Evidence map›Paper›PMID 30869201›Full record

ArticleCPT: pharmacometrics & systems pharmacology2019

Translational Assessment of Drug-Induced Proximal Tubule Injury Using a Kidney Microphysiological System.

Christian Maass, Nathan B Sorensen, Jonathan Himmelfarb, Edward J Kelly, Cynthia L Stokes, Murat Cirit

Open access · goldAbstract read
In one paragraph

Article in CPT: pharmacometrics & systems pharmacology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed, 4 pooled it
5.2field-weighted citation impact, top 4% 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

38 citing papers in PubMed, 4 syntheses or guidelines pooled it, 67 citations in OpenAlex.

  1. Pooled it
  2. Integration of microphysiological systems with computational and digital twin modeling for pharmaceutical development: a systematic review.Journal of pharmacy & pharmaceutical sciences : a publication of the Canadian Society for Pharmaceutical Sciences, Societe canadienne des sciences pharmaceutiques · 2026
    Pooled it
  3. Pooled it
  4. Pooled it
  5. Article
  6. Review
  7. Review
  8. Review
  9. Review
  10. Article
  11. Article
  12. Article
  13. Future Directions for Quantitative Systems Pharmacology.Handbook of experimental pharmacology · 2025
    Review
  14. Article
  15. Article
  16. Microphysiological systems to advance human pathophysiology and translational medicine.Journal of applied physiology (Bethesda, Md. : 1985) · 2024
    Review
  17. Article
  18. Article
  19. Article
  20. Article
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

6 authors at 3 institutions in 1 country.

Christian MaassDepartment of Biological Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA.
Nathan B SorensenDepartment of Biological Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA.
Jonathan HimmelfarbDepartment of Medicine, Kidney Research Institute, University of Washington, Seattle, Washington, USA.
Edward J KellyDepartment of Pharmaceutics, University of Washington, Seattle, Washington, USA.
Cynthia L StokesStokes Consulting, Redwood City, California, USA.
Murat CiritDepartment of Biological Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA.
Massachusetts Institute of Technology · USUniversity of Washington · USElectronic Arts (United States) · US

Funding

XENOBIOTIC BIOTRANSFORMATION AND DISPOSITIONP30ES007033 · NIEHS · UNIVERSITY OF WASHINGTON · PI ALI SHOJAIE · 1995 to 2026
$42.5M
Using iPSCs to model patient outcomes in nephrotic syndromeUH3TR000504 · NCATS · UNIVERSITY OF WASHINGTON · PI HIMMELFARB, JONATHAN · 2014 to 2016
$6.1M
Translational Center of Tissue Chip Technologies for quantitative characterization of Microphysiological SystemsU24TR001951 · NCATS · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI CIRIT, MURAT, GRODZINSKY, ALAN J. · 2016 to 2017
$5.3M
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
NCATS NIH HHS U24 TR001951NCATS NIH HHS UG3 TR002158NCATS NIH HHS UH3 TR000504NCATS NIH HHS UH3 TR002158NIEHS NIH HHS P30 ES007033
6 · The paper itself

Abstract

Drug-induced kidney injury, a major cause of acute kidney injury, results in progressive kidney disease and is linked to increased mortality in hospitalized patients. Primary injury sites of drug-induced kidney injury are proximal tubules. Clinically, kidney injury molecule-1, an established tubule-specific biomarker, is monitored to assess the presence and progression of injury. The ability to accurately predict drug-related nephrotoxicity preclinically would reduce patient burden and drug attrition rates, yet state-of-the-art in vitro and animal models fail to do so. In this study, we demonstrate the use of kidney injury molecule-1 measurement in the kidney microphysiological system as a preclinical model for drug toxicity assessment. To show clinical relevance, we use quantitative systems pharmacology computational models for in vitro-in vivo translation of the experimental results and to identify favorable dosing regimens for one of the tested drugs.

Indexed as

BiomarkersCell LineCisplatinGentamicinsHepatitis A Virus Cellular Receptor 1HumansKidney Tubular Necrosis, AcuteKidney Tubules, ProximalModels, TheoreticalRifampinTranslational Research, BiomedicalBiomarkersCisplatinGentamicinsHAVCR1 protein, humanHepatitis A Virus Cellular Receptor 1Rifampin

Identifiers

PMID30869201
PMCPMC6539699
OpenAlexW2922337031

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.