Alterations of bacteriome, mycobiome and metabolome characteristics in PCOS patients with normal/overweight individuals
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 sa...
| Main Authors: | , , , , , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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BMC
2022-10-01
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| Series: | Journal of Ovarian Research |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s13048-022-01051-8 |
| _version_ | 1828076182932815872 |
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| author | Guoshu Yin Fu Chen Guishan Chen Xiaoping Yang Qingxia Huang Lan Chen Minjie Chen Weichun Zhang Miaoqiong Ou Man Cao Hong Lin Man Chen Hongzhi Xu Jianlin Ren Yongsong Chen Zhangran Chen |
| author_facet | Guoshu Yin Fu Chen Guishan Chen Xiaoping Yang Qingxia Huang Lan Chen Minjie Chen Weichun Zhang Miaoqiong Ou Man Cao Hong Lin Man Chen Hongzhi Xu Jianlin Ren Yongsong Chen Zhangran Chen |
| author_sort | Guoshu Yin |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-04-11T02:10:55Z |
| format | Article |
| id | doaj.art-aab3cb9a2a7e4702bf4ae657cf2f1631 |
| institution | Directory Open Access Journal |
| issn | 1757-2215 |
| language | English |
| last_indexed | 2024-04-11T02:10:55Z |
| publishDate | 2022-10-01 |
| publisher | BMC |
| record_format | Article |
| series | Journal of Ovarian Research |
| spelling | doaj.art-aab3cb9a2a7e4702bf4ae657cf2f16312023-01-03T02:08:58ZengBMCJournal of Ovarian Research1757-22152022-10-0115111510.1186/s13048-022-01051-8Alterations of bacteriome, mycobiome and metabolome characteristics in PCOS patients with normal/overweight individualsGuoshu Yin0Fu Chen1Guishan Chen2Xiaoping Yang3Qingxia Huang4Lan Chen5Minjie Chen6Weichun Zhang7Miaoqiong Ou8Man Cao9Hong Lin10Man Chen11Hongzhi Xu12Jianlin Ren13Yongsong Chen14Zhangran Chen15Department of Endocrinology, the First Affiliated Hospital of Shantou University Medical CollegeDepartment of Clinical Nutrition, the First Affiliated Hospital of Shantou University Medical CollegeDepartment of Endocrinology, the First Affiliated Hospital of Shantou University Medical CollegeDepartment of Endocrinology, the First Affiliated Hospital of Shantou University Medical CollegeDepartment of Endocrinology, the First Affiliated Hospital of Shantou University Medical CollegeDepartment of Endocrinology, the First Affiliated Hospital of Shantou University Medical CollegeDepartment of Endocrinology, Chaoyang Dafeng HospitalDepartment of Endocrinology, the First Affiliated Hospital of Shantou University Medical CollegeDepartment of Clinical Nutrition, the First Affiliated Hospital of Shantou University Medical CollegeDepartment of Mathematics and Numerical Simulation and High-Performance Computing Laboratory, School of Sciences, Nanchang UniversityDepartment of Reproductive Center, the First Affiliated Hospital of Shantou University Medical CollegeDepartment of Reproductive Center, the First Affiliated Hospital of Shantou University Medical CollegeInstitute for Microbial Ecology, School of Medicine, Xiamen UniversityInstitute for Microbial Ecology, School of Medicine, Xiamen UniversityDepartment of Endocrinology, the First Affiliated Hospital of Shantou University Medical CollegeInstitute for Microbial Ecology, School of Medicine, Xiamen UniversityAbstract 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. https://doi.org/10.1186/s13048-022-01051-8PCOSMycobiomeDiagnostic modelMetabolomeObesity |
| spellingShingle | Guoshu Yin Fu Chen Guishan Chen Xiaoping Yang Qingxia Huang Lan Chen Minjie Chen Weichun Zhang Miaoqiong Ou Man Cao Hong Lin Man Chen Hongzhi Xu Jianlin Ren Yongsong Chen Zhangran Chen Alterations of bacteriome, mycobiome and metabolome characteristics in PCOS patients with normal/overweight individuals Journal of Ovarian Research PCOS Mycobiome Diagnostic model Metabolome Obesity |
| title | Alterations of bacteriome, mycobiome and metabolome characteristics in PCOS patients with normal/overweight individuals |
| title_full | Alterations of bacteriome, mycobiome and metabolome characteristics in PCOS patients with normal/overweight individuals |
| title_fullStr | Alterations of bacteriome, mycobiome and metabolome characteristics in PCOS patients with normal/overweight individuals |
| title_full_unstemmed | Alterations of bacteriome, mycobiome and metabolome characteristics in PCOS patients with normal/overweight individuals |
| title_short | Alterations of bacteriome, mycobiome and metabolome characteristics in PCOS patients with normal/overweight individuals |
| title_sort | alterations of bacteriome mycobiome and metabolome characteristics in pcos patients with normal overweight individuals |
| topic | PCOS Mycobiome Diagnostic model Metabolome Obesity |
| url | https://doi.org/10.1186/s13048-022-01051-8 |
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