Development of Biomarkers for Improved Diagnosis of Active Tuberculosis
Poster Sep 14, 2007
Sybille Hunt, Amirkhani A, Cole R, Harcourt R,Hsu M , Marlborough D, Pedersen S, Qiu J, Ranaweera S, Remediakis C, Richards E, SeroaL, Sharp-Paul I, Sloane A, Vizgoft J, Harry J, Lindner R.
The World Health Organisation (WHO) has declared the TB pandemic a global emergency with estimates that between 2000 and 2020, nearly one billion people will be newly infected, 200 million people will get sick, and 35 million will die from the disease. In the majority of the world, diagnosis of TB still relies on an insensitive 100-year-old technique of smear microscopy which ranges in sensitivity from 20-60% depending on the field and patient conditions. Development of a TB-antigen based test would result in improved diagnosis of TB.
Proteome Systems has taken a new approach to this problem by targeting human and TB proteins present in the body fluids of people infected with TB. Using novel proteomic technologies. Proteome Systems has identified TB proteins in sputa and blood of people diagnosed with TB. Several of these proteins have been prioritised for ongoing validation. This involves generation of sensitive antibodies and optimisation of assays for detection of TB antigens in clinical samples. This presentation will discuss our progress in this program and our strategy for incorporation of these markers into a diagnostic test format to facilitate improved diagnosis of this disease.
Sport Doping Screening in Biological Matrices by Multi-Dimensional LC-QToFPoster
This work evaluated the performance of 2D LC variant using a QToF setup instead of a triple quadrupole mass spectrometer for the analysis of drug of abuse in urine targeting low and sub ppb level.READ MORE
Internet-Based Biomarker Collection Feasibility: Experiences of a Tobacco Cessation Program for People Living with HIVPoster
This project introduces video-conferencing as a method for biomarker collection in research and will explain how biomarker collection via video-conferencing was implemented in a pilot ehealth intervention.READ MORE
IntelliXtract 2.0: Simplified Intelligent Component Extraction and DetectionPoster
*Simplified detection and Component Extraction algorithm from LC-MS and GC-MS datasets
*New improved algorithm based on ion threads
*Reduced number of parameters to select for analysis
*Reduced false positives leading to reduced analysis time