Ying Hsu
University of Illinois at Chicago
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Featured researches published by Ying Hsu.
Anesthesia & Analgesia | 2012
Ying Hsu; H.D. Madhawa Hettiarachchi; David C. Zhu; Andreas A. Linninger
BACKGROUND:Intrathecal drug delivery is an efficient method to administer therapeutic molecules to the central nervous system. However, even with identical drug dosage and administration mode, the extent of drug distribution in vivo is highly variable and difficult to control. Different cerebrospinal fluid (CSF) pulsatility from patient to patient may lead to different drug distribution. Medical image–based computational fluid dynamics (miCFD) is used to construct a patient-specific model to quantify drug transport as a function of a spectrum of physiological CSF pulsations. METHODS:Magnetic resonance imaging (MRI) and CINE MRI were performed to capture the patients central nervous system anatomy and CSF pulsatile flow velocities. An miCFD model was reconstructed from these MRIs and the patients CSF flow velocities were computed. The effect of CSF pulsatility (frequency and stroke volume) was investigated for a bolus injection of a model drug at the L2 vertebral level. Drug distribution profiles along the entire spine were computed for different heart rates: 43, 60, and 120 bpm, and varied CSF stroke volumes: 1, 2, and 3 mL. To assess toxicity risk for patients with different physiological variables, therapeutic and toxic concentration thresholds for a common anesthetic were derived from experimental studies. Toxicity risk analysis was performed for an injection of a spinal anesthetic for patients with different heart rates and CSF stroke volumes. RESULTS:Both heart rate and CSF stroke volume of the patient strongly influence drug distribution administered intrathecally. Doubling the heart rate (from 60 to 120 bpm) caused a 26.4% decrease in peak concentration in CSF after injection. Doubling the CSF stroke volume diminished the peak concentration after injection by 38.1%. Computations show that potentially toxic peak concentrations due to injection can be avoided by changing the infusion rate. Using slower infusion rates could avoid high peak concentrations in CSF while maintaining drug concentrations above the therapeutic threshold. CONCLUSIONS:Our computations identify key variables for patient to patient variability in drug distribution in the spine observed clinically. The speed of drug transport is strongly affected by the frequency and magnitude of CSF pulsations. Toxicity risks associated with an injection can be reduced for a particular patient by adjusting the infusion variables with our rigorous miCFD model.
Annals of Biomedical Engineering | 2011
H. D. M. Hettiarachchi; Ying Hsu; Timothy J. Harris; Andreas A. Linninger
Clinical studies have shown that drugs delivered intrathecally distribute much faster than can be accounted for by pure molecular diffusion. However, drug transport inside the cerebrospinal fluid (CSF)-filled spinal canal is poorly understood. In this study, comprehensive experimental and computational studies were conducted to quantify the effect of pulsatile CSF flow on the accelerated drug dispersion in the spinal canal. Infusion tests with a radionucleotide and fluorescent dye under stagnant and pulsatile flow conditions were conducted inside an experimental surrogate model of the human spinal canal. The tracer distributions were quantified optically and by single photon emission computed tomography (SPECT). The experimental results show that CSF flow oscillations substantially enhance fluorescent dye and radionucleotide dispersion in the spinal canal experiment. The experimental observations were interpreted by rigorous computer simulations. To demonstrate the clinical significance, the dispersion of intrathecally infused baclofen, an anti-spasticity drug, was predicted by using patient-specific spinal data and CSF flow measurements. The computational predictions are expected to enable the rational design of intrathecal drug therapies.
Journal of Biomechanics | 2015
Kevin Tangen; Ying Hsu; David C. Zhu; Andreas A. Linninger
Spinal microstructures are known to substantially affect cerebrospinal fluid patterns, yet their actual impact on flow resistance has not been quantified. Because the length scale of microanatomical aspects is below medical image resolution, their effect on flow is difficult to observe experimentally. Using a computational fluid mechanics approach, we were able to quantify the contribution of micro-anatomical aspects on cerebrospinal fluid (CSF) flow patterns and flow resistance within the entire central nervous system (CNS). Cranial and spinal CSF filled compartments were reconstructed from human imaging data; microscopic trabeculae below the image detection threshold were added artificially. Nerve roots and trabeculae were found to induce regions of microcirculation, whose location, size and vorticity along the spine were characterized. Our CFD simulations based on volumetric flow rates acquired with Cine Phase Contrast MRI in a normal human subject suggest a 2-2.5 fold increase in pressure drop mainly due to arachnoid trabeculae. The timing and phase lag of the CSF pressure and velocity waves along the spinal canal were also computed, and a complete spatio-temporal map encoding CSF volumetric flow rates and pressure was created. Micro-anatomy induced fluid patterns were found responsible for the rapid caudo-cranial spread of an intrathecally administered drug. The speed of rostral drug dispersion is drastically accelerated through pulsatile flow around microanatomy induced vortices. Exploring massive parallelization on a supercomputer, the feasibility of computational drug transport studies was demonstrated. CNS-wide simulations of intrathecal drugs administration can become a practical tool for in silico design, interspecies scaling and optimization of experimental drug trials.
Croatian Medical Journal | 2015
Ying Hsu; Minh Tran; Andreas A. Linninger
Aquaporin-4 water channels play a central role in brain water regulation in neurological disorders. Aquaporin-4 is abundantly expressed at the astroglial endfeet facing the cerebral vasculature and the pial membrane, and both its expression level and subcellular localization significantly influence brain water transport. However, measurements of aquaporin-4 levels in animal models of brain injury often report opposite trends of change at the injury core and the penumbra. Furthermore, aquaporin-4 channels play a beneficial role in brain water clearance in vasogenic edema, but a detrimental role in cytotoxic edema and exacerbate cell swelling. In light of current evidence, we still do not have a complete understanding of the role of aquaporin-4 in brain water transport. In this review, we propose that the regulatory mechanisms of aquaporin-4 at the transcriptional, translational, and post-translational levels jointly regulate water permeability in the short and long time scale after injury. Furthermore, in order to understand why aquaporin-4 channels play opposing roles in cytotoxic and vasogenic edema, we discuss experimental evidence on the dynamically changing osmotic gradients between blood, extracellular space, and the cytosol during the formation of cytotoxic and vasogenic edema. We conclude with an emerging picture of the distinct osmotic environments in cytotoxic and vasogenic edema, and propose that the directions of aquaporin-4-mediated water clearance in these two types of edema are distinct. The difference in water clearance pathways may provide an explanation for the conflicting observations of the roles of aquaporin-4 in edema resolution.
Neurosurgical Focus | 2016
Bhargav Desai; Ying Hsu; Benjamin Schneller; Jonathan G. Hobbs; Ankit I. Mehta; Andreas A. Linninger
Aquaporin-4 (AQP4) channels play an important role in brain water homeostasis. Water transport across plasma membranes has a critical role in brain water exchange of the normal and the diseased brain. AQP4 channels are implicated in the pathophysiology of hydrocephalus, a disease of water imbalance that leads to CSF accumulation in the ventricular system. Many molecular aspects of fluid exchange during hydrocephalus have yet to be firmly elucidated, but review of the literature suggests that modulation of AQP4 channel activity is a potentially attractive future pharmaceutical therapy. Drug therapy targeting AQP channels may enable control over water exchange to remove excess CSF through a molecular intervention instead of by mechanical shunting. This article is a review of a vast body of literature on the current understanding of AQP4 channels in relation to hydrocephalus, details regarding molecular aspects of AQP4 channels, possible drug development strategies, and limitations. Advances in medical imaging and computational modeling of CSF dynamics in the setting of hydrocephalus are summarized. Algorithmic developments in computational modeling continue to deepen the understanding of the hydrocephalus disease process and display promising potential benefit as a tool for physicians to evaluate patients with hydrocephalus.
IEEE Transactions on Biomedical Engineering | 2013
Ying Hsu; Andreas A. Linninger
The central nervous system (CNS) is the most difficult target for drug delivery therapies. Despite datasets available describing physiological, biochemical, cellular, and metabolic properties of the CNS, the development of infusion therapies still faces major delivery challenges. There is a need for the integration of data obtained from different experimental modalities to design molecular therapies. In this paper, we propose a novel mathematical method for the integration of datasets to generate useful dosing criteria for infusion therapies. A case study is used to demonstrate the design of gene silencing therapies to down regulate NMDA receptors in the spinal cord for chronic pain management. Based on experimentally derived kinetics for short interfering RNA (siRNA) and magnetic resonance images, the biodistribution and pharmacokinetics of siRNAs were predicted for different infusion modes. This adaptable, multiscale computational platform enables the prediction of dose-response on an organ-wide level. The quantitative integration of valuable datasets with engineering precision is expected to accelerate the clinical implementation of novel therapeutics.
IEEE Transactions on Biomedical Engineering | 2015
Sukhraaj Basati; Kevin Tangen; Ying Hsu; Hanna Lin; David M. Frim; Andreas A. Linninger
Extracranial cerebrospinal fluid (CSF) shunt obstruction is one of the most important problems in hydrocephalus patient management. Despite ongoing research into better shunt design, robust and reliable detection of shunt malfunction remains elusive. The authors present a novel method of correlating degree of tissue ingrowth into ventricular CSF drainage catheters with internal electrical impedance. The impedance based sensor is able to continuously monitor shunt patency using intraluminal electrodes. Prototype obstruction sensors were fabricated for in-vitro analysis of cellular ingrowth into a shunt under static and dynamic flow conditions. Primary astrocyte cell lines and C6 glioma cells were allowed to proliferate up to 7 days within a shunt catheter and the impedance waveform was observed. During cell ingrowth a significant change in the peak-to-peak voltage signal as well as the root-mean-square voltage level was observed, allowing the impedance sensor to potentially anticipate shunt malfunction long before it affects fluid drainage. Finite element modeling was employed to demonstrate that the electrical signal used to monitor tissue ingrowth is contained inside the catheter lumen and does not endanger tissue surrounding the shunt. These results may herald the development of “next generation” shunt technology that allows prediction of malfunction before it affects patient outcome.
Computer-aided chemical engineering | 2012
Ying Hsu; Ashty Karim; Andreas A. Linninger
Abstract Gene silencing therapies have succeeded in controlling expression levels of a desired gene in animal models. By infusing short-interfering RNAs (siRNA), these molecules target particular messenger RNA (mRNA) in the cells through sequence-specific binding, suppressing the translation for the target protein. These therapies hold great promise for treating numerous disorders of the central nervous system (CNS) including novel approaches to chronic pain management. While novel siRNA targets are being discovered rapidly, difficulties in siRNA delivery such as anatomical accessibility of the target tissue, slow diffusion and non-specific uptake make achieving a precise degree of protein downregulation nearly impossible. We propose to design optimal infusions integrating medical imaging with systems engineering principles. A novel pain management therapy is designed to suppress the expression of pain-transducing NMDA receptors in the subjects spinal cord. The coupling of biotransport equations with intracellular siRNA kinetics enables the design of siRNA gene silencing therapies. The accurate prediction of dose–response and the computation of optimal infusions are expected to accelerate clinical implementations of gene silencing therapies.
Annals of Biomedical Engineering | 2011
H. D. M. Hettiarachchi; Ying Hsu; Timothy J. Harris; Richard Penn; Andreas A. Linninger
Address correspondence to Andreas A. Linninger, Laboratory for Product and Process Design (LPPD), Department of Bioengineering, University of Illinois at Chicago, 851 S. Morgan Street, Chicago, IL 60607, USA. Electronic mail: [email protected] The online version of the original article can be found under doi: 10.1007/s10439-011-0346-x. Annals of Biomedical Engineering, Vol. 39, No. 10, October 2011 ( 2011) p. 2603 DOI: 10.1007/s10439-011-0376-4
Computer-aided chemical engineering | 2011
Ying Hsu; Timothy J. Harris; H. D. M. Hettiarachchi; Richard D. Penn; Andreas A. Linninger