The use of fish models to study human neurological disorders

Matsui, Hirokazu

doi:10.1016/j.neures.2017.02.004

Cited by 22 publications

(7 citation statements)

References 62 publications

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“…Then, the sections were washed on the following day with PBS/1% Triton X-100 and analyzed using the A1R+ confocal microscope and NIS-Elements AR 4.50.00 (Nikon, Tokyo, Japan). Among the clusters of dopaminergic neurons, we counted the DC2 and DC4 dopaminergic neurons of the posterior tuberculum of Nothobranchius furzeri, which is thought to be equivalent in structure to the human SNc (Matsui, 2017a(Matsui, , 2017b. The antigen retrieval step increased the transparency of the sections, allowing us to obtain confocal images of 100-200-mm thick sections.…”

Section: Methods Detailsmentioning

confidence: 99%

Age- and α-Synuclein-Dependent Degeneration of Dopamine and Noradrenaline Neurons in the Annual Killifish Nothobranchius furzeri

2019

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Section: Methods Detailsmentioning

confidence: 99%

Age- and α-Synuclein-Dependent Degeneration of Dopamine and Noradrenaline Neurons in the Annual Killifish Nothobranchius furzeri

2019

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“…Some human diseases are easier to model in fish than in mice. Examples include Parkinson's disease where dopaminergic neurodegeneration can occur in fish (shown in zebrafish and medaka) as it does in humans (Matsui, 2017) whereas this does not occur in mice (Kitada et al ., 2009), for the in vivo single‐cell visualisation of early tumour growth and progression in transparent embryos of zebrafish and medaka (Schartl & Walter, 2016), and for the study of naturally occurring melanoma, an aggressive form of cancer found in humans and Xiphophorus species but not in mice (Meierjohann & Schartl, 2006).…”

Section: Introductionmentioning

confidence: 99%

Beyond compliance: harmonising research and husbandry practices to improve experimental reproducibility using fish models

Paull,

Lee,

Tyler

2023

Biological Reviews

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Reproducibility in animal research is impacted by the environment, by husbandry practices in the laboratory and by the animals' provenance. These factors, however, are often not adequately considered by researchers. A disconnect between researchers and animal care staff can result in inappropriate housing and husbandry decisions for scientific studies with those animals. This is especially the case for the research in neuro‐behaviour, epigenetics, and the impact of climate change, as heritable phenotypic, behavioural or physiological changes are known to result from the animals' environmental housing, husbandry, provenance and prior experience. This can lead to greater variation (even major differences) in data outcomes among studies, driving scientific uncertainties. Herein, we illustrate some of the endpoints measured in fish studies known to be intrinsically linked to the environment and husbandry conditions and assess the significance of housing and husbandry practice decisions for research adopting these endpoints for different fish species. We highlight the different priorities and challenges faced by researchers and animal care staff and how harmonising their activities and building greater understanding of how husbandry practices affect the fish will improve reproducibility in research outcomes. We furthermore illustrate how improving engagement between stakeholders, including regulatory bodies, can better underpin fish husbandry decisions and where researchers could help to drive best husbandry practices through their own research with fish models.

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“…Patients with PD display a reduction in the dopaminergic neurons of the SNc. We therefore counted the DC2 and DC4 dopaminergic neurons of the posterior tuberculum of zebrafish, which is thought to be equivalent in structure to the human SNc [ 11 , 38 ]. The antigen retrieval step increased the transparency of the sections, allowing us to obtain confocal images of 100–200-μm thick sections.…”

Section: Resultsmentioning

confidence: 99%

An optimized method for counting dopaminergic neurons in zebrafish

Matsui

Sugie

2017

PLoS ONE

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In recent years, considerable effort has been devoted to the development of a fish model for Parkinson’s disease (PD) to examine the pathological mechanisms of neurodegeneration. To effectively evaluate PD pathology, the ability to accurately and reliably count dopaminergic neurons is important. However, there is currently no such standardized method. Due to the relatively small number of dopaminergic neurons in fish, stereological estimation would not be suitable. In addition, serial sectioning requires proficiency to not lose any sections, and it permits double counting due to the large size of some of the dopaminergic neurons. In this study, we report an optimized protocol for staining dopaminergic neurons in zebrafish and provide a reliable counting method. Finally, using our optimized protocol, we confirmed that administration of 6-hydroxydopamine (a neurotoxin) or the deletion of the PINK1 gene (one of the causative genes of familiar PD) in zebrafish caused significant reduction in the number of dopaminergic and noradrenergic neurons. In summary, this method will serve as an important tool for the appropriate evaluation and establishment of fish PD models.

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The use of fish models to study human neurological disorders

Cited by 22 publications

References 62 publications

Age- and α-Synuclein-Dependent Degeneration of Dopamine and Noradrenaline Neurons in the Annual Killifish Nothobranchius furzeri

Age- and α-Synuclein-Dependent Degeneration of Dopamine and Noradrenaline Neurons in the Annual Killifish Nothobranchius furzeri

Beyond compliance: harmonising research and husbandry practices to improve experimental reproducibility using fish models

An optimized method for counting dopaminergic neurons in zebrafish

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