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1.  Current neuroimaging techniques in Alzheimer's disease and applications in animal models 
With Alzheimer’s disease (AD) quickly becoming the most costly disease to society, and with no disease-modifying treatment currently, prevention and early detection have become key points in AD research. Important features within this research focus on understanding disease pathology, as well as finding biomarkers that can act as early indicators and trackers of disease progression or potential treatment. With the advances in neuroimaging technology and the development of new imaging techniques, the search for cheap, noninvasive, sensitive biomarkers becomes more accessible. Modern neuroimaging techniques are able to cover most aspects of disease pathology, including visualization of senile plaques and neurofibrillary tangles, cortical atrophy, neuronal loss, vascular damage, and changes in brain biochemistry. These methods can provide complementary information, resulting in an overall picture of AD. Additionally, applying neuroimaging to animal models of AD could bring about greater understanding in disease etiology and experimental treatments whilst remaining in vivo. In this review, we present the current neuroimaging techniques used in AD research in both their human and animal applications, and discuss how this fits in to the overall goal of understanding AD.
PMCID: PMC3477739  PMID: 23133824
Alzheimer’s disease; animal models; ASL; biomarkers; MRI; MRS; neuroimaging; PET
2.  Laparoscopic Gastrojejunostomy for the Treatment of Gastric Outlet Obstruction 
These authors found that laparoscopic gastrojejunostomy for the management of gastric outlet obstruction can be performed with good outcomes and acceptable complication rates.
Background and Objectives:
Laparoscopic gastrojejunostomy (LGJ) has been proposed as the technique preferred over open gastrojejunostomy for relieving gastric outlet obstruction (GOO) due to malignant and benign disease. This study investigates the feasibility and safety of LGJ for GOO.
Methods:
A retrospective review was performed of patients who underwent LGJ at Mount Sinai Medical Center from 2004 to 2008. Patient's operative course and long-term outcomes were collected.
Results:
Twenty-eight patients were reviewed (16 had malignancy, 7 had PUD, 3 had Crohn's disease, and one had obstruction of unclear cause). Average operative time was 170 minutes, and estimated blood loss was 80cc. One case was converted to open; another had stapler misfiring. Patients regained bowel function at a median of 3 days and remained in the hospital for a median of 8 days. There were 4 major postoperative complications (14%): 1 anastomotic leak and 1 trocar-site hemorrhage requiring reoperation and 2 gastrointestinal bleeds requiring endoscopic intervention. There were 5 minor complications (18%), including a partial small bowel obstruction, 1 patient developed bacteremia, and 3 patients had delayed gastric emptying. One patient had persistent GOO requiring reoperation 3 months later.
Conclusion:
LGJ can be performed for GOO with improved outcome and an acceptable complication rate compared to the open GJ reported in the literature.
doi:10.4293/108680811X13022985132074
PMCID: PMC3148865  PMID: 21902969
Gastrojejunostomy; Laparoscopic gastrojejunostomy; Gastric outlet obstruction; Peptic ulcer disease
3.  Integrated Modeling Program, Applied Chemical Theory (IMPACT) 
Journal of computational chemistry  2005;26(16):1752-1780.
We provide an overview of the IMPACT molecular mechanics program with an emphasis on recent developments and a description of its current functionality. With respect to core molecular mechanics technologies we include a status report for the fixed charge and polarizable force fields that can be used with the program and illustrate how the force fields, when used together with new atom typing and parameter assignment modules, have greatly expanded the coverage of organic compounds and medicinally relevant ligands. As we discuss in this review, explicit solvent simulations have been used to guide our design of implicit solvent models based on the generalized Born framework and a novel nonpolar estimator that have recently been incorporated into the program. With IMPACT it is possible to use several different advanced conformational sampling algorithms based on combining features of molecular dynamics and Monte Carlo simulations. The program includes two specialized molecular mechanics modules: Glide, a high-throughput docking program, and QSite, a mixed quantum mechanics/molecular mechanics module. These modules employ the IMPACT infrastructure as a starting point for the construction of the protein model and assignment of molecular mechanics parameters, but have then been developed to meet specialized objectives with respect to sampling and the energy function.
doi:10.1002/jcc.20292
PMCID: PMC2742605  PMID: 16211539
IMPACT; Monte Carlo simulation; QM/MM applications

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