Evidence map›Paper›PMID 39246046›Full record

ReviewClinical pharmacology and therapeutics2025

Utility of Biomarker-Informed Drug Interaction Evaluation in Drug Development and Regulatory Decision Making.

Akihiro Ishiguro, Hiroyuki Kusuhara, Emi Kimoto, So Miyoshi, Katsuhiko Mizuno, Motohiro Hoshino, Hiroshi Suzuki

Abstract readReview
In one paragraph

Review in Clinical pharmacology and therapeutics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Akihiro IshiguroPharmaceuticals and Medical Devices Agency (PMDA), Tokyo, Japan.ORCID 0000-0003-0438-4809
Hiroyuki KusuharaLaboratory of Molecular Pharmacokinetics, Graduate School of Pharmaceutical Sciences, The University of Tokyo, Tokyo, Japan.ORCID 0000-0002-3641-8746
Emi KimotoDepartment of Pharmacokinetics, Dynamics and Metabolism, Worldwide Research & Development, Pfizer Inc., Groton, Connecticut, USA.ORCID 0000-0003-1284-2769
So MiyoshiClinical Evaluation Expert Committee, Drug Evaluation Committee, Japan Pharmaceutical Manufacturers Association (JPMA), Tokyo, Japan.
Katsuhiko MizunoClinical Evaluation Expert Committee, Drug Evaluation Committee, Japan Pharmaceutical Manufacturers Association (JPMA), Tokyo, Japan.
Motohiro HoshinoPharmaceuticals and Medical Devices Agency (PMDA), Tokyo, Japan.
Hiroshi SuzukiPharmaceuticals and Medical Devices Agency (PMDA), Tokyo, Japan.ORCID 0000-0002-9730-3133

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The measurement of endogenous biomarkers in plasma and urine before and after administration of an investigational drug in a clinical study may provide an early indication of its drug-drug interaction (DDI) potential via a specific pathway. In the first international harmonized guideline on drug interaction studies, the International Council for Harmonisation of Technical Requirements for Pharmaceuticals for Human Use (ICH) M12, endogenous biomarkers have been recognized as an emerging approach in the transporter- and enzyme-based DDI risk assessment. Clinical Pharmacology Roundtable Conference 2024 held at Pharmaceuticals and Medical Devices Agency (PMDA) brought together experts from regulatory agencies, academia, and industries to discuss potential advantages and challenges of the biomarkers approach in drug development and regulatory decision making. This meeting report facilitates stakeholders involved in drug development in better understanding the utility of biomarker approaches and promotes early implementation of biomarker-informed DDI evaluation in regulatory use.

Indexed as

BiomarkersDecision MakingDrug DevelopmentDrug InteractionsHumansRisk AssessmentBiomarkers

Identifiers

PMID39246046
PMCPMC11739733

What OpenQuestion holds

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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.