Farmer, S. | bioRxiv Science

bioRxiv2018

Toll-Like Receptor-4 Disruption Suppresses Adipose Tissue Remodeling and Increases Survival During Cancer Cachexia Syndrome

Cancer-induced cachexia, characterized by systemic inflammation, body weight loss, adipose tissue (AT) remodeling and muscle wasting, is a malignant metabolic syndrome with undefined etiology. Here, we show that Toll-like receptor 4 (TLR4) mediates AT remodeling, in particular, AT browning and inflammatory response in mice bearing Lewis lung carcinoma (LLC). LLC tumor-bearing (TB) TLR4-/- mice were spared from AT remodeling due to a reduced macrophage infiltration and adipocyte atrophy. TLR4-/- mice were also resistant to cold-induced browning of subcutaneous AT (scAT). Importantly, pharmacological inhibition of TLR4 reproduced the main protective effect against AT remodeling found in TLR4-/- TB mice. Moreover, the treatment was effective in prolonging the survival and attenuating tumor mass growth when compared to non-treated-TB animals. Further, tumor-induced elevation of circulating pro-inflammatory cytokines was similarly abolished in both genetic ablation and pharmacological inhibition of TLR4. These data suggest that TLR4 is a critical mediator and a promising therapeutic target for cancer-induced AT remodeling.\n\nHIGHLIGHTSO_LIGenetic ablation and pharmacological inhibition of TLR4 attenuate adipose tissue remodeling during cancer-associated cachexia;\nC_LIO_LITLR4 suppression play an essential role in the browning phenotype induced by cachexia;\nC_LIO_LIAdministration of TLR4 drug inhibitor increase survival and reduces tumor mass growth in tumor bearing mice;\nC_LIO_LITLR4 pathway is a promising target for cancer-cachexia therapeutic intervention.\nC_LI

cancer biology↗

bioRxiv2018

Temporal ordering of input modulates connectivity formation in a developmental neuronal network model of the cortex

Preterm infant brain activity is discontinuous; bursts of activity recorded using EEG (electroencephalography), thought to be driven by subcortical regions, display scale free properties and exhibit a complex temporal ordering known as long-range temporal correlations (LRTCs). During brain development, activity-dependent mechanisms are essential for synaptic connectivity formation, and abolishing burst activity in animal models leads to weak disorganised synaptic connectivity. Moreover, synaptic pruning shares similar mechanisms to spike-timing dependent plasticity (STDP), suggesting that the timing of activity may play a critical role in connectivity formation. We investigated, in a computational model of leaky integrate-and-fire neurones, whether the temporal ordering of burst activity within an external driving input could modulate connectivity formation in the network. Connectivity evolved across the course of simulations using an approach analogous to STDP, from networks with initial random connectivity. Small-world connectivity and hub neurones emerged in the network structure - characteristic properties of mature brain networks. Notably, driving the network with an external input which exhibited LRTCs in the temporal ordering of burst activity facilitated the emergence of these network properties, increasing the speed with which they emerged compared with when the network was driven by the same input with the bursts randomly ordered in time. Moreover, the emergence of small-world properties was dependent on the strength of the LRTCs. These results suggest that the temporal ordering of burst activity could play an important role in synaptic connectivity formation and the emergence of small-world topology in the developing brain.

neuroscience↗