Spots Global Cancer Trial Database for Multi-omics Analysis of Women With PCOS and Obesity Compared With Non-PCOS Obese Controls

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Trial Identification

Brief Title: Multi-omics Analysis of Women With PCOS and Obesity Compared With Non-PCOS Obese Controls

Official Title: Multi-omics Analysis of Women With PCOS and Obesity Compared With Non-PCOS Obese Controls

Study ID: NCT05468476

Conditions

Polycystic Ovary Syndrome

Interventions

No intervention

Study Description

Brief Summary: Polycystic ovary syndrome (PCOS) is a common endocrine and metabolic disorder in reproductive-aged women， which associated with increased risks to develop metabolic disorders, including cardiovascular diseases, diabetes mellitus, and cerebrovascular diseases. The precise pathogenesis of PCOS remains unknown but is thought to be multifactorial, comprising genetic and environmental factors .

Detailed Description: To study the pathogenesis of diseases, the study of multi-omics approach has been applied in various diseases researching . Obesity and PCOS are both metabolic disorders, and both have an impact on metagenomics, metabolomics and transcriptome. Currently, multi-omics studies based on obese PCOS are still limited. Therefore, this study tried to use a multi-omics approach that integrates the gut microbiome, serum metabolomics, serum transcriptomics, and clinical indicators to distinguish obese PCOS from obese non-PCOS women. To investigate whether the specific composition of the gut microbiome is associated with PCOS in obese women. Serum metabolomics and transcriptomics were analyzed to explore potential metabolic pathways. Meanwhile, gut microbiome and serum metabolomics are used to predict the occurrence of PCOS. Then, a new metabolite that could predict PCOS were tested on female mice with high fat diet (HFD).