The DOI matches its Crossref record; 49 of the 49 references it cites were found in a registry or an index.
Catabolic Defect of Branched-Chain Amino Acids Promotes Heart Failure
Open accessAbstract
Background—: Although metabolic reprogramming is critical in the pathogenesis of heart failure, studies to date have focused principally on fatty acid and glucose metabolism. Contribution of amino acid metabolic regulation in the disease remains understudied. Methods and Results—: Transcriptomic and metabolomic analyses were performed in mouse failing heart induced by pressure overload. Suppression of branched-chain amino acid (BCAA) catabolic gene expression along with concomitant tissue accumulation of branched-chain α-keto acids was identified as a significant signature of metabolic reprogramming in mouse failing hearts and validated to be shared in human cardiomyopathy hearts. Molecular and genetic evidence identified the transcription factor Krüppel-like factor 15 as a key upstream regulator of the BCAA catabolic regulation in the heart. Studies using a genetic mouse model revealed that BCAA catabolic defect promoted heart failure associated with induced oxidative stress and metabolic disturbance in response to mechanical overload. Mechanistically, elevated branched-chain α-keto acids directly suppressed respiration and induced superoxide production in isolated mitochondria. Finally, pharmacological enhancement of branched-chain α-keto acid dehydrogenase activity significantly blunted cardiac dysfunction after pressure overload. Conclusions—: BCAA catabolic defect is a metabolic hallmark of failing heart resulting from Krüppel-like factor 15–mediated transcriptional reprogramming. BCAA catabolic defect imposes a previously unappreciated significant contribution to heart failure.
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Cites
Systematic and integrative analysis of large gene lists using DAVID bioinformatics resources
Huang, D. W., Sherman, B. T., & Lempicki, R. A. (2009) · Nature Protocols · doi:10.1038/nprot.2008.211 · Cited by 35,890
Newgard, C. B., An, J., Bain, J. R., Muehlbauer, M. J., Stevens, R. D., Lien, L. F., Haqq, A. M., Shah, S. H., Arlotto, M., Slentz, C. A., et al. (2009) · Cell Metabolism · doi:10.1016/j.cmet.2009.02.002 · Cited by 3,165
Self-citationBranched-chain amino acids in metabolic signalling and insulin resistance
Lynch, C. J., & Adams, S. H. (2014) · Nature Reviews Endocrinology · doi:10.1038/nrendo.2014.171 · Cited by 1,461
Self-citationGao, X., Wu, G., Gu, X., Fu, L., & Mei, C. (2013) · Kidney and Blood Pressure Research · doi:10.1159/000355743 · Cited by 1,035
Mayers, J. R., Wu, C., Clish, C. B., Kraft, P., Torrence, M. E., Fiske, B. P., Yuan, C., Bao, Y., Townsend, M. K., Tworoger, S. S., et al. (2014) · Nature Medicine · doi:10.1038/nm.3686 · Cited by 649
Metabolite Profiling Identifies Pathways Associated With Metabolic Risk in Humans
Cheng, S., Rhee, E. P., Larson, M. G., Lewis, G. D., McCabe, E. L., Shen, D., Palma, M. J., Roberts, L. D., Dejam, A., Souza, A. L., et al. (2012) · Circulation · doi:10.1161/circulationaha.111.067827 · Cited by 587
D'Antona, G., Ragni, M., Cardile, A., Tedesco, L., Dossena, M., Bruttini, F., Caliaro, F., Corsetti, G., Bottinelli, R., Carruba, M. O., et al. (2010) · Cell Metabolism · doi:10.1016/j.cmet.2010.08.016 · Cited by 568
Crosstalk between Glucocorticoid Receptor and Nutritional Sensor mTOR in Skeletal Muscle
Shimizu, N., Yoshikawa, N., Ito, N., Maruyama, T., Suzuki, Y., Takeda, S.-I., Nakae, J., Tagata, Y., Nishitani, S., Takehana, K., et al. (2011) · Cell Metabolism · doi:10.1016/j.cmet.2011.01.001 · Cited by 498
Shah, S. H., Bain, J. R., Muehlbauer, M. J., Stevens, R. D., Crosslin, D. R., Haynes, C., Dungan, J., Newby, L. K., Hauser, E. R., Ginsburg, G. S., et al. (2010) · Circulation: Cardiovascular Genetics · doi:10.1161/circgenetics.109.852814 · Cited by 465
Self-citationReturn to the fetal gene program: A suggested metabolic link to gene expression in the heart
Taegtmeyer, H., Sen, S., & Vela, D. (2010) · Annals of the New York Academy of Sciences · doi:10.1111/j.1749-6632.2009.05100.x · Cited by 411
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Fan, Y., & Pedersen, O. (2021) · Nature Reviews Microbiology · doi:10.1038/s41579-020-0433-9 · Cited by 4,724
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Murashige, D., Jang, C., Neinast, M., Edwards, J. J., Cowan, A., Hyman, M. C., Rabinowitz, J. D., Frankel, D. S., & Arany, Z. (2020) · Science · doi:10.1126/science.abc8861 · Cited by 580
McGarrah, R. W., Crown, S. B., Zhang, G.-F., Shah, S. H., & Newgard, C. B. (2018) · Circulation Research · doi:10.1161/circresaha.117.311002 · Cited by 423
Self-citationRichardson, N. E., Konon, E. N., Schuster, H. S., Mitchell, A. T., Boyle, C., Rodgers, A. C., Finke, M., Haider, L. R., Yu, D., Flores, V., et al. (2021) · Nature Aging · doi:10.1038/s43587-020-00006-2 · Cited by 267
Siddik, M. A. B., Mullins, C. A., Kramer, A., Shah, H., Gannaban, R. B., Zabet-Moghaddam, M., Huebinger, R. M., Hegde, V. K., MohanKumar, S. M. J., MohanKumar, P. S., et al. (2022) · Cells · doi:10.3390/cells11213523 · Cited by 68
Metadata
- Authors
- Sun, H., Olson, K. C., Gao, C., Prosdocimo, D. A., Zhou, M., Wang, Z., Jeyaraj, D., Youn, J.-Y., Ren, S., Liu, Y., Rau, C. D., Shah, S., Ilkayeva, O., Gui, W.-J., William, N. S., Wynn, R. M., Newgard, C. B., Cai, H., Xiao, X., Chuang, D. T., Schulze, P. C., Lynch, C., Jain, M. K., & Wang, Y.
- Venue
- Circulation
- Published
- 2016-05-24
- Volume
- 133
- Issue
- 21
- Pages
- 2038-2049
- ISSN
- 0009-7322 (ISSN-L)
- 1524-4539
- OpenAlex
- W2317552858
- Cited by
- 538
- References
- 49
- FWCI
- 27.89
- Type
- journal article
- Language
- en
- Open access
- bronze
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- Sun, H., Olson, K. C., Gao, C., Prosdocimo, D. A., Zhou, M., Wang, Z., Jeyaraj, D., Youn, J.-Y., Ren, S., Liu, Y., Rau, C. D., Shah, S., Ilkayeva, O., Gui, W.-J., William, N. S., Wynn, R. M., Newgard, C. B., Cai, H., Xiao, X., . . . Wang, Y. (2016). Catabolic Defect of Branched-Chain Amino Acids Promotes Heart Failure. Circulation. https://doi.org/10.1161/circulationaha.115.020226
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