Evidence map›Paper›PMID 32383787›Full record

ArticleCPT: pharmacometrics & systems pharmacology2020

Physiologically-Based Pharmacokinetic Model-Informed Drug Development for Fenebrutinib: Understanding Complex Drug-Drug Interactions.

Yuan Chen, Fang Ma, Nicholas S Jones, Kenta Yoshida, Po-Chang Chiang, Matthew R Durk, Matthew R Wright, Jin Yan Jin, Leslie W Chinn

Open access · goldAbstract read
In one paragraph

Article in CPT: pharmacometrics & systems pharmacology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.7field-weighted citation impact, top 14% 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

8 citing papers in PubMed, 25 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. Transporters in Regulatory Science: Notable Contributions from Dr. Giacomini in the Past Two Decades.Drug metabolism and disposition: the biological fate of chemicals · 2022
    Article
  5. Review
  6. Article
  7. Article
  8. Examination of Physiologically-Based Pharmacokinetic Models of Rosuvastatin.CPT: pharmacometrics & systems pharmacology · 2021
    Review
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

9 authors at 1 institution in 1 country.

Yuan ChenDepartment of Drug Metabolism and Pharmacokinetics, Genentech, Inc., South San Francisco, California, USA.
Fang MaDepartment of Drug Metabolism and Pharmacokinetics, Genentech, Inc., South San Francisco, California, USA.
Nicholas S JonesDepartment of Clinical Science, Genentech, Inc., South San Francisco, California, USA.
Kenta YoshidaDepartment of Clinical Pharmacology, Genentech, Inc., South San Francisco, California, USA.
Po-Chang ChiangDepartment of Pharmaceutical Science, Genentech, Inc., South San Francisco, California, USA.
Matthew R DurkDepartment of Drug Metabolism and Pharmacokinetics, Genentech, Inc., South San Francisco, California, USA.
Matthew R WrightDepartment of Drug Metabolism and Pharmacokinetics, Genentech, Inc., South San Francisco, California, USA.
Jin Yan JinDepartment of Clinical Pharmacology, Genentech, Inc., South San Francisco, California, USA.
Leslie W ChinnDepartment of Clinical Pharmacology, Genentech, Inc., South San Francisco, California, USA.
Sunesis (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Fenebrutinib is a CYP3A substrate and time-dependent inhibitor, as well as a BCRP and OATP1B transporter inhibitor in vitro. Physiologically-based pharmacokinetic (PBPK) modeling strategies with the ultimate goal of understanding complex drug-drug interactions (DDIs) and proposing doses for untested scenarios were developed. The consistency in the results of two independent approaches, PBPK simulation and endogenous biomarker measurement, supported that the observed transporter DDI is primarily due to fenebrutinib inhibition of intestinal BCRP, rather than hepatic OATP1B. A mechanistic-absorption model accounting for the effects of excipient complexation with fenebrutinib was used to rationalize the unexpected observation of itraconazole-fenebrutinib DDI (maximum plasma concentration (C

Indexed as

Models, BiologicalAnimalsATP Binding Cassette Transporter, Subfamily G, Member 2BiotransformationClinical Trials, Phase I as TopicComputer SimulationCytochrome P-450 CYP3ACytochrome P-450 CYP3A InhibitorsDogsDrug CompoundingDrug DevelopmentDrug InteractionsExcipientsHumansIntestinesLiverABCG2 protein, humanATP Binding Cassette Transporter, Subfamily G, Member 2CYP3A protein, humanCytochrome P-450 CYP3ACytochrome P-450 CYP3A InhibitorsExcipientsfenebrutinibLiver-Specific Organic Anion Transporter 1Neoplasm ProteinsPiperazinesPyridonesSLCO1B1 protein, human

Identifiers

PMID32383787
PMCPMC7306618
OpenAlexW3021112882

What OpenQuestion holds

Textmetadata
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.