Overview of in vitro-in vivo extrapolation approaches for the risk assessment of nanomaterial toxicity

被引:0
|
作者
Azizah, Rahmasari Nur [1 ,2 ]
Verheyen, Geert R. [1 ]
Shkedy, Ziv [2 ]
Van Miert, Sabine [1 ]
机构
[1] Thomas More Univ Appl Sci, Geel, Belgium
[2] Hasselt Univ, Data Sci Inst, CenStat, I BioStat, Diepenbeek, Belgium
关键词
Nanomaterial; IVIVE; Risk assessment; In vitro; in vivo; TITANIUM-DIOXIDE NANOPARTICLES; PHARMACOKINETIC MODEL; GENOTOXICITY ASSESSMENT; INFLAMMATORY RESPONSE; METAL NANOPARTICLES; GOLD NANOPARTICLES; PROTEIN CORONA; SILVER; DOSIMETRY; EXPOSURE;
D O I
10.1016/j.impact.2024.100524
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Nanomaterials are increasingly used in many applications due to their enhanced properties. To ensure their safety for humans and the environment, nanomaterials need to be evaluated for their potential risk. The risk assessment analysis on the nanomaterials based on animal or in vivo studies is accompanied by several concerns, including animal welfare, time and cost needed for the studies. Therefore, incorporating in vitro studies in the risk assessment process is increasingly considered. To be able to analyze the potential risk of nanomaterial to human health, there are factors to take into account. Utilizing in vitro data in the risk assessment analysis requires methods that can be used to translate in vitro data to predict in vivo phenomena (in vitro-in vivo extrapolation (IVIVE) methods) to be incorporated, to obtain a more accurate result. Apart from the experiments and species conversion (for example, translation between the cell culture, animal and human), the challenge also includes the unique properties of nanomaterials that might cause them to behave differently compared to the same materials in a bulk form. This overview presents the IVIVE techniques that are developed to extrapolate pharmacokinetics data or doses. A brief example of the IVIVE methods for chemicals is provided, followed by a more detailed summary of available IVIVE methods applied to nanomaterials. The IVIVE techniques discussed include the comparison between in vitro and in vivo studies, methods to rene the dose metric or the in vitro models, allometric approach, mechanistic modeling, Multiple-Path Particle Dosimetry (MPPD), methods using organ burden data and also approaches that are currently being developed.
引用
收藏
页数:14
相关论文
共 50 条
  • [1] In vitro kinetics in quantitative in vitro-in vivo extrapolation
    Kramer, Nynke I.
    TOXICOLOGY LETTERS, 2016, 258 : S4 - S4
  • [2] Physiologically based approaches towards the prediction of pharmacokinetics:: in vitro-in vivo extrapolation
    De Buck, Stefan S.
    Mackie, Claire E.
    EXPERT OPINION ON DRUG METABOLISM & TOXICOLOGY, 2007, 3 (06) : 865 - 878
  • [3] Evaluating In Vitro-In Vivo Extrapolation of Toxicokinetics
    Wambaugh, John F.
    Hughes, Michael F.
    Ring, Caroline L.
    MacMillan, Denise K.
    Ford, Jermaine
    Fennell, Timothy R.
    Black, Sherry R.
    Snyder, Rodney W.
    Sipes, Nisha S.
    Wetmore, Barbara A.
    Westerhout, Joost
    Setzer, R. Woodrow
    Pearce, Robert G.
    Simmons, Jane Ellen
    Thomas, Russell S.
    TOXICOLOGICAL SCIENCES, 2018, 163 (01) : 152 - 169
  • [4] ToxComp - In Vitro-In Vivo Extrapolation System for Drug Proarrhythmic Potency Assessment
    Polak, Sebastian
    Wisniowska, Barbara
    Fijorek, Kamil
    Glinka, Anna
    Polak, Milosz
    Mendyk, Aleksander
    2012 COMPUTING IN CARDIOLOGY (CINC), VOL 39, 2012, 39 : 789 - 792
  • [5] In vitro kinetics and quantitative in vitro-in vivo extrapolation of nephrotoxicants
    Kramer, N.
    Taverne, F.
    Mally, A.
    Jarzina, S.
    Birk, B.
    DiFiore, S.
    Ellinger, B.
    Gehring, R.
    TOXICOLOGY LETTERS, 2018, 295 : S137 - S137
  • [6] Complexities of glucuronidation affecting in vitro-in vivo extrapolation
    Lin, JH
    Wong, BK
    CURRENT DRUG METABOLISM, 2002, 3 (06) : 623 - 646
  • [7] Key to Opening Kidney for In Vitro-In Vivo Extrapolation Entrance in Health and Disease: Part II: Mechanistic Models and In Vitro-In Vivo Extrapolation
    Scotcher, Daniel
    Jones, Christopher
    Posada, Maria
    Galetin, Aleksandra
    Rostami-Hodjegan, Amin
    AAPS JOURNAL, 2016, 18 (05): : 1082 - 1094
  • [8] Key to Opening Kidney for In Vitro-In Vivo Extrapolation Entrance in Health and Disease: Part II: Mechanistic Models and In Vitro-In Vivo Extrapolation
    Daniel Scotcher
    Christopher Jones
    Maria Posada
    Aleksandra Galetin
    Amin Rostami-Hodjegan
    The AAPS Journal, 2016, 18 : 1082 - 1094
  • [9] Application of adverse outcome pathways and quantitative in vitro-in vivo extrapolation (QIVIVE) modelling for risk assessment based on in vitro data
    Mally, A.
    Birk, B.
    Di Fiore, S.
    Ellinger, B.
    Jarzina, S.
    Reiser, P.
    Taverne, F.
    Kramer, N.
    TOXICOLOGY LETTERS, 2019, 314 : S140 - S140
  • [10] Using in Vitro-In Vivo Extrapolation to Predict Human Clearance
    Wang X.
    Wang, Xiangling, 1600, Mary Ann Liebert Inc. (41): : 78 - 79