Literature DB >> 29769238

Strength in Numbers: Opportunities for Enhancing the Development of Effective Treatments for Type 1 Diabetes-The TrialNet Experience.

Carla J Greenbaum1, Cate Speake1, Jeffrey Krischer2, Jane Buckner1, Peter A Gottlieb3, Desmond A Schatz4, Kevan C Herold5, Mark A Atkinson6,7.   

Abstract

The early to mid-1980s were an inflection point in the history of type 1 diabetes research. Two landmark events occurred: the initiation of immune-based interventions seeking to prevent type 1 diabetes and the presentation of an innovative model describing the disorder's natural history. Both formed the basis for hundreds of subsequent studies designed to achieve a dramatic therapeutic goal-a means to prevent and/or reverse type 1 diabetes. However, the need to screen large numbers of individuals and prospectively monitor them using immunologic and metabolic tests for extended periods of time suggested such efforts would require a large collaborative network. Hence, the National Institutes of Health formed the landmark Diabetes Prevention Trial-Type 1 (DPT-1) in the mid-1990s, an effort that led to Type 1 Diabetes TrialNet. TrialNet studies have helped identify novel biomarkers; delineate type 1 diabetes progression, resulting in identification of highly predictable stages defined by the accumulation of autoantibodies (stage 1), dysglycemia (stage 2), and disease meeting clinical criteria for diagnosis (stage 3); and oversee numerous clinical trials aimed at preventing disease progression. Such efforts pave the way for stage-specific intervention trials with improved hope that a means to effectively disrupt the disorder's development will be identified.
© 2018 by the American Diabetes Association.

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Year:  2018        PMID: 29769238      PMCID: PMC6014559          DOI: 10.2337/db18-0065

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


  76 in total

Review 1.  Genetics, pathogenesis and clinical interventions in type 1 diabetes.

Authors:  Jeffrey A Bluestone; Kevan Herold; George Eisenbarth
Journal:  Nature       Date:  2010-04-29       Impact factor: 49.962

2.  Differential transmission of type 1 diabetes from diabetic fathers and mothers to their offspring.

Authors:  Valma Harjutsalo; Antti Reunanen; Jaakko Tuomilehto
Journal:  Diabetes       Date:  2006-05       Impact factor: 9.461

3.  Prediction of autoantibody positivity and progression to type 1 diabetes: Diabetes Autoimmunity Study in the Young (DAISY).

Authors:  Jennifer M Barker; Katherine J Barriga; Liping Yu; Dongmei Miao; Henry A Erlich; Jill M Norris; George S Eisenbarth; Marian Rewers
Journal:  J Clin Endocrinol Metab       Date:  2004-08       Impact factor: 5.958

4.  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

5.  Screening strategies for the identification of multiple antibody-positive relatives of individuals with type 1 diabetes.

Authors:  Jeffrey P Krischer; David D Cuthbertson; Liping Yu; Tihamer Orban; Noel Maclaren; Richard Jackson; William E Winter; Desmond A Schatz; Jerry P Palmer; George S Eisenbarth
Journal:  J Clin Endocrinol Metab       Date:  2003-01       Impact factor: 5.958

6.  Type 1 Diabetes TrialNet--an international collaborative clinical trials network.

Authors:  Jay S Skyler; Carla J Greenbaum; John M Lachin; Ellen Leschek; Lisa Rafkin-Mervis; Peter Savage; Lisa Spain
Journal:  Ann N Y Acad Sci       Date:  2008-12       Impact factor: 5.691

7.  Specific human leukocyte antigen DQ influence on expression of antiislet autoantibodies and progression to type 1 diabetes.

Authors:  Maria J Redondo; Sunanda Babu; Adina Zeidler; Tihamer Orban; Liping Yu; Carla Greenbaum; Jerry P Palmer; David Cuthbertson; George S Eisenbarth; Jeffrey P Krischer; Desmond Schatz
Journal:  J Clin Endocrinol Metab       Date:  2006-02-07       Impact factor: 5.958

8.  Islet autoantibody seroconversion in the DPT-1 study: justification for repeat screening throughout childhood.

Authors:  Kendra Vehik; Michael J Haller; Craig A Beam; Desmond A Schatz; Diane K Wherrett; Jay M Sosenko; Jeffrey P Krischer
Journal:  Diabetes Care       Date:  2011-02       Impact factor: 19.112

9.  Glucose excursions between states of glycemia with progression to type 1 diabetes in the diabetes prevention trial-type 1 (DPT-1).

Authors:  Jay M Sosenko; Jay S Skyler; Jeffrey P Krischer; Carla J Greenbaum; Jeffrey Mahon; Lisa E Rafkin; David Cuthbertson; Catherine Cowie; Kevan Herold; George Eisenbarth; Jerry P Palmer
Journal:  Diabetes       Date:  2010-08-03       Impact factor: 9.461

10.  The Environmental Determinants of Diabetes in the Young (TEDDY) Study.

Authors: 
Journal:  Ann N Y Acad Sci       Date:  2008-12       Impact factor: 6.499

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  18 in total

1.  Dynamic Immune Phenotypes of B and T Helper Cells Mark Distinct Stages of T1D Progression.

Authors:  Tania Habib; S Alice Long; Peter L Samuels; Archana Brahmandam; Megan Tatum; Andrew Funk; Anne M Hocking; Karen Cerosaletti; Michael T Mason; Elizabeth Whalen; David J Rawlings; Carla Greenbaum; Jane H Buckner
Journal:  Diabetes       Date:  2019-03-20       Impact factor: 9.461

2.  B lymphocyte alterations accompany abatacept resistance in new-onset type 1 diabetes.

Authors:  Peter S Linsley; Carla J Greenbaum; Cate Speake; S Alice Long; Matthew J Dufort
Journal:  JCI Insight       Date:  2019-02-21

3.  C-Peptide Levels in Subjects Followed Longitudinally Before and After Type 1 Diabetes Diagnosis in TrialNet.

Authors:  Magdalena M Bogun; Brian N Bundy; Robin S Goland; Carla J Greenbaum
Journal:  Diabetes Care       Date:  2020-05-26       Impact factor: 19.112

4.  Multiplexing DNA methylation markers to detect circulating cell-free DNA derived from human pancreatic β cells.

Authors:  Daniel Neiman; David Gillis; Sheina Piyanzin; Daniel Cohen; Ori Fridlich; Joshua Moss; Aviad Zick; Tal Oron; Frida Sundberg; Gun Forsander; Oskar Skog; Olle Korsgren; Floris Levy-Khademi; Dan Arbel; Saar Hashavia; A M James Shapiro; Cate Speake; Carla Greenbaum; Jennifer Hosford; Amanda Posgai; Mark A Atkinson; Benjamin Glaser; Desmond A Schatz; Ruth Shemer; Yuval Dor
Journal:  JCI Insight       Date:  2020-07-23

Review 5.  Pre-RA: Can early diagnosis lead to prevention?

Authors:  Salina Haville; Kevin D Deane
Journal:  Best Pract Res Clin Rheumatol       Date:  2022-01-03       Impact factor: 4.098

Review 6.  Pancreatic β-cells in type 1 and type 2 diabetes mellitus: different pathways to failure.

Authors:  Décio L Eizirik; Lorenzo Pasquali; Miriam Cnop
Journal:  Nat Rev Endocrinol       Date:  2020-05-12       Impact factor: 43.330

Review 7.  The Effect of Age on the Progression and Severity of Type 1 Diabetes: Potential Effects on Disease Mechanisms.

Authors:  Pia Leete; Roberto Mallone; Sarah J Richardson; Jay M Sosenko; Maria J Redondo; Carmella Evans-Molina
Journal:  Curr Diab Rep       Date:  2018-09-26       Impact factor: 4.810

Review 8.  Rheumatoid Arthritis Pathogenesis, Prediction, and Prevention: An Emerging Paradigm Shift.

Authors:  Kevin D Deane; V Michael Holers
Journal:  Arthritis Rheumatol       Date:  2020-12-08       Impact factor: 10.995

9.  Teplizumab improves and stabilizes beta cell function in antibody-positive high-risk individuals.

Authors:  Emily K Sims; Brian N Bundy; Kenneth Stier; Elisavet Serti; Noha Lim; S Alice Long; Susan M Geyer; Antoinette Moran; Carla J Greenbaum; Carmella Evans-Molina; Kevan C Herold
Journal:  Sci Transl Med       Date:  2021-03-03       Impact factor: 17.956

10.  Induced regulatory T cells suppress Tc1 cells through TGF-β signaling to ameliorate STZ-induced type 1 diabetes mellitus.

Authors:  Li Zhou; Xuemin He; Peihong Cai; Ting Li; Rongdong Peng; Junlong Dang; Yue Li; Haicheng Li; Feng Huang; Guojun Shi; Chichu Xie; Yan Lu; Yanming Chen
Journal:  Cell Mol Immunol       Date:  2021-01-14       Impact factor: 22.096

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