Tuberculosis (TB) is the world’s most lethal infectious disease with around 1.6 million people dying from it each year. It is caused by isolates of Mycobacterium tuberculosis complex (MTBC) which most often develop within the lungs, but it can affect any part of the body.
In 2019, about 1/4 of the world’s population has latent TB and an estimated 10 million people developed the disease worldwide.
Treatment of active tuberculosis involves the uptake of antibiotics combination for several months. This therapy will be effective only if the MTBC strains infecting the patient haven’t developed a resistance to the drugs constituting the patient’s regimen.
Drug resistance mainly emerges when anti-TB drugs are used inappropriately, such as prescription issues or inadequate length of treatment.
The World Health Organization (WHO) estimated that about 400,000 new cases of multidrug-resistant TB appeared in 2018 (MDR-TB, resistance to both rifampicin and isoniazid), of which ~6% were extensive drug resistant TB (XDR-TB, additional resistance to at least one fluoroquinolone and one second-line injectable drug).
To treat patients effectively and limit further emergence of TB drug resistance, rapid and precise resistance diagnosis is crucial.
Deeplex® Myc-TB, developed by GenoScreen is an innovative and integrated culture-free solution, which can provide a diagnosis on a strain’s resistance to 15 anti-TB drugs in less than two days. The assay is based on targeted deep sequencing and automated data analysis via the Deeplex® Myc-TB secure web application.
Deeplex® Myc-TB detects the TB heteroresistance down to 3%, and also identifies Non-Tuberculous Mycobacteria (NTM) as well as TB lineages and spoligotypes.
This innovative test guides the therapeutic management of TB patients in an effective way, by giving a rapid and extensive prediction of genetic resistance to anti-TB drugs.
Anti-TB drugs screened
from clinical samples to results
heteroresistance detection sensitivity
mycobacterial species detectable
countries have implemented this solution
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