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临床前药理学研究中的性别差异评估:还有多远的路要走?

Evaluation of Sex Differences in Preclinical Pharmacology Research: How Far Is Left to Go?

作者信息

Allegra Sarah, Chiara Francesco, Di Grazia Daniela, Gaspari Marco, De Francia Silvia

机构信息

Department of Biological and Clinical Sciences, University of Turin, S. Luigi Gonzaga Hospital, 10043 Orbassano, Italy.

出版信息

Pharmaceuticals (Basel). 2023 May 24;16(6):786. doi: 10.3390/ph16060786.

Abstract

Until the last quarter of the 20th century, sex was not recognized as a variable in health research, nor was it believed to be a factor that could affect health and illness. Researchers preferred studying male models for a variety of reasons, such as simplicity, lower costs, hormone confounding effects, and fear of liability from perinatal exposure in case of pregnancy. Equitable representation is imperative for determining the safety, effectiveness, and tolerance of therapeutic agents for all consumers. Decades of female models' underrepresentation in preclinical studies has resulted in inequality in the understanding, diagnosis, and treatment of disease between the sexes. Sex bias has been highlighted as one of the contributing factors to the poor translation and replicability of preclinical research. There have been multiple calls for action, and the inclusion of sex as a biological variable is increasingly supported. However, although there has been substantial progress in the efforts to include more female models in preclinical studies, disparities today remain. In the present review, we consider the current standard practice of the preclinical research setting, why the sex bias exists, why there is the need to include female models, and what risks may arise from continuing this exclusion from experimental design.

摘要

直到20世纪最后25年,性别在健康研究中都未被视为一个变量,也没有人认为它是一个会影响健康和疾病的因素。出于各种原因,研究人员更倾向于研究雄性模型,比如简单、成本低、激素混杂效应以及担心怀孕情况下围产期暴露带来的责任风险。公平的代表性对于确定治疗药物对所有消费者的安全性、有效性和耐受性至关重要。临床前研究中数十年的雌性模型代表性不足导致了两性在疾病理解、诊断和治疗方面的不平等。性别偏见已被强调为临床前研究翻译效果不佳和可重复性差的一个促成因素。已经多次呼吁采取行动,将性别作为一个生物学变量纳入研究也越来越得到支持。然而,尽管在临床前研究中纳入更多雌性模型的努力取得了重大进展,但如今差异仍然存在。在本综述中,我们考虑临床前研究环境的当前标准做法、性别偏见存在的原因、为何需要纳入雌性模型以及继续在实验设计中排除雌性模型可能会产生哪些风险。

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