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首页> 外文期刊>Developmental psychobiology. >Looking back and moving forward: Evaluating and advancing translation from animal models to human studies of early life stress and DNA methylation
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Looking back and moving forward: Evaluating and advancing translation from animal models to human studies of early life stress and DNA methylation

机译:向前望着和前进:评估和推进动物模型转换对早期生命应激和DNA甲基化的人类研究

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摘要

Abstract Advances in epigenetic methodologies have deepened theoretical explanations of mechanisms linking early life stress (ELS) and disease outcomes and suggest promising targets for intervention. To date, however, human studies have not capitalized on the richness of diverse animal models to derive and systematically evaluate specific and testable hypotheses. To promote cross‐species dialog and scientific advance, here we provide a classification scheme to systematically evaluate the match between characteristics of human and animal studies of ELS and DNA methylation. Three preclinical models were selected that are highly cited, and that differ in the nature and severity of the ELS manipulation as well as in the affected epigenetic loci (the licking and grooming, maternal separation, and caregiver maltreatment models). We evaluated the degree to which human studies matched these preclinical models with respect to the timing of ELS and of DNA methylation assessment, as well as the type of ELS, whether sex differences were explicitly examined, the tissue sampled, and the targeted loci. Results revealed 50% match (range of 8–83%) between preclinical models and human work on these variables. Immediate and longer‐term suggestions to improve translational specificity are offered, with the goal of accelerating scientific advance.
机译:摘要表观遗传方法的进步加深了与较早生命压力(ELS)和疾病结果的机制的理论解释,并提出了有前途的干预目标。然而,迄今为止,人类研究没有资本化不同动物模型的丰富性,以获得和系统地评估特定和可测试的假设。为了促进跨物种对话和科学进步,在这里,我们提供了一种分类方案,以系统地评估ELS和DNA甲基化的人类和动物研究的特征之间的匹配。选择了三种临床前模型,这些模型高度引用,并且在els操纵的性质和严重程度下以及受影响的表观遗传基因座(舔和修饰,孕产妇分离和护理人员虐待模型)不同。我们评估了人类研究与els和DNA甲基化评估的时序相匹配的程度,以及ELS的类型,无论是明确检查的性别差异,组织采样和靶向基因座。结果显示出在这些变量上的临床前模型和人类工作之间的50%匹配(范围为8-83%)。提高改善翻译特异性的直接和长期建议,目标是加速科学进步。

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