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Pregnanolone appearance coincides with the period of implantation following embryonic diapause in the roe deer

Journal
Reproduction (Cambridge, England) (Q1)
Published
28 July 2026
Study design
Unclassified
Evidence level
Level 5, Expert Opinion (CEBM 5)
Authors
Sara Elsafadi, Haolin Chen, Reto Giacometti, Anna-Katharina Hankele, Susanne Holtze, Frank Goeritz, et al.
PMID
42517829
DOI
10.1093/reprod/xaag091

Why clinicians should know about it

  • Picked for Embryology (paper of the day, 29 July 2026).

Abstract

Roe deer (Capreolus capreolus) are seasonal animals with fertilisation taking place in summer (July/August). Thereafter, the embryo enters a 4-5-month period of embryonic diapause. This reproductive strategy, displaying a reduced embryonic developmental velocity at the blastocyst stage, leads to reactivation and implantation in late December-January and parturition in spring (May/June). The endocrine mechanisms governing reactivation, implantation and placentation remain poorly understood. Here, we applied ultra-high-performance liquid chromatography coupled to high-resolution mass spectrometry (UHPLC-HRMS) to profile circulating progestogens from reactivation through late gestation (December-April) and in placental and luteal tissue. Notably, the neurosteroid pregnanolone (3α,5β-THP) appeared exclusively in pregnant does from late December/early January onwards, coinciding with the period of implantation. Pregnanolone was detected in placental but not luteal tissue, suggesting the placenta as a potential source of origin. Our results indicate a previously unrecognised shift in progestogens from reactivation/early placentation onwards, suggesting that non-classical progestogens may contribute to the endocrine regulation of implantation and pregnancy maintenance. Further investigation into the origin and functional roles of pregnanolone are needed to elucidate its contribution to pregnancy and reproductive success in roe deer.

Abstract as published, via PubMed.

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For healthcare professionals. The summary is generated by AI from the published abstract, and the evidence level is assigned automatically from the study design on the Oxford CEBM hierarchy. Neither is medical advice. Read the full paper before changing practice.