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Zebrafish Models for Development and Disease 2.0

A special issue of Biomedicines (ISSN 2227-9059). This special issue belongs to the section "Molecular and Translational Medicine".

Deadline for manuscript submissions: closed (31 December 2020) | Viewed by 48868

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Special Issue Editors


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Guest Editor
Department of Biology, Indiana University Indianapolis, Indianapolis, IN, USA
Interests: zebrafish; fetal alcohol spectrum disorder; gastrulation; congenital heart defects; eye defects; cadherin; tight junction; adherens junction
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
Department of Biology, Indiana University-Purdue University Indianapolis, Indianapolis, IN, USA
Interests: fetal alcohol spectrum disorder; congenital heart defects; zebrafish; craniofacial morphogenesis
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

This Special Issue is the second volume of our previous Special Issue “Zebrafish Models for Development and Disease”. The zebrafish has become an important model organism to study normal development, particularly since large-scale genetic screening was used to identify genes that control developmental mechanisms. Subsequently, a large variety of creative approaches were used to develop disease models that are used to study developmental disorders, cancer, heart disease, diabetes, and many other conditions. The advent of next-generation DNA sequencing techniques expanded the utility of the zebrafish model, allowing analysis of genetic and epigenetic mechanisms of development and disease. Additionally, the small size, imaging capabilities, and reporter gene expression in the zebrafish permits high throughput toxicology evaluation and drug screening, increasing the capability of this model. The zebrafish is increasingly being used to study neurological, psychiatric, and behavioral conditions. This call for papers invites contributions of original research and reviews for this Special Issue of Biomedicines entitled “Zebrafish Models in Development and Disease”. The Special Issue will explore the diverse capabilities of the zebrafish model that can be applied to study a growing list of biological and preclinical research problems.

Scope:

  • Basic research using the zebrafish model to understand diseases and mechanisms;
  • Basic research using the zebrafish to model disease treatment strategies;
  • Basic research using the zebrafish to evaluate potential teratogens;
  • Basic research using the zebrafish for drug screening;
  • Basic research using the zebrafish for neuroscience and behavioral studies;
  • Review articles on describing any of the above topics using the zebrafish model organism.

Prof. James A. Marrs
Dr. Swapnalee Swapnalee Sarmah
Guest Editors

Manuscript Submission Information

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Keywords

  • disease model
  • drug screening model
  • teratogen screening
  • toxicological screening
  • neuroscience
  • behavior
  • developmental biology

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Published Papers (10 papers)

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Editorial

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4 pages, 156 KiB  
Editorial
The Genius of the Zebrafish Model: Insights on Development and Disease
by James A. Marrs and Swapnalee Sarmah
Biomedicines 2021, 9(5), 577; https://doi.org/10.3390/biomedicines9050577 - 20 May 2021
Cited by 3 | Viewed by 2703
Abstract
The zebrafish is an outstanding and inexpensive vertebrate model system for biomedical research [...] Full article
(This article belongs to the Special Issue Zebrafish Models for Development and Disease 2.0)

Research

Jump to: Editorial, Review

13 pages, 6896 KiB  
Article
Functional Role of the RNA-Binding Protein Rbm24a and Its Target sox2 in Microphthalmia
by Lindy K. Brastrom, C. Anthony Scott, Kai Wang and Diane C. Slusarski
Biomedicines 2021, 9(2), 100; https://doi.org/10.3390/biomedicines9020100 - 21 Jan 2021
Cited by 6 | Viewed by 2654
Abstract
Congenital eye defects represent a large class of disorders affecting roughly 21 million children worldwide. Microphthalmia and anophthalmia are relatively common congenital defects, with approximately 20% of human cases caused by mutations in SOX2. Recently, we identified the RNA-binding motif protein 24a (Rbm24a) [...] Read more.
Congenital eye defects represent a large class of disorders affecting roughly 21 million children worldwide. Microphthalmia and anophthalmia are relatively common congenital defects, with approximately 20% of human cases caused by mutations in SOX2. Recently, we identified the RNA-binding motif protein 24a (Rbm24a) which binds to and regulates sox2 in zebrafish and mice. Here we show that morpholino knockdown of rbm24a leads to microphthalmia and visual impairment. By utilizing sequential injections, we demonstrate that addition of exogenous sox2 RNA to rbm24a-deplete embryos is sufficient to suppress morphological and visual defects. This research demonstrates a critical role for understanding the post-transcriptional regulation of genes needed for development. Full article
(This article belongs to the Special Issue Zebrafish Models for Development and Disease 2.0)
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Graphical abstract

Graphical abstract
Full article ">Figure 1
<p>Mutation of rbm24a phenocopies morpholino knockdown. (<b>A</b>) Schematic for genetic structure of Rbm24a, with the RNA recognition motif (RRM) in blue and the Ala-rich region in green. The red line indicates the site of the Alt-R CRISPR/Cas0 mutation. (<b>B</b>) Uninjected control 4 dpf embryo with wild type morphology. (<b>B’</b>) Detail of eye shown in B. (<b>C</b>) and (<b>D</b>) are Alt-R CRISPR/Cas9-injected embryos showing the variation of the phenotypes. (<b>C’</b>) and (<b>D’</b>) are detail of eyes found in C and D, respectively. (<b>E</b>) Graph of uninjected and CRISPR-injected F0 embryos. (<b>F</b>) Synthego ICE analysis of mutations found in F0 mutants. Indels are listed. Images taken at 33×.</p>
Full article ">Figure 2
<p>Suppression of <span class="html-italic">rbm24a</span> morpholino knockdown with <span class="html-italic">rbm24a</span> RNA. (<b>A</b>) Uninjected 4 dpf embryo with wild type morphology, (<b>A’</b>) detail of eye in A. (<b>B</b>) Knockdown of <span class="html-italic">rbm24a</span> at low doses leads to microphthalmia, (<b>B’</b>) detail of eye in B, while (<b>C</b>) is a higher dose showing microphthalmia with cardiac edema, (<b>C’</b>) detail of eye in C. (<b>D</b>) Injection of <span class="html-italic">rbm24a</span> RNA yields phenotypes similar to higher dose knockdown, (<b>D’</b>) detail of eye in D. (<b>E</b>) Sequential injection of <span class="html-italic">rbm24a</span> morpholino and <span class="html-italic">rbm24a</span> RNA suppresses the phenotypes, (<b>E’</b>) detail of eye in E. (<b>F</b>) Graph of phenotypes. Images taken at 33×.</p>
Full article ">Figure 3
<p>EGFP RNA does not suppress <span class="html-italic">rbm24a</span> knockdown. (<b>A</b>) Uninjected and EGFP RNA-injected 1 dpf embryos are shown in both brightfield (top) and with a GFP filter (bottom). (<b>B</b>) Uninjected 4 dpf embryo with wild type morphology, (<b>B’</b>) detail of eye in B. (<b>C</b>) <span class="html-italic">rbm24a</span> knockdown embryos display microphthalmia with cardiac edema, (<b>C’</b>) detail of eye in C. (<b>D</b>) Sequential injection of <span class="html-italic">rbm24a</span> morpholino and EGFP RNA yields phenotypes similar to knockdown alone, (<b>D’</b>) detail of eye in D. (<b>E</b>) EGFP RNA-injected embryos are morphologically wild type, (<b>E’</b>) detail of eye in E. (<b>F</b>) Graph of phenotypes. Image A taken at 62×. Images B-E’ taken at 33×.</p>
Full article ">Figure 4
<p>Exogenous <span class="html-italic">sox2</span> can suppress <span class="html-italic">rbm24a</span>-associated microphthalmia. (<b>A</b>) Uninjected 4 dpf embryo with wild type morphology, (<b>A’</b>) detail of eye in A. (<b>B</b>) Knockdown of <span class="html-italic">rbm24a</span> at low doses leads to microphthalmia, (<b>B’</b>) detail of eye in B. (<b>C</b>) Sequential injection of <span class="html-italic">rbm24a</span> morpholino and <span class="html-italic">sox2</span> RNA results in a phenotype more similar to wild type than <span class="html-italic">rbm24a</span> morphant, (<b>C’</b>) detail of eye in C. (<b>D</b>) Injection of sox2 RNA alone results in wild type morphology, (<b>D’</b>) detail of eye in D. (<b>E</b>) Graph of phenotypes. Images taken at 33×.</p>
Full article ">Figure 5
<p>EGFP RNA does not improve visual function of <span class="html-italic">rbm24a</span> knockdown embryos. Automated startle response assay (VIZN) was performed on uninjected, <span class="html-italic">rbm24a</span> knockdown, <span class="html-italic">rbm24a</span> knockdown with EGFP RNA, and EGFP RNA larvae. Knockdown of <span class="html-italic">rbm24a</span> inhibits visual function, which was statistically significant compared to uninjected. Addition of EGFP RNA to <span class="html-italic">rbm24a</span> knockdown does not statistically significantly increase visual function when compared to <span class="html-italic">rbm24a</span> knockdown alone. Injection of EGFP RNA alone does not statistically significantly alter visual function from uninjected. Mann–Whitney *** <span class="html-italic">p</span> &lt; 0.001, **** <span class="html-italic">p</span> &lt; 0.0001. Nonsignificant interactions not shown.</p>
Full article ">Figure 6
<p>Injection of <span class="html-italic">sox2</span> RNA can partially restore visual function by VIZN to <span class="html-italic">rbm24a</span> knockdown embryos. VIZN was performed on uninjected, <span class="html-italic">rbm24a</span> knockdown, <span class="html-italic">rbm24a</span> knockdown with <span class="html-italic">sox2</span> RNA, and <span class="html-italic">sox2</span> RNA larvae. Knockdown of <span class="html-italic">rbm24a</span> statistically significantly inhibits visual function when compared to uninjected. Addition of <span class="html-italic">sox2</span> RNA to <span class="html-italic">rbm24a</span> knockdown statistically significantly improves visual function when compared to <span class="html-italic">rbm24a</span> knockdown, but not to the same level as uninjected. Injection of <span class="html-italic">sox2</span> RNA alone does not statistically significantly alter visual function from uninjected. Mann–Whitney * <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01, **** <span class="html-italic">p</span> &lt; 0.0001. Nonsignificant interactions not shown.</p>
Full article ">Figure 7
<p>Model for Rbm24a in zebrafish eye development. (<b>A</b>) Functional Rbm24a is found in the developing lens of zebrafish. There, the protein acts to bind to and stabilize <span class="html-italic">sox2</span> mRNA. This interaction leads to the development of a normal sized lens and, with reciprocal induction signaling between the lens and retina, the retina also develops normally to size-match the lens. (B) With either knockdown or mutation of <span class="html-italic">rbm24a</span>, there is lessened Rbm24a protein in the lens which in turn cannot stabilize as many <span class="html-italic">sox2</span> mRNA molecules (represented as transparent shapes). The lack of the correct amount of <span class="html-italic">sox2</span>, a proliferative factor, causes the lens to develop smaller than normal. However, reciprocal induction has not been affected, which leads to the lens and retina developing small in tandem.</p>
Full article ">
20 pages, 4190 KiB  
Article
Method Standardization for Conducting Innate Color Preference Studies in Different Zebrafish Strains
by Petrus Siregar, Stevhen Juniardi, Gilbert Audira, Yu-Heng Lai, Jong-Chin Huang, Kelvin H.-C. Chen, Jung-Ren Chen and Chung-Der Hsiao
Biomedicines 2020, 8(8), 271; https://doi.org/10.3390/biomedicines8080271 - 3 Aug 2020
Cited by 27 | Viewed by 5402
Abstract
The zebrafish has a tetrachromatic vision that is able to distinguish ultraviolet (UV) and visible wavelengths. Recently, zebrafish color preferences have gained much attention because of the easy setup of the instrument and its usefulness to screen behavior-linked stimuli. However, several published papers [...] Read more.
The zebrafish has a tetrachromatic vision that is able to distinguish ultraviolet (UV) and visible wavelengths. Recently, zebrafish color preferences have gained much attention because of the easy setup of the instrument and its usefulness to screen behavior-linked stimuli. However, several published papers dealing with zebrafish color preferences have contradicting results that underscore the importance of method standardization in this field. Different laboratories may report different results because of variations in light source, color intensity, and other parameters such as age, gender, container size, and strain of fish. In this study, we aim to standardize the color preference test in zebrafish by measuring light source position, light intensity, gender, age, animal size to space ratio, and animal strain. Our results showed that color preferences for zebrafish are affected by light position, age, strain, and social interaction of the fish, but not affected by fish gender. We validated that ethanol can significantly induce color preference alteration in zebrafish which may be related to anxiety and depression. We also explored the potential use of the optimized method to examine color preference ranking and index differences in various zebrafish strains and species, such as the tiger barb and glass catfish. In conclusion, zebrafish color preference screening is a powerful tool for high-throughput neuropharmacological applications and the standardized protocol established in this study provides a useful reference for the zebrafish research community. Full article
(This article belongs to the Special Issue Zebrafish Models for Development and Disease 2.0)
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Figure 1

Figure 1
<p>Experimental setup for color preference assay in zebrafish. (<b>A</b>) Schematic of the experimental setup and a picture of the experimental setup used for measuring zebrafish color preference in this study. (<b>B</b>) Schematic showing the position of the luminometer to measure the top and bottom light intensity. (<b>C</b>) Comparison of the images collected from regular Couple-charged device (CCD) (top) and infrared CCD cameras (bottom). (<b>D</b>) Experimental design and specific aims of this study. (<b>E</b>) Schematic illustrating tank area with color plate combination and color blank design.</p>
Full article ">Figure 2
<p>The effect of light intensity and light source position on the zebrafish swimming activity choice index. (<b>A</b>–<b>C</b>) The effect of different light intensity on the zebrafish swimming activity choice index. (<b>A</b>) White and grey combination, (<b>B</b>) white and black combination, (<b>C</b>) grey and black combination. (<b>D</b>–<b>I</b>) The effect of different color and light position on the zebrafish swimming activity choice index. (<b>D</b>) Green vs. blue combination, (<b>E</b>) green vs. yellow combination, (<b>F</b>) red vs. blue combination, (<b>G</b>) green vs. red combination, (<b>H</b>) red vs. yellow combination, (<b>I</b>) blue vs. yellow combination. (<b>J</b>,<b>K</b>) Schematic showing the light source positions either from the bottom or on top. The light intensity was measured by using a luminometer. The data are presented as mean ± SEM, <span class="html-italic">n</span> = 24 for each group. The difference was tested by one-way ANOVA and the significance level was set at, **** <span class="html-italic">p</span> &lt; 0.0001. n.s. = non-significant.</p>
Full article ">Figure 3
<p>The effect of different tank sizes on the zebrafish swimming activity choice index. (<b>A</b>) Green vs. blue combination, (<b>B</b>) green vs. yellow combination, (<b>C</b>) red vs. blue combination, (<b>D</b>) green vs. red combination, (<b>E</b>) red vs. yellow combination, (<b>F</b>) blue vs. yellow combination. (<b>G</b>,<b>H</b>) Schematics showing two settings with different fish-to-tank ratios for assessment of the fish density effect. The data are presented as mean ± SEM, <span class="html-italic">n</span> = 24 for each group. The difference was tested by one-way ANOVA. n.s. = non-significant.</p>
Full article ">Figure 4
<p>The effect of social interaction and gender on color preference using the top light source. (<b>A</b>) The effect of the single fish compared with multiple fish in a single tank on color preference using a blank-color partition. (<b>B</b>) The effect of gender on color preference using the light source on top. (<b>C</b>–<b>H</b>) The effect of social interaction on color preference using color combinations. (<b>C</b>) Green vs. blue combination, (<b>D</b>) green vs. yellow combination, (<b>E</b>) red vs. blue combination, (<b>F</b>) green vs. red combination, (<b>G</b>) red vs. yellow combination, (<b>H</b>) blue vs. yellow combination. (<b>I</b>) Schematics showing two settings in which either single or multiple fish were kept in a single tested tank. (<b>J</b>) Schematics showing two settings in which either six male or female fishes were kept in a single tested tank. The data are presented as mean ± SEM, <span class="html-italic">n</span> = 24 for each group. The difference was tested by one-way ANOVA and the significance level was set at * <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01, **** <span class="html-italic">p</span> &lt; 0.0001. n.s. = non-significant.</p>
Full article ">Figure 5
<p>The effect of different ages on zebrafish color preference using the light source on top. (<b>A</b>) Green vs. blue combination, (<b>B</b>) green vs. yellow combination, (<b>C</b>) red vs. blue combination, (<b>D</b>) green vs. red combination, (<b>E</b>) red vs. yellow combination, (<b>F</b>) blue vs. yellow combination. (<b>G</b>) Schematics showing three settings with zebrafishes aged at either 3, 5 or 12 months old. The experiment was conducted with six zebrafishes inside one tank. The data are presented as mean ± SEM, <span class="html-italic">n</span> = 24 for each group. The difference was tested by one-way ANOVA and the significance level was set at * <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01, **** <span class="html-italic">p</span> &lt; 0.0001. n.s. = non-significant.</p>
Full article ">Figure 6
<p>Color preference ranking and index difference between six different zebrafish strains. The color preference index for the (<b>A</b>) green vs. blue, (<b>B</b>) green vs. yellow, (<b>C</b>) red vs. blue, (<b>D</b>) green vs. red, (<b>E</b>) red vs. yellow, (<b>F</b>) and blue vs. yellow combinations. The data are presented as mean ± SEM, <span class="html-italic">n</span> = 24 for each strain, except for the Wild Indian Karyotype (WIK) strain (<span class="html-italic">n</span> = 12). The difference was tested by one-way ANOVA and the significance level was set at * <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01, *** <span class="html-italic">p</span> &lt; 0.001, **** <span class="html-italic">p</span> &lt; 0.0001. n.s. = non-significant.</p>
Full article ">Figure 7
<p>Color preference ranking and index difference for the tiger barb (<span class="html-italic">Puntigrus tetrazona</span>) and glass catfish (<span class="html-italic">Kryptopterus vitreolus</span>). The color preference index for the (<b>A</b>) green vs. blue, (<b>B</b>) green vs. yellow, (<b>C</b>) red vs. blue, (<b>D</b>) green vs. red, (<b>E</b>) red vs. yellow, (<b>F</b>) and blue vs. yellow combinations. The data are presented as mean ± SEM, <span class="html-italic">n</span> = 24 for each fish species. The difference was tested by one-way ANOVA and the significance level was set at *** <span class="html-italic">p</span> &lt; 0.001, **** <span class="html-italic">p</span> &lt; 0.0001. n.s. = non-significant.</p>
Full article ">Figure 8
<p>The effect of 1% ethanol on wild-type zebrafish with the light source on top. The ethanol at 1% concentration was systematically administered to zebrafish and their color preference changes were chronologically measured at 24 and 96 h. (<b>A</b>) Green vs. blue combination, (<b>B</b>) green vs. yellow combination, (<b>C</b>) red vs. blue combination, (<b>D</b>) green vs. red combination, (<b>E</b>) red vs. yellow combination, (<b>F</b>) blue vs. yellow combination. (<b>G</b>) Schematics showing three settings with either control or 1% ethanol exposure for 24 h or 96 h. The data are presented as mean ± SEM, control (<span class="html-italic">n</span> = 24); 1% ethanol, 24h (<span class="html-italic">n</span> = 12); 1% ethanol, 96h (<span class="html-italic">n</span> = 12). The difference was tested by one-way ANOVA and the significance level was set at **** <span class="html-italic">p</span> &lt; 0.0001. n.s. = non-significant.</p>
Full article ">Figure A1
<p>Instrument setting used to perform the color preference test in zebrafish.</p>
Full article ">
31 pages, 24183 KiB  
Article
Orthosiphon stamineus Proteins Alleviate Pentylenetetrazol-Induced Seizures in Zebrafish
by Yin-Sir Chung, Brandon Kar Meng Choo, Pervaiz Khalid Ahmed, Iekhsan Othman and Mohd. Farooq Shaikh
Biomedicines 2020, 8(7), 191; https://doi.org/10.3390/biomedicines8070191 - 2 Jul 2020
Cited by 14 | Viewed by 3495
Abstract
The anticonvulsive potential of proteins extracted from Orthosiphon stamineus leaves (OSLP) has never been elucidated in zebrafish (Danio rerio). This study thus aims to elucidate the anticonvulsive potential of OSLP in pentylenetetrazol (PTZ)-induced seizure model. Physical changes (seizure score and seizure [...] Read more.
The anticonvulsive potential of proteins extracted from Orthosiphon stamineus leaves (OSLP) has never been elucidated in zebrafish (Danio rerio). This study thus aims to elucidate the anticonvulsive potential of OSLP in pentylenetetrazol (PTZ)-induced seizure model. Physical changes (seizure score and seizure onset time, behavior, locomotor) and neurotransmitter analysis were elucidated to assess the pharmacological activity. The protective mechanism of OSLP on brain was also studied using mass spectrometry-based label-free proteomic quantification (LFQ) and bioinformatics. OSLP was found to be safe up to 800 µg/kg and pre-treatment with OSLP (800 µg/kg, i.p., 30 min) decreased the frequency of convulsive activities (lower seizure score and prolonged seizure onset time), improved locomotor behaviors (reduced erratic swimming movements and bottom-dwelling habit), and lowered the excitatory neurotransmitter (glutamate). Pre-treatment with OSLP increased protein Complexin 2 (Cplx 2) expression in the zebrafish brain. Cplx2 is an important regulator in the trans-SNARE complex which is required during the vesicle priming phase in the calcium-dependent synaptic vesicle exocytosis. Findings in this study collectively suggests that OSLP could be regulating the release of neurotransmitters via calcium-dependent synaptic vesicle exocytosis mediated by the “Synaptic Vesicle Cycle” pathway. OSLP’s anticonvulsive actions could be acting differently from diazepam (DZP) and with that, it might not produce the similar cognitive insults such as DZP. Full article
(This article belongs to the Special Issue Zebrafish Models for Development and Disease 2.0)
Show Figures

Figure 1

Figure 1
<p>Shows the procedures of experiment.</p>
Full article ">Figure 2
<p>Representative swim paths for the corresponding 6 experimental groups (<span class="html-italic">n</span> = 8). (<b>a</b>) VC (tank water only, i.p.), (<b>b</b>) OSLP (50 μg/kg, i.p.), (<b>c</b>) OSLP (100 μg/kg, i.p.), (<b>d</b>) OSLP (200 μg/kg, i.p.), (<b>e</b>) OSLP (400 μg/kg, i.p.) and (<b>f</b>) OSLP (800 μg/kg, i.p.).</p>
Full article ">Figure 3
<p>Mean locomotion parameters over 600 s for all the experimental groups. Figure (<b>a</b>) represents the mean total distance travelled (cm), Figure (<b>b</b>) shows the mean time spent in upper zone (s) and Figure (<b>c</b>) displays the mean time spent in lower zone (s). The data are expressed as Mean ± SEM, <span class="html-italic">n</span> = 8 and was analyzed using One-way ANOVA followed with Dunnett’s post-hoc test at significance level of ** <span class="html-italic">p</span> &lt; 0.01 against the VC group (tank water only, i.p.).</p>
Full article ">Figure 4
<p>Representative swimming patterns for the corresponding 5 experimental groups (<span class="html-italic">n</span> = 10). VC ((<b>a</b>) tank water, i.p.), NC ((<b>b</b>) PTZ 170 mg/kg, i.p.), PC ((<b>c</b>) DZP 1.25 mg/kg + PTZ 170 mg/kg, i.p.), O+P ((<b>d</b>) OSLP 800 µg/kg + PTZ 170 mg/kg, i.p.) and TC ((<b>e</b>) OSLP 800 µg/kg + tank water, i.p.).</p>
Full article ">Figure 5
<p>Mean seizure scores and mean seizure onset time (s) for the corresponding 5 experimental groups. Data are mean ± SEM. Experiments were repeated in <span class="html-italic">n</span> = 10, *** showed <span class="html-italic">p</span> &lt; 0.001 against negative control. One-way ANOVA with Dunnett’s post-hoc test. VC (tank water, i.p.), NC (PTZ 170 mg/kg, i.p.), PC (DZP 1.25 mg/kg + PTZ 170 mg/kg, i.p.), O+P (OSLP 800 µg/kg + PTZ 170 mg/kg, i.p.) and TC (OSLP 800 µg/kg + tank water, i.p.).</p>
Full article ">Figure 6
<p>Mean locomotion parameters over 600 s for all the experimental groups. Figure (<b>a</b>) represents the mean total distance travelled (cm), Figure (<b>b</b>) shows the mean time spent in upper zone (s) and Figure (<b>c</b>) displays the mean time spent in lower zone (s). The data are expressed as Mean ± SEM, <span class="html-italic">n</span> = 10 and was analyzed using One-way ANOVA followed with Dunnett’s post-hoc test at significance level of * <span class="html-italic">p</span> &lt; 0.05 and ** <span class="html-italic">p</span> &lt; 0.01 against the negative control group (NC, PTZ 170 mg/kg). VC (tank water, i.p.), PC (DZP 1.25 mg/kg + PTZ 170 mg/kg, i.p.), O+P (OSLP 800 µg/kg + PTZ 170 mg/kg, i.p.) and TC (OSLP 800 µg/kg + tank water, i.p.).</p>
Full article ">Figure 7
<p>Mean neurotransmitter levels (ng/mL), namely GABA (<b>a</b>), glutamate (<b>b</b>) and GABA/Glu ratio (<b>c</b>) over 600 s for all the experimental groups. The data are expressed as Mean ± SEM, <span class="html-italic">n</span> = 10 and was analyzed using One-way ANOVA followed with Dunnett’s post-hoc test at significance level of * <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01 and *** <span class="html-italic">p</span> &lt; 0.001 against the negative control group (NC, PTZ 170 mg/kg). VC (tank water, i.p.), PC (DZP 1.25 mg/kg + PTZ 170 mg/kg, i.p.), O+P (OSLP 800 µg/kg + PTZ 170 mg/kg, i.p.) and TC (OSLP 800 µg/kg + tank water, i.p.).</p>
Full article ">Figure 8
<p>Heat map shows the differentially expressed proteins identified from negative control (NC, PTZ 170 mg/kg only) and O+P (OSLP 800 µg/kg + PTZ 170 mg/kg) zebrafish brains, <span class="html-italic">n</span> = 4, significance ≥ 20, FDR ≤ 1%, fold change ≥ 1, unique peptide ≥ 1. Protein names are listed on the left while experimental groups are indicated on top. The color key on the bottom right indicates the log2 (ratio) expression levels (green = low and red = high).</p>
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<p>BiNGO result for cellular component as visualized in Cytoscape (Organism: <span class="html-italic">Danio rerio</span>). Colored nodes are significantly overrepresented. White nodes are not significantly overrepresented; they are included to show the colored nodes in the context of the GO hierarchy. Color key on the bottom right indicates the significance level of overrepresentation.</p>
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<p>BiNGO result for molecular function as visualized in Cytoscape (Organism: <span class="html-italic">Danio rerio</span>). Colored nodes are significantly overrepresented. White nodes are not significantly overrepresented; they are included to show the colored nodes in the context of the GO hierarchy. Color key on the bottom right indicates the significance level of overrepresentation.</p>
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<p>Complexin 2 in green box was mapped onto the synaptic vesicle cycle pathway (04721) generated by KEGG PATHWAY (Organism: <span class="html-italic">Danio rerio</span>). Solid arrows represent molecular interactions or relations whereas dashed arrows represent indirect links or unknown reactions.</p>
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15 pages, 2435 KiB  
Article
Early Exposure to THC Alters M-Cell Development in Zebrafish Embryos
by Md Ruhul Amin, Kazi T. Ahmed and Declan W. Ali
Biomedicines 2020, 8(1), 5; https://doi.org/10.3390/biomedicines8010005 - 4 Jan 2020
Cited by 17 | Viewed by 5628
Abstract
Cannabis is one of the most commonly used illicit recreational drugs that is often taken for medicinal purposes. The psychoactive ingredient in cannabis is Δ9-Tetrahydrocannabinol (Δ9-THC, hereafter referred to as THC), which is an agonist at the endocannabinoid receptors [...] Read more.
Cannabis is one of the most commonly used illicit recreational drugs that is often taken for medicinal purposes. The psychoactive ingredient in cannabis is Δ9-Tetrahydrocannabinol (Δ9-THC, hereafter referred to as THC), which is an agonist at the endocannabinoid receptors CB1R and CB2R. Here, we exposed zebrafish embryos to THC during the gastrulation phase to determine the long-term effects during development. We specifically focused on reticulospinal neurons known as the Mauthner cells (M-cell) that are involved in escape response movements. The M- cells are born during gastrulation, thus allowing us to examine neuronal morphology of neurons born during the time of exposure. After the exposure, embryos were allowed to develop normally and were examined at two days post-fertilization for M-cell morphology and escape responses. THC treated embryos exhibited subtle alterations in M-cell axon diameter and small changes in escape response dynamics to touch. Because escape responses were altered, we also examined muscle fiber development. The fluorescent labelling of red and white muscle fibers showed that while muscles were largely intact, the fibers were slightly disorganized with subtle but significant changes in the pattern of expression of nicotinic acetylcholine receptors. However, there were no overt changes in the expression of nicotinic receptor subunit mRNA ascertained by qPCR. Embryos were allowed to further develop until 5 dpf, when they were examined for overall levels of movement. Animals exposed to THC during gastrulation exhibited reduced activity compared with vehicle controls. Together, these findings indicate that zebrafish exposed to THC during the gastrula phase exhibit small changes in neuronal and muscle morphology that may impact behavior and locomotion. Full article
(This article belongs to the Special Issue Zebrafish Models for Development and Disease 2.0)
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<p>Δ<sup>9</sup>-Tetrahydrocannabinol (THC) exposure reduces M-cell axonal diameter. (<b>A</b>,<b>G</b>) Immunolabeling of M-cells with anti-3A10 and anti-RMO44 in a vehicle-treated embryo; (<b>B</b>,<b>H</b>) Higher magnification of M-cell body and axon of vehicle-treated embryos. White arrow shows the cell body of the M-cell. (<b>C</b>,<b>I</b>) Bar graph of the width of an M-cell body in vehicle and THC treated embryos. (<b>D</b>,<b>J</b>) Immunolabeling of M-cells with anti-3A10 and anti-RMO44 in a THC-treated (6 mg/L) embryo; (<b>E</b>,<b>K</b>) Higher magnification of M-cell body and axon of a THC-treated embryo. Red arrow points to the proximal axon immediately anterior to the decussation point. (<b>F</b>,<b>L</b>) Bar graph of the diameter of M-cell axons slightly anterior to the decussation point in vehicle and THC-treated embryos. ** Significantly different from vehicle control, <span class="html-italic">p</span> &lt; 0.005. *** significantly different from vehicle control, <span class="html-italic">p</span> &lt; 0.001.</p>
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<p>Exposure to THC during gastrulation alters escape response parameters. Analysis and quantification of C-bend parameters was carried out at 2 dpf. Zebrafish embryos exhibit a C-bend in response to a jet of water directed at the head just behind the eyes. (<b>A</b>) Bar graph shows the maximum angle of bend for vehicle and THC-treated (6 mg/L) embryos. (<b>B</b>) Shows the instantaneous peak speed (mm/s) during c-bend. (<b>C</b>) Shows the instantaneous peak acceleration during C-bend. (<b>D</b>) Bar graph showing the time for the tail to bend to the maximum angle. * Significantly different from vehicle control, <span class="html-italic">p</span> &lt; 0.05.</p>
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<p>Co-labeling of red muscle fibers and nAChRs using anti-F59 and Alexa 488 conjugated α-bungarotoxin respectively. (<b>A</b>) α-Bungarotoxin labelled nAChRs associated with red muscle fibers in vehicle-treated embryos. (<b>B</b>) Anti-F-59 labelled muscle fibers. Red arrows point to the edge of a muscle fiber. Inset shows muscle fibers at higher magnification to better determine the size of the fiber. (<b>C</b>) Merged image showing the co-labeled red muscle fiber and nAChR in vehicle-treated animals. (<b>D</b>) α-bungarotoxin labelled nAChRs associated with red muscle fibers in THC-treated (6 mg/L) embryos. White arrow shows the cluster of nAChRs. (<b>E</b>) Anti-F59 labelled muscle fibers. Red arrows point to the edge of a muscle fiber. Inset shows muscle fibers at higher magnification to better determine the size of the fiber. (<b>F</b>) Merged image showing the co-labeled red muscle fiber and nAChR in THC-treated animals. (<b>G</b>) Bar graph showing the diameter of red fibers for vehicle and THC treated embryos and (<b>H</b>) Measurement of red fiber length. *** significantly different from vehicle control, <span class="html-italic">p</span> &lt; 0.001.</p>
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<p>Co-labeling of white muscle fibers and nAChRs using anti-F310 and Alexa 488 conjugated α-bungarotoxin respectively. (<b>A</b>) α-Bungarotoxin labelled nAChRs associated with white muscle fibers in vehicle-treated embryos. White arrow shows clusters of nAChRs. (<b>B</b>) Anti-F-59 labelled muscle fibers. Red arrows point to the edge of a muscle fiber. Inset shows muscle fibers at higher magnification to better determine the size of the fiber. (<b>C</b>) Merged image showing the co-labeled white muscle fiber and nAChR in vehicle-treated animals. (<b>D</b>) α-bungarotoxin labelled nAChRs associated with white muscle fibers in THC-treated (6 mg/L) embryos. White arrow shows clusters of nAChRs. (<b>E</b>) Anti-F310 labelled muscle fibers. Red arrows point to the edge of a muscle fiber. Inset shows muscle fibers at higher magnification to better determine the size of the fiber. (<b>F</b>) Merged image showing the co-labeled white muscle fiber and nAChR in THC-treated animals. (<b>G</b>) Bar graph showing the diameter of white fibers for vehicle and THC treated embryos and (<b>H</b>) Measurement of white fiber length. *** significantly different from vehicle control, <span class="html-italic">p</span> &lt; 0.001.</p>
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<p>The relative levels of nAChR subunits (<span class="html-italic">α</span>1, <span class="html-italic">γ</span> and <span class="html-italic">ε</span>) mRNAs were analyzed by real-time qPCR. The relative expression was measured from vehicle control and THC treated embryos using expression in vehicle control as calibrator. (<b>A</b>) The relative level of α1 nAChR expression from vehicle and THC treated embryos. (<b>B</b>,<b>C</b>) The relative expression of γ and ε, respectively. Data are expressed as the mean ± SE for individual groups (<span class="html-italic">n</span> = 5).</p>
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<p>THC exposure affects free swimming activity (locomotion) of zebrafish embryos at 5 dpf. Bar graphs display changes in larval mean distance moved (<b>A</b>), mean velocity (in mm/s for one hour) (<b>B</b>), mean activity (% rate for one hour) (<b>C</b>), and frequency of swim bouts within one hour (<b>D</b>). *** significantly different from vehicle control, <span class="html-italic">p</span> &lt; 0.001.</p>
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15 pages, 5232 KiB  
Article
Intracellular Localization in Zebrafish Muscle and Conserved Sequence Features Suggest Roles for Gelatinase A Moonlighting in Sarcomere Maintenance
by Amina M. Fallata, Rachael A. Wyatt, Julie M. Levesque, Antoine Dufour, Christopher M. Overall and Bryan D. Crawford
Biomedicines 2019, 7(4), 93; https://doi.org/10.3390/biomedicines7040093 - 29 Nov 2019
Cited by 18 | Viewed by 3730
Abstract
Gelatinase A (Mmp2 in zebrafish) is a well-characterized effector of extracellular matrix remodeling, extracellular signaling, and along with other matrix metalloproteinases (MMPs) and extracellular proteases, it plays important roles in the establishment and maintenance of tissue architecture. Gelatinase A is also found moonlighting [...] Read more.
Gelatinase A (Mmp2 in zebrafish) is a well-characterized effector of extracellular matrix remodeling, extracellular signaling, and along with other matrix metalloproteinases (MMPs) and extracellular proteases, it plays important roles in the establishment and maintenance of tissue architecture. Gelatinase A is also found moonlighting inside mammalian striated muscle cells, where it has been implicated in the pathology of ischemia-reperfusion injury. Gelatinase A has no known physiological function in muscle cells, and its localization within mammalian cells appears to be due to inefficient recognition of its N-terminal secretory signal. Here we show that Mmp2 is abundant within the skeletal muscle cells of zebrafish, where it localizes to the M-line of sarcomeres and degrades muscle myosin. The N-terminal secretory signal of zebrafish Mmp2 is also challenging to identify, and this is a conserved characteristic of gelatinase A orthologues, suggesting a selective pressure acting to prevent the efficient secretion of this protease. Furthermore, there are several strongly conserved phosphorylation sites within the catalytic domain of gelatinase A orthologues, some of which are phosphorylated in vivo, and which are known to regulate the activity of this protease. We conclude that gelatinase A likely participates in uncharacterized physiological functions within the striated muscle, possibly in the maintenance of sarcomere proteostasis, that are likely regulated by kinases and phosphatases present in the sarcomere. Full article
(This article belongs to the Special Issue Zebrafish Models for Development and Disease 2.0)
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<p>Mmp2 is expressed ubiquitously from early development and accumulates in a striated pattern within the skeletal muscle. (<b>A</b>) Composite confocal projections of a 72 hpf embryo stained with anti-Mmp2 exhibiting labeling throughout the embryo with notable accumulation in the skeletal muscle (scale bar = 200 µm). (<b>B</b>) High magnification view of a single confocal section through the trunk musculature (indicated by the inset) showing strong labeling of the myotome boundary (upper left corner), and striated staining in myofibrils (scale bar = 10 µm). (<b>C</b>) RNASeq data showing absolute abundance of <span class="html-italic">mmp2</span> transcripts in embryos from fertilization to five days post-fertilization (dpf). (<b>D</b>) Immunoblot of whole embryo homogenates (350 µg per lane) made from 2 hpf (cleavage), 5 hpf (50% epiboly), 12 hpf (early somitogenesis), 18 hpf (late somitogenesis), 24 hpf (prim-5), 48 hpf (long pec), and 72 hpf (protruding mouth) embryos probed with anti-Mmp2. Immunoreactivity is detected in embryos after 12 h of development, with bands at the expected mobility for full-length Mmp2 (72 kD) and stronger bands at 44 and 20 kD, which combine to give the expected size for activated Mmp2 (64 kD).</p>
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<p>Mmp2 is localized between Z-discs in sarcomeres of embryonic and adult muscle. Confocal micrographs of skeletal muscle from 72 hpf embryos (<b>A</b>) or adults (<b>B</b>), and 500 nm thick cryosection of 72 hpf skeletal muscle (<b>C</b>) stained with anti-α-actinin (<b>red</b>) and anti-Mmp2 (<b>green</b>). Greyscale intensity profiles of both channels along a line drawn perpendicular to the sarcomeres are shown below each micrograph. Mmp2 immunoreactivity occurs at regularly spaced intervals precisely between the α-actinin-labeled Z-discs. Scale bars = 10 µm.</p>
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<p>Sarcomeric Mmp2 begins to accumulate subsequent to the assembly of Z-disks. (<b>A</b>) Confocal section through the trunk musculature of a 24 hpf embryo posterior to the yolk extension, at the position at which myofibrils are differentiating. (<b>B</b>) Sarcomeric α-actinin (<b>red</b>) is beginning to become apparent as Z-bodies in the periphery of differentiating myocytes, but Mmp2 immunoreactivity (<b>green</b>) remains roughly homogeneously distributed. Greyscale intensity profiles of both channels along a line drawn through the periphery of a differentiating myocyte are shown below the micrograph. Scale bar = 10 µm.</p>
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<p>The secretory signal peptide of gelatinase A orthologues is consistently and significantly less likely to be recognized than that of most other type-I secreted proteins. Violin plots of mean ‘S’ scores of the N-terminal secretory signals from orthologues of vitronectin (Vtn) and all secreted MMPs. MMPs with mean S score statistically indistinguishable from vitronectin are shown in blue. Mean S scores for orthologues of gelatinase A (red) are significantly lower than those of vitronectin and other secreted MMPs apart from MMP21 and MMP23, which undergoes type II secretion and therefore, does not have an N-terminal secretory signal. Statistically, indistinguishable groups are indicated with letters at the top of the plot, and the number of orthologues of each protein analyzed is indicated along the <span class="html-italic">x</span>-axis.</p>
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<p>Gelatinase A orthologues have highly conserved phosphorylation sites. Putative serine (solid lines), threonine (dashed lines), and tyrosine (dotted lines) phosphorylation sites conserved in 100% (<b>black</b>), 99% (<b>dark grey</b>), or 97% (<b>light grey</b>) of gelatinase A orthologues are shown with respect to a structural schematic of the gelatinase A protein, illustrating the signal sequence (1–29 (<b>orange</b>)), propeptide (30–107 (<b>grey</b>)), catalytic domain (118–446 (<b>green</b>)) with fibronectin-like repeats (light green), and hemopexin-like domain (463–657 (<b>purple</b>)). Cysteines are indicated with yellow spots, connected by horizontal lines if they are predicted to participate in intramolecular disulfide bonds. Conserved residues that have been empirically demonstrated to be phosphorylated in vivo in the human protein are indicated with asterisks.</p>
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Review

Jump to: Editorial, Research

18 pages, 1167 KiB  
Review
Zebra-Fishing for Regenerative Awakening in Mammals
by Laura Massoz, Marie Alice Dupont and Isabelle Manfroid
Biomedicines 2021, 9(1), 65; https://doi.org/10.3390/biomedicines9010065 - 12 Jan 2021
Cited by 6 | Viewed by 4638
Abstract
Regeneration is defined as the ability to regrow an organ or a tissue destroyed by degeneration or injury. Many human degenerative diseases and pathologies, currently incurable, could be cured if functional tissues or cells could be restored. Unfortunately, humans and more generally mammals [...] Read more.
Regeneration is defined as the ability to regrow an organ or a tissue destroyed by degeneration or injury. Many human degenerative diseases and pathologies, currently incurable, could be cured if functional tissues or cells could be restored. Unfortunately, humans and more generally mammals have limited regenerative capabilities, capacities that are even further declining with age, contrary to simpler organisms. Initially thought to be lost during evolution, several studies have revealed that regenerative mechanisms are still present in mammals but are latent and thus they could be stimulated. To do so there is a pressing need to identify the fundamental mechanisms of regeneration in species able to efficiently regenerate. Thanks to its ability to regenerate most of its organs and tissues, the zebrafish has become a powerful model organism in regenerative biology and has recently engendered a number of studies attesting the validity of awakening the regenerative potential in mammals. In this review we highlight studies, particularly in the liver, pancreas, retina, heart, brain and spinal cord, which have identified conserved regenerative molecular events that proved to be beneficial to restore murine and even human cells and which helped clarify the real clinical translation potential of zebrafish research to mammals. Full article
(This article belongs to the Special Issue Zebrafish Models for Development and Disease 2.0)
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<p>Workflow from zebrafish to mammals. Created with Biorender.com.</p>
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<p>Summary of regenerative mechanisms identified in zebrafish which are able to awake the regenerative potential in mammals in the brain, the spine, the retina, the pancreas, the liver and the heart. The up-headed (vs. back-headed) arrows mean that the expression is upregulated (vs. downregulated) in zebrafish after injury. Factors highlighted in green exert positive effect in regeneration, those in red impair regeneration. Created with Biorender.com.</p>
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23 pages, 1176 KiB  
Review
An Overview of Methods for Cardiac Rhythm Detection in Zebrafish
by Fiorency Santoso, Ali Farhan, Agnes L. Castillo, Nemi Malhotra, Ferry Saputra, Kevin Adi Kurnia, Kelvin H.-C. Chen, Jong-Chin Huang, Jung-Ren Chen and Chung-Der Hsiao
Biomedicines 2020, 8(9), 329; https://doi.org/10.3390/biomedicines8090329 - 4 Sep 2020
Cited by 25 | Viewed by 8260
Abstract
The heart is the most important muscular organ of the cardiovascular system, which pumps blood and circulates, supplying oxygen and nutrients to peripheral tissues. Zebrafish have been widely explored in cardiotoxicity research. For example, the zebrafish embryo has been used as a human [...] Read more.
The heart is the most important muscular organ of the cardiovascular system, which pumps blood and circulates, supplying oxygen and nutrients to peripheral tissues. Zebrafish have been widely explored in cardiotoxicity research. For example, the zebrafish embryo has been used as a human heart model due to its body transparency, surviving several days without circulation, and facilitating mutant identification to recapitulate human diseases. On the other hand, adult zebrafish can exhibit the amazing regenerative heart muscle capacity, while adult mammalian hearts lack this potential. This review paper offers a brief description of the major methodologies used to detect zebrafish cardiac rhythm at both embryonic and adult stages. The dynamic pixel change method was mostly performed for the embryonic stage. Other techniques, such as kymography, laser confocal microscopy, artificial intelligence, and electrocardiography (ECG) have also been applied to study heartbeat in zebrafish embryos. Nevertheless, ECG is widely used for heartbeat detection in adult zebrafish since ECG waveforms’ similarity between zebrafish and humans is prominent. High-frequency ultrasound imaging (echocardiography) and modern electronic sensor tag also have been proposed. Despite the fact that each method has its benefits and limitations, it is proved that zebrafish have become a promising animal model for human cardiovascular disease, drug pharmaceutical, and toxicological research. Using those tools, we conclude that zebrafish behaviors as an excellent small animal model to perform real-time monitoring for the developmental heart process with transparent body appearance, to conduct the in vivo cardiovascular performance and gene function assays, as well as to perform high-throughput/high content drug screening. Full article
(This article belongs to the Special Issue Zebrafish Models for Development and Disease 2.0)
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<p>Summary of different methods used to measure cardiac rhythm in either embryo (upper red panel) or adult (bottom green panel) zebrafish. Several methods based on either dynamic pixel change or kymograph are proposed in the embryonic stage of zebrafish. Some commercial third-party software is also available for cardiac rhythm measurement. In adult zebrafish, some instruments like Electrocardiography (ECG), Echocardiography (Echo), and Magnetic Resonance Imaging (MRI) can be used for cardiac rhythm measurement.</p>
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<p>The Electrocardiography (ECG) waveform in adult zebrafish. (<b>A</b>) The waveform analysis of ECG. (<b>B</b>) Tachycardia (upper panel), normal (middle panel), and bradycardia (lower panel) heart pattern was shown according to a previous publication [<a href="#B73-biomedicines-08-00329" class="html-bibr">73</a>].</p>
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18 pages, 727 KiB  
Review
Marijuana and Opioid Use during Pregnancy: Using Zebrafish to Gain Understanding of Congenital Anomalies Caused by Drug Exposure during Development
by Swapnalee Sarmah, Marilia Ribeiro Sales Cadena, Pabyton Gonçalves Cadena and James A. Marrs
Biomedicines 2020, 8(8), 279; https://doi.org/10.3390/biomedicines8080279 - 8 Aug 2020
Cited by 8 | Viewed by 5027
Abstract
Marijuana and opioid addictions have increased alarmingly in recent decades, especially in the United States, posing threats to society. When the drug user is a pregnant mother, there is a serious risk to the developing baby. Congenital anomalies are associated with prenatal exposure [...] Read more.
Marijuana and opioid addictions have increased alarmingly in recent decades, especially in the United States, posing threats to society. When the drug user is a pregnant mother, there is a serious risk to the developing baby. Congenital anomalies are associated with prenatal exposure to marijuana and opioids. Here, we summarize the current data on the prevalence of marijuana and opioid use among the people of the United States, particularly pregnant mothers. We also summarize the current zebrafish studies used to model and understand the effects of these drug exposures during development and to understand the behavioral changes after exposure. Zebrafish experiments recapitulate the drug effects seen in human addicts and the birth defects seen in human babies prenatally exposed to marijuana and opioids. Zebrafish show great potential as an easy and inexpensive model for screening compounds for their ability to mitigate the drug effects, which could lead to new therapeutics. Full article
(This article belongs to the Special Issue Zebrafish Models for Development and Disease 2.0)
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<p>Schematic representations of drug use/abuse during pregnancy and birth outcomes. In utero exposure to Δ9-tetrahydrocannabinol (THC), cannabidiol (CBD) or opioids leads to congenital malformations and behavioral changes in babies. Exposure to cannabinoids or opioids during zebrafish development produced similar defects in embryos.</p>
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13 pages, 541 KiB  
Review
Studying the Pathophysiology of Parkinson’s Disease Using Zebrafish
by Lisa M. Barnhill, Hiromi Murata and Jeff M. Bronstein
Biomedicines 2020, 8(7), 197; https://doi.org/10.3390/biomedicines8070197 - 7 Jul 2020
Cited by 27 | Viewed by 6179
Abstract
Parkinson’s disease is a common neurodegenerative disorder leading to severe disability. The clinical features reflect progressive neuronal loss, especially involving the dopaminergic system. The causes of Parkinson’s disease are slowly being uncovered and include both genetic and environmental insults. Zebrafish have been a [...] Read more.
Parkinson’s disease is a common neurodegenerative disorder leading to severe disability. The clinical features reflect progressive neuronal loss, especially involving the dopaminergic system. The causes of Parkinson’s disease are slowly being uncovered and include both genetic and environmental insults. Zebrafish have been a valuable tool in modeling various aspects of human disease. Here, we review studies utilizing zebrafish to investigate both genetic and toxin causes of Parkinson’s disease. They have provided important insights into disease mechanisms and will be of great value in the search for disease-modifying therapies. Full article
(This article belongs to the Special Issue Zebrafish Models for Development and Disease 2.0)
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<p>Summary of the proposed pathogenic pathways leading to Parkinson’s disease. The genes and toxins that have been studied in zebrafish are listed in the pathways that they likely influence. Protein degradation refers to autophagy and the ubiquitin proteasome system. ROS refers to reactive oxygen species. ALDH refers to aldehyde dehydrogenase. DOPAL refers to 3,4-Dihydroxyphenylacetaldehyde and DOPAC is 3,4-Dihydroxyphenylacetic acid.</p>
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