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

Access Paper

DOI: 10.1093/infdis/jiab101

PMID: 33606880

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