Zebrafish Models of Cancer Therapy-Induced Cardiovascular Toxicity.
Zebrafish Models of Cancer Therapy-Induced Cardiovascular Toxicity.
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DOI:
10.3390/jcdd8020008
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发表时间:
2021-01-22
影响因子:
2.4
通讯作者:
Asnani A
中科院分区:
文献类型:
--
作者:
Lane S;More LA;Asnani A
Purpose of review: Both traditional and novel cancer therapies can cause cardiovascular toxicity in patients. In vivo models integrating both cardiovascular and cancer phenotypes allow for the study of on- and off-target mechanisms of toxicity arising from these agents. The zebrafish is the optimal whole organism model to screen for cardiotoxicity in a high throughput manner, while simultaneously assessing the role of cardiotoxicity pathways on the cancer therapy’s antitumor effect. Here we highlight established zebrafish models of human cardiovascular disease and cancer, the unique advantages of zebrafish to study mechanisms of cancer therapy-associated cardiovascular toxicity, and finally, important limitations to consider when using the zebrafish to study toxicity. Recent findings: Cancer therapy-associated cardiovascular toxicities range from cardiomyopathy with traditional agents to arrhythmias and thrombotic complications associated with newer targeted therapies. The zebrafish can be used to identify novel therapeutic strategies that selectively protect the heart from cancer therapy without affecting antitumor activity. Advances in genome editing technology have enabled the creation of several transgenic zebrafish lines valuable to the study of cardiovascular and cancer pathophysiology. Summary: The high degree of genetic conservation between zebrafish and humans, as well as the ability to recapitulate cardiotoxic phenotypes observed in patients with cancer, make the zebrafish an effective model to study cancer therapy-associated cardiovascular toxicity. Though this model provides several key benefits over existing in vitro and in vivo models, limitations of the zebrafish model include the early developmental stage required for most high-throughput applications.
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影响因子:
20.1
作者:
Ding Y;Sun X;Huang W;Hoage T;Redfield M;Kushwaha S;Sivasubbu S;Lin X;Ekker S;Xu X
通讯作者:
Xu X
影响因子:
45.3
作者:
Armstrong, Gregory T.;Kawashima, Toana;Oeffinger, Kevin C.
通讯作者:
Oeffinger, Kevin C.
影响因子:
9.8
作者:
Chi NC;Shaw RM;Jungblut B;Huisken J;Ferrer T;Arnaout R;Scott I;Beis D;Xiao T;Baier H;Jan LY;Tristani-Firouzi M;Stainier DY
通讯作者:
Stainier DY
影响因子:
30.8
作者:
Gerull, B;Gramlich, M;Thierfelder, L
通讯作者:
Thierfelder, L
影响因子:
37.8
作者:
Cardinale, Daniela;Colombo, Alessandro;Cipolla, Carlo M.
通讯作者:
Cipolla, Carlo M.