The virtual NOD mouse: applying predictive biosimulation to research in type 1 diabetes. (Q51760010)

11 April 2018

title

The virtual NOD mouse: applying predictive biosimulation to research in type 1 diabetes. (English)

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11 April 2018

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Yanan Zheng

1

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Huub T C Kreuwel

2

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Daniel L Young

3

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Lisl K M Shoda

4

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Saroja Ramanujan

5

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Kapil G Gadkar

6

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Mark A Atkinson

7

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Chan C Whiting

8

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language of work or name

English

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publication date

21 March 2007

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Annals of the New York Academy of Sciences

published in

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volume

1103

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page(s)

45-62

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Effect of intensive therapy on the microvascular complications of type 1 diabetes mellitus

cites work

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https://api.crossref.org/works/10.1196%2FANNALS.1394.014

The NOD mouse: a model of immune dysregulation

21 January 2018

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A comprehensive review of interventions in the NOD mouse and implications for translation

21 January 2018

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Modeling insulin action for development of a closed-loop artificial pancreas

21 January 2018

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AIDA2: a Mk. II automated insulin dosage advisor

21 January 2018

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Insulin kinetics in type-I diabetes: continuous and bolus delivery of rapid acting insulin.

21 January 2018

1 reference

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Use of the Internet to optimize self-management of type 1 diabetes: preliminary experience with DiasNet

21 January 2018

1 reference

https://api.crossref.org/works/10.1196%2FANNALS.1394.014

Modeling, identification and nonlinear model predictive control of type I diabetic patient

21 January 2018

1 reference

https://api.crossref.org/works/10.1196%2FANNALS.1394.014

Onset of type 1 diabetes: a dynamical instability

21 January 2018

1 reference

https://api.crossref.org/works/10.1196%2FANNALS.1394.014

Modelling the onset of Type 1 diabetes: can impaired macrophage phagocytosis make the difference between health and disease?

21 January 2018

1 reference

https://api.crossref.org/works/10.1196%2FANNALS.1394.014

Investigation of the age-at-onset heterogeneity in type 1 diabetes through mathematical modeling.

21 January 2018

1 reference

https://api.crossref.org/works/10.1196%2FANNALS.1394.014

Guidelines for computer modeling of diabetes and its complications

21 January 2018

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Autoimmune diabetes onset results from qualitative rather than quantitative age-dependent changes in pathogenic T-cells.

21 January 2018

1 reference

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Single cell analysis shows decreasing FoxP3 and TGFbeta1 coexpressing CD4+CD25+ regulatory T cells during autoimmune diabetes

21 January 2018

1 reference

https://api.crossref.org/works/10.1196%2FANNALS.1394.014

A CD4+ T-cell subset inhibits antigen-specific T-cell responses and prevents colitis

21 January 2018

1 reference

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IL-10 directly acts on T cells by specifically altering the CD28 co-stimulation pathway

21 January 2018

1 reference

https://api.crossref.org/works/10.1196%2FANNALS.1394.014

IL-10, an inflammatory/inhibitory cytokine, but not always.

21 January 2018

1 reference

https://api.crossref.org/works/10.1196%2FANNALS.1394.014

Early expression of antiinsulin autoantibodies of humans and the NOD mouse: evidence for early determination of subsequent diabetes

21 January 2018

1 reference

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Physiological β Cell Death Triggers Priming of Self-reactive T Cells by Dendritic Cells in a Type-1 Diabetes Model

21 January 2018

1 reference

https://api.crossref.org/works/10.1196%2FANNALS.1394.014

Perspective: Postnatal pancreatic beta cell growth

21 January 2018

1 reference

https://api.crossref.org/works/10.1196%2FANNALS.1394.014

Islet growth and development in the adult

21 January 2018

1 reference

https://api.crossref.org/works/10.1196%2FANNALS.1394.014

Increased beta-cell proliferation and reduced mass before diabetes onset in the nonobese diabetic mouse.

21 January 2018

1 reference

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IL-10–producing and naturally occurring CD4+ Tregs: limiting collateral damage

21 January 2018

1 reference

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21 January 2018

Identifiers

DOI

10.1196/ANNALS.1394.014

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11 April 2018

PubMed ID

17376834

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11 April 2018