Literature DB >> 14747275

Autoimmune diabetes and the circle of tolerance.

Aldo A Rossini1.   

Abstract

The concept of immunological tolerance is central to our understanding of type 1 diabetes and the development of strategies for its prediction, prevention, and cure. Tolerance simply refers to the absence of an immune response. Most of us are born with an immune system that develops tolerance to all the other systems of our bodies as well as to the things that we eat. It is the loss of immunological tolerance that leads to autoimmunity. And when that autoimmune response directly or indirectly targets the beta-cell, type 1 diabetes is the result. In the U.S., 1 in 600 of us loses tolerance to pancreatic beta-cells. Interference with T-cell function after the loss of tolerance, as can be achieved with immunosuppressive drugs like cyclosporin, arrests the disease, but the cost in side effects is high. Clearly, stopping the loss of tolerance would be preferable. If we can stop the loss of tolerance, we can prevent the disease. We and many others have investigated both approaches. But what of the people who already have diabetes? For them a separate but related strategy, tolerance induction, is required. Specifically, islet transplantation tolerance induction holds out the promise of being able to cure the disease. This has been the ultimate goal of our laboratory's work for the past two decades.

Entities:  

Mesh:

Year:  2004        PMID: 14747275     DOI: 10.2337/diabetes.53.2.267

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


  22 in total

Review 1.  Pathogenesis of type 1 diabetes mellitus: interplay between enterovirus and host.

Authors:  Didier Hober; Pierre Sauter
Journal:  Nat Rev Endocrinol       Date:  2010-03-30       Impact factor: 43.330

Review 2.  Animal models have little to teach us about type 1 diabetes: 2. In opposition to this proposal.

Authors:  E H Leiter; M von Herrath
Journal:  Diabetologia       Date:  2004-10-19       Impact factor: 10.122

3.  Elimination of insulitis and augmentation of islet beta cell regeneration via induction of chimerism in overtly diabetic NOD mice.

Authors:  Chunyan Zhang; Ivan Todorov; Chia-Lei Lin; Mark Atkinson; Fouad Kandeel; Stephen Forman; Defu Zeng
Journal:  Proc Natl Acad Sci U S A       Date:  2007-01-31       Impact factor: 11.205

Review 4.  Update on islet transplantation.

Authors:  Michael McCall; A M James Shapiro
Journal:  Cold Spring Harb Perspect Med       Date:  2012-07       Impact factor: 6.915

5.  Modeling dynamic changes in type 1 diabetes progression: quantifying beta-cell variation after the appearance of islet-specific autoimmune responses.

Authors:  Patrick Nelson; Noah Smith; Stanca Ciupe; Weiping Zou; Gilbert S Omenn; Massimo Pietropaolo
Journal:  Math Biosci Eng       Date:  2009-10       Impact factor: 2.080

Review 6.  Closing the circle between the bedside and the bench: Toll-like receptors in models of virally induced diabetes.

Authors:  Rita Bortell; Steven C Pino; Dale L Greiner; Danny Zipris; Aldo A Rossini
Journal:  Ann N Y Acad Sci       Date:  2008-12       Impact factor: 5.691

Review 7.  Beta-cell Specific Autoantibodies: Are they Just an Indicator of Type 1 Diabetes?

Authors:  Georgia Fousteri; Elio Ippolito; Rizwan Ahmed; Abdel Rahim A Hamad
Journal:  Curr Diabetes Rev       Date:  2017

8.  The status of serum γ-interferonand antiviral antibodies in patients with type I and type 2 diabetes: A comparative study.

Authors:  Zhian M I Dezayee
Journal:  J Res Med Sci       Date:  2012-09       Impact factor: 1.852

9.  Investigating the role of T-cell avidity and killing efficacy in relation to type 1 diabetes prediction.

Authors:  Anmar Khadra; Massimo Pietropaolo; Gerald T Nepom; Arthur Sherman
Journal:  PLoS One       Date:  2011-05-10       Impact factor: 3.240

10.  Induction of mixed chimerism with MHC-mismatched but not matched bone marrow transplants results in thymic deletion of host-type autoreactive T-cells in NOD mice.

Authors:  Jeremy Racine; Miao Wang; Chunyan Zhang; Chia-Lei Lin; Hongjun Liu; Ivan Todorov; Mark Atkinson; Defu Zeng
Journal:  Diabetes       Date:  2011-02       Impact factor: 9.461

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