TY - JOUR
T1 - A systematic review of in vitro models of drug-induced kidney injury
AU - Irvine, Alasdair R.
AU - van Berlo, Damiën
AU - Shekhani, Rawan
AU - Masereeuw, Rosalinde
N1 - Funding Information:
This work was supported by Utrecht advanced in vitro models hub (U-AIM), H2020-MSCA-COFUND-2017-801540 RESCUE COFUND and by ONTOX, grant number 963845 of the European Commission under the Horizon2020 research and innovation framework programme .
Funding Information:
R.M. reports financial support was provided by Utrecht University, by H2020-MSCA-COFUND-2017-801540 RESCUE COFUND and by ONTOX, grant number 963845 of the European Commission under the Horizon2020 research and innovation framework programme.
Funding Information:
R.M. reports financial support was provided by Utrecht University, by H2020-MSCA-COFUND-2017-801540 RESCUE COFUND and by ONTOX, grant number 963845 of the European Commission under the Horizon2020 research and innovation framework programme.This work was supported by Utrecht advanced in vitro models hub (U-AIM), H2020-MSCA-COFUND-2017-801540 RESCUE COFUND and by ONTOX, grant number 963845 of the European Commission under the Horizon2020 research and innovation framework programme.
Publisher Copyright:
© 2021 The Authors
PY - 2021/9
Y1 - 2021/9
N2 - Drug-induced nephrotoxicity is a major cause of kidney dysfunction with potentially fatal consequences and can hamper the research and development of new pharmaceuticals. This emphasises the need for new methods for earlier and more accurate diagnosis to avoid drug-induced kidney injury. Here, we present a systematic review of the available approaches to study drug-induced kidney injury, as one of the most common reasons for drug withdrawal, in vitro. The systematic review approach was selected to ensure that our findings are as objective and reproducible as possible. A novel study quality checklist, named validation score, was developed based on published regulatory guidance and industrial perspectives, and models returned by the search strategy were analysed as per their overall complexity and the kidney region studied. Our search strategy returned 1731 articles supplemented by 337 from secondary sources, of which 57 articles met the inclusion criteria for final analysis. Our results show that the proximal tubule dominates the field (84%), followed by the glomerulus and Bowman's capsule (7%). Of all drugs investigated, the focus was most on cisplatin (n = 29, 50.1% of final inclusions). We found that with increasing model complexity the validation score increased, reflecting the value of innovative in vitro models. Furthermore, although the highly diverse usage of cell lines and modelling approaches prevented a strong statistical verification through a meta-analysis, our findings show the downstream potential of such approaches in personalised medicine and for rare diseases where traditional trials are not feasible.
AB - Drug-induced nephrotoxicity is a major cause of kidney dysfunction with potentially fatal consequences and can hamper the research and development of new pharmaceuticals. This emphasises the need for new methods for earlier and more accurate diagnosis to avoid drug-induced kidney injury. Here, we present a systematic review of the available approaches to study drug-induced kidney injury, as one of the most common reasons for drug withdrawal, in vitro. The systematic review approach was selected to ensure that our findings are as objective and reproducible as possible. A novel study quality checklist, named validation score, was developed based on published regulatory guidance and industrial perspectives, and models returned by the search strategy were analysed as per their overall complexity and the kidney region studied. Our search strategy returned 1731 articles supplemented by 337 from secondary sources, of which 57 articles met the inclusion criteria for final analysis. Our results show that the proximal tubule dominates the field (84%), followed by the glomerulus and Bowman's capsule (7%). Of all drugs investigated, the focus was most on cisplatin (n = 29, 50.1% of final inclusions). We found that with increasing model complexity the validation score increased, reflecting the value of innovative in vitro models. Furthermore, although the highly diverse usage of cell lines and modelling approaches prevented a strong statistical verification through a meta-analysis, our findings show the downstream potential of such approaches in personalised medicine and for rare diseases where traditional trials are not feasible.
KW - Drug-Induced kidney Injury (DIKI)
KW - In vitro models
KW - Nephrotoxicity
KW - Systematic review
KW - Toxicity testing
KW - Validation strategies
UR - http://www.scopus.com/inward/record.url?scp=85111269042&partnerID=8YFLogxK
U2 - 10.1016/j.cotox.2021.06.001
DO - 10.1016/j.cotox.2021.06.001
M3 - Review article
AN - SCOPUS:85111269042
SN - 2468-2020
VL - 27
SP - 18
EP - 26
JO - Current Opinion in Toxicology
JF - Current Opinion in Toxicology
ER -