Bi-stability in type 2 diabetes mellitus multi-organ signalling network.

Kulkarni, Shubhankar; Sharda, Sakshi; Watve, Milind (2017). Bi-stability in type 2 diabetes mellitus multi-organ signalling network. PLoS ONE, 12(8), e0181536. Public Library of Science 10.1371/journal.pone.0181536

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Type 2 diabetes mellitus (T2DM) is believed to be irreversible although no component of the pathophysiology is irreversible. We show here with a network model that the apparent irreversibility is contributed by the structure of the network of inter-organ signalling. A network model comprising all known inter-organ signals in T2DM showed bi-stability with one insulin sensitive and one insulin resistant attractor. The bi-stability was made robust by multiple positive feedback loops suggesting an evolved allostatic system rather than a homeostatic system. In the absence of the complete network, impaired insulin signalling alone failed to give a stable insulin resistant or hyperglycemic state. The model made a number of correlational predictions many of which were validated by empirical data. The current treatment practice targeting obesity, insulin resistance, beta cell function and normalization of plasma glucose failed to reverse T2DM in the model. However certain behavioural and neuro-endocrine interventions ensured a reversal. These results suggest novel prevention and treatment approaches which need to be tested empirically.

Item Type:

Journal Article (Original Article)

Division/Institute:

08 Faculty of Science > Department of Biology > Institute of Ecology and Evolution (IEE) > Behavioural Ecology
08 Faculty of Science > Department of Biology > Institute of Ecology and Evolution (IEE)

UniBE Contributor:

Sharda, Sakshi

Subjects:

500 Science > 570 Life sciences; biology
500 Science > 590 Animals (Zoology)

ISSN:

1932-6203

Publisher:

Public Library of Science

Language:

English

Submitter:

Andrea Stettler

Date Deposited:

18 Jul 2023 10:04

Last Modified:

18 Jul 2023 10:12

Publisher DOI:

10.1371/journal.pone.0181536

PubMed ID:

28767672

BORIS DOI:

10.48350/184923

URI:

https://boris.unibe.ch/id/eprint/184923

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