Evidence map›Paper›PMID 41191083›Full record

ReviewCell and tissue research2025

Kidney organoids in translational research: disease modeling, drug discovery, and unresolved challenges.

Yue Xi, Wei Song

Abstract readReview
PubMed Publisher
In one paragraph

Review in Cell and tissue research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Review
  3. 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

2 authors.

Yue XiDepartment of Geriatrics, Shandong Provincial Third Hospital, Shandong University, Ji'nan, 250031, China. slsyxiyyue@163.com.
Wei SongDepartment of Minimally Invasive Comprehensive Tumor Treatment, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Ji'nan, 250021, China.

Funding

The Key R&D Program of Shandong Province 2022CXGC020501
6 · The paper itself

Abstract

Kidney organoids derived from human pluripotent stem cells (hPSCs) have emerged as powerful platforms for translational nephrology, enabling complex renal pathophysiology modeling in physiologically relevant three-dimensional contexts. This review synthesizes recent advances in kidney organoid applications for disease modeling and drug discovery, highlighting their translational potential beyond developmental biology. These organoids recapitulate key human kidney architectural features, including nephron-like structures with glomeruli and tubules, while exhibiting greater cellular heterogeneity than traditional two-dimensional cultures. They effectively model monogenic renal disorders including autosomal dominant polycystic kidney disease (ADPKD), congenital nephrotic syndrome, and Alport syndrome, as well as acquired conditions like acute kidney injury and drug-induced nephrotoxicity. Kidney organoids serve as predictive nephrotoxicity screening platforms, demonstrating dose- and time-dependent responses to cisplatin, tenofovir, and aristolochic acid. However, significant challenges persist, including insufficient vascularization, developmental immaturity, segmental bias, absent urinary drainage systems, and reproducibility variability. Emerging bioengineering strategies-including endothelial co-culture, microfluidic integration, and 3D bioprinting-aim to address these limitations. Integrating stem cell biology with engineering innovations and multi-omics technologies will be crucial for refining kidney organoids into scalable, reproducible models that faithfully recapitulate human kidney physiology and disease, ultimately enabling their translation into precision medicine applications.

Indexed as

Drug DiscoveryKidneyKidney DiseasesModels, BiologicalOrganoidsTranslational Research, BiomedicalAnimalsHumansDisease modelDrug screeningKidney organoidPluripotent stem cellRegenerative medicine

Identifiers

What Socratic holds

Textmetadata
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.