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  4. Recellularization of Scaffolds derived from precision-cut kidney slices
 
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September 10, 2025
Journal Article
Title

Recellularization of Scaffolds derived from precision-cut kidney slices

Abstract
The global rise in chronic kidney disease necessitates innovative solutions for end-stage renal disease that can help to overcome the limitations of the only available treatment options, transplantation and dialysis. Tissue engineering presents a promising alternative, leveraging decellularized scaffolds to retain the extracellular matrix (ECM). However, optimizing methods for decellularization and recellularization remains a challenge. Here we present novel work which builds on our previous study where we investigated several decellularization protocols. In this study we analyzed the suitability of decellularized scaffolds for recellularization. Precision-cut kidney slices (PCKS) were utilized decellularization in chemicals (CHEM-Imm). Physical pretreatments included high hydrostatic pressure (HHP-Imm) or freezing-thawing cycles (FTC-Imm). Scaffolds were recellularized, with human renal proximal tubular epithelial cells (RPTEC/TERT1). All scaffolds showed cell growth over the 7-day incubation period. Nota-bly, FTC-Imm demonstrated the highest expression of the tight junction protein zonula-occludens-1 (ZO-1). Moreover, as the native kidney is composed of up to 30 different cell types, we utilized arti-ficial neural networks (ANN) to investigate the distribution and attachment patterns of RPT-EC/TERT1 cells to determine if decellularized scaffolds retain cell specific attachment sites. It was revealed that, at least 97% of RPTEC/TERT1 cells were attached outside the Bowman capsules, potentially showing a clear tendency to attach to their original tubular sites. This suggests that the ECM retains instructive cues guiding the migration and attachment of the cells. Overall, our scoring system identified FTC-Imm as the most effective method.
Author(s)
Salti, Haitham
Fraunhofer-Institut für Zelltherapie und Immunologie IZI  
Nelz, Sophie-Charlotte
Universitätsmedizin Rostock
Lichtwark, Sarina
Fraunhofer-Institut für Zelltherapie und Immunologie IZI  
Pohl, Christopher
Universitätsmedizin Greifswald
Kramer, Lea
Fraunhofer-Institut für Zelltherapie und Immunologie IZI  
Lorenz, Mathias
Universität Wismar
Lemcke, Heiko
Universitätsmedizin Rostock
Doß, Sandra  
Fraunhofer-Institut für Zelltherapie und Immunologie IZI  
Mitzner, Steffen  
Universitätsmedizin Rostock
Wasserkort, Reinhold  
Fraunhofer-Institut für Zelltherapie und Immunologie IZI  
Journal
Biomedical materials  
Open Access
DOI
10.1088/1748-605X/ae05a4
Additional link
Landing Page
Language
English
Fraunhofer-Institut für Zelltherapie und Immunologie IZI  
Keyword(s)
  • Artifical neural networks

  • Decellularization

  • Extracellular matrix

  • Kidney

  • RPTEC/TERT1 cells

  • Recellularization

  • Scoring system

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