Interlinked dual-time feedback loops can enhance robustness to stochasticity and persistence of memory.

Multiple interlinked positive feedback loops shape the stimulus responses of various biochemical systems, such as the cell cycle or intracellular Ca2+ release. Recent studies with simplified models have identified two advantages of coupling fast and slow feedback loops. This dual-time structure enables a fast response while enhancing resistances of responses and bistability to stimulus noise. We now find that (1) the dual-time structure similarly confers resistance to internal noise due to molecule number fluctuations, and (2) model variants with altered coupling, which better represent some specific biochemical systems, share all the above advantages. We also develop a similar bistable model with coupling of a fast autoactivation loop to a slow loop. This model's topology was suggested by positive feedback proposed to play a role in long-term synaptic potentiation (LTP). The advantages of fast response and noise resistance are also present in this autoactivation model. Empirically, LTP develops resistance to reversal over approximately 1h . The model suggests this resistance may result from increased amounts of synaptic kinases involved in positive feedback.

A physiological role of cytochromes P450 4Fs: Mouse model

Cytochromes P450 4Fs (CYP4F) are a subfamily of enzymes involved in arachidonic acid metabolism with highest catalytic activity towards leukotriene B 4 (LTB4), a potent chemoattractant involved in prompting inflammation. CYP4F-mediated metabolism of LTB4 leads to inactive ω-hydroxy products incapable of initiating chemotaxis and the inflammatory stimuli that result in the influx of inflammatory cells. Our hypothesis is based on the catalytic ability of CYP4Fs to inactivate pro-inflammatory LTB4 which assures these enzymes a pivotal role in the process of inflammation resolution. ^ To test this hypothesis and evaluate the changes in CYP4F expression under complex inflammatory conditions, we designed two mouse models, one challenged with lipopolysaccharide (LPS) as a sterile model of sepsis and the other challenged with a systemic live bacterial infection of Citrobacter rodentium, an equivalent of the human enterobacterium E. coli pathogen invasion. Based on the evidence that Peroxisome Proliferator Activated Receptors (PPARs) play an active role in inflammation regulation, we also examined PPARs as a regulation mechanism in CYP4F expression during inflammation using PPARα knockout mice under LPS challenge. Using the Citrobacter rodentium model of inflammation, we studied CYP4F levels to compare them to those in LPS challenged animals. LPS-triggered inflammation signal is mediated by Toll-like 4 (TLR4) receptors which specifically respond to LPS in association with several other proteins. Using TLR4 knockout mice challenged with Citrobacter rodentium we addressed possible mediation of CYP4F expression regulation via these receptors. ^ Our results show isoform- and tissue-specific CYP4F expression in all the tissues examined. The Citrobacter rodentium inflammation model revealed significant reduction in liver expression of CYP4F14 and CYP4F15 and an up-regulation of gene expression of CYP4F16 and CYP4F18. TLR4 knockout studies showed that the decrease in hepatic CYP4F15 expression is TLR4-dependent. CYP4F expression in kidney shows down-regulation of CYP4F14 and CYP4F15 and up-regulation of CYP4F18 expression. In the LPS inflammation model, we showed similar patterns of CYP4F changes as in Citrobacter rodentium -infected mice. The renal profile of CYP4Fs in PPARα knockout mice with LPS challenge showed CYP4F15 down-regulation to be PPARα dependent. Our study confirmed tissue- and isoform-specific regulation of CYP4F isoforms in the course of inflammation. ^