Kaempferol, a Phytoprogestin, Induces a Subset of Progesterone-Regulated Genes in the Uterus.
Tova M BergstenKailiang LiDaniel D LantvitBrian T MurphyJoanna E BurdettePublished in: Nutrients (2023)
Progesterone functions as a steroid hormone involved in female reproductive physiology. While some reproductive disorders manifest with symptoms that can be treated by progesterone or synthetic progestins, recent data suggest that women also seek botanical supplements to alleviate these symptoms. However, botanical supplements are not regulated by the U.S. Food and Drug Administration and therefore it is important to characterize and quantify the inherent active compounds and biological targets of supplements within cellular and animal systems. In this study, we analyzed the effect of two natural products, the flavonoids, apigenin and kaempferol, to determine their relationship to progesterone treatment in vivo. According to immunohistochemical analysis of uterine tissue, kaempferol and apigenin have some progestogenic activity, but do not act in exactly the same manner as progesterone. More specifically, kaempferol treatment did not induce HAND2, did not change proliferation, and induced ZBTB16 expression. Additionally, while apigenin treatment did not appear to dramatically affect transcripts, kaempferol treatment altered some transcripts (44%) in a similar manner to progesterone treatment but had some unique effects as well. Kaempferol regulated primarily unfolded protein response, androgen response, and interferon-related transcripts in a similar manner to progesterone. However, the effects of progesterone were more significant in regulating thousands of transcripts making kaempferol a selective modifier of signaling in the mouse uterus. In summary, the phytoprogestins, apigenin and kaempferol, have progestogenic activity in vivo but also act uniquely.
Keyphrases
- estrogen receptor
- machine learning
- gene expression
- immune response
- risk assessment
- type diabetes
- pregnant women
- adipose tissue
- dendritic cells
- dna methylation
- artificial intelligence
- amino acid
- long non coding rna
- insulin resistance
- oxidative stress
- combination therapy
- diabetic rats
- replacement therapy
- smoking cessation