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A host-microbiome interaction mediates the opposing effects of omega-6 and omega-3 fatty acids on metabolic endotoxemia
Open accessAbstract
Metabolic endotoxemia, commonly derived from gut dysbiosis, is a primary cause of chronic low grade inflammation that underlies many chronic diseases. Here we show that mice fed a diet high in omega-6 fatty acids exhibit higher levels of metabolic endotoxemia and systemic low-grade inflammation, while transgenic conversion of tissue omega-6 to omega-3 fatty acids dramatically reduces endotoxemic and inflammatory status. These opposing effects of tissue omega-6 and omega-3 fatty acids can be eliminated by antibiotic treatment and animal co-housing, suggesting the involvement of the gut microbiota. Analysis of gut microbiota and fecal transfer revealed that elevated tissue omega-3 fatty acids enhance intestinal production and secretion of intestinal alkaline phosphatase (IAP), which induces changes in the gut bacteria composition resulting in decreased lipopolysaccharide production and gut permeability and ultimately, reduced metabolic endotoxemia and inflammation. Our findings uncover an interaction between host tissue fatty acid composition and gut microbiota as a novel mechanism for the anti-inflammatory effect of omega-3 fatty acids. Given the excess of omega-6 and deficiency of omega-3 in the modern Western diet, the differential effects of tissue omega-6 and omega-3 fatty acids on gut microbiota and metabolic endotoxemia provide insight into the etiology and management of today’s health epidemics.
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Cites
An obesity-associated gut microbiome with increased capacity for energy harvest
Turnbaugh, P. J., Ley, R. E., Mahowald, M. A., Magrini, V., Mardis, E. R., & Gordon, J. I. (2006) · Nature · doi:10.1038/nature05414 · Cited by 12,444
Inflammation and metabolic disorders
Hotamisligil, G. S. (2006) · Nature · doi:10.1038/nature05485 · Cited by 9,199
Cani, P. D., Bibiloni, R., Knauf, C., Waget, A., Neyrinck, A. M., Delzenne, N. M., & Burcelin, R. (2008) · Diabetes · doi:10.2337/db07-1403 · Cited by 4,819
Induction of Colonic Regulatory T Cells by Indigenous Clostridium Species
Atarashi, K., Tanoue, T., Shima, T., Imaoka, A., Kuwahara, T., Momose, Y., Cheng, G., Yamasaki, S., Saito, T., Ohba, Y., et al. (2011) · Science · doi:10.1126/science.1198469 · Cited by 3,752
Resolving inflammation: dual anti-inflammatory and pro-resolution lipid mediators
Serhan, C. N., Chiang, N., & Van Dyke, T. E. (2008) · Nature Reviews Immunology · doi:10.1038/nri2294 · Cited by 2,932
Anhê, F. F., Roy, D., Pilon, G., Dudonné, S., Matamoros, S., Varin, T. V., Garofalo, C., Moine, Q., Desjardins, Y., Levy, E., et al. (2015) · Gut · doi:10.1136/gutjnl-2014-307142 · Cited by 1,137
Blasbalg, T. L., Hibbeln, J. R., Ramsden, C. E., Majchrzak, S. F., & Rawlings, R. R. (2011) · The American Journal of Clinical Nutrition · doi:10.3945/ajcn.110.006643 · Cited by 881
Yan, Y., Jiang, W., Spinetti, T., Tardivel, A., Castillo, R., Bourquin, C., Guarda, G., Tian, Z., Tschopp, J., & Zhou, R. (2013) · Immunity · doi:10.1016/j.immuni.2013.05.015 · Cited by 784
Erridge, C., Attina, T., Spickett, C. M., & Webb, D. J. (2007) · The American Journal of Clinical Nutrition · doi:10.1093/ajcn/86.5.1286 · Cited by 776
Gut microbiota and metabolic syndrome
Festi, D., Schiumerini, R., Eusebi, L. H., Marasco, G., Taddia, M., & Colecchia, A. (2014) · World Journal of Gastroenterology · doi:10.3748/wjg.v20.i43.16079 · Cited by 534
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Zmora, N., Suez, J., & Elinav, E. (2019) · Nature Reviews Gastroenterology & Hepatology · doi:10.1038/s41575-018-0061-2 · Cited by 1,792
Impact of Omega-3 Fatty Acids on the Gut Microbiota
Costantini, L., Molinari, R., Farinon, B., & Merendino, N. (2017) · International Journal of Molecular Sciences · doi:10.3390/ijms18122645 · Cited by 741
Watson, H., Mitra, S., Croden, F. C., Taylor, M., Wood, H. M., Perry, S. L., Spencer, J. A., Quirke, P., Toogood, G. J., Lawton, C. L., et al. (2018) · Gut · doi:10.1136/gutjnl-2017-314968 · Cited by 506
Environmental Factors, Gut Microbiota, and Colorectal Cancer Prevention
Song, M., & Chan, A. T. (2019) · Clinical Gastroenterology and Hepatology · doi:10.1016/j.cgh.2018.07.012 · Cited by 355
Robertson, R. C., Seira Oriach, C., Murphy, K., Moloney, G. M., Cryan, J. F., Dinan, T. G., Paul Ross, R., & Stanton, C. (2017) · Brain Behavior and Immunity · doi:10.1016/j.bbi.2016.07.145 · Cited by 268
Menni, C., Zierer, J., Pallister, T., Jackson, M. A., Long, T., Mohney, R. P., Steves, C. J., Spector, T. D., & Valdes, A. M. (2017) · Scientific Reports · doi:10.1038/s41598-017-10382-2 · Cited by 237
The role of the gut microbiota in dietary interventions for depression and anxiety
Bear, T. L. K., Dalziel, J. E., Coad, J., Roy, N. C., Butts, C. A., & Gopal, P. K. (2020) · Advances in Nutrition · doi:10.1093/advances/nmaa016 · Cited by 229
The Effects of the Mediterranean Diet on Health and Gut Microbiota
Barber, T. M., Kabisch, S., Pfeiffer, A. F. H., & Weickert, M. O. (2023) · Nutrients · doi:10.3390/nu15092150 · Cited by 213
Cenit, M. C., Nuevo, I. C., Codoñer-Franch, P., Dinan, T. G., & Sanz, Y. (2017) · European Child & Adolescent Psychiatry · doi:10.1007/s00787-017-0969-z · Cited by 163
Madore, C., Leyrolle, Q., Lacabanne, C., Benmamar-Badel, A., Joffre, C., Nadjar, A., & Layé, S. (2016) · Neural Plasticity · doi:10.1155/2016/3597209 · Cited by 141
Röytiö, H., Mokkala, K., Vahlberg, T., & Laitinen, K. (2017) · British Journal Of Nutrition · doi:10.1017/s0007114517002100 · Cited by 128
Planetary Health: From the Wellspring of Holistic Medicine to Personal and Public Health Imperative
Prescott, S. L., & Logan, A. C. (2019) · EXPLORE · doi:10.1016/j.explore.2018.09.002 · Cited by 118
Davis, D. J., Hecht, P. M., Jasarevic, E., Beversdorf, D. Q., Will, M. J., Fritsche, K., & Gillespie, C. H. (2017) · Brain, Behavior, and Immunity · doi:10.1016/j.bbi.2016.09.003 · Cited by 112
Bidu, C., Escoula, Q., Bellenger, S., Spor, A., Galan, M., Geissler, A., Bouchot, A., Dardevet, D., Morio, B., Cani, P. D., et al. (2018) · Diabetes · doi:10.2337/db17-1488 · Cited by 90
Zhang, Y., Shen, Y., Liufu, N., Liu, L., Li, W., Shi, Z., Zheng, H., Mei, X., Chen, C.-Y., Jiang, Z., et al. (2023) · Molecular Psychiatry · doi:10.1038/s41380-023-02216-7 · Cited by 83
Self-citationOmega-3 Fatty Acids and Adipose Tissue: Inflammation and Browning
Kalupahana, N. S., Goonapienuwala, B. L., & Moustaid-Moussa, N. (2020) · Annual Review of Nutrition · doi:10.1146/annurev-nutr-122319-034142 · Cited by 72
Kaliannan, K., Wang, B., Li, X.-Y., Bhan, A. K., & Kang, J. X. (2016) · International Journal of Obesity · doi:10.1038/ijo.2016.27 · Cited by 61
Self-citationBilal, M., Ashraf, S., & Zhao, X. (2022) · Frontiers in Nutrition · doi:10.3389/fnut.2022.931458 · Cited by 58
Nutrition, gut microbiota, and alzheimer’s disease
Romanenko, M., Kholin, V., Koliada, A., & Vaiserman, A. (2021) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2021.712673 · Cited by 56
What’s bugging your teen?—The microbiota and adolescent mental health
McVey Neufeld, K.-A., Luczynski, P., Seira Oriach, C., Dinan, T. G., & Cryan, J. F. (2016) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2016.06.005 · Cited by 56
Ramos-Romero, S., Hereu, M., Atienza, L., Casas, J., Jáuregui, O., Amézqueta, S., Dasilva, G., Medina, I., Nogués, M. R., Romeu, M., et al. (2018) · American Journal of Physiology-Endocrinology and Metabolism · doi:10.1152/ajpendo.00323.2017 · Cited by 52
Patrone, V., Minuti, A., Lizier, M., Miragoli, F., Lucchini, F., Trevisi, E., Rossi, F., & Callegari, M. L. (2018) · BMC Genomics · doi:10.1186/s12864-018-5202-z · Cited by 47
Metadata
- Authors
- Kaliannan, K., Wang, B., Li, X.-Y., Kim, K.-J., & Kang, J. X.
- Venue
- Scientific Reports
- Published
- 2015-06-11
- Volume
- 5
- Issue
- 1
- Pages
- 11276-11276
- ISSN
- 2045-2322 (ISSN-L)
- OpenAlex
- W560330100
- Cited by
- 357
- References
- 15
- FWCI
- 11.32
- Type
- journal article
- Language
- en
- Open access
- gold
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