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Journal article
Dissociation of Genetic and Hormonal Influences on Sex Differences in Alcoholism-Related Behaviors
The Journal of neuroscience, v 30(27), pp 9140-9144
07 Jul 2010
PMID: 20610747
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
Differences between men and women in alcohol abuse prevalence have long been attributed to social and hormonal factors. It is, however, becoming apparent that sex differences in substance dependence are also influenced by genetic factors. Using a four core genotype mouse model that enables dissociation of chromosomal and gonadal sex, we show that habitual responding for alcohol reinforcement is mediated by sex chromosome complement independent of gonadal phenotype. After moderate instrumental training, chromosomal male (XY) mice became insensitive to outcome devaluation, indicating habitual responding. Chromosomal female (XX) mice remained sensitive to outcome devaluation, signifying goal-directed behavior. There was no effect of gonadal phenotype on habitual responding. Conversely, alcohol drinking was predicted by gonadal phenotype independent of sex chromosome complement. These results indicate that different alcoholism-related behaviors are determined independently by gonadal and chromosomal sex.
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Details
- Title
- Dissociation of Genetic and Hormonal Influences on Sex Differences in Alcoholism-Related Behaviors
- Creators
- Jacqueline M. Barker - Connecticut Mental Health CenterMary M. Torregrossa - Yale UniversityArthur P. Arnold - Department of Integrative Biology and Physiology, University of California, Los Angeles, Los Angeles, California 90095Jane R. Taylor - Yale University
- Publication Details
- The Journal of neuroscience, v 30(27), pp 9140-9144
- Publisher
- Society for Neuroscience
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- College of Medicine; Pharmacology and Physiology; Drexel University
- Web of Science ID
- WOS:000279581700012
- Scopus ID
- 2-s2.0-77954515014
- Other Identifier
- 991020099699504721
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- Collaboration types
- Domestic collaboration
- Web of Science research areas
- Neurosciences