Insights of the role of estrogen in obesity from two models of ERα deletion

Urine levels of estrogen and its metabolites in premenopausal middle-aged women with different degrees of obesity and their correlation with glucose and lipid metabolism

Objectives

To determine the levels of estrogen and estrogen metabolites in the urine of premenopausal women with obesity and their correlation with glucose and lipid metabolism.

Methords

135 premenopausal women were selected from the same area. According to the body mass index (BMI), they were divided into four different groups. High performance liquid chromatography-mass spectrometry (HPLC/MS) was adopted to detect the concentrations of estrogen and estrogen metabolites in the urine. The influencing factors of BMI were analyzed, the correlation between the urinary degrees of estrogen and estrogen metabolites and glucose and lipid metabolism levels was assessed.

Results

(1) The concentrations of 17β-estradiol (E2), estrone (E1), 16α-hydroxyestrone (16α-OHE1) and 2-hydroxyestrone (2-OHE1) gradually increased with increasing BMI (p < 0.05). (2) Stepwise regression analysis displayed that the concentrations of E2, 16α-OHE1 and 2-OHE1 in urine were significantly positively correlated with BMI (p < 0.05). (3) The concentrations of E2, E1, 16α-OHE1, 2-OHE1 and 16α-OHE1/2-OHE1 in urine were greatly positively related to fasting insulin (FIN), Triglyceride (TG), Total Cholesterol (TC) and Low-density lipoprotein (LDL) (p < 0.05). And they were greatly negatively related to High-density lipoprotein (HDL) (p < 0.05).

Conclusions

Early screening can reflect the degree of obesity and glucose and lipid metabolism disorders in premenopausal middle-aged women, thereby providing guidance for improving the prognosis of obese women.

Exploring therapeutic targets and drug candidates for obesity: a combined network pharmacology, bioinformatics approach

The remarkably high prevalence of obesity in Saudi Arabia reflects a global epidemic demanding urgent attention due to its associated health risks. The integration of traditional medicine, a vital cultural aspect, involves the use of medicinal plants to address various diseases, including obesity. This research merges network pharmacology (NP) and bioinformatics to innovate obesity treatment by identifying effective phytochemicals from native plants in the Taif valley. Focusing on six indigenous plants-Senna alexandrina, Capsicum annuum, Zingiber officinale, Curcuma longa, Trigonella foenum-graecum, and Foeniculum vulgare-we conducted preliminary screenings for potential bioactive compounds. We systematically compiled compound data from public databases and reviewed literature, revealing active compounds like apigenin, kaempferol, moupinamide, cyclocurcumin, chrysoeriol, isorhamnetin, rheinanthrone, cyclocurcumin, and riboflavin.Constructing a compound-target genes-obesity network unveiled their significant impact on metabolic regulation and fat accumulation, interacting notably with key proteins AKT1 and PTGS2. Molecular docking and 100 ns Molecular Dynamic (MD) simulations demonstrated robust binding affinity and stability at the docking site. Employing adipocytes as a cellular model, we gauged their viability and response to obesity-related stressors post-treatment with these native plant compounds.In conclusion, Saudi Arabia's indigenous plants hold promise as natural solutions for obesity treatment. This research opens new avenues in the battle against this pervasive health crisis by incorporating the potential of native botanicals.Communicated by Ramaswamy H. Sarma.

Estradiol cycling drives female obesogenic adipocyte hyperplasia

White adipose tissue (WAT) distribution is sex dependent. Adipocyte hyperplasia contributes to WAT distribution in mice driven by cues in the tissue microenvironment, with females displaying hyperplasia in subcutaneous and visceral WAT, while males and ovariectomized females have visceral WAT (VWAT)-specific hyperplasia. However, the mechanism underlying sex-specific hyperplasia remains elusive. Here, transcriptome analysis in female mice shows that high-fat diet (HFD) induces estrogen signaling in adipocyte precursor cells (APCs). Analysis of APCs throughout the estrous cycle demonstrates increased proliferation only when proestrus (high estrogen) coincides with the onset of HFD feeding. We further show that estrogen receptor α (ERα) is required for this proliferation and that estradiol treatment at the onset of HFD feeding is sufficient to drive it. This estrous influence on APC proliferation leads to increased obesity driven by adipocyte hyperplasia. These data indicate that estrogen drives ERα-dependent obesogenic adipocyte hyperplasia in females, exacerbating obesity and contributing to the differential fat distribution between the sexes.