Reproductive Endocrinology Oxford Study (RepOx)
试验速览
- 阶段
- 不适用
- 状态
- 招募中
- 入组人数
- 1,175
- 试验地点
- 1
- 主要终点
- Identify the underlying genetic and pathophysiological mechanisms of PCOS and associated phenotypes
研究概览
简要总结
This is a prospective observational study that aims to identify the underlying mechanisms of PolyCystic Ovarian Syndrome (PCOS) and associated comorbidities such as subfertility, miscarriage; and pregnancy complications such as gestational diabetes mellitus and Intrahepatic cholestasis of pregnancy (ICP). This will be achieved through cross-sectional observation and laboratory analyses.
详细描述
Here we propose a comprehensive program to dissect the underlying disease-causing mechanisms of PCOS and associated comorbidities. We will investigate how the different layers of biological information (ranging from DNA variant genotyping, to RNA sequencing and proteomics), and clinical characteristics are correlated with each other and how this affects PCOS in fat tissue derived cells, as well as ovarian tissue and tissue derived cells by using a combination of big data analysis, a range of "-omics" technologies, of both in-house generated and publicly available data, paired with state of the art statistical and bioinformatics analysis. Out of these mechanisms and pathways we will identify druggable targets for proposals for detailed functional follow up with an aim of development of novel therapeutic options for PCOS.
研究设计
- 研究类型
- Observational
- 观察模型
- Cohort
- 时间视角
- Cross Sectional
入排标准
- 年龄范围
- 16 Years 至 45 Years（Child, Adult）
- 性别
- Female
- 接受健康志愿者
- 否
入选标准
- •● General Criteria for all groups
- •Participant is willing and able to give informed consent for participation in the study.
- •Female, aged between 16 and 45 years of age. As IVF is not undertaken in women less that 18 years, this group will between 18 and 45 years o
- •● PCOS (Group 1, 2 and 3)
- •Currently under investigation for or having diagnosis of PCOS having displayed one or more of the following: Hyperandrogenism, Ovulation Dysfunction and Polycystic ovaries on ultrasound (known as the Rotterdam criteria)
- •● PCOS Controls (Group 4 and 5)
- •Patients under gynaecological investigation or having assisted reproduction
- •Exhibit no features of PCOS
- •● Miscarriage Group (Group 6)
- •Have had at least two previous miscarriages
- •Recruited at any time after their second menstrual cycle following a miscarriage
- •● Miscarriage Controls (Group 7)
- •Patients will have had zero or no more than one miscarriage and having fertility investigations.
- •● Pregnant GDM (Group 8)
- •Pregnant women at least 28 weeks gestation with :
- •A fasting plasma glucose of 5.1mmol/L or above or
- •A 1 hr plasma glucose of 10mmol/L or
- •A 2-hr plasma glucose level of 8.5mmol/L or above
- •● Pregnant ICP (Group 9)
- •Women at least 28 weeks gestation with :
- •Raised ALT or raised bile acids in the context of pruritus with no rash
- •ALT (>32iu/l) and bile acids (>14micromol/l) Pregnant Control (Group 10)
- •Pregnant women at least 28 weeks gestation with no diagnosis of GDM or ICP
排除标准
- •For all groups - The participant may not enter the study if ANY of the following apply.
- •Unable to read, or to understand written or spoken English
- •Currently involved in any Clinical Trial of an Investigational Medicinal Product (CTIMP)
- •Undergoing surgery because of a possible cancer diagnosis
- •Diagnosis of other androgen excess disorders such as Congenital Adrenal Hyperplasia (CAH), Androgen Secreting tumours, Cushing syndrome, or Hyperprolactinemia
结局指标
主要结局
Identify the underlying genetic and pathophysiological mechanisms of PCOS and associated phenotypes
时间窗: one visit
Questionnaire data, imaging analysis, medical records and sample analysis
次要结局
- To identify novel biomarkers of PCOS and associated comorbidities.(one visit)
- To identify clinical subgroups of PCOS and associated comorbidities.(one visit)
- To understand the genetics underlying these conditions and explore the relevant downstream molecular pathways(one visit)
- To identify novel drug targets, develop models of disease progression and prediction.(one visit)