Evidence map›Paper›PMID 24132209›Full record

ReviewKidney international2014

Effects of chronic kidney disease and uremia on hepatic drug metabolism and transport.

Catherine K Yeung, Danny D Shen, Kenneth E Thummel, Jonathan Himmelfarb

Abstract readReview
In one paragraph

Review in Kidney international, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 101 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
101citing papers in PubMed, 2 pooled it
25.0field-weighted citation impact, top 1% 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

101 citing papers in PubMed, 2 syntheses or guidelines pooled it, 206 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Trial
  5. Trial
  6. Trial
  7. Article
  8. Article
  9. Review
  10. Review
  11. Article
  12. Review
  13. Article
  14. Article
  15. Review
  16. Article
  17. Article
  18. Article
  19. Observational
  20. Observational

41 more citing papers are in PubMed but not listed here.

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 at 1 institution in 1 country.

Catherine K Yeung1] Department of Pharmacy, School of Pharmacy, University of Washington, Seattle, Washington, USA [2] Department of Medicine, Kidney Research Institute, University of Washington, Seattle, Washington, USA.
Danny D Shen1] Department of Medicine, Kidney Research Institute, University of Washington, Seattle, Washington, USA [2] Department of Pharmaceutics, School of Pharmacy, University of Washington, Seattle, Washington, USA.
Kenneth E ThummelDepartment of Pharmaceutics, School of Pharmacy, University of Washington, Seattle, Washington, USA.
Jonathan HimmelfarbDepartment of Medicine, Kidney Research Institute, University of Washington, Seattle, Washington, USA.
University of Washington · US

Funding

NCCIH Supplement to NCATS/CTSA Program for KL2 Scholars - M. SoddersKL2TR002317 · NCATS · UNIVERSITY OF WASHINGTON · PI Christy Michelle McKinney · 2017 to 2026
$14.5M
Institute of Translational Health SciencesKL2TR000421 · NCATS · UNIVERSITY OF WASHINGTON · PI DISIS, MARY L. · 2012 to 2016
$12.6M
Using iPSCs to model patient outcomes in nephrotic syndromeUH3TR000504 · NCATS · UNIVERSITY OF WASHINGTON · PI HIMMELFARB, JONATHAN · 2014 to 2016
$6.1M
A Tissue Engineered Human Kidney Microphysiological SystemUH2TR000504 · NCATS · UNIVERSITY OF WASHINGTON · PI HIMMELFARB, JONATHAN · 2012 to 2013
$2.1M
NCATS NIH HHS 1UH2 TR000504NCATS NIH HHS KL2 TR000421NCATS NIH HHS KL2 TR002317NCATS NIH HHS UH2 TR000504NCATS NIH HHS UH3 TR000504
6 · The paper itself

Abstract

The pharmacokinetics of non-renally cleared drugs in patients with chronic kidney disease is often unpredictable. Some of this variability may be due to alterations in the expression and activity of extra renal drug-metabolizing enzymes and transporters, primarily localized in the liver and intestine. Studies conducted in rodent models of renal failure have shown decreased mRNA and protein expression of many members of the cytochrome P450 enzyme (CYP) gene family and the ATP-binding cassette (ABC) and solute carrier (SLC) gene families of drug transporters. Uremic toxins interfere with transcriptional activation, cause downregulation of gene expression mediated by proinflammatory cytokines, and directly inhibit the activity of the cytochrome P450s and drug transporters. While much has been learned about the effects of kidney disease on non-renal drug disposition, important questions remain regarding the mechanisms of these effects, as well as the interplay between drug-metabolizing enzymes and drug transporters in the uremic milieu. In this review, we have highlighted the existing gaps in our knowledge and understanding of the impact of chronic kidney disease on non-renal drug clearance, and identified areas of opportunity for future research.

Indexed as

AnimalsBiological TransportHumansLiverPharmaceutical PreparationsRenal Insufficiency, ChronicUremiaPharmaceutical Preparations

Identifiers

PMID24132209
PMCPMC4276411
OpenAlexW1973792425

What OpenQuestion holds

Textmetadata
LicenceTDM
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.