<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Sims EK</submitter><funding>NCATS NIH HHS</funding><funding>National Institute of Diabetes and Digestive and Kidney Diseases</funding><funding>NIDDK NIH HHS</funding><funding>Juvenile Diabetes Research Foundation International</funding><funding>John Templeton Foundation</funding><pagination>2283-2291</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC10914155</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>66(12)</volume><pubmed_abstract>&lt;h4>Aims/hypothesis&lt;/h4>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.&lt;h4>Methods&lt;/h4>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.&lt;h4>Results&lt;/h4>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.&lt;h4>Conclusions/interpretation&lt;/h4>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.</pubmed_abstract><journal>Diabetologia</journal><pubmed_title>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.</pubmed_title><pmcid>PMC10914155</pmcid><funding_grant_id>U01 DK061042</funding_grant_id><funding_grant_id>R01DK129523</funding_grant_id><funding_grant_id>U01 DK085476</funding_grant_id><funding_grant_id>U01 DK085453</funding_grant_id><funding_grant_id>R01 DK057846</funding_grant_id><funding_grant_id>U01 DK085499</funding_grant_id><funding_grant_id>UL1 TR001863</funding_grant_id><funding_grant_id>U01 DK103180</funding_grant_id><funding_grant_id>U01 DK085509</funding_grant_id><funding_grant_id>R01DK057846</funding_grant_id><funding_grant_id>R01 DK129523</funding_grant_id><funding_grant_id>UC4 DK106993</funding_grant_id><funding_grant_id>U01 DK106993</funding_grant_id><funding_grant_id>U01 DK106994</funding_grant_id><funding_grant_id>U01 DK103266</funding_grant_id><funding_grant_id>R01 DK133881</funding_grant_id><funding_grant_id>R01 DK121929</funding_grant_id><funding_grant_id>U01DK127382</funding_grant_id><funding_grant_id>U01 DK103282</funding_grant_id><funding_grant_id>U01 DK061010</funding_grant_id><funding_grant_id>U01 DK085461</funding_grant_id><funding_grant_id>U01 DK061034</funding_grant_id><funding_grant_id>U01 DK085465</funding_grant_id><funding_grant_id>62288</funding_grant_id><funding_grant_id>R01 DK121843</funding_grant_id><funding_grant_id>P30DK097512</funding_grant_id><funding_grant_id>U01 DK085466</funding_grant_id><funding_grant_id>U01 DK061058</funding_grant_id><funding_grant_id>P30 DK097512</funding_grant_id><funding_grant_id>U01 DK085504</funding_grant_id><funding_grant_id>SRA-2019-833-S-B</funding_grant_id><funding_grant_id>R01DK121929</funding_grant_id><funding_grant_id>U01 DK107013</funding_grant_id><funding_grant_id>U01 DK107014</funding_grant_id><funding_grant_id>UC4 DK097835</funding_grant_id><funding_grant_id>U01 DK106984</funding_grant_id><funding_grant_id>U01 DK103153</funding_grant_id><funding_grant_id>U01 DK127382</funding_grant_id><funding_grant_id>R01DK133881</funding_grant_id><pubmed_authors>Herold KC</pubmed_authors><pubmed_authors>Long SA</pubmed_authors><pubmed_authors>Geyer SM</pubmed_authors><pubmed_authors>Sims EK</pubmed_authors></additional><is_claimable>false</is_claimable><name>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.</name><description>&lt;h4>Aims/hypothesis&lt;/h4>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.&lt;h4>Methods&lt;/h4>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.&lt;h4>Results&lt;/h4>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.&lt;h4>Conclusions/interpretation&lt;/h4>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.</description><dates><release>2023-01-01T00:00:00Z</release><publication>2023 Dec</publication><modification>2026-06-03T00:44:51.745Z</modification><creation>2025-04-06T15:08:50.184Z</creation></dates><accession>S-EPMC10914155</accession><cross_references><pubmed>37667106</pubmed><doi>10.1007/s00125-023-06003-5</doi></cross_references></HashMap>