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Lilit Egshatyan ‘Research of Age and Age-Associated Conditions’ Department, Laboratory of Bioinformatics, The ‘Russian Clinical Research Center for Gerontology’, ‘Chronic Noncommunicable Diseases Primary Prevention in the Healthcare System’ Department, Moscow Institute of Physics and Technology, National Research Centre for Preventive Medicine, National Research Centre for Preventive Medicine, Building 10, Petroverigskiy Lane, Moscow RF 101000, Russian Federation

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Daria Kashtanova ‘Research of Age and Age-Associated Conditions’ Department, Laboratory of Bioinformatics, The ‘Russian Clinical Research Center for Gerontology’, ‘Chronic Noncommunicable Diseases Primary Prevention in the Healthcare System’ Department, Moscow Institute of Physics and Technology, National Research Centre for Preventive Medicine, National Research Centre for Preventive Medicine, Building 10, Petroverigskiy Lane, Moscow RF 101000, Russian Federation

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Anna Popenko ‘Research of Age and Age-Associated Conditions’ Department, Laboratory of Bioinformatics, The ‘Russian Clinical Research Center for Gerontology’, ‘Chronic Noncommunicable Diseases Primary Prevention in the Healthcare System’ Department, Moscow Institute of Physics and Technology, National Research Centre for Preventive Medicine, National Research Centre for Preventive Medicine, Building 10, Petroverigskiy Lane, Moscow RF 101000, Russian Federation

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Olga Tkacheva ‘Research of Age and Age-Associated Conditions’ Department, Laboratory of Bioinformatics, The ‘Russian Clinical Research Center for Gerontology’, ‘Chronic Noncommunicable Diseases Primary Prevention in the Healthcare System’ Department, Moscow Institute of Physics and Technology, National Research Centre for Preventive Medicine, National Research Centre for Preventive Medicine, Building 10, Petroverigskiy Lane, Moscow RF 101000, Russian Federation

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Alexander Tyakht ‘Research of Age and Age-Associated Conditions’ Department, Laboratory of Bioinformatics, The ‘Russian Clinical Research Center for Gerontology’, ‘Chronic Noncommunicable Diseases Primary Prevention in the Healthcare System’ Department, Moscow Institute of Physics and Technology, National Research Centre for Preventive Medicine, National Research Centre for Preventive Medicine, Building 10, Petroverigskiy Lane, Moscow RF 101000, Russian Federation

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Dmitry Alexeev ‘Research of Age and Age-Associated Conditions’ Department, Laboratory of Bioinformatics, The ‘Russian Clinical Research Center for Gerontology’, ‘Chronic Noncommunicable Diseases Primary Prevention in the Healthcare System’ Department, Moscow Institute of Physics and Technology, National Research Centre for Preventive Medicine, National Research Centre for Preventive Medicine, Building 10, Petroverigskiy Lane, Moscow RF 101000, Russian Federation

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Natalia Karamnova ‘Research of Age and Age-Associated Conditions’ Department, Laboratory of Bioinformatics, The ‘Russian Clinical Research Center for Gerontology’, ‘Chronic Noncommunicable Diseases Primary Prevention in the Healthcare System’ Department, Moscow Institute of Physics and Technology, National Research Centre for Preventive Medicine, National Research Centre for Preventive Medicine, Building 10, Petroverigskiy Lane, Moscow RF 101000, Russian Federation

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Elena Kostryukova ‘Research of Age and Age-Associated Conditions’ Department, Laboratory of Bioinformatics, The ‘Russian Clinical Research Center for Gerontology’, ‘Chronic Noncommunicable Diseases Primary Prevention in the Healthcare System’ Department, Moscow Institute of Physics and Technology, National Research Centre for Preventive Medicine, National Research Centre for Preventive Medicine, Building 10, Petroverigskiy Lane, Moscow RF 101000, Russian Federation
‘Research of Age and Age-Associated Conditions’ Department, Laboratory of Bioinformatics, The ‘Russian Clinical Research Center for Gerontology’, ‘Chronic Noncommunicable Diseases Primary Prevention in the Healthcare System’ Department, Moscow Institute of Physics and Technology, National Research Centre for Preventive Medicine, National Research Centre for Preventive Medicine, Building 10, Petroverigskiy Lane, Moscow RF 101000, Russian Federation
‘Research of Age and Age-Associated Conditions’ Department, Laboratory of Bioinformatics, The ‘Russian Clinical Research Center for Gerontology’, ‘Chronic Noncommunicable Diseases Primary Prevention in the Healthcare System’ Department, Moscow Institute of Physics and Technology, National Research Centre for Preventive Medicine, National Research Centre for Preventive Medicine, Building 10, Petroverigskiy Lane, Moscow RF 101000, Russian Federation

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Vladislav Babenko ‘Research of Age and Age-Associated Conditions’ Department, Laboratory of Bioinformatics, The ‘Russian Clinical Research Center for Gerontology’, ‘Chronic Noncommunicable Diseases Primary Prevention in the Healthcare System’ Department, Moscow Institute of Physics and Technology, National Research Centre for Preventive Medicine, National Research Centre for Preventive Medicine, Building 10, Petroverigskiy Lane, Moscow RF 101000, Russian Federation

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Maria Vakhitova ‘Research of Age and Age-Associated Conditions’ Department, Laboratory of Bioinformatics, The ‘Russian Clinical Research Center for Gerontology’, ‘Chronic Noncommunicable Diseases Primary Prevention in the Healthcare System’ Department, Moscow Institute of Physics and Technology, National Research Centre for Preventive Medicine, National Research Centre for Preventive Medicine, Building 10, Petroverigskiy Lane, Moscow RF 101000, Russian Federation

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Sergey Boytsov ‘Research of Age and Age-Associated Conditions’ Department, Laboratory of Bioinformatics, The ‘Russian Clinical Research Center for Gerontology’, ‘Chronic Noncommunicable Diseases Primary Prevention in the Healthcare System’ Department, Moscow Institute of Physics and Technology, National Research Centre for Preventive Medicine, National Research Centre for Preventive Medicine, Building 10, Petroverigskiy Lane, Moscow RF 101000, Russian Federation

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then thawed; the DNA was extracted from each sample; sequencing of the variable V3–V4 16S rRNA gene regions was performed (after the total DNA isolation and library preparation) by using an MiSeq Reagent Kit v2 (300 cycles) and MiSDefault (Illumina, San

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Niels B Dalsgaard Center for Clinical Metabolic Research, Gentofte Hospital, University of Copenhagen, Hellerup, Denmark

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Lærke S Gasbjerg Center for Clinical Metabolic Research, Gentofte Hospital, University of Copenhagen, Hellerup, Denmark
Department of Biomedical Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark

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Laura S Hansen Center for Clinical Metabolic Research, Gentofte Hospital, University of Copenhagen, Hellerup, Denmark

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Dennis S Nielsen Department of Food Science, Faculty of Science, University of Copenhagen, Copenhagen, Denmark

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Torben S Rasmussen Department of Food Science, Faculty of Science, University of Copenhagen, Copenhagen, Denmark

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Filip K Knop Center for Clinical Metabolic Research, Gentofte Hospital, University of Copenhagen, Hellerup, Denmark
Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
Steno Diabetes Center Copenhagen, Gentofte, Denmark

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course with the alpha-glucosidase inhibitor, acarbose, on GM profiles (evaluated by 16S rRNA gene-based high-throughput sequencing) in Caucasian individuals with metformin-treated T2D. Materials and methods Ethics and study approvals This

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Emmi Naskali Department of Dermatology, Allergology and Venereology, University of Helsinki, and Helsinki University Central Hospital, Helsinki, Finland

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Katja Dettmer Institute of Functional Genomics, University of Regensburg, Regensburg, Germany

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Peter J Oefner Institute of Functional Genomics, University of Regensburg, Regensburg, Germany

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Pedro A B Pereira Institute of Biotechnology, DNA Sequencing and Genomics Laboratory, University of Helsinki, Helsinki, Finland

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Kai Krohn Clinical Research Institute HUCH Ltd, Biomedicum Helsinki 1, Helsinki, Finland

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Petri Auvinen Institute of Biotechnology, DNA Sequencing and Genomics Laboratory, University of Helsinki, Helsinki, Finland

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Annamari Ranki Department of Dermatology, Allergology and Venereology, University of Helsinki, and Helsinki University Central Hospital, Helsinki, Finland

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Nicolas Kluger Department of Dermatology, Allergology and Venereology, University of Helsinki, and Helsinki University Central Hospital, Helsinki, Finland

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), anthranilic acid (AA), 3-hydroxyanthranilic acid (HAA), 5-hydroxyindole-3-acetic acid (HIAA), indole-3-lactic acid (ILA), indole-3-acetic acid (IAA) and indole-3-propionic acid (IPA). Gut microbiome Stool specimens for 16S rRNA-based gut microbiome

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Yao Su Department of Obstetrics and Gynecology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China

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Li Chen Department of Obstetrics and Gynecology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China

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Dong-Yao Zhang Department of Obstetrics and Gynecology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China

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Xu-Pei Gan Department of Obstetrics and Gynecology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China

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Yan-Nan Cao Department of Obstetrics and Gynecology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China

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De-Cui Cheng Department of Obstetrics and Gynecology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China

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Wen-Yu Liu Department of Obstetrics and Gynecology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China

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Fei-Fei Li Department of Obstetrics and Gynecology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China

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Xian-Ming Xu Department of Obstetrics and Gynecology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China

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Hong-Kun Wang Department of Obstetrics and Gynecology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China

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extraction kit, and the quality of the extracted DNA was detected using a Qubit dsDNA HS Assay Kit (Carlsbad, CA, USA). After eliminating the samples that did not meet the test standard, the V3–V4 variable region of the 16S rRNA was specifically amplified by

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Ling Zhou Department of Gynecology of Traditional Chinese Medicine, Changhai Hospital, Naval Medical University, Shanghai, China

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Zhexin Ni Department of Gynecology of Traditional Chinese Medicine, Changhai Hospital, Naval Medical University, Shanghai, China

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Wen Cheng Department of Gynecology of Traditional Chinese Medicine, Changhai Hospital, Naval Medical University, Shanghai, China

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Jin Yu Department of Gynecology of Traditional Chinese Medicine, Changhai Hospital, Naval Medical University, Shanghai, China

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Shuai Sun Department of Gynecology of Traditional Chinese Medicine, Changhai Hospital, Naval Medical University, Shanghai, China

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Dongxia Zhai Department of Gynecology of Traditional Chinese Medicine, Changhai Hospital, Naval Medical University, Shanghai, China

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Chaoqin Yu Department of Gynecology of Traditional Chinese Medicine, Changhai Hospital, Naval Medical University, Shanghai, China

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Zailong Cai Department of Biochemistry and Molecular Biology, Naval Medical University, Shanghai, China

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Polycystic ovary syndrome (PCOS) is a chronic endocrine and metabolic disease. Gut microbiota is closely related to many chronic diseases. In this study, we conducted a cross-sectional study and recruited 30 obese (OG) and 30 non-obese (NG) women with PCOS, 30 healthy women (NC) and 11 healthy but obese women (OC) as controls to investigate the characteristic gut microbiota and its metabolic functions in obese and non-obese patients with PCOS. The blood and non-menstrual faecal samples of all the participants were collected and analysed. As a result, the Hirsutism score, LH/FSH and serum T level in NG and OG both increased significantly compared with their controls (P < 0.05). High-throughput 16S rRNA gene sequencing revealed that the abundance and diversity of the gut microbiota changed in patients with PCOS. The linear discriminant analysis (LDA) indicated that Lactococcus was the characteristic gut microbiota in NG, while Coprococcus_2 in OG. Correlation heatmap analysis revealed that the sex hormones and insulin levels in human serum were closely related to the changes in the gut microbiota of NG and OG. Functional prediction analysis demonstrated that the citrate cycle pathway enriched both in NG and OG, and other 12 gut bacterial metabolic pathways enriched in NG. This study highlighted significant differences in the gut microbiota and predictive functions of obese and non-obese women with PCOS, thereby providing insights into the role and function of the gut microbiota that may contribute to the occurrence and development of PCOS in obese and non-obese women.

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Mengxue Yang Department of Endocrinology, The Fifth People’s Hospital of Shanghai, Fudan University, Shanghai, China
Department of Endocrinology, Zunyi Medical University, Zunyi, China

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Bowen Sun Department of Endocrinology, Zunyi Medical University, Zunyi, China

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Jianhui Li Department of Endocrinology, Ningbo No. 2 Hospital, Ningbo, China

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Bo Yang Department of Endocrinology, Zunyi Medical University, Zunyi, China

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Jie Xu School of Public Health, Zunyi Medical University, Zunyi, China

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Xue Zhou Department of Endocrinology, Zunyi Medical University, Zunyi, China

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Jie Yu School of Public Health, Zunyi Medical University, Zunyi, China

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Xuan Zhang Department of Endocrinology, Zunyi Medical University, Zunyi, China

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Qun Zhang Department of Endocrinology, Ningbo No. 2 Hospital, Ningbo, China

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Shan Zhou Department of Endocrinology, Ningbo No. 2 Hospital, Ningbo, China

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Xiaohua Sun Department of Endocrinology, Ningbo No. 2 Hospital, Ningbo, China

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targets, and sample-specific barcode sequences were used for PCR amplification of the variable regions of the 16S rRNA gene (Q5 HiFi DNA polymerase; NEB, Ipswich, MA, USA). The amplification products were subjected to 2% agarose gel electrophoresis, and

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Ying Pei Research Centre of Basic Integrative Medicine, School of Basic Medical Sciences, Guangzhou University of Chinese Medicine, Guangzhou, China

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Rui Wang School of Pharmaceutical Sciences, Guangzhou University of Chinese Medicine, Guangzhou, China

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Wanyu Chen Research Centre of Basic Integrative Medicine, School of Basic Medical Sciences, Guangzhou University of Chinese Medicine, Guangzhou, China

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Shulin Yi Research Centre of Basic Integrative Medicine, School of Basic Medical Sciences, Guangzhou University of Chinese Medicine, Guangzhou, China

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Chen Huang Research Centre of Basic Integrative Medicine, School of Basic Medical Sciences, Guangzhou University of Chinese Medicine, Guangzhou, China

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Shaochan Liang School of Pharmaceutical Sciences, Guangzhou University of Chinese Medicine, Guangzhou, China

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Hongying Cao School of Pharmaceutical Sciences, Guangzhou University of Chinese Medicine, Guangzhou, China

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Yifei Xu Shenzhen Traditional Chinese Medicine Hospital, The Fourth Clinical Medical College of Guangzhou University of Chinese Medicine, Shenzhen, China

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Bo Tan Research Centre of Basic Integrative Medicine, School of Basic Medical Sciences, Guangzhou University of Chinese Medicine, Guangzhou, China

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.01 vs NFD group. # P < 0.05, ## P < 0.01 vs HGD group. Effects of HGD on the gut microbiota The composition of the gut microbiota was analyzed by bacterial 16S rRNA sequencing of the intestinal feces. After dereplication of unqualified

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