulin:C-peptide (PI:C) ratios, a readout of beta cell stress, could provide insight into type 1 diabetes progression and responses to immunotherapy.

METHODS: In this post hoc analysis, proinsulin and C-peptide levels were determined in baseline serum samples from 63 participants with stage 2 type 1 diabetes in the longitudinal TrialNet Teplizumab Prevention Study (n=41 in the teplizumab arm; n=22 in the placebo arm). In addition, previously tested demographic, C-peptide, glucose and proinsulin data were used for the new data analyses. The ratio of intact (unprocessed) proinsulin to C-peptide was analysed and relationships with progression to stage 3 diabetes were investigated.

RESULTS: Elevated baseline PI:C was strongly associated with more rapid progression of diabetes in both the placebo and teplizumab treatment groups, but teplizumab abrogated the impact of high pre-treatment PI:C on type 1 diabetes progression. Differential responses of drug treatment in those with high vs low PI:C ratios were independent of treatment effects of teplizumab on the PI:C ratio or on relevant immune cells.

CONCLUSIONS/INTERPRETATION: High pre-treatment PI:C identified individuals with stage 2 type 1 diabetes who were exhibiting rapid progression to stage 3 disease and who displayed benefit from teplizumab treatment. These data suggest that readouts of active disease, such as PI:C ratio, could serve to identify optimal candidates or timing for type 1 diabetes disease-modifying therapies.

Year of Publication
2023
Journal
Diabetologia
Volume
66
Issue
12
Number of Pages
2283-2291
Date Published
12/2023
ISSN Number
1432-0428
DOI
10.1007/s00125-023-06003-5
Alternate Journal
Diabetologia
PMID
37667106
PMCID
PMC10914155
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