Development of Biomarkers for Monitoring Menopause in Women

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

RECRUITING

Total Enrollment

100 participants

Study Classification

OBSERVATIONAL

Study Start Date

2024-07-30

Study Completion Date

2026-08-31

Brief Summary

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This cross-sectional study aims to develop and validate mitochondrial biomarkers for monitoring menopause in women. The study will involve 100 participants divided into three groups: reproductive period, perimenopausal transition period, and postmenopausal period. Peripheral blood samples will be collected, and mitochondrial quality and quantity will be assessed using both qualitative and quantitative analyses. The study will identify potential biomarkers through metabolomics and validate them for monitoring the perimenopausal transition, providing a novel approach for women's health management during menopause.

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Detailed Description

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Background： Gender equality and equitable health have emerged as international trends in recent years. Despite existing solutions for women's health issues, many needs remain unmet. According to projections, the global menopausal population is expected to reach 1.2 billion by 2030, surpassing the prevalence of the most common chronic diseases. Presently, solutions exist for common menopausal symptoms such as hot flashes, night sweats, fatigue, irritability, and urinary incontinence. However, unresolved challenges encompass psychological changes and monitoring systems. Therefore, this project aims to develop biomarkers for menopause in women as a future monitoring system.

Most women enter menopause between the ages of 48 and 52. During this period, ovarian follicles cease activity, leading to the one-year period following the appearance of significant menstrual irregularities, known as the menopausal transition or perimenopause (1). As ovarian function gradually declines and estrogen secretion diminishes, various systemic changes occur, resulting in several menopause-related conditions such as osteoporosis, cardiovascular diseases, and urinary system issues. The decline in estrogen triggers a negative feedback loop, causing an increase in follicle-stimulating hormone (FSH) secretion and a reduction in E2 (17β-estradiol) production (2). Currently, menopausal hormone therapy (MHT) using estrogen can alleviate menopausal symptoms and restore overall E2 levels but doesn't lower FSH to premenopausal levels (3-4). However, a precise biomarker for monitoring menopause has not yet been established. Under estrogen deficiency, mitochondrial morphology and function may be compromised, while estrogen presence relates to reduced oxidative reactions, enhanced respiratory function, and stable membrane properties (5). This project aims to provide a comprehensive view through metabolomics to identify biomarkers within mitochondria that can be used for menopause monitoring.

Study Design： This study is a cross-sectional study. A total of 100 women will be included and grouped into three categories: 25 cases of reproductive period, 50 cases of perimenopausal transition period, and 25 cases of postmenopausal period. The peripheral blood will be collected. Following mitochondrial extraction, both qualitative and quantitative analyses are conducted. High-confidence protein markers are identified as candidate molecules using combined data from RNA-seq and LC/MS/MS. These candidate markers will undergo further validation testing.

Methods： After Ficoll separation, peripheral blood will be divided into mononuclear cells, plasma, and red blood cells. Further extraction of mitochondria will be carried out from both mononuclear cells and plasma. Quantitative experiments involve hippocampal measurements of metabolic energy and JC-1 assessment of mitochondrial health, while mitochondrial DNA copy number will be evaluated using digital PCR. Qualitative experimental analysis employs Western blotting to assess markers such as cytochrome c and HSP60 for mitochondria and PCNA for nuclear proteins. Candidate biomarker validation experiments use combined data from RNA-seq and LC/MS/MS to identify high-confidence protein markers as candidates, which are further validated for feasibility using the ELISA method.

Effect：

1. Understand the changes in mitochondrial quality and quantity during the perimenopausal transition in women.
2. Develop monitoring indicators for the perimenopausal transition in women.

Conditions

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Perimenopausal Biomarkers Mitochondrial Biomarkers

Study Design

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Observational Model Type

COHORT

Study Time Perspective

CROSS_SECTIONAL

* Biological female, age order than 20 years old.

Exclusion Criteria

* Person with cancer.
* Person with any known acute or chronic infection.
* Person with known chronic illness under follow up or treatment.
* Pregnancy, one year withing delivery, under breast feeding, or three months within breast feeding.
* Under any female horemone therapy.

Minimum Eligible Age

20 Years

Eligible Sex

FEMALE

Accepts Healthy Volunteers

Yes