Open Access

ARTICLE

In silico assessment of human health risks caused by cyanotoxins from cyanobacteria

JIA-FONG HONG¹, BAGHDAD OUDDANE², JIANG-SHIOU HWANG^3,4,5, HANS-UWE DAHMS^1,6,7,*
1 Department of Biomedical Science and Environmental Biology, College of Life Science, Kaohsiung Medical University, Kaohsiung, 807, Taiwan
2 Univ. Lille, Laboratoire LASIRE, UMR CNRS 8516, Equipe Physico-Chimie de l’Environnement, Lille, F-59000, France
3 Institute of Marine Biology, National Taiwan Ocean University, Keelung, 202, Taiwan
4 Center of Excellence for the Oceans, National Taiwan Ocean University, Keelung, 202, Taiwan
5 Center of Excellence for Ocean Engineering, National Taiwan Ocean University, Keelung, 202, Taiwan
6 Research Center for Environmental Medicine, KMU-Kaohsiung Medical University, Kaohsiung, 807, Taiwan
7 Department of Marine Biotechnology and Resources, National Sun Yat-sen University, Kaohsiung, 804, Taiwan
* Address correspondence to: Hans-Uwe Dahms,
(This article belongs to this Special Issue: Biomonitoring of Toxic Effects Using OMICs Markers)

BIOCELL 2021, 45(1), 65-77. https://doi.org/10.32604/biocell.2021.014154

Received 03 September 2020; Accepted 12 October 2020; Issue published 26 January 2021

Abstract

Harmful algal blooms (HABs) that are formed by cyanobacteria have become a serious issue worldwide in recent years. Cyanobacteria can release a type of secondary metabolites called cyanotoxins into aquatic systems which may indirectly or directly provide health risks to the environment and humans. Cyanotoxins provide some of the most powerful natural poisons including potent neurotoxins, hepatotoxins, cytotoxins, and endotoxins that may result in environmental health risks, and long-term morbidity and mortality to animals and humans. In this research, we used the chemcomputational tool Molinspiration for molecular property predictions, Pred-hERG 4.2 web software for cardiac toxicity prediction, and Pred-Skin 2.0 web software for predicting skin sensitization. We are predicting some toxicological aspects of cyanobacteria here using chemcomputational tools with the hypothesis that cyanotoxins are providing a risk to human health. We are using the tool Pred-hERG 4.2 to predict hERG channel blocking potential and the Pred-skin tool to predict skin sensitization due to cyanotoxins. The potential of anatoxin, ambigol, the microcystin group, and lyngbyatoxin A, lyngbyatoxin B, nodularin-R, and saxitoxin were predicted to cause skin sensitization in the final results (consensus model). Anatoxin-a and lyngbyatoxin were predicted to allow GI absorption and blood–brain barrier penetration. Among the 20 predicted cyanotoxins only aeruginosin 103-A, ambigol A, and ambigol were predicted by Pred-hERG 4.2 according to the applicability domain results as potential cardiotoxins with weak or moderate potency. Lyngbyatoxin shows activity through the GPCR ligand and protease, kinase, and enzyme inhibitor.

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Keywords

Cyanotoxins, Predictive model, Molinspiration, Bioactivity score, hERG blocker, Carcinogenicity

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Citations