Evidence map›Paper›PMID 40065524›Full record

ArticleCPT: pharmacometrics & systems pharmacology2025

Genotype, Ethnicity, and Drug-Drug Interaction Modeling as Means of Verifying Transporter Biomarker PBPK Model: The Coproporphyrin-I Story.

Yuki Ujihira, Shawn Pei Feng Tan, Daniel Scotcher, Aleksandra Galetin

Abstract read
In one paragraph

Article in CPT: pharmacometrics & systems pharmacology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. 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

4 authors.

Yuki UjihiraCentre for Applied Pharmacokinetic Research, School of Health Sciences, University of Manchester, Manchester, UK.ORCID https://orcid.org/0009-0005-6130-1442
Shawn Pei Feng TanCentre for Applied Pharmacokinetic Research, School of Health Sciences, University of Manchester, Manchester, UK.ORCID https://orcid.org/0000-0003-4195-9886
Daniel ScotcherCentre for Applied Pharmacokinetic Research, School of Health Sciences, University of Manchester, Manchester, UK.ORCID https://orcid.org/0000-0001-9144-3824
Aleksandra GaletinCentre for Applied Pharmacokinetic Research, School of Health Sciences, University of Manchester, Manchester, UK.ORCID https://orcid.org/0000-0002-3933-5217

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Coproporphyrin-I (CP-I) is a selective endogenous biomarker of organic anion-transporting polypeptide (OATP)1B. Multiple CP-I PBPK models with differing input parameters have been reported so far. This study proposed a harmonized CP-I PBPK model and evaluated its ability to predict the effect of ethnicity, SLCO1B1 genotype c.521T>C, and sex on CP-I baseline and CP-I-drug interactions using the largest clinical dataset to date. The CP-I PBPK model successfully predicted CP-I plasma baseline from 731 subjects, with 97% of predictions within 1.5-fold of the observed data. Prediction of weak, moderate, and strong OATP1B-mediated interactions with probenecid, low-dose cyclosporine, and rifampicin, respectively, was evaluated with 21 datasets. Overall, > 76% of CP-I C

Indexed as

CoproporphyrinsLiver-Specific Organic Anion Transporter 1Models, BiologicalAdultBiomarkersCyclosporineDrug InteractionsEthnicityFemaleGenotypeHumansMaleMiddle AgedProbenecidRifampinYoung AdultBiomarkerscoproporphyrin ICoproporphyrinsCyclosporineLiver-Specific Organic Anion Transporter 1ProbenecidRifampinSLCO1B1 protein, humanbiomarkerdrug–drug interactionPBPKtransporter

Identifiers

PMID40065524
PMCPMC12072222

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.