An Intricate relationship between Microbes and Metabolites leads of Novel PCOS Biomarkers

Background: Globally 14% of women are affected and 70% of women remain undiagnosed with Polycystic Ovarian Syndrome (PCOS). This is an Etiopathogenesis which attributes of hormonal imbalance, genetic predisposition, and chronic inflammations. Challenges: The patients are asymptomatic until the severity increases, this could occur due to varied symptoms among PCOS patients. Long-term exposure to ovarian cysts could lead to hypertension, hyperinsulinemia, high cholesterol, cardiovascular disease, infertility, and endometrial cancer. Objectives: 16sr.RNA amplicon-sequenced data was analysed for identify the microorganisms prevailing the vaginal region which also alters the metabolites in the system that causes PCOS. To identify novel biomarkers. Results: Thus, omics box analysis assisted to identify the healthy microbes which include Lactobacillus sp in symbiosis with Bifidobacterium . While Streptococcus, Porphymorsus, Fusobacterium, Gardenella, Prevoletta, Suterella and Clostridium which affects the hormonal level and certain metabolites which adversely affect the healthy environment. Conclusion: The metabolites such as DHEA, Salicylic acid and Cortisol can be reported as novel biomarkers.