Cardiotoxicity and musculoskeletal toxicity can be life-threatening, and thus have strong impact on both the development and marketing of drugs. Because the conventional biomarkers such as aspartate aminotransferase (AST), lactate dehydrogenase (LDH), and creatine kinase (CK) have low detection power, there has been increasing interest in developing biomarkers with higher detection power. The current study examined the usefulness of several promising biomarkers, cardiac and skeletal muscle troponins (cTnI, cTnT and sTnI), fatty acid binding protein 3 (FABP3) and myosin light chain 3 (MYL3), and compared the obtained data to AST, LDH and CK in rat models treated with various myotoxic and non-myotoxic compounds (isoproterenol, metaproterenol, doxorubicin, mitoxantrone, allylamine, cyclosporine A, cyclophosphamide, aminoglutethimide, acetaminophen, methapyrilene, allylalcohol and α-naphthylisothiocyanate). These promising biomarkers were found to be superior to the conventional biomarkers, as they had a specific and abundant distribution within the heart and/or skeletal muscles; exhibited a positive correlation between the amplitude of increases and the degree of pathological alterations; had higher diagnostic accuracy for detecting pathological alterations; and had the additive effect of improving the diagnostic accuracy of conventional biomarkers. However, these promising biomarkers have several drawbacks including a rapid clearance, the fact that they are affected by renal dysfunction, and different reactivity to the mode of action of individual myotoxicants. In conclusion, the promising biomarkers cTnI, cTnT, FABP3, MYL3, and sTnI demonstrated sensitivity and specificity for cardiac and skeletal myotoxicity that was superior to those of conventional biomarkers, while we should pay attention to the drawbacks of these biomarkers when used in toxicity studies.

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乐备实（上海优宁维生物科技股份有限公司旗下全资子公司），是国内专注于提供高质量蛋白检测以及组学分析服务的实验服务专家，自2018年成立以来，乐备实不断寻求突破，公司的服务技术平台已扩展到单细胞测序、空间多组学、流式检测、超敏电化学发光、Luminex多因子检测、抗体芯片、PCR Array、ELISA、Elispot、PLA蛋白互作、多色免疫组化、DSP空间多组学等30多个，建立起了一套涵盖基因、蛋白、细胞以及组织水平实验的完整检测体系。

 
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