Evidence mapPaperPMID 41932339Full record

ArticleStem cell reports2026

Discovery of kidney disease targets using multimodal human podocyte injury models.

Amanda D Barreto, Bowen Jiang, Morgan A Burt, Nikolaos Dimitrakakis, Samira Musah

Abstract read
In one paragraph

Article in Stem cell reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing 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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Amanda D BarretoDepartment of Biomedical Engineering, Duke University, Durham, NC 27708, USA; Center for Biomolecular and Tissue Engineering, Duke University, Durham, NC 27708, USA.
Bowen JiangDepartment of Biomedical Engineering, Duke University, Durham, NC 27708, USA.
Morgan A BurtDepartment of Biomedical Engineering, Duke University, Durham, NC 27708, USA.
Nikolaos DimitrakakisWyss Institute for Biologically Inspired Engineering, Harvard University, Boston, NC 02215, USA.
Samira MusahDepartment of Biomedical Engineering, Duke University, Durham, NC 27708, USA; Center for Biomolecular and Tissue Engineering, Duke University, Durham, NC 27708, USA; Department of Medicine, Division of Nephrology, Duke University School of Medicine, Durham, NC 27710, USA; Department of Cell Biology, Duke University, Durham, NC 27710, USA; Developmental and Stem Cell Biology Program, Duke MEDx Investigator, Duke Regeneration Center, Integrated Toxicology and Environmental Health Program, Duke University, Durham, NC 27710, USA. Electronic address: samira.musah@duke.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Podocyte injury is a hallmark of chronic kidney disease (CKD) and organ failure, but whether different injury signals perturb unified or distinct molecular targets remains unclear. Using human induced pluripotent stem cell (hiPSC)-derived podocytes, we modeled cellular injury via exposure to diabetic, inflammatory, chemical toxin, biomechanical, and infectious stressors. Transcriptomic analysis revealed both shared and unique changes in gene expression across injury modes. While drug-induced injuries triggered broader transcriptional responses, conserved pathways related to lysosome function, RNA metabolism, and immune activation were identified across models. Importantly, we discovered NEU1, CD82, ABI3BP, and ADAM17 as targets of human podocyte injury. Analysis of multiple kidney disease patient biopsies confirmed enrichment of these targets, underscoring their in vivo relevance and potential as therapeutic targets. These findings highlight the predictive power of human-relevant experimental models and provide insight into podocyte injury responses, offering a framework for future precision medicine approaches.

Indexed as

Kidney DiseasesModels, BiologicalPodocytesGene Expression ProfilingHumansInduced Pluripotent Stem CellsTranscriptomehiPSC-derived podocyteshuman disease modelskidney diseasekidney injury modelnephrotoxicitypodocyte transcriptomicstherapeutic targets

Identifiers

PMID41932339
PMCPMC13083808

What Socratic holds

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Registered trials

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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.