ArticleIEEE transactions on bio-medical engineering2019
Epilepsy-on-a-Chip System for Antiepileptic Drug Discovery.
Article in IEEE transactions on bio-medical engineering, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
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Who cites it
21 citing papers in PubMed.
- Epilepsy as a Multiscale Network Disorder: Integrating Precision Therapeutics and Emerging Experimental Platforms.Pharmaceutics · 2026Review
- A microfluidic biomimetic system from the blood-brain barrier to activated microglia towards anti-Mesial Temporal Lobe Epilepsy drug screening.Analytical and bioanalytical chemistry · 2026Article
- From mice to clinical relevance: humanizing neuroscience with human-based model systems.Frontiers in cellular neuroscience · 2026Review
- Brain organoids-on-chip for neural diseases modeling: History, challenges and trends.Journal of pharmaceutical analysis · 2025Review
- Tailoring epilepsy treatment: personalized micro-physiological systems illuminate individual drug responses.Annals of medicine and surgery (2012) · 2024Review
- Breaking Barriers: Exploring Neurotransmitters through In Vivo vs. In Vitro Rivalry.Sensors (Basel, Switzerland) · 2024Review
- Electrophysiological and morphological modulation of neuronal-glial network by breast cancer and nontumorigenic mammary cell conditioned medium.Frontiers in bioengineering and biotechnology · 2024Article
- Microphysiological systems as reliable drug discovery and evaluation tools: Evolution from innovation to maturity.Biomicrofluidics · 2023Review
- Unexplained Causes of Glioma-Associated Epilepsies: A Review of Theories and an Area for Research.Cancers · 2023Review
- The microbiota-gut-brain axis and epilepsy from a multidisciplinary perspective: Clinical evidence and technological solutions for improvement of in vitro preclinical models.Bioengineering & translational medicine · 2022Review
- Lab-on-Chip Microsystems forFrontiers in bioengineering and biotechnology · 2022Review
- Network Pharmacology-Based Prediction and Verification of the Potential Mechanisms of He's Yangchao Formula against Diminished Ovarian Reserve.Evidence-based complementary and alternative medicine : eCAM · 2022Article
- Network Pharmacology and In Vivo Experimental Validation to Uncover the Renoprotective Mechanisms of Fangji Huangqi Decoction on Nephrotic Syndrome.Evidence-based complementary and alternative medicine : eCAM · 2022Article
- Design and Fabrication of Organ-on-Chips: Promises and Challenges.Micromachines · 2021Review
- Article
- Personalized Medicine Using Cutting Edge Technologies for Genetic Epilepsies.Current neuropharmacology · 2021Review
- Anti-Autophagy Mechanism of Zhi Gan Prescription Based on Network Pharmacology in Nonalcoholic Steatohepatitis Rats.Frontiers in pharmacology · 2021Article
- Variability of seizure-like activity in anHeliyon · 2020Article
- Layer-By-Layer: The Case for 3D Bioprinting Neurons to Create Patient-Specific Epilepsy Models.Materials (Basel, Switzerland) · 2019Review
- Kinase Inhibitors with Antiepileptic Properties Identified with a Novel in Vitro Screening Platform.International journal of molecular sciences · 2019Article
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
objectiveHippocampal slice cultures spontaneously develop chronic epilepsy several days after slicing and are used as an in vitro model of post-traumatic epilepsy. Here, we describe a hybrid microfluidic-microelectrode array (μflow-MEA) technology that incorporates a microfluidic perfusion network and electrodes into a miniaturized device for hippocampal slice culture based antiepileptic drug discovery.
methodsField potential simulation was conducted to help optimize the electrode design to detect a seizure-like population activity. Epilepsy-on-a-chip model was validated by chronic electrical recording, neuronal survival quantification, and anticonvulsant test. To demonstrate the application of μflow-MEA in drug discovery, we utilized a two-stage screening platform to identify potential targets for antiepileptic drugs. In Stage I, lactate and lactate dehydrogenase biomarker assays were performed to identify potential drug candidates. In Stage II, candidate compounds were retested with μflow-MEA-based chronic electrical assay to provide electrophysiological confirmation of biomarker results. RESULTS AND
conclusionWe screened 12 receptor tyrosine kinases inhibitors, and EGFR/ErbB-2 and cFMS inhibitors were identified as novel antiepileptic compounds. SIGNIFICANCE: This epilepsy-on-a-chip system provides the means for rapid dissection of complex signaling pathways in epileptogenesis, paving the way for high-throughput antiepileptic drug discovery.
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