Evidence map›Paper›PMID 39884810›Full record

ArticleDrug metabolism and disposition: the biological fate of chemicals2025

Comparative analysis of the physiological and transport functions of various sources of renal proximal tubule cells under static and fluidic conditions in PhysioMimix T12 platform.

Courtney Sakolish, Haley L Moyer, Han-Hsuan D Tsai, Lucie C Ford, Allison N Dickey, Piyush Bajaj, Remi Villenave, Philip Hewitt, Stephen S Ferguson, Jason Stanko and 1 more

Abstract readComparative Study
In one paragraph

Article in Drug metabolism and disposition: the biological fate of chemicals, 2025. 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
–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

6 citing papers in PubMed.

  1. Review
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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

11 authors.

Courtney SakolishDepartment of Veterinary Physiology and Pharmacology, Texas A&M University, College Station, Texas.
Haley L MoyerDepartment of Veterinary Physiology and Pharmacology, Texas A&M University, College Station, Texas.
Han-Hsuan D TsaiDepartment of Veterinary Physiology and Pharmacology, Texas A&M University, College Station, Texas.
Lucie C FordDepartment of Veterinary Physiology and Pharmacology, Texas A&M University, College Station, Texas.
Allison N DickeyBioinformatics Research Center, North Carolina State University, Raleigh, North Carolina.
Piyush BajajGlobal Investigative Toxicology, Preclinical Safety, Sanofi, Cambridge, Massachusetts.
Remi VillenaveRoche Pharma Research and Early Development, Roche Innovation Center Basel, F. Hoffmann-La Roche Ltd, Basel, Switzerland.
Philip HewittChemical and Preclinical Safety, Merck KGaA, Darmstadt, Germany.
Stephen S FergusonDivision of Translational Toxicology, National Institute of Environmental Health Sciences, Research Triangle Park, North Carolina.
Jason StankoDivision of Translational Toxicology, National Institute of Environmental Health Sciences, Research Triangle Park, North Carolina.
Ivan RusynDepartment of Veterinary Physiology and Pharmacology, Texas A&M University, College Station, Texas. Electronic address: irusyn@tamu.edu.

Funding

Single cell, multi-parametric high throughput platform to classify endocrine disruptor potential of mixturesP42ES027704 · NIEHS · TEXAS A&M UNIVERSITY · PI Ivan Rusyn · 2017 to 2026
$21.2M
Regulatory Science in Environmental Health and ToxicologyT32ES026568 · NIEHS · TEXAS A&M UNIVERSITY · PI Weihsueh A Chiu, Natalie M Johnson · 2016 to 2026
$3.8M
TEX-VAL: Texas A&M Tissue Chip Validation ConsortiumU24TR002633 · NCATS · TEXAS A&M UNIVERSITY · PI RUSYN, IVAN, STEPHAN, CLIFFORD C · 2018 to 2019
$3.0M
IMSD at Texas A&M University: Initiative for Maximizing Student Diversity in Biomedical SciencesT32GM135748 · NIGMS · TEXAS A&M UNIVERSITY · PI BRINKMEYER-LANGFORD, CANDICE L., CHIU, WEIHSUEH A · 2020 to 2024
$1.2M
NCATS NIH HHS U24 TR002633NIEHS NIH HHS P42 ES027704NIEHS NIH HHS T32 ES026568NIGMS NIH HHS T32 GM135748
6 · The paper itself

Abstract

In vitro models that can faithfully replicate critical aspects of kidney tubule function such as directional drug transport are in high demand in pharmacology and toxicology. Accordingly, development and validation of new models is underway. The objective of this study was to characterize physiologic and transport functions of various sources of human renal proximal tubule epithelial cells (RPTECs). We tested telomerase reverse transcriptase 1 (TERT1)-immortalized RPTECs, including organic anion transporter 1 (OAT1)-, organic cation transporter 2 (OCT2)-, or OAT3-overexpressing variants and primary RPTECs. Cells were cultured on transwell membranes in static (24-well transwells) and fluidic (transwells in PhysioMimix T12 organ-on-chip with 2 μL/s flow) conditions. Barrier formation, transport, and gene expression were evaluated. We show that 2 commercially available primary RPTECs were not suitable for studies of directional transport on transwells because they formed a substandard barrier even though they exhibited higher expression of transporters, especially under flow. TERT1-parent, -OAT1, and -OAT3 cells formed robust barriers but were unaffected by flow. TERT1-OAT1 cells exhibited inhibitable para-aminohippurate transport that was enhanced by flow. However, efficient tenofovir secretion and perfluorooctanoic acid reabsorption by TERT1-OAT1 cells were not modulated by flow. Gene expression showed that TERT1 and TERT1-OAT1 cells were more correlated with human kidney than other cell lines but that flow did not have noticeable effects. Overall, our data show that addition of flow to in vitro studies of the renal proximal tubule may afford benefits in some aspects of modeling kidney function but that careful consideration of the impact such adaptations would have on the cost and throughput of the experiments is needed. SIGNIFICANCE STATEMENT: The topic of reproducibility and robustness of complex microphysiological systems is looming large in the field of biomedical research; therefore, uptake of these new models by the end-users is slow. This study systematically compared various renal proximal tubule epithelial cell sources and experimental conditions, aiming to identify the level of model complexity needed for testing renal tubule transport. We demonstrate that although tissue chips may afford some benefits, their throughput and complexity need careful consideration in each context of use.

Indexed as

Epithelial CellsKidney Tubules, ProximalBiological TransportCells, CulturedHumansOrganic Anion Transporters, Sodium-IndependentOrganic Anion Transport Protein 1Organic Cation Transporter 2TelomeraseOrganic Anion Transporters, Sodium-IndependentOrganic Anion Transport Protein 1organic anion transport protein 3Organic Cation Transporter 2TelomeraseKidneyOrgan-on-chipPharmacokineticsToxicity

Identifiers

PMID39884810
PMCPMC11822869

What Socratic holds

Textmetadata
Read underepoch 390

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 Socratic graph.