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1.
Sci China Life Sci ; 2024 Apr 23.
Article in English | MEDLINE | ID: mdl-38709439

ABSTRACT

Polycystic ovary syndrome (PCOS) is a complex disorder. Genome-wide association studies (GWAS) have identified several genes associated with this condition, including DENND1A. DENND1A encodes a clathrin-binding protein that functions as a guanine nucleotide exchange factor involved in vesicular transport. However, the specific role of DENND1A in reproductive hormone abnormalities and follicle development disorders in PCOS remain poorly understood. In this study, we investigated DENND1A expression in ovarian granulosa cells (GCs) from PCOS patients and its correlation with hormones. Our results revealed an upregulation of DENND1A expression in GCs from PCOS cases, which was positively correlated with testosterone levels. To further explore the functional implications of DENND1A, we generated a transgenic mouse model overexpressing Dennd1a (TG mice). These TG mice exhibited subfertility, irregular estrous cycles, and increased testosterone production following PMSG stimulation. Additionally, the TG mice displayed diminished responsiveness to FSH, characterized by smaller ovary size, less well-developed follicles, and abnormal expressions of FSH-priming genes. Mechanistically, we found that Dennd1a overexpression disrupted the intracellular trafficking of follicle stimulating hormone receptor (FSHR), promoting its internalization and inhibiting recycling. These findings shed light on the reproductive role of DENND1A and uncover the underlying mechanisms, thereby contributing valuable insights into the pathogenesis of PCOS and providing potential avenues for drug design in PCOS treatment.

2.
J Transl Med ; 22(1): 145, 2024 Feb 12.
Article in English | MEDLINE | ID: mdl-38347623

ABSTRACT

BACKGROUND: Excessive energy intake in modern society has led to an epidemic surge in metabolic diseases, such as obesity and type 2 diabetes, posing profound threats to women's reproductive health. However, the precise impact and underlying pathogenesis of energy excess on female reproduction remain unclear. METHODS: We established an obese and hyperglycemic female mouse model induced by a high-fat and high-sucrose (HFHS) diet, then reproductive phenotypes of these mice were evaluated by examing sexual hormones, estrous cycles, and ovarian morphologies. Transcriptomic and precise metabolomic analyses of the ovaries were performed to compare the molecular and metabolic changes in HFHS mice. Finally, orthogonal partial least squares discriminant analysis was performed to compare the similarities of traits between HFHS mice and women with polycystic ovary syndrome (PCOS). RESULTS: The HFHS mice displayed marked reproductive dysfunctions, including elevated serum testosterone and luteinizing hormone levels, irregular estrous cycles, and impaired folliculogenesis, mimicking the clinical manifestations of women with PCOS. Precise metabolomic overview suggested that HFHS diet disrupted amino acid metabolism in the ovaries of female mice. Additionally, transcriptional profiling revealed pronounced disturbances in ovarian steroid hormone biosynthesis and glucolipid metabolism in HFHS mice. Further multi-omics analyses unveiled prominent aberration in ovarian arginine biosynthesis pathway. Notably, comparisons between HFHS mice and a cohort of PCOS patients identified analogous reproductive and metabolic signatures. CONCLUSIONS: Our results provide direct in vivo evidence for the detrimental effects of overnutrition on female reproduction and offer insights into the metabolic underpinnings of PCOS.


Subject(s)
Diabetes Mellitus, Type 2 , Polycystic Ovary Syndrome , Female , Humans , Animals , Mice , Sucrose/adverse effects , Diabetes Mellitus, Type 2/complications , Reproduction , Diet , Gene Expression Profiling , Diet, High-Fat/adverse effects
3.
Environ Res ; 218: 115056, 2023 02 01.
Article in English | MEDLINE | ID: mdl-36521537

ABSTRACT

BACKGROUND: Lack of evidence exists on whether air pollution exposure may affect ovarian reserve, especially for Chinese women. OBJECTIVES: To explore the association between exposure to various air pollutants and anti-Müllerian hormone (AMH), a predictor of ovarian reserve, over different exposure windows in Shandong Province, China. METHODS: We enrolled 18,878 women who had AMH measurements in the Center for Reproductive Medicine, Shandong University during 2010-2019. Daily average concentrations of ambient particulate matter with diameters ≤1 µm/2.5 µm/10 µm (PM1, PM2.5, and PM10), nitrogen dioxide (NO2) and ozone (O3) were developed at a spatial resolution of 0.01° × 0.01°, and assigned to the residential addresses. Three exposure windows were considered, i.e., the process from primary to small antral follicle stage (W1), from primary to secondary follicle stage (W2), and from secondary to small antral follicle stage (W3). The air pollution-AMH association was fitted using the multivariable linear mixed effect model with adjustment for potential confounders. Stratified analyses were performed by age group, overweight status, residential region, and educational level. RESULTS: The level of AMH changed by -8.8% (95% confidence interval (CI): -12.1%, -5.3%), -2.1% (95% CI: -3.5%, -0.6%), -1.9% (95% CI: -3.3%, -0.5%), and -4.5% (95% CI: -7.1%, -1.9%) per 10 µg/m3 increase in PM1, PM2.5, PM10, and NO2, respectively, during W1. The effect estimates were significant during W2 for PM1, PM2.5 and NO2 while minimal association was observed in W3. Greater vulnerability for certain air pollutants were observed for women who lived in inland areas and were less educated. CONCLUSIONS: We found that ovarian reserve was negatively associated with air pollution exposure for women, particularly from the primary to secondary follicle stage. The effect estimate increased by the reduction in the diameter of PMs, which also varied across population sub-groups.


Subject(s)
Air Pollutants , Air Pollution , Ovarian Reserve , Humans , Female , Particulate Matter/toxicity , Particulate Matter/analysis , Nitrogen Dioxide/analysis , Air Pollution/analysis , Air Pollutants/toxicity , Air Pollutants/analysis , China/epidemiology , Environmental Exposure/analysis
4.
Biochem Biophys Res Commun ; 496(1): 191-198, 2018 01 29.
Article in English | MEDLINE | ID: mdl-29307835

ABSTRACT

PURPOSE: Characterization of the genetic landscapes of familial ovarian cancer through integrated analysis of microRNA and mRNA by partial least squares (PLS) and Monte Carlo technique based on genome-wide association studies (GWAS). METHODS: The miRNA and mRNA transcriptional data in familial ovarian cancer were characterized from the Gene Expression Omnibus (GEO) database. The miRNA and mRNA expression profiles in peripheral blood lymphocytes (PBLs) of 74 familial ovarian cancer patients and 47 control subjects were analyzed with the integration of partial least squares (PLS) and Monte Carlo techniques. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses were also performed. RESULTS: Total of 16 miRNA-mRNA pairs were identified with the target gene prediction results of miRNAs and mRNAs. An innovated miRNA-mRNA integrated network was constructed in which 6 downregulated miRNAs and 1 upregulated miRNAs were included. KEGG and GO pathway enrichment analysis revealed over-representation of dysregulated miRNAs in various biological processes especially in cancer pathology. Hsa-miR-34b played a pivotal role in this network and interacted with other miRNAs. Hsa-miR-136 and hsa-miR-335 were associated with p53 and Erk1/2 pathways and tumor suppressors, such as PTEN. CONCLUSIONS: The results from this research provide insights on miRNA-mRNA networks and offer new tools for studying transcriptional variants in familial ovarian cancer.


Subject(s)
Biomarkers, Tumor/genetics , Lymphocytes/metabolism , MicroRNAs/genetics , Neoplasms, Glandular and Epithelial/epidemiology , Neoplasms, Glandular and Epithelial/genetics , Ovarian Neoplasms/epidemiology , Ovarian Neoplasms/genetics , RNA, Messenger/genetics , Adult , Aged , Aged, 80 and over , Biomarkers, Tumor/blood , Carcinoma, Ovarian Epithelial , China/epidemiology , Female , Genetic Association Studies , Genetic Markers/genetics , Genetic Predisposition to Disease/epidemiology , Genetic Predisposition to Disease/genetics , Humans , MicroRNAs/blood , Middle Aged , Neoplasms, Glandular and Epithelial/diagnosis , Ovarian Neoplasms/diagnosis , Prevalence , RNA, Messenger/blood , Reproducibility of Results , Risk Factors , Sensitivity and Specificity , Young Adult
5.
Sci Rep ; 6: 26691, 2016 06 08.
Article in English | MEDLINE | ID: mdl-27270953

ABSTRACT

Stathmin 1 (STMN1) is a biomarker in several types of neoplasms. It plays an important role in cell cycle progression, mitosis, signal transduction and cell migration. In ovaries, STMN1 is predominantly expressed in granulosa cells (GCs). However, little is known about the role of STMN1 in ovary. In this study, we demonstrated that STMN1 is overexpressed in GCs in patients with polycystic ovary syndrome (PCOS). In mouse primary GCs, the overexpression of STMN1 stimulated progesterone production, whereas knockdown of STMN1 decreased progesterone production. We also found that STMN1 positively regulates the expression of Star (steroidogenic acute regulatory protein) and Cyp11a1 (cytochrome P450 family 11 subfamily A member 1). Promoter and ChIP assays indicated that STMN1 increased the transcriptional activity of Star and Cyp11a1 by binding to their promoter regions. The data suggest that STMN1 mediates the progesterone production by modulating the promoter activity of Star and Cyp11a1. Together, our findings provide novel insights into the molecular mechanisms of STMN1 in ovary GC steroidogenesis. A better understanding of this potential interaction between STMN1 and Star in progesterone biosynthesis in GCs will facilitate the discovery of new therapeutic targets in PCOS.


Subject(s)
Granulosa Cells/metabolism , Phosphoproteins/biosynthesis , Progesterone/biosynthesis , Stathmin/metabolism , Up-Regulation , Animals , Cholesterol Side-Chain Cleavage Enzyme/metabolism , Female , Granulosa Cells/pathology , Humans , Macaca mulatta , Mice , Polycystic Ovary Syndrome/metabolism , Polycystic Ovary Syndrome/pathology
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