34 resultados para cross-talk
Resumo:
Clear cell renal cell carcinoma (ccRCC), a tubular epithelial cell (TEC) malignancy, frequently secretes tumor necrosis factor (TNF). TNF signals via two distinct receptors (TNFRs). TNFR1, expressed in normal kidney primarily on endothelial cells, activates apoptotic signaling kinase 1 and nuclear factor-kappaB (NF-kappaB) and induces cell death, whereas TNFR2, inducibly expressed on endothelial cells and on TECs by injury, activates endothelial/epithelial tyrosine kinase (Etk), which trans-activates vascular endothelial growth factor receptor 2 (VEGFR2) to promote cell proliferation. We investigated TNFR expression in clinical samples and function in short-term organ cultures of ccRCC tissue treated with wild-type TNF or specific muteins selective for TNFR1 (R1-TNF) or TNFR2 (R2-TNF). There is a significant increase in TNFR2 but not TNFR1 expression on malignant TECs that correlates with increasing malignant grade. In ccRCC organ cultures, R1-TNF increases TNFR1, activates apoptotic signaling kinase and NF-kappaB, and promotes apoptosis in malignant TECs. R2-TNF increases TNFR2, activates NF-kappaB, Etk, and VEGFR2 and increases entry into the cell cycle. Wild-type TNF induces both sets of responses. R2-TNF actions are blocked by pretreatment with a VEGFR2 kinase inhibitor. We conclude that TNF, acting through TNFR2, is an autocrine growth factor for ccRCC acting via Etk-VEGFR2 cross-talk, insights that may provide a more effective therapeutic approach to this disease.
Resumo:
Introduction: Transient receptor potential (TRP) channels are widely, but not uniformly, distributed in tissues. To date the dominant focus of attention has been on TRP expression and functionality in neurons. However, their expression and activation in selected non-neuronal cells suggest TRPs have a potential role in coordinating cross-talk during the inflammatory process. Fibroblasts comprise the major cell type in the dental pulp and play an important role in pulpal inflammation. Objectives: The aim of this study was to investigate the expression and functionality of the TRP channels TRPA1, TRPM8, TRPV4 and TRPV1 in human dental pulp fibroblasts. Methods: Dental pulp fibroblasts were derived by explant culture of pulps removed from extracted healthy teeth. Fibroblasts were cultured in DMEM supplemented with 10% FCS, 100U/ml penicillin and 100µg/ml streptomycin. Protein expression of TRP channels was investigated by SDS- polyacrylamide gel electrophoresis and Western blotting of cell lysates from fibroblast cells in culture. TRPA1, TRPM8, TRPV4 and TRPV1 expression was determined by specific antibodies, detected using appropriate anti-species antibodies and chemiluminescence. Functionality of TRP channels was determined by Ca2+ microfluorimetry. Cells were grown on cover slips and incubated with Fura 2AM prior to stimulation with icilin (TRPA1 agonist), menthol (TRPM8 agonist), 4 alpha-phorbol 12,13-didecanoate (4alphaPDD) (TRPV4 agonist) or capsaicin (TRPV1 agonist). Emitted fluorescence (F340/F380) was used to determine intracellular [Ca2+] levels. Results: Fibroblast expression of TRPA1, TRPM8, TRPV4 and TRPV1 was confirmed at the protein level by Western blotting. Increased intracellular [Ca2+] levels in response to icillin, methanol, 4alphaPDD and capsacin, indicated functional expression of TRPA1, TRPM8, TRPV4 and TRPV respectively. Conclusions: The presence and functionality of TRP channels on dental pulp fibroblasts suggests a potential role for these cells in the pulpal neurogenic inflammatory response. (Supported by a research grant from the Royal College of Surgeons of Edinburgh).
Resumo:
Heart failure (HF) is an increasingly prevalent and costly multifactorial syndrome with high morbidity and mortality rates. The exact pathophysiological mechanisms leading to the development of HF are not completely understood. Several emerging paradigms implicate cardiometabolic risk factors, inflammation, endothelial dysfunction, myocardial fibrosis, and myocyte dysfunction as key factors in the gradual progression from a healthy state to HF. Inflammation is now a recognized factor in disease progression in HF and a therapeutic target. Furthermore, the monocyte-platelet interaction has been highlighted as an important pathophysiological link between inflammation, thrombosis, endothelial activation, and myocardial malfunction. The contribution of monocytes and platelets to acute cardiovascular injury and acute HF is well established. However, their role and interaction in the pathogenesis of chronic HF are not well understood. In particular, the cross talk between monocytes and platelets in the peripheral circulation and in the vicinity of the vascular wall in the form of monocyte-platelet complexes (MPCs) may be a crucial element, which influences the pathophysiology and progression of chronic heart disease and HF. In this review, we discuss the role of monocytes and platelets as key mediators of cardiovascular inflammation in HF, the mechanisms of cell activation, and the importance of monocyte-platelet interaction and complexes in HF pathogenesis. Finally, we summarize recent information on pharmacological inhibition of inflammation and studies of antithrombotic strategies in the setting of HF that can inform opportunities for future work. We discuss recent data on monocyte-platelet interactions and the potential benefits of therapy directed at MPCs, particularly in the setting of HF with preserved ejection fraction.
Resumo:
Situational awareness is achieved naturally by the human senses of sight and hearing in combination. Automatic scene understanding aims at replicating this human ability using microphones and cameras in cooperation. In this paper, audio and video signals are fused and integrated at different levels of semantic abstractions. We detect and track a speaker who is relatively unconstrained, i.e., free to move indoors within an area larger than the comparable reported work, which is usually limited to round table meetings. The system is relatively simple: consisting of just 4 microphone pairs and a single camera. Results show that the overall multimodal tracker is more reliable than single modality systems, tolerating large occlusions and cross-talk. System evaluation is performed on both single and multi-modality tracking. The performance improvement given by the audio–video integration and fusion is quantified in terms of tracking precision and accuracy as well as speaker diarisation error rate and precision–recall (recognition). Improvements vs. the closest works are evaluated: 56% sound source localisation computational cost over an audio only system, 8% speaker diarisation error rate over an audio only speaker recognition unit and 36% on the precision–recall metric over an audio–video dominant speaker recognition method.