Evidence map›Paper›PMID 32860631›Full record

ArticleBritish journal of pharmacology2020

Anti-tuberculosis effect of isoniazid scales accurately from zebrafish to humans.

Rob C van Wijk, Wanbin Hu, Sharka M Dijkema, Dirk-Jan van den Berg, Jeremy Liu, Rida Bahi, Fons J Verbeek, Ulrika S H Simonsson, Herman P Spaink, Piet H van der Graaf and 1 more

Open access · hybridAbstract read
In one paragraph

Article in British journal of pharmacology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.2field-weighted citation impact, top 33% of its field
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

9 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
  2. Review
  3. Pathogens (Basel, Switzerland) · 2025
    Review
  4. Article
  5. Article
  6. Article
  7. Recent developments inDrug metabolism reviews · 2021
    Article
  8. Review
  9. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors at 2 institutions in 3 countries.

Rob C van WijkDivision of Systems Biomedicine and Pharmacology, Leiden Academic Centre for Drug Research, Leiden University, Leiden, The Netherlands.ORCID 0000-0001-7247-1360
Wanbin HuDivision of Animal Sciences and Health, Institute of Biology Leiden, Leiden University, Leiden, The Netherlands.ORCID 0000-0003-3660-2700
Sharka M DijkemaDivision of Systems Biomedicine and Pharmacology, Leiden Academic Centre for Drug Research, Leiden University, Leiden, The Netherlands.
Dirk-Jan van den BergDivision of Systems Biomedicine and Pharmacology, Leiden Academic Centre for Drug Research, Leiden University, Leiden, The Netherlands.ORCID 0000-0002-2253-579X
Jeremy LiuDivision of Systems Biomedicine and Pharmacology, Leiden Academic Centre for Drug Research, Leiden University, Leiden, The Netherlands.
Rida BahiDivision of Systems Biomedicine and Pharmacology, Leiden Academic Centre for Drug Research, Leiden University, Leiden, The Netherlands.
Fons J VerbeekImaging and Bioinformatics Group, Leiden Institute of Advanced Computer Science, Leiden University, Leiden, The Netherlands.ORCID 0000-0003-2445-8158
Ulrika S H SimonssonDepartment of Pharmaceutical Biosciences, Uppsala University, Uppsala, Sweden.ORCID 0000-0002-3424-9686
Herman P SpainkDivision of Animal Sciences and Health, Institute of Biology Leiden, Leiden University, Leiden, The Netherlands.ORCID 0000-0003-4128-9501
Piet H van der GraafDivision of Systems Biomedicine and Pharmacology, Leiden Academic Centre for Drug Research, Leiden University, Leiden, The Netherlands.
Elke H J KrekelsDivision of Systems Biomedicine and Pharmacology, Leiden Academic Centre for Drug Research, Leiden University, Leiden, The Netherlands.ORCID 0000-0001-6006-1567
Leiden University · NLUppsala University · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

background and purposeThere is a clear need for innovation in anti-tuberculosis drug development. The zebrafish larva is an attractive disease model in tuberculosis research. To translate pharmacological findings to higher vertebrates, including humans, the internal exposure of drugs needs to be quantified and linked to observed response. EXPERIMENTAL APPROACH: In zebrafish studies, drugs are usually dissolved in the external water, posing a challenge to quantify internal exposure. We developed experimental methods to quantify internal exposure, including nanoscale blood sampling, and to quantify the bacterial burden, using automated fluorescence imaging analysis, with isoniazid as the test compound. We used pharmacokinetic-pharmacodynamic modelling to quantify the exposure-response relationship responsible for the antibiotic response. To translate isoniazid response to humans, quantitative exposure-response relationships in zebrafish were linked to simulated concentration-time profiles in humans, and two quantitative translational factors on sensitivity to isoniazid and stage of infection were included. KEY

resultsBlood concentration was only 20% of the external drug concentration. The bacterial burden increased exponentially, and an isoniazid dose corresponding to 15 mg·L CONCLUSIONS AND IMPLICATIONS: This proof of concept study confirmed the potential of zebrafish larvae as tuberculosis disease models in translational pharmacology and contributes to innovative anti-tuberculosis drug development, which is very clearly needed.

Indexed as

IsoniazidTuberculosisAnimalsAntitubercular AgentsHumansMicrobial Sensitivity TestsZebrafishAntitubercular AgentsIsoniazidImagingin vivomathematical modellingpharamacodynamicspharmacokineticsTranslational pharmacologytuberculosiszebrafish

Identifiers

PMID32860631
PMCPMC7707096
OpenAlexW3082364902

What OpenQuestion holds

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LicenceCC BY
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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.