Evidence map›Paper›PMID 40605638›Full record

ArticleAdvanced healthcare materials2025

Biofabrication of a Filtration Barrier by Integrating Electrospun Membranes and Flow in a Glomerular Co-Culture.

Camilla Mussoni, Anna Rederer, Vladimir Stepanenko, Frank Würthner, Philipp Stahlhut, Jürgen Groll, Mario Schiffer, Taufiq Ahmad, Janina Müller-Deile

Abstract read
In one paragraph

Article in Advanced healthcare materials, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
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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

9 authors.

Camilla MussoniDepartment of Functional Materials in Medicine and Dentistry, Institute of Functional Materials and Biofabrication (IFB), and Bavarian Polymer Institute (BPI), Julius-Maximilians-Universität Würzburg, D-97070, Würzburg, Germany.ORCID https://orcid.org/0009-0001-4878-4604
Anna RedererDepartment of Nephrology, Medizinische Klinik 4, Uniklinikum Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg, 91054, Erlangen, Germany.ORCID https://orcid.org/0009-0005-4374-9278
Vladimir StepanenkoInstitut für Organische Chemie, Center for Nanosystems Chemistry (CNC), Julius-Maximilians-Universität Würzburg, 97074, Würzburg, Germany.ORCID https://orcid.org/0000-0001-7994-823X
Frank WürthnerInstitut für Organische Chemie, Center for Nanosystems Chemistry (CNC), Julius-Maximilians-Universität Würzburg, 97074, Würzburg, Germany.ORCID https://orcid.org/0000-0001-7245-0471
Philipp StahlhutDepartment of Functional Materials in Medicine and Dentistry, Institute of Functional Materials and Biofabrication (IFB), and Bavarian Polymer Institute (BPI), Julius-Maximilians-Universität Würzburg, D-97070, Würzburg, Germany.
Jürgen GrollDepartment of Functional Materials in Medicine and Dentistry, Institute of Functional Materials and Biofabrication (IFB), and Bavarian Polymer Institute (BPI), Julius-Maximilians-Universität Würzburg, D-97070, Würzburg, Germany.ORCID https://orcid.org/0000-0003-3167-8466
Mario SchifferDepartment of Nephrology, Medizinische Klinik 4, Uniklinikum Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg, 91054, Erlangen, Germany.
Taufiq AhmadDepartment of Functional Materials in Medicine and Dentistry, Institute of Functional Materials and Biofabrication (IFB), and Bavarian Polymer Institute (BPI), Julius-Maximilians-Universität Würzburg, D-97070, Würzburg, Germany.ORCID https://orcid.org/0000-0001-8435-4962
Janina Müller-DeileDepartment of Nephrology, Medizinische Klinik 4, Uniklinikum Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg, 91054, Erlangen, Germany.ORCID https://orcid.org/0000-0001-6081-5664

Funding

Bundesministerium für Bildung und Forschung (BMBF) 01GM2202DGerman Research Foundation 326998133
6 · The paper itself

Abstract

The glomerular filtration barrier (GFB), composed of glomerular endothelial cells, podocytes, and the glomerular basement membrane (GBM), is essential for selective filtration in the kidney. Damage to any GFB component results in proteinuria and kidney failure. To model glomerular pathophysiology and test therapies, this study introduces an ex vivo GFB model using electrospun poly-L-lactic acid fibers that mimic the GBM. The fibers are functionalized with polydopamine and gelatin, then seeded with human glomerular endothelial cells and podocytes on opposite sides. This biomimetic setup supports monolayer formation, cell-type-specific marker expression, and appropriate morphology of both cell types, including those derived from human induced pluripotent stem cells (hiPSCs). The model demonstrates bidirectional cell-cell communication across the membrane. Permeability assays confirm size-selective dextran filtration. Under flow conditions in a custom 3D-printed micro-bioreactor, endothelial cells develop fenestrae-like structures, whereas podocytes form foot process-like extension features, which are often lacking in static in vitro systems. This platform replicates critical features of the native GFB and provides a robust system for studying glomerular function, disease mechanisms, and therapeutic responses. Moreover, incorporating hiPSC-derived podocytes enables exploration of patient-specific mutations and personalized treatment strategies in kidney disease.

Indexed as

Glomerular Filtration BarrierKidney GlomerulusMembranes, ArtificialCoculture TechniquesEndothelial CellsHumansIndolesInduced Pluripotent Stem CellsPodocytesPolyestersPolymersIndolesMembranes, ArtificialpolydopaminePolyesterspoly(lactide)Polymersbiofabricationbioreactorselectrospinningfenestraeglomerular endothelial cellsglomerular filtration barrierhiPSC‐derived podocytes

Identifiers

PMID40605638
PMCPMC12417763

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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 OpenQuestion graph.