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Butyrate Improves Insulin Sensitivity and Increases Energy Expenditure in Mice
Open accessAbstract
OBJECTIVE: We examined the role of butyric acid, a short-chain fatty acid formed by fermentation in the large intestine, in the regulation of insulin sensitivity in mice fed a high-fat diet. RESEARCH DESIGN AND METHODS: In dietary-obese C57BL/6J mice, sodium butyrate was administrated through diet supplementation at 5% wt/wt in the high-fat diet. Insulin sensitivity was examined with insulin tolerance testing and homeostasis model assessment for insulin resistance. Energy metabolism was monitored in a metabolic chamber. Mitochondrial function was investigated in brown adipocytes and skeletal muscle in the mice. RESULTS: On the high-fat diet, supplementation of butyrate prevented development of insulin resistance and obesity in C57BL/6 mice. Fasting blood glucose, fasting insulin, and insulin tolerance were all preserved in the treated mice. Body fat content was maintained at 10% without a reduction in food intake. Adaptive thermogenesis and fatty acid oxidation were enhanced. An increase in mitochondrial function and biogenesis was observed in skeletal muscle and brown fat. The type I fiber was enriched in skeletal muscle. Peroxisome proliferator-activated receptor-gamma coactivator-1alpha expression was elevated at mRNA and protein levels. AMP kinase and p38 activities were elevated. In the obese mice, supplementation of butyrate led to an increase in insulin sensitivity and a reduction in adiposity. CONCLUSIONS: Dietary supplementation of butyrate can prevent and treat diet-induced insulin resistance in mouse. The mechanism of butyrate action is related to promotion of energy expenditure and induction of mitochondria function.
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“For the peptides discussed in this review, beyond the role in satiety, they can be stimulated by bacterial products that come into contact with the gut epithelium [83,105,106].”
From Anxiety, depression, and the microbiome: A role for gut peptides (2018) · cites this paper as [106]
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Mootha, V. K., Lindgren, C. M., Eriksson, K.-F., Subramanian, A., Sihag, S., Lehar, J., Puigserver, P., Carlsson, E., Ridderstråle, M., Laurila, E., et al. (2003) · Nature Genetics · doi:10.1038/ng1180 · Cited by 10,197
Resveratrol improves health and survival of mice on a high-calorie diet
Baur, J. A., Pearson, K. J., Price, N. L., Jamieson, H. A., Lerin, C., Kalra, A., Prabhu, V. V., Allard, J. S., Lopez-Lluch, G., Lewis, K., et al. (2006) · Nature · doi:10.1038/nature05354 · Cited by 4,290
Lagouge, M., Argmann, C., Gerhart-Hines, Z., Meziane, H., Lerin, C., Daussin, F., Messadeq, N., Milne, J., Lambert, P., Elliott, P., et al. (2006) · Cell · doi:10.1016/j.cell.2006.11.013 · Cited by 4,057
A Cold-Inducible Coactivator of Nuclear Receptors Linked to Adaptive Thermogenesis
Puigserver, P., Wu, Z., Park, C. W., Graves, R., Wright, M., & Spiegelman, B. M. (1998) · Cell · doi:10.1016/s0092-8674(00)81410-5 · Cited by 3,864
Transcriptional co-activator PGC-1α drives the formation of slow-twitch muscle fibres
Lin, J., Wu, H., Tarr, P. T., Zhang, C.-Y., Wu, Z., Boss, O., Michael, L. F., Puigserver, P., Isotani, E., Olson, E. N., et al. (2002) · Nature · doi:10.1038/nature00904 · Cited by 2,546
AMP-activated protein kinase (AMPK) action in skeletal muscle via direct phosphorylation of PGC-1α
Jäger, S., Handschin, C., St.-Pierre, J., & Spiegelman, B. M. (2007) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0705070104 · Cited by 2,491
Bile acids induce energy expenditure by promoting intracellular thyroid hormone activation
Watanabe, M., Houten, S. M., Mataki, C., Christoffolete, M. A., Kim, B. W., Sato, H., Messaddeq, N., Harney, J. W., Ezaki, O., Kodama, T., et al. (2006) · Nature · doi:10.1038/nature04330 · Cited by 2,220
Metabolic control through the PGC-1 family of transcription coactivators
Lin, J., Handschin, C., & Spiegelman, B. M. (2005) · Cell Metabolism · doi:10.1016/j.cmet.2005.05.004 · Cited by 2,130 · cited 1×
“PGC-1 controls energy metabolism by interaction with several transcription factors, e.g., estrogen-related receptor-, nuclear respiratory factor-1 and -2, PPAR- and -, and thyroid hormone receptor, that direct gene transcription for mitochondrial biogenesis and respiration ( 8 ).”
BackgroundMitochondrial dysfunction in the elderly: possible role in insulin resistance
Petersen, K. F., Befroy, D., Dufour, S., Dziura, J., Ariyan, C., Rothman, D. L., DiPietro, L., Cline, G. W., & Shulman, G. I. (2003) · Science · doi:10.1126/science.1082889 · Cited by 2,107
Puigserver, P., & Spiegelman, B. M. (2003) · Endocrine Reviews · doi:10.1210/er.2002-0012 · Cited by 2,076
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Items 701–800 of 1,005
Linking epigenetics to lipid metabolism: Focus on histone deacetylases
Ferrari, A., Fiorino, E., Giudici, M., Gilardi, F., Galmozzi, A., Mitro, N., Cermenati, G., Godio, C., Caruso, D., Fabiani, E. D., et al. (2012) · Molecular Membrane Biology · doi:10.3109/09687688.2012.729094 · Cited by 56
Xiao, S., & Zhao, L. (2013) · FEMS Microbiology Ecology · doi:10.1111/1574-6941.12250 · Cited by 57
Early‐life exercise may promote lasting brain and metabolic health through gut bacterial metabolites
Mika, A., & Fleshner, M. (2015) · Immunology and Cell Biology · doi:10.1038/icb.2015.113 · Cited by 58
Chriett, S., Zerzaihi, O., Vidal, H., & Pirola, L. (2016) · Molecular and Cellular Endocrinology · doi:10.1016/j.mce.2016.09.006 · Cited by 56
Gut Microbiota and the Gut-Brain Axis: New Insights in the Pathophysiology of Metabolic Syndrome
de Clercq, N. C., Frissen, M. N., Groen, A. K., & Nieuwdorp, M. (2017) · Psychosomatic Medicine · doi:10.1097/psy.0000000000000495 · Cited by 55
Microbe-mitochondrion crosstalk and health: An emerging paradigm
Bajpai, P., Darra, A., & Agrawal, A. (2017) · Mitochondrion · doi:10.1016/j.mito.2017.08.008 · Cited by 57
Guo, Y., Zheng, X., Wang, Y., Yao, W., Liao, S., Yu, B., Zhang, J., Zhang, Y.-X., Zheng, B., Ren, B., et al. (2018) · Frontiers in Endocrinology · doi:10.3389/fendo.2018.00630 · Cited by 54
Self-citationMarinangeli, C. P. F., & Jones, P. J. H. (2012) · British Journal Of Nutrition · doi:10.1017/s0007114512000773 · Cited by 54
Wang, L., Jiao, T., Yu, Q., Wang, J., Wang, L., Wang, G., Zhang, H., Zhao, J., & Chen, W. (2021) · Biomedicines · doi:10.3390/biomedicines10010084 · Cited by 54
The Coexistence of Nonalcoholic Fatty Liver Disease and Type 2 Diabetes Mellitus
Kosmalski, M., Ziółkowska, S., Czarny, P. L., Szemraj, J., & Pietras, T. (2022) · Journal of Clinical Medicine · doi:10.3390/jcm11051375 · Cited by 55
Deng, K., Shuai, M., Zhang, Z., Jiang, Z., Fu, Y., Shen, L., Zheng, J., & Chen, Y. (2022) · BMC Medicine · doi:10.1186/s12916-022-02376-3 · Cited by 56
Gut microbiota metabolic reprogramming drives the development of metabolic diseases in the host
Wang, Y., Huang, B., Wei, X., Guan, Y., Li, L., Zheng, Y., & Sun, W. (2026) · Gut Microbes · doi:10.1080/19490976.2026.2644681 · Cited by 59
Kato, S.-I., Sato, K., Chida, H., Roh, S., Ohwada, S., Sato, S., Guilloteau, P., & Katoh, K. (2011) · Journal of Endocrinology · doi:10.1530/joe-11-0299 · Cited by 54
The gut microbiota: a key regulator of metabolic diseases
Yang, J., & Kweon, M. (2016) · BMB Reports · doi:10.5483/bmbrep.2016.49.10.144 · Cited by 59
Nath, A., Molnár, M. A., Csighy, A., Kőszegi, K., Galambos, I., Pásztor‐Huszár, K., Koris, A. K., & Vatai, G. N. (2018) · Medicina · doi:10.3390/medicina54060098 · Cited by 56
García-Mazcorro, J. F., Mills, D. A., Murphy, K., & Noratto, G. D. (2017) · European Journal of Nutrition · doi:10.1007/s00394-017-1523-y · Cited by 54
Zhou, J. S., Guo, P., Yu, H., Ji, H., Lai, Z. W., & Chen, Y. A. (2018) · Fish Physiology and Biochemistry · doi:10.1007/s10695-018-0561-6 · Cited by 54
Impact of Steviol Glycosides and Erythritol on the Human and Cebus apella Gut Microbiome
Mahalak, K. K., Firrman, J., Tomasula, P. M., Núñez, A., Lee, J., Bittinger, K. L., Rinaldi, W. J., & Liu, L. (2019) · Journal of Agricultural and Food Chemistry · doi:10.1021/acs.jafc.9b06181 · Cited by 54
Ban, Q., Cheng, J., Sun, X., Jiang, Y., Zhao, S., Song, X., & Guo, M. (2020) · Journal of Dairy Science · doi:10.3168/jds.2019-17700 · Cited by 58
Lee, M., Hsu, Y.-J., Ho, H.-H., Kuo, Y., Lin, W., Tsai, S., Chen, W., Lin, C.-L., & Huang, C. (2021) · Scientific Reports · doi:10.1038/s41598-021-98958-x · Cited by 54
Cutuli, D., Decandia, D., Giacovazzo, G., & Coccurello, R. (2023) · International Journal of Molecular Sciences · doi:10.3390/ijms241914686 · Cited by 61
Zadeh‐Tahmasebi, M., Duca, F. A., Rasmussen, B. A., Bauer, P. V., Côté, C. D., Filippi, B., & Lam, T. K. T. (2016) · Journal of Biological Chemistry · doi:10.1074/jbc.m116.718460 · Cited by 56
Lin, C.-L., Hsu, Y.-J., Ho, H.-H., Chang, Y.-C., Kuo, Y., Yeh, Y., Tsai, S., Chen, C., Chen, J.-F., Huang, C., et al. (2020) · Nutrients · doi:10.3390/nu12071972 · Cited by 55
Mass Spectrometry-based Metabolomics in Translational Research
Kim, S. J., Song, H. E., Lee, H. Y., & Yoo, H. J. (2021) · Advances in experimental medicine and biology · doi:10.1007/978-981-33-6064-8_19 · Cited by 52
Mechanisms linking gut microbial metabolites to insulin resistance
Jang, H. R., & Lee, H. (2021) · World Journal of Diabetes · doi:10.4239/wjd.v12.i6.730 · Cited by 54
Lee, S., Kirkland, R. A., Grunewald, Z. I., Sun, Q., Wicker, L., & Serre, C. B. D. L. (2019) · Nutrients · doi:10.3390/nu11091975 · Cited by 51
Cabello-Olmo, M., Oneca, M., Torre, P., Sáinź, N., Moreno-Aliaga, M. J., Guruceaga, E., Cano, J. V. D., Encı́o, I., Barajas, M., & Araña, M. (2019) · Nutrients · doi:10.3390/nu11102530 · Cited by 58
Dysbiosis characteristics of gut microbiota in cerebral infarction patients
Li, H., Zhang, X., Pan, D., Liu, Y., Yan, X., Tang, Y., Tao, M., Gong, L., Zhang, T., Woods, C. R., et al. (2020) · Translational Neuroscience · doi:10.1515/tnsci-2020-0117 · Cited by 52
Ruminal volatile fatty acid absorption is affected by elevated ambient temperature
Bedford, A., Beckett, L. M., Harthan, L. B., Wang, C., Jiang, N., Schramm, H. H., Guan, L. L., Daniels, K. M., Hanigan, M. D., & White, R. R. (2020) · Scientific Reports · doi:10.1038/s41598-020-69915-x · Cited by 52
The genetics of human performance
Kim, D. S., Wheeler, M. T., & Ashley, E. A. (2021) · Nature Reviews Genetics · doi:10.1038/s41576-021-00400-5 · Cited by 53
Associations between maternal obesity and offspring gut microbiome in the first year of life
Gilley, S. P., Ruebel, M. L., Sims, C. R., Zhong, Y., Turner, D., Lan, R. S.-L., Pack, L., Piccolo, B. D., Chintapalli, S. V., Abraham, A., et al. (2022) · Pediatric Obesity · doi:10.1111/ijpo.12921 · Cited by 56
Effects of gut microbiota on neurodegenerative diseases
Khatoon, S., Kalam, N., Rashid, S., & Bano, G. (2023) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2023.1145241 · Cited by 55
Choi, K. J., Yoon, M. Y., Kim, J.-E., & Yoon, S. S. (2023) · Scientific Reports · doi:10.1038/s41598-023-41160-y · Cited by 51
Xia, T., He, W., Luo, Z., Wang, K., & Tan, X. (2024) · International Journal of Biological Macromolecules · doi:10.1016/j.ijbiomac.2024.132256 · Cited by 54
Double-side role of short chain fatty acids on host health via the gut-organ axes
Gao, Y., Yao, Q., Meng, L., Wang, J., & Zheng, N. (2024) · Animal nutrition · doi:10.1016/j.aninu.2024.05.001 · Cited by 58
Marroncini, G., Naldi, L., Martinelli, S., & Amedei, A. (2024) · Biomedicines · doi:10.3390/biomedicines12071398 · Cited by 56
Mechanisms of hepatic and renal injury in lipid metabolism disorders in metabolic syndrome
Rong, J., Zhang, Z., Peng, X., Li, P., Zhao, T., & Zhong, Y. (2024) · International Journal of Biological Sciences · doi:10.7150/ijbs.100394 · Cited by 56
Li, H., Chen, X., & Li, M. (2013) · Europe PMC (PubMed Central) · Cited by 51
Effect of Dietary Bioactive Compounds on Mitochondrial and Metabolic Flexibility
Serrano, J. C. E., Cassanyé, A., Martin‐Garí, M., Granado‐Serrano, A. B., & Portero‐Otín, M. (2016) · Diseases · doi:10.3390/diseases4010014 · Cited by 53
Food Bioactive HDAC Inhibitors in the Epigenetic Regulation of Heart Failure
Evans, L. W., & Ferguson, B. S. (2018) · Nutrients · doi:10.3390/nu10081120 · Cited by 52
Antidiabetic Drugs in NAFLD: The Accomplishment of Two Goals at Once?
Tacelli, M., Celsa, C., Magro, B., Giannetti, A., Pennisi, G., Spatola, F., & Petta, S. (2018) · Pharmaceuticals · doi:10.3390/ph11040121 · Cited by 53
Transcriptional Regulation in Non-Alcoholic Fatty Liver Disease
Steensels, S., Qiao, J., & Ersoy, B. A. (2020) · Metabolites · doi:10.3390/metabo10070283 · Cited by 53
Won, S., Chen, S., Lee, S. Y., Lee, K. E., Park, K. W., & Yoon, J. (2020) · Nutrients · doi:10.3390/nu12123703 · Cited by 53
Enteric Phageome Alterations in Patients With Type 2 Diabetes
Chen, Q., Ma, X., Li, C., Shen, Y., Zhu, W., Zhang, Y., Guo, X., Zhou, J., & Liu, C. (2021) · Frontiers in Cellular and Infection Microbiology · doi:10.3389/fcimb.2020.575084 · Cited by 51
Hadi, A., Arab, A., Khalesi, S., Rafie, N., Kafeshani, M., & Kazemi, M. (2021) · Clinical Nutrition · doi:10.1016/j.clnu.2021.05.027 · Cited by 53
Epigenetic modifications in pancreas development, diabetes, and therapeutics
Kaimala, S., Kumar, C. A., Allouh, M. Z., Ansari, S. A., & Emerald, B. S. (2022) · Medicinal Research Reviews · doi:10.1002/med.21878 · Cited by 53
Dietary Fiber and Its Potential Role in Obesity: A Focus on Modulating the Gut Microbiota
Tian, S., Chu, Q., Ma, S., Ma, H., & Song, H. (2023) · Journal of Agricultural and Food Chemistry · doi:10.1021/acs.jafc.3c03923 · Cited by 53
Ganoderma lucidum, a new prebiotic agent to treat obesity?
Delzenne, N. M., & Bindels, L. B. (2015) · Nature Reviews Gastroenterology & Hepatology · doi:10.1038/nrgastro.2015.137 · Cited by 50
The immunity–diet–microbiota axis in the development of metabolic syndrome
Brandsma, E. T., Houben, T., Fu, J., Shiri‐Sverdlov, R., & Hofker, M. H. (2015) · Current Opinion in Lipidology · doi:10.1097/mol.0000000000000154 · Cited by 48
Ferrari, A., Fiorino, E., Longo, R., Barilla, S., Mitro, N., Cermenati, G., Giudici, M., Caruso, D., Mai, A., Guerrini, U., et al. (2016) · International Journal of Obesity · doi:10.1038/ijo.2016.191 · Cited by 53
Machado, A. M., da Silva, N. B. M., Chaves, J. B. P., & Alfenas, R. D. C. G. (2018) · Clinical Nutrition ESPEN · doi:10.1016/j.clnesp.2018.12.082 · Cited by 50
Lee, M., Hsu, Y.-J., Chuang, H.-L., Hsieh, P.-S., Ho, H.-H., Chen, W.-L., Chiu, Y., & Huang, C. (2019) · Nutrients · doi:10.3390/nu11092003 · Cited by 55
The Interplay between Immune System and Microbiota in Diabetes
Moffa, S., Mezza, T., CEFALO, C. M. A., Cinti, F., Impronta, F., Sorice, G. P., Santoro, A., Giuseppe, G. D., Pontecorvi, A., & Giaccari, A. (2019) · Mediators of Inflammation · doi:10.1155/2019/9367404 · Cited by 53
Effects of Nondigestible Oligosaccharides on Obesity
Nie, Q., Chen, H., Hu, J., Tan, H., Nie, S., & Xie, M. (2020) · Annual Review of Food Science and Technology · doi:10.1146/annurev-food-032519-051743 · Cited by 52
The gut microbiota as a versatile immunomodulator in obesity and associated metabolic disorders
Liébana-García, R., Olivares, M., Bullich‐Vilarrubias, C., López‐Almela, I., Romaní‐Pérez, M., & Sanz, Y. (2021) · Best Practice & Research Clinical Endocrinology & Metabolism · doi:10.1016/j.beem.2021.101542 · Cited by 51
Acetyl-CoA and Metabolite Fluxes Regulate White Adipose Tissue Expansion
Felix, J. B., Cox, A. R., & Hartig, S. M. (2021) · Trends in Endocrinology and Metabolism · doi:10.1016/j.tem.2021.02.008 · Cited by 52
Gut Microbiome in Non-Alcoholic Fatty Liver Disease: From Mechanisms to Therapeutic Role
Gupta, H., Min, B.-H., Ganesan, R., Gebru, Y. A., Sharma, S. P., Park, E., Won, S., Jeong, J., Lee, S.-B., Cha, M., et al. (2022) · Biomedicines · doi:10.3390/biomedicines10030550 · Cited by 50
Polysaccharides: The Potential Prebiotics for Metabolic Associated Fatty Liver Disease (MAFLD)
Guo, Q., Li, Y., Dai, X., Wang, B., Zhang, J., & Cao, H. (2023) · Nutrients · doi:10.3390/nu15173722 · Cited by 50
Self-citationSingh, R., Nieuwdorp, M., ten Berge, I. J. M., Bemelman, F. J., & Geerlings, S. E. (2014) · Clinical Microbiology and Infection · doi:10.1111/1469-0691.12799 · Cited by 50
de Souza, C. B., Roeselers, G., Troost, F. J., Jonkers, D. M. A. E., Koenen, M. E., & Venema, K. (2014) · Journal of Functional Foods · doi:10.1016/j.jff.2014.09.019 · Cited by 49
Sharma, S., & Taliyan, R. (2016) · Neuropharmacology · doi:10.1016/j.neuropharm.2016.01.025 · Cited by 49
Xia, F., Wen, L., Ge, B., Li, Y., Li, F., & Zhou, B. (2021) · World Journal of Diabetes · doi:10.4239/wjd.v12.i8.1146 · Cited by 55
The gut microbiota–brain axis: Role of the gut microbial metabolites of dietary food in obesity
Song, X., Wang, L., Liu, Y., Zhang, X., Weng, P., Liu, L., Zhang, R., & Wu, Z. (2022) · Food Research International · doi:10.1016/j.foodres.2022.110971 · Cited by 57
The Impact of Herbal Additives for Poultry Feed on the Fatty Acid Profile of Meat
Jachimowicz-Rogowska, K., Winiarska‐Mieczan, A., & Tomaszewska, E. (2022) · Animals · doi:10.3390/ani12091054 · Cited by 48
Oliveira, R. A., & Pamer, E. G. (2023) · Cell Host & Microbe · doi:10.1016/j.chom.2023.03.002 · Cited by 51
Theil, P. K., Jørgensen, H. J. H., Serena, A., Hendrickson, J., & Knudsen, K. E. B. (2010) · British Journal Of Nutrition · doi:10.1017/s0007114510003715 · Cited by 48
Moreno, C. L., & Mobbs, C. V. (2016) · Molecular and Cellular Endocrinology · doi:10.1016/j.mce.2016.11.013 · Cited by 50
Oral administration of short chain fatty acids could attenuate fat deposition of pigs
Jiao, A., Diao, H., Yu, B., He, J., Yu, J., Zheng, P., Huang, Z., Luo, Y., Luo, J., Mao, X., et al. (2018) · PLoS ONE · doi:10.1371/journal.pone.0196867 · Cited by 48
Potential Prebiotic Properties of Nuts and Edible Seeds and Their Relationship to Obesity
Sugizaki, C. S. D. A., & Naves, M. M. V. (2018) · Nutrients · doi:10.3390/nu10111645 · Cited by 48
Microbiome Alteration in Type 2 Diabetes Mellitus Model of Zebrafish
Okazaki, F., Zang, L., Nakayama, H., Chen, Z., Gao, Z.-J., Chiba, H., Hui, S., Aoki, T., Nishimura, N., & Shimada, Y. (2019) · Scientific Reports · doi:10.1038/s41598-018-37242-x · Cited by 48
Self-citationNanomaterials for the theranostics of obesity
Li, J., Cha, R., Luo, H., Hao, W., Zhang, Y., & Jiang, X. (2019) · Biomaterials · doi:10.1016/j.biomaterials.2019.119474 · Cited by 48
Gut microbiota and their metabolites in the progression of non-alcoholic fatty liver disease
Zhou, J., Tripathi, M., Sinha, R. A., Singh, B. K., & Yen, P. M. (2021) · Hepatoma Research · doi:10.20517/2394-5079.2020.134 · Cited by 49
Alam, M., Alam, Q., Kamal, M., Abuzenadah, A., & Haque, A. (2014) · CNS & Neurological Disorders - Drug Targets · doi:10.2174/18715273113126660151 · Cited by 47
Microbiome‐immune‐metabolic axis in the epidemic of childhood obesity: Evidence and opportunities
Kincaid, H. J., Nagpal, R., & Yadav, H. (2019) · Obesity Reviews · doi:10.1111/obr.12963 · Cited by 47
Jiao, A., Diao, H., Yu, B., He, J., Yu, J., Zheng, P., Luo, Y., Luo, J., Wang, Q., Wang, H., et al. (2020) · Animal nutrition · doi:10.1016/j.aninu.2020.05.009 · Cited by 48
Yang, L., Xie, X., Li, Y., Wu, L., Fan, C., Liang, T., Xi, Y., Yang, S., Li, H., Zhang, J., et al. (2021) · Nutrients · doi:10.3390/nu13061982 · Cited by 49
Self-citationSohn, M., Jung, H., Lee, W. S., Kim, T. H., & Lim, S. K. (2022) · Diabetes & Metabolism Journal · doi:10.4093/dmj.2021.0370 · Cited by 49
Zhao, G., Yang, L., Zhong, W., Hu, Y., Tan, Y., Ren, Z., Ban, Q., Yang, C. S., Wang, Y., & Wang, Z. (2022) · Frontiers in Nutrition · doi:10.3389/fnut.2022.857879 · Cited by 49
Wang, S., Liu, Y., Qin, S., & Yang, H. (2022) · Nutrients · doi:10.3390/nu14183727 · Cited by 49
Zou, Y., Yan, H., Li, C., Wen, F., JiZe, X.-P., Zhang, C., Liu, S., Zhao, Y., Fu, Y., Li, L., et al. (2023) · Antioxidants · doi:10.3390/antiox12091781 · Cited by 47
Li, Y. J., Li, J. L., Zhang, L., Gao, F., & Zhou, G. (2017) · Meat Science · doi:10.1016/j.meatsci.2017.04.237 · Cited by 47
Chen, Y., Yang, N., Lin, Y., Ho, S., Li, K., Lin, J., Liu, J., & Chen, M. (2018) · Scientific Reports · doi:10.1038/s41598-018-23844-y · Cited by 49
Gut microbiota: a promising target against cardiometabolic diseases
Warmbrunn, M. V., Herrema, H., Aron‐Wisnewsky, J., Soeters, M. R., van Raalte, D. H., & Nieuwdorp, M. (2020) · Expert Review of Endocrinology & Metabolism · doi:10.1080/17446651.2020.1720511 · Cited by 49
Sato, F. T., Yap, Y. A., Crisma, A. R., Portovedo, M., Murata, G. M., Hirabara, S. M., Ribeiro, W. R., Ferreira, C. M., Cruz, M. M., Pereira, J. N. B., et al. (2020) · Cells · doi:10.3390/cells9092007 · Cited by 48
Eslami, M., Bahar, A., Hemati, M., Nejad, Z. R., Mehranfar, F., Karami, S., Kobyliak, N. M., & Yousefi, B. (2020) · Diabetic Medicine · doi:10.1111/dme.14415 · Cited by 49
Wu, W., Li, Z., Qin, F., & Qiu, J. (2021) · Food & Nutrition Research · doi:10.29219/fnr.v65.4998 · Cited by 47
Ye, Q., Zeng, X., Wang, S., Zeng, X., Yang, G., Ye, C., Cai, S., Chen, M., Li, S., & Qiao, S. (2021) · The FASEB Journal · doi:10.1096/fj.202000444r · Cited by 52
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Metadata
- Authors
- Gao, Z., Yin, J., Zhang, J., Ward, R. E., Martin, R. J., Lefevre, M., Cefalu, W. T., & Ye, J.
- Affiliations
- Antioxidant and Gene Regulation Laboratory, Pennington Biomedical Research Center, Louisiana State University System, Baton Rouge, Louisiana;
- Pennington Biomedical Research Center (US)
- Utah State University (US)
- Corresponding author
- Ye, Jianping
- Venue
- Diabetes
- Publisher
- American Diabetes Association
- Published
- 2009-04-14
- Volume
- 58
- Issue
- 7
- Pages
- 1509-1517
- ISSN
- 0012-1797 (ISSN-L)
- 1939-327X
- PMC
- PMC2699871
- OpenAlex
- W2101209169
- Cited by
- 2,204
- References
- 38
- Citations by year
- 2026: 129 · 2025: 187 · 2024: 200 · 2023: 198 · 2022: 213 · 2021: 206 · 2020: 229 · 2019: 168 · 2018: 149 · 2017: 115 · 2016: 119 · 2015: 98 · 2014: 58 · 2013: 43 · 2012: 33
- FWCI
- 12.09
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Diabetes (publishedVersion, cc-by-nc-nd)
- Europe PMC (PubMed Central) (publishedVersion, cc-by-nc-nd)
- PubMed Central (publishedVersion, cc-by-nc-nd)
- PubMed (publishedVersion)
- Funders
- American Diabetes Association
- National Institutes of Health (DK072476)
- National Institute of Diabetes and Digestive and Kidney Diseases (DK072476, R56DK068036, R01DK068036, DK 68036, P30DK072476)
- National Center for Complementary and Integrative Health (P50AT002776, P50 AT02776-020002)
- 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
- butyrate, short-chain fatty acids, insulin sensitivity, insulin resistance, energy expenditure, high-fat diet, obesity, thermogenesis, mitochondrial biogenesis, brown adipose tissue, skeletal muscle, AMPK, p38 MAPK, PGC-1α, type I muscle fibers, gut fermentation, dietary supplementation
- MeSH terms
- Peroxisome Proliferator-Activated Receptor Gamma Coactivator 1-alpha, Animals, Body Temperature, Adipose Tissue, Brown, Butyrates, Dietary Fats, Energy Metabolism, Histone Deacetylases, Insulin, Insulin Resistance, Mice, Inbred C57BL, Mitochondria, Muscle, Obesity, Transcription Factors, Trans-Activators, Muscle, Skeletal, Muscle Fibers, Skeletal, Reverse Transcriptase Polymerase Chain Reaction, Metabolic Syndrome, Mice
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