Pediatric Mandibular Fracture Management: Intraoperative Thermoplastic Splint Fabrication and Circummandibular Wires, without Maxillomandibular Fixation.

Management of mandibular fractures often involves the use of maxillomandibular fixation (MMF) to attain immobility of the fractured segments. This can be used as a primary treatment modality or as an adjunct in fracture management. This technique, however, has its drawbacks due to the great burden of care imposed on patients.

3D spatially-adaptive canonical correlation analysis: Local and global methods.

Local spatially-adaptive canonical correlation analysis (local CCA) with spatial constraints has been introduced to fMRI multivariate analysis for improved modeling of activation patterns. However, current algorithms require complicated spatial constraints that have only been applied to 2D local neighborhoods because the computational time would be exponentially increased if the same method is applied to 3D spatial neighborhoods. In this study, an efficient and accurate line search sequential quadratic programming (SQP) algorithm has been developed to efficiently solve the 3D local CCA problem with spatial constraints.

Nonclinical pharmacology and toxicology of the first biosimilar insulin glargine drug product (BASAGLAR/ABASAGLAR) approved in the European Union.

Basaglar/Abasaglar (Lilly insulin glargine [LY IGlar]) is a long-acting human insulin analogue drug product granted marketing authorisation as a biosimilar to Lantus (Sanofi insulin glargine [SA IGlar]) by the European Medicines Agency. We assessed the similarity of LY IGlar to the reference drug product, European Union-sourced SA IGlar (EU-SA IGlar), using nonclinical in vitro and in vivo studies. No biologically relevant differences were observed for receptor binding affinity at either the insulin or insulin-like growth factor-1 (IGF-1) receptors, or in assays of functional or de novo lipogenic activity.

Chronic Toxicology Studies of Basal Insulin Peglispro in Rats and Dogs: A Novel, PEGylated Insulin Lispro Analog with a Prolonged Duration of Action.

Basal insulin peglispro (BIL) consists of insulin lispro with a 20-kDa polyethylene glycol (PEG) moiety covalently attached to lysine B28. Because chronic parenteral administration of PEGylated proteins to animals has sometimes resulted in PEG vacuolation of tissue macrophages, renal tubular cells, and choroid plexus ependymal cells, we investigated whether chronic subcutaneous (sc) injection of BIL in rats (52 weeks) and dogs (39 weeks) was associated with systemic toxicities or other changes, including vacuolation of tissue macrophages, renal tubular cells, and ependymal cells. Rats and dogs received daily sc injections of BIL (rats: 0.

A family of locally constrained CCA models for detecting activation patterns in fMRI.

Canonical correlation analysis (CCA) has been used in Functional Magnetic Resonance Imaging (fMRI) for improved detection of activation by incorporating time series from multiple voxels in a local neighborhood. To improve the specificity of local CCA methods, spatial constraints were previously proposed. In this study, constraints are generalized by introducing a family model of spatial constraints for CCA to further increase both sensitivity and specificity in fMRI activation detection.

An Investigative Study of Pancreatic Exocrine Biomarkers, Histology, and Histomorphometry in Male Zucker Diabetic Fatty (ZDF) Rats Given Dulaglutide by Subcutaneous Injection Twice Weekly for 13 Weeks.

Glucagon-like peptide-1 (GLP-1) receptor agonist therapy has been implicated as a possible risk factor for acute pancreatitis in patients with type 2 diabetes. Dulaglutide is a long-acting GLP-1 receptor agonist in development for treatment of type 2 diabetes. The effects of dulaglutide were evaluated in male Zucker diabetic fatty (ZDF) rats to examine whether dulaglutide may induce or modulate pancreatitis.

Effects of the GLP-1 Receptor Agonist Dulaglutide on the Structure of the Exocrine Pancreas of Cynomolgus Monkeys.

Clinical and nonclinical studies have implicated glucagon-like peptide-1 (GLP-1) receptor agonist therapy as a risk factor for acute pancreatitis in patients with type 2 diabetes. Therefore, it is critical to understand the effect that dulaglutide, an approved GLP-1 receptor agonist, has on the exocrine pancreas. Dulaglutide 8.

Chronic Toxicity and Carcinogenicity Studies of the Long-Acting GLP-1 Receptor Agonist Dulaglutide in Rodents.

The tumorigenic potential of dulaglutide was evaluated in rats and transgenic mice. Rats were injected sc twice weekly for 93 weeks with dulaglutide 0, 0.05, 0.

Effects of Dulaglutide on Thyroid C Cells and Serum Calcitonin in Male Monkeys.

Glucagon-like peptide-1 (GLP-1) receptor agonists, used for the treatment of type 2 diabetes, have caused hyperplasia/neoplasia of thyroid C cells in rodent carcinogenicity studies. Studies in monkeys have not identified an effect of GLP-1 receptor agonists on thyroid C cells; however, group sizes were small. Dulaglutide is a once-weekly, long-acting human GLP-1 receptor agonist recently approved in the United States and the European Union.

Unusual infections due to Listeria monocytogenes in the Southern California Desert.

Background: During the past 22 years, 14 patients have been hospitalized with infection due to Listeria monocytogenes at the Eisenhower Medical Center, a regional 300-bed hospital in the desert southwest of Southern California. A large number of patients are retired, elderly, and have underlying and often systemic disease.

Methods: Blood agar and routine media were inoculated with liquid from a sterile site such as blood, cerebrospinal fluid, or joint fluid and observed daily for growth.

A line integral reaction path approximation for large systems via nonlinear constrained optimization: application to alanine dipeptide and the beta hairpin of protein G.

A variation of the line integral method of Elber with self-avoiding walk has been implemented using a state of the art nonlinear constrained optimization procedure. The new implementation appears to be robust in finding approximate reaction paths for small and large systems. Exact transition states and intermediates for the resulting paths can easily be pinpointed with subsequent application of the conjugate peak refinement method [S.

Diagnosis and treatment of Candida vertebral osteomyelitis: clinical experience with a short course therapy of amphotericin B lipid complex.

Background: Musculoskeletal candidiasis occurs in some patients with candidemia resulting from organ infection, IV drug use, or indwelling central venous catheters. Diagnosis is often difficult because of vague symptomatology and a frequent afebrile course.

Case Description: Three patients with Candida vertebral osteomyelitis are presented.

Multiple cerebral abscesses because of Listeria monocytogenes: three case reports and a literature review of supratentorial listerial brain abscess(es).

Background: Central nervous system involvement often follows bacteremia because of Listeria monocytogenes. Meningitis is clinically the most common manifestation, while brain abscess occurs in about 1% of patients. Brain abscess is usually solitary but in recent years, probably in part because of the availability of computerized tomography and magnetic resonance imaging, several reports have described two or more separate supratentorial abscesses.

A physical approach to protein structure prediction.

We describe our global optimization method called Stochastic Perturbation with Soft Constraints (SPSC), which uses information from known proteins to predict secondary structure, but not in the tertiary structure predictions or in generating the terms of the physics-based energy function. Our approach is also characterized by the use of an all atom energy function that includes a novel hydrophobic solvation function derived from experiments that shows promising ability for energy discrimination against misfolded structures. We present the results obtained using our SPSC method and energy function for blind prediction in the 4th Critical Assessment of Techniques for Protein Structure Prediction competition, and show that our approach is more effective on targets for which less information from known proteins is available.