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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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development of metabolic disease with positive effects on body weight, food intake, glucose homeostasis, and insulin sensitivity ( 12 ); perhaps due to a modulating effect on gut microbiome (GM) composition ( 13 ). Thus, one could speculate that acarbose

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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symptoms in 29% of Finnish APECED patients ( 13 ). Besides, alteration of gut microbiome composition has been shown to be associated with various diseases such as mental depression and autoimmune diseases ( 14 ). It has become evident that gut microbes

Article Type:
Research Article
DOI:
https://doi.org/10.1530/EC-18-0513
Volume/Issue:
Volume 8: Issue 1
Open access
Cecília Cristelo i3S – Instituto de Investigação e Inovação em Saúde, Universidade do Porto, Porto, Portugal
CEB – Centro de Engenharia Biológica, Universidade do Minho, Braga, Portugal

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Alexandra Machado CEB – Centro de Engenharia Biológica, Universidade do Minho, Braga, Portugal

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Bruno Sarmento i3S – Instituto de Investigação e Inovação em Saúde, Universidade do Porto, Porto, Portugal
CESPU, Instituto de Investigação e Formação Avançada em Ciências e Tecnologias da Saúde & Instituto Universitário de Ciências da Saúde, Gandra, Portugal

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Francisco Miguel Gama CEB – Centro de Engenharia Biológica, Universidade do Minho, Braga, Portugal

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microbiome and immune-regulation of the pancreatic immune environment ( Fig. 4 ). Figure 4 Model summarising the role of cathelicidin in the interplay between the pancreas and the gut. Short-chain fatty acids (SCFA) are produced by the gut microbiome

Article Type:
Review Article
DOI:
https://doi.org/10.1530/EC-20-0484
Volume/Issue:
Volume 10: Issue 1
Open access
Ruixin Hu School of pharmacy, Qing Dao University, Qingdao, China

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Yanting Yuan School of pharmacy, Qing Dao University, Qingdao, China

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Chaolong Liu School of pharmacy, Qing Dao University, Qingdao, China

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Ji Zhou School of pharmacy, Qing Dao University, Qingdao, China

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Lixia Ji School of pharmacy, Qing Dao University, Qingdao, China

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Guohui Jiang School of pharmacy, Qing Dao University, Qingdao, China

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://doi.org/10.1128/AEM.01357-14 ) 16 Zhang W Xu JH Yu T Chen QK Effects of berberine and metformin on intestinal inflammation and gut microbiome composition in db/db mice . Biomedicine and Pharmacotherapy 2019 118 109131 . ( https://doi.org/10

Article Type:
Review Article
DOI:
https://doi.org/10.1530/EC-20-0431
Volume/Issue:
Volume 10: 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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Turnbaugh PJ Ridaura VK Faith JJ Rey FE Knight R Gordon1 JI . The effect of diet on the human gut microbiome: a metagenomic analysis in humanized gnotobiotic mice . Science Translational Medicine 2009 1 6ra14 . ( doi:10.1126/scitranslmed

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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the four groups in the total number of OTUs (see Table 3 ). Table 3 The α diversity and OTUs of gut microbiome in four groups. Pre-BMI <24 kg/m 2 Pre-BMI ≥24 kg/m 2 T value or Zvalue Non-GDM ( n  = 71) GDM ( n  = 27

Article Type:
Research Article
DOI:
https://doi.org/10.1530/EC-21-0433
Volume/Issue:
Volume 10: Issue 11
Open access
Angelica Amorim Amato Department of Pharmaceutical Sciences, University of Brasilia, Brasilia, Brazil
Department of Developmental and Cell Biology, University of California, Irvine, California, USA

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Hailey Brit Wheeler Department of Developmental and Cell Biology, University of California, Irvine, California, USA

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Bruce Blumberg Department of Developmental and Cell Biology, University of California, Irvine, California, USA
Department of Pharmaceutical Sciences, University of California, Irvine, California, USA
Department of Biomedical Engineering, University of California, Irvine, California, USA

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, 17 ). These include stress ( 18 ), disrupted circadian rhythms ( 19 ), the composition of the gut microbiome (bacterial diversity, balance of bacterial types and the particular species found) ( 20 , 21 ), air pollution from proximity to highways ( 22

Article Type:
Review Article
DOI:
https://doi.org/10.1530/EC-20-0578
Volume/Issue:
Volume 10: Issue 2
Open access
Patricia Iozzo Institute of Clinical Physiology, National Research Council (CNR), Pisa, Italy

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Maria Angela Guzzardi Institute of Clinical Physiology, National Research Council (CNR), Pisa, Italy

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Cantarel BL Duncan A Ley RE Sogin ML Jones WJ Roe BA Affourtit JP , et al . A core gut microbiome in obese and lean twins . Nature 2009 480 – 484 . ( https://doi.org/10.1038/nature07540 ) 103 Castaner O Goday A Park YM Lee SH

Article Type:
Review Article
DOI:
https://doi.org/10.1530/EC-19-0348
Volume/Issue:
Volume 8: Issue 11
Open access
Aaron Lerner B. Rappaport School of Medicine, Technion-Israel Institute of Technology, Haifa, Israel
AESKU.KIPP Institute, Wendelsheim, Germany

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Patricia Jeremias AESKU.KIPP Institute, Wendelsheim, Germany

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Torsten Matthias AESKU.KIPP Institute, Wendelsheim, Germany

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hormonal release. One of the major metabolic products of the gut microbiome is short-chain fatty acids resulting in numerous luminal and systemic functions ( 15 ) affecting leptin, glucagon-like peptide 1, ghrelin and peptide YY and productions. The bug’s β

Article Type:
Review Article
DOI:
https://doi.org/10.1530/EC-17-0021
Volume/Issue:
Volume 6: Issue 4
Open access
Yinqiong Huang Department of Endocrinology, the Second Affiliated Hospital of Fujian Medical University, Quanzhou, China

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Zhaozhao Zhu Department of Endocrinology, the Second Affiliated Hospital of Fujian Medical University, Quanzhou, China
Department of Endocrinology, Quanzhou First Hospital Affiliated to Fujian Medical University, Quanzhou, China

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Zhiqin Huang Department of Endocrinology, the Second Affiliated Hospital of Fujian Medical University, Quanzhou, China

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Jingxiong Zhou Department of Endocrinology, the Second Affiliated Hospital of Fujian Medical University, Quanzhou, China

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in the number of bacteria that metabolize choline and carnitine and produce TMA in the gut microbiome of T2DM patients with combined chronic kidney disease ( 14 ). It has also been suggested that it may be related to increased FMO enzyme-mediated TMAO

Article Type:
Research Article
Collections:
Metabolic Syndrome and Diabetes
DOI:
https://doi.org/10.1530/EC-22-0542
Volume/Issue:
Volume 12: Issue 8
Open access