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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

Article Type:
Research Article
Collections:
Metabolic Syndrome and Diabetes
DOI:
https://doi.org/10.1530/EC-24-0052
Volume/Issue:
Volume 13: Issue 7
Open access
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

Article Type:
Research Article
DOI:
https://doi.org/10.1530/EC-18-0513
Volume/Issue:
Volume 8: Issue 1
Open access
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

Article Type:
Research Article
DOI:
https://doi.org/10.1530/EC-15-0094
Volume/Issue:
Volume 5: Issue 1
Open access
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

Article Type:
Research Article
DOI:
https://doi.org/10.1530/EC-21-0433
Volume/Issue:
Volume 10: Issue 11
Open access
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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clustered using the RDP classifier ( http://rdp.cme.msu.edu/ ) and compared with Silva database (SSU128/16s bacteria) at 70% comparison threshold. Bioinformatics analysis Silva database was selected for comparison with threshold of 70% to obtain the

Article Type:
Research Article
DOI:
https://doi.org/10.1530/EC-19-0522
Volume/Issue:
Volume 9: Issue 1
Open access
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

Article Type:
Research Article
DOI:
https://doi.org/10.1530/EC-19-0001
Volume/Issue:
Volume 8: Issue 7
Open access
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

Article Type:
Research Article
Collections:
Metabolic Syndrome and Diabetes
DOI:
https://doi.org/10.1530/EC-23-0078
Volume/Issue:
Volume 12: Issue 9
Open access
Qian Wang Department of Thyroid and Neck Surgery, Beijing Chaoyang Hospital, Capital Medical University, Beijing, China

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Jiacheng Wang Department of Thyroid and Neck Surgery, Beijing Chaoyang Hospital, Capital Medical University, Beijing, China

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Yunhui Xin Department of Thyroid and Neck Surgery, Beijing Chaoyang Hospital, Capital Medical University, Beijing, China

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Ziyang He Department of Thyroid and Neck Surgery, Beijing Chaoyang Hospital, Capital Medical University, Beijing, China

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Xiang Zhou Department of Pathology, Beijing Chaoyang Hospital, Capital Medical University, Beijing, China

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Xing Liu Department of Thyroid and Neck Surgery, Beijing Chaoyang Hospital, Capital Medical University, Beijing, China

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Teng Zhao Department of Thyroid and Neck Surgery, Beijing Chaoyang Hospital, Capital Medical University, Beijing, China

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Lihan He Department of Thyroid and Neck Surgery, Beijing Chaoyang Hospital, Capital Medical University, Beijing, China

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Hong Shen Department of Thyroid and Neck Surgery, Beijing Chaoyang Hospital, Capital Medical University, Beijing, China

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Mulan Jin Department of Pathology, Beijing Chaoyang Hospital, Capital Medical University, Beijing, China

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Bojun Wei Department of Thyroid and Neck Surgery, Beijing Chaoyang Hospital, Capital Medical University, Beijing, China

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were evaluated by a Nanodrop 2000 (Wilmington, DE, USA), and RNA integrity was assessed by native agarose gel electrophoresis by inspecting the 28S and 18S rRNA bands. High-throughput circular RNA sequencing After removal of rRNA and

Article Type:
Research Article
Collections:
Bone and Mineral Metabolism
DOI:
https://doi.org/10.1530/EC-21-0605
Volume/Issue:
Volume 11: Issue 2
Open access
Sandrine Visentin Department of Pediatric Hematology and Oncology, AP-HM, Timone Enfants Hospital, Marseille, France
Aix Marseille University, INSERM, INRA, C2VN, Marseille, France

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Gérard Michel Department of Pediatric Hematology and Oncology, AP-HM, Timone Enfants Hospital, Marseille, France
Research Unit EA 3279 and Department of Public Health, Aix-Marseille University, Marseille, France

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Claire Oudin Department of Pediatric Hematology and Oncology, AP-HM, Timone Enfants Hospital, Marseille, France
Research Unit EA 3279 and Department of Public Health, Aix-Marseille University, Marseille, France

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Béatrice Cousin STROMALab, Université de Toulouse, CNRS ERL5311, EFS, INP-ENVT, INSERM U1031, UPS, Toulouse, France

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Bénédicte Gaborit Aix Marseille University, INSERM, INRA, C2VN, Marseille, France

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Inès Abdesselam Aix Marseille University, INSERM, INRA, C2VN, Marseille, France

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Marie Maraninchi Aix Marseille University, INSERM, INRA, C2VN, Marseille, France

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Marion Nowicki Aix Marseille University, INSERM, INRA, C2VN, Marseille, France

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René Valéro Aix Marseille University, INSERM, INRA, C2VN, Marseille, France
Nutrition, Metabolic Diseases and Endocrinology Department, AP-HM, La Conception Hospital, Marseille, France

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Maxime Guye AP-HM, Timone, CEMEREM, Marseille, France

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Monique Bernard AP-HM, Timone, CEMEREM, Marseille, France
Aix-Marseille University, CNRS, CRMBM, Marseille, France

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Pascal Auquier Research Unit EA 3279 and Department of Public Health, Aix-Marseille University, Marseille, France

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Hervé Chambost Department of Pediatric Hematology and Oncology, AP-HM, Timone Enfants Hospital, Marseille, France

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Marie-Christine Alessi Aix Marseille University, INSERM, INRA, C2VN, Marseille, France

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Sophie Béliard Aix Marseille University, INSERM, INRA, C2VN, Marseille, France
Nutrition, Metabolic Diseases and Endocrinology Department, AP-HM, La Conception Hospital, Marseille, France

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. We used 18S rRNA as a normalization control. Gene expression changes were evaluated using the LIVAK method ( 26 ). Primer designs can be provided on request. For the differentiation markers in culture, real-time PCR assays were run on a StepOne

Article Type:
Research Article
DOI:
https://doi.org/10.1530/EC-18-0497
Volume/Issue:
Volume 8: Issue 4
Open access
Esben Thyssen Vestergaard Medical Research Laboratories, Department of Endocrinology and Diabetes, Department of Pediatrics, Department of Endocrinology and Diabetes, Institute of Clinical Medicine, Aarhus University, Norrebrogade 44, DK-8000 Aarhus C, Denmark
Medical Research Laboratories, Department of Endocrinology and Diabetes, Department of Pediatrics, Department of Endocrinology and Diabetes, Institute of Clinical Medicine, Aarhus University, Norrebrogade 44, DK-8000 Aarhus C, Denmark
Medical Research Laboratories, Department of Endocrinology and Diabetes, Department of Pediatrics, Department of Endocrinology and Diabetes, Institute of Clinical Medicine, Aarhus University, Norrebrogade 44, DK-8000 Aarhus C, Denmark

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Morten B Krag Medical Research Laboratories, Department of Endocrinology and Diabetes, Department of Pediatrics, Department of Endocrinology and Diabetes, Institute of Clinical Medicine, Aarhus University, Norrebrogade 44, DK-8000 Aarhus C, Denmark

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Morten M Poulsen Medical Research Laboratories, Department of Endocrinology and Diabetes, Department of Pediatrics, Department of Endocrinology and Diabetes, Institute of Clinical Medicine, Aarhus University, Norrebrogade 44, DK-8000 Aarhus C, Denmark

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Steen B Pedersen Medical Research Laboratories, Department of Endocrinology and Diabetes, Department of Pediatrics, Department of Endocrinology and Diabetes, Institute of Clinical Medicine, Aarhus University, Norrebrogade 44, DK-8000 Aarhus C, Denmark

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Niels Moller Medical Research Laboratories, Department of Endocrinology and Diabetes, Department of Pediatrics, Department of Endocrinology and Diabetes, Institute of Clinical Medicine, Aarhus University, Norrebrogade 44, DK-8000 Aarhus C, Denmark
Medical Research Laboratories, Department of Endocrinology and Diabetes, Department of Pediatrics, Department of Endocrinology and Diabetes, Institute of Clinical Medicine, Aarhus University, Norrebrogade 44, DK-8000 Aarhus C, Denmark

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Jens Otto Lunde Jorgensen Medical Research Laboratories, Department of Endocrinology and Diabetes, Department of Pediatrics, Department of Endocrinology and Diabetes, Institute of Clinical Medicine, Aarhus University, Norrebrogade 44, DK-8000 Aarhus C, Denmark
Medical Research Laboratories, Department of Endocrinology and Diabetes, Department of Pediatrics, Department of Endocrinology and Diabetes, Institute of Clinical Medicine, Aarhus University, Norrebrogade 44, DK-8000 Aarhus C, Denmark

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Niels Jessen Medical Research Laboratories, Department of Endocrinology and Diabetes, Department of Pediatrics, Department of Endocrinology and Diabetes, Institute of Clinical Medicine, Aarhus University, Norrebrogade 44, DK-8000 Aarhus C, Denmark
Medical Research Laboratories, Department of Endocrinology and Diabetes, Department of Pediatrics, Department of Endocrinology and Diabetes, Institute of Clinical Medicine, Aarhus University, Norrebrogade 44, DK-8000 Aarhus C, Denmark

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inspection of the two rRNAs, 18S and 28S , on an agarose gel. cDNA was synthesized with the Verso cDNA kit AB 1453 (Thermo Fisher Scientific, Inc.) using random hexamers. Real-time PCR for target gene was done with β2-microglobulin levels as internal

Article Type:
Research Article
DOI:
https://doi.org/10.1530/EC-13-0019
Volume/Issue:
Volume 2: Issue 2
Open access