The DOI matches its Crossref record; 46 of the 48 references it cites were found in a registry or an index.
Gut microbiota after gastric bypass in human obesity: increased richness and associations of bacterial genera with adipose tissue genes
Open accessAbstract
Background Roux-en-Y gastric bypass (RYGB) surgery is one of the most efficient procedures for treating morbid obesity and results in weight-loss and improvements in metabolism and inflammation.Objective We examined the impact of RYGB on modifications of gut microbiota and its potential associations with changes in gene expression in white adipose tissue (WAT).Design Gut microbiota were profiled from fecal samples by using pyrosequencing in morbidly obese individuals, explored before (0 mo), 3 mo after, and 6 mo after RYGB. WAT gene expression was studied at 0 and 3 mo. We explored associations between microbial genera and differentially expressed genes in WAT and clinical markers.Results The richness of gut microbiota increased after RYGB; 37% of increased bacteria belonged to Proteobacteria. The associations between gut microbiota composition and WAT gene expression increased after RYGB. Fourteen discriminant bacterial genera (7 were dominant and 7 were subdominant) and 202 WAT genes changed after RYGB. Variations in bacterial genera correlated with changes in both clinical phenotype and adipose tissue gene expression. Some genes encode metabolic and inflammatory genes. Almost half of the correlations were independent of the change in calorie intake.Conclusion These results show an increase in gut microbiota richness and in the number of associations between gut microbiota and WAT genes after RYGB in obesity. Variations of gut microbiota were associated with changes in WAT gene expression. These findings stimulate deeper explorations of the mechanisms linking gut microbiome and WAT pathological alterations in human obesity and its changes after weight loss.
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“Recent work has also indicated that the gut microbiota may mediate some of the beneficial effects of bariatric surgery, and changes in the composition and diversity of the gut microbiota have been observed in the short term after RYGB in humans (Furet et al., 2010; Graessler et al., 2013; Kong et al., 2013; Zhang et al., 2009), as well as after vertical sleeve gastrectomy and RYGB in mice (Liou et”
From Roux-en-Y Gastric Bypass and Vertical Banded Gastroplasty Induce Long-Term Changes on the Human Gut Microbiome Contributing to Fat Mass Regulation (2015) · cites this paper as Kong et al., 2013
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“Moreover, our results are in agreement with previous findings showing an expansion of Proteobacteria shortly after RYGB, both in humans (Furet et al., 2010; Graessler et al., 2013; Kong et al., 2013; Zhang et al., 2009) and mice (Liou et al., 2013).”
From Roux-en-Y Gastric Bypass and Vertical Banded Gastroplasty Induce Long-Term Changes on the Human Gut Microbiome Contributing to Fat Mass Regulation (2015) · cites this paper as Kong et al., 2013
In the citing paper
“Recent work has also indicated that the gut microbiota may mediate some of the beneficial effects of bariatric surgery, and changes in the composition and diversity of the gut microbiota have been observed in the short term after RYGB in humans (Furet et al., 2010; Graessler et al., 2013; Kong et al., 2013; Zhang et al., 2009), as well as after vertical sleeve gastrectomy and RYGB in mice (Liou et”
From Roux-en-Y Gastric Bypass and Vertical Banded Gastroplasty Induce Long-Term Changes on the Human Gut Microbiome Contributing to Fat Mass Regulation (2015) · cites this paper as Kong et al., 2013
Citations
Cites
Naive Bayesian Classifier for Rapid Assignment of rRNA Sequences into the New Bacterial Taxonomy
Wang, Q., Garrity, G. M., Tiedje, J. M., & Cole, J. R. (2007) · Applied and Environmental Microbiology · doi:10.1128/aem.00062-07 · Cited by 20,145
Nucleic acid techniques in bacterial systematics
Stackebrandt, E. S., & Goodfellow, M. (1991) · Wiley eBooks · Cited by 9,460
Human gut microbes associated with obesity
Ley, R. E., Turnbaugh, P. J., Klein, S., & Gordon, J. I. (2006) · Nature · doi:10.1038/4441022a · Cited by 8,785
Lane, D. (1991) · Medical Entomology and Zoology · Cited by 8,190
Human gut microbiome viewed across age and geography
Yatsunenko, T., Rey, F. E., Manary, M. J., Trehan, I., Dominguez-Bello, M. G., Contreras, M., Magris, M., Hidalgo, G., Baldassano, R. N., Anokhin, A. P., et al. (2012) · Nature · doi:10.1038/nature11053 · Cited by 7,815
De Filippo, C., Cavalieri, D., Di Paola, M., Ramazzotti, M., Poullet, J. B., Massart, S., Collini, S., Pieraccini, G., & Lionetti, P. (2010) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1005963107 · Cited by 5,579
The role of the gut microbiota in nutrition and health
Flint, H. J., Scott, K. P., Louis, P., & Duncan, S. H. (2012) · Nature Reviews Gastroenterology & Hepatology · doi:10.1038/nrgastro.2012.156 · Cited by 2,283
Human gut microbiota in obesity and after gastric bypass
Zhang, H., DiBaise, J. K., Zuccolo, A., Kudrna, D., Braidotti, M., Yu, Y., Parameswaran, P., Crowell, M. D., Wing, R., Rittmann, B. E., et al. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0812600106 · Cited by 1,880
The Ribosomal Database Project (RDP-II): sequences and tools for high-throughput rRNA analysis
Cole, J. R. (2004) · Nucleic Acids Research · doi:10.1093/nar/gki038 · Cited by 1,478
Accuracy and quality of massively parallel DNA pyrosequencing
Huse, S. M., Huber, J. A., Morrison, H. G., Sogin, M. L., & Welch, D. B. M. (2007) · Genome biology · doi:10.1186/gb-2007-8-7-r143 · Cited by 1,280
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Items 401–419 of 419
Münzker, J., Haase, N., Till, A., Sucher, R., Haange, S.-B., Nemetschke, L., Gnad, T., Jäger, E., Chen, J., Riede, S. J., et al. (2022) · Figshare · doi:10.6084/m9.figshare.20138364
Xia, X., Gong, R., & Zhang, C. (2022) · Figshare · doi:10.6084/m9.figshare.20499852
Smelt, H. J. M., Pouwels, S., Dillen-Aarts, C. C. M., Said, M., & Smulders, J. F. (2026) · Nutrition · doi:10.1016/j.nut.2026.113182
Ma, S., & Jiang, T. (2026) · Research Square · doi:10.21203/rs.3.rs-8826591/v1
Analyse des séquences des génomes bactériens en tant que source d'information taxonomique
Diop, A. (2018) · theses.fr (ABES) · doi:10.70675/3fb5012az1495z4b23z916ez5be305cae738
Evaluation du microbiote du lait maternel
Togo, A. H. (2019) · theses.fr (ABES) · doi:10.70675/303974f2za181z42e1z9480zdf8e9d35cea2
Restaurer la fonction bêta pancréatique de la souris leptine déficiente par la chirurgie bariatrique
Amouyal, C. (2019) · theses.fr (ABES) · doi:10.70675/57e90c8dz951az4b06z95cdzc78f34db6015
Etude de la perméabilité intestinale au cours de l'obésité humaine
Genser, L. (2017) · theses.fr (ABES) · doi:10.70675/b31dde1bz1941z4398zaa56z406e97d709fa
Bioinformatics and biostatistical studies of the mosaic structures of microbial genomes
Tall, M. L. (2020) · theses.fr (ABES) · doi:10.70675/fb252c16z71b2z4b3dza1ccza62d6af2142f
Microbiote intestinal et vitamines B dans l’obésité sévère : le cas de la biotine
Voland, L. (2022) · theses.fr (ABES) · doi:10.70675/3d6ab2f6z3844z4eccz9cbazdd1ace927949
Beresescu, G. F., Ion, R. M., Crișan, A.-S., & Bors, A. (2026) · Biomedicines · doi:10.3390/biomedicines14040838
Alwali, A., Thingholm, L. B., Bang, C., Beckmann, J. H., Susanne, S., Rühlemann, M. C., Laudes, M., Schafmayer, C., Franke, A., Philipp, M., et al. (2026) · Clinical Nutrition ESPEN · doi:10.1016/j.clnesp.2026.105025
How the Sleeve Gastrectomy Works: Metabolically
Kachmar, M., Schauer, P. R., Aminian, A., & Albaugh, V. L. (2025) · Springer eBooks · doi:10.1007/978-3-031-77690-8_6-1
Ezzi, M. Y. (2026) · Metabolites · doi:10.3390/metabo16100755
Alginate and Glycine Betaine Enhance Biofilm Formation in Psychrophilic Activated Sludge Systems
Ullah, N., Shao, S., Zhou, C., Li, W., & Wang, C. (2026) · Environmental Microbiology · doi:10.1111/1462-2920.70428
de Jonge, C. (2014) · Research Publications (Maastricht University) · doi:10.26481/dis.20140905cj
Malin, S. K., & Kirwan, J. P. (2014) · Molecular and integrative toxicology · doi:10.1007/978-1-4471-6539-2_16
Metadata
- Authors
- Kong, L.-C., Tap, J., Aron-Wisnewsky, J., Pelloux, V., Basdevant, A., Bouillot, J.-L., Zucker, J.-D., Doré, J., & Clément, K.
- Affiliations
- Microbiologie de l’alimentation au service de la santé (FR)
- Institut National de la Recherche Agronomique (FR)
- Assistance Publique – Hôpitaux de Paris (FR)
- Hôpital Ambroise-Paré (FR)
- Institut de Recherche pour le Développement (FR)
- Venue
- The American Journal of Clinical Nutrition
- Publisher
- Elsevier BV
- Published
- 2013-07
- Volume
- 98
- Issue
- 1
- Pages
- 16-24
- ISSN
- 0002-9165 (ISSN-L)
- OpenAlex
- W2155185912
- Cited by
- 416
- References
- 48
- Citations by year
- 2026: 8 · 2025: 16 · 2024: 30 · 2023: 22 · 2022: 44 · 2021: 34 · 2020: 43 · 2019: 38 · 2018: 35 · 2017: 38 · 2016: 34 · 2015: 39 · 2014: 30 · 2013: 5
- FWCI
- 16.11
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- American Journal of Clinical Nutrition (publishedVersion)
- PubMed (publishedVersion)
- HAL (submittedVersion)
- Funders
- Agence Nationale de la Recherche (ANR-11-DPBS-0001)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Gut microbiota and health
- Health Sciences › Medicine › Surgery › Bariatric Surgery and Outcomes
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Adipokines, Inflammation, and Metabolic Diseases
- Keywords
- gut microbiota, Roux-en-Y gastric bypass, morbid obesity, Proteobacteria, bacterial genera, weight loss, bariatric surgery, inflammation, metabolic genes
- MeSH terms
- DNA, Bacterial, Feces, Female, Follow-Up Studies, Multigene Family, Humans, Inflammation, Obesity, Morbid, RNA, Ribosomal, 16S, Gastric Bypass, Weight Loss, Nutrition Assessment, Gene Expression Regulation, Bacterial, Computational Biology, Gastrointestinal Tract, Microarray Analysis, Adipose Tissue, White, Metagenome
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