Evolution & Ecology Research Centre, UNSW Data Science Hub, and School of Biological, Earth and Environmental Sciences, University of New South Wales, Sydney, NSW, 2052, Australia.
School of Archaeology and Anthropology, The Australian National University, Canberra, ACT, 2600, Australia.
Nat Commun. 2022 Dec 12;13(1):7502. doi: 10.1038/s41467-022-35266-6.
Sex differences in the lifetime risk and expression of disease are well-known. Preclinical research targeted at improving treatment, increasing health span, and reducing the financial burden of health care, has mostly been conducted on male animals and cells. The extent to which sex differences in phenotypic traits are explained by sex differences in body weight remains unclear. We quantify sex differences in the allometric relationship between trait value and body weight for 363 phenotypic traits in male and female mice, recorded in >2 million measurements from the International Mouse Phenotyping Consortium. We find sex differences in allometric parameters (slope, intercept, residual SD) are common (73% traits). Body weight differences do not explain all sex differences in trait values but scaling by weight may be useful for some traits. Our results show sex differences in phenotypic traits are trait-specific, promoting case-specific approaches to drug dosage scaled by body weight in mice.
性别在疾病的终身风险和表现方面存在差异,这是众所周知的。以改善治疗效果、延长健康寿命和减轻医疗保健经济负担为目标的临床前研究主要在雄性动物和细胞上进行。表型特征的性别差异在多大程度上可以用体重的性别差异来解释尚不清楚。我们量化了 363 种表型特征在雄性和雌性小鼠中,从国际小鼠表型联盟的超过 200 万项测量中记录的值与体重之间的比例关系的性别差异。我们发现,比例参数(斜率、截距、残差标准差)的性别差异很常见(73%的特征)。体重差异并不能解释所有特征值的性别差异,但按体重缩放可能对某些特征有用。我们的研究结果表明,表型特征的性别差异是特征特异性的,这促进了针对特定病例的药物剂量按体重在小鼠中缩放的方法。