Deciphering the dynamical origin of the Adipogenic commitment during stress-induced disruption of the circadian rhythm
Das, D.; Charan, K.; Kar, S.
Show abstract
Obesity is a major health concern worldwide and is caused by an excessive fat accumulation in the body due to adipogenesis. Recent studies suggest that excessive stress or disruption of circadian rhythms can enhance adipogenic commitment and lead to obesity. Moreover, this adipogenic commitment occurs at a specific time of day, highlighting a correlation with the circadian rhythm. However, the dynamical nature of this kind of stress-induced adipogenic differentiation remains an unresolved puzzle. Herein, we proposed a mathematical model centred on the key transcription factor PPAR{gamma}, associated with adipogenic differentiation, and demonstrated that adipogenic commitment is a bistable, irreversible differentiation process in which slow positive feedback regulation of PPAR{gamma} primarily controls the differentiation commitment threshold. The model reproduced the experimental observations regarding the extent of adipogenesis induced by constant and pulsatile stress input signals and explained the correlation between adipogenic differentiation time and circadian phase. It further predicts how to control the adipogenic commitment even under stressful conditions. Overall, our study elucidates how stress signalling dynamically governs adipogenesis.
Matching journals
The top 8 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Impacts of the feedback loop between sense-antisense RNAs in regulating circadian rhythms 94%
- Unraveling Regulatory Feedback Mechanisms in Adult Neurogenesis Through Mathematical Modelling 93%
- Osmolyte homeostasis controls single-cell growth rate and maximum cell size of Saccharomyces cerevisiae 93%
Similar papers in this journal
- A mathematical model of calcium dynamics: Obesity and mitochondria-associated ER membranes 95%
- A Mechanism of Real-Time Noise Modulation in Neurons 94%
- Interplay scenarios between CatSper and CaV channels in sea urchin sperm flagellum signaling cascades triggered by egg peptides: a mathematical modelling approach 94%
Similar papers in this journal
- Computational Analysis of Insulin-Glucagon Signalling Network: Implications of Bistability in Metabolic Homeostasis and Disease states 95%
- A computational model elucidates the effect of oncogene induced expression alterations on the energy metabolism of neuroblastoma 93%
- When will the cancer start? Elucidating the correlations between cancer initiation times and lifetime cancer risks 93%
Similar papers in this journal
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.