Assessment of deoxynivalenol-induced immunotoxicity using a physiologically based toxicokinetic model for the Chinese population

  • WANG Yuxin ,
  • SHI Miaoying ,
  • WANG Xiaohong ,
  • YANG Hui ,
  • JIA Xudong
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  • 1(National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing 102206, China)
    2(National Center for Food Safety Risk Assessment, Beijing 100022, China)

Received date: 2026-01-07

  Revised date: 2026-01-22

  Online published: 2026-06-24

Abstract

Deoxynivalenol (DON) is a common mycotoxin present in cereals in China and reduced body weight gain observed in mice was used as the critical effect in its risk assessment.However, its immunotoxicity has garnered increasing attention in recent years.To address limitations such as uncertainties in extrapolating animal data to humans, this study integrated in vitro toxicity data with a physiologically based toxicokinetic (PBTK) model to develop an assessment strategy based on new approach methodologies (NAMs) for assessing the risk of immunotoxic effects from DON exposure among Chinese.A PBTK model for Chinese adults was built and validated using parameters derived from literature and experiments.Subsequently, a PBTK modeling based reverse dosimetry approach was employed to extrapolate in vitro concentrations of DON reported in the literature to in vivo doses, thereby deriving points of departure (PoDs) based on immunotoxicity.Results indicated that PoDs for DON based on immunotoxic endpoints ranged from 2.7 to 282 μg/(kg BW·d), with some PoDs being lower than the PoD underlying the current tolerable daily intake, suggesting that immunotoxicity may serve as a more sensitive toxic endpoint than reduced body weight gain for the risk assessment of DON.This study provides a NAMs-based hazard assessment strategy, providing new insights for food safety risk assessment of DON in China.

Cite this article

WANG Yuxin , SHI Miaoying , WANG Xiaohong , YANG Hui , JIA Xudong . Assessment of deoxynivalenol-induced immunotoxicity using a physiologically based toxicokinetic model for the Chinese population[J]. Food and Fermentation Industries, 2026 , 52(11) : 101 -106 . DOI: 10.13995/j.cnki.11-1802/ts.045765

References

[1] LEE H J, RYU D.Worldwide occurrence of mycotoxins in cereals and cereal-derived food products:Public health perspectives of their co-occurrence[J].Journal of Agricultural and Food Chemistry, 2017, 65(33):7034-7051.
[2] ESKOLA M, KOS G, ELLIOTT C T, et al.Worldwide contamination of food-crops with mycotoxins:Validity of the widely cited ‘FAO estimate’ of 25%[J].Critical Reviews in Food Science and Nutrition, 2020, 60(16):2773-2789.
[3] WANG X D, LIANG J, CAO P, et al.Biomonitoring study of deoxynivalenol exposure in Chinese inhabitants[J].International Journal of Environmental Research and Public Health, 2019, 16(12):2169.
[4] EFSA PANEL ON CONTAMINANTS IN THE FOOD CHAIN (CONTAM), KNUTSEN H K, ALEXANDER J, et al.Risks to human and animal health related to the presence of deoxynivalenol and its acetylated and modified forms in food and feed[J].EFSA Journal, 2017, 15(9):4718.
[5] SHANDILYA U K, SHARMA A, XU R, et al.Evaluation of immunomodulatory effects of Fusarium mycotoxins using bacterial endotoxin-stimulated bovine epithelial cells and macrophages in co-culture[J].Genes, 2023, 14(11):2014.
[6] SKRZYDLEWSKI P, TWARUŻEK M, GRAJEWSKI J.Cytotoxicity of mycotoxins and their combinations on different cell lines:A review[J].Toxins, 2022, 14(4):244.
[7] TARDIVEL C, AIRAULT C, DJELLOUL M, et al.The food born mycotoxin deoxynivalenol induces low-grade inflammation in mice in the absence of observed-adverse effects[J].Toxicology Letters, 2015, 232(3):601-611.
[8] SHI M Y, DONG Y M, BOUWMEESTER H, et al.In vitro -in silico-based prediction of inter-individual and inter-ethnic variations in the dose-dependent cardiotoxicity of R- and S-methadone in humans[J].Archives of Toxicology, 2022, 96(8):2361-2380.
[9] JANG J H, JEONG S H.Human risk assessment through development and application of a physiologically based toxicokinetic model for 4-tert-octylphenol[J].Environmental Pollution, 2024, 360:124613.
[10] WANG J X, DE BRUIJN V, RIETJENS I M C M, et al.Use of physiologically based kinetic modeling to predict deoxynivalenol metabolism and its role in intestinal inflammation and bile acid kinetics in humans[J].Journal of Agricultural and Food Chemistry, 2024, 72(1):761-772.
[11] PUNT A.New approach methodologies (NAMs) for human-relevant biokinetics predictions[J].Altex, 2020:37(4), 607-622.
[12] SCHELSTRAETE W, DEVREESE M, CROUBELS S.Comparative toxicokinetics of Fusarium mycotoxins in pigs and humans[J].Food and Chemical Toxicology, 2020, 137:111140.
[13] ZHANG H F, GAO N, TIAN X, et al.Content and activity of human liver microsomal protein and prediction of individual hepatic clearance in vivo[J].Scientific Reports, 2015, 5:17671.
[14] WALTON K, DORNE J L C M, RENWICK A G.Species-specific uncertainty factors for compounds eliminated principally by renal excretion in humans[J].Food and Chemical Toxicology, 2004, 42(2):261-274.
[15] PINCKAERS N E T, BLANKESTEIJN W M, MIRCHEVA A, et al.Quantitative in vitro-to-in vivo extrapolation of human adrenergic and trace amine-associated receptor 1 potencies of pre-workout supplement ingredients using physiologically based kinetic modelling-based reverse dosimetry[J].Archives of Toxicology, 2025, 99(5):1999-2021.
[16] WANG X D, QIU N N, ZHANG C, et al.Comprehensive dietary and internal exposure assessment of deoxynivalenol contamination in a high-risk area in China using duplicate diet studies and urinary biomarkers[J].Food Control, 2021, 124:107830.
[17] VIDAL A, CLAEYS L, MENGELERS M, et al.Humans significantly metabolize and excrete the mycotoxin deoxynivalenol and its modified form deoxynivalenol-3-glucoside within 24 hours[J].Scientific Reports, 2018, 8:5255.
[18] DREVON D, FURSA S R, MALCOLM A L.Intercoder reliability and validity of WebPlotDigitizer in extracting graphed data[J].Behavior Modification, 2017, 41(2):323-339.
[19] ZHANG D, SHI M Y, NING J Y, et al.Deriving a health-based guidance value for 9, 10-anthraquinone via integrating PBTK modeling-based reverse dosimetry and in vitro bioassays[J].Environment International, 2025, 201:109554.
[20] YANG J, WANG X H, ZHANG Q N, et al.Immunotoxic effect and mechanisms of Fusarium mycotoxins on human immune cells:A focus on T cells and macrophages[J].Toxicology, 2025, 515:154170.
[21] SUGIYAMA K I, MUROI M, KINOSHITA M, et al.NF-κB activation via MyD88-dependent Toll-like receptor signaling is inhibited by trichothecene mycotoxin deoxynivalenol[J].The Journal of Toxicological Sciences, 2016, 41(2):273-279.
[22] NAGASHIMA H, NAKAGAWA H, KUSHIRO M.Opposite effects of two trichothecene mycotoxins, deoxynivalenol and nivalenol, on the levels of macrophage inflammatory protein (MIP)-1α and MIP-1β in HL60 cells[J].Environmental Toxicology and Pharmacology, 2012, 34(3):1014-1017.
[23] SUGITA-KONISHI Y, PESTKA J J.Differential upregulation of TNF-α, IL-6, and IL-8 production by deoxynivalenol (vomitoxin) and other 8-Ketotrichothecenes in a human macrophage model[J].Journal of Toxicology and Environmental Health, Part A, 2001, 64(8):619-636.
[24] JOHANNISSON A, BJÖRKHAG B, HANSSON W, et al.Effects of four trichothecene mycotoxins on activation marker expression and cell proliferation of human lymphocytes in culture[J].Cell Biology and Toxicology, 1999, 15(4):203-215.
[25] FÆSTE C K, IVANOVA L, SAYYARI A, et al.Prediction of deoxynivalenol toxicokinetics in humans by in vitro-to-in vivo extrapolation and allometric scaling of in vivo animal data[J].Archives of Toxicology, 2018, 92(7):2195-2216.
[26] MAUL R, WARTH B, SCHEBB N H, et al.In vitro glucuronidation kinetics of deoxynivalenol by human and animal microsomes and recombinant human UGT enzymes[J].Archives of Toxicology, 2015, 89(6):949-960.
[27] GUILLEMETTE C.Pharmacogenomics of human UDP-glucuronosyltransferase enzymes[J].The Pharmacogenomics Journal, 2003, 3(3):136-158.
[28] DENG C L, LI C L, ZHOU S, et al.Risk assessment of deoxynivalenol in high-risk area of China by human biomonitoring using an improved high throughput UPLC-MS/MS method[J].Scientific Reports, 2018, 8:3901.
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