Evidence map›Paper›PMID 34378335›Full record

ReviewClinical and translational science2022

Microphysiological systems in absorption, distribution, metabolism, and elimination sciences.

Kirk P Van Ness, Francine Cesar, Catherine K Yeung, Jonathan Himmelfarb, Edward J Kelly

Open access · goldAbstract readReview
In one paragraph

Review in Clinical and translational science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
1.5field-weighted citation impact, top 19% 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

16 citing papers in PubMed, 31 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Review
  5. Article
  6. Functional Liver Cell-Based Platforms in Biomedical Research.Pharmacology research & perspectives · 2025
    Review
  7. Tissue chips as headway model and incitement technology.Synthetic and systems biotechnology · 2025
    Review
  8. Article
  9. Double Imprinted Nanoparticles for Sequential Membrane-to-Nuclear Drug Delivery.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024
    Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Review
  15. Article
  16. 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

5 authors at 1 institution in 1 country.

Kirk P Van NessDepartment of Pharmaceutics, University of Washington, Seattle, Washington, USA.
Francine CesarDepartment of Pharmaceutics, University of Washington, Seattle, Washington, USA.
Catherine K YeungDepartment of Pharmacy, University of Washington, Seattle, Washington, USA.
Jonathan HimmelfarbKidney Research Institute, University of Washington, Seattle, Washington, USA.
Edward J KellyDepartment of Pharmaceutics, University of Washington, Seattle, Washington, USA.ORCID 0000-0002-6534-9313
University of Washington · US

Funding

XENOBIOTIC BIOTRANSFORMATION AND DISPOSITIONP30ES007033 · NIEHS · UNIVERSITY OF WASHINGTON · PI Sheela Sathyanarayana · 1995 to 2026
$42.5M
Tissue Chip Data to the Microphysiology Systems Database (MPS-Db) Supplement to A Microphysiological System for Kidney Disease Modeling and Drug Efficacy TestingUH3TR002158 · NCATS · UNIVERSITY OF WASHINGTON · PI HIMMELFARB, JONATHAN · 2019 to 2021
$4.2M
A Microphysiological System for Kidney Disease Modeling and Drug Efficacy TestingUG3TR002158 · NCATS · UNIVERSITY OF WASHINGTON · PI HIMMELFARB, JONATHAN · 2017 to 2018
$2.9M
Safety and Efficacy of Human Clinical Trials Using Kidney-on-a-Chip Microphysiological SystemsUG3TR003288 · NCATS · UNIVERSITY OF WASHINGTON · PI HIMMELFARB, JONATHAN, KRETZLER, MATTHIAS · 2020 to 2021
$1.7M
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
CKDu and Ochratoxin-A: risk assessment studies in a microphysiological systemR21ES031359 · NIEHS · UNIVERSITY OF WASHINGTON · PI KELLY, EDWARD J · 2020 to 2021
$404k
NCATS NIH HHS UG3 TR002158NCATS NIH HHS UG3 TR003288NCATS NIH HHS UH3 TR002158NIEHS NIH HHS P30 ES007033NIEHS NIH HHS R21 ES031359NIGMS NIH HHS R01 GM121354
6 · The paper itself

Abstract

The use of microphysiological systems (MPS) to support absorption, distribution, metabolism, and elimination (ADME) sciences has grown substantially in the last decade, in part driven by regulatory demands to move away from traditional animal-based safety assessment studies and industry desires to develop methodologies to efficiently screen and characterize drugs in the development pipeline. The past decade of MPS development has yielded great user-driven technological advances with the collective fine-tuning of cell culture techniques, fluid delivery systems, materials engineering, and performance enhancing modifications. The rapid advances in MPS technology have now made it feasible to evaluate critical ADME parameters within a stand-alone organ system or through interconnected organ systems. This review surveys current MPS developed for liver, kidney, and intestinal systems as stand-alone or interconnected organ systems, and evaluates each system for specific performance criteria recommended by regulatory authorities and MPS leaders that would render each system suitable for evaluating drug ADME. Whereas some systems are more suitable for ADME type research than others, not all system designs were intended to meet the recently published desired performance criteria and are reported as a summary of initial proof-of-concept studies.

Indexed as

Drug DevelopmentDrug Evaluation, PreclinicalModels, BiologicalPrescription DrugsPrescription Drugs

Identifiers

PMID34378335
PMCPMC8742652
OpenAlexW3191299169

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.