Microelectrode array (MEA) platform as a sensitive tool to detect and evaluate Ostreopsis cf. ovata toxicity

Alloisio, Susanna; Giussani, Valentina; Nobile, Mario; Chiantore, Mariachiara; Novellino, Antonio

doi:10.1016/j.hal.2016.03.001

Cited by 15 publications

(8 citation statements)

References 47 publications

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“…Exposure of neuronal networks to algal cells releasing PLTXs up to 20 min affected the spontaneous electrical activity inhibiting firing rate, burst rate, and percentage of spikes in burst, while increasing the burst duration and the inter-spike intervals within a burst. However, a large variability in the effects was observed, probably because of the not homogeneous distribution of entire cells in the MEA chip, although an effect caused by cell debris could not be excluded [57].…”

Section: Cell-based Assaysmentioning

confidence: 97%

“…To develop functional cell-based assays for PLTX detection, cell death or earlier cytotoxic effects, such as cell membrane depolarization, have been considered as measurable end points. In this view, the Neuro-2a assay, which uses mouse neuroblastoma cells and was previously developed for other algal toxins detection, has been studied for its suitability to also detect PLTXs by its ability to reduce cell viability [52][53][54][55][56][57]. Cañete and Diogène carried out a comparative study of Neuro-2a and the mouse-rat hybrid neuroblastoma-glioma NG108-15 cell line, in an effort to extend a neuronal cell assay able to quantify PLTX by means of MTT reduction in viable cells [52].…”

Section: Cell-based Assaysmentioning

confidence: 99%

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Functional and Structural Biological Methods for Palytoxin Detection

Carlin

Pelin

Ponti

et al. 2022

JMSE

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Palytoxin (PLTX) and its analogues are marine polyethers identified in Palythoa and Zoanthus corals, Ostreopsis dinoflagellates, and Trichodesmium cyanobacteria. Humans can be exposed to these toxins by different routes with a series of adverse effects but the most severe risk is associated with poisonings by the consumption of edible marine organisms accumulating these toxins, as occurs in (sub)-tropical areas. In temperate areas, adverse effects ascribed to PLTXs have been recorded after inhalation of marine aerosols and/or cutaneous contact with seawater during Ostreopsis blooms, as well as during cleaning procedures of Palythoa-containing home aquaria. Besides instrumental analytical methods, in the last years a series of alternative or complementary methods based on biological/biochemical tools have been developed for the rapid and specific PLTX detection required for risk assessment. These methods are usually sensitive, cost- and time-effective, and do not require highly specialized operators. Among them, structural immunoassays and functional cell-based assays are reviewed. The availability of specific anti-PLTX antibodies allowed the development of different sensitive structural assays, suitable for its detection also in complex matrices, such as mussels. In addition, knowing the mechanism of PLTX action, a series of functional identification methods has been developed. Despite some of them being limited by matrix effects and specificity issues, biological methods for PLTX detection represent a feasible tool, suitable for rapid screening.

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Section: Cell-based Assaysmentioning

confidence: 97%

Section: Cell-based Assaysmentioning

confidence: 99%

Functional and Structural Biological Methods for Palytoxin Detection

Carlin

Pelin

Ponti

et al. 2022

JMSE

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“…Microelectrode arrays (MEAs) recording electrophysiological activity of primary neuronal networks established from embryonic rat/mouse cortex can be used to rapidly assess the effects of different potentially neurotoxic substances (Alloisio et al, 2015(Alloisio et al, , 2016. This model finds applications in neurotoxicity of agrochemicals, chemicals, drugs, biotoxins and "smart" drugs, and can be adapted to specific uses by introducing neural cells of different type and origin.…”

Section: Meeting Reportmentioning

confidence: 99%

From cells to QSAR: Alternative predictive models in toxicology

Sambuy¹,

Bassi

Scanarotti

et al. 2017

ALTEX

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“…These cortical networks are sensitive to modulation by compounds with a wide variety of modes of action (Johnstone et al 2010), including those that modulate voltage-gated sodium channels (Meyer et al 2008;Shafer et al 2008;Scelfo et al 2012;Mohana Krishnan and Prakhya 2016;Baskar and Murthy 2018), and glutamatergic (Frega et al 2012;Lantz et al 2014) and GABAergic (Mack et al 2014;Bradley et al 2018) agonists and antagonists. In addition, MEAs are sensitive to a broad range of chemicals and have been used to screen or examine the effects of illicit (Honde-brink et al 2016) and antiepileptic drugs (Colombi et al 2013), components of harmful algae (Nicolas et al 2014;Alloisio et al 2016), neuroactive toxins (Pancrazio et al 2014;Kasteel and Westerink 2017), and metals (Dingemans et al 2016;Huang et al 2016). Results with MEAs are also reproducible across laboratories (Novellino et al 2011;Vassallo et al 2017).…”

Section: Introductionmentioning

confidence: 99%

Concentration–response evaluation of ToxCast compounds for multivariate activity patterns of neural network function

et al. 2019

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The US Environmental Protection Agency's ToxCast program has generated toxicity data for thousands of chemicals but does not adequately assess potential neurotoxicity. Networks of neurons grown on microelectrode arrays (MEAs) offer an efficient approach to screen compounds for neuroactivity and distinguish between compound effects on firing, bursting, and connectivity patterns. Previously, single concentrations of the ToxCast Phase II library were screened for effects on mean firing rate (MFR) in rat primary cortical networks. Here, we expand this approach by retesting 384 of those compounds (including 222 active in the previous screen) in concentration-response across 43 network activity parameters to evaluate neural network function. Using hierarchical clustering and machine learning methods on the full suite of chemicalparameter response data, we identified 15 network activity parameters crucial in characterizing activity of 237 compounds that were response actives ("hits"). Recognized neurotoxic compounds in this network function assay were often more potent compared to other ToxCast assays. Of these chemical-parameter responses, we identified three k-means clusters of chemical-parameter activity (i.e., multivariate MEA response patterns). Next, we evaluated the MEA clusters for enrichment of

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Microelectrode array (MEA) platform as a sensitive tool to detect and evaluate Ostreopsis cf. ovata toxicity

Cited by 15 publications

References 47 publications

Functional and Structural Biological Methods for Palytoxin Detection

Functional and Structural Biological Methods for Palytoxin Detection

From cells to QSAR: Alternative predictive models in toxicology

Concentration–response evaluation of ToxCast compounds for multivariate activity patterns of neural network function

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