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

Abstract

Abstract 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 Clostridiumwhich 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.