Predictive Modeling to Study the Treatment-Shortening Potential of Novel Tuberculosis Drug Regimens, Toward Bundling of Preclinical Data.
Predictive Modeling to Study the Treatment-Shortening Potential of Novel Tuberculosis Drug Regimens, Toward Bundling of Preclinical Data.
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DOI:
10.1093/infdis/jiab101
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发表时间:
2022-06-01
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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. Mycobacterium tuberculosis–infected mice were treated for up to 13 weeks with bedaquiline and pretomanid combined with moxifloxacin and pyrazinamide (BPaMZ) or linezolid (BPaL). Cure rates were evaluated 12 weeks after treatment completion. The standard regimen of isoniazid, rifampicin, pyrazinamide, and ethambutol (HRZE) was evaluated as a comparator. Six weeks of BPaMZ was sufficient to achieve cure in all mice. In contrast, 13 weeks of BPaL and 24 weeks of HRZE did not achieve 100% cure rates. Based on mathematical model predictions, 95% probability of cure was predicted to occur at 1.6, 4.3, and 7.9 months for BPaMZ, BPaL, and HRZE, respectively. This study provides additional evidence for the treatment-shortening capacity of BPaMZ over BPaL and HRZE. To optimally use preclinical data for predicting clinical outcomes, and to overcome the limitations that hamper such extrapolation, we advocate bundling of available published preclinical data into mathematical models. By combining the evaluation of treatment efficacy of anti-tuberculosis drug regimens in a mouse tuberculosis infection model with mathematical modeling, it was found that BPaMZ had a higher treatment-shortening potential than BPaL, compared to the standard HRZE regimen.
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影响因子:
5.3
作者:
Irwin SM;Prideaux B;Lyon ER;Zimmerman MD;Brooks EJ;Schrupp CA;Chen C;Reichlen MJ;Asay BC;Voskuil MI;Nuermberger EL;Andries K;Lyons MA;Dartois V;Lenaerts AJ
通讯作者:
Lenaerts AJ
影响因子:
15.8
作者:
Matsumoto, Makoto;Hashizume, Hiroyuki;Tomishige, Tatsuo;Kawasaki, Masanori;Tsubouchi, Hidetsugu;Sasaki, Hirofumi;Shimokawa, Yoshihiko;Komatsu, Makoto
通讯作者:
Komatsu, Makoto
影响因子:
30.8
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Merker, Matthias;Blin, Camille;Wirth, Thierrv
通讯作者:
Wirth, Thierrv
影响因子:
3.7
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Lakshminarayana SB;Boshoff HI;Cherian J;Ravindran S;Goh A;Jiricek J;Nanjundappa M;Nayyar A;Gurumurthy M;Singh R;Dick T;Blasco F;Barry CE 3rd;Ho PC;Manjunatha UH
通讯作者:
Manjunatha UH
影响因子:
158.5
作者:
Conradie, Francesca;Diacon, Andreas H.;Spigelman, Melvin
通讯作者:
Spigelman, Melvin