115 results on '"Vieira-Silva S"'
Search Results
2. Multiomics Analyses to Deliver the Most Effective Treatment to Every Patient With Inflammatory Bowel Disease
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Weersma, R.K., Barrett, J.C., Vermeire, S., Xavier, R.J., Anderson, C.A., Wijmenga, C., Daly, M.J., Alm, E.J., Raes, J., Huttenhower, C., Stappenbeck, T., Netea, M., Kaser, A., Franke, A., McGovern, D.P., Colombel, J.F., van den Brink, G.R., Uhlig, H.H., Georges, M., Lees, C.W., Parkes, M., Giallourakis, C., Hart, A., Rioux, J.D., Sokol, H., Hurtado-Lorenzo, A., Yeretssian, G., Markus- de Kwaadsteniet, M.L., Festen, E.A., Rahmouni, S., Vieira-Silva, S., McIntyre, R.E., Moutsianas, L., Weersma, Rinse K., Xavier, Ramnik J., Vermeire, Severine, and Barrett, Jeffrey C.
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- 2018
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3. Oral dydrogesterone versus micronized vaginal progesterone for luteal phase support: a double-blind crossover study investigating pharmacokinetics and impact on the endometrium.
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Loreti, S, Thiele, K, Brucker, M De, Olsen, C, Centelles-Lodeiro, J, Bourgain, C, Waelput, W, Tournaye, H, Griesinger, G, Raes, J, Vieira-Silva, S, Arck, P, Blockeel, C, and Mackens, S
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LUTEAL phase ,OVUM donation ,INDUCED ovulation ,INTRACYTOPLASMIC sperm injection ,GENITALIA ,CLOMIPHENE - Abstract
STUDY QUESTION How do plasma progesterone (P) and dydrogesterone (D) concentrations together with endometrial histology, transcriptomic signatures, and immune cell composition differ when oral dydrogesterone (O-DYD) or micronized vaginal progesterone (MVP) is used for luteal phase support (LPS)? SUMMARY ANSWER Although after O-DYD intake, even at steady-state, plasma D and 20αdihydrodydrogesterone (DHD) concentrations spiked in comparison to P concentrations, a similar endometrial signature was observed by histological and transcriptomic analysis of the endometrium. WHAT IS KNOWN ALREADY O-DYD for LPS has been proven to be noninferior compared to MVP in two phase III randomized controlled trials. Additionally, a combined individual participant data and aggregate data meta-analysis indicated that a higher pregnancy rate and live birth rate may be obtained in women receiving O-DYD versus MVP for LPS in fresh IVF/ICSI cycles. Little data are available on the pharmacokinetic (PK) profiles of O-DYD versus MVP and their potential molecular differences at the level of the reproductive organs, particularly at the endometrial level. STUDY DESIGN, SIZE, DURATION Thirty oocyte donors were planned to undergo two ovarian stimulation (OS) cycles with dual triggering (1.000 IU hCG + 0.2 mg triptorelin), each followed by 1 week of LPS: O-DYD or MVP, in a randomized, cross-over, double-blind, double-dummy fashion. On both the first and eighth days of LPS, serial blood samples upon first dosing were harvested for plasma D, DHD, and P concentration analyses. On Day 8 of LPS, an endometrial biopsy was collected for histologic examination, transcriptomics, and immune cell analysis. PARTICIPANTS/MATERIALS, SETTING, METHODS All oocyte donors were <35 years old, had regular menstrual cycles, no intrauterine contraceptive device, anti-Müllerian hormone within normal range and a BMI ≤29 kg/m
2 . OS was performed on a GnRH antagonist protocol followed by dual triggering (1.000 IU hCG + 0.2 mg triptorelin) as soon as ≥3 follicles of 20 mm were present. Following oocyte retrieval, subjects initiated LPS consisting of MVP 200 mg or O-DYD 10 mg, both three times daily. D, DHD, and P plasma levels were measured using liquid chromatography–tandem mass spectrometry. Histological assessment was carried out using the Noyes criteria. Endometrial RNA-sequencing was performed for individual biopsies and differential gene expression was analyzed. Endometrial single-cell suspensions were created followed by flow cytometry for immune cell typing. MAIN RESULTS AND THE ROLE OF CHANCE A total of 21 women completed the entire study protocol. Subjects and stimulation characteristics were found to be similar between groups. Following the first dose of O-DYD, the average observed maximal plasma concentrations (Cmax ) for D and DHD were 2.9 and 77 ng/ml, respectively. The Cmax for D and DHD was reached after 1.5 and 1.6 h (= Tmax ), respectively. On the eighth day of LPS, the first administration of that day gave rise to a Cmax of 3.6 and 88 ng/ml for D and DHD, respectively. For both, the observed Tmax was 1.5 h. Following the first dose of MVP, the Cmax for P was 16 ng/ml with a Tmax of 4.2 h. On the eighth day of LPS, the first administration of that day showed a Cmax for P of 21 ng/ml with a Tmax of 7.3 h. All 42 biopsies showed endometrium in the secretory phase. The mean cycle day was 23.9 (±1.2) in the O-DYD group versus 24.0 (±1.3) in the MVP group. RNA-sequencing did not reveal significantly differentially expressed genes between samples of both study groups. The average Euclidean distance between samples following O-DYD was significantly lower than following MVP (respectively 12.1 versus 18.8, Mann–Whitney P = 6.98e−14 ). Immune cell profiling showed a decrease of CD3 T-cell, γδ T-cell, and B-cell frequencies after MVP treatment compared to O-DYD, while the frequency of natural killer (NK) cells was significantly increased. LIMITATIONS, REASONS FOR CAUTION The main reason for caution is the small sample size, given the basic research nature of the project. The plasma concentrations are best estimates as this was not a formal PK study. Whole tissue bulk RNA-sequencing has been performed not correcting for bias caused by different tissue compositions across biopsies. WIDER IMPLICATIONS OF THE FINDINGS This is the first study comparing O-DYD/MVP, head-to-head, in a randomized design on a molecular level in IVF/ICSI. Plasma serum concentrations suggest that administration frequency is important, in addition to dose, specifically for O-DYD showing a rapid clearance. The molecular endometrial data are overall comparable and thus support the previously reported noninferior reproductive outcomes for O-DYD as compared to MVP. Further research is needed to explore the smaller intersample distance following O-DYD and the subtle changes detected in endometrial immune cells. STUDY FUNDING/COMPETING INTEREST(S) Not related to this work, C.Bl. has received honoraria for lectures, presentations, manuscript writing, educational events, or scientific advice from Abbott, Ferring, Organon, Cooper Surgical, Gedeon-Richter, IBSA, and Merck. H.T. has received honoraria for lectures, presentations, manuscript writing, educational events, or scientific advice from Abbott, Ferring, Cooper Surgical, Gedeon-Richter, Cook, and Goodlife. S.M. has received honoraria for lectures, presentations, educational events, or scientific advice from Abbott, Cooper Surgical, Gedeon-Richter, IBSA, and Merck and Oxolife. G.G. has received honoraria for lectures, presentations, educational events, or scientific advice from Merck, MSD, Organon, Ferring, Theramex, Gedeon-Richter, Abbott, Biosilu, ReprodWissen, Obseva, PregLem, Guerbet, Cooper, Igyxos, and OxoLife. S.V.-S. is listed as inventor on two patents (WO2019115755A1 and WO2022073973A1), which are not related to this work. TRIAL REGISTRATION NUMBER EUDRACT 2018-000105-23 [ABSTRACT FROM AUTHOR]- Published
- 2024
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4. Effect Of Food Intake On Gastrointestinal Transit, Pressure And Ph In Normal-Weight And Obesity
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Steenackers, N., primary, Wauters, L., additional, Van der Schueren, B., additional, Augustijns, P., additional, Falony, G., additional, Koziolek, M., additional, Lannoo, M., additional, Mertens, A., additional, Meulemans, A., additional, Raes, J., additional, Vangoitsenhoven, R., additional, Vieira-Silva, S., additional, Weitschies, W., additional, Vanuytsel, T., additional, and Matthys, C., additional
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- 2023
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5. P921 FMT in UC is associated with a decrease in Bacteroides-2 enterotype and response with baseline RNA and microbiota signatures
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Deleu, S, primary, Caenepeel, C, additional, Verstockt, S, additional, Vazquez Castellanos, J F, additional, Arnauts, K, additional, Braekeleire, S, additional, Machiels, K, additional, Baert, F, additional, Mana, F, additional, Pouillon, L, additional, Hindryckx, P, additional, Lobaton Ortega, T, additional, Louis, E, additional, Franchimont, D, additional, Verstockt, B, additional, Ferrante, M, additional, Sabino, J, additional, Vieira-Silva, S, additional, Falony, G, additional, Raes, J, additional, and Vermeire, S, additional
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- 2023
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6. DOP53 Community types of the human gut virome are associated with endoscopic outcome in UC patients
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Jansen, D, primary, Falony, G, additional, Vieira-Silva, S, additional, Simsek, C, additional, Marcelis, T, additional, Machiels, K, additional, Caenepeel, C, additional, Raes, J, additional, Severine, V, additional, and Matthijnssens, J, additional
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- 2023
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7. Structure and function of the global ocean microbiome
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Tara Oceans Coordinators, Sunagawa, S., Coelho, L. P., Chaffron, S., Kultima, J. R., Labadie, K., Salazar, G., Djahanschiri, B., Zeller, G., Mende, D. R., Alberti, A., Cornejo-Castillo, F. M., Costea, P. I., Cruaud, C., d'Ovidio, F., Engelen, S., Ferrera, I., Gasol, J. M., Guidi, L., Hildebrand, F., Kokoszka, F., Lepoivre, C., Lima-Mendez, G., Poulain, J., Poulos, B. T., Royo-Llonch, M., Sarmento, H., Vieira-Silva, S., Dimier, C., Picheral, M., Searson, S., Kandels-Lewis, S., Bowler, C., de Vargas, C., Gorsky, G., Grimsley, N., Hingamp, P., Iudicone, D., Jaillon, O., Not, F., Ogata, H., Pesant, S., Speich, S., Stemmann, L., Sullivan, M. B., Weissenbach, J., Wincker, P., Karsenti, E., Raes, J., Acinas, S. G., and Bork, P.
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- 2015
8. O-254 Oral dydrogesterone (OD) versus micronized vaginal progesterone (MVP) for luteal phase support (LPS): impact on endometrium and genital tract microbiota
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Mackens, S, primary, Olsen, C, additional, Centelles-Lodeiro, J, additional, Illingworth, K, additional, Brucker, M. De, additional, Boudry, L, additional, Tournaye, H, additional, Raes, J, additional, Vieira-Silva, S, additional, and Blockeel, C, additional
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- 2022
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9. P774 Metagenomics and metabolomics of patients with inflammatory bowel disease and their unaffected relatives
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Vancamelbeke, M., Sabino, J., Deroover, L., Vandermeulen, G., Luypaerts, A., Ferrante, M., Falony, G., Vieira-Silva, S., Verbeke, K., Raes, J., Cleynen, I., and Vermeire, S.
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- 2017
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10. P767 The FIT trial: anti-inflammatory dietary intervention effects on the intestinal microbiota
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Sabino, J., Vieira-Silva, S., Machiels, K., Joossens, M., Falony, G., Ferrante, M., Van Assche, G., Van Der Merwe, S., Matthys, C., Raes, J., and Vermeire, S.
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- 2017
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11. P776 Dysbiosis in Nlrp6/Asc-deficient mice does not result from inflammasome deficiency
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Mamantopoulos, M., Ronchi, F., Van Hauwermeiren, F., Vieira-Silva, S., Yilmaz, B., Martens, L., Saeys, Y., Drexler, S., Yazdi, A., Raes, J., Lamkanfi, M., McCoy, K., and Wullaert, A.
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- 2017
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12. Combinatorial, additive and dose-dependent drug-microbiome associations
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Forslund, SK, Chakaroun, R, Zimmermann-Kogadeeva, M, Markó, L, Aron-Wisnewsky, J, Nielsen, T, Moitinho-Silva, L, Schmidt, TSB, Falony, G, Vieira-Silva, S, Adriouch, S, Alves, RJ, Assmann, K, Bastard, J-P, Birkner, T, Caesar, R, Chilloux, J, Coelho, LP, Fezeu, L, Galleron, N, Helft, G, Isnard, R, Ji, B, Kuhn, M, Le Chatelier, E, Myridakis, A, Olsson, L, Pons, N, Prifti, E, Quinquis, B, Roume, H, Salem, J-E, Sokolovska, N, Tremaroli, V, Valles-Colomer, M, Lewinter, C, Søndertoft, NB, Pedersen, HK, Hansen, TH, Amouyal, C, Andersson Galijatovic, EA, Andreelli, F, Barthelemy, O, Batisse, J-P, Belda, E, Berland, M, Bittar, R, Blottière, H, Bosquet, F, Boubrit, R, Bourron, O, Camus, M, Cassuto, D, Ciangura, C, Collet, J-P, Dao, M-C, Djebbar, M, Doré, A, Engelbrechtsen, L, Fellahi, S, Fromentin, S, Galan, P, Gauguier, D, Giral, P, Hartemann, A, Hartmann, B, Holst, JJ, Hornbak, M, Hoyles, L, Hulot, J-S, Jaqueminet, S, Jørgensen, NR, Julienne, H, Justesen, J, Kammer, J, Krarup, N, Kerneis, M, Khemis, J, Kozlowski, R, Lejard, V, Levenez, F, Lucas-Martini, L, Massey, R, Martinez-Gili, L, Maziers, N, Medina-Stamminger, J, Montalescot, G, Moute, S, Neves, AL, Olanipekun, M, Le Pavin, LP, Poitou, C, Pousset, F, Pouzoulet, L, Rodriguez-Martinez, A, Rouault, C, Silvain, J, Svendstrup, M, Swartz, T, Vanduyvenboden, T, Vatier, C, Walther, S, Gøtze, JP, Køber, L, Vestergaard, H, Hansen, T, Zucker, J-D, Hercberg, S, Oppert, J-M, Letunic, I, Nielsen, J, Bäckhed, F, Ehrlich, SD, Dumas, M-E, Raes, J, Pedersen, O, Clément, K, Stumvoll, M, Bork, P, The MetaCardis Consortium (Hoyles, L.), European Molecular Biology Laboratory [Heidelberg] (EMBL), Max Delbrück Center for Molecular Medicine [Berlin] (MDC), Helmholtz-Gemeinschaft = Helmholtz Association, Charité - UniversitätsMedizin = Charité - University Hospital [Berlin], Berlin Institute of Health (BIH), German Center for Cardiovascular Research (DZHK), Universität Leipzig, Nutrition et obésités: approches systémiques (UMR-S 1269) (Nutriomics), Institut National de la Santé et de la Recherche Médicale (INSERM)-Sorbonne Université (SU), CHU Pitié-Salpêtrière [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU), University of Copenhagen = Københavns Universitet (UCPH), University of New South Wales [Sydney] (UNSW), Paul Scherrer Institute (PSI), Catholic University of Leuven - Katholieke Universiteit Leuven (KU Leuven), Heidelberg University, Equipe 3: EREN- Equipe de Recherche en Epidémiologie Nutritionnelle (CRESS - U1153), Université Sorbonne Paris Nord-Centre de Recherche Épidémiologie et Statistique Sorbonne Paris Cité (CRESS (U1153 / UMR_A_1125 / UMR_S_1153)), Conservatoire National des Arts et Métiers [CNAM] (CNAM), HESAM Université - Communauté d'universités et d'établissements Hautes écoles Sorbonne Arts et métiers université (HESAM)-HESAM Université - Communauté d'universités et d'établissements Hautes écoles Sorbonne Arts et métiers université (HESAM)-Université Sorbonne Paris Cité (USPC)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Paris Cité (UPCité)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Conservatoire National des Arts et Métiers [CNAM] (CNAM), HESAM Université - Communauté d'universités et d'établissements Hautes écoles Sorbonne Arts et métiers université (HESAM)-HESAM Université - Communauté d'universités et d'établissements Hautes écoles Sorbonne Arts et métiers université (HESAM)-Université Sorbonne Paris Cité (USPC)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Paris Cité (UPCité)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Centre de Recherche Saint-Antoine (CRSA), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Sorbonne Université (SU), CHU Henri Mondor [Créteil], Unité de Recherche sur les Maladies Cardiovasculaires, du Métabolisme et de la Nutrition = Research Unit on Cardiovascular and Metabolic Diseases (ICAN), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Sorbonne Université (SU)-Institut de Cardiométabolisme et Nutrition = Institute of Cardiometabolism and Nutrition [CHU Pitié Salpêtrière] (IHU ICAN), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-CHU Pitié-Salpêtrière [AP-HP], University of Gothenburg (GU), Imperial College London, MetaGenoPolis (MGP (US 1367)), Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Université Paris-Saclay, Institut de cardiologie [CHU Pitié-Salpêtrière], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU), Chalmers University of Technology [Gothenburg, Sweden], Unité de modélisation mathématique et informatique des systèmes complexes [Bondy] (UMMISCO), Université de Yaoundé I-Institut de la francophonie pour l'informatique-Université Cheikh Anta Diop [Dakar, Sénégal] (UCAD)-Université Gaston Bergé (Saint-Louis, Sénégal)-Université Cadi Ayyad [Marrakech] (UCA)-Sorbonne Université (SU)-Institut de Recherche pour le Développement (IRD [France-Nord]), Centre d'investigation clinique Paris Est [CHU Pitié Salpêtrière] (CIC Paris-Est), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-CHU Pitié-Salpêtrière [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Sorbonne Université (SU), Centre de Recherche Épidémiologie et Statistique Sorbonne Paris Cité (CRESS (U1153 / UMR_A_1125 / UMR_S_1153)), Biobyte Solutions [Heidelberg, Germany] (BS), IT University of Copenhagen (ITU), Sahlgrenska University Hospital [Gothenburg], Metabolic functional (epi)genomics and molecular mechanisms involved in type 2 diabetes and related diseases - UMR 8199 - UMR 1283 (EGENODIA (GI3M)), Institut Pasteur de Lille, Réseau International des Instituts Pasteur (RIIP)-Réseau International des Instituts Pasteur (RIIP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Lille-Centre National de la Recherche Scientifique (CNRS), National Heart and Lung Institute [London] (NHLI), Imperial College London-Royal Brompton and Harefield NHS Foundation Trust, McGill University and Genome Quebec Innovation Centre, Helmholtz Institute Ulm (HIU), Helmholtz Zentrum München = German Research Center for Environmental Health, University of Würzburg = Universität Würzburg, Yonsei University, MetaCardis Consortium*: Chloe Amouyal, Ehm Astrid Andersson Galijatovic, Fabrizio Andreelli, Olivier Barthelemy, Jean-Paul Batisse, Eugeni Belda, Magalie Berland, Randa Bittar, Hervé Blottière, Frederic Bosquet, Rachid Boubrit, Olivier Bourron, Mickael Camus, Dominique Cassuto, Cecile Ciangura, Jean-Philippe Collet, Maria-Carlota Dao, Morad Djebbar, Angélique Doré, Line Engelbrechtsen, Soraya Fellahi, Sebastien Fromentin, Pilar Galan, Dominique Gauguier, Philippe Giral, Agnes Hartemann, Bolette Hartmann, Jens Juul Holst, Malene Hornbak, Lesley Hoyles, Jean-Sebastien Hulot, Sophie Jaqueminet, Niklas Rye Jørgensen, Hanna Julienne, Johanne Justesen, Judith Kammer, Nikolaj Krarup, Mathieu Kerneis, Jean Khemis, Ruby Kozlowski, Véronique Lejard, Florence Levenez, Lea Lucas-Martini, Robin Massey, Laura Martinez-Gili, Nicolas Maziers, Jonathan Medina-Stamminger, Gilles Montalescot, Sandrine Moute, Ana Luisa Neves, Michael Olanipekun, Laetitia Pasero Le Pavin, Christine Poitou, Francoise Pousset, Laurence Pouzoulet, Andrea Rodriguez-Martinez, Christine Rouault, Johanne Silvain, Mathilde Svendstrup, Timothy Swartz, Thierry Vanduyvenboden, Camille Vatier, Stefanie Walther., ANR-16-IDEX-0004,ULNE,ULNE(2016), ANR-18-IBHU-0001,PreciDIAB,PreciDIAB Institute, the holistic approach of personal diabets care(2018), Dumas, Marc-Emmanuel, Universität Leipzig [Leipzig], Service de Nutrition [CHU Pitié-Salpétrière], Institut E3M [CHU Pitié-Salpêtrière], CHU Henri Mondor, Centre d'investigation clinique pluridisciplinaire [CHU Pitié Salpêtrière] (CIC-1901(ex CIC-1421)), Institut National de la Santé et de la Recherche Médicale (INSERM)-CHU Pitié-Salpêtrière [AP-HP], Imperial College London - National Heart and Lung Institute, and Division of Computational and Systems Medicine, Imperial College London, London, SW7 2AZ, UK
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Clostridiales ,Science & Technology ,Multidisciplinary ,ANTIBIOTIC USE ,IMPACT ,Microbiota ,[SDV]Life Sciences [q-bio] ,HUMAN GUT MICROBIOME ,Atherosclerosis ,Gastrointestinal Microbiome ,[SDV] Life Sciences [q-bio] ,Multidisciplinary Sciences ,PROTON PUMP INHIBITORS ,Cardiovascular and Metabolic Diseases ,GUIDELINE ,Metabolome ,MANAGEMENT ,Humans ,Science & Technology - Other Topics ,ALTERS - Abstract
During the transition from a healthy state to cardiometabolic disease, patients become heavily medicated, which leads to an increasingly aberrant gut microbiome and serum metabolome, and complicates biomarker discovery1-5. Here, through integrated multi-omics analyses of 2,173 European residents from the MetaCardis cohort, we show that the explanatory power of drugs for the variability in both host and gut microbiome features exceeds that of disease. We quantify inferred effects of single medications, their combinations as well as additive effects, and show that the latter shift the metabolome and microbiome towards a healthier state, exemplified in synergistic reduction in serum atherogenic lipoproteins by statins combined with aspirin, or enrichment of intestinal Roseburia by diuretic agents combined with beta-blockers. Several antibiotics exhibit a quantitative relationship between the number of courses prescribed and progression towards a microbiome state that is associated with the severity of cardiometabolic disease. We also report a relationship between cardiometabolic drug dosage, improvement in clinical markers and microbiome composition, supporting direct drug effects. Taken together, our computational framework and resulting resources enable the disentanglement of the effects of drugs and disease on host and microbiome features in multimedicated individuals. Furthermore, the robust signatures identified using our framework provide new hypotheses for drug-host-microbiome interactions in cardiometabolic disease. ispartof: NATURE vol:600 issue:7889 pages:500-+ ispartof: location:England status: published
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- 2021
13. Successional Stages in Infant Gut Microbiota Maturation
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Chenyan Shi, Ward Deboutte, Leen Rymenans, Kwe Claude Yinda, Mireia Valles-Colomer, Karoline Faust, Vieira Silva S, Papadaki Mi, Van Espen L, Raul Y. Tito, Leen Beller, Jansen D, Jeroen Raes, Gwen Falony, Zeller M, Van Ranst M, and Jelle Matthijnssens
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Male ,DYNAMICS ,Population ,Zoology ,Gut flora ,digestive system ,Microbiology ,OXYGEN ,Cohort Studies ,Feces ,BUTYRATE ,INTESTINAL MICROBIOTA ,Virology ,medicine ,microbiota ,Humans ,Colonization ,Microbiome ,education ,Bifidobacterium ,education.field_of_study ,Science & Technology ,biology ,Bacteria ,primary succession ,digestive, oral, and skin physiology ,Infant, Newborn ,biology.organism_classification ,medicine.disease ,infant ,QR1-502 ,Gastrointestinal Microbiome ,Gastrointestinal Tract ,LIFE ,ACID ,Enterotype ,Female ,Bacteroides ,Dysbiosis ,Life Sciences & Biomedicine ,enterotypes ,Research Article - Abstract
Disturbances in the primary colonization of the infant gut can result in lifelong consequences and have been associated with a range of host conditions. Although early-life factors have been shown to affect infant gut microbiota development, our current understanding of human gut colonization in early life remains limited. To gain more insights into the unique dynamics of this rapidly evolving ecosystem, we investigated the microbiota over the first year of life in eight densely sampled infants (n = 303 total samples). To evaluate the gut microbiota maturation transition toward an adult configuration, we compared the microbiome composition of the infants to that of the Flemish Gut Flora Project (FGFP) population (n = 1,106). We observed the infant gut microbiota to mature through three distinct, conserved stages of ecosystem development. Across these successional gut microbiota maturation stages, the genus predominance was observed to shift from Escherichia over Bifidobacterium to Bacteroides. Both disease and antibiotic treatment were observed to be associated occasionally with gut microbiota maturation stage regression, a transient setback in microbiota maturation dynamics. Although the studied microbiota trajectories evolved to more adult-like constellations, microbiome community typing against the background of the FGFP cohort clustered all infant samples within the (in adults) potentially dysbiotic Bacteroides 2 (Bact2) enterotype. We confirmed the similarities between infant gut microbial colonization and adult dysbiosis. Profound knowledge about the primary gut colonization process in infants might provide crucial insights into how the secondary colonization of a dysbiotic adult gut can be redirected. IMPORTANCE After birth, microbial colonization of the infant intestinal tract is important for health later in life. However, this initial process is highly dynamic and influenced by many factors. Studying this process in detail requires a dense longitudinal sampling effort. In the current study, the bacterial microbiota of >300 stool samples was analyzed from 8 healthy infants, suggesting that the infant gut microbial population matures along a path involving distinct microbial constellations and that the timing of these transitions is infant specific and can temporarily retrace upon external events. We also showed that the infant microbial populations show similarities to suboptimal bacterial populations in the guts of adults. These insights are crucial for a better understanding of the dynamics and characteristics of a "healthy gut microbial population" in both infants and adults and might allow the identification of intervention targets in cases of microbial disturbances or disease. ispartof: mBio vol:12 issue:6 pages:e0185721- ispartof: location:United States status: published
- Published
- 2021
14. OP03 Standardized faecal microbiota transplantation with microbiome-guided donor selection in active UC patients: A randomized, placebo-controlled intervention study
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Caenepeel, C, primary, Deleu, S, additional, Arnauts, K, additional, Vazquez Castellanos, J F, additional, Braekeleire, S, additional, Machiels, K, additional, Baert, F, additional, Mana, F, additional, Pouillon, L, additional, Hindryckx, P, additional, Lobaton, T, additional, Louis, E, additional, Franchimont, D, additional, Ferrante, M, additional, Sabino, J, additional, Vieira-Silva, S, additional, Falony, G, additional, Raes, J, additional, and Vermeire, S, additional
- Published
- 2022
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15. Effect of obesity on gastrointestinal transit, pressure and pH using a wireless motility capsule
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Steenackers, N., primary, Wauters, L., additional, Van der Schueren, B., additional, Augustijns, P., additional, Falony, G., additional, Koziolek, M., additional, Lannoo, M., additional, Mertens, A., additional, Meulemans, A., additional, Raes, J., additional, Vangoitsenhoven, R., additional, Vieira-Silva, S., additional, Weitschies, W., additional, Matthys, C., additional, and Vanuytsel, T., additional
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- 2021
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16. Structure and function of the global ocean microbiome
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Sunagawa, S., Coelho, L. P., Chaffron, S., Kultima, J. R., Labadie, K., Salazar, G., Djahanschiri, B., Zeller, G., Mende, D. R., Alberti, A., Cornejo-Castillo, F. M., Costea, P. I., Cruaud, C., dʼOvidio, F., Engelen, S., Ferrera, I., Gasol, J. M., Guidi, L., Hildebrand, F., Kokoszka, F., Lepoivre, C., Lima-Mendez, G., Poulain, J., Poulos, B. T., Royo-Llonch, M., Sarmento, H., Vieira-Silva, S., Dimier, C., Picheral, M., Searson, S., Kandels-Lewis, S., Oceans Coordinators, Tara, Bowler, C., de Vargas, C., Gorsky, G., Grimsley, N., Hingamp, P., Iudicone, D., Jaillon, O., Not, F., Ogata, H., Pesant, S., Speich, S., Stemmann, L., Sullivan, M. B., Weissenbach, J., Wincker, P., Karsenti, E., Raes, J., Acinas, S. G., and Bork, P.
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- 2015
17. Large-scale association analyses identify host factors influencing human gut microbiome composition
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Kurilshikov, A., Medina-Gomez, C., Bacigalupe, R., Radjabzadeh, D., Wang, J, Demirkan, A., Roy, C.I. Le, Garay, J.A. Raygoza, Finnicum, C.T., Liu, X, Zhernakova, D.V., Bonder, M.J., Hansen, T.H., Frost, F., Rühlemann, M.C., Turpin, W., Moon, J.Y., Kim, H.N., Lüll, K., Barkan, E., Shah, S.A., Fornage, M., Szopinska-Tokov, J.W., Wallen, Z.D., Borisevich, D., Agreus, L., Andreasson, A., Bang, C., Bedrani, L., Bell, J.T., Bisgaard, H., Boehnke, M., Boomsma, D.I., Burk, R.D., Claringbould, A., Croitoru, K., Davies, G.E., Duijn, C.M. van, Duijts, L., Falony, G., Fu, J., Graaf, A. de, Hansen, T., Homuth, G., Hughes, D.A., Ijzerman, R.G., Jackson, M.A., Jaddoe, V.W.V., Joossens, M., Jørgensen, T., Keszthelyi, D., Knight, R., Laakso, M., Laudes, M., Launer, L.J., Lieb, W., Lusis, A.J., Masclee, A.A.M., Moll, H.A., Mujagic, Z., Qibin, Q., Rothschild, D., Shin, H., Sørensen, S.J., Steves, C.J., Thorsen, J., Timpson, N.J., Tito, R.Y., Vieira-Silva, S., Völker, U., Völzke, H., Võsa, U., Wade, K.H., Walter, S., Watanabe, K., Weiss, S., Weiss, F.U., Weissbrod, O., Westra, H.J., Willemsen, G., Payami, H., Jonkers, D., Arias Vasquez, A., Geus, E.J.C. de, Meyer, K.A., Stokholm, J., Segal, E., Org, E., Wijmenga, C., Kim, H.L., Kaplan, R.C., Spector, T.D., Uitterlinden, A.G., Rivadeneira, F., Franke, A., Lerch, M.M., Franke, L., Sanna, S., D'Amato, M., Pedersen, O., et al., Kurilshikov, A., Medina-Gomez, C., Bacigalupe, R., Radjabzadeh, D., Wang, J, Demirkan, A., Roy, C.I. Le, Garay, J.A. Raygoza, Finnicum, C.T., Liu, X, Zhernakova, D.V., Bonder, M.J., Hansen, T.H., Frost, F., Rühlemann, M.C., Turpin, W., Moon, J.Y., Kim, H.N., Lüll, K., Barkan, E., Shah, S.A., Fornage, M., Szopinska-Tokov, J.W., Wallen, Z.D., Borisevich, D., Agreus, L., Andreasson, A., Bang, C., Bedrani, L., Bell, J.T., Bisgaard, H., Boehnke, M., Boomsma, D.I., Burk, R.D., Claringbould, A., Croitoru, K., Davies, G.E., Duijn, C.M. van, Duijts, L., Falony, G., Fu, J., Graaf, A. de, Hansen, T., Homuth, G., Hughes, D.A., Ijzerman, R.G., Jackson, M.A., Jaddoe, V.W.V., Joossens, M., Jørgensen, T., Keszthelyi, D., Knight, R., Laakso, M., Laudes, M., Launer, L.J., Lieb, W., Lusis, A.J., Masclee, A.A.M., Moll, H.A., Mujagic, Z., Qibin, Q., Rothschild, D., Shin, H., Sørensen, S.J., Steves, C.J., Thorsen, J., Timpson, N.J., Tito, R.Y., Vieira-Silva, S., Völker, U., Völzke, H., Võsa, U., Wade, K.H., Walter, S., Watanabe, K., Weiss, S., Weiss, F.U., Weissbrod, O., Westra, H.J., Willemsen, G., Payami, H., Jonkers, D., Arias Vasquez, A., Geus, E.J.C. de, Meyer, K.A., Stokholm, J., Segal, E., Org, E., Wijmenga, C., Kim, H.L., Kaplan, R.C., Spector, T.D., Uitterlinden, A.G., Rivadeneira, F., Franke, A., Lerch, M.M., Franke, L., Sanna, S., D'Amato, M., and Pedersen, O., et al.
- Abstract
Item does not contain fulltext, To study the effect of host genetics on gut microbiome composition, the MiBioGen consortium curated and analyzed genome-wide genotypes and 16S fecal microbiome data from 18,340 individuals (24 cohorts). Microbial composition showed high variability across cohorts: only 9 of 410 genera were detected in more than 95% of samples. A genome-wide association study of host genetic variation regarding microbial taxa identified 31 loci affecting the microbiome at a genome-wide significant (P < 5 × 10(-8)) threshold. One locus, the lactase (LCT) gene locus, reached study-wide significance (genome-wide association study signal: P = 1.28 × 10(-20)), and it showed an age-dependent association with Bifidobacterium abundance. Other associations were suggestive (1.95 × 10(-10) < P < 5 × 10(-8)) but enriched for taxa showing high heritability and for genes expressed in the intestine and brain. A phenome-wide association study and Mendelian randomization identified enrichment of microbiome trait loci in the metabolic, nutrition and environment domains and suggested the microbiome might have causal effects in ulcerative colitis and rheumatoid arthritis.
- Published
- 2021
18. Imidazole propionate is increased in diabetes and associated with dietary patterns and altered microbial ecology (vol 11, 5881, 2020)
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Molinaro, A, Lassen, PB, Henricsson, M, Wu, H, Adriouch, S, Belda, E, Chakaroun, R, Nielsen, T, Bergh, P-O, Rouault, C, Andre, S, Marquet, F, Andreelli, F, Salem, J-E, Assmann, K, Bastard, J-P, Forslund, S, Le Chatelier, E, Falony, G, Pons, N, Prifti, E, Quinquis, B, Roume, H, Vieira-Silva, S, Hansen, TH, Pedersen, HK, Lewinter, C, Sonderskov, NB, Kober, L, Vestergaard, H, Hansen, T, Zucker, J-D, Galan, P, Dumas, M-E, Raes, J, Oppert, J-M, Letunic, I, Nielsen, J, Bork, P, Ehrlich, SD, Stumvoll, M, Pedersen, O, Aron-Wisnewsky, J, Clement, K, Backhed, F, and Commission of the European Communities
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Multidisciplinary Sciences ,MetaCardis Consortium ,Science & Technology ,Science & Technology - Other Topics - Published
- 2020
19. Statin therapy is associated with lower prevalence of gut microbiota dysbiosis [plus Methods, Extended data figures, Supplementary information, and Nature Research reporting summary]
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Vieira-Silva, S., Falony, G., Belda, E., Nielsen, T., Aron-Wisnewsky, J., Chakaroun, R., Forslund, S.F., Assmann, K., Valles-Colomer, M., Nguyen, T.T.D., Proost, S., Prifti, E., Tremaroli, V., Pons, N., Le Chatelier, E., Andreelli, F., Bastard, J.P., Coelho, L.P., Galleron, N., Hulot, J.S., Lewinter, C., Pedersen, H.K., Quinquis, B., Rouault, C., Roume, H., Salem, J.E., Søndertoft, N.B., Touch, S., Dumas, M.E., Ehrlich, S.D., Galan, P., Gøtze, J.P., Hansen, T.H., Holst, J.S., Køber, L., Letunic, I., Nielsen, J., Oppert, J.M., Stumvoll, M., Vestergaard, H., Zucker, Jean-Daniel, Bork, P., Pedersen, O., Bäckhed, F., Clément, K., Raes, J., Nutrition et obésités: approches systémiques (nutriomics) (UMR-S 1269 INSERM - Sorbonne Université), Institut National de la Santé et de la Recherche Médicale (INSERM)-Sorbonne Université (SU), Unité de Recherche sur les Maladies Cardiovasculaires, du Métabolisme et de la Nutrition = Institute of cardiometabolism and nutrition (ICAN), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-CHU Pitié-Salpêtrière [AP-HP], Sorbonne Université-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université-Sorbonne Université (SU), Service de nutrition [CHU Pitié-Salpétrière], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-CHU Pitié-Salpêtrière [AP-HP], Sorbonne Université-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université, Unité de modélisation mathématique et informatique des systèmes complexes [Bondy] (UMMISCO), Sorbonne Université (SU)-Universtié Yaoundé 1 [Cameroun]-Université Cadi Ayyad [Marrakech] (UCA)-Université Gaston Bergé (Saint-Louis, Sénégal)-Université Cheikh Anta Diop [Dakar, Sénégal] (UCAD)-Institut de la francophonie pour l'informatique-Institut de Recherche pour le Développement (IRD [France-Nord]), Service de diabétologie [CHU Pitié-Salpétrière], Service de biochimie et hormonologie [CHU Tenon], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-CHU Tenon [APHP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université-Sorbonne Université, Centre de Recherche Saint-Antoine (CR Saint-Antoine), Paris-Centre de Recherche Cardiovasculaire (PARCC - UMR-S U970), Hôpital Européen Georges Pompidou [APHP] (HEGP), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Hôpitaux Universitaires Paris Ouest - Hôpitaux Universitaires Île de France Ouest (HUPO)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Hôpitaux Universitaires Paris Ouest - Hôpitaux Universitaires Île de France Ouest (HUPO)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Paris (UP), CIC - HEGP (CIC 1418), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Hôpital Européen Georges Pompidou [APHP] (HEGP), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Hôpitaux Universitaires Paris Ouest - Hôpitaux Universitaires Île de France Ouest (HUPO)-Hôpitaux Universitaires Paris Ouest - Hôpitaux Universitaires Île de France Ouest (HUPO)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Paris (UP), Service de pharmacologie biologique [CHU Pitié-Salpêtrière], CIC Paris Est, Sorbonne Université - Faculté de Médecine (SU FM), and Sorbonne Université (SU)
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[SDV.MHEP.EM]Life Sciences [q-bio]/Human health and pathology/Endocrinology and metabolism ,[SDV.AEN]Life Sciences [q-bio]/Food and Nutrition ,[SDV.MHEP]Life Sciences [q-bio]/Human health and pathology - Abstract
Microbiome community typing analyses have recently identified the Bacteroides2 (Bact2) enterotype, an intestinal microbiota configuration that is associated with systemic inflammation and has a high prevalence in loose stools in humans. Bact2 is characterized by a high proportion of Bacteroides, a low proportion of Faecalibacterium and low microbial cell densities and its prevalence varies from 13% in a general population cohort to as high as 78% in patients with inflammatory bowel disease. Reported changes in stool consistency and inflammation status during the progression towards obesity and metabolic comorbidities led us to propose that these developments might similarly correlate with an increased prevalence of the potentially dysbiotic Bact2 enterotype. Here, by exploring obesity-associated microbiota alterations in the quantitative faecal metagenomes of the cross-sectional MetaCardis Body Mass Index Spectrum cohort (n = 888), we identify statin therapy as a key covariate of microbiome diversification. By focusing on a subcohort of participants that are not medicated with statins, we find that the prevalence of Bact2 correlates with body mass index, increasing from 3.90% in lean or overweight participants to 17.73% in obese participants. Systemic inflammation levels in Bact2-enterotyped individuals are higher than predicted on the basis of their obesity status, indicative of Bact2 as a dysbiotic microbiome constellation. We also observe that obesity-associated microbiota dysbiosis is negatively associated with statin treatment, resulting in a lower Bact2 prevalence of 5.88% in statin-medicated obese participants. This finding is validated in both the accompanying MetaCardis cardiovascular disease dataset (n = 282) and the independent Flemish Gut Flora Project population cohort (n = 2,345). The potential benefits of statins in this context will require further evaluation in a prospective clinical trial to ascertain whether the effect is reproducible in a randomized population and before considering their application as microbiota-modulating therapeutics.
- Published
- 2020
20. The reproductive microbiome – clinical practice recommendations for fertility specialists
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García-Velasco, J.A. (Juan A), Budding, D. (Dries), Campe, H. (Hartmut), Malfertheiner, S.F. (Sara Fill), Hamamah, S. (Samir), Santjohanser, C. (Claudia), Schuppe-Koistinen, I. (Ina), Nielsen, H.S. (Henriette Svarre), Vieira-Silva, S. (Sara), Laven, J.S.E. (Joop), García-Velasco, J.A. (Juan A), Budding, D. (Dries), Campe, H. (Hartmut), Malfertheiner, S.F. (Sara Fill), Hamamah, S. (Samir), Santjohanser, C. (Claudia), Schuppe-Koistinen, I. (Ina), Nielsen, H.S. (Henriette Svarre), Vieira-Silva, S. (Sara), and Laven, J.S.E. (Joop)
- Abstract
The interest in and understanding of the human microbiome has grown remarkably over recent years. Advances in molecular techniques have allowed researchers to identify and study the microbiota and also use this information to develop therapeutic solutions for a spectrum of conditions. Alongside the growing interest in the microbiome, societal changes have resulted in many couples looking to start families later in life, therefore increasing the demand for ass
- Published
- 2020
- Full Text
- View/download PDF
21. A synthesis of bacterial and archaeal phenotypic trait data.
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Madin JS, Nielsen DA, Brbic M, Corkrey R, Danko D, Edwards K, Engqvist MKM, Fierer N, Geoghegan JL, Gillings M, Kyrpides NC, Litchman E, Mason CE, Moore L, Nielsen SL, Paulsen IT, Price ND, Reddy TBK, Richards MA, Rocha EPC, Schmidt TM, Shaaban H, Shukla M, Supek F, Tetu SG, Vieira-Silva S, Wattam AR, Westfall DA, Westoby M, Madin JS, Nielsen DA, Brbic M, Corkrey R, Danko D, Edwards K, Engqvist MKM, Fierer N, Geoghegan JL, Gillings M, Kyrpides NC, Litchman E, Mason CE, Moore L, Nielsen SL, Paulsen IT, Price ND, Reddy TBK, Richards MA, Rocha EPC, Schmidt TM, Shaaban H, Shukla M, Supek F, Tetu SG, Vieira-Silva S, Wattam AR, Westfall DA, and Westoby M
- Abstract
A synthesis of phenotypic and quantitative genomic traits is provided for bacteria and archaea, in the form of a scripted, reproducible workflow that standardizes and merges 26 sources. The resulting unified dataset covers 14 phenotypic traits, 5 quantitative genomic traits, and 4 environmental characteristics for approximately 170,000 strain-level and 15,000 species-aggregated records. It spans all habitats including soils, marine and fresh waters and sediments, host-associated and thermal. Trait data can find use in clarifying major dimensions of ecological strategy variation across species. They can also be used in conjunction with species and abundance sampling to characterize trait mixtures in communities and responses of traits along environmental gradients.
- Published
- 2020
22. The reproductive microbiome - clinical practice recommendations for fertility specialists
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Garcia-Velasco, JA, Budding, D, Campe, H, Malfertheiner, SF, Hamamah, S, Santjohanser, C, Schuppe-Koistinen, I, Nielsen, HS, Vieira-Silva, S, Laven, Joop, Garcia-Velasco, JA, Budding, D, Campe, H, Malfertheiner, SF, Hamamah, S, Santjohanser, C, Schuppe-Koistinen, I, Nielsen, HS, Vieira-Silva, S, and Laven, Joop
- Published
- 2020
23. P253 The impact of storage time and freeze–thaw cycles on faecal calprotectin concentration in inflammatory bowel disease patients and controls
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Caenepeel, C, primary, Machiels, K, additional, Vieira-Silva, S, additional, Ardeshir Davani, N, additional, Ferrante, M, additional, and Vermeire, S, additional
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- 2019
- Full Text
- View/download PDF
24. P836 The predictive role of gut microbiota in treatment response to vedolizumab and ustekinumab in inflammatory bowel disease
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Caenepeel, C, primary, Vieira-Silva, S, additional, Verstockt, B, additional, Ferrante, M, additional, Raes, J, additional, and Vermeire, S, additional
- Published
- 2019
- Full Text
- View/download PDF
25. P854 Quantitative microbiome profiling changes the described dysbiotic state in inflammatory bowel disease
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Caenepeel, C, primary, Vieira-Silva, S, additional, Sabino, J, additional, Machiels, K, additional, Falony, G, additional, Ferrante, M, additional, Van Assche, G, additional, Raes, J, additional, and Vermeire, S, additional
- Published
- 2018
- Full Text
- View/download PDF
26. Exuberant emphysema in HIV-Infected patient
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Vieira-Silva, S., Domingues, V., França, M., and Correia, J.
- Abstract
Submitted by José Pereira (jro.pereira@gmail.com) on 2016-04-26T16:42:49Z No. of bitstreams: 1 Enfisema exuberante em doente com VIH.pdf: 95870 bytes, checksum: 555588dc07ceaef5c5108e316363bfa8 (MD5) Made available in DSpace on 2016-04-26T16:42:49Z (GMT). No. of bitstreams: 1 Enfisema exuberante em doente com VIH.pdf: 95870 bytes, checksum: 555588dc07ceaef5c5108e316363bfa8 (MD5) Previous issue date: 2014
- Published
- 2014
- Full Text
- View/download PDF
27. Population-based metagenomics analysis reveals markers for gut microbiome composition and diversity
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Zhernakova, A., Kurilshikov, A., Bonder, M.J., Tigchelaar, E.F., Schirmer, M., Vatanen, T., Mujagic, Z., Vila, A.V., Falony, G., Vieira-Silva, S., Wang, J, Imhann, F., Brandsma, E., Jankipersadsing, S.A., Joossens, M., Cenit, M.C., Deelen, P., Swertz, M.A., Weersma, R.K., Feskens, E.J.M., Netea, M.G., Gevers, D., Jonkers, D., Franke, L., Aulchenko, Y.S., Huttenhower, C., Raes, J., Hofker, M.H., Xavier, R.J., Wijmenga, C., Fu, J., Zhernakova, A., Kurilshikov, A., Bonder, M.J., Tigchelaar, E.F., Schirmer, M., Vatanen, T., Mujagic, Z., Vila, A.V., Falony, G., Vieira-Silva, S., Wang, J, Imhann, F., Brandsma, E., Jankipersadsing, S.A., Joossens, M., Cenit, M.C., Deelen, P., Swertz, M.A., Weersma, R.K., Feskens, E.J.M., Netea, M.G., Gevers, D., Jonkers, D., Franke, L., Aulchenko, Y.S., Huttenhower, C., Raes, J., Hofker, M.H., Xavier, R.J., Wijmenga, C., and Fu, J.
- Abstract
Contains fulltext : 171213.pdf (publisher's version ) (Closed access), Deep sequencing of the gut microbiomes of 1135 participants from a Dutch population-based cohort shows relations between the microbiome and 126 exogenous and intrinsic host factors, including 31 intrinsic factors, 12 diseases, 19 drug groups, 4 smoking categories, and 60 dietary factors. These factors collectively explain 18.7% of the variation seen in the interindividual distance of microbial composition. We could associate 110 factors to 125 species and observed that fecal chromogranin A (CgA), a protein secreted by enteroendocrine cells, was exclusively associated with 61 microbial species whose abundance collectively accounted for 53% of microbial composition. Low CgA concentrations were seen in individuals with a more diverse microbiome. These results are an important step toward a better understanding of environment-diet-microbe-host interactions.
- Published
- 2016
28. An Assessment of the Impacts of Molecular Oxygen on the Evolution of Proteomes
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Vieira-Silva, S., primary and Rocha, E. P. C., additional
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- 2008
- Full Text
- View/download PDF
29. Dysbiosis in Nlrp6/Asc-deficient mice does not result from inflammasome deficiency
- Author
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Mamantopoulos, M., Ronchi, F., Hauwermeiren, F., Vieira-Silva, S., Yilmaz, B., Martens, L., Yvan Saeys, Drexler, S., Yazdi, A., Raes, J., Lamkanfi, M., Mccoy, K., and Wullaert, A.
30. Ovarian stimulation alters the cervical microbiota
- Author
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Mackens, S., Vieira-Silva, S., Santos-Ribeiro, S., Centelles-Lodeiro, J., Racca, A., Gwen Falony, Tito, R., Tournaye, H., Raes, J., Blockeel, C., Faculty of Medicine and Pharmacy, Centre for Reproductive Medicine - Gynaecology, Reproductive immunology and implantation, Microbial Interactions, Surgical clinical sciences, Biology of the Testis, Department of Bio-engineering Sciences, and Reproduction and Genetics
31. Host-Microbiome Interactions in Primary Sclerosing Cholangitis
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Sabino, J., Vieira-Silva, S., Cleynen, I., Machiels, K., Marie Joossens, Falony, G., Wang, J., Ballet, V., Ferrante, M., Assche, G., Merwe, S., Raes, J., and Vermeire, S.
32. Metagenomics and metabolomics of patients with inflammatory bowel disease and their unaffected relatives
- Author
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Vancamelbeke, M., Sabino, J., Deroover, L., Vandermeulen, G., Luypaerts, A., Ferrante, M., Gwen Falony, Vieira-Silva, S., Verbeke, K., Raes, J., Cleynen, I., and Vermeire, S.
33. The FIT trial: anti-inflammatory dietary intervention effects on the intestinal microbiota
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Sabino, J., Vieira-Silva, S., Machiels, K., Joossens, M., Falony, G., Ferrante, M., Assche, G., Merwe, S., Matthys, C., Jeroen Raes, and Vermeire, S.
34. Genetic risk for Crohn's disease has little effect on intestinal microbiota composition
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Sabino, J., Vieira-Silva, S., Cleynen, I., Nys, K., Machiels, K., Marie Joossens, Falony, G., Wang, J., Ballet, V., Ferrante, M., Assche, G., Merwe, S., Raes, J., and Vermeire, S.
35. Rigorous Donor Selection for Fecal Microbiota Transplantation in Active Ulcerative Colitis: Key Lessons From a Randomized Controlled Trial Halted for Futility.
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Caenepeel C, Deleu S, Vazquez Castellanos JF, Arnauts K, Braekeleire S, Machiels K, Baert F, Mana F, Pouillon L, Hindryckx P, Lobaton T, Louis E, Franchimont D, Verstockt B, Ferrante M, Sabino J, Vieira-Silva S, Falony G, Raes J, and Vermeire S
- Abstract
Background & Aims: Rigorous donor preselection on microbiota level, strict anaerobic processing, and repeated fecal microbiota transplantation (FMT) administration were hypothesized to improve FMT induction of remission in ulcerative colitis (UC)., Methods: The RESTORE-UC trial was a multi-centric, double-blind, sham-controlled, randomized trial. Patients with moderate to severe UC (defined by total Mayo 4-10) were randomly allocated to receive 4 anaerobic-prepared allogenic or autologous donor FMTs. Allogenic donor material was selected after a rigorous screening based on microbial cell count, enterotype, and the abundance of specific genera. The primary endpoint was steroid-free clinical remission (total Mayo ≤2, no sub-score >1) at week 8. A pre-planned futility analysis was performed after 66% (n = 72) of intended inclusions (n = 108). Quantitative microbiome profiling (n = 44) was performed at weeks 0 and 8., Results: In total, 72 patients were included, of which 66 received at least 1 FMT (allogenic FMT, n = 30 and autologous FMT, n = 36). At week 8, respectively, 3 and 5 patients reached the primary endpoint of steroid-free clinical remission (P = .72), indicating no treatment difference of at least 5% in favor of allogenic FMT. Hence, the study was stopped due to futility. Microbiome analysis showed numerically more enterotype transitions upon allogenic FMT compared with autologous FMT, and more transitions were observed when patients were treated with a different enterotype than their own at baseline (P = .01). Primary response was associated with lower total Mayo scores, lower bacterial cell counts, and higher Bacteroides 2 prevalence at baseline., Conclusion: The RESTORE-UC trial did not meet its primary endpoint of increased steroid-free clinical remission at week 8. Further research should additionally consider patient selection, sterilized sham-control, increased frequency, density, and viability of FMT prior to administration., Clinicaltrials: gov, Number: NCT03110289., (Copyright © 2024 The Author(s). Published by Elsevier Inc. All rights reserved.)
- Published
- 2024
- Full Text
- View/download PDF
36. Microbiome confounders and quantitative profiling challenge predicted microbial targets in colorectal cancer development.
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Tito RY, Verbandt S, Aguirre Vazquez M, Lahti L, Verspecht C, Lloréns-Rico V, Vieira-Silva S, Arts J, Falony G, Dekker E, Reumers J, Tejpar S, and Raes J
- Subjects
- Humans, Middle Aged, Female, Aged, Male, Adult, Aged, 80 and over, Young Adult, Microbiota genetics, Leukocyte L1 Antigen Complex metabolism, Colorectal Neoplasms microbiology, Feces microbiology, RNA, Ribosomal, 16S genetics, Gastrointestinal Microbiome genetics
- Abstract
Despite substantial progress in cancer microbiome research, recognized confounders and advances in absolute microbiome quantification remain underused; this raises concerns regarding potential spurious associations. Here we study the fecal microbiota of 589 patients at different colorectal cancer (CRC) stages and compare observations with up to 15 published studies (4,439 patients and controls total). Using quantitative microbiome profiling based on 16S ribosomal RNA amplicon sequencing, combined with rigorous confounder control, we identified transit time, fecal calprotectin (intestinal inflammation) and body mass index as primary microbial covariates, superseding variance explained by CRC diagnostic groups. Well-established microbiome CRC targets, such as Fusobacterium nucleatum, did not significantly associate with CRC diagnostic groups (healthy, adenoma and carcinoma) when controlling for these covariates. In contrast, the associations of Anaerococcus vaginalis, Dialister pneumosintes, Parvimonas micra, Peptostreptococcus anaerobius, Porphyromonas asaccharolytica and Prevotella intermedia remained robust, highlighting their future target potential. Finally, control individuals (age 22-80 years, mean 57.7 years, standard deviation 11.3) meeting criteria for colonoscopy (for example, through a positive fecal immunochemical test) but without colonic lesions are enriched for the dysbiotic Bacteroides2 enterotype, emphasizing uncertainties in defining healthy controls in cancer microbiome research. Together, these results indicate the importance of quantitative microbiome profiling and covariate control for biomarker identification in CRC microbiome studies., (© 2024. The Author(s).)
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- 2024
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- View/download PDF
37. Dysbiosis and Associated Stool Features Improve Prediction of Response to Biological Therapy in Inflammatory Bowel Disease.
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Caenepeel C, Falony G, Machiels K, Verstockt B, Goncalves PJ, Ferrante M, Sabino J, Raes J, Vieira-Silva S, and Vermeire S
- Subjects
- Humans, Dysbiosis, Feces, Biological Therapy, Tumor Necrosis Factor-alpha, Leukocyte L1 Antigen Complex, Necrosis, Inflammatory Bowel Diseases diagnosis, Inflammatory Bowel Diseases drug therapy, Colitis, Ulcerative diagnosis, Colitis, Ulcerative drug therapy
- Abstract
Background & Aims: Dysbiosis of the gut microbiota is considered a key contributor to inflammatory bowel disease (IBD) etiology. Here, we investigated potential associations between microbiota composition and the outcomes to biological therapies., Methods: The study prospectively recruited 296 patients with active IBD (203 with Crohn's disease, 93 with ulcerative colitis) initiating biological therapy. Quantitative microbiome profiles of pretreatment and posttreatment fecal samples were obtained combining flow cytometry with 16S amplicon sequencing. Therapeutic response was assessed by endoscopy, patient-reported outcomes, and changes in fecal calprotectin. The effect of therapy on microbiome variation was evaluated using constrained ordination methods. Prediction of therapy outcome was performed using logistic regression with 5-fold cross-validation., Results: At baseline, 65.9% of patients carried the dysbiotic Bacteroides2 (Bact2) enterotype, with a significantly higher prevalence among patients with ileal involvement (76.8%). Microbiome variation was associated with the choice of biological therapy rather than with therapeutic outcome. Only anti-tumor necrosis factor-α treatment resulted in a microbiome shift away from Bact2, concomitant with an increase in microbial load and butyrogen abundances and a decrease in potentially opportunistic Veillonella. Remission rates for patients hosting Bact2 at baseline were significantly higher with anti-tumor necrosis factor-α than with vedolizumab (65.1% vs 35.2%). A prediction model, based on anthropometrics and clinical data, stool features (microbial load, moisture, and calprotectin), and Bact2 detection predicted treatment outcome with 73.9% accuracy for specific biological therapies., Conclusion: Fecal characterization based on microbial load, moisture content, calprotectin concentration, and enterotyping may aid in the therapeutic choice of biological therapy in IBD., (Copyright © 2024 AGA Institute. Published by Elsevier Inc. All rights reserved.)
- Published
- 2024
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38. Community Types of the Human Gut Virome are Associated with Endoscopic Outcome in Ulcerative Colitis.
- Author
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Jansen D, Falony G, Vieira-Silva S, Simsek C, Marcelis T, Caenepeel C, Machiels K, Raes J, Vermeire S, and Matthijnssens J
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- Humans, Male, Female, Adult, Middle Aged, Bacteriophages isolation & purification, Dysbiosis virology, Treatment Outcome, High-Throughput Nucleotide Sequencing, Virome, Gastrointestinal Microbiome, Colitis, Ulcerative virology, Colitis, Ulcerative therapy, Feces virology, Feces microbiology
- Abstract
Background: Inflammatory bowel disease [IBD] is a major debilitating disease. Recently, the gut microbiota has gained attention as an important factor involved in the pathophysiology of IBD. As a complement to the established bacterial 'enterotypes' associated with IBD, we focused here on viruses. We investigated the intestinal virome of IBD patients undergoing biological therapy for the presence of virome configurations associated with IBD, and to uncover how those configurations are associated with therapeutic success., Methods: Viral-like particle enrichment followed by deep sequencing was performed on 432 faecal samples from 181 IBD patients starting biological therapy. Redundancy analysis and Dirichlet Multinomial Mixtures were applied to determine covariates of the virome composition and to condense the gut virota into 'viral community types', respectively., Results: Patients were stratified based on unsupervised clustering into two viral community types. Community type CA showed a low α-diversity and a high relative abundance of Caudoviricetes [non-CrAss] phages and was associated with the dysbiotic Bact2-enterotype. Community type CrM showed a high α-diversity and a high relative abundance of Crassvirales and Malgrandaviricetes phages. During post-interventional analysis, endoscopic outcome was associated with gut virome composition. Remitting UC patients had a high percentage of community type CrM, a high Shannon diversity and a low lysogenic potential. Pre-interventional analyses also identified five novel phages associated with treatment success., Conclusions: This study proposed two gut virome configurations that may be involved in the pathophysiology of IBD. Interestingly, those viral configurations are further associated with therapeutic success, suggesting a potential clinical relevance., (© The Author(s) 2023. Published by Oxford University Press on behalf of European Crohn’s and Colitis Organisation.)
- Published
- 2023
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39. Evidence of a causal and modifiable relationship between kidney function and circulating trimethylamine N-oxide.
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Andrikopoulos P, Aron-Wisnewsky J, Chakaroun R, Myridakis A, Forslund SK, Nielsen T, Adriouch S, Holmes B, Chilloux J, Vieira-Silva S, Falony G, Salem JE, Andreelli F, Belda E, Kieswich J, Chechi K, Puig-Castellvi F, Chevalier M, Le Chatelier E, Olanipekun MT, Hoyles L, Alves R, Helft G, Isnard R, Køber L, Coelho LP, Rouault C, Gauguier D, Gøtze JP, Prifti E, Froguel P, Zucker JD, Bäckhed F, Vestergaard H, Hansen T, Oppert JM, Blüher M, Nielsen J, Raes J, Bork P, Yaqoob MM, Stumvoll M, Pedersen O, Ehrlich SD, Clément K, and Dumas ME
- Subjects
- Adult, Humans, Causality, Kidney, Methylamines, Endocrinology
- Abstract
The host-microbiota co-metabolite trimethylamine N-oxide (TMAO) is linked to increased cardiovascular risk but how its circulating levels are regulated remains unclear. We applied "explainable" machine learning, univariate, multivariate and mediation analyses of fasting plasma TMAO concentration and a multitude of phenotypes in 1,741 adult Europeans of the MetaCardis study. Here we show that next to age, kidney function is the primary variable predicting circulating TMAO, with microbiota composition and diet playing minor, albeit significant, roles. Mediation analysis suggests a causal relationship between TMAO and kidney function that we corroborate in preclinical models where TMAO exposure increases kidney scarring. Consistent with our findings, patients receiving glucose-lowering drugs with reno-protective properties have significantly lower circulating TMAO when compared to propensity-score matched control individuals. Our analyses uncover a bidirectional relationship between kidney function and TMAO that can potentially be modified by reno-protective anti-diabetic drugs and suggest a clinically actionable intervention for decreasing TMAO-associated excess cardiovascular risk., (© 2023. Springer Nature Limited.)
- Published
- 2023
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40. Systematic optimization of fermentation conditions for in vitro fermentations with fecal inocula.
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Poppe J, Vieira-Silva S, Raes J, Verbeke K, and Falony G
- Abstract
In vitro fermentation strategies with fecal inocula are considered cost-effective methods to gain mechanistic insights into fecal microbiota community dynamics. However, all in vitro approaches have their limitations due to inherent differences with respect to the in vivo situation mimicked, introducing possible biases into the results obtained. Here, we aimed to systematically optimize in vitro fermentation conditions to minimize drift from the initial inoculum, limit growth of opportunistic colonizers, and maximize the effect of added fiber products (here pectin) when compared to basal medium fermentations. We evaluated the impact of varying starting cell density and medium nutrient concentration on these three outcomes, as well as the effect of inoculation with fresh vs. stored fecal samples. By combining GC-MS metabolite profiling and 16 s rRNA gene-based amplicon sequencing, we established that starting cell densities below 10
10 cells/ml opened up growth opportunities for members the Enterobacteriaceae family. This effect was exacerbated when using fecal samples that were stored frozen at -80°C. Overgrowth of Enterobacteriaceae resulted in lowered alpha-diversity and larger community drift, possibly confounding results obtained from fermentations in such conditions. Higher medium nutrient concentrations were identified as an additional factor contributing to inoculum community preservation, although the use of a less nutrient dense medium increased the impact of fiber product addition on the obtained metabolite profiles. Overall, our microbiome observations indicated that starting cell densities of 1010 cells/ml limited opportunities for exponential growth, suppressing in vitro community biases, whilst metabolome incubations should preferably be carried out in a diluted medium to maximize the impact of fermentable substrates., Competing Interests: JR is an advisor for MRM health. The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2023 Poppe, Vieira-Silva, Raes, Verbeke and Falony.)- Published
- 2023
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41. The gut microbiota contributes to the pathogenesis of anorexia nervosa in humans and mice.
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Fan Y, Støving RK, Berreira Ibraim S, Hyötyläinen T, Thirion F, Arora T, Lyu L, Stankevic E, Hansen TH, Déchelotte P, Sinioja T, Ragnarsdottir O, Pons N, Galleron N, Quinquis B, Levenez F, Roume H, Falony G, Vieira-Silva S, Raes J, Clausen L, Telléus GK, Bäckhed F, Oresic M, Ehrlich SD, and Pedersen O
- Subjects
- Humans, Female, Animals, Mice, Male, Metabolomics, Feces microbiology, Feeding Behavior, Bacteria genetics, Gastrointestinal Microbiome, Anorexia Nervosa microbiology
- Abstract
Anorexia nervosa (AN) is an eating disorder with a high mortality. About 95% of cases are women and it has a population prevalence of about 1%, but evidence-based treatment is lacking. The pathogenesis of AN probably involves genetics and various environmental factors, and an altered gut microbiota has been observed in individuals with AN using amplicon sequencing and relatively small cohorts. Here we investigated whether a disrupted gut microbiota contributes to AN pathogenesis. Shotgun metagenomics and metabolomics were performed on faecal and serum samples, respectively, from a cohort of 77 females with AN and 70 healthy females. Multiple bacterial taxa (for example, Clostridium species) were altered in AN and correlated with estimates of eating behaviour and mental health. The gut virome was also altered in AN including a reduction in viral-bacterial interactions. Bacterial functional modules associated with the degradation of neurotransmitters were enriched in AN and various structural variants in bacteria were linked to metabolic features of AN. Serum metabolomics revealed an increase in metabolites associated with reduced food intake (for example, indole-3-propionic acid). Causal inference analyses implied that serum bacterial metabolites are potentially mediating the impact of an altered gut microbiota on AN behaviour. Further, we performed faecal microbiota transplantation from AN cases to germ-free mice under energy-restricted feeding to mirror AN eating behaviour. We found that the reduced weight gain and induced hypothalamic and adipose tissue gene expression were related to aberrant energy metabolism and eating behaviour. Our 'omics' and mechanistic studies imply that a disruptive gut microbiome may contribute to AN pathogenesis., (© 2023. The Author(s).)
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- 2023
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42. Fat and not sugar as the determining factor for gut microbiota changes, obesity, and related metabolic disorders in mice.
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Suriano F, Vieira-Silva S, Falony G, de Wouters d'Oplinter A, Paone P, Delzenne NM, Everard A, Raes J, Van Hul M, and Cani PD
- Subjects
- Mice, Animals, Sugars pharmacology, Mice, Inbred C57BL, Obesity metabolism, Diet, High-Fat, Inflammation, Bacteria, Gastrointestinal Microbiome, Diabetes Mellitus, Type 2 complications
- Abstract
Diet-induced obesity contributes to the development of type 2 diabetes, insulin resistance, metabolic inflammation, oxidative and endoplasmic reticulum (ER) stress. Overall, obesity is associated with deviations in the composition and functionality of the gut microbiota. There are many divergent findings regarding the link between the excessive intake of certain dietary components (i.e., fat and sugar) and obesity development. We therefore investigated the effect of specific diets, with a different content of sugar and fat, in promoting obesity and related comorbidities as well as their impact on microbial load and gut microbiota composition/diversity. C57BL/6J mice were fed either a low-sugar, low-fat control diet (CT), a high-sugar diet (HS), a high-fat, high-sugar diet (HF/HS), or a high-fat diet (HF) for 8 wk. The impact of the different diets on obesity, glucose metabolism, inflammation, and oxidative and ER stress was determined. Diet-induced changes in the gut microbiota composition and density were also analyzed. HF diet-fed mice showed the highest body weight and fat mass gains and displayed the most impaired glucose and insulin profiles. HS, HF/HS, and HF diets differently affected hepatic cholesterol content and mRNA expression of several markers associated with immune cells, inflammation, oxidative and ER stress in several organs/tissues. In addition, HF diet feeding resulted in a decreased microbial load at the end of the experiment. When analyzing the gut microbiota composition, we found that HS, HF/HS, and HF diets induced specific changes in the abundance of certain bacterial taxa. This was not associated with a specific change in systemic inflammatory markers, but HS mice exhibited higher FGF21 plasma levels compared with HF diet-fed mice. Taken together, our results highlight that dietary intake of different macronutrients distinctively impacts the development of an obese/diabetic state and the regulation of metabolic inflammation in specific organs. We propose that these differences are not only obesity-driven but that changes in the gut microbiota composition may play a key role in this context. NEW & NOTEWORTHY To our knowledge, this study is the first to demonstrate that dietary macronutrients (i.e., sugar and fat) have an impact on fecal bacterial cell counting and quantitative microbiome profiling in mice. Yet, we demonstrate that dietary fat is the determining factor to promote obesity and diabetes progression, and local inflammation in different body sites. These observations can help to disentangle the conundrum of the detrimental effects of fat and sugar in our dietary habits.
- Published
- 2023
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43. Gut microbiome composition is associated with long-term disability worsening in multiple sclerosis.
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Devolder L, Pauwels A, Van Remoortel A, Falony G, Vieira-Silva S, Nagels G, De Keyser J, Raes J, and D'Hooghe MB
- Subjects
- Humans, Multiple Sclerosis, Gastrointestinal Microbiome
- Abstract
Predicting the long-term outcome of multiple sclerosis (MS) remains an important challenge to this day. As the gut microbiota is emerging as a potential player in MS, we investigated in this study whether gut microbial composition at baseline is related to long-term disability worsening in a longitudinal cohort of 111 MS patients. Fecal samples and extensive host metadata were collected at baseline and 3 months post-baseline, with additional repeated neurological measurements performed over (median) 4.4 y. Worsening (with EDSS-Plus) occurred in 39/95 patients (outcome undetermined for 16 individuals). The inflammation-associated, dysbiotic Bacteroides 2 enterotype (Bact2) was detected at baseline in 43.6% of worsened patients, while only 16.1% of non-worsened patients harbored Bact2. This association was independent of identified confounders, and Bact2 was more strongly associated with EDSS-Plus than neurofilament light chain (NfL) plasma levels. Furthermore, using fecal sampling performed 3 months post-baseline, we observed Bact2 to be relatively stable, suggesting its potential use as a prognostic biomarker in MS clinical practice.
- Published
- 2023
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44. Impairment of gut microbial biotin metabolism and host biotin status in severe obesity: effect of biotin and prebiotic supplementation on improved metabolism.
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Belda E, Voland L, Tremaroli V, Falony G, Adriouch S, Assmann KE, Prifti E, Aron-Wisnewsky J, Debédat J, Le Roy T, Nielsen T, Amouyal C, André S, Andreelli F, Blüher M, Chakaroun R, Chilloux J, Coelho LP, Dao MC, Das P, Fellahi S, Forslund S, Galleron N, Hansen TH, Holmes B, Ji B, Krogh Pedersen H, Le P, Le Chatelier E, Lewinter C, Mannerås-Holm L, Marquet F, Myridakis A, Pelloux V, Pons N, Quinquis B, Rouault C, Roume H, Salem JE, Sokolovska N, Søndertoft NB, Touch S, Vieira-Silva S, Galan P, Holst J, Gøtze JP, Køber L, Vestergaard H, Hansen T, Hercberg S, Oppert JM, Nielsen J, Letunic I, Dumas ME, Stumvoll M, Pedersen OB, Bork P, Ehrlich SD, Zucker JD, Bäckhed F, Raes J, and Clément K
- Subjects
- Humans, Mice, Animals, Prebiotics, Biotin pharmacology, Mice, Inbred C57BL, Obesity metabolism, Inflammation, Gastrointestinal Microbiome, Obesity, Morbid surgery, Diabetes Mellitus, Type 2, Vitamin B Complex pharmacology
- Abstract
Objectives: Gut microbiota is a key component in obesity and type 2 diabetes, yet mechanisms and metabolites central to this interaction remain unclear. We examined the human gut microbiome's functional composition in healthy metabolic state and the most severe states of obesity and type 2 diabetes within the MetaCardis cohort. We focused on the role of B vitamins and B7/B8 biotin for regulation of host metabolic state, as these vitamins influence both microbial function and host metabolism and inflammation., Design: We performed metagenomic analyses in 1545 subjects from the MetaCardis cohorts and different murine experiments, including germ-free and antibiotic treated animals, faecal microbiota transfer, bariatric surgery and supplementation with biotin and prebiotics in mice., Results: Severe obesity is associated with an absolute deficiency in bacterial biotin producers and transporters, whose abundances correlate with host metabolic and inflammatory phenotypes. We found suboptimal circulating biotin levels in severe obesity and altered expression of biotin-associated genes in human adipose tissue. In mice, the absence or depletion of gut microbiota by antibiotics confirmed the microbial contribution to host biotin levels. Bariatric surgery, which improves metabolism and inflammation, associates with increased bacterial biotin producers and improved host systemic biotin in humans and mice. Finally, supplementing high-fat diet-fed mice with fructo-oligosaccharides and biotin improves not only the microbiome diversity, but also the potential of bacterial production of biotin and B vitamins, while limiting weight gain and glycaemic deterioration., Conclusion: Strategies combining biotin and prebiotic supplementation could help prevent the deterioration of metabolic states in severe obesity., Trial Registration Number: NCT02059538., Competing Interests: Competing interests: KC is a consultant for Danone Research, Ysopia and CONFO therapeutics for work not associated with this study. KC held a collaborative research contract with Danone Research in the context of MetaCardis project. FB is a shareholder of Implexion pharma AB. MB received lecture and/or consultancy fees from AstraZeneca, Boehringer-Ingelheim, Lilly, Novo Nordisk, Novartis and Sanofi., (© Author(s) (or their employer(s)) 2022. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.)
- Published
- 2022
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45. Specific contributions of segmental transit times to gut microbiota composition.
- Author
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Steenackers N, Falony G, Augustijns P, Van der Schueren B, Vanuytsel T, Vieira-Silva S, Wauters L, Raes J, and Matthys C
- Subjects
- Feces, Gastrointestinal Transit, Humans, Gastrointestinal Microbiome
- Abstract
Competing Interests: Competing interests: None declared.
- Published
- 2022
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46. The virota and its transkingdom interactions in the healthy infant gut.
- Author
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Beller L, Deboutte W, Vieira-Silva S, Falony G, Tito RY, Rymenans L, Yinda CK, Vanmechelen B, Van Espen L, Jansen D, Shi C, Zeller M, Maes P, Faust K, Van Ranst M, Raes J, and Matthijnssens J
- Subjects
- Bacteria, Humans, Infant, Bacteriophages, Gastrointestinal Microbiome, Microbiota, Viruses
- Abstract
SignificanceMicrobes colonizing the infant gut during the first year(s) of life play an important role in immune system development. We show that after birth the (nearly) sterile gut is rapidly colonized by bacteria and their viruses (phages), which often show a strong cooccurrence. Most viruses infecting the infant do not cause clinical signs and their numbers strongly increase after day-care entrance. The infant diet is clearly reflected by identification of plant-infecting viruses, whereas fungi and parasites are not part of a stable gut microbiota. These temporal high-resolution baseline data about the gut colonization process will be valuable for further investigations of pathogenic viruses, dynamics between phages and their bacterial host, as well as studies investigating infants with a disturbed microbiota.
- Published
- 2022
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47. Exploring the relationship between the gut microbiome and mental health outcomes in a posttraumatic stress disorder cohort relative to trauma-exposed controls.
- Author
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Malan-Muller S, Valles-Colomer M, Foxx CL, Vieira-Silva S, van den Heuvel LL, Raes J, Seedat S, Lowry CA, and Hemmings SMJ
- Subjects
- Diagnostic and Statistical Manual of Mental Disorders, Humans, Outcome Assessment, Health Care, Depressive Disorder, Major, Gastrointestinal Microbiome genetics, Stress Disorders, Post-Traumatic psychology
- Abstract
Posttraumatic stress disorder (PTSD) imposes a significant burden on patients and communities. Although the microbiome-gut-brain axis has been proposed as a mediator or moderator of PTSD risk and persistence of symptoms, clinical data directly delineating the gut microbiome's relationship to PTSD are sparse. This study investigated associations between the gut microbiome and mental health outcomes in participants with PTSD (n = 79) and trauma-exposed controls (TECs) (n = 58). Diagnoses of PTSD, major depressive disorder (MDD), and childhood trauma were made using the Clinician-Administered PTSD Scale for DSM-5 (CAPS-5), MINI International Neuropsychiatric Interview (MINI), and Childhood Trauma Questionnaire (CTQ), respectively. Microbial communities from stool samples were profiled using 16S ribosomal RNA gene V4 amplicon sequencing and tested for associations with PTSD-related variables of interest. Random forest models identified a consortium of four genera, i.e., a combination of Mitsuokella, Odoribacter, Catenibacterium, and Olsenella, previously associated with periodontal disease, that could distinguish PTSD status with 66.4% accuracy. The relative abundance of this consortium was higher in the PTSD group and correlated positively with CAPS-5 and CTQ scores. MDD diagnosis was also associated with increased relative abundance of the Bacteroidetes phylum. Current use of psychotropics significantly impacted community composition and the relative abundances of several taxa. Early life trauma may prime the microbiome for changes in composition that facilitate a pro-inflammatory cascade and increase the risk of development of PTSD. Future studies should rigorously stratify participants into healthy controls, TECs, and PTSD (stratified by psychotropic drug use) to explore the role of the oral-gut-microbiome-brain axis in trauma-related disorders., Competing Interests: Declaration of Competing Interest CAL. serves on the Scientific Advisory Board of Immodulon Therapeutics, Ltd., is Cofounder and Chief Scientific Officer of Mycobacteria Therapeutics Corporation, and is a member of the faculty of the Integrative Psychiatry Institute, Boulder, Colorado. The remaining authors have no competing interests to disclose., (Copyright © 2021 Elsevier B.V. and ECNP. All rights reserved.)
- Published
- 2022
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48. Dysosmobacter welbionis is a newly isolated human commensal bacterium preventing diet-induced obesity and metabolic disorders in mice.
- Author
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Le Roy T, Moens de Hase E, Van Hul M, Paquot A, Pelicaen R, Régnier M, Depommier C, Druart C, Everard A, Maiter D, Delzenne NM, Bindels LB, de Barsy M, Loumaye A, Hermans MP, Thissen JP, Vieira-Silva S, Falony G, Raes J, Muccioli GG, and Cani PD
- Subjects
- Animals, Case-Control Studies, Cohort Studies, Humans, Insulin Resistance, Mice, Mice, Obese, Clostridiales isolation & purification, Metabolic Diseases microbiology, Metabolic Diseases prevention & control, Obesity microbiology, Obesity prevention & control
- Abstract
Objective: To investigate the abundance and the prevalence of Dysosmobacter welbionis J115
T , a novel butyrate-producing bacterium isolated from the human gut both in the general population and in subjects with metabolic syndrome. To study the impact of this bacterium on host metabolism using diet-induced obese and diabetic mice., Design: We analysed the presence and abundance of the bacterium in 11 984 subjects using four human cohorts (ie, Human Microbiome Project, American Gut Project, Flemish Gut Flora Project and Microbes4U). Then, we tested the effects of daily oral gavages with live D. welbionis J115T on metabolism and several hallmarks of obesity, diabetes, inflammation and lipid metabolism in obese/diabetic mice., Results: This newly identified bacterium was detected in 62.7%-69.8% of the healthy population. Strikingly, in obese humans with a metabolic syndrome, the abundance of Dysosmobacter genus correlates negatively with body mass index, fasting glucose and glycated haemoglobin. In mice, supplementation with live D. welbionis J115T , but not with the pasteurised bacteria, partially counteracted diet-induced obesity development, fat mass gain, insulin resistance and white adipose tissue hypertrophy and inflammation. In addition, live D. welbionis J115T administration protected the mice from brown adipose tissue inflammation in association with increased mitochondria number and non-shivering thermogenesis. These effects occurred with minor impact on the mouse intestinal microbiota composition., Conclusions: These results suggest that D. welbionis J115T directly and beneficially influences host metabolism and is a strong candidate for the development of next-generation beneficial bacteria targeting obesity and associated metabolic diseases., Competing Interests: Competing interests: PDC is cofounder of A-Mansia biotech. TLR and PDC are inventors on patent applications dealing with the use bacteria in the treatment of obesity and related disorders., (© Author(s) (or their employer(s)) 2022. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.)- Published
- 2022
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49. Microbiome and metabolome features of the cardiometabolic disease spectrum.
- Author
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Fromentin S, Forslund SK, Chechi K, Aron-Wisnewsky J, Chakaroun R, Nielsen T, Tremaroli V, Ji B, Prifti E, Myridakis A, Chilloux J, Andrikopoulos P, Fan Y, Olanipekun MT, Alves R, Adiouch S, Bar N, Talmor-Barkan Y, Belda E, Caesar R, Coelho LP, Falony G, Fellahi S, Galan P, Galleron N, Helft G, Hoyles L, Isnard R, Le Chatelier E, Julienne H, Olsson L, Pedersen HK, Pons N, Quinquis B, Rouault C, Roume H, Salem JE, Schmidt TSB, Vieira-Silva S, Li P, Zimmermann-Kogadeeva M, Lewinter C, Søndertoft NB, Hansen TH, Gauguier D, Gøtze JP, Køber L, Kornowski R, Vestergaard H, Hansen T, Zucker JD, Hercberg S, Letunic I, Bäckhed F, Oppert JM, Nielsen J, Raes J, Bork P, Stumvoll M, Segal E, Clément K, Dumas ME, Ehrlich SD, and Pedersen O
- Subjects
- Humans, Longitudinal Studies, Metabolome, Middle Aged, Cardiovascular Diseases, Diabetes Mellitus, Type 2, Microbiota
- Abstract
Previous microbiome and metabolome analyses exploring non-communicable diseases have paid scant attention to major confounders of study outcomes, such as common, pre-morbid and co-morbid conditions, or polypharmacy. Here, in the context of ischemic heart disease (IHD), we used a study design that recapitulates disease initiation, escalation and response to treatment over time, mirroring a longitudinal study that would otherwise be difficult to perform given the protracted nature of IHD pathogenesis. We recruited 1,241 middle-aged Europeans, including healthy individuals, individuals with dysmetabolic morbidities (obesity and type 2 diabetes) but lacking overt IHD diagnosis and individuals with IHD at three distinct clinical stages-acute coronary syndrome, chronic IHD and IHD with heart failure-and characterized their phenome, gut metagenome and serum and urine metabolome. We found that about 75% of microbiome and metabolome features that distinguish individuals with IHD from healthy individuals after adjustment for effects of medication and lifestyle are present in individuals exhibiting dysmetabolism, suggesting that major alterations of the gut microbiome and metabolome might begin long before clinical onset of IHD. We further categorized microbiome and metabolome signatures related to prodromal dysmetabolism, specific to IHD in general or to each of its three subtypes or related to escalation or de-escalation of IHD. Discriminant analysis based on specific IHD microbiome and metabolome features could better differentiate individuals with IHD from healthy individuals or metabolically matched individuals as compared to the conventional risk markers, pointing to a pathophysiological relevance of these features., (© 2022. The Author(s).)
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- 2022
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50. Variation and transmission of the human gut microbiota across multiple familial generations.
- Author
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Valles-Colomer M, Bacigalupe R, Vieira-Silva S, Suzuki S, Darzi Y, Tito RY, Yamada T, Segata N, Raes J, and Falony G
- Subjects
- Adolescent, Adult, Aged, Aged, 80 and over, Bacteria classification, Bacterial Physiological Phenomena genetics, Child, Child, Preschool, Cohort Studies, Feces microbiology, Female, Gastrointestinal Microbiome physiology, Humans, Metagenomics methods, Middle Aged, RNA, Ribosomal, 16S genetics, Young Adult, Bacteria genetics, Family, Gastrointestinal Microbiome genetics, Metagenome
- Abstract
Although the composition and functional potential of the human gut microbiota evolve over the lifespan, kinship has been identified as a key covariate of microbial community diversification. However, to date, sharing of microbiota features within families has mostly been assessed between parents and their direct offspring. Here we investigate the potential transmission and persistence of familial microbiome patterns and microbial genotypes in a family cohort (n = 102) spanning 3 to 5 generations over the same female bloodline. We observe microbiome community composition associated with kinship, with seven low abundant genera displaying familial distribution patterns. While kinship and current cohabitation emerge as closely entangled variables, our explorative analyses of microbial genotype distribution and transmission estimates point at the latter as a key covariate of strain dissemination. Highest potential transmission rates are estimated between sisters and mother-daughter pairs, decreasing with increasing daughter's age and being higher among cohabiting pairs than those living apart. Although rare, we detect potential transmission events spanning three and four generations, primarily involving species of the genera Alistipes and Bacteroides. Overall, while our analyses confirm the existence of family-bound microbiome community profiles, transmission or co-acquisition of bacterial strains appears to be strongly linked to cohabitation., (© 2021. The Author(s).)
- Published
- 2022
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