The DOI matches its Crossref record; 35 of the 35 references it cites were found in a registry or an index.
BAIBA attenuates insulin resistance and inflammation induced by palmitate or a high fat diet via an AMPK–PPARδ-dependent pathway in mice
Open accessAbstract
Aims/hypothesis We explored the effects of β-aminoisobutyric acid (BAIBA) on hyperlipidaemic-condition-induced insulin resistance and inflammation as mediated through a signalling pathway involving AMP-activated protein kinase (AMPK) and peroxisome proliferator-activated receptor δ (PPARδ). Methods Mouse skeletal muscle C2C12 cells and C57BL/6J mice were treated with palmitate or a high-fat diet (HFD) and BAIBA. Inflammation and the expression of genes associated with insulin signalling were determined by western blot and quantitative real-time PCR. Selected genes from candidate pathways were evaluated by small interfering (si)RNA knockdown and specific inhibitors. Results BAIBA treatment ameliorated impairment of insulin receptor substrate (IRS)-1/Akt-mediated insulin signalling in palmitate-treated C2C12 myocytes and in skeletal muscle of HFD-fed mice. In addition, BAIBA treatment reversed HFD-induced increases in body weight and improved impaired glucose tolerance in mice. In vitro and in vivo, inhibitory κBα (IκBα) phosphorylation, nuclear factor κB (NFκB) nuclear translocation and downstream inflammatory cytokines were significantly suppressed by BAIBA. Furthermore, BAIBA treatment significantly induced AMPK phosphorylation and expression of PPARδ in C2C12 myocytes and in skeletal muscle of mice. Both compound C, an AMPK inhibitor, and Pparδ (also known as Ppard) siRNA abrogated the inhibitory effects of BAIBA on palmitate-induced inflammation and insulin resistance. BAIBA significantly induced the expression of genes associated with fatty acid oxidation, such as carnitine palmitoyltransferase 1 (Cpt1), acyl-CoA oxidase (Aco; also known as Acox1) and fatty acid binding protein 3 (Fabp3); this effect of BAIBA was significantly reduced by compound C and Pparδ siRNA. Conclusions/interpretation These results are the first to demonstrate that BAIBA attenuates insulin resistance, suppresses inflammation and induces fatty acid oxidation via the AMPK-PPARδ pathway in skeletal muscle.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“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 [111]
Experimental — accuracy not yet measuredThe cited source says what the claim attributes to it.
In the citing paper
“For example, β‐aminoisobutyric acid (BAIBA), a novel exercise‐induced muscle factor, attenuates insulin resistance, improves glucose tolerance, and promotes the browning of white adipose tissue (WAT) and hepatic β‐oxidation (Roberts et al, 2014; Jung et al, 2015).”
From Exercise‐induced α‐ketoglutaric acid stimulates muscle hypertrophy and fat loss through OXGR1‐dependent adrenal activation (2020) · cites this paper as Jung et al, 2015
In the citing paper
“In another study using C2C12 mouse myocytes and a wild-type mouse model (palmitate or high-fat diet exposure), BAIBA treatment attenuated insulin resistance, reduced inflammation and increased fatty acid oxidation through AMP-activated protein kinase (AMPK) and a AMPK-PPARδ-dependent pathway in skeletal muscle113.”
From Exerkines in health, resilience and disease (2022) · cites this paper as [113]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
2 retracted
Activation of Protein Phosphatase 2A by Palmitate Inhibits AMP-activated Protein Kinase
Wu, Y., Song, P., Xu, J., Zhang, M., & Zou, M. (2007) · Journal of Biological Chemistry · doi:10.1074/jbc.m608310200 · Cited by 283
RetractedDong, Y., Zhang, M., Wang, S., Liang, B., Zhao, Z., Liu, C., Wu, M., Choi, H. C., Lyons, T. J., & Zou, M. (2010) · Diabetes · doi:10.2337/db09-1637 · Cited by 187
RetractedInflammation and insulin resistance
Shoelson, S. E. (2006) · Journal of Clinical Investigation · doi:10.1172/jci29069 · Cited by 4,769
Thioredoxin-interacting protein links oxidative stress to inflammasome activation
Zhou, R., Tardivel, A., Thorens, B., Choi, I., & Tschopp, J. (2010) · Nature Immunology · doi:10.1038/ni.1831 · Cited by 2,708
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
Kern, P. A., Ranganathan, S., Li, C., Wood, L., & Ranganathan, G. (2001) · American Journal of Physiology-Endocrinology and Metabolism · doi:10.1152/ajpendo.2001.280.5.e745 · Cited by 1,883
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
Pickup, J. C., Mattock, M. B., Chusney, G. D., & Burt, D. J. (1997) · Diabetologia · doi:10.1007/s001250050822 · Cited by 1,246
AMPK and PPARδ Agonists Are Exercise Mimetics
Narkar, V. A., Downes, M., Yu, R. T., Embler, E., Wang, Y.-X., Banayo, E., Mihaylova, M. M., Nelson, M. C., Zou, Y., Juguilon, H., et al. (2008) · Cell · doi:10.1016/j.cell.2008.06.051 · Cited by 1,222
Brown adipose tissue regulates glucose homeostasis and insulin sensitivity
Stanford, K. I., Middelbeek, R. J. W., Townsend, K. L., An, D., Nygaard, E. B., Hitchcox, K. M., Markan, K. R., Nakano, K., Hirshman, M. F., Tseng, Y.-H., et al. (2013) · Journal of Clinical Investigation · doi:10.1172/jci62308 · Cited by 1,180
Cited by
Sorted by citations
Exerkines in health, resilience and disease
Chow, L. S., Gerszten, R. E., Taylor, J. M., Pedersen, B. K., van Praag, H., Trappe, S., Febbraio, M. A., Galis, Z. S., Gao, Y., Haus, J. M., et al. (2022) · Nature Reviews Endocrinology · doi:10.1038/s41574-022-00641-2 · Cited by 927
Gonzalez-Gil, A. M., & Elizondo-Montemayor, L. (2020) · Nutrients · doi:10.3390/nu12061899 · Cited by 278
Bilski, J., Pierzchalski, P., Szczepanik, M., Bonior, J., & Zoladz, J. A. (2022) · Cells · doi:10.3390/cells11010160 · Cited by 271
The role of exercise-induced myokines in regulating metabolism
Huh, J. Y. (2018) · Archives of Pharmacal Research · doi:10.1007/s12272-017-0994-y · Cited by 242
Jeremic, N., Chaturvedi, P., & Tyagi, S. C. (2017) · Journal of Cellular Physiology · doi:10.1002/jcp.25450 · Cited by 211
β-aminoisobutyric Acid, l-BAIBA, Is a Muscle-Derived Osteocyte Survival Factor
Kitase, Y., Vallejo, J. A., Gutheil, W., Vemula, H., Jähn, K., Yi, J., Zhou, J., Brotto, M., & Bonewald, L. F. (2018) · Cell Reports · doi:10.1016/j.celrep.2018.01.041 · Cited by 219
Metabolic adaptation in obesity and type ii diabetes: myokines, adipokines and hepatokines
Oh, K.-J., Lee, D., Kim, W., Han, B., Lee, S., & Bae, K.-H. (2016) · International Journal of Molecular Sciences · doi:10.3390/ijms18010008 · Cited by 210
Crosstalk between adipokines and myokines in fat browning
Rodríguez, A., Becerril, S., Ezquerro, S., Méndez-Giménez, L., & Frühbeck, G. (2016) · Acta Physiologica · doi:10.1111/apha.12686 · Cited by 196
Jung, T. W., Park, H. S., Choi, G. H., Kim, D., & Lee, T. (2018) · Journal of Biomedical Science · doi:10.1186/s12929-018-0431-7 · Cited by 137
Self-citationMyokines in skeletal muscle physiology and metabolism: Recent advances and future perspectives
Das, D. K., Graham, Z. A., & Cardozo, C. P. (2020) · Acta Physiologica · doi:10.1111/apha.13367 · Cited by 129
Mechanisms by Which Skeletal Muscle Myokines Ameliorate Insulin Resistance
Balakrishnan, R., & Thurmond, D. C. (2022) · International Journal of Molecular Sciences · doi:10.3390/ijms23094636 · Cited by 143
Bone and Muscle Crosstalk in Aging
He, C., He, W., Hou, J., Chen, K., Huang, M., Yang, M., Luo, X., & Li, C. (2020) · Frontiers in Cell and Developmental Biology · doi:10.3389/fcell.2020.585644 · Cited by 129
Beta-Aminoisobutyric Acid as a Novel Regulator of Carbohydrate and Lipid Metabolism
Tanianskii, D. A., Jarzebska, N., Birkenfeld, A. L., O’Sullivan, J. F., & Rodionov, R. N. (2019) · Nutrients · doi:10.3390/nu11030524 · Cited by 121
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
AMPK and the Endocrine Control of Metabolism
Townsend, L. K., & Steinberg, G. R. (2023) · Endocrine Reviews · doi:10.1210/endrev/bnad012 · Cited by 114
Yuan, Y., Xu, P., Jiang, Q., Cai, X., Wang, T., Peng, W., Sun, J., Zhu, C., Zhang, C., Yue, D., et al. (2020) · The EMBO Journal · doi:10.15252/embj.2019103304 · Cited by 88
“For example, b -aminoisobutyric acid (BAIBA), a novel exercise-induced muscle factor, attenuates insulin resistance, improves glucose tolerance, and promotes the browning of white adipose tissue (WAT) and hepatic b -oxidation (Roberts et al , 2014; Jung et al , 2015).”
Garneau, L., & Aguer, C. (2019) · Diabetes & Metabolism · doi:10.1016/j.diabet.2019.02.006 · Cited by 95
The Role of Exercise, Diet, and Cytokines in Preventing Obesity and Improving Adipose Tissue
ATAKAN, M. M., Koşar, Ş. N., Güzel, Y., Tin, H. T., & Yan, X. (2021) · Nutrients · doi:10.3390/nu13051459 · Cited by 96
Signaling pathways and intervention for therapy of type 2 diabetes mellitus
Cao, R. Y., Tian, H., Zhang, Y., Liu, G., Xu, H., Rao, G., Tian, Y., & Fu, X. (2023) · MedComm · doi:10.1002/mco2.283 · Cited by 98
Quantification of aminobutyric acids and their clinical applications as biomarkers for osteoporosis
Wang, Z., Bian, L., Mo, C., Shen, H., Zhao, L., Su, K., Kukula, M., Lee, J. T., Armstrong, D. W., Recker, R. R., et al. (2020) · Communications Biology · doi:10.1038/s42003-020-0766-y · Cited by 85
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
Liu, F., Fang, S., Liu, X., Li, J., Wang, X., Cui, J., Chen, T., Li, Z., Yang, F., Tian, J., et al. (2020) · Biochemical Pharmacology · doi:10.1016/j.bcp.2020.113830 · Cited by 87
Bone and muscle crosstalk in ageing and disease
Kirk, B., Lombardi, G., & Duque, G. (2025) · Nature Reviews Endocrinology · doi:10.1038/s41574-025-01088-x · Cited by 89
Role of Physical Activity in Bone–Muscle Crosstalk: Biological Aspects and Clinical Implications
Cariati, I., Bonanni, R., Onorato, F., Mastrogregori, A., Rossi, D., Iundusi, R., Gasbarra, E., Tancredi, V., & Tarantino, U. (2021) · Journal of Functional Morphology and Kinesiology · doi:10.3390/jfmk6020055 · Cited by 78
Unraveling the Effects of PPARβ/δ on Insulin Resistance and Cardiovascular Disease
Vázquez‐Carrera, M. (2016) · Trends in Endocrinology and Metabolism · doi:10.1016/j.tem.2016.02.008 · Cited by 73
Do skeletal muscle-secreted factors influence the function of pancreatic β-cells?
Barlow, J. P., & Solomon, T. P. J. (2017) · American Journal of Physiology-Endocrinology and Metabolism · doi:10.1152/ajpendo.00353.2017 · Cited by 67
Zhao, T., Ma, A., Huang, Z., Liu, Z., Sun, Z., Zhu, C., Yang, J., Li, Y., Wang, Q., Qiao, X., et al. (2021) · Comparative Biochemistry and Physiology Part D Genomics and Proteomics · doi:10.1016/j.cbd.2021.100887 · Cited by 60
Bo, T., & Fujii, J. (2024) · Molecules · doi:10.3390/molecules30010056 · Cited by 70
Myokines and Osteokines in the Pathogenesis of Muscle and Bone Diseases
Colaianni, G., Storlino, G., Sanesi, L., Colucci, S. C., & Grano, M. (2020) · Current Osteoporosis Reports · doi:10.1007/s11914-020-00600-8 · Cited by 65
Metabolic Effects of Betaine: A Randomized Clinical Trial of Betaine Supplementation in Prediabetes
Stanton, A. M., Patti, M., Lin, A. P., Beckman, J. A., Sahni, V. A., Cloutier, E., Fowler, K. M., Dreyfuss, J. M., Pan, H., Kozuka, C., et al. (2018) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.2018-00507 · Cited by 51
Sarcopenia and cachexia: molecular mechanisms and therapeutic interventions
Wang, T., Zhou, D., & Hong, Z. (2025) · MedComm · doi:10.1002/mco2.70030 · Cited by 46
Leandro, A., Queiroz, M., Azul, L., Seiça, R. M. F., & Sena, C. M. (2020) · Free Radical Biology and Medicine · doi:10.1016/j.freeradbiomed.2020.10.021 · Cited by 52
Supruniuk, E., Żebrowska, E., & Chabowski, A. (2021) · Critical Reviews in Food Science and Nutrition · doi:10.1080/10408398.2021.1977910 · Cited by 48
Zhou, Q., Gu, Y., Lang, H., Wang, X., Chen, K., Gong, X., Zhou, M., Ran, L., Zhu, J., & Mi, M. (2017) · Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease · doi:10.1016/j.bbadis.2017.03.019 · Cited by 46
Sawada, M., Yamamoto, H., Ogasahara, A., Tanaka, Y., & Kihara, S. (2019) · Biochemical and Biophysical Research Communications · doi:10.1016/j.bbrc.2019.06.141 · Cited by 44
Rao, Y., Lu, Y., Li, C., Song, Q., Xu, Y., Zhao, X. D., Hu, Y., Yu, H., Gao, L., Gu, L., et al. (2019) · British Journal of Pharmacology · doi:10.1111/bph.14713 · Cited by 43
Role of myokines and osteokines in cancer cachexia
Pin, F., Bonewald, L. F., & Bonetto, A. (2021) · Experimental Biology and Medicine · doi:10.1177/15353702211009213 · Cited by 45
Ma, Z., Kong, C., Song, P. K., Zhang, X., Yuan, Y., & Tang, Q. (2018) · Oxidative Medicine and Cellular Longevity · doi:10.1155/2018/6053727 · Cited by 43
Ye, M., Qiu, H., Cao, Y., Zhang, M., Mi, Y., Yu, J., & Wang, C. (2017) · Frontiers in Pharmacology · doi:10.3389/fphar.2017.00148 · Cited by 41
RetractedPapandreou, C., Bulló, M., Ruiz‐Canela, M., Dennis, C., Deik, A., Wang, D. Y., Guasch‐Ferré, M., Yu, E., Razquín, C., Corella, D., et al. (2018) · American Journal of Clinical Nutrition · doi:10.1093/ajcn/nqy262 · Cited by 39
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
Energy metabolism and frailty: The potential role of exercise-induced myokines – A narrative review
Barros, D. G. M., Marques, E. A., Magalhães, J., & Carvalho, J. (2022) · Ageing Research Reviews · doi:10.1016/j.arr.2022.101780 · Cited by 41
Yi, X., Yang, Y., Li, T., Li, M., Yao, T., Hu, G., Wan, G., & Chang, B. (2023) · Frontiers in Endocrinology · doi:10.3389/fendo.2023.1192458 · Cited by 36
Zhang, Z., Li, X., Guo, J., He, B., Wu, L., Yang, R., Li, X., Fang, D., Yang, X., Yang, D., et al. (2023) · Molecular Medicine · doi:10.1186/s10020-023-00729-z · Cited by 33
Zhu, X., Ding, K., Dai, X., & Ling, W. (2018) · Journal of the Chinese Medical Association · doi:10.1016/j.jcma.2017.12.005 · Cited by 33
Potential Roles of Exercise-Induced Plasma Metabolites Linking Exercise to Health Benefits
Yang, Y. R., & Kwon, K. (2020) · Frontiers in Physiology · doi:10.3389/fphys.2020.602748 · Cited by 33
Minato, T., Nakamura, N., Saiki, T., Miyabe, M., Ito, M., Matsubara, T., & Naruse, K. (2021) · IBRO Neuroscience Reports · doi:10.1016/j.ibneur.2021.12.001 · Cited by 33
Myokine, a key cytokine for physical exercise to alleviate sarcopenic obesity
Zhang, L., Lv, J., Wang, C., Ren, Y., & Ming, Y. (2022) · Molecular Biology Reports · doi:10.1007/s11033-022-07821-3 · Cited by 33
Old and new biomarkers for volumetric muscle loss
Downing, K., Prisby, R. D., Varanasi, V. G., Zhou, J., Pan, Z., & Brotto, M. A. P. (2021) · Current Opinion in Pharmacology · doi:10.1016/j.coph.2021.05.001 · Cited by 31
Kwon, C. H., Sun, J. L., Kim, M. J., El‐Aty, A. M. A., Jeong, J. H., & Jung, T. W. (2020) · Adipocyte · doi:10.1080/21623945.2020.1823140 · Cited by 30
Self-citationExercise‐Induced cytokines, diet, and inflammation and their role in adipose tissue metabolism
Al‐Ibraheem, A. M. T., Hameed, A. A. Z., Marsool, M. D. M., Jain, H., Prajjwal, P., Khazmi, I., Nazzal, R., Al-Najati, H. M. H., Al‐Zuhairi, B. H. Y. K., Razzaq, M., et al. (2024) · Health Science Reports · doi:10.1002/hsr2.70034 · Cited by 33
Zhang, L., Wang, L., Huang, J., Jin, Z., Guan, J., Yu, H., Zhang, M., Yu, M., Jiang, H., & Qiao, Z. (2023) · Fish & Shellfish Immunology · doi:10.1016/j.fsi.2023.108876 · Cited by 29
Zhang, Z., Yu, Y., Xu, H., Wang, C., Ji, M., Gu, J., Yang, L., Zhu, J., Dong, H., & Wang, S. (2017) · Toxicology and Applied Pharmacology · doi:10.1016/j.taap.2017.03.010 · Cited by 27
Sarcopenic obesity and osteoporosis: Research progress and hot spots
Fan, S., Cai, Y., Wei, Y., Yang, J., Gao, J., & Yang, Y. (2024) · Experimental Gerontology · doi:10.1016/j.exger.2024.112544 · Cited by 29
Exercise, Neuroprotective Exerkines, and Parkinson’s Disease: A Narrative Review
Mitchell, A. K., Bliss, R. R., & Church, F. (2024) · Biomolecules · doi:10.3390/biom14101241 · Cited by 33
Huang, S., Huang, S., Wang, X., Zhang, Q., Liu, J., & Leng, Y. (2016) · International Journal of Biological Sciences · doi:10.7150/ijbs.17149 · Cited by 27
Gür, F. M., & Aktaş, İ. (2021) · Tissue and Cell · doi:10.1016/j.tice.2021.101582 · Cited by 26
Yu, Y., Chen, W., Yu, M., Liu, J., Sun, H., & Yang, P. C. (2022) · Frontiers in Cardiovascular Medicine · doi:10.3389/fcvm.2022.803510 · Cited by 25
Aktaş, İ., & Gür, F. M. (2021) · Biotechnic & Histochemistry · doi:10.1080/10520295.2021.1949041 · Cited by 24
Effects of Muscles on Bone Metabolism—with a Focus on Myokines
Kim, B. (2022) · Annals of Geriatric Medicine and Research · doi:10.4235/agmr.22.0054 · Cited by 26
BAIBA does not regulate UCP-3 expression in human skeletal muscle as a response to aerobic exercise
Morales, F. E., Forsse, J. S., Andre, T. L., McKinley-Barnard, S. K., Hwang, P. S., Anthony, I. G., Tinsley, G. M., Spillane, M., Grandjean, P. W., Ramirez, A., et al. (2017) · Journal of the American College of Nutrition · doi:10.1080/07315724.2016.1256240 · Cited by 23
Zhang, L., Liu, P., Wen, W., Bai, X., Zhang, Y., Liu, M., Wang, L., Wu, Y., Yuan, Z., & Zhou, J. (2018) · Molecular Immunology · doi:10.1016/j.molimm.2018.12.014 · Cited by 23
Beta-Aminoisobutyric Acid Inhibits Hypothalamic Inflammation by Reversing Microglia Activation
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
Audzeyenka, I., Szrejder, M., Rogacka, D., Angielski, S., Saleem, M. A., & Piwkowska, A. (2023) · Scientific Reports · doi:10.1038/s41598-023-27914-8 · Cited by 21
Peng, H., Li, H., & Li, M. (2020) · Reproductive Sciences · doi:10.1007/s43032-019-00010-x · Cited by 21
Roles of Amino Acid Derivatives in the Regulation of Obesity
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
Wang, K., Tang, Z., Wang, J., Cao, P., Li, Q., Shui, W., Wang, H., Zheng, Z., & Zhang, Y. (2017) · The Journal of Nutritional Biochemistry · doi:10.1016/j.jnutbio.2017.02.001 · Cited by 20
RetractedThe metabolite beta-aminoisobutyric acid and physical inactivity among hemodialysis patients
Molfino, A., Amabile, M. I., Ammann, T., Farcomeni, A., Lionetto, L., Simmaco, M., Lai, S., Laviano, A., Fanelli, F. R., Chiappini, M. G., et al. (2016) · Nutrition · doi:10.1016/j.nut.2016.07.012 · Cited by 20
Katano, S., Yano, T., Kouzu, H., Nagaoka, R., Numazawa, R., Yamano, K., Fujisawa, Y., Ohori, K., Nagano, N., Fujito, T., et al. (2022) · Cardiovascular Diabetology · doi:10.1186/s12933-022-01727-x · Cited by 19
Shanmugasundaram, D., Fan, Q., Wang, M., Yi, R., & Wang, O. (2022) · International Journal of Toxicology · doi:10.1177/10915818221094487 · Cited by 18
Qin, X., Liu, P., Jin, L., Zhu, K., Yang, Y., Hou, Z., Zhang, H., & Zheng, Q. (2024) · Biomedicine & Pharmacotherapy · doi:10.1016/j.biopha.2024.116137 · Cited by 17
Skeletal muscles and gut microbiota-derived metabolites: novel modulators of adipocyte thermogenesis
Tang, Y., Wang, Y., Wang, Y. Y., Liao, Z., & Xiao, X. (2023) · Frontiers in Endocrinology · doi:10.3389/fendo.2023.1265175 · Cited by 17
Su, X., Lin, D. X., Luo, D., Sun, M., Wang, X., Ye, J., Zhang, M., Zhang, Y., Xu, X., Yu, C., et al. (2019) · Journal of Cellular and Molecular Medicine · doi:10.1111/jcmm.14569 · Cited by 16
Zhang, Y., Li, Y., Zhao, J., Wang, C., Deng, B., Zhang, Q., & Shi, C. (2021) · Frontiers in Pharmacology · doi:10.3389/fphar.2021.781856 · Cited by 15
Natural and chemical compounds as protective agents against cardiac lipotoxicity
Yarmohammadi, F., Hayes, A. W., & Karimi, G. (2021) · Biomedicine & Pharmacotherapy · doi:10.1016/j.biopha.2021.112413 · Cited by 18
Yin, B., Wang, Y., Li, X., & Hou, X. (2022) · Bioengineered · doi:10.1080/21655979.2022.2085583 · Cited by 15
RetractedLyssikatos, C., Wang, Z., Liu, Z., Warden, S. J., Brotto, M., & Bonewald, L. F. (2023) · Scientific Reports · doi:10.1038/s41598-023-44249-6 · Cited by 15
Molfino, A., Amabile, M. I., Ammann, T., Lai, S., Grosso, A., Lionetto, L., Spagnoli, A., Simmaco, M., Monti, M., Laviano, A., et al. (2019) · Frontiers in Physiology · doi:10.3389/fphys.2019.00805 · Cited by 15
Li, J., Zhang, Y., Yu, F., Pan, Y., Zhang, Z., He, Y., Yang, H., & Zhou, P. (2023) · ACS Omega · doi:10.1021/acsomega.3c03513 · Cited by 14
Huang, Z., Yu, Y.-P., He, X.-R., Chen, Y.-B., Xiang, X., Li, H.-Z., Cai, Z.-H., Zhang, J.-Y., Wu, D.-Z., Zhu, G.-Z., et al. (2025) · Journal of sport and health science/Journal of Sport and Health Science · doi:10.1016/j.jshs.2025.101077 · Cited by 14
Sharma, A. R., Chatterjee, S., Lee, Y., & Lee, S. (2023) · Aging and Disease · doi:10.14336/ad.2023.00903 · Cited by 15
Zhang, J., Gao, Y., & Yan, J. (2024) · Metabolites · doi:10.3390/metabo14020088 · Cited by 15
Zhang, N., Zhou, Y., Yuan, Q., Gao, Y., Wang, Y., Wang, X., Cui, X., Xu, P., Ji, C., Guo, X., et al. (2018) · The International Journal of Biochemistry & Cell Biology · doi:10.1016/j.biocel.2018.08.013 · Cited by 13
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
Li, Q., Jiang, X., Zhou, Y., Gu, Y., Ding, Y., Luo, J., Pang, N., Sun, Y., Pei, L., Pan, J., et al. (2023) · International Journal of Molecular Sciences · doi:10.3390/ijms241210015 · Cited by 13
Zheng, X., Zhou, L., Jin, Y., Zhao, X., Ahmad, H., Ouyang, Y., Chen, S., Du, J., Chen, X., Chen, L., et al. (2021) · Amino Acids · doi:10.1007/s00726-021-03092-7 · Cited by 12
Fukuyama, K., Motomura, E., & Okada, M. (2023) · Schizophrenia · doi:10.1038/s41537-023-00336-1 · Cited by 13
Targeting adipokines: A new strategy for the treatment of myocardial fibrosis
Han, X., Zhang, Y., Zhang, X., Ji, H., Wang, W., Qiao, O., Li, X., Wang, J., Liu, C., Huang, L., et al. (2022) · Pharmacological Research · doi:10.1016/j.phrs.2022.106257 · Cited by 11
Mirzaei, S., DeVon, H. A., Cantor, R. M., Cupido, A. J., Pan, C., Ha, S. M., Silva, L. F., Hilser, J. R., Hartiala, J., Allayee, H., et al. (2024) · Metabolites · doi:10.3390/metabo14030174 · Cited by 10
Aging: A struggle for beneficial to overcome negative factors made by muscle and bone
Welc, S. S., Brotto, M., White, K. E., & Bonewald, L. F. (2025) · Mechanisms of Ageing and Development · doi:10.1016/j.mad.2025.112039 · Cited by 11
Shakoor, H. I., Hussein, H., Al-Hassan, N., Alketbi, M., Kizhakkayil, J., & Platat, C. (2023) · International Journal of Molecular Sciences · doi:10.3390/ijms24119490 · Cited by 10
Fukuyama, K., Motomura, E., & Okada, M. (2023) · Biomolecules · doi:10.3390/biom13050862 · Cited by 9
Li, A., Zhou, Z., Li, D., Sha, P.-R., Hu, H., Lin, Y.-Q., Yue, B.-L., Li, J., & Xiong, Y. (2025) · Cells · doi:10.3390/cells14241954 · Cited by 10
Bisphosphonates attenuate age‐related muscle decline in Caenorhabditis elegans
Slade, L., Bollen, S. E., Bass, J. J., Phillips, B. E., Smith, K., Wilkinson, D. J., Szewczyk, N. J., Atherton, P. J., & Etheridge, T. (2023) · Journal of Cachexia Sarcopenia and Muscle · doi:10.1002/jcsm.13335 · Cited by 8
Panghal, A., Kumar, V., & Jena, G. (2023) · Journal of Biochemical and Molecular Toxicology · doi:10.1002/jbt.23374 · Cited by 8
Fukuyama, K., Motomura, E., & Okada, M. (2023) · Biomolecules · doi:10.3390/biom13091288 · Cited by 8
Myotube Protein Content Associates with Intracellular L-Glutamine Levels
de Vasconcelos, D. A. A., Giesbertz, P., Murata, G. M., de Souza, D. R., Fiamoncini, J., Duque-Guimaraes, D. E., Leandro, C. G., Hirabara, S. M., Daniel, H., Curi, R., et al. (2019) · Cellular Physiology and Biochemistry · doi:10.33594/000000130 · Cited by 8
Effect of myokines on bone tissue metabolism: a systematic review
Jaśkiewicz, Ł., Romaszko-Wojtowicz, A. M., Chmielewski, G., Kuna, J., & Krajewska–Włodarczyk, M. (2025) · Bone · doi:10.1016/j.bone.2025.117654 · Cited by 11
Krieger, J. M., Hagele, A. M., Orr, L. S., Walden, K. E., Gross, K. N., Mumford, P. W., & Kerksick, C. M. (2022) · Journal of Dietary Supplements · doi:10.1080/19390211.2022.2128141 · Cited by 7
Exerkines: Benign adaptation for exercise and benefits for non-alcoholic fatty liver disease
Chen, Y., Zhang, Y., Jin, X., Hong, S., & Tian, H. (2024) · Biochemical and Biophysical Research Communications · doi:10.1016/j.bbrc.2024.150305 · Cited by 5
Metadata
- Authors
- Jung, T. W., Hwang, H.-J., Hong, H. C., Yoo, H. J., Baik, S. H., & Choi, K. M.
- Affiliations
- Korea University Guro Hospital (KR)
- Corresponding author
- Choi, Kyung Mook
- Venue
- Diabetologia
- Published
- 2015-06-24
- Volume
- 58
- Issue
- 9
- Pages
- 2096-2105
- ISSN
- 0012-186X (ISSN-L)
- 1432-0428
- OpenAlex
- W2163244012
- Cited by
- 145
- References
- 35
- Citations by year
- 2026: 14 · 2025: 12 · 2024: 21 · 2023: 22 · 2022: 13 · 2021: 14 · 2020: 11 · 2019: 14 · 2018: 8 · 2017: 9 · 2016: 7
- FWCI
- 3.47
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Diabetologia (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Peroxisome Proliferator-Activated Receptors
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Metabolism, Diabetes, and Cancer
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Adipokines, Inflammation, and Metabolic Diseases
- Keywords
- beta-aminoisobutyric acid, insulin resistance, inflammation, AMPK, PPARδ, palmitate, high-fat diet, skeletal muscle, fatty acid oxidation, NF-κB, compound C, carnitine palmitoyltransferase 1, acyl-CoA oxidase, fatty acid binding protein 3, glucose tolerance, hyperlipidemia
- MeSH terms
- Aminoisobutyric Acids, Animals, Carnitine O-Palmitoyltransferase, Diabetes Mellitus, Fatty Acids, Gene Expression Regulation, Glucose Tolerance Test, Inflammation, Insulin, Insulin Resistance, Male, Mice, Inbred C57BL, Oxygen, Palmitates, Signal Transduction, NF-kappa B, Receptors, Cytoplasmic and Nuclear, Muscle Fibers, Skeletal, Active Transport, Cell Nucleus, RNA, Small Interfering, Mice, AMP-Activated Protein Kinases, Diet, High-Fat
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review