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Non-Alcoholic Fatty Liver Disease (NAFLD) is a complex spectrum of diseases ranging from simple steatosis to Non-Alcoholic Steatohepatitis (NASH) with fibrosis, which can progress to cirrhosis and hepatocellular carcinoma. The pathogenesis of NAFLD is complex, involving crosstalk between multiple organs, cell-types, and environmental and genetic factors. Dysfunction of the adipose tissue plays a central role in NAFLD progression. Here, we analysed transcriptomics data obtained from the Visceral Adipose Tissue (VAT) of NAFLD patients to understand how the VAT metabolism is altered at the genome scale and co-regulated with other cellular processes during the progression from obesity to NASH with fibrosis. For this purpose, we performed Weighted Gene Co-expression Network Analysis (WGCNA), a method that organizes the disease transcriptome into functional modules of cellular processes and pathways. Our analysis revealed the coordination of metabolic and inflammatory modules (termed "immunometabolism") in the VAT of NAFLD patients. We found that genes of arachidonic acid, sphingolipid and glycosphingolipid metabolism were upregulated and co-expressed with genes of proinflammatory signalling pathways and hypoxia in NASH/NASH with fibrosis. We hypothesize that these metabolic alterations might play a role in sustaining VAT inflammation. Furthermore, immunometabolism related genes were also co-expressed with genes involved in Extracellular Matrix (ECM) degradation. Our analysis indicates that upregulation of both ECM degrading enzymes and their inhibitors (incoherent feedforward loop) potentially leads to the ECM deposition in the VAT of NASH with fibrosis patients.

Decision-making between life and death is one of the most important tasks of cells to maintain their genetic integrity. While the surviving mechanism is driven by Beclin1-dependent autophagy, the suicide processes are controlled by caspases-mediated apoptosis. Interestingly, both these processes share regulators such as Bcl2 and influence each other through feedback loops. The physiological relevance of the crosstalk between autophagy and apoptosis is still unclear. To gain system level insights, we have developed a mathematical model of the autophagy-apoptosis crosstalk. Our analysis reveals that a combination of Bcl2-dependent regulation and feedback loops between Beclin1 and caspases robustly enforces a sequential activation of cellular responses depending upon the intensity and duration of stress levels. The amplifying loops for caspases activation involving Beclin1-dependent inhibition of caspases and cleavage of Beclin1 by caspases (Beclin1 ┤ caspases ┤ Beclin1; caspases → cleaved Beclin1 → caspases) not only make the system bistable but also help to switch off autophagy at high stress levels. The presence of an additional positive feedback loop between Bcl2 and caspases helps to maintain the caspases activation by making the switch irreversible. Our results provide a framework for further experiments and modelling.

Complex biological systems, such as the cell cycle control network, are shown to be robust against various perturbations. It is crucial to identify the interactions of the network that can contribute towards robust cell cycle behaviour. The proteins in the cell cycle control network are regulated at the level of synthesis, degradation and activity. A closer examination of the network reveals that most of the proteins are subjected to all three types of regulation. Such multiple layers of regulation most probably contribute towards the robust cell cycle behaviour against perturbations. In this work, we investigate such a hypothesis by subjecting our budding yeast cell cycle model to global parameter perturbations using pre-defined viability criteria. We systematically tested the global role of regulated transcription and targeted degradation of proteins in driving robust cell cycle oscillations. We demonstrate that targeted degradation of proteins in the budding yeast cell cycle model makes the cell cycle oscillations robust against perturbations even in the absence of regulated transcription. We show that regulated transcription plays a major role in controlling the period of the cell cycle oscillations which is argued to be important for balanced cell growth and division. We show that both regulated transcription and degradation are part of feedback loops in the network which ensure robust function against parametric variations that can arise from the mutations and/or variations in protein levels.

Integration of nutrient and growth factor signaling pathways through mammalian TOR (mTOR) plays a central role in the regulation of cell growth. However, the mechanism of integration of these two signals in mTOR activation is largely unknown. Moreover, the nutritional input involving amino acids is yet to be characterized. Excess amino acid conditions, such as in obesity and protein-rich diets, are known to regulate insulin signaling through mTOR activation resulting in insulin resistance. Here, we develop a dynamic model to identify the regulatory role of amino acids in mTOR activation and to study its effect on insulin signaling in relation to multiple feedback loops present in the insulin signaling pathway. The analysis revealed that amino acids bring about multiple effects in the regulation of mTOR that might be represented by a single mechanism. Insulin signaling was demonstrated to operate between two extreme conditions involving tumor growth and insulin resistance, with multiple feedback loops tightly controlling and maintaining a robust insulin response. The state of insulin resistance was characterized by a decrease in the time lag or an increase in the magnitude of the negative feedback loop facilitated through perturbations such as excess input of amino acids. Such a condition disturbs the delicate balance between positive and negative feedback loops to yield an insulin-resistant state.