Shin Hye Sook, Shin Heather Hyeyoon, Shudo Yasuhiro
Department of Cardiothoracic Surgery, Stanford University School of Medicine, Stanford, CA, United States.
Stanford Cardiovascular Institute, Stanford University School of Medicine, Stanford, CA, United States.
Front Bioeng Biotechnol. 2021 Apr 29;9:673683. doi: 10.3389/fbioe.2021.673683. eCollection 2021.
Establishing an appropriate disease model that mimics the complexities of human cardiovascular disease is critical for evaluating the clinical efficacy and translation success. The multifaceted and complex nature of human ischemic heart disease is difficult to recapitulate in animal models. This difficulty is often compounded by the methodological biases introduced in animal studies. Considerable variations across animal species, modifications made in surgical procedures, and inadequate randomization, sample size calculation, blinding, and heterogeneity of animal models used often produce preclinical cardiovascular research that looks promising but is irreproducible and not translatable. Moreover, many published papers are not transparent enough for other investigators to verify the feasibility of the studies and the therapeutics' efficacy. Unfortunately, successful translation of these innovative therapies in such a closed and biased research is difficult. This review discusses some challenges in current preclinical myocardial infarction research, focusing on the following three major inhibitors for its successful translation: Inappropriate disease model, frequent modifications to surgical procedures, and insufficient reporting transparency.
建立一个能模拟人类心血管疾病复杂性的合适疾病模型对于评估临床疗效和转化成功至关重要。人类缺血性心脏病的多方面和复杂性质很难在动物模型中重现。动物研究中引入的方法学偏差常常使这一困难更加复杂。动物物种之间的显著差异、手术程序的改变、随机化不足、样本量计算、盲法以及所用动物模型的异质性，常常导致临床前心血管研究看似很有前景，但却不可重复且无法转化。此外，许多已发表的论文不够透明，其他研究人员难以验证研究的可行性和治疗方法的疗效。不幸的是，在这种封闭且有偏差的研究中，这些创新疗法的成功转化很困难。本综述讨论了当前临床前心肌梗死研究中的一些挑战，重点关注其成功转化的以下三大阻碍因素：不合适的疾病模型、手术程序的频繁修改以及报告透明度不足。
