A common bottleneck in any drug development process is finding sufficiently accurate models that capture key aspects of disease development and progression. Conventional drug screening models often rely on simple 2D culture systems that fail to recapitulate the complexity of the organ situation. In this study, we show the application of a robust high throughput 3D gut-on-a-chip model for investigating hallmarks of inflammatory bowel disease (IBD). Using the OrganoPlate platform, we subjected enterocyte-like cells to an immune-relevant inflammatory trigger in order to recapitulate key events of IBD and to further investigate the suitability of this model for compound discovery and target validation activities. The induction of inflammatory conditions caused a loss of barrier function of the intestinal epithelium and its activation by increased cytokine production, two events observed in IBD physiopathology. More importantly, anti-inflammatory compound exposure prevented the loss of barrier function and the increased cytokine release. Furthermore, knockdown of key inflammatory regulators RELA and MYD88 through on-chip adenoviral shRNA transduction alleviated IBD phenotype by decreasing cytokine production. In summary, we demonstrate the routine use of a gut-on-a-chip platform for disease-specific aspects modeling. The approach can be used for larger scale disease modeling, target validation and drug discovery purposes.
Eye movement artifacts in electroencephalogram (EEG) recordings can greatly distort grand mean event-related potential (ERP) waveforms. Different techniques have been suggested to remove these artifacts prior to ERP analysis. Independent component analysis (ICA) is suggested as an alternative method to "filter" eye movement artifacts out of the EEG, preserving the brain activity of interest and preserving all trials. However, the identification of artifact components is not always straightforward. Here, we compared eye movement artifact removal by ICA compiled on 10 s of EEG, on eye movement epochs, or on the complete EEG recording to the removal of eye movement artifacts by rejecting trials or by the Gratton and Coles method. ICA performed as well as the Gratton and Coles method. By selecting only eye movement epochs for ICA compilation, we were able to facilitate the identification of components representing eye movement artifacts.
ERP correlates of complex human decision making in a gambling paradigmMennes, M.; Wouters, H.; Van den Bergh, B.R.H.; Lagae, L.; Stiers, P.
Published in: Psychophysiology
Publication date: 2008 Link to publication
Citation for published version (APA):Mennes, M., Wouters, H., Van den Bergh, B. R. H., Lagae, L., & Stiers, P. (2008). ERP correlates of complex human decision making in a gambling paradigm: Detection and resolution of conflict. Psychophysiology, 45(5), 714-720.
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AbstractThe present event-related potential study investigated the correlates of decision making in relation to the amount of response conflict. In a gambling paradigm, response conflict was introduced by giving participants the option to either gamble or pass. Second, the odds and gains in each trial were manipulated to make the decision to gamble or pass determined or underdetermined. Underdetermined trials included an extra conflict. The N2 was modulated by the mere presence of conflict. In contrast to both conflict monitoring and inhibition theories for N2, these results suggest that an enhancement in N2 reflects the mere detection of conflicting alternatives. The P3 showed a fronto-central increase in amplitude in trials including two forms of response conflict compared to trials including only one conflict. These findings suggest that P3 reflects part of the conflict resolution processes.
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