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<article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" article-type="review-article">
<front>
<journal-meta>
<journal-id journal-id-type="nlm-ta">Exploration of Digestive Diseases</journal-id>
<journal-title-group>
<journal-title>Exploration of Digestive Diseases</journal-title>
</journal-title-group>
<issn pub-type="epub">2833-6321</issn>
<publisher>
<publisher-name>Open Exploration</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="publisher-id">100517</article-id>
<article-id pub-id-type="doi">10.37349/edd.2023.00017</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Review</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>Zebrafish as a model for drug induced liver injury: state of the art and beyond</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-6356-5979</contrib-id>
<name>
<surname>Cakan-Akdogan</surname>
<given-names>Gulcin</given-names>
</name>
<xref ref-type="aff" rid="I1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="I2">
<sup>2</sup>
</xref>
<xref ref-type="corresp" rid="cor1">
<sup>*</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<contrib-id contrib-id-type="orcid">https://orcid.org/0009-0006-1393-0620</contrib-id>
<name>
<surname>Aftab</surname>
<given-names>Abdul Moiz</given-names>
</name>
<xref ref-type="aff" rid="I3">
<sup>3</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<contrib-id contrib-id-type="orcid">https://orcid.org/0009-0003-0635-9495</contrib-id>
<name>
<surname>Cinar</surname>
<given-names>Muazzez Celebi</given-names>
</name>
<xref ref-type="aff" rid="I3">
<sup>3</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<contrib-id contrib-id-type="orcid">https://orcid.org/0000-0003-3822-9073</contrib-id>
<name>
<surname>Abdelhalim</surname>
<given-names>Khalid A.</given-names>
</name>
<xref ref-type="aff" rid="I1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-6223-5329</contrib-id>
<name>
<surname>Konu</surname>
<given-names>Ozlen</given-names>
</name>
<xref ref-type="aff" rid="I3">
<sup>3</sup>
</xref>
<xref ref-type="corresp" rid="cor2">
<sup>*</sup>
</xref>
</contrib>
<contrib contrib-type="editor">
<name>
<surname>Martinez-Chantar</surname>
<given-names>Maria L.</given-names>
</name>
<role>Academic Editor</role>
<aff>University of Deusto, Spain</aff>
</contrib>
</contrib-group>
<aff id="I1">
<sup>1</sup>Izmir Biomedicine and Genome Center, 35340 Izmir, Turkey</aff>
<aff id="I2">
<sup>2</sup>Department of Medical Biology, Faculty of Medicine, Dokuz Eylul University, 35340 Izmir, Turkey</aff>
<aff id="I3">
<sup>3</sup>Department of Molecular Biology and Genetics, Ihsan Dogramaci Bilkent University, 06800 Ankara, Turkey</aff>
<author-notes>
<corresp id="cor1"><bold>*Correspondence:</bold> Gulcin Cakan-Akdogan,<email>gulcin.cakan@ibg.edu.tr</email>. Izmir Biomedicine and Genome Center, 58/5 Balcova, 35340 Izmir, Turkey</corresp>
<corresp id="cor2">Ozlen Konu,<email>konu@fen.bilkent.edu.tr</email>. Department of Molecular Biology and Genetics, Ihsan Dogramaci Bilkent University, SB Building, 06800 Ankara, Turkey</corresp>
</author-notes>
<pub-date pub-type="ppub">
<year>2023</year>
</pub-date>
<pub-date pub-type="epub">
<day>26</day>
<month>04</month>
<year>2023</year>
</pub-date>
<volume>2</volume>
<issue>2</issue>
<fpage>44</fpage>
<lpage>55</lpage>
<history>
<date date-type="received">
<day>29</day>
<month>12</month>
<year>2022</year>
</date>
<date date-type="accepted">
<day>13</day>
<month>02</month>
<year>2023</year>
</date>
</history>
<permissions>
<copyright-statement>© The Author(s) 2023.</copyright-statement>
<license xlink:href="https://creativecommons.org/licenses/by/4.0/">
<license-p>This is an Open Access article licensed under a Creative Commons Attribution 4.0 International License (<ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">https://creativecommons.org/licenses/by/4.0/</ext-link>), which permits unrestricted use, sharing, adaptation, distribution and reproduction in any medium or format, for any purpose, even commercially, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.</license-p>
</license>
</permissions>
<abstract>
<p>Zebrafish as a preclinical drug induced liver injury (DILI) model provides multiple advantages ranging from ease of breeding and maintenance, availability of different strains and transgenic fish amenable to study liver function, and highly conserved liver structure and function with the human liver. In this review, the authors have aimed to provide an account of the metabolic enzymes that take roles in drug detoxification in both human and zebrafish in a comparative manner and exemplify several recent models in studying liver functionality. Moreover, the authors emphasize the difficulties associated with studying idiosyncratic DILI in preclinical models and propose that zebrafish could be an important complement to mice in testing functions of genes that are associated with DILI with respect to different drugs in human genome-wide association studies (GWAS) Catalog. Finally, this review highlights the state-of-the-art in the development of novel transgenic reporter strains that can be used to study degree and molecular mechanisms of hepatotoxicity caused by drugs in zebrafish. All of these will help researchers to use effectively the available resources in the zebrafish DILI models, while advocating potential leads that can be taken to provide advancements in a better understanding and treatment of DILI.</p>
</abstract>
<kwd-group>
<kwd>Drug induced liver injury</kwd>
<kwd>zebrafish</kwd>
<kwd>reporter lines</kwd>
<kwd>genome-wide association studies</kwd>
</kwd-group>
</article-meta>
</front>
<body>
<sec id="s1">
<title>Introduction</title>
<p>Zebrafish is a genetically tractable, vertebrate model that has been proven efficient in disease modeling, drug efficacy, and toxicity evaluation [<xref ref-type="bibr" rid="B1">1</xref>, <xref ref-type="bibr" rid="B2">2</xref>]. Fast embryonic development and accessibility of embryos and larvae for imaging and drug treatment are leading advantages. Zebrafish reproduce via external fertilization, and the embryo is accessible from time 0 for imaging and drug treatments delivered in rearing water. The protective chorion is a selective membrane that prevents penetration of drugs, however, once the larvae hatch from the chorion at the end of day 2, it is fully accessible to drugs (<xref ref-type="fig" rid="fig1">Figure 1</xref>). Zebrafish embryo and early larvae [3–5 days post fertilization (dpf)] get their nutrition from the yolk, which decreases in volume gradually while the internal organs such as gut and liver develop (<xref ref-type="fig" rid="fig1">Figure 1</xref>). Zebrafish liver is detectable as of 3 dpf (<xref ref-type="fig" rid="fig1">Figure 1</xref>), but it becomes fully functional when the larvae reach the 5 dpf stage [<xref ref-type="bibr" rid="B3">3</xref>]. Differentiated hepatocytes are first detected at 44–48 hours post fertilization (hpf) followed by differentiation of biliary cells between 50–70 hpf and vascularization onset at 55–60 hpf. Finally hepatic stellate cells are detected by 96 hpf and liver outgrowth is completed between 96–120 hpf [<xref ref-type="bibr" rid="B4">4</xref>–<xref ref-type="bibr" rid="B6">6</xref>].</p>
<fig id="fig1" position="float">
<label>Figure 1</label>
<caption>
<p>Developmental stages of zebrafish and liver. A. Two-cell stage zebrafish embryo is visible at 1 hpf. The chorion provides protection to the embryo while the yolk supplies all the required nutrients; B. the embryo develops in the chorion until end of day 2. Thirty-six hpf embryo is still in the chorion; C. larval stages begin after hatching from the chorion. Liver can be seen as a small tissue at 3 dpf while gut is visible as of 4 dpf; D. transgenic reporter line <italic>fabp10a</italic>:mCherry is used to label hepatocytes. Liver tissue is visible as of 3 dpf with this line. Scale bar: 500 µm. Images A–C are recorded with Olympus SZX10 Stereomicroscope and SC50 camera, and image D is recorded with Olympus SZX16 Fluorescent Stereomicroscope and XC50 camera. <italic>fabp10a</italic>: fatty acid binding protein 10a (promoter); mCherry: monomeric Cherry</p>
</caption>
<graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="100517-g001.tif" />
</fig>
<p>Hepatocytes, stellate cells, biliary epithelial cells, and bile ducts are present in the zebrafish liver although their structural organization is different than that of human [<xref ref-type="bibr" rid="B3">3</xref>, <xref ref-type="bibr" rid="B4">4</xref>]. Liver macrophages are also present in both the larval and adult liver tissues, which are discussed comprehensively in a recent review [<xref ref-type="bibr" rid="B7">7</xref>]. The differences between the structural architectures of the zebrafish and human liver are discussed and illustrated in two previous reviews that describe a more scattered appearance of portal vein, hepatic artery, central vein, and bile ducts in the zebrafish liver [<xref ref-type="bibr" rid="B8">8</xref>, <xref ref-type="bibr" rid="B9">9</xref>]. Moreover, in the zebrafish liver, the hepatocytes are arranged in tubules rather than in plates. In adult zebrafish, the male and female liver structures and metabolism differ significantly, which is a factor to be considered in drug induced liver injury (DILI) studies [<xref ref-type="bibr" rid="B9">9</xref>]. On the other hand, larval stages of 2–5 dpf as well as 5–10 dpf provide attractive alternatives for DILI studies.</p>
<p>In this review, we opted to i) cover the current knowledge on major drug metabolizing enzymes in the zebrafish liver; ii) provide examples to the discovery and validation of genome-wide association studies (GWAS) genes/variants in zebrafish models with a focus on liver disease and idiosyncratic DILI; iii) and highlight the state-of-the art zebrafish technology that can facilitate DILI studies.</p>
</sec>
<sec id="s2">
<title>Major drug detoxification enzymes in zebrafish</title>
<p>The liver detoxification system has important distinct phases that include membrane transportation (initial phase), oxidation reduction reactions (phase I), enzymatic based conjugation (phase II), and efflux of metabolites (phase III) [<xref ref-type="bibr" rid="B10">10</xref>]. Zebrafish liver is a valuable model for drug metabolism studies since the major enzymes of drug metabolism are expressed and functional in zebrafish larval and adult liver. Phase I of drug metabolism is driven by cytochrome p450 (CYP) enzymes that induce oxidation, reduction, and hydrolysis of xenobiotics and toxins. Among the 57 <italic>CYPs</italic> in human genome, 15 isoforms in <italic>CYP1–3</italic> families are responsible for oxidation of most xenobiotics [<xref ref-type="bibr" rid="B11">11</xref>]. A systematic analysis of idiosyncratic DILI cases with Roussel Uclaf Causality Assessment Method (RUCAM) showed that most drugs are metabolized by CYP isoforms of which CYP3A4/5 is used close to 50% of the time, followed by CYP2C9, CYP2E1, CYP2C19, CYP1A2, and CYP2D6 [<xref ref-type="bibr" rid="B12">12</xref>]. There are 94 <italic>-cyps</italic> in the zebrafish genome representing all 18 families that are present in the human genome [<xref ref-type="bibr" rid="B13">13</xref>]. The enzymes that regulate xenobiotic metabolism falling into Cyp1–3 families are more complex and diverse in zebrafish having multiple subfamilies, which are discussed elsewhere in detail [<xref ref-type="bibr" rid="B13">13</xref>–<xref ref-type="bibr" rid="B15">15</xref>]. Zebrafish orthologs of <italic>-cyp1–3</italic> family genes and their functions in human liver are summarized in <xref ref-type="table" rid="t1">Table 1</xref>. Of note, the zebrafish <italic>cyp1A</italic> shows similarity to human <italic>CYP1A1</italic> and <italic>A2</italic> genes, and the zebrafish <italic>cyp1B1</italic> and human <italic>CYP1B1</italic> share a very similar gene structure. CYP1A and CYP1B subfamilies are known to be important in metabolism of steroids and various drugs in vertebrates. Complexity increases in the <italic>cyp2</italic> gene family which contains 47 members in the zebrafish genome. Goldstone et al. [<xref ref-type="bibr" rid="B13">13</xref>] proposed that tandem localization of <italic>cyp2y</italic>, <italic>cyp2y3</italic>, and <italic>cyp2y4</italic> resembles the cluster of drug metabolizing <italic>CYP2A6</italic>, <italic>CYP2A13</italic>, <italic>CYP2B6, CYP2F1</italic>, and <italic>CYP2S1</italic> in the human genome. Zebrafish <italic>cyp3</italic> family, on the other hand, consists of <italic>cyp3a65</italic> and <italic>cyp3c1–3c4</italic>, among which <italic>cyp3a65</italic> shows 54% sequence identity to human <italic>CYP3A4</italic>. <italic>cyp3a65</italic> expression is detected in the liver and intestines of adults and larvae, which was shown to be further increased upon xenobiotic treatment [<xref ref-type="bibr" rid="B14">14</xref>, <xref ref-type="bibr" rid="B16">16</xref>].</p>
<table-wrap id="t1">
<label>Table 1</label>
<caption>
<p>Zebrafish genes of xenobiotic metabolizing <italic>CYPs</italic> in <italic>cyp1–3</italic> families. Drug detoxifying CYPs mentioned in the text are listed in the table. Zebrafish gene and corresponding human gene are listed in the same row. Functional conservation needs to be tested</p>
</caption>
<table frame="hsides" rules="groups">
<tbody>
<tr>
<td>
<bold>Gene family</bold>
</td>
<td>
<bold>Zebrafish gene</bold>
</td>
<td>
<bold>Human gene</bold>
</td>
<td>
<bold>Function</bold>
</td>
</tr>
<tr>
<td>
<italic>CYP1</italic>
</td>
<td>
<italic>cyp1a</italic>, <italic>cyp1b1</italic>, <italic>cyp1c1,2</italic>, <italic>cyp1d1</italic></td>
<td>
<italic>CYP1A1,2</italic>, <italic>CYP1B1</italic>, <italic>CYP1D1P</italic></td>
<td>Catalyzing oxidative biotransformation of xenobiotics, dioxin-induced cardiovascular toxicity [<xref ref-type="bibr" rid="B14">14</xref>]</td>
</tr>
<tr>
<td>
<italic>CYP2</italic>
</td>
<td>
<italic>cyp2r1</italic>
</td>
<td>
<italic>CYP2R1</italic>
</td>
<td>Microsomal vitamin D 25-hydroxylase [<xref ref-type="bibr" rid="B13">13</xref>]</td>
</tr>
<tr>
<td>-</td>
<td>
<italic>cyp2u1</italic>
</td>
<td>
<italic>CYP2U1</italic>
</td>
<td>Catalyzing ω and ω-1 hydroxylation of fatty acids [<xref ref-type="bibr" rid="B13">13</xref>]</td>
</tr>
<tr>
<td>-</td>
<td>
<italic>cyp2n13</italic>, <italic>cyp2ps</italic>, <italic>cyp2v1</italic>, <italic>cyp2ad2,3,6</italic></td>
<td>
<italic>CYP2J2</italic>
</td>
<td>Arachidonic acid epoxygenase [<xref ref-type="bibr" rid="B13">13</xref>]</td>
</tr>
<tr>
<td>-</td>
<td>
<italic>cyp2ks</italic>
</td>
<td>
<italic>CYP2W1</italic>
</td>
<td>It is a tumor-specific CYP that oxidizes indole and chlorzoxazone, but not fatty acids [<xref ref-type="bibr" rid="B13">13</xref>]</td>
</tr>
<tr>
<td>-</td>
<td>
<italic>cyp2y3,4</italic>
</td>
<td>
<italic>CYP2A/B/F/S</italic>
</td>
<td>Drug-metabolizing enzymes</td>
</tr>
<tr>
<td>
<italic>CYP3</italic>
</td>
<td>
<italic>cyp3a65</italic>
</td>
<td>
<italic>CYP3A4</italic>
</td>
<td>Metabolism of various drugs</td>
</tr>
<tr>
<td>-</td>
<td>
<italic>cyp3c1–4</italic>
</td>
<td>
<italic>CYP3A3,4,7</italic>
</td>
<td>Mediates the formation of 5-hydroxydiclofenac (5-OHDF) and 6β-hydroxytestosterone [<xref ref-type="bibr" rid="B15">15</xref>]</td>
</tr>
<tr>
<td>
<italic>CYP4</italic>
</td>
<td>
<italic>cyp4f43</italic>
</td>
<td>
<italic>CYP4F</italic>
</td>
<td>Omega-hydroxylases of C16–C26 fatty acids [<xref ref-type="bibr" rid="B13">13</xref>]</td>
</tr>
<tr>
<td>-</td>
<td>
<italic>cyp4v7,8</italic>
</td>
<td>
<italic>CYP4V2</italic>
</td>
<td>-</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>-: none</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>Further studies are required in order to better understand functions, substrate specificity, and regulations of the zebrafish CYPs. With advancement of the field, zebrafish models can help understanding of mechanisms of CYP involvement in DILI. The ease of transgenic zebrafish generation provides easy means of humanizing the zebrafish liver. For example, the expression of human CYP3A4 (hCYP3A4) and mCherry fusion in zebrafish hepatocytes via liver specific <italic>fabp10a</italic> promoter in the Tg(<italic>fabp10a</italic>:hCYP3A4-mCherry) transgenic line enhanced the metabolism of CYP3A4 substrates and this could be inhibited with an CYP3A4 inhibitor, ketoconazole [<xref ref-type="bibr" rid="B17">17</xref>].</p>
<p>Phase II drug metabolism and detoxification enzymes have zebrafish orthologs, and conserved functions of several enzymes have been shown. Here, the recent knowledge on zebrafish UDP-glucuronosyltransferases (UGTs) and glutathione-<italic>S</italic>-transferases (GSTs) is discussed. Cytosolic sulfotransferases (SULTs) form another major detoxifying enzyme family that has been studied extensively in zebrafish, and these are reviewed elsewhere [<xref ref-type="bibr" rid="B18">18</xref>–<xref ref-type="bibr" rid="B21">21</xref>].</p>
<p>Zebrafish <italic>-ugt</italic> gene family consists of 40 genes and 5 pseudogenes, which are diversified by presence of <italic>ugt1</italic>, <italic>2</italic> and <italic>5</italic> genes and several alternatively spliced forms [<xref ref-type="bibr" rid="B22">22</xref>]. Wang et al. [<xref ref-type="bibr" rid="B23">23</xref>] studied tissue specific expressions of the 40 zebrafish <italic>ugts</italic> and reported catalytic activities and substrate specificities of these zebrafish Ugts. <italic>gsts</italic> are expressed in the developing zebrafish embryo, larvae, and adult [<xref ref-type="bibr" rid="B24">24</xref>, <xref ref-type="bibr" rid="B25">25</xref>]. Several zebrafish <italic>gsts</italic> were cloned and showed glutathione (GSH) conjugation activity <italic>in vitro</italic> when recombinantly produced [<xref ref-type="bibr" rid="B25">25</xref>]. A protein expression study showed that some Gst proteins were expressed as of 4 hpf, while others that belong to zeta, theta, and omega classes were shown to be expressed as of 72 hpf [<xref ref-type="bibr" rid="B24">24</xref>]. Expression of these proteins [Gsta1-2-3, glutathione-<italic>S</italic>-transferase theta 1a (Gstt1a), Gstz1-2-3, Gstm3, and Gsto1] increased steadily from 72 hpf to 168 hpf, while in adults only Gsta1-2-3, Gstt1a, and Gst1, 2, 3 proteins were found to be liver enriched suggesting these might be the main Gsts of phase II detoxification in zebrafish liver maturation [<xref ref-type="bibr" rid="B24">24</xref>].</p>
<p>Genome duplication in zebrafish is a complicating factor for some enzyme groups such as UGTs. Therefore, enzyme activity analyses are key to determining functional conservation. Moreover, the humanization approach that was used for CYP3A4 could be extended for other key enzymes to generate specific reporter lines.</p>
</sec>
<sec id="s3">
<title>
GWAS genes/variants of idiosyncratic DILI for modeling in zebrafish</title>
<p>Use of preclinical animal models is essential for validation of the emerging DILI biomarkers and/or variants from genome-wide screens [<xref ref-type="bibr" rid="B26">26</xref>–<xref ref-type="bibr" rid="B28">28</xref>]. Zebrafish model is well suited for such validation studies; and offers a plethora of assays and tools enabling preclinical DILI studies of different scales, ranging from small-to-large, in the intact organism.</p>
<p>Direct and indirect DILI, which are dose-dependently caused by agents inherently or indirectly toxic to the liver, respectively, are relatively easier to reproduce in model organisms than idiosyncratic hepatotoxicity, which is largely due to the individual’s metabolic or immune response [<xref ref-type="bibr" rid="B29">29</xref>, <xref ref-type="bibr" rid="B30">30</xref>]. A recent review has further highlighted potential difficulties in aligning successfully the human and other animal models of idiosyncratic DILI, including that of zebrafish [<xref ref-type="bibr" rid="B31">31</xref>]. The ability to apply <italic>in vivo</italic> genetic and/or environmental modulations, such as challenging animals with inflammatory agents in rodent models, could lead to induction of DILI at therapeutic doses, as reviewed by Segovia-Zafra et al. [<xref ref-type="bibr" rid="B32">32</xref>].</p>
<p>In humans, GWAS is the main-stream analysis platform for polygenic traits like idiosyncratic DILI, for which the effect size of a polymorphism, e.g., single nucleotide polymorphism (SNP), is often small while a large number of loci could be associated with the trait [<xref ref-type="bibr" rid="B33">33</xref>]. Zebrafish has been used as a model to demonstrate causality of the prioritized variants from GWAS screens in the observed phenotype. However, many novel variants are intronic and/or not conserved; accordingly, not the variant itself but the overexpression or knockout/knockdown models of the gene are used in validation studies. For instance, rs8004664, an intronic SNP found in forkhead box N3 (<italic>FOXN3</italic>), has been associated with an increase in fasting glucose levels in humans, and the researchers generated transgenic zebrafish overexpressing the human or zebrafish gene and showed that overexpression resulted in excess glucose production in both models [<xref ref-type="bibr" rid="B34">34</xref>]. Similarly, different non-coding variants of ADP-ribosylation factor 6 (<italic>arf6</italic>) have been associated with biliary atresia and the <italic>arf6</italic> knockdown experiments performed in zebrafish resulted in intrahepatic biliary network sparsity and decreases in bile secretion supporting <italic>arf6</italic> as a potential susceptibility locus in biliary disease [<xref ref-type="bibr" rid="B35">35</xref>]. With respect to DILI, a workflow has been proposed to narrow down candidates obtained from the human GWAS based on the presence of a significant zebrafish-human orthology, expression in the liver, and disease association [<xref ref-type="bibr" rid="B36">36</xref>]. Accordingly, the authors validated changes in expression via morpholino knockdown of selected zebrafish genes that affected hepatocyte function and/or liver development. Recent studies employ clustered regularly interspaced short palindromic repeats (CRISPR)/CRISPR associated protein 9 (Cas9) mediated genome editing technology to validate orthologous gene function via generating various allele modifications that range from nonsynonymous to synonymous in zebrafish and screen the relevant phenotype in embryos or larvae. One example comes from understanding genetic factors affecting cardiac rhythm [<xref ref-type="bibr" rid="B37">37</xref>]. A recent review on variant discovery and validation of osteoporosis also suggests that G<sub>0</sub> screening or F<sub>0</sub> crispants can aid in rapid identification of candidate variants in zebrafish and hence speed up the discovery process [<xref ref-type="bibr" rid="B38">38</xref>]. Although not yet in DILI, a putative causal variant leading to a null phenotype could be demonstrated to replicate the disease phenotype in zebrafish, for example in cleft palate [<xref ref-type="bibr" rid="B39">39</xref>].</p>
<p>There are many GWAS carried out to link DILI to human genetic traits in the last decades, and online tools such as GWAS Catalog provide searchable databases of keywords of genes and diseases [<xref ref-type="bibr" rid="B33">33</xref>, <xref ref-type="bibr" rid="B40">40</xref>]. Indeed, in GWAS Catalog, there is a specific category for DILI related studies and associations (i.e., EFO_id: EFO_0004228) while other liver associated phenotypes including hepatotoxicity due to other causes also exist. EFO_0004228 contains multiple GWAS datasets; a few of which have large sample sizes containing more than 10,000 cases and controls in total, while most datasets are of medium to small size. In GWAS Catalog, DILI studies also comprise a range of drugs that include general antibiotics (e.g., flucloxacillin), anti-tuberculosis drugs (e.g., rifampicin), and more specific drugs targeting genes and pathways, such as lapatinib and interferon-beta (IFN-β), and hence presenting an excellent tool for datamining. Accordingly, close to 60 human genes can be found in EFO_0004228 category of GWAS Catalog by December, 2022. However, it is still a challenge to decide on which human gene and/or genomic variant to pursue specifically in zebrafish although several databases and tools are available that can assist in the decision process.</p>
<p>The teleost lineage, to which zebrafish belongs, has gone through an extra round of whole genome duplication thus, the zebrafish genome may have duplicated copies of human disease genes [<xref ref-type="bibr" rid="B41">41</xref>, <xref ref-type="bibr" rid="B42">42</xref>]. The zebrafish orthologs of selected human loci can be gathered from BioMart database in Ensembl via the setting the “orthology type” filter, to “one-to-one” and “one-to-many” and hence, filtering out potentially ambiguous hits that may originate from using “many-to-many” type genes [<xref ref-type="bibr" rid="B42">42</xref>, <xref ref-type="bibr" rid="B43">43</xref>]. BioMart also allows the researchers to specify sequence features, e.g., the zebrafish and human Ensembl IDs, and chromosomal locations. Similarly, use of ribosome-upstream open reading frames (Ribo-uORFs), which incorporates zebrafish genomic data, can be further useful for identification of open reading frames in 5’ untranslated region (5’UTR) and their associated expression quantitative trait loci (eQTL) analysis [<xref ref-type="bibr" rid="B44">44</xref>]. Other additional information on the liver-specific or liver-enriched expression of the prioritized genes or the gene’s presence in specific hepatocyte cell clusters can be of further use as demonstrated before [<xref ref-type="bibr" rid="B36">36</xref>]. Specialized expression databases are also available, such as a webserver called Cell Landscape, in which cell/tissue specific single cell RNA-seq (scRNA-seq) profiles are provided for human, mouse, and zebrafish for a given transcript [<xref ref-type="bibr" rid="B45">45</xref>].</p>
<p>In the context of GWAS, zebrafish is a promising vertebrate model for validation of candidate variants or genes, found via GWAS, by examining their effect on the model’s liver phenotype [<xref ref-type="bibr" rid="B36">36</xref>]. Herein, we provide a table for potential advantages and disadvantages of zebrafish in validating GWAS loci from idiosyncratic DILI studies (<xref ref-type="table" rid="t2">Table 2</xref>).</p>
<table-wrap id="t2">
<label>Table 2</label>
<caption>
<p>The advantages and disadvantages of using zebrafish for validation of GWAS loci from DILI studies</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th>
<bold>Advantages</bold>
</th>
<th>
<bold>Disadvantages</bold>
</th>
</tr>
</thead>
<tbody>
<tr>
<td>
<list list-type="bullet">
<list-item><p>Ease of application of drugs dissolved in the embryonic media in embryos and early larvae</p></list-item>
<list-item><p>Ease of liver imaging in intact organism</p></list-item></list>
</td>
<td>
<list list-type="bullet">
<list-item><p>Differences in the liver architecture between zebrafish and humans may alter pathogenesis of DILI species-specifically</p></list-item></list>
</td>
</tr>
<tr>
<td>
<list list-type="bullet">
<list-item><p>Ability to screen a high number of biological replicates using a wide range of doses</p></list-item></list>
</td>
<td>
<list list-type="bullet">
<list-item><p>Most GWAS loci are non-coding and may not be well conserved between species</p></list-item></list>
</td>
</tr>
<tr>
<td>
<list list-type="bullet">
<list-item><p>Availability of various mutant strains of GWAS loci as ready-to-use models</p></list-item>
<list-item><p>Speedy generation of knockout and transgenic strains</p></list-item></list>
</td>
<td>
<list list-type="bullet">
<list-item><p>Difficulty in functional assessment of knock-out and knock-in strains because of the presence of paralogous copies of genes in zebrafish (one-to-many genes)</p></list-item></list>
</td>
</tr>
<tr>
<td>
<list list-type="bullet">
<list-item><p>Presence of many GWAS human loci with orthologs in the zebrafish genome</p></list-item></list>
</td>
<td>
<list list-type="bullet">
<list-item><p>Not all human GWAS loci have orthologs in zebrafish</p></list-item></list>
</td>
</tr>
<tr>
<td>
<list list-type="bullet">
<list-item><p>Observed similarity between humans and zebrafish in their pathogenic response to drugs</p></list-item></list>
</td>
<td>
<list list-type="bullet">
<list-item><p>Varying levels of sequence similarity between protein coding genes of zebrafish and humans</p></list-item></list>
</td>
</tr>
<tr>
<td>
<list list-type="bullet">
<list-item><p>Potential for generating specialized zebrafish cohorts for eQTL studies</p></list-item></list>
</td>
<td>
<list list-type="bullet">
<list-item><p>Requirement of a large collection of strains/individuals for idiosyncratic DILI studies in zebrafish</p></list-item></list>
</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>Moreover, the polygenic analysis of genome-wide variant landscape, and not the analysis of only a single or few variants, is more likely to advance our understanding of DILI. One such example comes from the case-control cohort study of DILI, driven by TAK-875 (fasiglifam), a drug withdrawn while going through phase III clinical trials against diabetes 2 due to rare events of severe acute hepatocyte injury [<xref ref-type="bibr" rid="B46">46</xref>, <xref ref-type="bibr" rid="B47">47</xref>]. Later, Mosedale et al. [<xref ref-type="bibr" rid="B48">48</xref>] showed the importance of using preclinical models for the polygenic analysis in TAK-875 driven liver injury via high throughput expression profiling and eQTL analyses, using the 45 collaborative cross (CC) mouse lines, a genetically diverse collection of inbred strains. The authors have identified mitochondrial dysfunction and oxidative stress related pathways as being the most strain dependent, and hence characterized presence of genetically driven transcriptomic changes while identifying candidate eQTLs for further study [<xref ref-type="bibr" rid="B48">48</xref>]. A similar approach can be taken for the zebrafish DILI models since there are thousands of zebrafish mutant and genetically modified strains that can be controllably bred to generate a collaborative collection of strains for identifying polygenic structure of DILI and other complex diseases. With the discovery of novel and population specific hepatocyte eQTLs in humans, preclinical zebrafish GWAS screens in well-designed drug exposure studies could have a significant impact on discovery and validation of novel genotype-phenotype associations in idiosyncratic DILI [<xref ref-type="bibr" rid="B49">49</xref>].</p>
<p>On a final note, Teschke and Danan [<xref ref-type="bibr" rid="B30">30</xref>], upon reviewing thousands of idiosyncratic DILI registries, provide a list of the drugs most frequently resulted in idiosyncratic DILI, e.g., amoxicillin-clavulanate, flucloxacillin, and atorvastatin. Such drugs if tested at therapeutic doses in select zebrafish mutants with or without exposure to additional environmental DILI risk factors may prove fruitful for improving our understanding of idiosyncratic DILI. The causality between the drug and its associated hepatoxicity also needs to be robustly assessed, using methods such as RUCAM, to accurately distinguish between the intrinsic and idiosyncratic DILI cases [<xref ref-type="bibr" rid="B30">30</xref>]. Moreover, similar methodologies need to be adapted to the zebrafish idiosyncratic DILI models; however, the strong dependency of RUCAM on the levels as well as ratio of the liver enzymes might make this difficult in embryos and larvae. Due to the small size of the larval and even adult zebrafish monitoring, these enzymes from sera could not be feasible. New methodologies amenable for accurate and continuous live detection of existing and new biomarkers are needed for developing effective zebrafish idiosyncratic DILI models.</p>
</sec>
<sec id="s4">
<title>Reporter transgenic zebrafish lines for the accurate assessment of DILI</title>
<p>Embryonic and early larval stages of zebrafish provide advantages of easy imaging and amenability to medium-high throughput screening. Identification of the liver specific <italic>fabp10a</italic>, and its promoter sequence allowed successful development of liver reporter lines that drive the reporter gene expression in hepatocytes [<xref ref-type="bibr" rid="B50">50</xref>, <xref ref-type="bibr" rid="B51">51</xref>]. Assessment of the changes in liver size upon drug exposure is inarguably the most widely used tool for screening drug related injury in zebrafish models [<xref ref-type="bibr" rid="B52">52</xref>–<xref ref-type="bibr" rid="B56">56</xref>]. Moreover, lineage specific reporter lines marking biliary cells, e.g., Tg(<italic>Tp1glob</italic>:EGFP) and Tg(<italic>krt18</italic>:EGFP), and stellate cells, e.g., Tg(<italic>hand2</italic>:EGFP), are available to assess the effects of DILI on liver cells [<xref ref-type="bibr" rid="B4">4</xref>, <xref ref-type="bibr" rid="B57">57</xref>, <xref ref-type="bibr" rid="B58">58</xref>]. Another interesting approach is to use translating ribosome affinity purification (TRAP), an effective methodology that was applied to profile hepatocyte or biliary cell specific transcripts; in transgenic lines Tg(<italic>krt18</italic>:TRAP) and Tg(<italic>lfabp</italic>:TRAP) that drives TRAP expression under <italic>keratin-18</italic> promoter and <italic>fabp10a</italic> promoters, respectively [<xref ref-type="bibr" rid="B58">58</xref>]. These TRAP lines can further be used to profile DILI response upon exposure to xenobiotics.</p>
<p>Another approach is to search for candidate biomarkers for DILI using high-throughput omics studies and meta-analysis [<xref ref-type="bibr" rid="B59">59</xref>–<xref ref-type="bibr" rid="B61">61</xref>]. For instance, Poon et al. [<xref ref-type="bibr" rid="B61">61</xref>] conducted microarray analysis on livers of zebrafish in which DILI was induced by three different hepatotoxin drugs, namely amiodarone, diclofenac, or flutamide, and discovered candidate biomarker genes that were upregulated in all. Furthermore, the analysis of spatiotemporal expression and induction of these common genes have led to identification of <italic>cyp2n13</italic>, <italic>cyp2k18</italic>, <italic>gstt1b</italic>, and glutathione reductase (<italic>gsr</italic>) as potent biomarker genes in zebrafish DILI in both the larval and adult stages. Enhanced green fluorescent protein (EGFP) reporter lines that were generated by promoter cloning or green fluorescent protein (GFP) tagging of the endogenous gene via FOSMID recombination eventually led to the development of <italic>cyp2n13</italic>, <italic>cyp2k18</italic>, <italic>gstt1b</italic>, and <italic>gsr</italic> reporter lines as potential tools for high throughput screens for any given drug’s potency to induce DILI [<xref ref-type="bibr" rid="B61">61</xref>]. <italic>cyp2n13</italic> and <italic>gsr</italic> are highly conserved between zebrafish and human, while <italic>cyp2k18</italic> and <italic>gstt1b</italic> are orthologous to human <italic>CYP2W1</italic> and <italic>GSTT1</italic>, respectively [<xref ref-type="bibr" rid="B13">13</xref>].</p>
<p>More recently, a hepatic apoptosis reporter line Tg(<italic>pck1</italic>:Casper3GR) was generated by Higuchi et al. [<xref ref-type="bibr" rid="B62">62</xref>], which may be used as another screening tool. Promoter sequence of phosphoenolpyruvate carboxy kinase 1 (<italic>pck1</italic>) gene, was used to drive expression of a Casper3GR, which is a dual fluorescent probe that is cleaved by caspase-3, hence provides a fluorescence resonance energy transfer (FRET)-based apoptosis sensor in the liver [<xref ref-type="bibr" rid="B62">62</xref>].</p>
<p>Expression of bacterial nitroreductase gene in hepatocytes is used for targeted ablation of liver cells via exposure to prodrug metronidazole [<xref ref-type="bibr" rid="B55">55</xref>]. Recently this tool has been used to identify hepatoprotective small molecules in a screen and BML-257, an AKT inhibitor, was found to provide protection against liver damage caused by acetaminophen (APAP) and isoniazid [<xref ref-type="bibr" rid="B63">63</xref>]. Moreover, according to a recent review, the role of ferroptosis in DILI, when compared to other liver diseases, remains relatively unexplored with most of the research being based on APAP induced DILI [<xref ref-type="bibr" rid="B64">64</xref>]. New evidence is emerging in support of the therapeutic potential of scavenging reactive oxygen species, e.g., peroxynitrite, release of H<sub>2</sub>S and ferroptosis inhibitors in ameliorating the liver damage induced by APAP <italic>in vitro</italic> and in mice models [<xref ref-type="bibr" rid="B65">65</xref>]. Interestingly, a novel sensor of peroxynitrite has also been applied to the zebrafish model which demonstrated its translational significance [<xref ref-type="bibr" rid="B66">66</xref>].</p>
<p>One of the concerns using the highly promising zebrafish larval models for DILI assessment could be that embryos and early larvae may not be fully functional in drug metabolism. Several studies provide evidence that zebrafish larvae can indeed serve as functional DILI models even at an early stage where the transparency of the larvae provides excellent opportunities for high-throughput screening. Embryonic zebrafish hepatocytes are detectable as early as 36 hpf, however hepatic differentiation continues until 96 hpf while the liver development is completed by 120 hpf which corresponds to 5 dpf resulting in a fully functional xenobiotic metabolism in addition to other liver functions [<xref ref-type="bibr" rid="B3">3</xref>]. Interestingly, the majority of DILI studies are conducted in zebrafish between the developmental stages spanning 48 hpf to 5 dpf. A recent study by Nawaji et al. [<xref ref-type="bibr" rid="B15">15</xref>] investigated the reported spatiotemporal expression of <italic>-cyp</italic> genes as well as their induction and activity upon exposure to certain substrates during the liver development stages and adult fish. This study revealed that several drug metabolizing <italic>cyps</italic> were expressed well before liver development was completed, in primordial intestine, primordial bladder, or primordial liver. Moreover, use of CYP inducers and substrates allowed researchers to demonstrate the metabolic activity of some zebrafish Cyp enzymes (Cyp1a2, Cyp2c9, and Cyp3a4/5) in these extrahepatic tissues before liver maturation [<xref ref-type="bibr" rid="B15">15</xref>]. Therefore, use of zebrafish exposed to xenobiotics at early stages may already activate the phase I of drug metabolism. On the other hand, direct comparison of 5 dpf and older larvae <italic>vs.</italic> younger embryos has not been reported.</p>
</sec>
<sec id="s5">
<title>Conclusions</title>
<p>Zebrafish liver can be used as a DILI model at larval and adult stages. Fast maturation, amenability to live imaging, and drug treatment combined with genetic tools make zebrafish a unique vertebrate model. Conservation of drug metabolism enzymes including CYPs and UGTs is reported in recent studies. Future studies are needed to better describe substrate specificity and functional conservation of these enzyme families. Zebrafish can also be invaluable for modeling idiosyncratic DILI in addition to intrinsic DILI by means of developing transgenic and knockout-knockin models of candidate loci discovered from GWAS that are ever increasing in number. These models are likely to allow for testing novel therapeutic strategies while increasing our understanding of the genotype-phenotype associations in DILI. Moreover, the wide array of developed reporter zebrafish lines opens the possibility to generate readouts for lineage specific or enzyme specific phenotypes upon exposure to drug candidate. In order to enable fast and reliable screening of large number of drug candidates, the continued efforts of zebrafish researchers are needed to expand the repertoire of DILI sensor reporter lines, and describe each line’s potency in reflecting different drug metabolism processes.</p>
</sec>
</body>
<back>
<glossary>
<title>Abbreviations</title>
<def-list>
<def-item>
<term>APAP</term>
<def>
<p>acetaminophen</p>
</def>
</def-item>
<def-item>
<term>
<italic>arf6</italic>
</term>
<def>
<p>ADP-ribosylation factor 6</p>
</def>
</def-item>
<def-item>
<term>CYP</term>
<def>
<p>cytochrome p450</p>
</def>
</def-item>
<def-item>
<term>DILI</term>
<def>
<p>drug induced liver injury</p>
</def>
</def-item>
<def-item>
<term>dpf</term>
<def>
<p>days post fertilization</p>
</def>
</def-item>
<def-item>
<term>eQTL</term>
<def>
<p>expression quantitative trait loci</p>
</def>
</def-item>
<def-item>
<term>
<italic>fabp10a</italic>
</term>
<def>
<p>fatty acid binding protein 10a</p>
</def>
</def-item>
<def-item>
<term>
<italic>gsr</italic>
</term>
<def>
<p>glutathione reductase</p>
</def>
</def-item>
<def-item>
<term>GSTs</term>
<def>
<p>glutathione-<italic>S</italic>-transferases</p>
</def>
</def-item>
<def-item>
<term>Gstt1a</term>
<def>
<p>glutathione-<italic>S</italic>-transferase theta 1a</p>
</def>
</def-item>
<def-item>
<term>GWAS</term>
<def>
<p>genome-wide association studies</p>
</def>
</def-item>
<def-item>
<term>hpf</term>
<def>
<p>hours post fertilization</p>
</def>
</def-item>
<def-item>
<term>mCherry</term>
<def>
<p>monomeric Cherry</p>
</def>
</def-item>
<def-item>
<term>RUCAM</term>
<def>
<p>Roussel Uclaf Causality Assessment Method</p>
</def>
</def-item>
<def-item>
<term>TRAP</term>
<def>
<p>translating ribosome affinity purification</p>
</def>
</def-item>
<def-item>
<term>UGTs</term>
<def>
<p>UDP-glucuronosyltransferases</p>
</def>
</def-item>
</def-list>
</glossary>
<sec id="s6">
<title>Declarations</title>
<sec>
<title>Acknowledgments</title>
<p>Authors thank Emine Gelinci and Ebru Önal for recording zebrafish images.</p>
</sec>
<sec>
<title>Author contributions</title>
<p>GCA: Conceptualization, Visualization, Writing—review &amp; editing. AMA, MCC: Visualization, Writing—review &amp; editing. KAA: Writing—review &amp; editing. OK: Conceptualization, Writing—review &amp; editing. All authors read and approved the submitted version.</p>
</sec>
<sec>
<title>Conflicts of interest</title>
<p>Not applicable.</p>
</sec>
<sec>
<title>Ethical approval</title>
<p>Not applicable.</p>
</sec>
<sec>
<title>Consent to participate</title>
<p>Not applicable.</p>
</sec>
<sec>
<title>Consent to publication</title>
<p>Not applicable.</p>
</sec>
<sec>
<title>Availability of data and materials</title>
<p>Not applicable.</p>
</sec>
<sec>
<title>Funding</title>
<p>GCA and OK are supported by The Scientific and Technological Research Council of Türkiye (TUBITAK). GCA: [119S698], [118C484], OK: [116Z388]. GCA and OK are supported by the European Union COST action [CA17112] PRO-EURO-DILI-NET and Horizon Europe [101095679] project. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.</p>
</sec>
<sec>
<title>Copyright</title>
<p>© The Author(s) 2023.</p>
</sec>
</sec>
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