The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Physiology, production and action of progesterone
Abstract
Introduction: The aim of this article is to review the physiology of progesterone and focus on its physiological actions on tissues such as endometrium, uterus, mammary gland, cardiovascular system, central nervous system and bones. In the last decades, the interest of researchers has focused on the role of progesterone in genomic and non‐genomic receptor mechanisms. Materials and Methods: We searched PubMed up to December 2014 for publications on progesterone/steroidogenesis. Results and Conclusions: A better understanding of the biological genomic and non‐genomic receptor mechanisms could enable us in the near future to obtain a more comprehensive knowledge of the safety and efficacy of this agent during hormone replacement therapy (natural progesterone),in vitro fertilization (water‐soluble subcutaneous progesterone), in traumatic brain injury, Alzheimer's disease and diabetic neuropathy, even though further clinical studies are needed to prove its usefulness.
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Citations
Cites
Fournier, A., Berrino, F., & Clavel-Chapelon, F. (2007) · Breast Cancer Research and Treatment · doi:10.1007/s10549-007-9523-x · Cited by 693
Effects of luteectomy and progesterone replacement therapy in early pregnant patients
Csapo, A. I., Pulkkinen, M. O., & Wiest, W. G. (1973) · American Journal of Obstetrics and Gynecology · doi:10.1016/0002-9378(73)90517-6 · Cited by 401
Metadata
- Authors
- Taraborrelli, S.
- Venue
- Acta Obstetricia et Gynecologica Scandinavica
- Publisher
- Wiley
- Published
- 2015-11
- Volume
- 94
- Issue
- S161
- Pages
- 8-16
- ISSN
- 0001-6349 (ISSN-L)
- 1600-0412
- OpenAlex
- W2096429037
- Cited by
- 274
- References
- 2
- FWCI
- 3.70
- Type
- journal article
- Language
- en
- Open access
- closed
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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.
