Endothelial cells(ECs)not only serve as a barrier between blood and extravascular space to modulate the exchange of fluid,macromolecules and cells,but also play a critical role in regulation of vascular homeostasis an...Endothelial cells(ECs)not only serve as a barrier between blood and extravascular space to modulate the exchange of fluid,macromolecules and cells,but also play a critical role in regulation of vascular homeostasis and adaptation under mechanical stimulus via intrinsic mechanotransduction.Recently,with the dissection of microdomains responsible for cellular responsiveness to mechanical stimulus,a lot of mechanosensing molecules(mechanosensors)and pathways have been identified in ECs.In addition,there is growing evidence that endothelial mechanosensors not only serve as key vascular gatekeepers,but also contribute to the pathogenesis of various vascular disorders.This review focuses on recent findings in endothelial mechanosensors in subcellular microdomains and their roles in regulation of physiological and pathological functions under mechanical stress.展开更多
This paper discusses some of the concept of modeling surgery outcome. It is also an attempt to offer a road map for progress. This paper may serve as a common ground of discussion for both communities i.e surgeons and...This paper discusses some of the concept of modeling surgery outcome. It is also an attempt to offer a road map for progress. This paper may serve as a common ground of discussion for both communities i.e surgeons and computational scientist in its broadest sense. Predicting surgery outcome is a very difficult task. All patients are different, and multiple factors such as genetic, or environment conditions plays a role. The difficulty is to construct models that are complex enough to address some of these significant multiscale elements and simple enough to be used in clinical conditions and calibrated on patient data. We will pro- vide a multilevel progressive approach inspired by two applications in surgery that we have been working on. One is about vein graft adaptation after a transplantation, the other is the recovery of cosmesis outcome after a breast lumpectomy. This work, that is still very much in progress, may teach us some lessons. We are convinced that the digital revolution that is transforming the working environment of the surgeon makes closer collaboration between surgeons and computational scientist unavoidable. We believe that ＂computational surgery＂ will allow the community to develop predictive model of the surgery outcome and greatprogresses in surgery procedures that goes far beyond the operating room procedural aspect.展开更多
基金supported by the National Natural Science Foundation of China(91339111,31221002)National Basic Research Program of China(2012CB945100)to Luo JinCai
文摘Endothelial cells(ECs)not only serve as a barrier between blood and extravascular space to modulate the exchange of fluid,macromolecules and cells,but also play a critical role in regulation of vascular homeostasis and adaptation under mechanical stimulus via intrinsic mechanotransduction.Recently,with the dissection of microdomains responsible for cellular responsiveness to mechanical stimulus,a lot of mechanosensing molecules(mechanosensors)and pathways have been identified in ECs.In addition,there is growing evidence that endothelial mechanosensors not only serve as key vascular gatekeepers,but also contribute to the pathogenesis of various vascular disorders.This review focuses on recent findings in endothelial mechanosensors in subcellular microdomains and their roles in regulation of physiological and pathological functions under mechanical stress.
基金supported by the Bookout Endowed Chair of Professor Barbara Bass MDthe Partner University Funds, the Atlantis ProgramNIH under the contract R01HL095508-01
文摘This paper discusses some of the concept of modeling surgery outcome. It is also an attempt to offer a road map for progress. This paper may serve as a common ground of discussion for both communities i.e surgeons and computational scientist in its broadest sense. Predicting surgery outcome is a very difficult task. All patients are different, and multiple factors such as genetic, or environment conditions plays a role. The difficulty is to construct models that are complex enough to address some of these significant multiscale elements and simple enough to be used in clinical conditions and calibrated on patient data. We will pro- vide a multilevel progressive approach inspired by two applications in surgery that we have been working on. One is about vein graft adaptation after a transplantation, the other is the recovery of cosmesis outcome after a breast lumpectomy. This work, that is still very much in progress, may teach us some lessons. We are convinced that the digital revolution that is transforming the working environment of the surgeon makes closer collaboration between surgeons and computational scientist unavoidable. We believe that ＂computational surgery＂ will allow the community to develop predictive model of the surgery outcome and greatprogresses in surgery procedures that goes far beyond the operating room procedural aspect.
