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大鼠累积应激负荷测量(rCALM):应激负担的一种新的转化评估方法。

The rat cumulative allostatic load measure (rCALM): a new translational assessment of the burden of stress.

作者信息

McCreary J Keiko, Erickson Zachary T, Paxman Eric, Kiss Douglas, Montina Tony, Olson David M, Metz Gerlinde A S

机构信息

Department of Neuroscience, Canadian Centre for Behavioural Neuroscience, University of Lethbridge, Lethbridge, Alberta, Canada.

Department of Chemistry and Biochemistry, University of Lethbridge, Lethbridge, Alberta, Canada.

出版信息

Environ Epigenet. 2019 May 4;5(1):dvz005. doi: 10.1093/eep/dvz005. eCollection 2019 Jan.

Abstract

Determinants of lifetime health are complex and emphasize the need for robust predictors of disease risk. Allostatic load (AL) has become a clinical framework to estimate the cumulative biological burden associated with chronic stress. To assist knowledge translation in the developmental origins of health and disease field, clinically valid methods for reliable AL assessment in experimental models are urgently needed. Here, we introduce the rat cumulative allostatic load measure (rCALM), as a new preclinical knowledge translation tool to assess the burden of chronic stress. First, we identified an array of stress-associated physiological markers that are particularly sensitive to hypothalamic-pituitary-adrenal axis dysregulation by ancestral prenatal stress. Second, we determined which of these markers are susceptible to an intervention by environmental enrichment (EE) to mitigate AL. The markers most responsive to stress and EE therapy were assembled to become operationalized in the rCALM. Third, the new rCALM was validated for the ability to indicate future disease risks. The results show that the rCALM estimates the burden of chronic stress and serves as a proxy to estimate stress resilience and vulnerability to disease. Using the rCALM we showed that enrichment therapy can offset the adverse health outcomes linked to a high AL. Thus, the rCALM provides a model for the development of new test strategies that facilitate knowledge translation in preclinical animal models.

摘要

终生健康的决定因素很复杂,这凸显了对疾病风险的可靠预测指标的需求。应激负荷(AL)已成为一种临床框架,用于评估与慢性应激相关的累积生物学负担。为了促进健康与疾病发育起源领域的知识转化,迫切需要在实验模型中进行可靠的AL评估的临床有效方法。在此,我们引入大鼠累积应激负荷测量法(rCALM),作为一种评估慢性应激负担的新的临床前知识转化工具。首先,我们确定了一系列与应激相关的生理标志物,这些标志物对祖先产前应激导致的下丘脑 - 垂体 - 肾上腺轴失调特别敏感。其次,我们确定了这些标志物中哪些易于受到环境富集(EE)干预以减轻AL。对压力和EE疗法反应最敏感的标志物被整合到rCALM中以便实施。第三,新的rCALM在指示未来疾病风险的能力方面得到了验证。结果表明,rCALM可估计慢性应激负担,并可作为估计应激恢复力和疾病易感性的指标。使用rCALM我们表明富集疗法可以抵消与高AL相关的不良健康后果。因此,rCALM为开发新测试策略提供了一个模型,有助于临床前动物模型中的知识转化。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/af13/6500369/be14301c2202/dvz005f1.jpg

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