ReviewCells2021
Urine-Derived Epithelial Cells as Models for Genetic Kidney Diseases.
Review in Cells, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
What it found
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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.
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.
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Who cites it
16 citing papers in PubMed, 25 citations in OpenAlex.
- Exfoliated kidney cells from urine for non-invasive kidney transplant monitoring: A potential opportunity?Clinical and experimental nephrology · 2026Review
- Personalized Models of Biological Barriers and Their Diseases: Recent Progress with Organs-On-Chips.Advanced biology · 2026Review
- APOL1-mediated kidney disease: a narrative review of the lessons learnt from the past 15 years.BMC nephrology · 2025Review
- Hair follicle gene expression profiling in the SubPopulations and InteRmediate Outcome Measures in COPD Study (SPIROMICS).BMC medical genomics · 2025Article
- Modelling APOL1-mediated kidney inflammation and fibrosis using a partially reprogrammed urine-derived SIX2-positive renal progenitor cell line.Stem cell research & therapy · 2025Article
- Urine-derived renal tubular epithelial cells resemble functional characteristics of professional antigen-presenting cells and can directly induce BKV-specific T cell responses.Journal of nephrology · 2025Article
- Use of patient-derived cell models for characterization of compound heterozygous hypomorphic C2CD3 variants in a patient with isolated nephronophthisis.Human molecular genetics · 2025Article
- Development and Internal Validation of a Clinical Prediction Model for Refeeding Syndrome in Adult Intensive Care Unit Patients: A Retrospective Observational Study.International journal of general medicine · 2025Article
- Article
- Advances and potential of regenerative medicine in pediatric nephrology.Pediatric nephrology (Berlin, Germany) · 2024Review
- Evaluation of noninvasive biospecimens for transcriptome studies.BMC genomics · 2023Article
- Ion channels and channelopathies in glomeruli.Physiological reviews · 2023Review
- Live births from urine derived cells.PloS one · 2023Article
- Organs-on-chip technology: a tool to tackle genetic kidney diseases.Pediatric nephrology (Berlin, Germany) · 2022Review
- Exfoliated Kidney Cells from Urine for Early Diagnosis and Prognostication of CKD: The Way of the Future?International journal of molecular sciences · 2022Review
- Article
Corrections and comments
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Authors and funding
7 authors at 3 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Epithelial cells exfoliated in human urine can include cells anywhere from the urinary tract and kidneys; however, podocytes and proximal tubular epithelial cells (PTECs) are by far the most relevant cell types for the study of genetic kidney diseases. When maintained in vitro, they have been proven extremely valuable for discovering disease mechanisms and for the development of new therapies. Furthermore, cultured patient cells can individually represent their human sources and their specific variants for personalized medicine studies, which are recently gaining much interest. In this review, we summarize the methodology for establishing human podocyte and PTEC cell lines from urine and highlight their importance as kidney disease cell models. We explore the well-established and recent techniques of cell isolation, quantification, immortalization and characterization, and we describe their current and future applications.
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Registered trials
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.