Literature DB >> 30089716

β Cell dysfunction exists more than 5 years before type 1 diabetes diagnosis.

Carmella Evans-Molina1,2,3,4,5,6, Emily K Sims4,5, Linda A DiMeglio4,5, Heba M Ismail7, Andrea K Steck8, Jerry P Palmer9, Jeffrey P Krischer10, Susan Geyer10, Ping Xu10, Jay M Sosenko11.   

Abstract

BACKGROUND: The duration and patterns of β cell dysfunction during type 1 diabetes (T1D) development have not been fully defined.
METHODS: Metabolic measures derived from oral glucose tolerance tests (OGTTs) were compared between autoantibody-positive (aAb+) individuals followed in the TrialNet Pathway to Prevention study who developed diabetes after 5 or more years or less than 5 years of longitudinal follow-up (Progressors≥5, n = 75; Progressors<5, n = 474) and 144 aAb-negative (aAb-) relatives.
RESULTS: Mean age at study entry was 15.0 ± 12.6 years for Progressors≥5; 12.0 ± 9.1 for Progressors<5; and 16.3 ± 10.4 for aAb- relatives. At baseline, Progressors≥5 already exhibited significantly lower fasting C-peptide (P < 0.01), C-peptide AUC (P < 0.001), and early C-peptide responses (30- to 0-minute C-peptide; P < 0.001) compared with aAb- relatives, while 2-hour glucose (P = 0.03), glucose AUC (<0.001), and Index60 (<0.001) were all higher. Despite significant baseline impairment, metabolic measures in Progressors≥5 were relatively stable until 2 years prior to T1D diagnosis, when there was accelerated C-peptide decline and rising glycemia from 2 years until diabetes diagnosis. Remarkably, patterns of progression within 3 years of diagnosis were nearly identical between Progressors≥5 and Progressors<5.
CONCLUSION: These data provide insight into the chronicity of β cell dysfunction in T1D and indicate that β cell dysfunction may precede diabetes diagnosis by more than 5 years in a subset of aAb+ individuals. Even among individuals with varying lengths of aAb positivity, our findings indicate that patterns of metabolic decline are uniform within the last 3 years of progression to T1D. TRIAL REGISTRATION: Clinicaltrials.gov NCT00097292. FUNDING: The Type 1 Diabetes TrialNet Study Group is a clinical trials network currently funded by the NIH through the National Institute of Diabetes and Digestive and Kidney Diseases, the National Institute of Allergy and Infectious Diseases, and The Eunice Kennedy Shriver National Institute of Child Health and Human Development and the Juvenile Diabetes Research Foundation.

Entities:  

Keywords:  Beta cells; Diabetes; Endocrinology; Insulin; Metabolism

Mesh:

Substances:

Year:  2018        PMID: 30089716      PMCID: PMC6129118          DOI: 10.1172/jci.insight.120877

Source DB:  PubMed          Journal:  JCI Insight        ISSN: 2379-3708


  32 in total

1.  Function of Isolated Pancreatic Islets From Patients at Onset of Type 1 Diabetes: Insulin Secretion Can Be Restored After Some Days in a Nondiabetogenic Environment In Vitro: Results From the DiViD Study.

Authors:  Lars Krogvold; Oskar Skog; Görel Sundström; Bjørn Edwin; Trond Buanes; Kristian F Hanssen; Johnny Ludvigsson; Manfred Grabherr; Olle Korsgren; Knut Dahl-Jørgensen
Journal:  Diabetes       Date:  2015-02-12       Impact factor: 9.461

2.  Decreased insulin response to glucose in islet cell antibody-negative siblings of type 1 diabetic children.

Authors:  J C Carel; C Boitard; P F Bougnères
Journal:  J Clin Invest       Date:  1993-07       Impact factor: 14.808

3.  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

4.  Prognostic markers for the development of type 1 diabetes in first-degree relatives of diabetic patients.

Authors:  Katarzyna Siewko; Anna Popławska-Kita; Beata Telejko; Rafał Maciulewski; Anna Zielińska; Agnieszka Nikołajuk; Maria Górska; Małgorzata Szelachowska
Journal:  Endokrynol Pol       Date:  2014       Impact factor: 1.582

5.  Development of autoantibodies in the TrialNet Natural History Study.

Authors:  Kendra Vehik; Craig A Beam; Jeffrey L Mahon; Desmond A Schatz; Michael J Haller; Jay M Sosenko; Jay S Skyler; Jeffrey P Krischer
Journal:  Diabetes Care       Date:  2011-07-12       Impact factor: 19.112

6.  Association of TCF7L2 variation with single islet autoantibody expression in children with type 1 diabetes.

Authors:  Maria J Redondo; Jesse Muniz; Luisa M Rodriguez; Dinakar Iyer; Fariba Vaziri-Sani; Morey W Haymond; Christiane S Hampe; Michael L Metzker; Struan F A Grant; Ashok Balasubramanyam
Journal:  BMJ Open Diabetes Res Care       Date:  2014-04-06

7.  Human islets contain four distinct subtypes of β cells.

Authors:  Craig Dorrell; Jonathan Schug; Pamela S Canaday; Holger A Russ; Branden D Tarlow; Maria T Grompe; Tamara Horton; Matthias Hebrok; Philip R Streeter; Klaus H Kaestner; Markus Grompe
Journal:  Nat Commun       Date:  2016-07-11       Impact factor: 14.919

8.  Defining and characterizing the progression of type 2 diabetes.

Authors:  Vivian A Fonseca
Journal:  Diabetes Care       Date:  2009-11       Impact factor: 19.112

9.  Trends of earlier and later responses of C-peptide to oral glucose challenges with progression to type 1 diabetes in diabetes prevention trial-type 1 participants.

Authors:  Jay M Sosenko; Jerry P Palmer; Lisa E Rafkin; Jeffrey P Krischer; David Cuthbertson; Carla J Greenbaum; George Eisenbarth; Jay S Skyler
Journal:  Diabetes Care       Date:  2009-12-23       Impact factor: 17.152

10.  Insulitis and β-Cell Mass in the Natural History of Type 1 Diabetes.

Authors:  Martha Campbell-Thompson; Ann Fu; John S Kaddis; Clive Wasserfall; Desmond A Schatz; Alberto Pugliese; Mark A Atkinson
Journal:  Diabetes       Date:  2015-11-18       Impact factor: 9.461

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  35 in total

1.  The role of proteomics in assessing beta-cell dysfunction and death in type 1 diabetes.

Authors:  Ernesto S Nakayasu; Wei-Jun Qian; Carmella Evans-Molina; Raghavendra G Mirmira; Decio L Eizirik; Thomas O Metz
Journal:  Expert Rev Proteomics       Date:  2019-06-24       Impact factor: 3.940

2.  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

3.  Activation of the HIF1α/PFKFB3 stress response pathway in beta cells in type 1 diabetes.

Authors:  Hiroshi Nomoto; Lina Pei; Chiara Montemurro; Madeline Rosenberger; Allison Furterer; Giovanni Coppola; Brian Nadel; Matteo Pellegrini; Tatyana Gurlo; Peter C Butler; Slavica Tudzarova
Journal:  Diabetologia       Date:  2019-11-13       Impact factor: 10.122

Review 4.  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

5.  Insulin-Like Growth Factor Dysregulation Both Preceding and Following Type 1 Diabetes Diagnosis.

Authors:  Melanie R Shapiro; Clive H Wasserfall; Sean M McGrail; Amanda L Posgai; Rhonda Bacher; Andrew Muir; Michael J Haller; Desmond A Schatz; Johnna D Wesley; Matthias von Herrath; William A Hagopian; Cate Speake; Mark A Atkinson; Todd M Brusko
Journal:  Diabetes       Date:  2019-12-11       Impact factor: 9.461

6.  Single Islet Autoantibody at Diagnosis of Clinical Type 1 Diabetes is Associated With Older Age and Insulin Resistance.

Authors:  Maria J Redondo; Jay Sosenko; Ingrid Libman; Jennifer J F McVean; Mustafa Tosur; Mark A Atkinson; Dorothy Becker; Susan Geyer
Journal:  J Clin Endocrinol Metab       Date:  2020-05-01       Impact factor: 5.958

Review 7.  The Contribution of Transcriptional Coregulators in the Maintenance of β-cell Function and Identity.

Authors:  Rebecca K Davidson; Sukrati Kanojia; Jason M Spaeth
Journal:  Endocrinology       Date:  2021-02-01       Impact factor: 4.736

Review 8.  Type 1 diabetes mellitus: much progress, many opportunities.

Authors:  Alvin C Powers
Journal:  J Clin Invest       Date:  2021-04-15       Impact factor: 14.808

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.  Preclinical evaluation of tyrosine kinase 2 inhibitors for human beta-cell protection in type 1 diabetes.

Authors:  Alexandra Coomans de Brachène; Angela Castela; Anne Op de Beeck; Raghavendra G Mirmira; Lorella Marselli; Piero Marchetti; Craig Masse; Wenyan Miao; Silvana Leit; Carmella Evans-Molina; Decio L Eizirik
Journal:  Diabetes Obes Metab       Date:  2020-07-05       Impact factor: 6.577

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