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Biomedical subjects

C S Tseng

Publications and source records attributed to C S Tseng.

12 recordsLinked to original sources

Refolding and characterization of a yeast dehydrodolichyl diphosphate synthase overexpressed in Escherichia coli.

Dehydrodolichyl diphosphate synthase (DDPPs) catalyzes the sequential condensation of isopentenyl diphosphate with farnesyl diphosphate to synthesize long-chain dehydrodolichyl diphosphate, which serves as a precursor of glycosyl carrier in glycoprotein biosynthesis in eukaryotes. To perform kinetic and structural studies of DDPPs, we have expressed yeast DDPPs using Escherichia coli as the host cell. Thioredoxin and His tag were utilized to increase the solubility of the recombinant protein and facilitate its purification using Ni-nitrilotriacetic acid (NTA) column. The protein was overexpressed in E. coli but mostly existed in pellet in the absence of detergent. The low quantity of soluble DDPPs was purified using Ni-NTA, Mono Q anion-exchange, and size-column chromatographies. The protein in the pellet was solubilized with 7 M urea and purified using Ni-NTA under denaturing condition. The protein refolding was achieved via the stepwise dialysis to remove the denaturant in the presence of 6 mM beta-mercaptoethanol. Detergent n-octyl-beta-d-glucopyranoside and Triton X-100 increased the solubility of the DDPPs so that refolding can be performed at higher protein concentration. Alternatively, on-column refolding was carried out in a single step to obtain the active protein in large quantities. beta-Mercaptoethanol and Triton were both required in this quick refolding process. The kinetic studies indicated that the soluble and refolded DDPPs have comparable activities (k(cat) = 2 x 10(-4) s(-1)). Unlike its bacterial homologue, undecaprenyl diphosphate synthase, yeast DDPPs activity was not enhanced by Triton.

Alkyl and Aryl Transferases↗

Development of a robotic navigation system for neurosurgery.

This paper presents a robotic navigation system for image-guided neurosurgery, which can be applied to the treatment of Parkinson's disease and biopsy of brain tumor. The system integrates a computer for real-time display of brain anatomy, a magnetic tracking device for measuring the positions and orientations of surgical instruments, and a robot manipulator for guiding surgical instruments to the preplanned positions and orientations. The computer display of brain anatomy offers a convenient tool for surgeons to diagnose brain disease and to plan safe surgical paths; while the tracking device assists the robot manipulator to automatically guide surgical instruments to the preplanned direction. The registrations among the tracking device, the image system, and the robot are completed on the base of coordination mappings of external markers. An experiment of using a skull model for simulating a robotic biopsy of brain tumor has been done to verify the performance of the navigation system. The result shows that the system can accomplish a positioning accuracy around 2 mm.

Biopsy↗

A PC-based surgical simulator for laparoscopic surgery.

Surgical simulators for minimally invasive surgery have been developing in the 1990s. Most of them use high-end UNIX workstations for real-time simulation of complex human organ models. Only few of them have input devices with force feedback. Recently, personal computer technologies have made real-time display of relatively complex models feasible. We are developing an Intel-based laparoscopic surgical simulator that provides near real-time intuitive interaction between the trainee and simulated models of human organs. The surgical simulator has a prototypical scenario of cholecystectomic surgery. It can interactively simulate the deformation and cutting of cystic duct and vein. In addition, a set of input devices with force feedback has been designed and tested to imitate the manipulation of surgical instruments. The input device has five degrees of freedom and three of them are driven by DC motors to produce force feedback.

Cholecystectomy↗

Succinylcholine-induced cardiac arrest in unsuspected becker muscular dystrophy--a case report.

A five year-old boy undergoing elective tonsillectomy sustained cardiac arrest following the administration of a single dose of succinylcholine during induction of anesthesia. With a 10-minute cardiopulmonary resuscitation (CPR) during which intravenous calcium gluconate, epinephrine, and sodium bicarbonate were given and DC counter shock applied, we were successful to restore cardiac activity without neurological sequelae. The cause of cardiac arrest we speculated was hyperkalemia, possibly secondary to succinylcholine-induced rhabdomyolysis. It is suggested that succinylcholine should not be used in patients with known or suspected muscular dystrophy.

Child, Preschool↗

Unilateral pulmonary edema during general anesthesia--report of two cases.

Unilateral presentation of pulmonary edema, though well known to occur, is an uncommon entity. Previous reviews of this subject have discussed the different etiologies, which include rapid reexpansion of collapsed lung, down lung syndrome (gravitational edema), systemic-to-pulmonary arterial shunts, heart failure, compression or occlusion of pulmonary vasculatures, obstruction of a bronchus and an acute manifestation of neuropulmonary reaction (neurogenic pulmonary edema). Occurrence of this complication during surgery, however, is even rarer. We report 2 cases of unilateral pulmonary edema occurring during general anesthesia for elective surgery.

Adult↗

Post-remission intensive consolidation with high-dose cytarabine-based chemotherapy and granulocyte colony-stimulatory factor in adults with acute myelogenous leukemia: a preliminary report.

BACKGROUND: Modern induction chemotherapy produce 60% to 80% complete remission in adults with newly diagnosed acute myelogenous leukemia (AML). A major challenge is to eradicate subclinical disease in remission and prevent leukemic relapse. Intensive post-remission chemotherapy was proved of comparable disease-free survival as BMT. METHODS: From February 1992 to to March 1995, twelve patients with AML, aged 15 to 57 y/o, received intensive consolidation chemotherapy immediately after the first complete remission. The chemotherapy included either 4 courses of high dose Arac (HiDAC), 3 gm/m2 q12h x3 days, or 2 courses of HiDAC (4 days) plus mitoxantrone for 3 days and etoposide for 7 days (HiDAC-3-7). Granulocyte colony-stimulating factor (G-CSF) used used 24 hours after chemotherapy until absolute neutrophile count greater than 500/mm3. RESULTS: Totally 24 courses of high dose chemotherapy were given. The median duration of severe neutropenia (absolute neutrophile count < or = 500/mm3) was 12 days, thrombocytopenia (< or = 50,000/mm3) 18 days, fever > or = 38 degrees C 6 days, and from severe neutropenia (absolute neutrophile count < or = 500/mm3) was 12 days, thrombocytopenia (< or = 50,000/mm3) 18 days, fever > or = 38 degrees C 6 days, and from severe neutropenia (< or = 500/mm3) to infection 4 days. Infection was the most frequent complication during HiDAC treatment. No toxic death was noted. After a median follow-up of 16 months, early relapse was noted in 3 patients (2, 4, and 5 months, respectively), and late relapse in two patients (11 and 20 months, respectively). Seven patients remained in complete remission status after a median follow-up of 14+ months (7+ to 37+ months). CONCLUSIONS: Intensive consolidation chemotherapy is well tolerable and may prolong remission duration when used in the early post-remission phase of AML.

Adolescent↗

Effects of opioid agonists and opioid antagonists in endotoxic shock in rats.

Endotoxic shock is presented with a complex pathophysiology and is associated with high mortality. Recently, it has been reported that endogenous opioids play an important role in endotoxic shock. Pressor effect of naloxone in shock may be mediated through antagonism of endogenous opioid inhibition of the sympatho-adrenal catecholaminergic system. In endotoxemic animal, circulating catecholamine levels were not elevated by naloxone. It is possible that naloxone acts upon opiate receptors to enhance catecholamine actions at the receptor level or post-receptor level. We investigated endotoxic shock using a rat model. The animals anesthetized with phenobarbital were infused with E. coli LPS for 30 minutes. They were divided into 5 groups. After an endotoxin i.v. infusion of 15 mg/kg (LD 60), a significant fall in mean arterial pressure (MAP), heart rate and pH occurred in all groups. Treatment with naloxone or buprenorphine or naloxone + epinephrine resulted in significant improvement in MAP, pH and base excess. Treatment with morphine resulted in a decrease in MAP and an increase in heart rate. The pressor response to epinephrine 10, 30, 60 microgram/kg i.v. caused an increase of 62%, 48% and 17% of control values respectively in endotoxic treated rats. The duration of the pressor response to epinephrine was significantly increased by naloxone, although no significant effects on survival were seen at 4 hours after the start of treatment. These findings suggest that the buprenorphine may prove to be an alternative to naloxone, the co-administration of naloxone and epinephrine may be of benefit in the management of septic shock.

Animals↗

Application of three-dimensional orthogonal neural network to craniomaxillary reconstruction.

The purpose of this investigation is to establish a practical method to predict and create surface a profile of bone defects by a well-trained 3-D orthogonal neural network. First, the coordinates of the skeletal positions around the boundary of bone defects are input into the 3-D orthogonal neural network to train it to learn the scattering characteristic. The 3-D orthogonal neural network avoids local minima and converges rapidly. After the neural network has been well trained, the mathematic model of the bone defect surface is generated, and the pixel positions are derived. Herein, to verify its performance the proposed method is applied on a patient with a craniofacial defect.

Humans↗

Application of orthogonal neural network to craniomaxillary reconstruction.

Traditionally, the orthopaedist, according to their past experience, reconstructs damaged area while the operation is in progress. This may prolong the operation and cause the wound to become infected. Most importantly it is difficult to precisely match the skeletal defect. A well-disciplined network of prediction re-fabricates the damaged area through automation. This research is based on the CT image file, which is the product of X-ray computed tomography (CT), and computes the skeletal positions around the damaged area through image processing and boundary detection. The skeletal positions are inputted into the orthogonal neural network and discipline the network so that it possesses the scattering characteristic of bone. The network then calculates skeletal positions in the damaged area and revises the former CT image file to rebuild a 3D model. Accordingly, in comparison with a manual sketch, the orthogonal neural network forecast is more geometrically precise. Moreover, the forecast satisfies the second order derivative, which is a continuous function, and the edge of the fabricated bone is therefore kept smoother.

Biomedical Engineering↗

A methodology for evaluation of boundary detection algorithms on breast ultrasound images.

Image segmentation is the partition of an image into a set of non-overlapping regions that comprise the entire image. The image is decomposed into meaningful parts, which are uniform with respect to certain characteristics, such as grey level or texture. This study presents a novel methodology to evaluate ultrasound image segmentation algorithms. The sonographic features can differentiate between various sized malignant and benign breast tumours. The clinical experiment can determine whether a tumour is benign or not, based on contour, shape, echogenicity and echo texture. Further study of the standardized sonographic features, especially the tumour contour and shape, will improve the positive predictive value and accuracy rate in breast tumour detection. The effectiveness of using this methodology is illustrated by evaluating image segmentation on breast ultrasound images. Via definite segmentation, the appreciated tumour shape and contour can be ascertained. Furthermore, this method can enhance the ability of ultrasound to distinguish between benign and malignant breast lesions.

Algorithms↗