The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.
BCAA catabolism in brown fat controls energy homeostasis through SLC25A44
Open accessAbstract
Branched-chain amino acid (BCAA; valine, leucine and isoleucine) supplementation is often beneficial to energy expenditure; however, increased circulating levels of BCAA are linked to obesity and diabetes. The mechanisms of this paradox remain unclear. Here we report that, on cold exposure, brown adipose tissue (BAT) actively utilizes BCAA in the mitochondria for thermogenesis and promotes systemic BCAA clearance in mice and humans. In turn, a BAT-specific defect in BCAA catabolism attenuates systemic BCAA clearance, BAT fuel oxidation and thermogenesis, leading to diet-induced obesity and glucose intolerance. Mechanistically, active BCAA catabolism in BAT is mediated by SLC25A44, which transports BCAAs into mitochondria. Our results suggest that BAT serves as a key metabolic filter that controls BCAA clearance via SLC25A44, thereby contributing to the improvement of metabolic health. The solute carrier transporter protein SLC25A44 regulates uptake of branched-chain amino acids in mitochondria of brown adipose tissue in which they are utilized for thermogenesis.
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CRISPR-Mediated Modular RNA-Guided Regulation of Transcription in Eukaryotes
Gilbert, L. A., Larson, M. H., Morsut, L., Liu, Z., Brar, G. A., Torres, S. E., Stern-Ginossar, N., Brandman, O., Whitehead, E. H., Doudna, J. A., et al. (2013) · Cell · doi:10.1016/j.cell.2013.06.044 · Cited by 3,696 · cited 1×
“…Hipp11 (H11) locus expressing the nuclease-deficient Cas9 fused to the zinc-finger protein 10 (ZNF10) Krüppel-Associated Box (KRAB) repressor domain 31 , together with mCherry and the puromycin resistance cassette. dCas9-KRAB mice were backcrossed with wild-type C57BL/6J mice, and subsequently…”
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-citationHigh Incidence of Metabolically Active Brown Adipose Tissue in Healthy Adult Humans
Saito, M., Okamatsu-Ogura, Y., Matsushita, M., Watanabe, K., Yoneshiro, T., Nio-Kobayashi, J., Iwanaga, T., Miyagawa, M., Kameya, T., Nakada, K., et al. (2009) · Diabetes · doi:10.2337/db09-0530 · Cited by 1,848
Self-citationBrown adipose tissue activity controls triglyceride clearance
Bartelt, A., Bruns, O. T., Reimer, R., Hohenberg, H., Ittrich, H., Peldschus, K., Kaul, M. G., Tromsdorf, U. I., Weller, H., Waurisch, C., et al. (2011) · Nature Medicine · doi:10.1038/nm.2297 · Cited by 1,608 · cited 1×
“Consistent with the previous studies that BAT thermogenesis controls hepatic triglyceride clearance 4,20 , the liver of Bckdha UCP1 contained significantly higher levels of triglycerides than that of controls (Extended Data Fig.5d).”
Interplay between lipids and branched-chain amino acids in development of insulin resistance
Newgard, C. B. (2012) · Cell Metabolism · doi:10.1016/j.cmet.2012.01.024 · Cited by 1,080
Huffman, K. M., Shah, S. H., Stevens, R. D., Bain, J. R., Muehlbauer, M., Slentz, C. A., Tanner, C. J., Kuchibhatla, M., Houmard, J. A., Newgard, C. B., et al. (2009) · Diabetes Care · doi:10.2337/dc08-2075 · Cited by 410
White, P. J., McGarrah, R. W., Grimsrud, P. A., Tso, S.-C., Yang, W.-H., Haldeman, J. M., Grenier-Larouche, T., An, J., Lapworth, A. L., Astapova, I., et al. (2018) · Cell Metabolism · doi:10.1016/j.cmet.2018.04.015 · Cited by 365
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Metadata
- Authors
- Yoneshiro, T., Wang, Q., Tajima, K., Matsushita, M., Maki, H., Igarashi, K., Dai, Z., White, P. J., McGarrah, R. W., Ilkayeva, O. R., Deleye, Y., Oguri, Y., Kuroda, M., Ikeda, K., Li, H., Ueno, A., Ohishi, M., Ishikawa, T., Kim, K., Chen, Y., Sponton, C. H., Pradhan, R. N., Majd, H., Greiner, V. J., Yoneshiro, M., Brown, Z., Chondronikola, M., Takahashi, H., Goto, T., Kawada, T., Sidossis, L., Szoka, F. C., McManus, M. T., Saito, M., Soga, T., & Kajimura, S.
- Venue
- Nature
- Published
- 2019-08-21
- Volume
- 572
- Issue
- 7771
- Pages
- 614-619
- ISSN
- 0028-0836 (ISSN-L)
- 1476-4687
- OpenAlex
- W2969705160
- Cited by
- 534
- References
- 7
- FWCI
- 33.00
- Type
- journal article
- Language
- en
- Open access
- green
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- Yoneshiro, T., Wang, Q., Tajima, K., Matsushita, M., Maki, H., Igarashi, K., Dai, Z., White, P. J., McGarrah, R. W., Ilkayeva, O. R., Deleye, Y., Oguri, Y., Kuroda, M., Ikeda, K., Li, H., Ueno, A., Ohishi, M., Ishikawa, T., Kim, K., . . . Kajimura, S. (2019). BCAA catabolism in brown fat controls energy homeostasis through SLC25A44. Nature. https://doi.org/10.1038/s41586-019-1503-x
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.