Literature DB >> 34551936

The Deterrence of Rapid Metabolic Decline Within 3 Months After Teplizumab Treatment in Individuals at High Risk for Type 1 Diabetes.

Emily K Sims1, David Cuthbertson2, Kevan C Herold3, Jay M Sosenko4.   

Abstract

End points that provide an early identification of treatment effects are needed to implement type 1 diabetes prevention trials more efficiently. To this end, we assessed whether metabolic end points can be used to detect a teplizumab effect on rapid β-cell decline within 3 months after treatment in high-risk individuals in the TrialNet teplizumab trial. Glucose and C-peptide response curves (GCRCs) were constructed by plotting mean glucose and C-peptide values from 2-h oral glucose tolerance tests on a two-dimensional grid. Groups were compared visually for changes in GCRC shape and movement. GCRC changes reflected marked metabolic deterioration in the placebo group within 3 months of randomization. By 6 months, GCRCs resembled typical GCRCs at diagnosis. In contrast, GCRC changes in the teplizumab group suggested metabolic improvement. Quantitative comparisons, including two novel metabolic end points that indicate GCRC changes, the within-quadrant end point and the ordinal directional end point, were consistent with visual impressions of an appreciable treatment effect at the 3- and 6-month time points. In conclusion, an analytic approach combining visual evidence with novel end points demonstrated that teplizumab delays rapid metabolic decline and improves the metabolic state within 3 months after treatment; this effect extends for at least 6 months.
© 2021 by the American Diabetes Association.

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Year:  2021        PMID: 34551936      PMCID: PMC8660991          DOI: 10.2337/db21-0519

Source DB:  PubMed          Journal:  Diabetes        ISSN: 0012-1797            Impact factor:   9.461


  21 in total

Review 1.  Type 1 diabetes.

Authors:  Linda A DiMeglio; Carmella Evans-Molina; Richard A Oram
Journal:  Lancet       Date:  2018-06-16       Impact factor: 79.321

2.  Progression to diabetes in relatives of type 1 diabetic patients: mechanisms and mode of onset.

Authors:  Ele Ferrannini; Andrea Mari; Valentina Nofrate; Jay M Sosenko; Jay S Skyler
Journal:  Diabetes       Date:  2009-12-22       Impact factor: 9.461

3.  A risk score for type 1 diabetes derived from autoantibody-positive participants in the diabetes prevention trial-type 1.

Authors:  Jay M Sosenko; Jeffrey P Krischer; Jerry P Palmer; Jeffrey Mahon; Catherine Cowie; Carla J Greenbaum; David Cuthbertson; John M Lachin; Jay S Skyler
Journal:  Diabetes Care       Date:  2007-11-13       Impact factor: 19.112

4.  Validation of the Diabetes Prevention Trial-Type 1 Risk Score in the TrialNet Natural History Study.

Authors:  Jay M Sosenko; Jay S Skyler; Jeffrey Mahon; Jeffrey P Krischer; Craig A Beam; David C Boulware; Carla J Greenbaum; Lisa E Rafkin; Catherine Cowie; David Cuthbertson; Jerry P Palmer
Journal:  Diabetes Care       Date:  2011-06-16       Impact factor: 19.112

5.  The application of the diabetes prevention trial-type 1 risk score for identifying a preclinical state of type 1 diabetes.

Authors:  Jay M Sosenko; Jay S Skyler; Jeffrey Mahon; Jeffrey P Krischer; Craig A Beam; David C Boulware; Carla J Greenbaum; Lisa E Rafkin; Catherine Cowie; David Cuthbertson; Jerry P Palmer
Journal:  Diabetes Care       Date:  2012-04-30       Impact factor: 19.112

6.  A new approach for diagnosing type 1 diabetes in autoantibody-positive individuals based on prediction and natural history.

Authors:  Jay M Sosenko; Jay S Skyler; Linda A DiMeglio; Craig A Beam; Jeffrey P Krischer; Carla J Greenbaum; David Boulware; Lisa E Rafkin; Della Matheson; Kevan C Herold; Jeffrey Mahon; Jerry P Palmer
Journal:  Diabetes Care       Date:  2014-12-17       Impact factor: 19.112

7.  Teplizumab preserves C-peptide in recent-onset type 1 diabetes: two-year results from the randomized, placebo-controlled Protégé trial.

Authors:  William Hagopian; Robert J Ferry; Nicole Sherry; David Carlin; Ezio Bonvini; Syd Johnson; Kathryn E Stein; Scott Koenig; Anastasia G Daifotis; Kevan C Herold; Johnny Ludvigsson
Journal:  Diabetes       Date:  2013-06-25       Impact factor: 9.461

8.  Slowed Metabolic Decline After 1 Year of Oral Insulin Treatment Among Individuals at High Risk for Type 1 Diabetes in the Diabetes Prevention Trial-Type 1 (DPT-1) and TrialNet Oral Insulin Prevention Trials.

Authors:  Jay M Sosenko; Jay S Skyler; Kevan C Herold; Desmond A Schatz; Michael J Haller; Alberto Pugliese; Mario Cleves; Susan Geyer; Lisa E Rafkin; Della Matheson; Jerry P Palmer
Journal:  Diabetes       Date:  2020-05-21       Impact factor: 9.461

9.  Use of the Diabetes Prevention Trial-Type 1 Risk Score (DPTRS) for improving the accuracy of the risk classification of type 1 diabetes.

Authors:  Jay M Sosenko; Jay S Skyler; Jeffrey Mahon; Jeffrey P Krischer; Carla J Greenbaum; Lisa E Rafkin; Craig A Beam; David C Boulware; Della Matheson; David Cuthbertson; Kevan C Herold; George Eisenbarth; Jerry P Palmer
Journal:  Diabetes Care       Date:  2014-02-18       Impact factor: 19.112

10.  Dysglycemia and Index60 as Prediagnostic End Points for Type 1 Diabetes Prevention Trials.

Authors:  Brandon M Nathan; David Boulware; Susan Geyer; Mark A Atkinson; Peter Colman; Robin Goland; William Russell; John M Wentworth; Darrell M Wilson; Carmella Evans-Molina; Diane Wherrett; Jay S Skyler; Antoinette Moran; Jay M Sosenko
Journal:  Diabetes Care       Date:  2017-08-31       Impact factor: 19.112

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