Article ; Online: An In Vitro Model for Identifying Cardiac Side Effects of Anesthetics.
2018 Volume 130, Issue 1, Page(s) e1–e4
Abstract: The understanding of anesthetic side effects on the heart has been hindered by the lack of sophisticated clinical models. Using micropatterned human-induced pluripotent stem cell-derived cardiomyocytes, we obtained cardiac muscle depressant profiles for ... ...
Abstract | The understanding of anesthetic side effects on the heart has been hindered by the lack of sophisticated clinical models. Using micropatterned human-induced pluripotent stem cell-derived cardiomyocytes, we obtained cardiac muscle depressant profiles for propofol, etomidate, and our newly identified anesthetic compound KSEB01-S2. Propofol was the strongest depressant among the 3 compounds tested, exhibiting the largest decrease in contraction velocity, depression rate, and beating frequency. Interestingly, KSEB01-S2 behaved similarly to etomidate, suggesting a better cardiac safety profile. Our results provide a proof-of-concept for using human-induced pluripotent stem cell-derived cardiomyocytes as an in vitro platform for future drug design. |
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MeSH term(s) | Adult ; Anesthetics, Intravenous/toxicity ; Cardiotoxicity ; Cell Line ; Etomidate/toxicity ; Female ; Heart Diseases/chemically induced ; Heart Diseases/pathology ; Heart Diseases/physiopathology ; Heart Rate/drug effects ; Humans ; Induced Pluripotent Stem Cells/drug effects ; Induced Pluripotent Stem Cells/pathology ; Male ; Middle Aged ; Myocardial Contraction/drug effects ; Myocytes, Cardiac/drug effects ; Myocytes, Cardiac/pathology ; Proof of Concept Study ; Propofol/toxicity ; Risk Assessment ; Time Factors ; Young Adult |
Chemical Substances | Anesthetics, Intravenous ; Propofol (YI7VU623SF) ; Etomidate (Z22628B598) |
Language | English |
Publishing date | 2018-08-31 |
Publishing country | United States |
Document type | Comparative Study ; Journal Article ; Research Support, N.I.H., Extramural ; Research Support, Non-U.S. Gov't ; Video-Audio Media |
ZDB-ID | 80032-6 |
ISSN | 1526-7598 ; 0003-2999 |
ISSN (online) | 1526-7598 |
ISSN | 0003-2999 |
DOI | 10.1213/ANE.0000000000003757 |
Database | MEDical Literature Analysis and Retrieval System OnLINE |
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