Evidence map›Paper›PMID 37321622›Full record

ArticleThe European respiratory journal2023

Translational predictions of phase 2a first-in-patient efficacy studies for antituberculosis drugs.

Jacqueline P Ernest, Janice Jia Ni Goh, Natasha Strydom, Qianwen Wang, Rob C van Wijk, Nan Zhang, Amelia Deitchman, Eric Nuermberger, Rada M Savic

Abstract read
In one paragraph

Article in The European respiratory journal, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Article
  6. Tuberculosis: An Update for the Clinician.Respirology (Carlton, Vic.) · 2025
    Review
  7. GEODE: anFrontiers in pharmacology · 2025
    Article
  8. REVOLUTIONIZING TUBERCULOSIS REGIMEN DEVELOPMENT.Transactions of the American Clinical and Climatological Association · 2025
    Review
  9. Toward better cures forClinical microbiology reviews · 2024
    Review
  10. Article
  11. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Jacqueline P ErnestDepartment of Bioengineering and Therapeutic Sciences, University of California, San Francisco, San Francisco, CA, USA.ORCID 0000-0002-7664-7287
Janice Jia Ni GohDepartment of Bioengineering and Therapeutic Sciences, University of California, San Francisco, San Francisco, CA, USA.
Natasha StrydomDepartment of Bioengineering and Therapeutic Sciences, University of California, San Francisco, San Francisco, CA, USA.
Qianwen WangDepartment of Bioengineering and Therapeutic Sciences, University of California, San Francisco, San Francisco, CA, USA.
Rob C van WijkDepartment of Bioengineering and Therapeutic Sciences, University of California, San Francisco, San Francisco, CA, USA.ORCID 0000-0001-7247-1360
Nan ZhangDepartment of Bioengineering and Therapeutic Sciences, University of California, San Francisco, San Francisco, CA, USA.ORCID 0000-0001-5031-9480
Amelia DeitchmanDepartment of Bioengineering and Therapeutic Sciences, University of California, San Francisco, San Francisco, CA, USA.
Eric NuermbergerCenter for Tuberculosis Research, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MA, USA.ORCID 0000-0003-1440-9889
Rada M SavicDepartment of Bioengineering and Therapeutic Sciences, University of California, San Francisco, San Francisco, CA, USA rada.savic@ucsf.edu.ORCID 0000-0003-3143-5579

Funding

Integrative Pharmacology Approach to Understand Mechanisms of TB Drug ResistanceR01AI111992 · NIAID · JOHNS HOPKINS UNIVERSITY · PI DOOLEY, KELLY E., NUERMBERGER, ERIC L · 2014 to 2018
$3.5M
NIAID NIH HHS R01 AI111992
6 · The paper itself

Abstract

backgroundPhase 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

findingsFirst, 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.

conclusionThis 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.

Indexed as

Antitubercular AgentsTuberculosisAnimalsDisease Models, AnimalMiceAntitubercular Agents

Identifiers

PMID37321622
PMCPMC10469274

What OpenQuestion holds

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LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.