Evidence map›Paper›PMID 39382235›Full record

ArticleAddiction biology2024

Development of an evaluation method for addictive compounds based on electrical activity of human iPS cell-derived dopaminergic neurons using microelectrode array.

Yuto Ishibashi, Nami Nagafuku, Shingo Kimura, Xiaobo Han, Ikuro Suzuki

Abstract read
In one paragraph

Article in Addiction biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Yuto IshibashiDepartment of Electronics, Graduate School of Engineering, Tohoku Institute of Technology, Sendai, Miyagi, Japan.
Nami NagafukuDepartment of Electronics, Graduate School of Engineering, Tohoku Institute of Technology, Sendai, Miyagi, Japan.
Shingo KimuraDepartment of Electronics, Graduate School of Engineering, Tohoku Institute of Technology, Sendai, Miyagi, Japan.
Xiaobo HanDepartment of Electronics, Graduate School of Engineering, Tohoku Institute of Technology, Sendai, Miyagi, Japan.
Ikuro SuzukiDepartment of Electronics, Graduate School of Engineering, Tohoku Institute of Technology, Sendai, Miyagi, Japan.ORCID 0000-0002-1653-1450

Funding

Japan Science and Technology Corporation JPMJTR20UP
6 · The paper itself

Abstract

Addiction is known to occur through the consumption of substances such as pharmaceuticals, illicit drugs, food, alcohol and tobacco. These addictions can be viewed as drug addiction, resulting from the ingestion of chemical substances contained in them. Multiple neural networks, including the reward system, anti-reward/stress system and central immune system in the brain, are believed to be involved in the onset of drug addiction. Although various compound evaluations using microelectrode array (MEA) as an in vitro testing methods to evaluate neural activities have been conducted, methods for assessing addiction have not been established. In this study, we aimed to develop an in vitro method for assessing the addiction of compounds, as an alternative to animal experiments, using human iPS cell-derived dopaminergic neurons with MEA measurements. MEA data before and after chronic exposure revealed specific changes in addictive compounds compared to non-addictive compounds, demonstrating the ability to estimate addiction of compound. Additionally, conducting gene expression analysis on cultured samples after the tests revealed changes in the expression levels of various receptors (nicotine, dopamine and GABA) due to chronic administration of addictive compounds, suggesting the potential interpretation of these expression changes as addiction-like responses in MEA measurements. The addiction assessment method using MEA measurements in human iPS cell-derived dopaminergic neurons conducted in this study proves effective in evaluating addiction of compounds on human neural networks.

Indexed as

Dopaminergic NeuronsInduced Pluripotent Stem CellsMicroelectrodesHumansNicotineSubstance-Related DisordersNicotinedrug addictionhuman iPS cell‐derived dopaminergic neuronsin vitromicroelectrode arraynew approach methodologiesprincipal component analysis

Identifiers

PMID39382235
PMCPMC11462589

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.