Pathway Preferential Estrogens Prevent Hepatosteatosis Due to Ovariectomy and High-Fat Diets.
Qian-Ying ZuoKaren L ChenAlicia Arredondo EveYu-Jeh LiuSung Hoon KimBenita S KatzenellenbogenJohn A KatzenellenbogenZeynep Madak ErdoganPublished in: Nutrients (2021)
About 20-30% of premenopausal women have metabolic syndrome, and the number is almost double in postmenopausal women, and these women have an increased risk of hepatosteatosis. Postmenopausal women with metabolic syndrome are often treated with hormone replacement therapy (HRT), but estrogens in currently available HRTs increase the risk of breast and endometrial cancers and Cardiovascular Disease. Therefore, there is a critical need to find safer alternatives to HRT to improve postmenopausal metabolic health. Pathway preferential estrogen 1 (PaPE-1) is a novel estrogen receptor ligand that has been shown to favorably affect metabolic tissues without adverse effects on reproductive tissues. In this study, we have examined the effects of PaPE-1 on metabolic health, in particular, examining its effects on the liver transcriptome and on plasma metabolites in two different mouse models: diet-induced obesity (DIO) and leptin-deficient (ob/ob) mice. PaPE-1 significantly decreased liver weight and lipid accumulation in both DIO and ob/ob models and lowered the expression of genes associated with fatty acid metabolism and collagen deposition. In addition, PaPE-1 significantly increased the expression of mitochondrial genes, particularly ones associated with the electron transport chain, suggesting an increase in energy expenditure. Integrated pathway analysis using transcriptomics and metabolomics data showed that PaPE-1 treatment lowered inflammation, collagen deposition, and pathways regulating fatty acid metabolism and increased metabolites associated with glutathione metabolism. Overall, our findings support a beneficial metabolic role for PaPE-1 and suggest that PaPE-1 may protect postmenopausal women from fatty liver disease without increasing reproductive cancer risk.
Keyphrases
- postmenopausal women
- bone mineral density
- metabolic syndrome
- estrogen receptor
- fatty acid
- replacement therapy
- cardiovascular disease
- insulin resistance
- weight loss
- oxidative stress
- poor prognosis
- polycystic ovary syndrome
- gene expression
- healthcare
- public health
- high fat diet induced
- breast cancer risk
- type diabetes
- mouse model
- single cell
- genome wide
- ms ms
- cardiovascular risk factors
- uric acid
- body composition
- mass spectrometry
- physical activity
- weight gain
- risk assessment
- body mass index
- health information
- big data
- artificial intelligence
- adipose tissue
- pregnancy outcomes
- emergency department
- electronic health record
- endometrial cancer
- binding protein
- body weight
- human health
- electron transfer
- health promotion