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Gut Microbiota Interacts with Markers of Adipose Tissue Browning, Insulin Action and Plasma Acetate in Morbid Obesity
Open accessAbstract
Scope: To examine the potential relationship among gene expression markers of adipose tissue browning, gut microbiota, and insulin sensitivity in humans. Methods and results: Gut microbiota composition and gene markers of browning are analyzed in subcutaneous (SAT) and visceral (VAT) adipose tissue from morbidly obese subjects (n = 34). Plasma acetate is measured through 1 H NMR and insulin sensitivity using euglycemic hyperinsulinemic clamp. Subjects with insulin resistance show an increase in the relative abundance (RA) of the phyla Bacteroidetes and Proteobacteria while RA of Firmicutes is decreased. In all subjects, Firmicutes RA is negatively correlated with HbA 1c and fasting triglycerides, whereas Proteobacteria RA was negatively correlated with insulin sensitivity. Firmicutes RA is positively associated with markers of brown adipocytes (PRDM16, UCP1, and DIO2) in SAT, but not in VAT. Multivariate regression analysis indicates that Firmicutes RA contributes significantly to SAT PRDM16, UCP1, and DIO2 mRNA variance after controlling for age, BMI, HbA 1c, or insulin sensitivity. Interestingly, Firmicutes RA, specifically those bacteria belonging to the Ruminococcaceae family, is positively associated with plasma acetate levels, which are also linked to SAT PRDM16 mRNA and insulin sensitivity. Conclusion: Gut microbiota composition is linked to adipose tissue browning and insulin action in morbidly obese subjects, possibly through circulating acetate.
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“In addition, gut microbiota also seems to play an important role as a regulator of WAT browning.”
From Mitochondrial Uncoupling: A Key Controller of Biological Processes in Physiology and Diseases (2019) · cites this paper as [247]
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“In some obese insulin-sensitive patients, a decreased level in Firmicutes is associated with the downregulation of WAT browning.”
From Mitochondrial Uncoupling: A Key Controller of Biological Processes in Physiology and Diseases (2019) · cites this paper as [247]
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“Interestingly, the Firmicutes level was found to be directly correlated with PRDM16 mRNA expression (a key transcription factor involved in BAT differentiation) and UCP-1 expression in subcutaneous and visceral WAT [247].”
From Mitochondrial Uncoupling: A Key Controller of Biological Processes in Physiology and Diseases (2019) · cites this paper as [247]
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Citations
Cites
Fast gapped-read alignment with Bowtie 2
Langmead, B., & Salzberg, S. L. (2012) · Nature Methods · doi:10.1038/nmeth.1923 · Cited by 56,400
QIIME allows analysis of high-throughput community sequencing data
Caporaso, J. G., Kuczynski, J., Stombaugh, J., Bittinger, K., Bushman, F. D., Costello, E. K., Fierer, N., Peña, A. G., Goodrich, J. K., Gordon, J. I., et al. (2010) · Nature Methods · doi:10.1038/nmeth.f.303 · Cited by 34,887
A core gut microbiome in obese and lean twins
Turnbaugh, P. J., Hamady, M., Yatsunenko, T., Cantarel, B. L., Duncan, A., Ley, R. E., Sogin, M. L., Jones, W. J., Roe, B. A., Affourtit, J. P., et al. (2009) · Nature · doi:10.1038/nature07540 · Cited by 7,823
A metagenome-wide association study of gut microbiota in type 2 diabetes
Qin, J., Li, Y., Cai, Z., Li, S., Zhu, J., Zhang, F., Liang, S., Zhang, W., Guan, Y., Shen, D., et al. (2012) · Nature · doi:10.1038/nature11450 · Cited by 6,762
Quality control and preprocessing of metagenomic datasets
Schmieder, R., & Edwards, R. A. (2011) · Bioinformatics · doi:10.1093/bioinformatics/btr026 · Cited by 5,119
Gut metagenome in European women with normal, impaired and diabetic glucose control
Karlsson, F. H., Tremaroli, V., Nookaew, I., Bergström, G., Behre, C. J., Fagerberg, B., Nielsen, J., & Bäckhed, F. (2013) · Nature · doi:10.1038/nature12198 · Cited by 3,115
Short-chain fatty acids in control of body weight and insulin sensitivity
Canfora, E. E., Jocken, J. W., & Blaak, E. E. (2015) · Nature Reviews Endocrinology · doi:10.1038/nrendo.2015.128 · Cited by 2,298
Jumpertz, R., Le, D. S., Turnbaugh, P. J., Trinidad, C., Bogardus, C., Gordon, J. I., & Krakoff, J. (2011) · The American Journal of Clinical Nutrition · doi:10.3945/ajcn.110.010132 · Cited by 1,232
Microbial community profiling for human microbiome projects: Tools, techniques, and challengesPreprint
Hamady, M., & Knight, R. D. (2009) · Genome Research · doi:10.1101/gr.085464.108 · Cited by 1,031
Cohen, P., Levy, J. D., Zhang, Y., Frontini, A., Kolodin, D., Svensson, K. J., Lo, J. C., Zeng, X., Ye, L., Khandekar, M. J., et al. (2014) · Cell · doi:10.1016/j.cell.2013.12.021 · Cited by 891
Meta‐analyses of human gut microbes associated with obesity and IBD
Walters, W. A., Xu, Z., & Knight, R. (2014) · FEBS Letters · doi:10.1016/j.febslet.2014.09.039 · Cited by 836
Gut Microbiota Orchestrates Energy Homeostasis during Cold
Chevalier, C., Stojanović, O., Colin, D. J., Suarez-Zamorano, N., Tarallo, V., Veyrat-Durebex, C., Rigo, D., Fabbiano, S., Stevanović, A., Hagemann, S., et al. (2015) · Cell · doi:10.1016/j.cell.2015.11.004 · Cited by 829
Brown and beige fat in humans: thermogenic adipocytes that control energy and glucose homeostasis
Sidossis, L. S., & Kajimura, S. (2015) · Journal of Clinical Investigation · doi:10.1172/jci78362 · Cited by 715
Li, G., Xie, C., Lu, S., Nichols, R. G., Tian, Y., Li, L., Patel, D., Ma, Y., Brocker, C. N., Yan, T., et al. (2017) · Cell Metabolism · doi:10.1016/j.cmet.2017.08.019 · Cited by 667
Exercise Modifies the Gut Microbiota with Positive Health Effects
Monda, V., Villano, I., Messina, A., Valenzano, A., Esposito, T., Moscatelli, F., Viggiano, A., Cibelli, G., Chieffi, S., Monda, M., et al. (2017) · Oxidative Medicine and Cellular Longevity · doi:10.1155/2017/3831972 · Cited by 654
Metabolic adaptation to a high-fat diet is associated with a change in the gut microbiota
Sérino, M., Luche, É., Grès, S., Baylac, A., Bergé, M., Cénac, C., Waget, A., Klopp, P., Iacovoni, J. S., Klopp, C., et al. (2011) · Gut · doi:10.1136/gutjnl-2011-301012 · Cited by 648
Self-citationLu, Y., Fan, C., Li, P., Lu, Y., Chang, X., & Qi, K. (2016) · Scientific Reports · doi:10.1038/srep37589 · Cited by 638
The gut microbiota in human energy homeostasis and obesity
Rosenbaum, M., Knight, R., & Leibel, R. L. (2015) · Trends in Endocrinology & Metabolism · doi:10.1016/j.tem.2015.07.002 · Cited by 450
Growth dynamics of gut microbiota in health and disease inferred from single metagenomic samples
Korem, T., Zeevi, D., Suez, J., Weinberger, A., Avnit-Sagi, T., Lotan‐Pompan, M., Matot, E., Jona, G., Harmelin, A., Cohen, N., et al. (2015) · Science · doi:10.1126/science.aac4812 · Cited by 445
Responses of gut microbiota to diet composition and weight loss in lean and obese mice
Ravussin, Y., Koren, O., Spor, A., LeDuc, C., Gutman, R., Stombaugh, J., Knight, R., Ley, R. E., & Leibel, R. L. (2012) · Obesity · doi:10.1038/oby.2011.111 · Cited by 406
The Gut Microbiota Modulates Energy Metabolism in the Hibernating Brown Bear Ursus arctos
Sommer, F., Ståhlman, M., Ilkayeva, O., Arnemo, J. M., Kindberg, J., Josefsson, J., Newgard, C. B., Fröbert, O., & Bäckhed, F. (2016) · Cell Reports · doi:10.1016/j.celrep.2016.01.026 · Cited by 370
The Intestinal Metabolome: An Intersection Between Microbiota and Host
Ursell, L. K., Haiser, H. J., Treuren, W. V., Garg, N., Reddivari, L., Vanamala, J., Dorrestein, P. C., Turnbaugh, P. J., & Knight, R. D. (2014) · Gastroenterology · doi:10.1053/j.gastro.2014.03.001 · Cited by 365
Exercise Effects on White Adipose Tissue: Beiging and Metabolic Adaptations
Stanford, K. I., Middelbeek, R. J. W., & Goodyear, L. J. (2015) · Diabetes · doi:10.2337/db15-0227 · Cited by 365
Canfora, E. E., van der Beek, C. M., Jocken, J. W. E., Goossens, G. H., Holst, J. J., Olde Damink, S. W. M., Lenaerts, K., Dejong, C. H. C., & Blaak, E. E. (2017) · Scientific Reports · doi:10.1038/s41598-017-02546-x · Cited by 331
Modulation of gut microbiota by antibiotics improves insulin signalling in high-fat fed mice
Carvalho, B. M., Guadagnini, D., Tsukumo, D. M. L., Schenka, A. A., Latuf-Filho, P., Vassallo, J., Dias, J. C., Kubota, L. T., Carvalheira, J. B. C., & Saad, M. J. A. (2012) · Diabetologia · doi:10.1007/s00125-012-2648-4 · Cited by 324
Pallejá, A., Kashani, A., Allin, K. H., Nielsen, T., Zhang, C., Li, Y., Brach, T., Liang, S., Feng, Q., Jørgensen, N. B., et al. (2016) · Genome Medicine · doi:10.1186/s13073-016-0312-1 · Cited by 320
Haro, C., Montes-Borrego, M., Rangel-Zúñiga, O. A., Alcala-Diaz, J. F., Gómez-Delgado, F., Pérez‐Martínez, P., Delgado‐Lista, J., Quintana‐Navarro, G. M., Tinahones, F. J., Landa, B. B., et al. (2015) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.2015-3351 · Cited by 309
Gut microorganisms as promising targets for the management of type 2 diabetes
Delzenne, N. M., Cani, P. D., Everard, A., Neyrinck, A. M., & Bindels, L. B. (2015) · Diabetologia · doi:10.1007/s00125-015-3712-7 · Cited by 271
Sahuri-Arisoylu, M., Brody, L., Parkinson, J. R. C., Parkes, H. G., Navaratnam, N., Miller, A. D., Thomas, E. L., Frost, G. S., & Bell, J. D. (2016) · International Journal of Obesity · doi:10.1038/ijo.2016.23 · Cited by 258
van der Beek, C. M., Canfora, E. E., Lenaerts, K., Troost, F. J., Olde Damink, S. W. M., Holst, J. J., Masclee, A. A. M., Dejong, C. H. C., & Blaak, E. E. (2016) · Clinical Science · doi:10.1042/cs20160263 · Cited by 230
Goffredo, M., Maas, K. R., Parks, E. J., Wagner, D. A., McClure, E. A., Graf, J., Savoye, M., Pierpont, B. M., Cline, G. W., & Santoro, N. (2016) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.2016-1797 · Cited by 188
IRF3 promotes adipose inflammation and insulin resistance and represses browning
Kumari, M., Wang, X., Lantier, L., Lyubetskaya, A., Eguchi, J., Kang, S., Tenen, D. E., Roh, H. C., Kong, X., Kazak, L., et al. (2016) · Journal of Clinical Investigation · doi:10.1172/jci86080 · Cited by 181
YAMASHITA, H., MARUTA, H., JOZUKA, M., KIMURA, R., IWABUCHI, H., YAMATO, M., SAITO, T., FUJISAWA, K., TAKAHASHI, Y., KIMOTO, M., et al. (2009) · Bioscience, Biotechnology, and Biochemistry · doi:10.1271/bbb.80634 · Cited by 146
Hu, J., Kyrou, I., Tan, B. K., Dimitriadis, G. K., Ramanjaneya, M., Tripathi, G., Patel, V. C., James, S. G., Kawan, M., Chen, J., et al. (2016) · Endocrinology · doi:10.1210/en.2015-1944 · Cited by 144
Fugmann, M., Breier, M., Rottenkolber, M., Banning, F., Ferrari, U., Sacco, V., Grallert, H., Parhofer, K. G., Seissler, J., Clavel, T., et al. (2015) · Scientific Reports · doi:10.1038/srep13212 · Cited by 131
Yamaguchi, Y., Adachi, K., Sugiyama, T., Shimozato, A., Ebi, M., Ogasawara, N., Funaki, Y., Goto, C., Sasaki, M., & Kasugai, K. (2016) · Digestion · doi:10.1159/000447690 · Cited by 120
The role of gut microbiota in human obesity: Recent findings and future perspectives
Tagliabue, A., & Elli, M. (2013) · Nutrition, Metabolism and Cardiovascular Diseases · doi:10.1016/j.numecd.2012.09.002 · Cited by 118
Insulin Resistance Modulates Iron-Related Proteins in Adipose Tissue
Moreno‐Navarrete, J. M., Novelle, M. G., Catalán, V., Ortega, F. J., Moreno, M., Gómez‐Ambrosi, J., Xifra, G., Serrano, M., Guerra, E., Ricart, W., et al. (2014) · Diabetes Care · doi:10.2337/dc13-1602 · Cited by 81
Self-citationGagen, E. J., Padmanabha, J., Denman, S. E., & McSweeney, C. S. (2015) · FEMS Microbiology Letters · doi:10.1093/femsle/fnv104 · Cited by 80
Hanatani, S., Motoshima, H., Takaki, Y., Kawasaki, S., Igata, M., Matsumura, T., Kondo, T., Senokuchi, T., Ishii, N., Kawashima, J., et al. (2016) · Journal of Clinical Biochemistry and Nutrition · doi:10.3164/jcbn.16-23 · Cited by 73
Shirouchi, B., Nagao, K., Umegatani, M., Shiraishi, A., Morita, Y., Kai, S., Yanagita, T., Ogawa, A., Kadooka, Y., & Satô, M. (2016) · British Journal Of Nutrition · doi:10.1017/s0007114516002245 · Cited by 63
Transfer of dysbiotic gut microbiota has beneficial effects on host liver metabolism
Nicolas, S., Blasco‐Baqué, V., Fournel, A., Gilleron, J., Klopp, P., Waget, A., Ceppo, F., Marlin, A., Padmanabhan, R., Iacovoni, J. S., et al. (2017) · Molecular Systems Biology · doi:10.15252/msb.20167356 · Cited by 60
Self-citationGavaldà‐Navarro, A., Moreno‐Navarrete, J. M., Quesada‐López, T., Cairó, M., Giralt, M., Fernández‐Real, J. M., & Villarroya, F. (2016) · Diabetologia · doi:10.1007/s00125-016-4028-y · Cited by 56
Self-citationMoreno‐Navarrete, J. M., Ortega, F. J., Moreno, M., Xifra, G., Ricart, W., & Fernández‐Real, J. M. (2015) · Molecular and Cellular Endocrinology · doi:10.1016/j.mce.2015.01.042 · Cited by 14
Self-citationMr. A. R. Wallace's “Australasia”
EVERETT, A. H. (1880) · Nature · doi:10.1038/021535a0 · Cited by 1
Research works printed but not linked: 1
- Pedersen H. K., 2016, Nature, 21, 535
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Liu, B., Liu, X., Liang, Z., & Wang, J. (2021) · World Journal of Gastroenterology · doi:10.3748/wjg.v27.i25.3837 · Cited by 662
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“Interestingly, the Firmicutes level was found to be directly correlated with PRDM16 mRNA expression (a key transcription factor involved in BAT differentiation) and UCP-1 expression in subcutaneous and visceral WAT [247].”
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Metadata
- Authors
- Moreno‐Navarrete, J. M., Serino, M., Blasco‐Baque, V., Azalbert, V., Barton, R. H., Cardellini, M., Latorre, J., Ortega, F., Sabater‐Masdeu, M., Burcelin, R., Dumas, M., Ricart, W., Federici, M., & Fernández‐Real, J. M.
- Affiliations
- Universitat de Girona (ES)
- Institut National de la Santé et de la Recherche Médicale (Inserm) Toulouse France
- Inserm (FR)
- Imperial College London (GB)
- University of Rome Tor Vergata (IT)
- Instituto de Salud Carlos III (ES)
- Department of Diabetes, Endocrinology and Nutrition Institut d'Investigació Biomèdica de Girona (IdIBGi) CIBEROBN (CB06/03/010) and Instituto de Salud Carlos III (ISCIII) Girona Spain
- Corresponding author
- Moreno‐Navarrete, José María
- Fernández‐Real, José Manuel
- ORCID
- Venue
- Molecular Nutrition & Food Research
- Publisher
- Wiley
- Published
- 2017-12-29
- Volume
- 62
- Issue
- 3
- ISSN
- 1613-4125 (ISSN-L)
- 1613-4133
- OpenAlex
- W2766183128
- Cited by
- 106
- References
- 45
- Citations by year
- 2026: 11 · 2025: 8 · 2024: 9 · 2023: 10 · 2022: 16 · 2021: 14 · 2020: 21 · 2019: 12 · 2018: 5
- FWCI
- 4.24
- Type
- journal article
- Language
- en
- Open access
- green
- hal.inrae.fr
- Licence
- Locations
- Molecular Nutrition & Food Research (publishedVersion)
- PubMed (publishedVersion)
- HAL (submittedVersion, other-oa)
- Cineca Institutional Research Information System (Tor Vergata University) (submittedVersion)
- Spiral (Imperial College London) (submittedVersion)
- Funders
- Instituto de Salud Carlos III (PI15/01934)
- European Regional Development Fund
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Gut microbiota and health
- Health Sciences › Medicine › Physiology (medical) › Adipose Tissue and Metabolism
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Adipokines, Inflammation, and Metabolic Diseases
- Keywords
- gut microbiota, adipose tissue browning, brown adipocytes, insulin sensitivity, insulin resistance, morbid obesity, subcutaneous adipose tissue, visceral adipose tissue, plasma acetate, Firmicutes, Ruminococcaceae, PRDM16, UCP1, DIO2, Bacteroidetes, Proteobacteria, HbA1c, fasting triglycerides
- MeSH terms
- Gastrointestinal Microbiome, Uncoupling Protein 1, Acetates, Iodothyronine Deiodinase Type II, Adipose Tissue, Adult, DNA-Binding Proteins, Female, Humans, Insulin Resistance, Iodide Peroxidase, Male, Middle Aged, Obesity, Morbid, Transcription Factors, Biomarkers, Glucose Transporter Type 4, Adipose Tissue, White, Insulin Receptor Substrate Proteins
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