Early Detection of Apathetic Phenotypes in Huntington’s Disease Knock-in Mice Using Open Source Tools

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Shawn Minnig
Robert M. Bragg
Hardeep S. Tiwana
Wes T. Solem
William S. Hovander
Eva-Mari S. Vik
Madeline Hamilton
Samuel R. W. Legg
Dominic D. Shuttleworth
Sydney R. Coffey
Jeffrey P. Cantle
Jeffrey B. Carroll
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[1] Western Washington University,Behavioral Neuroscience Program, Department of Psychology
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Apathy is one of the most prevalent and progressive psychiatric symptoms in Huntington’s disease (HD) patients. However, preclinical work in HD mouse models tends to focus on molecular and motor, rather than affective, phenotypes. Measuring behavior in mice often produces noisy data and requires large cohorts to detect phenotypic rescue with appropriate power. The operant equipment necessary for measuring affective phenotypes is typically expensive, proprietary to commercial entities, and bulky which can render adequately sized mouse cohorts as cost-prohibitive. Thus, we describe here a home-built, open-source alternative to commercial hardware that is reliable, scalable, and reproducible. Using off-the-shelf hardware, we adapted and built several of the rodent operant buckets (ROBucket) to test HttQ111/+ mice for attention deficits in fixed ratio (FR) and progressive ratio (PR) tasks. We find that, despite normal performance in reward attainment in the FR task, HttQ111/+ mice exhibit reduced PR performance at 9–11 months of age, suggesting motivational deficits. We replicated this in two independent cohorts, demonstrating the reliability and utility of both the apathetic phenotype, and these ROBuckets, for preclinical HD studies.
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