Translational predictions of phase 2a first-in-patient efficacy studies for antituberculosis drugs.
Journal
The European respiratory journal
ISSN: 1399-3003
Titre abrégé: Eur Respir J
Pays: England
ID NLM: 8803460
Informations de publication
Date de publication:
08 2023
08 2023
Historique:
received:
25
01
2023
accepted:
02
06
2023
medline:
4
9
2023
pubmed:
16
6
2023
entrez:
15
6
2023
Statut:
epublish
Résumé
Phase 2a trials in tuberculosis typically use early bactericidal activity (EBA), the decline in sputum CFU over 14 days, as the primary end-point for testing the efficacy of drugs as monotherapy. However, the cost of phase 2a trials can range from USD 7 million to USD 19.6 million on average, while >30% of drugs fail to progress to phase 3. Better utilising pre-clinical data to predict and prioritise the most likely drugs to succeed will thus help to accelerate drug development and reduce costs. We aim to predict clinical EBA using pre-clinical First, mouse PK, PD and clinical PK models were compiled. Second, mouse PK-PD models were built to derive an exposure-response relationship. Third, translational prediction of clinical EBA studies was performed using mouse PK-PD relationships and informed by clinical PK models and species-specific protein binding. Presence or absence of clinical efficacy was accurately predicted from the mouse model. Predicted daily decreases of CFU in the first 2 days of treatment and between day 2 and day 14 were consistent with clinical observations. This platform provides an innovative solution to inform or even replace phase 2a EBA trials, to bridge the gap between mouse efficacy studies and phase 2b and phase 3 trials, and to substantially accelerate drug development.
Sections du résumé
BACKGROUND
Phase 2a trials in tuberculosis typically use early bactericidal activity (EBA), the decline in sputum CFU over 14 days, as the primary end-point for testing the efficacy of drugs as monotherapy. However, the cost of phase 2a trials can range from USD 7 million to USD 19.6 million on average, while >30% of drugs fail to progress to phase 3. Better utilising pre-clinical data to predict and prioritise the most likely drugs to succeed will thus help to accelerate drug development and reduce costs. We aim to predict clinical EBA using pre-clinical
METHODS AND FINDINGS
First, mouse PK, PD and clinical PK models were compiled. Second, mouse PK-PD models were built to derive an exposure-response relationship. Third, translational prediction of clinical EBA studies was performed using mouse PK-PD relationships and informed by clinical PK models and species-specific protein binding. Presence or absence of clinical efficacy was accurately predicted from the mouse model. Predicted daily decreases of CFU in the first 2 days of treatment and between day 2 and day 14 were consistent with clinical observations.
CONCLUSION
This platform provides an innovative solution to inform or even replace phase 2a EBA trials, to bridge the gap between mouse efficacy studies and phase 2b and phase 3 trials, and to substantially accelerate drug development.
Identifiants
pubmed: 37321622
pii: 13993003.00165-2023
doi: 10.1183/13993003.00165-2023
pmc: PMC10469274
pii:
doi:
Substances chimiques
Antitubercular Agents
0
Types de publication
Journal Article
Research Support, N.I.H., Extramural
Langues
eng
Sous-ensembles de citation
IM
Subventions
Organisme : NIAID NIH HHS
ID : R01 AI111992
Pays : United States
Commentaires et corrections
Type : UpdateOf
Type : CommentIn
Informations de copyright
Copyright ©The authors 2023.
Déclaration de conflit d'intérêts
Conflict of interest: R.M. Savic and E. Nuermberger report support for the present work from TB Alliance and National Institutes of Health. In addition, E. Nuermberger also reports advisory board participation with Janssen, outside the submitted work. The remaining authors have no potential conflicts of interest to disclose.
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