PharmaTell seminars Event as iCalendar

18 November 2013

12 - 1pm

Venue: Room 505-364, Building 505, 85 Park Road, Grafton

Predicting response to clozapine prior to treatment initiation in people with treatment-resistant schizophrenia

Clozapine is an antipsychotic drug prescribed for the treatment of schizophrenia in patients who have failed first-line therapy. The drug is effective in 30%-60% of patients but there is no current method for predicting who will respond well. Using personalised computer modelling and neural networks, I plan to design a predictive model of clozapine response for use in treatment-resistant clozapine-naïve patients. The model will incorporate magnetic resonance imaging (MRI), functional MRI, diffusion-weighted imaging (DWI), electroencephalography (EEG) and behavioural and genetic markers from a cohort of people with treatment-resistant schizophrenia that have already responded to or failed treatment with clozapine. Research methods and some preliminary results will be discussed.

Presented by: Carolyn McNabb

Targeting cholinergic dysfunction in Huntington’s disease

Huntington’s  Disease  (HD)  is  a  fatal,  inherited  neurodegenerative disorder affecting 1:10,000 people in New Zealand. HD results in the permanent loss of neurons in the cortex and striatum leading to profound neurological deficits and functional impairment.  At present there is no clinical treatment to prevent or reduce the onset or progression of HD. Studies on post-mortem humans and genetic mouse models show a significant loss of acetylcholine and choline acetyltransferase in the HD brain, which suggests that cholinergic dysfunction may play a significant contributing factor in the pathogenesis of HD.

My PhD project investigates whether direct activation of nicotinic acetylcholine receptors can reduce symptoms and pathological changes in a transgenic mouse model of Huntington’s disease.

This presentation will cover my methodology and research findings to date.

Presented by: Gary D’Souza

For more information please contact: Administration Email: Phone Number: +64-9-373 7599 ext 82851