bioRxivPharmacology & Toxicology
Efficient analysis of toxicity and mechanism of food contaminants using network toxicology and molecular docking strategy: A Case Study of Aflatoxin B1
Abstract
The present study aims to promote network toxicology and molecular docking strategies for the efficient evaluation of the toxicity of food contaminants. With the example of liver injury induced by the food contaminant Aflatoxin B1, this study effectively investigated the putative toxicity of food contaminants and the potentially molecular mechanisms. Initially, we obtained a preliminary overview of the toxicity of Aflatoxin B1 by using the ProTox-II and ADMETlab 2.0 databases. Subsequently, it was possible to identify 156 potential targets associated with Aflatoxin B1 and liver injury by using the ChEMBL, SwissTargetPrediction, GeneCards and DisGeNET databases. These were further refined by the STRING 5.0 database and Cytoscape 3.9.0 software for 23 core targets, including AKT1, SRC and EGFR. Then, GO and KEGG pathway analyses performed by Metascape database indicated that the core targets of Aflatoxin B1-induced hepatotoxicity were mainly enriched in cancer-related signalling pathways. Speedy molecular docking using Quick Vina confirmed the strong binding energy between Aflatoxin B1 and the core targets. In summary, Aflatoxin B1 may induce liver injury by regulating cell proliferation, cell survival, cell growth, cellular immune responses, and cellular signalling cascade responses in hepatocytes. We have provided a theoretical basis for understanding the molecular mechanism of Aflatoxin B1 hepatotoxicity and for the prevention and treatment of Aflatoxin B1-induced cancers in food contaminants. Furthermore, our network toxicology and molecular docking methods also provide an effective method for the rapid evaluation of the toxicity of food contaminants, which effectively solves the cost and ethical problems associated with the use of experimental animals. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=185 SRC="FIGDIR/small/574998v1_ufig1.gif" ALT="Figure 1"> View larger version (44K): org.highwire.dtl.DTLVardef@ba292borg.highwire.dtl.DTLVardef@1e4e118org.highwire.dtl.DTLVardef@1760424org.highwire.dtl.DTLVardef@10a11ad_HPS_FORMAT_FIGEXP M_FIG C_FIG
- organism: human
- assay: proteomics
- research focus: cell type annotation
- research focus: differential expression
- approach: statistical model
- approach: mechanistic / dynamical model
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- Elucidating the combined toxicity of aflatoxin B1 and fumonisin B1 on HepG2 cells based on respirometry and transcriptome analyses
X. Chen, M. F. Abdallah, … A. Rajkovic·bioRxiv·Jan 19, 2023
- Paired metagenomic and chemical evaluation of an aflatoxin contaminated dog kibble
A. Ottesen, B. J. Kocurek, … E. A. Strain·bioRxiv·Feb 14, 2024
- Weakly alkaline conditions degrade aflatoxins through lactone ring opening
N. Sandlin, J. Lee, … B. Momeni·bioRxiv·Oct 31, 2023
- Reproductive response of laying chickens to ameliorative method of aflatoxin
O. A. Ojo, I. Bitto, O. E. Ewuola·bioRxiv·Jun 17, 2022
- Evaluating the therapeutic efficacy of the US FDA-designated Orphan drug, uttroside B in impeding hepatocarcinogenesis via induction of immunogenic apoptosis, using a murine model of Aflatoxin B1-induced liver carcinogenesis
Mundanattu Swetha, Chenicheri Kizhakkeveettil Keerthana, … Ruby John Anto·bioRxiv·Sep 8, 2025
- Full quantum mechanical modeling of the enzyme-substrate system: how laccase detoxifies aflatoxin
M. Zaccaria, W. Dawson, … B. Momeni·bioRxiv·Mar 2, 2020