Evidence mapPaperPMID 40568828Full record

ReviewExpert opinion on drug safety2026

Enhancing therapeutic strategies and drug development for patients with kidney disease.

Yik Pui Tsang, Kayenat S Aryeh, Kai Wang, Jonathan Himmelfarb, Catherine K Yeung, Edward J Kelly

Abstract readReview
In one paragraph

Review in Expert opinion on drug safety, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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.

Yik Pui TsangDepartment of Pharmaceutics, School of Pharmacy, University of Washington, Seattle, WA, USA.
Kayenat S AryehDepartment of Pharmaceutics, School of Pharmacy, University of Washington, Seattle, WA, USA.
Kai WangDepartment of Pharmaceutics, School of Pharmacy, University of Washington, Seattle, WA, USA.
Jonathan HimmelfarbBarbara T. Murphy Division of Nephrology, Samuel Bronfman Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Catherine K YeungDepartment of Pharmacy, School of Pharmacy, University of Washington, Seattle, WA, USA.
Edward J KellyDepartment of Pharmaceutics, School of Pharmacy, University of Washington, Seattle, WA, USA.

Funding

Translational center for kidney microphysiological systems to improve drug safety and efficacyU2CTR004867 · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · 2025 to 2025
$1.6M
NCATS NIH HHS U2C TR004867NCATS NIH HHS UG3 TR002158NCATS NIH HHS UG3 TR002178NCATS NIH HHS UH3 TR000504NICHD NIH HHS R01 HD102786
6 · The paper itself

Abstract

introductionKidney diseases, including chronic kidney disease and acute kidney injury, pose major global health challenges due to their high prevalence and impact on morbidity and mortality. Despite medical advances, there remains an urgent need for improved drug development and therapeutic strategies to treat these conditions. AREAS COVERED: This review examines how renal transporters influence drug handling, highlighting the impact of altered transporter function on toxin accumulation, organ injury, and systemic toxicity. We also address pharmacokinetic and pharmacodynamic changes in kidney diseases, recent advances in preclinical models like microphysiological systems, emerging therapies, and biomarkers for early detection and monitoring. EXPERT OPINION: A robust understanding of transporter function and disease-specific pharmacokinetic shifts is crucial for optimizing drug development. While MPS show promise in predicting drug responses and nephrotoxicity by more accurately simulating human kidney physiology, current hurdles include complexity, cost, and scalability. Emerging biomarkers require stringent validation to ensure specificity and reliability in kidney disease. Targeting transporters offers novel therapeutic and drug repurposing opportunities. Moving forward, refining and validating these models and biomarkers, alongside patient-tailored therapies, will improve personalized medicine and management. Attentive integration of these innovations could significantly reduce morbidity and improve outcomes worldwide for patients with kidney disease.

Indexed as

Acute Kidney InjuryDrug DevelopmentKidney DiseasesRenal Insufficiency, ChronicAnimalsBiomarkersDrug RepositioningHumansMembrane Transport ProteinsPharmaceutical PreparationsPrecision MedicineBiomarkersMembrane Transport ProteinsPharmaceutical Preparationsbiomarkers for kidney diseasesdrug pharmacokinetics and pharmacodynamicsdrug repurposingin vitro and in vitro models for drug developmentKidney diseasesmicrophysiological systemsmodel-informed drug developmentrenal drug transporters

Identifiers

PMID40568828
PMCPMC12285105

What Socratic 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 Socratic graph.