Paracrine Regulation of the Bovine Ovarian Prorenin-Renin-Angiotensin-System

  • Bärbel Brunswig-Spickenheier
  • Bettina Steinbach
  • Amal K. Mukhopadhyay
Part of the Advances in Experimental Medicine and Biology book series (AEMB, volume 377)

Abstract

In the bovine ovary, prorenin production by theca cells is known to be regulated by LH. In the present study the aim was to evaluate whether LH-stimulated prorenin production could be further modulated by intraovarian factors in vitro. Theca cells were isolated from bovine ovaries by enzymatic dispersion, purified over Percoll gradient and cultured under serum-free conditions with LH/8Br-cAMP in the absence or presence of different steroids and growth factors and the amount of prorenin secreted into the medium was measured. None of the steroids used (androstendione, estradiol, progesterone) influenced the basal or LH-stimulated prorenin production. In contrast, cytokines and growth factors, like TNFα, TGFα, TGFβ and bFGF proved to be important regulators of prorenin synthesis. Whereas TNFα, TGFα and bFGF significantly reduced the LH-and 8Br-cAMP-induced prorenin synthesis at a site distal to cAMP formation, addition of TGFβ led to a further increase in the amount of prorenin secreted into the medium. None of the agonists had an influence on prorenin production by itself. The observed effects of cytokines and growth factors seemed to be confined to prorenin production only, since cell number, cell viability and steroidogenic response were not at all influenced by the agonists. We conclude that, although LH appears to be the primary regulator of ovarian prorenin production, several paracrine/autocrine intraovarian factors may be involved in “finely tuning” the secretion of prorenin, which is necessary for maintaining the differentiated state of the follicle.

Keywords

Granulosa Cell Follicular Fluid Theca Cell Luteal Cell Atretic Follicle 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Science+Business Media New York 1995

Authors and Affiliations

  • Bärbel Brunswig-Spickenheier
    • 1
  • Bettina Steinbach
    • 1
  • Amal K. Mukhopadhyay
    • 1
  1. 1.Institute for Hormone and Fertility ResearchUniversity of HamburgHamburgGermany

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