Predictive Value of Precision-Cut Kidney Slices as an Ex Vivo Screening Platform for Therapeutics in Human Renal Fibrosis

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 o...

Full description

Bibliographic Details
Main Authors: Emilia Bigaeva, Nataly Puerta Cavanzo, Elisabeth G. D. Stribos, Amos J. de Jong, Carin Biel, Henricus A. M. Mutsaers, Michael S. Jensen, Rikke Nørregaard, Anna M. Leliveld, Igle J. de Jong, Jan-Luuk Hillebrands, Harry van Goor, Miriam Boersema, Ruud A. Bank, Peter Olinga
Format: Article
Language:English
Published: MDPI AG 2020-05-01
Series:Pharmaceutics
Subjects:
Online Access:https://www.mdpi.com/1999-4923/12/5/459
id doaj-88f984b7474147c889380ff361af2440
record_format Article
spelling doaj-88f984b7474147c889380ff361af24402020-11-25T03:02:08ZengMDPI AGPharmaceutics1999-49232020-05-011245945910.3390/pharmaceutics12050459Predictive Value of Precision-Cut Kidney Slices as an Ex Vivo Screening Platform for Therapeutics in Human Renal FibrosisEmilia Bigaeva0Nataly Puerta Cavanzo1Elisabeth G. D. Stribos2Amos J. de Jong3Carin Biel4Henricus A. M. Mutsaers5Michael S. Jensen6Rikke Nørregaard7Anna M. Leliveld8Igle J. de Jong9Jan-Luuk Hillebrands10Harry van Goor11Miriam Boersema12Ruud A. Bank13Peter Olinga14Department of Pharmaceutical Technology and Biopharmacy, University of Groningen, Groningen Research Institute of Pharmacy, 9713 AV Groningen, The NetherlandsDepartment of Pharmaceutical Technology and Biopharmacy, University of Groningen, Groningen Research Institute of Pharmacy, 9713 AV Groningen, The NetherlandsDepartment of Pharmaceutical Technology and Biopharmacy, University of Groningen, Groningen Research Institute of Pharmacy, 9713 AV Groningen, The NetherlandsDepartment of Pharmaceutical Technology and Biopharmacy, University of Groningen, Groningen Research Institute of Pharmacy, 9713 AV Groningen, The NetherlandsDepartment of Pharmaceutical Technology and Biopharmacy, University of Groningen, Groningen Research Institute of Pharmacy, 9713 AV Groningen, The NetherlandsDepartment of Pharmaceutical Technology and Biopharmacy, University of Groningen, Groningen Research Institute of Pharmacy, 9713 AV Groningen, The NetherlandsDepartment of Clinical Medicine, Aarhus University, 8200 Aarhus N, DenmarkDepartment of Clinical Medicine, Aarhus University, 8200 Aarhus N, DenmarkDepartment of Urology, University of Groningen, University Medical Center Groningen, 9713 GZ Groningen, The NetherlandsDepartment of Urology, University of Groningen, University Medical Center Groningen, 9713 GZ Groningen, The NetherlandsDepartment of Pathology and Medical Biology, University of Groningen, University Medical Center Groningen, 9713 GZ Groningen, The NetherlandsDepartment of Pathology and Medical Biology, University of Groningen, University Medical Center Groningen, 9713 GZ Groningen, The NetherlandsDepartment of Pharmaceutical Technology and Biopharmacy, University of Groningen, Groningen Research Institute of Pharmacy, 9713 AV Groningen, The NetherlandsDepartment of Pathology and Medical Biology, University of Groningen, University Medical Center Groningen, 9713 GZ Groningen, The NetherlandsDepartment of Pharmaceutical Technology and Biopharmacy, University of Groningen, Groningen Research Institute of Pharmacy, 9713 AV Groningen, The NetherlandsAnimal 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 TGFβ 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 TGFβ 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.https://www.mdpi.com/1999-4923/12/5/459renal fibrosisprecision-cut kidney slicesantifibrotic drugspirfenidonegalunisertibimatinib
collection DOAJ
language English
format Article
sources DOAJ
author Emilia Bigaeva
Nataly Puerta Cavanzo
Elisabeth G. D. Stribos
Amos J. de Jong
Carin Biel
Henricus A. M. Mutsaers
Michael S. Jensen
Rikke Nørregaard
Anna M. Leliveld
Igle J. de Jong
Jan-Luuk Hillebrands
Harry van Goor
Miriam Boersema
Ruud A. Bank
Peter Olinga
spellingShingle Emilia Bigaeva
Nataly Puerta Cavanzo
Elisabeth G. D. Stribos
Amos J. de Jong
Carin Biel
Henricus A. M. Mutsaers
Michael S. Jensen
Rikke Nørregaard
Anna M. Leliveld
Igle J. de Jong
Jan-Luuk Hillebrands
Harry van Goor
Miriam Boersema
Ruud A. Bank
Peter Olinga
Predictive Value of Precision-Cut Kidney Slices as an Ex Vivo Screening Platform for Therapeutics in Human Renal Fibrosis
Pharmaceutics
renal fibrosis
precision-cut kidney slices
antifibrotic drugs
pirfenidone
galunisertib
imatinib
author_facet Emilia Bigaeva
Nataly Puerta Cavanzo
Elisabeth G. D. Stribos
Amos J. de Jong
Carin Biel
Henricus A. M. Mutsaers
Michael S. Jensen
Rikke Nørregaard
Anna M. Leliveld
Igle J. de Jong
Jan-Luuk Hillebrands
Harry van Goor
Miriam Boersema
Ruud A. Bank
Peter Olinga
author_sort Emilia Bigaeva
title Predictive Value of Precision-Cut Kidney Slices as an Ex Vivo Screening Platform for Therapeutics in Human Renal Fibrosis
title_short Predictive Value of Precision-Cut Kidney Slices as an Ex Vivo Screening Platform for Therapeutics in Human Renal Fibrosis
title_full Predictive Value of Precision-Cut Kidney Slices as an Ex Vivo Screening Platform for Therapeutics in Human Renal Fibrosis
title_fullStr Predictive Value of Precision-Cut Kidney Slices as an Ex Vivo Screening Platform for Therapeutics in Human Renal Fibrosis
title_full_unstemmed Predictive Value of Precision-Cut Kidney Slices as an Ex Vivo Screening Platform for Therapeutics in Human Renal Fibrosis
title_sort predictive value of precision-cut kidney slices as an ex vivo screening platform for therapeutics in human renal fibrosis
publisher MDPI AG
series Pharmaceutics
issn 1999-4923
publishDate 2020-05-01
description 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 TGFβ 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 TGFβ 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.
topic renal fibrosis
precision-cut kidney slices
antifibrotic drugs
pirfenidone
galunisertib
imatinib
url https://www.mdpi.com/1999-4923/12/5/459
work_keys_str_mv AT emiliabigaeva predictivevalueofprecisioncutkidneyslicesasanexvivoscreeningplatformfortherapeuticsinhumanrenalfibrosis
AT natalypuertacavanzo predictivevalueofprecisioncutkidneyslicesasanexvivoscreeningplatformfortherapeuticsinhumanrenalfibrosis
AT elisabethgdstribos predictivevalueofprecisioncutkidneyslicesasanexvivoscreeningplatformfortherapeuticsinhumanrenalfibrosis
AT amosjdejong predictivevalueofprecisioncutkidneyslicesasanexvivoscreeningplatformfortherapeuticsinhumanrenalfibrosis
AT carinbiel predictivevalueofprecisioncutkidneyslicesasanexvivoscreeningplatformfortherapeuticsinhumanrenalfibrosis
AT henricusammutsaers predictivevalueofprecisioncutkidneyslicesasanexvivoscreeningplatformfortherapeuticsinhumanrenalfibrosis
AT michaelsjensen predictivevalueofprecisioncutkidneyslicesasanexvivoscreeningplatformfortherapeuticsinhumanrenalfibrosis
AT rikkenørregaard predictivevalueofprecisioncutkidneyslicesasanexvivoscreeningplatformfortherapeuticsinhumanrenalfibrosis
AT annamleliveld predictivevalueofprecisioncutkidneyslicesasanexvivoscreeningplatformfortherapeuticsinhumanrenalfibrosis
AT iglejdejong predictivevalueofprecisioncutkidneyslicesasanexvivoscreeningplatformfortherapeuticsinhumanrenalfibrosis
AT janluukhillebrands predictivevalueofprecisioncutkidneyslicesasanexvivoscreeningplatformfortherapeuticsinhumanrenalfibrosis
AT harryvangoor predictivevalueofprecisioncutkidneyslicesasanexvivoscreeningplatformfortherapeuticsinhumanrenalfibrosis
AT miriamboersema predictivevalueofprecisioncutkidneyslicesasanexvivoscreeningplatformfortherapeuticsinhumanrenalfibrosis
AT ruudabank predictivevalueofprecisioncutkidneyslicesasanexvivoscreeningplatformfortherapeuticsinhumanrenalfibrosis
AT peterolinga predictivevalueofprecisioncutkidneyslicesasanexvivoscreeningplatformfortherapeuticsinhumanrenalfibrosis
_version_ 1724691226384400384