Evidence map›Paper›PMID 37704895›Full record

ArticlePharmaceutical research2023

Incorporating Uremic Solute-mediated Inhibition of OAT1/3 Improves PBPK Prediction of Tenofovir Renal and Systemic Disposition in Patients with Severe Kidney Disease.

Shih-Yu Chang, Weize Huang, Alenka Chapron, Antonio J López Quiñones, Joanne Wang, Nina Isoherranen, Danny D Shen, Edward J Kelly, Jonathan Himmelfarb, Catherine K Yeung

Open access · greenAbstract read
In one paragraph

Article in Pharmaceutical research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
2.0field-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

6 citing papers in PubMed, 8 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. Article
  5. Physiologically based pharmacokinetic modeling of small molecules: How much progress have we made?Drug metabolism and disposition: the biological fate of chemicals · 2025
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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

10 authors at 1 institution in 1 country.

Shih-Yu ChangDepartment of Pharmacy, School of Pharmacy, University of Washington, 1959 NE Pacific St. H375, Box 357630, Seattle, WA, 98195, USA.
Weize HuangDepartment of Pharmaceutics, School of Pharmacy, University of Washington, Seattle, WA, 98195, USA.
Alenka ChapronDepartment of Pharmaceutics, School of Pharmacy, University of Washington, Seattle, WA, 98195, USA.
Antonio J López QuiñonesDepartment of Pharmaceutics, School of Pharmacy, University of Washington, Seattle, WA, 98195, USA.
Joanne WangDepartment of Pharmaceutics, School of Pharmacy, University of Washington, Seattle, WA, 98195, USA.
Nina IsoherranenDepartment of Pharmaceutics, School of Pharmacy, University of Washington, Seattle, WA, 98195, USA.
Danny D ShenDepartment of Pharmaceutics, School of Pharmacy, University of Washington, Seattle, WA, 98195, USA.
Edward J KellyDepartment of Pharmaceutics, School of Pharmacy, University of Washington, Seattle, WA, 98195, USA.
Jonathan HimmelfarbDivision of Nephrology, Department of Medicine, Kidney Research Institute, University of Washington, Seattle, WA, 98195, USA.
Catherine K YeungDepartment of Pharmacy, School of Pharmacy, University of Washington, 1959 NE Pacific St. H375, Box 357630, Seattle, WA, 98195, USA. cathyy@uw.edu.ORCID http://orcid.org/0000-0002-6556-6641
University of Washington · US

Funding

Understanding Fetal Exposure to Cannabinoids Through In Vitro and In Vivo StudiesP01DA032507 · NIDA · UNIVERSITY OF WASHINGTON · PI UNADKAT, JASHVANT D · 2013 to 2023
$12.4M
Modulation of drug transport at the renal proximal tubule by uremic solutes – implications in chronic kidney diseaseR01GM121354 · NIGMS · UNIVERSITY OF WASHINGTON · PI YEUNG, CATHERINE K. · 2017 to 2021
$1.5M
NIDA NIH HHS P01 DA032507NIDA NIH HHS P01DA032507NIGMS NIH HHS R01 GM121354NIGMS NIH HHS R01GM121354
6 · The paper itself

Abstract

backgroundDose modification of renally secreted drugs in patients with chronic kidney disease (CKD) has relied on serum creatinine concentration as a biomarker to estimate glomerular filtration (GFR) under the assumption that filtration and secretion decline in parallel. A discrepancy between actual renal clearance and predicted renal clearance based on GFR alone is observed in severe CKD patients with tenofovir, a compound secreted by renal OAT1/3. Uremic solutes that inhibit OAT1/3 may play a role in this divergence.

methodsTo examine the impact of transporter inhibition by uremic solutes on tenofovir renal clearance, we determined the inhibitory potential of uremic solutes hippuric acid, indoxyl sulfate, and p-cresol sulfate. The inhibition parameters (IC

resultsWithout the incorporation of uremic solute inhibition, the PBPK model failed to capture the observed data with an absolute average fold error (AAFE) > 2. However, when the inhibition of renal uptake transporters and uptake transporters in the slow distribution tissues were included, the AAFE value was within the pre-defined twofold model acceptance criterion, demonstrating successful model extrapolation to CKD patients.

conclusionA PBPK model that incorporates inhibition by uremic solutes has potential to better predict renal clearance and systemic disposition of secreted drugs in patients with CKD. Ongoing research is warranted to determine if the model can be expanded to include other OAT1/3 substrate drugs and to evaluate how these findings can be translated to clinical guidance for drug selection and dose optimization in patients with CKD.

Indexed as

KidneyRenal Insufficiency, ChronicBiological TransportHumansMembrane Transport ProteinsMembrane Transport ProteinsCKDPBPKrenal clearancerenal transportertenofovir

Identifiers

PMID37704895
PMCPMC11901350
OpenAlexW4386698706

What OpenQuestion holds

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Registered trials

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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.