Abstract
Cardiovascular disease (CVD) is the number one cause of death worldwide. This condition resulted in huge research on CVD increasing the need for animal models suitable for in vivo research. Daphnia and zebrafish are good animal models for cardiovascular research due to their relative body transparency and easy culture property. Several methods have been developed to conduct cardiac performance measurement in Daphnia and zebrafish. However, most of the methods are only able to obtain heartbeat rate. The other important cardiac endpoints like stroke volume, ejection fraction, fraction shortening, cardiac output, and heartbeat regularity must use other programs for measurement. To overcome this limitation, in this study, we successfully developed a one-stop ImageJ-based method using kymograph macros language that is able to obtain multiple cardiac performance endpoints simultaneously for the first time. To validate its utility, we incubated Daphnia magna at different ambient temperatures and exposed zebrafish with astemizole to detect the corresponding cardiac performance alterations. In summary, the kymograph method reported in this study provides a new, easy to use, and inexpensive one-stop method obtaining multiple cardiac performance endpoints with high accuracy and convenience.
Highlights
Cardiovascular diseases (CVD) are the number one cause of death worldwide, accounting for 17.9 million or 31% of total annual worldwide deaths
This study aimed to develop a kymograph-based method built in ImageJ platform [27], encompassing all cardiac performance endpoints obtainable and providing an easy-to-use and inexpensive one-stop method to obtain multiple cardiac performance endpoints with high accuracy for both D. magna neonates and zebrafish embryos
Two animal models of zebrafish and D. magna were adopted since they are popular aquatic vertebrate and invertebrate models often used for cardiac physiology and toxicology studies
Summary
Cardiovascular diseases (CVD) are the number one cause of death worldwide, accounting for 17.9 million or 31% of total annual worldwide deaths. This number is predicted to increase to 22.2 million annual deaths by 2030. CVD deaths are mainly caused by heart attacks and strokes, which are avoidable outcomes, mainly in developed countries. In low- and middle-income countries, more than three-quarters of deaths occurred due to these conditions [1]. As a result of these conditions, biomedical research on causes, prevention, and treatment of CVD remained active, producing hundreds of publications weekly. The sheer amount of research on CVDs increased the need for animal models
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