β-aminoisobutyric acid attenuates LPS-induced inflammation and insulin resistance in adipocytes through AMPK-mediated pathway
Open accessAbstract
BACKGROUND: β-aminoisobutyric acid (BAIBA) is produced in skeletal muscle during exercise and has beneficial effects on obesity-related metabolic disorders such as diabetes and non-alcoholic fatty liver disease. Thus, it is supposed to prevent high fat diet (HFD)-induced inflammation and insulin resistance in adipose tissue though anti-inflammatory effects in obesity. Previous reports have also demonstrated strong anti-inflammatory effects of BAIBA. METHODS: We used BAIBA treated fully differentiated 3T3T-L1 mouse adipocytes to investigate the effects of exogenous BAIBA on inflammation and insulin signaling in adipocytes. Insulin signaling-mediated proteins and inflammation markers were measured by Western blot analysis. Secretion of pro-inflammatory cytokines were measured by ELISA. Lipid accumulation in differentiated 3 T3-L1 cells was stained by Oil red-O. Statistical analysis was performed by ANOVA and student's t test. RESULTS: BAIBA treatment suppressed adipogenesis assessed by adipogenic markers as well as lipid accumulation after full differentiation. We showed that BAIBA treatment stimulated AMP-activated protein kinase (AMPK) phosphorylation in a dose-dependent manner and lipopolysaccharide (LPS)-induced secretion of pro-inflammatory cytokines such as TNFα and MCP-1 was abrogated in BAIBA-treated 3 T3-L1 cells. Treatment of 3 T3-L1 cells with BAIBA reduced LPS-induced NFκB and IκB phosphorylation. Furthermore, BAIBA treatment ameliorated LPS-induced impairment of insulin signaling measured by IRS-1 and Akt phosphorylation and fatty acid oxidation. Suppression of AMPK by small interfering (si) RNA significantly restored these changes. CONCLUSIONS: We demonstrated anti-inflammatory and anti-insulin resistance effects of BAIBA in differentiated 3 T3-L1 cells treated with LPS through AMPK-dependent signaling. These results provide evidence for the beneficial effects of BAIBA not only in liver and skeletal muscle cells but also in adipose tissue.
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BAIBA promotes increased visceral adipose tissue lipolysis, increased free fatty acid oxidation, and glucose uptake in skeletal muscle.
“BAIBA promotes increased VAT lipolysis, increased FFA oxidation, and glucose uptake in SkM [110,111,112].”
From The Role of Exercise in the Interplay between Myokines, Hepatokines, Osteokines, Adipokines, and Modulation of Inflammation for Energy Substrate Redistribution and Fat Mass Loss: A Review (2020) · cites this paper as [110]
The Discussion (page unavailable) reports that BAIBA stimulates fatty acid oxidation in skeletal muscle, citing earlier work. The Results and Discussion report increased fatty acid oxidation and glucose uptake in adipocytes, not glucose uptake in skeletal muscle. No passage establishes that BAIBA increases visceral adipose tissue lipolysis. (LLM, conf=0.86)
Experimental — accuracy not yet measuredThe myokines METRNL and BAIBA have proven to suppress TNF-α and other proinflammatory cytokines both in vitro and in vivo.
“Similarly, the myokines METRNL [100] and BAIBA [110] have proven to suppress TNF-α and other proinflammatory cytokines both in vitro and in vivo (5).”
From The Role of Exercise in the Interplay between Myokines, Hepatokines, Osteokines, Adipokines, and Modulation of Inflammation for Energy Substrate Redistribution and Fat Mass Loss: A Review (2020) · cites this paper as [110]
The Results section reports that BAIBA suppressed LPS-induced TNFα and MCP-1 secretion in cultured 3T3-L1 adipocytes, supporting the in vitro BAIBA claim. The Background mentions reduced inflammation in BAIBA-treated mice, but does not establish that TNFα and other cytokines were suppressed in vivo. This citation is attached to BAIBA, not METRNL. (LLM, conf=0.88)
Experimental — accuracy not yet measuredBAIBA regulation is mediated through AMPK signaling and plays an important role in several pathologies.
“The regulation of BAIBA is mediated through AMPK signaling, and plays an important role in several pathologies.”
From Physical Exercise-Induced Myokines and Muscle-Adipose Tissue Crosstalk: A Review of Current Knowledge and the Implications for Health and Metabolic Diseases (2018) · cites this paper as Jung et al., 2018
The Results and Conclusion report that BAIBA activates AMPK and that its effects on inflammation and insulin resistance in adipocytes are mediated through AMPK signaling. They do not show that AMPK regulates BAIBA itself; the Conclusion also limits the proposed relevance chiefly to obesity-associated metabolic disorders, rather than pathologies generally. (LLM, conf=0.83)
Experimental — accuracy not yet measuredBAIBA has an important therapeutic role against obesity, mainly by stimulating fatty acid oxidation, reducing lipogenesis in white adipose tissue, and attenuating inflammation and insulin resistance.
“BAIBA also has an important therapeutic role against obesity (Ginter and Simko, 2014), mainly by stimulating the oxidation of fatty acids, reducing the process of lipogenesis in WAT, and attenuating inflammation and insulin resistance (Jung et al., 2018).”
From Physical Exercise-Induced Myokines and Muscle-Adipose Tissue Crosstalk: A Review of Current Knowledge and the Implications for Health and Metabolic Diseases (2018) · cites this paper as Jung et al., 2018
The Discussion and Conclusion report that BAIBA stimulates fatty acid oxidation, suppresses lipogenic markers, and attenuates LPS-induced inflammation and insulin resistance in cultured adipocytes. They do not establish reduced lipogenesis in white adipose tissue in vivo; the broader therapeutic-role claim is cited separately to Ginter and Simko. (LLM, conf=0.84)
Experimental — accuracy not yet measuredBAIBA attenuates hepatic apoptosis by reducing ER stress in hyperlipidemia and improves renal fibrosis.
“In addition to obesity, BAIBA is reported to attenuate hepatic apoptosis by reducing ER stress on hyperlipidemia and improving renal fibrosis (Jung et al., 2018).”
From Physical Exercise-Induced Myokines and Muscle-Adipose Tissue Crosstalk: A Review of Current Knowledge and the Implications for Health and Metabolic Diseases (2018) · cites this paper as Jung et al., 2018
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Cites
Obesity is associated with macrophage accumulation in adipose tissue
Weisberg, S. P., McCann, D., Desai, M., Rosenbaum, M., Leibel, R. L., & Ferrante, A. W. (2003) · Journal of Clinical Investigation · doi:10.1172/jci200319246 · Cited by 10,041 · see citing works
Adipose Expression of Tumor Necrosis Factor-α: Direct Role in Obesity-Linked Insulin Resistance
Hotamisligil, G. S., Shargill, N. S., & Spiegelman, B. M. (1993) · Science · doi:10.1126/science.7678183 · Cited by 7,518 · see citing works
Xu, H., Barnes, G. T., Yang, Q., Tan, G., Yang, D., Chou, C. J., Sole, J., Nichols, A., Ross, J. S., Tartaglia, L. A., et al. (2003) · Journal of Clinical Investigation · doi:10.1172/jci200319451 · Cited by 6,760 · see citing works
Kim, H. J., Park, S. Y., Choi, Y. J., Han, S. J., Lee, K. W., & Kim, D. J. (2013) · Hormone Research in Paediatrics · doi:10.1159/000348848 · Cited by 3,061 · see citing works
Self-citationSubcutaneous Adipose Tissue Releases Interleukin-6, But Not Tumor Necrosis Factor-α,in Vivo1
Mohamed‐Ali, V., Goodrick, S., Rawesh, A., Katz, D. R., Miles, J. M., Yudkin, J. S., Klein, S., & Coppack, S. W. (1997) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jcem.82.12.4450 · Cited by 2,012 · see citing works
Koves, T. R., Ussher, J. R., Noland, R. C., Slentz, D., Mosedale, M., Ilkayeva, O., Bain, J., Stevens, R., Dyck, J. R. B., Newgard, C. B., et al. (2008) · Cell Metabolism · doi:10.1016/j.cmet.2007.10.013 · Cited by 1,990 · see citing works
Role of Fatty Acids in the Pathogenesis of Insulin Resistance and NIDDM
Boden, G. (1997) · Diabetes · doi:10.2337/diab.46.1.3 · Cited by 1,728 · see citing works
AMP-activated protein kinase: an energy sensor that regulates all aspects of cell function
Hardie, D. G. (2011) · Genes & Development · doi:10.1101/gad.17420111 · Cited by 1,638 · see citing works
Adipose tissue dysfunction in obesity, diabetes, and vascular diseases
Hajer, G. R., van Haeften, T. W., & Visseren, F. L. J. (2008) · European Heart Journal · doi:10.1093/eurheartj/ehn387 · Cited by 1,410 · see citing works
Macrophage-mediated inflammation in metabolic disease
Chawla, A., Nguyen, K. D., & Goh, Y. P. S. (2011) · Nature reviews. Immunology · doi:10.1038/nri3071 · Cited by 1,314 · see citing works
Inflammation and insulin resistance
de Luca, C., & Olefsky, J. M. (2008) · FEBS Letters · doi:10.1016/j.febslet.2007.11.057 · Cited by 1,161 · see citing works
AMPK: An Emerging Drug Target for Diabetes and the Metabolic Syndrome
Zhang, B. B., Zhou, G., & Li, C. (2009) · Cell Metabolism · doi:10.1016/j.cmet.2009.03.012 · Cited by 1,028 · see citing works
Lumeng, C. N.-K., DelProposto, J. B., Westcott, D. J., & Saltiel, A. R. (2008) · Diabetes · doi:10.2337/db08-0872 · Cited by 919 · see citing works
Salminen, A., Hyttinen, J. M. T., & Kaarniranta, K. (2011) · Journal of Molecular Medicine · doi:10.1007/s00109-011-0748-0 · Cited by 866 · see citing works
Serine Phosphorylation of Insulin Receptor Substrate 1 by Inhibitor κB Kinase Complex
Gao, Z., Hwang, D. H., Bataille, F., Lefevre, M., York, D. A., Quon, M. J., & Ye, J. (2002) · Journal of Biological Chemistry · doi:10.1074/jbc.m209459200 · Cited by 777 · see citing works
Adipose Tissue Dysfunction in Obesity
Blüher, M. (2009) · Experimental and Clinical Endocrinology & Diabetes · doi:10.1055/s-0029-1192044 · Cited by 657 · see citing works
Roberts, L. D., Boström, P., O’Sullivan, J. F., Schinzel, R. T., Lewis, G. D., Dejam, A., Lee, Y.-K., Palma, M. J., Calhoun, S., Georgiadi, A., et al. (2014) · Cell Metabolism · doi:10.1016/j.cmet.2013.12.003 · Cited by 643 · see citing works
State of the art paper Sulfonylureas and their use in clinical practice
Sola, D., Rossi, L., Schianca, G. P. C., Maffioli, P., Bigliocca, M., Mella, R., Corlianò, F., Fra, G. P., Bartoli, E., & Derosa, G. (2015) · Archives of Medical Science · doi:10.5114/aoms.2015.53304 · Cited by 514 · see citing works
Huh, J. Y., Park, Y. J., Ham, M., & Kim, J. B. (2014) · Molecules and Cells · doi:10.14348/molcells.2014.0074 · Cited by 416 · see citing works
Ser/Thr Phosphorylation of IRS Proteins: A Molecular Basis for Insulin Resistance
Zick, Y. (2005) · Science s STKE · doi:10.1126/stke.2682005pe4 · Cited by 320 · see citing works
Iglesias, M. A., Ye, J.-M., Frangioudakis, G., Saha, A. K., Tomas, E., Ruderman, N. B., Cooney, G. J., & Kraegen, E. W. (2002) · Diabetes · doi:10.2337/diabetes.51.10.2886 · Cited by 290 · see citing works
Malandrino, M. I., Fucho, R., Weber, M., Calderón‐Domínguez, M., Mir, J. F., Valcárcel-Jiménez, L., Escoté, X., Gómez‐Serrano, M., Peral, B., Salvadó, L., et al. (2015) · American Journal of Physiology-Endocrinology and Metabolism · doi:10.1152/ajpendo.00362.2014 · Cited by 200 · see citing works
Jung, T. W., Hwang, H.-J., Hong, H. C., Yoo, H. J., Baik, S. H., & Choi, K. M. (2015) · Diabetologia · doi:10.1007/s00125-015-3663-z · Cited by 145 · see citing works
Self-citationKjøbsted, R., Treebak, J. T., Fentz, J., Lantier, L., Viollet, B., Birk, J. B., Schjerling, P., Björnholm, M., Zierath, J. R., & Wojtaszewski, J. F. P. (2014) · Diabetes · doi:10.2337/db14-1402 · Cited by 135 · see citing works
Akt-1 Expression Level Regulates CNS Precursors
Sinor, A. D., & Lillien, L. E. (2004) · Journal of Neuroscience · doi:10.1523/jneurosci.1470-04.2004 · Cited by 118 · see citing works
Shi, C.-X., Zhao, M.-X., Shu, X.-D., Xiong, X.-Q., Wang, J.-J., Gao, X.-Y., Chen, Q., Li, Y.-H., Kang, Y.-M., & Zhu, G.-Q. (2016) · Scientific Reports · doi:10.1038/srep21924 · Cited by 108 · see citing works
Caton, P., Kieswich, J. E., Yaqoob, M. M., Holness, M. J., & Sugden, M. C. (2011) · Diabetes Obesity and Metabolism · doi:10.1111/j.1463-1326.2011.01466.x · Cited by 101 · see citing works
β‐Aminoisobutyric Acid Prevents Diet‐induced Obesity in Mice With Partial Leptin Deficiency
Begriche, K., Massart, J., Abbey‐Toby, A., Igoudjil, A., Lettéron, P., & Fromenty, B. (2008) · Obesity · doi:10.1038/oby.2008.337 · Cited by 99 · see citing works
Osler, M. E., & Zierath, J. R. (2007) · Endocrinology · doi:10.1210/en.2007-1441 · Cited by 71 · see citing works
Yang, Z., Wang, X., He, Y., Qi, L., Yu, L., Xue, B., & Shi, H. (2012) · PLoS ONE · doi:10.1371/journal.pone.0049935 · Cited by 56 · see citing works
Guo, S. (2013) · Drug Discovery Today Disease Mechanisms · doi:10.1016/j.ddmec.2013.06.003 · Cited by 55 · see citing works
Metformin-Induced Hepatotoxicity
Miralles-Linares, F., Puerta-Fernandez, S., Bernal-López, M. R., et al. (2012) · Diabetes Care · doi:10.2337/dc11-2306 · Cited by 54 · see citing works
Activation of AMPK by berberine promotes adiponectin multimerization in 3T3-L1 adipocytes
Li, Y., Wang, P., Zhuang, Y., Lin, H., Li, Y., Liu, L., Meng, Q., Cui, T., Liu, J., & Li, Z. (2011) · FEBS Letters · doi:10.1016/j.febslet.2011.04.051 · Cited by 48 · see citing works
Liong, S., & Lappas, M. (2015) · Journal of physiology and biochemistry · doi:10.1007/s13105-015-0435-7 · Cited by 44 · see citing works
Inukai, K., Watanabe, M., Nakashima, Y., Takata, N., Isoyama, A., Sawa, T., Kurihara, S., Awata, T., & Katayama, S. (2005) · Biochemical and Biophysical Research Communications · doi:10.1016/j.bbrc.2004.12.190 · Cited by 44 · see citing works
Wang, H., Qian, J., Zhao, X., Xing, C., & Sun, B. (2017) · Journal of Pharmacological Sciences · doi:10.1016/j.jphs.2016.12.005 · Cited by 38 · see citing works
Kanda, Y., Matsuda, M., Tawaramoto, K., et al. (2008) · Diabetes Research and Clinical Practice · doi:10.1016/j.diabres.2008.01.031 · Cited by 28 · see citing works
Wu, W., Tang, S., JUNFENG, S., WENWEN, Y., SHU, C., Bu, R., DALONG, Z., & Bi, Y. (2015) · International Journal of Molecular Medicine · doi:10.3892/ijmm.2015.2187 · Cited by 27 · see citing works
Effects of exercise on the development of atherosclerosis in apolipoprotein E-deficient mice.
Okabe, T.-A., Kishimoto, C., Murayama, T., Yokode, M., & Kita, T. (2006) · PubMed Central · Cited by 19 · see citing works
Lipoic acid inhibits adiponectin production in 3T3-L1 adipocytes
Prieto-Hontoria, P. L., Fernández‐Galilea, M., Pérez‐Matute, P., et al. (2013) · Journal of Physiology and Biochemistry · doi:10.1007/s13105-012-0230-7 · Cited by 14 · see citing works
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Leal, L. G., Lopes, M. A., & Batista, M. L. (2018) · Frontiers in Physiology · doi:10.3389/fphys.2018.01307 · Cited by 382 · see citing works
Gonzalez-Gil, A. M., & Elizondo-Montemayor, L. (2020) · Nutrients · doi:10.3390/nu12061899 · Cited by 278 · see citing works
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Tanianskii, D. A., Jarzebska, N., Birkenfeld, A. L., O’Sullivan, J. F., & Rodionov, R. N. (2019) · Nutrients · doi:10.3390/nu11030524 · Cited by 121 · see citing works
Sarcopenic obesity: Myokines as potential diagnostic biomarkers and therapeutic targets?
Guo, A., Li, K., & Xiao, Q. (2020) · Experimental Gerontology · doi:10.1016/j.exger.2020.111022 · Cited by 83 · see citing works
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Park, B. S., Tu, T. H., Lee, H., Jeong, D. Y., Yang, S., Lee, B. J., & Kim, J. G. (2019) · Cells · doi:10.3390/cells8121609 · Cited by 22 · see citing works
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Zheng, J., Xiao, H., Duan, Y., Song, B., Zheng, C., Guo, Q., Li, F., & Li, T. (2021) · Food & Function · doi:10.1039/d1fo00780g · Cited by 20 · see citing works
Wang, N., Zhu, S., Chen, S., Zou, J., Zeng, P., & Tan, S. (2025) · Reviews in the Neurosciences · doi:10.1515/revneuro-2024-0147 · Cited by 12 · see citing works
- Authors
- Jung, T. W., Park, H. S., Choi, G. H., Kim, D., & Lee, T.
- Affiliations
- Seoul National University (KR)
- Corresponding author
- Lee, Taeseung
- Venue
- Journal of Biomedical Science
- Published
- 2018-03-28
- Volume
- 25
- Issue
- 1
- Pages
- 27-27
- ISSN
- 1021-7770 (ISSN-L)
- 1423-0127
- PMC
- PMC5875012
- OpenAlex
- W2794526384
- Cited by
- 137
- References
- 40
- Citations by year
- 2026: 10 · 2025: 25 · 2024: 22 · 2023: 24 · 2022: 24 · 2021: 9 · 2020: 9 · 2019: 11 · 2018: 3
- FWCI
- 6.25
- Type
- journal article
- Language
- en
- Open access
- diamond
- doi.org
- Licence
- Locations
- Journal of Biomedical Science (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Seoul National University Open Repository (Seoul National University) (submittedVersion)
- Funders
- National Research Foundation of Korea (2016R1C1B2012674)
- Topics
- Health Sciences › Medicine › Epidemiology › Adipokines, Inflammation, and Metabolic Diseases
- Health Sciences › Medicine › Physiology › Adipose Tissue and Metabolism
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Peroxisome Proliferator-Activated Receptors
- Keywords
- beta-aminoisobutyric acid, AMPK, insulin resistance, adipocyte inflammation, lipopolysaccharide, 3T3-L1 adipocytes, adipogenesis, inflammatory cytokines, NF-κB signaling, insulin signaling, IRS-1, Akt, fatty acid oxidation, obesity
- MeSH terms
- Aminoisobutyric Acids, Animals, Inflammation, Insulin Resistance, Lipopolysaccharides, Signal Transduction, Adipocytes, 3T3-L1 Cells, Mice, AMP-Activated Protein Kinases
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