Building a framework to optimize animal models of maternal immune activation: Like your ongoing home improvements, it's a work in progress.
Building a framework to optimize animal models of maternal immune activation: Like your ongoing home improvements, it's a work in progress.
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建立一个框架来优化母体免疫激活的动物模型:就像您正在进行的家庭装修一样,这是一项正在进行的工作。
DOI:
10.1016/j.bbi.2018.10.011
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发表时间:
2019
期刊:
影响因子:
--
通讯作者:
Kentner,AmandaC
中科院分区:
文献类型:
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作者:
Roderick,RylandC;Kentner,AmandaC
Animal models of maternal immune activation (mIA) have emerged as both translationally relevant and essential for targeting the molecular mechanisms underlying neuropsychiatric disorders. Importantly, experimental outcomes associated with mIA vary as a function of specific study components (eg immunogen, dose, species/strain) and other husbandry considerations that are typically under reported yet influential to the immune response and the integrity of our animal models (Estes and McAllister, 2016; Kentner et al., 2018). In this issue of Brain, Behavior, and Immunity, Murray et al (2018) lay groundwork to guide the establishment of best practices for the validation and reporting of our mIA models. These steps built the foundation from which their laboratory explored the early developmental trajectory of morphometric markers in male and female offspring, revealing sexually dimorphic phenotypic changes following mIA.Across the past decade there has been a growing consciousness calling for increased scientific rigor and reproducibility (Collins & Tabak, 2014), and for better reporting standards (Kilkenny et al., 2010) in biomedical research. Within this context, Murray et al (2018) astutely identified issues in the mIA literature including a lack of defined criteria for how important elements of our study protocols are selected. For example, the immunogens and doses of interest, administration routes and schedules, in addition to the specific strains and sex employed. While this list is not exhaustive, these are fundamental components to every mIA study and the rationale for our choices ought to be transparent and evidencebased. The importance of this is highlighted by Murray and colleagues (2018) who point out that while mice are most commonly used in the mIA literature, the use of rats is increasing too. Although some mIA mouse models have been validated, the same methods may not be appropriate for other species and further validation of these models are necessary.