Alterations of bacteriome, mycobiome and metabolome characteristics in PCOS patients with normal/overweight individuals

• Ngā kaituhi matua: Guoshu Yin (Author), Fu Chen (Author), Guishan Chen (Author), Xiaoping Yang (Author), Qingxia Huang (Author), Lan Chen (Author), Minjie Chen (Author), Weichun Zhang (Author), Miaoqiong Ou (Author), Man Cao (Author), Hong Lin (Author), Man Chen (Author), Hongzhi Xu (Author), Jianlin Ren (Author), Yongsong Chen (Author), Zhangran Chen (Author)
• Hōputu: Pukapuka
• I whakaputaina: BMC, 2022-10-01T00:00:00Z.
• Ngā marau: article
• Urunga tuihono: Connect to this object online.
• Notes: 10.1186/s13048-022-01051-8; 1757-2215
• Keywords: PCOS; Mycobiome; Diagnostic model; Metabolome; Obesity; Gynecology and obstetrics; RG1-991
• Source: Journal of Ovarian Research, Vol 15, Iss 1, Pp 1-15 (2022)

Abstract To characterize the gut bacteriome, mycobiome and serum metabolome profiles in polycystic ovary syndrome (PCOS) patients with normal/overweight individuals and evaluate a potential microbiota-related diagnostic method development for PCOS, 16S rRNA and ITS2 gene sequencing using 88 fecal samples and 87 metabolome analysis from serum samples are conducted and PCOS classifiers based on multiomics markers are constructed. There are significant bacterial, fungal community and metabolite differences among PCOS patients and healthy volunteers with normal/overweight individuals. Healthy individuals with overweight/obesity display less abnormal metabolism than PCOS patients and uniquely higher abundance of the fungal genus Mortierella. Nine bacterial genera, 4 predicted pathways, 11 fungal genera and top 30 metabolites are screened out which distinguish PCOS from healthy controls, with AUCs of 0.84, 0.64, 0.85 and 1, respectively. The metabolite-derived model is more accurate than the microbe-based model in discriminating normal BMI PCOS (PCOS-LB) from normal BMI healthy (Healthy-LB), PCOS-HB from Healthy-HB. Featured bacteria, fungi, predicted pathways and serum metabolites display higher associations with free androgen index (FAI) in the cooccurrence network. In conclusion, our data reveal that hyperandrogenemia plays a central role in the dysbiosis of intestinal microecology and the change in metabolic status in patients with PCOS and that its effect exceeds the role of BMI. Healthy women with high BMI showed unique microbiota and metabolic features.The priority of predictive models in discriminating PCOS from healthy status in this study were serum metabolites, fungal taxa and bacterial taxa.