» Articles » PMID: 36703996

Detection of Astrocytic Slow Oscillatory Activity and Response to Seizurogenic Compounds Using Planar Microelectrode Array

Overview
Journal Front Neurosci
Date 2023 Jan 27
PMID 36703996
Authors
Affiliations
Soon will be listed here.
Abstract

Since the development of the planar microelectrode array (MEA), it has become popular to evaluate compounds based on the electrical activity of rodent and human induced pluripotent stem cell (iPSC)-derived neurons. However, there are no reports recording spontaneous human astrocyte activity from astrocyte-only culture sample by MEA. It is becoming clear that astrocytes play an important role in various neurological diseases, and astrocytes are expected to be excellent candidates for targeted therapeutics for the treatment of neurological diseases. Therefore, measuring astrocyte activity is very important for drug development for astrocytes. Recently, astrocyte activity has been found to be reflected in the low-frequency band < 1 Hz, which is much lower than the frequency band for recording neural activity. Here, we separated the signals obtained from human primary astrocytes cultured on MEA into seven frequency bands and successfully recorded the extracellular electrical activity of human astrocytes. The slow waveforms of spontaneous astrocyte activity were observed most clearly in direct current potentials < 1 Hz. We established nine parameters to assess astrocyte activity and evaluated five seizurogenic drug responses in human primary astrocytes and human iPSC-derived astrocytes. Astrocytes demonstrated the most significant dose-dependent changes in pilocarpine. Furthermore, in a principal component analysis using those parameter sets, the drug responses to each seizurogenic compound were separated. In this paper, we report the spontaneous electrical activity measurement of astrocytes alone using MEA for the first time and propose that the MEA measurement focusing on the low-frequency band could be useful as one of the methods to assess drug response .

Citing Articles

Machine Learning Technology for EEG-Forecast of the Blood-Brain Barrier Leakage and the Activation of the Brain's Drainage System during Isoflurane Anesthesia.

Semyachkina-Glushkovskaya O, Sergeev K, Semenova N, Slepnev A, Karavaev A, Hramkov A Biomolecules. 2023; 13(11).

PMID: 38002287 PMC: 10669477. DOI: 10.3390/biom13111605.


Advances in the Electrophysiological Recordings of Long-Term Potentiation.

Jiang F, Bello S, Gao Q, Lai Y, Li X, He L Int J Mol Sci. 2023; 24(8).

PMID: 37108295 PMC: 10138642. DOI: 10.3390/ijms24087134.

References
1.
Pine J . Recording action potentials from cultured neurons with extracellular microcircuit electrodes. J Neurosci Methods. 1980; 2(1):19-31. DOI: 10.1016/0165-0270(80)90042-4. View

2.
Liddelow S, Guttenplan K, Clarke L, Bennett F, Bohlen C, Schirmer L . Neurotoxic reactive astrocytes are induced by activated microglia. Nature. 2017; 541(7638):481-487. PMC: 5404890. DOI: 10.1038/nature21029. View

3.
Ishibashi Y, Odawara A, Kinoshita K, Okamura A, Shirakawa T, Suzuki I . Principal Component Analysis to Distinguish Seizure Liability of Drugs in Human iPS Cell-Derived Neurons. Toxicol Sci. 2021; 184(2):265-275. DOI: 10.1093/toxsci/kfab116. View

4.
Tukker A, van Kleef R, Wijnolts F, de Groot A, Westerink R . Towards animal-free neurotoxicity screening: Applicability of hiPSC-derived neuronal models for in vitro seizure liability assessment. ALTEX. 2019; 37(1):121-135. DOI: 10.14573/altex.1907121. View

5.
Bal A, Bachelot T, Savasta M, Manier M, Verna J, Benabid A . Evidence for dopamine D2 receptor mRNA expression by striatal astrocytes in culture: in situ hybridization and polymerase chain reaction studies. Brain Res Mol Brain Res. 1994; 23(3):204-12. DOI: 10.1016/0169-328x(94)90227-5. View