Multiparametric Assays Capture Sex- and Environment-Dependent Modifiers of Behavioral Phenotypes in Autism Mouse Models
Current phenotyping approaches for murine autism models often focus on one selected behavioral feature, making the translation onto a spectrum of autistic characteristics in humans challenging. Furthermore, sex and environmental factors are rarely considered. Here, we aimed to capture the full spect...
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Veröffentlicht in: | Biological psychiatry global open science 2024-11, Vol.4 (6), p.100366, Article 100366 |
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Zusammenfassung: | Current phenotyping approaches for murine autism models often focus on one selected behavioral feature, making the translation onto a spectrum of autistic characteristics in humans challenging. Furthermore, sex and environmental factors are rarely considered. Here, we aimed to capture the full spectrum of behavioral manifestations in 3 autism mouse models to develop a “behavioral fingerprint” that takes environmental and sex influences under consideration.
To this end, we employed a wide range of classical standardized behavioral tests and 2 multiparametric behavioral assays—the Live Mouse Tracker and Motion Sequencing—on male and female Shank2, Tsc1, and Purkinje cell–specific Tsc1 mutant mice raised in standard or enriched environments. Our aim was to integrate our high dimensional data into one single platform to classify differences in all experimental groups along dimensions with maximum discriminative power.
Multiparametric behavioral assays enabled a more accurate classification of experimental groups than classical tests, and dimensionality reduction analysis demonstrated significant additional gains in classification accuracy, highlighting the presence of sex, environmental, and genotype differences in our experimental groups.
Together, our results provide a complete phenotypic description of all tested groups, suggesting that multiparametric assays can capture the entire spectrum of the heterogeneous phenotype in autism mouse models.
Traditional methods of studying behavior in mouse models of human disorders often focus on single behavioral features. The current study sought to address this gap by examining 3 autism mouse models, using a variety of traditional and novel behavioral tests and computational dimensionality reduction analyses, to create a “behavioral fingerprint” for each animal. This study also considered the effects of the environmental factor of housing conditions and sex on behavior in these models. The findings suggest that complex, multiparametric assays offer a more nuanced portrayal of behavioral variability in autism mouse models, showcasing the complex interplay of genetics, environment, and behavior. |
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ISSN: | 2667-1743 2667-1743 |
DOI: | 10.1016/j.bpsgos.2024.100366 |