The European journal of neuroscience | 2021

The environmental enrichment model revisited: a translatable paradigm to study the stress of our modern lifestyle.

 
 
 

Abstract


Mounting evidence shows that physical activity, social interaction, and sensorimotor stimulation provided by environmental enrichment (EE) exert several neurobehavioral effects traditionally interpreted as enhancements relative to standard housing (SH) conditions. However, this evidence rather indicates that SH induces many deficits, which could be ameliorated by exposing animals to an environment vaguely mimicking some features of their wild habitat. Rearing rodents in social isolation (SI) can aggravate such deficits, which can be restored by SH or EE. It is not surprising, therefore, that most preclinical stress models have included severe and unnatural stressors to produce a stress response prominent enough to be distinguishable from SH or SI -frequently used as control groups. Although current stress models induce a stress-related phenotype, they may fail to represent the stress of our urban lifestyle characterized by SI, poor housing, and working environments, sedentarism, obesity, and limited access to recreational activities and exercise. In the following review, we discuss the stress of living in urban areas and how exposures to and performing activities in green environments are stress-relievers. Based on the commonalities between human and animal EE, we discuss how models of housing conditions (e.g., SI-SH-EE) could be adapted to study the stress of our modern lifestyle. The housing-conditions model might be easy to implement and replicate leading to more translational results. It may also contribute to accomplishing some ethical commitments by promoting the refinement of procedures to model stress, diminishing animal suffering, enhancing animal welfare, and eventually reducing the number of experimental animals needed.

Volume None
Pages None
DOI 10.1111/ejn.15160
Language English
Journal The European journal of neuroscience

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