The DOI matches its Crossref record; 250 of the 250 references it cites were found in a registry or an index.
Sex differences in anxiety and depression: Role of testosterone
Open accessAbstract
Compelling evidence exists for pervasive sex differences in pathological conditions, including anxiety and depressive disorders, with females more than twice as likely to be afflicted. Gonadal hormones may be a major factor in this disparity, given that women are more likely to experience mood disturbances during times of hormonal flux, and testosterone may have protective benefits against anxiety and depression. In this review we focus on the effects of testosterone in males and females, revealed in both human and animal studies. We also present possible neurobiological mechanisms underlying testosterone's mostly protective benefits, including the brain regions, neural circuits, and cellular and molecular pathways involved. While the precise underlying mechanisms remain unclear, both activational and organizational effects of testosterone appear to contribute to these effects. Future clinical studies are necessary in order to better understand when and how testosterone therapy may be effective in both sexes.
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Microbiota and neurodevelopmental windows: implications for brain disorders
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Sex differences in anxiety disorders: Interactions between fear, stress, and gonadal hormones
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Skeletal muscle tissue engineering: methods to form skeletal myotubes and their applications
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Metadata
- Authors
- McHenry, J., Carrier, N., Hull, E., & Kabbaj, M.
- Venue
- Frontiers in Neuroendocrinology
- Publisher
- Elsevier BV
- Published
- 2014-01
- Volume
- 35
- Issue
- 1
- Pages
- 42-57
- ISSN
- 0091-3022 (ISSN-L)
- OpenAlex
- W1966375501
- Cited by
- 501
- References
- 250
- FWCI
- 6.46
- Type
- journal article
- Language
- en
- Open access
- green
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.