Free Online Tool Predict Genetic Resistance To Tuberculosis Drugs

Online Tool Predict Genetic Resistance To Tuberculosis Drugs
Finding out what drugs can be used to treat a patient with tuberculosis (TB) can be can sped up by days or weeks, thanks to a new free online tool.
The new TB-Profiler tool 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 the 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 - available at - 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 arising in 2013 and 210,000 deaths.
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. 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 new tool is a welcome step forward in the battle against drug resistance. 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.
Based on material originally posted by London School of Hygiene & Tropical Medicine.