Literature DB >> 26202050

Prediction and prevention of type 1 diabetes: update on success of prediction and struggles at prevention.

Aaron Michels1, Li Zhang1, Anmar Khadra2, Jake A Kushner3, Maria J Redondo3, Massimo Pietropaolo4.   

Abstract

Type 1 diabetes mellitus (T1DM) is the archetypal example of a T cell-mediated autoimmune disease characterized by selective destruction of pancreatic β cells. The pathogenic equation for T1DM presents a complex interrelation of genetic and environmental factors, most of which have yet to be identified. On the basis of observed familial aggregation of T1DM, it is certain that there is a decided heritable genetic susceptibility for developing T1DM. The well-known association of T1DM with certain human histocompatibility leukocyte antigen (HLA) alleles of the major histocompatibility complex (MHC) was a major step toward understanding the role of inheritance in T1DM. Type 1 diabetes is a polygenic disease with a small number of genes having large effects (e.g., HLA) and a large number of genes having small effects. Risk of T1DM progression is conferred by specific HLA DR/DQ alleles [e.g., DRB1*03-DQB1*0201 (DR3/DQ2) or DRB1*04-DQB1*0302 (DR4/DQ8)]. In addition, the HLA allele DQB1*0602 is associated with dominant protection from T1DM in multiple populations. A concordance rate lower than 100% between monozygotic twins indicates a potential involvement of environmental factors on disease development. The detection of at least two islet autoantibodies in the blood is virtually pre-diagnostic for T1DM. The majority of children who carry these biomarkers, regardless of whether they have an a priori family history of the disease, will develop insulin-requiring diabetes. Facilitating pre-diagnosis is the timing of seroconversion which is most pronounced in the first 2 yr of life. Unfortunately the significant progress in improving prediction of T1DM has not yet been paralleled by safe and efficacious intervention strategies aimed at preventing the disease. Herein we summarize the chequered history of prediction and prevention of T1DM, describing successes and failures alike, and thereafter examine future trends in the exciting, partially explored field of T1DM prevention.
© 2015 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.

Entities:  

Keywords:  autoantibodies; diabetes; prediction of type 1 diabetes; prevention of type 1; type 1 diabetes

Mesh:

Substances:

Year:  2015        PMID: 26202050      PMCID: PMC4592445          DOI: 10.1111/pedi.12299

Source DB:  PubMed          Journal:  Pediatr Diabetes        ISSN: 1399-543X            Impact factor:   4.866


  181 in total

1.  Low-dose interleukin-2 fosters a dose-dependent regulatory T cell tuned milieu in T1D patients.

Authors:  Michelle Rosenzwajg; Guillaume Churlaud; Roberto Mallone; Adrien Six; Nicolas Dérian; Wahiba Chaara; Roberta Lorenzon; S Alice Long; Jane H Buckner; Georgia Afonso; Hang-Phuong Pham; Agnès Hartemann; Aixin Yu; Alberto Pugliese; Thomas R Malek; David Klatzmann
Journal:  J Autoimmun       Date:  2015-01-26       Impact factor: 7.094

2.  Harmonization of glutamic acid decarboxylase and islet antigen-2 autoantibody assays for national institute of diabetes and digestive and kidney diseases consortia.

Authors:  Ezio Bonifacio; Liping Yu; Alastair K Williams; George S Eisenbarth; Polly J Bingley; Santica M Marcovina; Kerstin Adler; Anette G Ziegler; Patricia W Mueller; Desmond A Schatz; Jeffrey P Krischer; Michael W Steffes; Beena Akolkar
Journal:  J Clin Endocrinol Metab       Date:  2010-05-05       Impact factor: 5.958

Review 3.  Beyond genetics. Influence of dietary factors and gut microbiota on type 1 diabetes.

Authors:  Dennis S Nielsen; Łukasz Krych; Karsten Buschard; Camilla H F Hansen; Axel K Hansen
Journal:  FEBS Lett       Date:  2014-04-18       Impact factor: 4.124

4.  Islet-cell antibodies in diabetes mellitus with autoimmune polyendocrine deficiencies.

Authors:  G F Bottazzo; A Florin-Christensen; D Doniach
Journal:  Lancet       Date:  1974-11-30       Impact factor: 79.321

5.  Revelation of specificity of 64K autoantibodies in IDDM serums by high-resolution 2-D gel electrophoresis. Unambiguous identification of 64K target antigen.

Authors:  S Baekkeskov; G Warnock; M Christie; R V Rajotte; P M Larsen; S Fey
Journal:  Diabetes       Date:  1989-09       Impact factor: 9.461

6.  Expanded T cells from pancreatic lymph nodes of type 1 diabetic subjects recognize an insulin epitope.

Authors:  Sally C Kent; Yahua Chen; Lisa Bregoli; Sue M Clemmings; Norma Sue Kenyon; Camillo Ricordi; Bernhard J Hering; David A Hafler
Journal:  Nature       Date:  2005-05-12       Impact factor: 49.962

7.  Regulatory vs. inflammatory cytokine T-cell responses to mutated insulin peptides in healthy and type 1 diabetic subjects.

Authors:  Maki Nakayama; Kristen McDaniel; Lisa Fitzgerald-Miller; Carol Kiekhaefer; Janet K Snell-Bergeon; Howard W Davidson; Marian Rewers; Liping Yu; Peter Gottlieb; John W Kappler; Aaron Michels
Journal:  Proc Natl Acad Sci U S A       Date:  2015-03-23       Impact factor: 11.205

Review 8.  Enterovirus infections and type 1 diabetes.

Authors:  Heikki Hyöty
Journal:  Ann Med       Date:  2002       Impact factor: 4.709

9.  High genetic risk for IDDM in the Pacific Northwest. First report from the Washington State Diabetes Prediction Study.

Authors:  R E Rowe; N J Leech; G T Nepom; D K McCulloch
Journal:  Diabetes       Date:  1994-01       Impact factor: 9.461

10.  Innate immunity and intestinal microbiota in the development of Type 1 diabetes.

Authors:  Li Wen; Ruth E Ley; Pavel Yu Volchkov; Peter B Stranges; Lia Avanesyan; Austin C Stonebraker; Changyun Hu; F Susan Wong; Gregory L Szot; Jeffrey A Bluestone; Jeffrey I Gordon; Alexander V Chervonsky
Journal:  Nature       Date:  2008-09-21       Impact factor: 49.962

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  24 in total

1.  CD19+IgM+ cells demonstrate enhanced therapeutic efficacy in type 1 diabetes mellitus.

Authors:  Andrew D Vonberg; Maria Acevedo-Calado; Aaron R Cox; Susan L Pietropaolo; Roberto Gianani; Steven K Lundy; Massimo Pietropaolo
Journal:  JCI Insight       Date:  2018-12-06

Review 2.  Circulating microRNAs and diabetes mellitus: a novel tool for disease prediction, diagnosis, and staging?

Authors:  G Sebastiani; L Nigi; G E Grieco; F Mancarella; G Ventriglia; F Dotta
Journal:  J Endocrinol Invest       Date:  2017-02-17       Impact factor: 4.256

3.  Detection and analysis of glucose metabolism-related genes in childhood diabetes using targeted next-generation sequencing: In pediatric population-a hospital-based study.

Authors:  Xiaoyan Wang; Fengyun Wang; Haiying Wu; Xiuli Chen; Rongrong Xie; Ting Chen; Hui Sun; Dandan Zhang; Linqi Chen
Journal:  Exp Ther Med       Date:  2020-03-06       Impact factor: 2.447

Review 4.  Paediatric genomics: diagnosing rare disease in children.

Authors:  Caroline F Wright; David R FitzPatrick; Helen V Firth
Journal:  Nat Rev Genet       Date:  2018-02-05       Impact factor: 53.242

5.  Prediction of type 1 diabetes using a genetic risk model in the Diabetes Autoimmunity Study in the Young.

Authors:  Brigitte I Frohnert; Michael Laimighofer; Jan Krumsiek; Fabian J Theis; Christiane Winkler; Jill M Norris; Anette-Gabriele Ziegler; Marian J Rewers; Andrea K Steck
Journal:  Pediatr Diabetes       Date:  2017-07-11       Impact factor: 4.866

Review 6.  New Insights into Diabetes Cell Therapy.

Authors:  Philippe A Lysy; Elisa Corritore; Etienne M Sokal
Journal:  Curr Diab Rep       Date:  2016-05       Impact factor: 4.810

Review 7.  Current Status on Immunological Therapies for Type 1 Diabetes Mellitus.

Authors:  Griselda Lim Loo Xin; Yap Pui Khee; Tan Yoke Ying; Jestin Chellian; Gaurav Gupta; Anil Philip Kunnath; Srinivas Nammi; Trudi Collet; Philip Michael Hansbro; Kamal Dua; Dinesh Kumar Chellappan
Journal:  Curr Diab Rep       Date:  2019-03-23       Impact factor: 4.810

8.  Lentiviral gene therapy vectors encoding VIP suppressed diabetes-related inflammation and augmented pancreatic beta-cell proliferation.

Authors:  Fulya Erendor; Elif Ozgecan Sahin; Ahter D Sanlioglu; Mustafa Kemal Balci; Thomas S Griffith; Salih Sanlioglu
Journal:  Gene Ther       Date:  2020-07-30       Impact factor: 5.250

9.  Predicting Type 1 Diabetes Onset using Novel Survival Analysis with Biomarker Ontology.

Authors:  Ying Li; Bin Liu; Vibha Anand; Jessica L Dunne; Markus Lundgren; Kenney Ng; Marian Rewers; Riitta Veijola; Mohamed Ghalwash
Journal:  AMIA Annu Symp Proc       Date:  2021-01-25

10.  Predicting progression to type 1 diabetes from ages 3 to 6 in islet autoantibody positive TEDDY children.

Authors:  Laura M Jacobsen; Helena E Larsson; Roy N Tamura; Kendra Vehik; Joanna Clasen; Jay Sosenko; William A Hagopian; Jin-Xiong She; Andrea K Steck; Marian Rewers; Olli Simell; Jorma Toppari; Riitta Veijola; Anette G Ziegler; Jeffrey P Krischer; Beena Akolkar; Michael J Haller
Journal:  Pediatr Diabetes       Date:  2019-01-29       Impact factor: 3.409

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