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Predictive Value of Precision-Cut Kidney Slices as an Ex Vivo Screening Platform for Therapeutics in Human Renal Fibrosis.
Bigaeva, Emilia; Puerta Cavanzo, Nataly; Stribos, Elisabeth G D; de Jong, Amos J; Biel, Carin; Mutsaers, Henricus A M; Jensen, Michael S; Nørregaard, Rikke; Leliveld, Anna M; de Jong, Igle J; Hillebrands, Jan-Luuk; van Goor, Harry; Boersema, Miriam; Bank, Ruud A; Olinga, Peter.
Afiliación
  • Bigaeva E; Department of Pharmaceutical Technology and Biopharmacy, University of Groningen, Groningen Research Institute of Pharmacy, 9713 AV Groningen, The Netherlands.
  • Puerta Cavanzo N; Department of Pharmaceutical Technology and Biopharmacy, University of Groningen, Groningen Research Institute of Pharmacy, 9713 AV Groningen, The Netherlands.
  • Stribos EGD; Department of Pathology and Medical Biology, University of Groningen, University Medical Center Groningen, 9713 GZ Groningen, The Netherlands.
  • de Jong AJ; Department of Pharmaceutical Technology and Biopharmacy, University of Groningen, Groningen Research Institute of Pharmacy, 9713 AV Groningen, The Netherlands.
  • Biel C; Department of Internal Medicine, Division of Nephrology, University of Groningen, University Medical Center Groningen, 9713 GZ Groningen, The Netherlands.
  • Mutsaers HAM; Department of Pharmaceutical Technology and Biopharmacy, University of Groningen, Groningen Research Institute of Pharmacy, 9713 AV Groningen, The Netherlands.
  • Jensen MS; Department of Pharmaceutical Technology and Biopharmacy, University of Groningen, Groningen Research Institute of Pharmacy, 9713 AV Groningen, The Netherlands.
  • Nørregaard R; Department of Pharmaceutical Technology and Biopharmacy, University of Groningen, Groningen Research Institute of Pharmacy, 9713 AV Groningen, The Netherlands.
  • Leliveld AM; Department of Clinical Medicine, Aarhus University, 8200 Aarhus N, Denmark.
  • de Jong IJ; Department of Clinical Medicine, Aarhus University, 8200 Aarhus N, Denmark.
  • Hillebrands JL; Department of Clinical Medicine, Aarhus University, 8200 Aarhus N, Denmark.
  • van Goor H; Department of Urology, University of Groningen, University Medical Center Groningen, 9713 GZ Groningen, The Netherlands.
  • Boersema M; Department of Urology, University of Groningen, University Medical Center Groningen, 9713 GZ Groningen, The Netherlands.
  • Bank RA; Department of Pathology and Medical Biology, University of Groningen, University Medical Center Groningen, 9713 GZ Groningen, The Netherlands.
  • Olinga P; Department of Pathology and Medical Biology, University of Groningen, University Medical Center Groningen, 9713 GZ Groningen, The Netherlands.
Pharmaceutics ; 12(5)2020 May 18.
Article en En | MEDLINE | ID: mdl-32443499
Animal models are a valuable tool in preclinical research. However, limited predictivity of human biological responses in the conventional models has stimulated the search for reliable preclinical tools that show translational robustness. Here, we used precision-cut kidney slices (PCKS) as a model of renal fibrosis and investigated its predictive capacity for screening the effects of anti-fibrotics. Murine and human PCKS were exposed to TGFß or PDGF pathway inhibitors with established anti-fibrotic efficacy. For each treatment modality, we evaluated whether it affected: (1) culture-induced collagen type I gene expression and interstitial accumulation; (2) expression of markers of TGFß and PDGF signaling; and (3) expression of inflammatory markers. We summarized the outcomes of published in vivo animal and human studies testing the three inhibitors in renal fibrosis, and drew a parallel to the PCKS data. We showed that the responses of murine PCKS to anti-fibrotics highly corresponded with the known in vivo responses observed in various animal models of renal fibrosis. Moreover, our results suggested that human PCKS can be used to predict drug efficacy in clinical trials. In conclusion, our study demonstrated that the PCKS model is a powerful predictive tool for ex vivo screening of putative drugs for renal fibrosis.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Diagnostic_studies / Prognostic_studies / Risk_factors_studies / Screening_studies Idioma: En Revista: Pharmaceutics Año: 2020 Tipo del documento: Article País de afiliación: Países Bajos Pais de publicación: Suiza

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Diagnostic_studies / Prognostic_studies / Risk_factors_studies / Screening_studies Idioma: En Revista: Pharmaceutics Año: 2020 Tipo del documento: Article País de afiliación: Países Bajos Pais de publicación: Suiza