London: Finding
out what drugs can be used to treat a patient with tuberculosis (TB)
can be sped up by days or weeks, thanks to a new free online tool. The TB-Profiler tool, developed by a team of scientists led by Dr Taane Clark
at the London School of Hygiene & Tropical Medicine, analyses and
interprets genome sequence data to predict resistance to 11 drugs used
for the treatment of TB. This rapid tool only takes a few minutes and means that sequence data
can now be used without delay. Importantly, it also removes dependence
on specialised bioinformatics skills that are not readily available in
clinical settings. Data on how the tool works is published in open
access journal Genome Medicine.
Speeding up the process to find appropriate drugs when treating a
patient with drug-resistant TB improves the likelihood of cure. By
enabling the optimum course of treatment to be selected without delay,
toxic drugs found to be ineffective because of resistance can be
disregarded, relieving patients of damaging, unpleasant, and often
long-lasting side effects.
Researchers say the TB-Profiler tool will aid control of drug
resistant TB, the emergence of which currently threatens to derail
global efforts to control the disease. The World Health Organisation
estimates that 5% of the world’s 11 million TB cases have multi
drug-resistance disease (MDR-TB), with approximately 480,000 new MDR-TB
cases and 210,000 deaths in 2013.
The TB-Profiler was developed using global data and refers to a library of 1,325 mutations to M. tuberculosis (the bacteria that causes TB), making the tool the most comprehensive and accurate data source to date.
Dr Taane Clark, Reader in Genetic Epidemiology and Statistical
Genomics, said: “Sequencing already assists patient management for a
number of conditions such as HIV, but now that it is possible to
sequence M. tuberculosis from sputum from suspected multi-drug
resistance patients it means it has a role in the management of
tuberculosis. We have developed a prototype to guide treatment of
patients with drug resistant disease, where personalised medicine and
treatment offers improved rates of cure.”
Traditional lab-based methods of determining resistance involve
growing the bacteria to see if it survives the drug, a process that can
take weeks and sometimes months, and requires stringent safety measures
to protect the laboratory personnel.
The researchers highlight that their research demonstrates the
potential of whole genome sequencing to increase the accuracy of
molecular tests for resistance, with improved sensitivity and
specificity. The tool also provides data on the genotype of the bacteria
which can be used in epidemiological studies and by public health
experts to track chains of disease transmission.
Co-author Dr Ruth McNerney of TB Alert added:“This is a welcome step
forward in our battle against drug resistance. It is now time to take
sequencing out of the research lab and into the clinic. Patients with
drug resistant disease have to endure many months of treatment with
toxic drugs with no guarantee of success. Personalised treatment will
increase their chances of survival while minimising the horrible side
effects.”
- See more at:
http://www.lshtm.ac.uk/newsevents/news/2015/new_online_tool_to_predict_genetic_resistance_to_tb_drugs.html#sthash.Q989aKO8.dpuf