Project description:Gut microbial profiling of uterine fibroids (UFs) patients comparing control subjects. The gut microbiota was examined by 16S rRNA quantitative arrays and bioinformatics analysis. The goal was to reveal alterations in the gut microbiome of uterine fibroids patients.
Project description:Our study represents a new strategy for identifying drivers and risk factors of uterine fibroids (F) by identifying genes and pathways differentially regulated in myometrial stem cells (SCs) isolated from myometrium without fibroids (MyoN) and from myometrium adjacent to uterine fibroids (MyoF) using RNA-seq approach. Moreover, we will perform the comparison analysis of the transcriptome between MyoF SCs and fibroid SCs to identify differentially expressed genes.
Project description:Uterine fibroids are benign myometrial smooth muscle tumors of unknown etiology that when symptomatic are the most common indication for hysterectomy in the USA. We conducted an integrated analysis of fibroids and adjacent normal myometria by whole exome sequencing, DNA methylation (Human Methylation EPIC) array, and RNA-sequencing. Unsupervised clustering by DNA methylation segregated normal myometria and fibroids, and further separated the fibroids into subtypes marked by MED12 mutation, HMGA2 activation (HMGA2hi) and HMGA1 activation (HMGA1hi). Upregulation of HMGA2 expression in HMGA2hi fibroids did not always appear to be dependent on translocation, as has been historically described, and was associated with hypomethylation in the HMGA2 gene body. Furthermore, we found that expression of HOXA13 was highly upregulated in fibroids and that overexpression of HOXA13 in a myometrial cell line induced expression of genes classically associated with uterine fibroids. Transcriptome analyses of the most differentially expressed genes between cervix and myometrium also showed that uterine fibroids and normal cervix clustered together and apart from normal myometria. Together, our integrated analysis shows a role for epigenetic modification in fibroid biology and strongly suggests that homeotic transformation of myometrium cells to a more cervical phenotype is important for the etiology of the disease.
Project description:12q14~15 chromosomal rearrangements, specifically affecting the HMGA2 gene locus, are frequently observed in human uterine fibroids. Those fibroids are observed to show fast growth to a larger size compared to fibroids of normal karyotype. Since the HMGA2 gene is overexpressed, this study provides further insights in the development of uterine fibroids.
Project description:Uterine fibroids are benign myometrial smooth muscle tumors of unknown etiology that when symptomatic are the most common indication for hysterectomy in the USA. We conducted an integrated analysis of fibroids and adjacent normal myometria by whole exome sequencing, DNA methylation (Human Methylation EPIC) array, and RNA-sequencing. Unsupervised clustering by DNA methylation segregated normal myometria and fibroids, and further separated the fibroids into subtypes marked by MED12 mutation, HMGA2 activation (HMGA2hi) and HMGA1 activation (HMGA1hi). Upregulation of HMGA2 expression in HMGA2hi fibroids did not always appear to be dependent on translocation, as has been historically described, and was associated with hypomethylation in the HMGA2 gene body. Furthermore, we found that expression of HOXA13 was highly upregulated in fibroids and that overexpression of HOXA13 in a myometrial cell line induced expression of genes classically associated with uterine fibroids. Transcriptome analyses of the most differentially expressed genes between cervix and myometrium also showed that uterine fibroids and normal cervix clustered together and apart from normal myometria. Together, our integrated analysis shows a role for epigenetic modification in fibroid biology and strongly suggests that homeotic transformation of myometrium cells to a more cervical phenotype is important for the etiology of the disease.
Project description:We performed a cross-sectional analysis to identify correlates of urinary concentrations of seven phenols (bisphenols A, F, and S; 2,4-dichlorophenol; 2,5-dichlorophenol; benzophenone-3; triclosan), triclocarban, and four parabens (butyl, ethyl, methyl, and propyl). We analyzed baseline data from 766 participants in the Study of Environment, Lifestyle, and Fibroids, a prospective cohort study of 1693 Black women aged 23-34 years residing in Detroit, Michigan (2010-2012). We collected data on demographic, behavioral, and anthropometric factors via telephone interviews, clinic visits, and self-administered questionnaires. For each biomarker, we used linear regression models to estimate mean differences in log-transformed, creatinine-corrected concentrations across factors of interest. Each biomarker was detected in >50% of participants. Median creatinine-corrected concentrations were the highest for methyl paraben (116.8??g/g creatinine), propyl paraben (16.8??g/g creatinine), and benzophenone-3 (13.4??g/g creatinine). Variables most strongly associated with biomarker concentrations included season of urine collection, education, and body mass index (BMI). BMI was positively associated with bisphenol A and S and triclocarban concentrations and inversely associated with butyl and methyl paraben concentrations. In this cohort of Black women, exposure to phenols, parabens, and triclocarban was prevalent and several factors were associated with biomarker concentrations.