Predictive Modeling to Study the Treatment-Shortening Potential of Novel Tuberculosis Drug Regimens, Toward Bundling of Preclinical Data.

Journal:
The Journal of infectious diseases, Volume: 225, Issue: 11
Published:
June 1, 2022
PMID:
33606880
Authors:
Saskia E Mudde SE, Rami Ayoun Alsoud R, Aart van der Meijden A, Anna M Upton AM, Manisha U Lotlikar MU, Ulrika S H Simonsson USH, Hannelore I Bax HI, Jurriaan E M de Steenwinkel JEM
Abstract:

Given the persistently high global burden of tuberculosis, effective and shorter treatment options are needed. We explored the relationship between relapse and treatment length as well as interregimen differences for 2 novel antituberculosis drug regimens using a mouse model of tuberculosis infection and mathematical modeling.


Courtesy of the U.S. National Library of Medicine