PURPOSE: To investigate air puff induced corneal vibrations and their relationship to the intraocular pressure (IOP), viscoelasticity, mass, and elasticity of the cornea based on theoretical simulations and preliminary clinical observations. METHODS:To simulate the corneal movement during air puff deformation, a kinematic viscoelastic corneal model was developed involving the factors of corneal mass, damping coefficient, elasticity, and IOP. Different parameter values were taken to investigate how factors would affect the corneal movements. Two clinical ocular instruments, CorVis ST (Oculus Optikgeräte GmbH, Wetzlar, Germany) and the Ocular Response Analyzer (ORA; Reichert, Inc., Buffalo, NY), were employed to observe the corneal dynamical behaviors. RESULTS:Numerical results showed that during the air puff deformation, there would be vibrations along with the corneal deformation, and the damping viscoelastic response of the cornea had the potential to reduce the vibration amplitude. With consistent IOP, the overall vibration amplitude and inward motion depths were smaller with a stiffer cornea.CONCLUSIONS: A kinematic viscoelastic model of the cornea is presented to illustrate how the vibrations are associated with factors such as corneal mass, viscoelasticity, and IOP. Also, the predicted corneal vibrations during air puff deformation were confirmed by clinical observation.[J Refract Surg. 2014;30(3):208-213.]

Gallbladder cancer (GBC) is the most common malignancy of the biliary tract, with extremely dismal prognosis. Limited therapeutic options are available for GBC patients. We used whole-exome sequencing of human GBC to identify the ErbB and epigenetic pathways as two vulnerabilities in GBC. We screened two focused small-molecule libraries that target these two pathways using GBC cell lines and identified the mTOR inhibitor INK-128 and the histone deacetylase (HDAC) inhibitor JNJ-26481585 as compounds that inhibited proliferation at low concentrations. Both significantly suppressed tumor growth and metastases in mouse models. Both synergized with the standard of care chemotherapeutic agent gemcitabine in cell lines and in mouse models. Furthermore, the activation of the mTOR pathway, measured by immunostaining for phosphorylated mTOR and downstream effector S6K1, is correlated with poor prognosis in GBC. Phosphorylated mTOR or p-S6K1 in clinical samples is an independent indicator for overall survival in GBC patients. Taken together, our findings suggest that mTOR inhibitors and HDAC inhibitors can serve as potential therapeutics for GBC, and the phosphorylation of mTOR and S6K1 may serve as biomarkers for GBC.

CH was relatively constant for lower values of IOP and showed a decreasing relationship at higher values of IOP. This nonlinear relationship provides insight into understanding the viscoelastic nature of CH over a wider range of IOP values. The experimental data on porcine eyes may indicate that IOP should be taken into account when analyzing the deformation response of the cornea to an applied air puff.

Background Aortic dissection (AD) is one of the most catastrophic aortic diseases associated with a high mortality rate. In contrast to the advances in most cardiovascular diseases, both the incidence and in-hospital mortality rate of AD have experienced deviant increases over the past 20 years, highlighting the need for fresh prospects on the prescreening and in-hospital treatment strategies. Methods Through two cross-sectional studies, we adopt image recognition techniques to identify pre-disease aortic morphology for prior diagnoses; assuming that AD has occurred, we employ functional data analysis to determine the optimal timing for BP and HR interventions to offer the highest possible survival rate. Results Compared with the healthy control group, the aortic centerline is significantly more slumped for the AD group. Further, controlling patients’ blood pressure and heart rate according to the likelihood of adverse events can offer the highest possible survival probability. Conclusions The degree of slumpness is introduced to depict aortic morphological changes comprehensively. The morphology-based prediction model is associated with an improvement in the predictive accuracy of the prescreening of AD. The dynamic model reveals that blood pressure and heart rate variations have a strong predictive power for adverse events, confirming this model’s ability to improve AD management.