EDITORIAL article

Front. Pharmacol., 02 May 2023

Sec. Predictive Toxicology

Volume 14 - 2023 | https://doi.org/10.3389/fphar.2023.1205945

Editorial: Model organisms in predictive toxicology 2022

  • 1. Department of Integrative Pharmacology, Mie University Graduate School of Medicine, Tsu, Mie, Japan

  • 2. Department of Biosciences, University of Exeter, Exeter, United Kingdom

  • 3. Mammalian Embryology, Department of Life Science, Faculty of Science and Engineering, Kindai University, Higashiosaka, Osaka, Japan

Various chemicals, including pharmaceuticals, pesticides, microparticles, and heavy metals, are persistent in the environment (). Predicting the toxicities of these chemicals is critical for human health and assessment of environmental risk (; ). Next-generation technologies have developed novel in silico and in vitro approaches for risk assessments (; ). However, in vivo phenotypic assessments using model organisms, including fishes, rodents, and monkeys, are still indispensable for predicting toxicology and elucidating adverse outcome pathways (; ; ; ; ; ).

Wang et al. demonstrated that ibrutinib, a clinical drug used in patients with B-cell malignancies, caused impairment of vascular development in zebrafish larvae. It reduced the proliferation and increased the apoptosis of vascular endothelial cells in zebrafish larvae. Additionally, ibrutinib decreased the expression of vascular endothelial cell growth factor receptors, which may have a possible role in the impairment of vascular development. Although ibrutinib has been used as a selective inhibitor of Bruton’s kinase (BTK), its toxicological effect on vascular development may not be mediated via the inhibition of BTK, since vascular development is not impaired by other BTK inhibitors or knockdown of BTK in zebrafish. Furthermore, zebrafish has also been used to develop selective BTK inhibitors ().

Komoike et al. showed that exposure of zebrafish embryos from 6 to 72 h post fertilization (hpf) stage to lead (Pb) at 100 ppb, which is below the occupational regulatory standard concentrations, increased the expression of oxidative stress related genes at 72 hpf. This resulted in edema and inflation defects in the swim bladder at 7 days post fertilization. These results corroborated with those of previous studies (; ), thereby, suggesting that zebrafish are useful for investigating the adverse developmental effects of trace pollutants such as Pb. As Pb easily binds to oxygen and sulfur atoms in proteins to form a stable complex and accumulates in the zebrafish body, the developmental effects of Pb at concentrations lower than 100 ppm need to be analyzed.

Using rainbow trout, Mallik et al. performed a pharmacokinetic analysis and biosafety evaluation of florfenicol, a synthetic veterinary antimicrobial agent approved by the Food and Agriculture Organization. Florfenicol has been widely used in veterinary medicine to treat and prevent diseases, and residues in food from animals treated with florfenicol can adversely affect human health (). In Atlantic salmon aquaculture, florfenicol is typically administered at 10 mg/kg body weight for 10 consecutive days (). Mallik et al. analyzed the pharmacokinetics and biosafety of rainbow trout treated with various doses of florfenicol and recommended the use of 10 mg/kg body weight. Further in vivo studies are required to determine the dose of veterinary antimicrobial substances that have positive effects on animals but no adverse effects on both animals and humans who consume food products from the animals.

The antioxidant system plays a critical role in the body’s response to chemical exposure (). Nuclear factor erythroid 2-related factor 2 (Nrf2) is a key transcription factor that regulates antioxidant genes (). Mice have been successfully used in studies to analyze the role of Nrf2 in regard to the toxicity of many chemicals ().

Wang et al. examined the role of Nrf2 in the nephrotoxicity of colistin, an antibiotic known as polymyxin E. Although colistin is effective against multidrug-resistant gram-negative bacteria, its nephrotoxicity limits its use (; ). Using mice, Wang et al. revealed that colistin-induced nephrotoxicity via suppression of Nrf2 was mediated by the activation of histone deacetylase 1 (Hdac1). Furthermore, co-treatment with 7-hydroxycoumarin ameliorated colistin-induced nephrotoxicity via the inhibition of Hdac1 activity. However, the mechanisms by which colistin and 7-hydroxycoumarin regulate Hdac1 warrant further investigation.

Ding et al. analyzed the role of Nrf2 in lung damage in mice exposed to ambient fine particulate matter (PM2.5) and found that lung damage was ameliorated in Nrf2 knockout mice. In the study, it was demonstrated that endoplasmic reticulum stress caused by exposure to PM2.5, was decreased in Nrf2 knockout mice, possibly through the suppression of Cyp2e1. The role of Nrf2 in chemical exposure and disease varies depending on the context (; ). Further studies are required to elucidate the molecular mechanisms underlying the context-dependent roles of Nrf2.

Assessment of drug-induced QT interval prolongation is a critical step in drug development (). Monkeys have been widely used to assess drug-induced QT interval prolongation because they are more sensitive than dogs in this assessment, and the concentration-QT relationship is transferable to humans (; ). Izumi-Nakaseko et al. analyzed the effect of atrioventricular block on dl-sotalol-induced QT interval prolongation. They revealed that monkeys with chronic atrioventricular block could be used as a proarrhythmic model to detect drug-induced QT interval prolongation, although it takes several months to complete pathological remodeling after the onset of atrioventricular block in monkeys.

The integration of in vivo, in vitro, and in silico models with new methodologies is fundamental for accurately predicting chemical toxicity (). Considering the different physiology, body size and sensitivities to different toxicants, it is important to investigate chemical toxicities using a variety of model organisms. Therefore, the development of novel approaches to predict toxicology using model organisms warrants further investigation.

Statements

Author contributions

All authors listed have made a substantial, direct, and intellectual contribution to the work and approved it for publication.

Conflict of interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher’s note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

References

  • 1

    AlsakranA.KudohT. (2021). Zebrafish as a model for fetal alcohol spectrum disorders. Front. Pharmacol.12, 721924. English. 10.3389/fphar.2021.721924

  • 2

    BellezzaI.GiambancoI.MinelliA.DonatoR. (2018). Nrf2-Keap1 signaling in oxidative and reductive stress. Biochim. Biophys. Acta Mol. Cell Res.1865(5), 721733. eng. Epub 2018/03/03. 10.1016/j.bbamcr.2018.02.010

  • 3

    BrackW.Barcelo CulleresD.BoxallA. B. A.BudzinskiH.CastiglioniS.CovaciA.et al (2022). One planet: One health. A call to support the initiative on a global science–policy body on chemicals and waste. Environ. Sci. Eur.34 (1), 21. 10.1186/s12302-022-00602-6

  • 4

    CavasottoC. N.ScardinoV. (2022). Machine learning toxicity prediction: Latest advances by toxicity end point. ACS Omega7 (51), 4753647546. 10.1021/acsomega.2c05693

  • 5

    CherylE. R.YiningJ.AllisonP. B.LucaM. K.SaameraA. (2021). The complicated role of Nrf2 in allergy and asthma. Drug Metabolism Dispos.2021, 000414. 10.1124/dmd.121.000414

  • 6

    DonovanK. A.AnJ.NowakR. P.YuanJ. C.FinkE. C.BerryB. C.et al (2018). Thalidomide promotes degradation of SALL4, a transcription factor implicated in Duane Radial Ray syndrome. eLife7, e38430. 10.7554/eLife.38430

  • 7

    DuboisV. F.de WitteW. E.VisserS. A.DanhofM.Della PasquaO.Cardiovascular Safety Project Teamet al (2016). Assessment of interspecies differences in drug-induced QTc interval prolongation in cynomolgus monkeys, dogs and humans. Pharm. Res.33(1), 4051. eng. Epub 2015/11/11. 10.1007/s11095-015-1760-9

  • 8

    Espinosa-DiezC.MiguelV.MennerichD.KietzmannT.Sánchez-PérezP.CadenasS.et al (2015). Antioxidant responses and cellular adjustments to oxidative stress. Redox Biol.6, 183197. eng. Epub 2015/08/04. 10.1016/j.redox.2015.07.008

  • 9

    GuidiL. R.TetteP. A.FernandesC.SilvaL. H.GloriaM. B. (2017). Advances on the chromatographic determination of amphenicols in food. Talanta162, 324338. eng. Epub 2016/11/14. 10.1016/j.talanta.2016.09.068

  • 10

    HoffmannS.MariglianiB.Akgün-ÖlmezS. G.IrelandD.CruzR.BusquetF.et al (2021). A systematic review to compare chemical hazard predictions of the zebrafish embryotoxicity test with mammalian prenatal developmental toxicity. Toxicol. Sci.183 (1), 1435. eng. Epub 2021/06/11. 10.1093/toxsci/kfab072

  • 11

    HolzgrefeH.FerberG.ChamperouxP.GillM.HondaM.Greiter-WilkeA.et al (2014). Preclinical QT safety assessment: Cross-species comparisons and human translation from an industry consortium. J. Pharmacol. Toxicol. Methods69(1), 61101. eng. Epub 2013/05/22. 10.1016/j.vascn.2013.05.004

  • 12

    HorsbergT. E.HoffK. A.NordmoR. (1996). Pharmacokinetics of florfenicol and its metabolite florfenicol amine in atlantic salmon. J. Aquatic Animal Health8 (4), 292301. 10.1577/1548-8667(1996)008<0292:POFAIM>2.3.CO;2

  • 13

    JeongJ.KimD.ChoiJ. (2022). Application of ToxCast/Tox21 data for toxicity mechanism-based evaluation and prioritization of environmental chemicals: Perspective and limitations. Toxicol. vitro Int. J. Publ. Assoc. BIBRA84, 105451. 10.1016/j.tiv.2022.105451

  • 14

    KhabibM. N. H.SivasankuY.LeeH. B.KumarS.KueC. S. (2022). Alternative animal models in predictive toxicology. Toxicology465, 153053. 10.1016/j.tox.2021.153053

  • 15

    KnudsenT. B.FitzpatrickS. C.De AbrewK. N.BirnbaumL. S.ChappelleA.DastonG. P.et al (2021). FutureTox IV workshop summary: Predictive toxicology for healthy children. Toxicol. Sci.180 (2), 198211. 10.1093/toxsci/kfab013

  • 16

    KomadaM.HaraN.KawachiS.KawachiK.KagawaN.NagaoT.et al (2017). Mechanisms underlying neuro-inflammation and neurodevelopmental toxicity in the mouse neocortex following prenatal exposure to ethanol. Sci. Rep.7 (1), 4934. Cited in: Pubmed; PMID 28694481. 10.1038/s41598-017-04289-1

  • 17

    KomatsuR.MizunoH.IshizakaT.ItoA.JikuzonoT.KakoiT.et al (2019). Exposure-response analysis of drug-induced QT interval prolongation in telemetered monkeys for translational prediction to human. J. Pharmacol. Toxicol. Methods99, 106606. 10.1016/j.vascn.2019.106606

  • 18

    MenegonS.ColumbanoA.GiordanoS. (2016). The dual roles of NRF2 in cancer. Trends Mol. Med.22(7), 578593. eng. Epub 2016/06/07. 10.1016/j.molmed.2016.05.00

  • 19

    MichelangeliM.MartinJ. M.Pinter-WollmanN.IoannouC. C.McCallumE. S.BertramM. G.et al (2022). Predicting the impacts of chemical pollutants on animal groups. Trends Ecol. Evol.37 (9), 789802. 10.1016/j.tree.2022.05.009

  • 20

    MutterF. E.ParkB. K.CoppleI. M. (2015). Value of monitoring Nrf2 activity for the detection of chemical and oxidative stress. Biochem. Soc. Trans.43 (4), 657662. eng. Epub 2015/11/10. 10.1042/bst20150044

  • 21

    NishimuraY.KurosawaK. (2022). Analysis of gene-environment interactions related to developmental disorders. Front. Pharmacol.13, 863664. 10.3389/fphar.2022.863664

  • 22

    Ordooei JavanA.ShokouhiS.SahraeiZ. (2015). A review on colistin nephrotoxicity. Eur. J. Clin. Pharmacol.71(7), 801810. eng. Epub 2015/05/27. 10.1007/s00228-015-1865-4

  • 23

    ParkK.HanE. J.AhnG.KwakI-S. (2020). Effects of thermal stress-induced lead (Pb) toxicity on apoptotic cell death, inflammatory response, oxidative defense, and DNA methylation in zebrafish (Danio rerio) embryos. Aquat. Toxicol.224, 105479. 10.1016/j.aquatox.2020.105479

  • 24

    PognanF.BeilmannM.BoonenH. C. M.CzichA.DearG.HewittP.et al (2023). The evolving role of investigative toxicology in the pharmaceutical industry. Nat. Rev. Drug Discov.22, 317335. 10.1038/s41573-022-00633-x

  • 25

    SousaB. B.de AlmeidaC. R.BarahonaA. F.LopesR.Martins-LogradoA.CavacoM.et al (2022). Selective inhibition of Bruton's tyrosine kinase by a designed covalent ligand leads to potent therapeutic efficacy in blood cancers relative to clinically used inhibitors. ACS Pharmacol. Transl. Sci.5 (11), 11561168. eng. Epub 2022/11/22. 10.1021/acsptsci.2c00163

  • 26

    TrimbleM. J.MlynárčikP.KolářM.HancockR. E. (2016). Polymyxin: Alternative mechanisms of action and resistance. Cold Spring Harb. Perspect. Med.6, a025288. 10.1101/cshperspect.a025288

  • 27

    WangZ.ZhaoH.XuY.ZhaoJ.SongZ.BiY.et al (2022). Early-life lead exposure induces long-term toxicity in the central nervous system: From zebrafish larvae to juveniles and adults. Sci. Total Environ.804, 150185. 10.1016/j.scitotenv.2021.150185

Summary

Keywords

in vivo modeling, phenotype, adverse outcome pathways, context-dependency, species difference

Citation

Nishimura Y, Kudoh T and Komada M (2023) Editorial: Model organisms in predictive toxicology 2022. Front. Pharmacol. 14:1205945. doi: 10.3389/fphar.2023.1205945

Received

14 April 2023

Accepted

25 April 2023

Published

02 May 2023

Volume

14 - 2023

Edited and reviewed by

Ursula Gundert-Remy, Charité University Medicine Berlin, Germany

Updates

Copyright

*Correspondence: Yuhei Nishimura,

Disclaimer

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.

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