Regulation of steroidogenesis and cholesterol synthesis by prostaglandin F-2α and lipoproteins in bovine luteal cells
in ReproductionSearch for other papers by J. L. Pate in
Current site
Google Scholar
PubMed
Search for other papers by W. A. Condon in
Current site
Google Scholar
PubMed
Summary. Bovine luteal cells can utilize low density lipoprotein (LDL) or high density lipoprotein (HDL) as a source of cholesterol for steroidogenesis, and administration of PGF-2α in vitro suppresses lipoprotein utilization. The objective of this study was to examine the mechanism by which PGF-2α exerts this effect. Cultured bovine luteal cells received 0·25 μCi[14C]acetate/ml, to assess rates of de-novo sterol and steroid synthesis, with or without lipoproteins. Both LDL and HDL enhanced progesterone production (P < 0·01), but caused a significant reduction in the amount of radioactivity in the cholesterol fraction. PGF-2α treatment inhibited the increase in lipoprotein-induced progesterone synthesis (P < 0·01), but did not prevent the reduction in de-novo cholesterol synthesis brought about by LDL or HDL. PGF-2α alone reduced cholesterol synthesis (P < 0·01), but it was not as effective as either LDL or HDL. Both lipoproteins and PGF-2α also decreased the amount of radioactivity in the progesterone fraction (P < 0·01), and the effect of PGF-2α was similar to that of the lipoproteins. It is concluded that lipoproteins can enhance progesterone production and also suppress de-novo cholesterol synthesis in bovine luteal cells, but only the former effect of lipoproteins is inhibited by PGF-2α. Therefore, it is suggested that PGF-2α allows entry of lipoprotein cholesterol into the cell, but prevents utilization for steroidogenesis. In addition, PGF-2α alone can suppress cholesterol synthesis, as well as decrease conversion of cholesterol to progesterone.
Keywords: corpus luteum; PGF-2α; lipoproteins; cholesterol; cow
Reproduction is committed to supporting researchers in demonstrating the impact of their articles published in the journal.
The two types of article metrics we measure are (i) more traditional full-text views and pdf downloads, and (ii) Altmetric data, which shows the wider impact of articles in a range of non-traditional sources, such as social media.
More information is on the Reasons to publish page.
| Sept 2018 onwards | Past Year | Past 30 Days | |
|---|---|---|---|
| Full Text Views | 218 | 67 | 4 |
| PDF Downloads | 127 | 39 | 4 |
Online ISSN: 1741-7899
Print ISSN: 1470-1626
Strengthening biomedical communities
to advance science and health
CONTACT US
Bioscientifica Ltd | Starling House | 1600 Bristol Parkway North | Bristol BS34 8YU | UK
Bioscientifica Ltd | Registered in England no 3190519