Unlocking Biological Activity and Metabolomics Insights: Primary Screening of Cyanobacterial Biomass from a Tropical Reservoir.

Autor: Médice RV; Department of Clinical and Toxicological Analyses, School of Pharmaceutical Sciences, University of São Paulo, São Paulo, SP, Brazil., Arruda RS; Department of Plant Biology, Rio de Janeiro State University, Rio de Janeiro, RJ, Brazil., Yoon J; Department of Pharmaceutical Technology, School of Pharmaceutical Sciences, University of São Paulo, São Paulo, SP, Brazil., Borges RM; Walter Mors Natural Product Research Institute, Federal University of Rio de Janeiro, Rio de Janeiro, Brazil., Noyma NP; Department of Plant Biology, Rio de Janeiro State University, Rio de Janeiro, RJ, Brazil., Lürling M; Department of Environmental Sciences, Wageningen University, Wageningen, The Netherlands., Crnkovic CM; Department of Pharmaceutical Technology, School of Pharmaceutical Sciences, University of São Paulo, São Paulo, SP, Brazil., Marinho MM; Department of Plant Biology, Rio de Janeiro State University, Rio de Janeiro, RJ, Brazil., Pinto E; Center for Nuclear Energy in Agriculture, University of São Paulo, Piracicaba, SP, Brazil.
Jazyk: angličtina
Zdroj: Environmental toxicology and chemistry [Environ Toxicol Chem] 2024 Oct; Vol. 43 (10), pp. 2222-2231. Date of Electronic Publication: 2024 Aug 07.
DOI: 10.1002/etc.5962
Abstrakt: Cyanobacterial harmful algal blooms can pose risks to ecosystems and human health worldwide due to their capacity to produce natural toxins. The potential dangers associated with numerous metabolites produced by cyanobacteria remain unknown. Only select classes of cyanopeptides have been extensively studied with the aim of yielding substantial evidence regarding their toxicity, resulting in their inclusion in risk management and water quality regulations. Information about exposure concentrations, co-occurrence, and toxic impacts of several cyanopeptides remains largely unexplored. We used liquid chromatography-mass spectrometry (LC-MS)-based metabolomic methods associated with chemometric tools (NP Analyst and Data Fusion-based Discovery), as well as an acute toxicity essay, in an innovative approach to evaluate the association of spectral signatures and biological activity from natural cyanobacterial biomass collected in a eutrophic reservoir in southeastern Brazil. Four classes of cyanopeptides were revealed through metabolomics: microcystins, microginins, aeruginosins, and cyanopeptolins. The bioinformatics tools showed high bioactivity correlation scores for compounds of the cyanopeptolin class (0.54), in addition to microcystins (0.54-0.58). These results emphasize the pressing need for a comprehensive evaluation of the (eco)toxicological risks associated with different cyanopeptides, considering their potential for exposure. Our study also demonstrated that the combined use of LC-MS/MS-based metabolomics and chemometric techniques for ecotoxicological research can offer a time-efficient strategy for mapping compounds with potential toxicological risk. Environ Toxicol Chem 2024;43:2222-2231. © 2024 SETAC.
(© 2024 SETAC.)
Databáze: MEDLINE
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