<?xml version="1.0" encoding="UTF-8"?><?xml-stylesheet type="text/xsl" href="static/style.xsl"?><OAI-PMH xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd"><responseDate>2026-04-14T04:39:50Z</responseDate><request verb="GetRecord" identifier="oai:www.recercat.cat:10256/18193" metadataPrefix="oai_dc">https://recercat.cat/oai/request</request><GetRecord><record><header><identifier>oai:recercat.cat:10256/18193</identifier><datestamp>2024-06-18T11:12:49Z</datestamp><setSpec>com_2072_452955</setSpec><setSpec>com_2072_2054</setSpec><setSpec>col_2072_452964</setSpec></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:doc="http://www.lyncode.com/xoai" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
   <dc:title>Comparison of Zebrafish Larvae and hiPSC Cardiomyocytes for Predicting Drug-Induced Cardiotoxicity in Humans</dc:title>
   <dc:creator>Dyballa, Sylvia</dc:creator>
   <dc:creator>Minana, Rafael</dc:creator>
   <dc:creator>Rubio Brotons, Maria</dc:creator>
   <dc:creator>Cornet, Carles</dc:creator>
   <dc:creator>Pederzani, Tiziana</dc:creator>
   <dc:creator>Escaramís Babiano, Geòrgia</dc:creator>
   <dc:creator>Garcia Serna, Ricard</dc:creator>
   <dc:creator>Mestres i López, Jordi</dc:creator>
   <dc:creator>Terriente, Javier</dc:creator>
   <dc:subject>Toxicologia cardiovascular</dc:subject>
   <dc:subject>Cardiovascular toxicology</dc:subject>
   <dc:subject>Models lineals (Estadística)</dc:subject>
   <dc:subject>Linear models (Statistics)</dc:subject>
   <dc:subject>Toxicologia cardiovascular -- Models matemàtics</dc:subject>
   <dc:subject>Cardiovascular toxicology -- Mathematical models</dc:subject>
   <dc:description>Cardiovascular drug toxicity is responsible for 17% of drug withdrawals in clinical phases, half of post-marketed drug&#xd;
withdrawals and remains an important adverse effect of several marketed drugs. Early assessment of drug-induced&#xd;
cardiovascular toxicity is mandatory and typically done in cellular systems and mammals. Current in vitro screening&#xd;
methods allow high-throughput but are biologically reductionist. The use of mammal models, which allow a better&#xd;
translatability for predicting clinical outputs, is low-throughput, highly expensive, and ethically controversial. Given the&#xd;
analogies between the human and the zebrafish cardiovascular systems, we propose the use of zebrafish larvae during&#xd;
early drug discovery phases as a balanced model between biological translatability and screening throughput for addressing&#xd;
potential liabilities. To this end, we have developed a high-throughput screening platform that enables fully automatized&#xd;
in vivo image acquisition and analysis to extract a plethora of relevant cardiovascular parameters: heart rate, arrhythmia,&#xd;
AV blockage, ejection fraction, and blood flow, among others. We have used this platform to address the predictive power of&#xd;
zebrafish larvae for detecting potential cardiovascular liabilities in humans. We tested a chemical library of 92 compounds&#xd;
with known clinical cardiotoxicity profiles. The cross-comparison with clinical data and data acquired from human induced&#xd;
pluripotent stem cell cardiomyocytes calcium imaging showed that zebrafish larvae allow a more reliable prediction of&#xd;
cardiotoxicity than cellular systems. Interestingly, our analysis with zebrafish yields similar predictive performance as&#xd;
previous validation meta-studies performed with dogs, the standard regulatory preclinical model for predicting cardiotoxic&#xd;
liabilities prior to clinical phases</dc:description>
   <dc:date>2019-07-30</dc:date>
   <dc:type>info:eu-repo/semantics/article</dc:type>
   <dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
   <dc:type>peer-reviewed</dc:type>
   <dc:identifier>http://hdl.handle.net/10256/18193</dc:identifier>
   <dc:identifier>http://hdl.handle.net/10256/18193</dc:identifier>
   <dc:language>eng</dc:language>
   <dc:relation>info:eu-repo/semantics/altIdentifier/doi/10.1093/toxsci/kfz165</dc:relation>
   <dc:relation>info:eu-repo/semantics/altIdentifier/issn/1096-6080</dc:relation>
   <dc:relation>info:eu-repo/semantics/altIdentifier/eissn/1096-0929</dc:relation>
   <dc:rights>Attribution 4.0 International</dc:rights>
   <dc:rights>http://creativecommons.org/licenses/by/4.0/</dc:rights>
   <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
   <dc:format>application/pdf</dc:format>
   <dc:publisher>Oxford University Press (OUP)</dc:publisher>
   <dc:source>Toxicological Sciences, 2019, vol. 171, núm. 2, p. 283-295</dc:source>
   <dc:source>Articles publicats (D-EC)</dc:source>
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