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

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dc.contributor.author KULKARNI, SHUBHANKAR en_US
dc.contributor.author Sharda, Sakshi en_US
dc.contributor.author WATVE, MILIND en_US
dc.date.accessioned 2019-07-01T05:31:30Z
dc.date.available 2019-07-01T05:31:30Z
dc.date.issued 2017-08 en_US
dc.identifier.citation PLOS ONE, 12(8), e0181536. en_US
dc.identifier.issn 1932-6203 en_US
dc.identifier.uri http://dr.iiserpune.ac.in:8080/xmlui/handle/123456789/3174
dc.identifier.uri https://doi.org/10.1371/journal.pone.0181536 en_US
dc.description.abstract 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. en_US
dc.language.iso en en_US
dc.publisher Public Library Science en_US
dc.subject Bi-stability en_US
dc.subject 2 diabetes mellitus en_US
dc.subject Multi-organ signalling network en_US
dc.subject Signaling networks en_US
dc.subject Insulin signaling en_US
dc.subject 2017 en_US
dc.title Bi-stability in type 2 diabetes mellitus multi-organ signalling network en_US
dc.type Article en_US
dc.contributor.department Dept. of Biology en_US
dc.identifier.sourcetitle PLOS ONE en_US
dc.publication.originofpublisher Foreign en_US


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