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Muscle-specific 4E-BP1 signaling activation improves metabolic parameters during aging and obesity
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Genetic depletion of mTORC1 subunits, deletion of S6K1 or downstream substrates, or expression of dominant negative 4E-BP1 in specific tissues extends lifespan and healthspan of mice.
“Studies in mice have likewise shown that genetic depletion of mTORC1 subunits, deletion of S6K1 or downstream substrates, or expression of dominant negative 4E-BP1 in specific tissues extends the lifespan and healthspan of mice 13–16.”
From Targeting the biology of aging with mTOR inhibitors (2023) · cites this paper as [15]
The Introduction (page unavailable) states that reduced S6K signaling extends lifespan in mice, and the Discussion reports lifespan extension after S6k1 deletion. But the Introduction says the lifespan outcome for mice with activated 4E-BP was unknown; this paper reports metabolic benefits of muscle-specific 4E-BP1 activation, not extended mouse lifespan. It also does not establish that tissue-specific depletion of mTORC1 subunits extends both lifespan and healthspan in mice. (LLM, conf=0.88)
Experimental — accuracy not yet measuredMice expressing a constitutively active (dephosphorylated) form of 4E-BP1 in skeletal muscle are protected from age- and diet-induced declines in insulin sensitivity and metabolic rate.
“One potential example of this is that mice expressing a constitutively active (dephosphorylated) form of 4E-BP1 in skeletal muscle are protected from age- and diet-induced declines in insulin sensitivity and metabolic rate 15.”
From Targeting the biology of aging with mTOR inhibitors (2023) · cites this paper as [15]
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Cites
A PGC1-α-dependent myokine that drives brown-fat-like development of white fat and thermogenesis
Boström, P., Wu, J., Jedrychowski, M. P., Korde, A., Ye, L., Lo, J. C., Rasbach, K. A., Boström, E. A., Choi, J. H., Long, J. Z., et al. (2012) · Nature · doi:10.1038/nature10777 · Cited by 4,810
Rapamycin fed late in life extends lifespan in genetically heterogeneous mice
Harrison, D. E., Strong, R., Sharp, Z. D., Nelson, J. F., Astle, C. M., Flurkey, K., Nadon, N. L., Wilkinson, J. E., Frenkel, K., Carter, C. S., et al. (2009) · Nature · doi:10.1038/nature08221 · Cited by 3,766
Extending Healthy Life Span—From Yeast to Humans
Fontana, L., Partridge, L., & Longo, V. D. (2010) · Science · doi:10.1126/science.1172539 · Cited by 3,023
Sandri, M., Sandri, C., Gilbert, A., Skurk, C., Calabria, E., Picard, A., Walsh, K., Schiaffino, S., Lecker, S. H., & Goldberg, A. L. (2004) · Cell · doi:10.1016/s0092-8674(04)00400-3 · Cited by 3,012
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
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×
“Moreover, protein levels of PGC-1α, which regulates mitochondrial biogenesis (45, 46), were enhanced even though mRNA levels were not altered (Figure 2, B and C).”
BackgroundGlutamine supports pancreatic cancer growth through a KRAS-regulated metabolic pathway
Son, J., Lyssiotis, C. A., Ying, H., Wang, X., Hua, S., Ligorio, M., Perera, R. M., Ferrone, C. R., Mullarky, E., Shyh-Chang, N., et al. (2013) · Nature · doi:10.1038/nature12040 · Cited by 1,990
Absence of S6K1 protects against age- and diet-induced obesity while enhancing insulin sensitivity
Um, S. H., Frigerio, F., Watanabe, M., Picard, F., Joaquin, M., Sticker, M., Fumagalli, S., Allegrini, P. R., Kozma, S. C., Auwerx, J., et al. (2004) · Nature · doi:10.1038/nature02866 · Cited by 1,677
mTOR is a key modulator of ageing and age-related disease
Johnson, S. C., Rabinovitch, P. S., & Kaeberlein, M. (2013) · Nature · doi:10.1038/nature11861 · Cited by 1,676
A unifying model for mTORC1-mediated regulation of mRNA translation
Thoreen, C. C., Chantranupong, L., Keys, H. R., Wang, T., Gray, N. S., & Sabatini, D. M. (2012) · Nature · doi:10.1038/nature11083 · Cited by 1,477
The translational landscape of mTOR signalling steers cancer initiation and metastasis
Hsieh, A. C., Liu, Y., Edlind, M. P., Ingolia, N. T., Janes, M. R., Sher, A., Shi, E. Y., Stumpf, C. R., Christensen, C., Bonham, M. J., et al. (2012) · Nature · doi:10.1038/nature10912 · Cited by 1,313
Peroxisome-Proliferator-Activated Receptor δ Activates Fat Metabolism to Prevent Obesity
Wang, Y.-X., Lee, C.-H., Tiep, S., Yu, R. T., Ham, J., Kang, H., & Evans, R. M. (2003) · Cell · doi:10.1016/s0092-8674(03)00269-1 · Cited by 1,296
Autophagy is required to maintain muscle mass.
Masiero, E., Agatea, L., Mammucari, C., Blaauw, B., Loro, E., Komatsu, M., Metzger, D., Reggiani, C., Schiaffino, S., & Sandri, M. (2009) · Cell Metabolism · doi:10.1016/j.cmet.2009.10.008 · Cited by 1,282
Goodpaster, B. H. (2001) · Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.86.12.5755 · Cited by 1,194
Ribosomal Protein S6 Kinase 1 Signaling Regulates Mammalian Life Span
Selman, C., Tullet, J. M. A., Wieser, D., Irvine, E., Lingard, S. J., Choudhury, A. I., Claret, M., Al-Qassab, H., Carmignac, D., Ramadani, F., et al. (2009) · Science · doi:10.1126/science.1177221 · Cited by 1,120
Fibroblast Growth Factor 21 Corrects Obesity in Mice
Coskun, T., Bina, H. A., Schneider, M. A., Dunbar, J. D., Hu, C. C., Chen, Y., Moller, D. E., & Kharitonenkov, A. (2008) · Endocrinology · doi:10.1210/en.2008-0816 · Cited by 1,031
Morita, M., Gravel, S.-P., Chénard, V., Sikström, K., Zheng, L., Alain, T., Gandin, V., Avizonis, D., Arguello, M., Zakaria, C., et al. (2013) · Cell Metabolism · doi:10.1016/j.cmet.2013.10.001 · Cited by 842
Adaptive thermogenesis in adipocytes: Is beige the new brown?
Wu, J., Cohen, P., & Spiegelman, B. M. (2013) · Genes & Development · doi:10.1101/gad.211649.112 · Cited by 828 · cited 1×
“Previously, transgenic mice with whole-body knockout of 4E-BP1 were reported to undergo a white-to-brown adipose transition, generating beige fat (24).”
BackgroundOverexpression of Atg5 in mice activates autophagy and extends lifespan
Pyo, J.-O., Yoo, S.-M., Ahn, H.-H., Nah, J., Hong, S.-H., Kam, T.-I., Jung, S., & Jung, Y.-K. (2013) · Nature Communications · doi:10.1038/ncomms3300 · Cited by 721
Bentzinger, C. F., Romanino, K., Cloëtta, D., Lin, S., Mascarenhas, J. B., Oliveri, F., Xia, J., Casanova, E., Costa, C. F., Brink, M., et al. (2008) · Cell Metabolism · doi:10.1016/j.cmet.2008.10.002 · Cited by 640
Cellular bioenergetics as a target for obesity therapy
Tseng, Y.-H., Cypess, A. M., & Kahn, C. R. (2010) · Nature Reviews Drug Discovery · doi:10.1038/nrd3138 · Cited by 591
The mTORC1 Pathway Stimulates Glutamine Metabolism and Cell Proliferation by Repressing SIRT4
Csibi, A., Fendt, S.-M., Li, C., Poulogiannis, G., Choo, A. Y., Chapski, D. J., Jeong, S. M., Dempsey, J. M., Parkhitko, A., Morrison, T., et al. (2013) · Cell · doi:10.1016/j.cell.2013.04.023 · Cited by 586
Dutchak, P. A., Katafuchi, T., Bookout, A. L., Choi, J. H., Yu, R. T., Mangelsdorf, D. J., & Kliewer, S. A. (2012) · Cell · doi:10.1016/j.cell.2011.11.062 · Cited by 537
The metabolic footprint of aging in mice
Houtkooper, R. H., Argmann, C., Houten, S. M., Cantó, C., Jeninga, E. H., Andreux, P. A., Thomas, C., Doenlen, R., Schoonjans, K., & Auwerx, J. (2011) · Scientific Reports · doi:10.1038/srep00134 · Cited by 528
Adipose-Specific Knockout of raptor Results in Lean Mice with Enhanced Mitochondrial Respiration
Polak, P., Cybulski, N., Feige, J. N., Auwerx, J., Rüegg, M. A., & Hall, M. N. (2008) · Cell Metabolism · doi:10.1016/j.cmet.2008.09.003 · Cited by 480 · cited 3×
“Previously, the mTORC1 pathway was implicated in the regulation of adipogenesis, as inactivation of mTORC1 by RNAi knockdown of Rptor or treatment with rapamycin was found to reduce adipocyte differentiation (11).”
BackgroundMethodSchenk, S., & Horowitz, J. F. (2007) · Journal of Clinical Investigation · doi:10.1172/jci30566 · Cited by 407
Fast/Glycolytic Muscle Fiber Growth Reduces Fat Mass and Improves Metabolic Parameters in Obese Mice
Izumiya, Y., Hopkins, T., Morris, C., Sato, K., Zeng, L., Viereck, J., Hamilton, J. A., Ouchi, N., LeBrasseur, N. K., & Walsh, K. (2008) · Cell Metabolism · doi:10.1016/j.cmet.2007.11.003 · Cited by 395 · cited 1×
“Overexpression of AKT1 in skeletal muscle causes muscle hypertrophy and increased type IIb muscle (glycolytic) fibers (15).”
BackgroundSkeletal Muscle Triglycerides, Diacylglycerols, and Ceramides in Insulin Resistance
Amati, F., Dubé, J. J., Alvarez-Carnero, E., Edreira, M. M., Chomentowski, P., Coen, P. M., Switzer, G. E., Bickel, P. E., Stefanovic-Racic, M., Toledo, F. G. S., et al. (2011) · Diabetes · doi:10.2337/db10-1221 · Cited by 395
Ohanna, M., Sobering, A. K., Lapointe, T., Lorenzo, L., Praud, C., Petroulakis, E., Sonenberg, N., Kelly, P. A., Sotiropoulos, A., & Pende, M. (2005) · Nature Cell Biology · doi:10.1038/ncb1231 · Cited by 392
Muscle Mass Index As a Predictor of Longevity in Older Adults
Srikanthan, P., & Karlamangla, A. S. (2014) · The American Journal of Medicine · doi:10.1016/j.amjmed.2014.02.007 · Cited by 382
Muscle inactivation of mTOR causes metabolic and dystrophin defects leading to severe myopathy
Risson, V., Mazelin, L., Roceri, M., Sanchez, H., Moncollin, V., Corneloup, C., Richard-Bulteau, H., Vignaud, A., Baas, D., Defour, A., et al. (2009) · Journal of Cell Biology · doi:10.1083/jcb.200903131 · Cited by 381
Sandri, M., Barberi, L., Bijlsma, A. Y., Blaauw, B., Dyar, K. A., Milan, G., Mammucari, C., Meskers, C. G. M., Pallafacchina, G., Paoli, A., et al. (2013) · Biogerontology · doi:10.1007/s10522-013-9432-9 · Cited by 340
Differential response of skeletal muscles to mTORC1 signaling during atrophy and hypertrophy
Bentzinger, C. F., Lin, S., Romanino, K., Castets, P., Guridi, M., Summermatter, S., Handschin, C., Tintignac, L. A., Hall, M. N., & Rüegg, M. A. (2013) · Skeletal Muscle · doi:10.1186/2044-5040-3-6 · Cited by 153
Nadeau, K. J., Ehlers, L. B., Aguirre, L. E., Moore, R. L., Jew, K. N., Ortmeyer, H. K., Hansen, B. C., Reusch, J. E. B., & Draznin, B. (2006) · American Journal of Physiology-Endocrinology and Metabolism · doi:10.1152/ajpendo.00543.2005 · Cited by 57
Flagged first, then by citations
Research works printed but not linked: 54
- 10.2174/138920207780368196 · DOI
- 10.1016/j.bbagen.2009.06.007 · DOI
- 10.1101/gad.1212704 · DOI · Paper page
- 10.1038/nrm2672 · DOI · Paper page
- 10.1016/j.ceb.2009.01.024 · DOI
- 10.1016/j.cmet.2006.05.003 · DOI · Paper page
- 10.1016/j.cell.2010.10.007 · DOI · Paper page
- 10.1091/mbc.E10-05-0454 · DOI
- 10.1016/j.cmet.2013.03.015 · DOI · Paper page
- 10.1038/nrm3198 · DOI · Paper page
- Nader, 2001, J Appl Physiol., 90, 1936, 10.1152/jappl.2001.90.5.1936 · DOI
- 10.1007/s00421-010-1545-0 · DOI
- 10.1371/journal.pbio.0020294 · DOI · Paper page
- 10.1172/JCI67652 · DOI
- 10.1172/JCI29528 · DOI
- 10.1101/gad.13.11.1422 · DOI
- 10.1016/S1097-2765(00)80155-0 · DOI
- 10.1038/35055575 · DOI
- 10.1016/j.ccr.2010.01.021 · DOI · Paper page
- 10.1101/gad.1098703 · DOI
- 10.1016/j.cellsig.2011.07.013 · DOI
- 10.1074/jbc.M400674200 · DOI
- 10.1016/j.cmet.2012.06.005 · DOI
- 10.1210/jcem.86.12.8075 · DOI · Paper page
- 10.1371/journal.pone.0035273 · DOI
- 10.1152/ajpcell.00368.2011 · DOI · Paper page
- 10.1016/j.tem.2012.06.006 · DOI · Paper page
- 10.1126/science.1244360 · DOI · Paper page
- Zhang, 2013, Sci Rep., 3, 1476, 10.1038/srep01476 · DOI
- 10.1016/j.numecd.2013.11.010 · DOI
- Janssen, 2005, J Nutr Health Aging., 9, 408
- Karakelides, 2005, Curr Top Dev Biol., 68, 123, 10.1016/S0070-2153(05)68005-2 · DOI
- 10.1111/acel.12010 · DOI
- 10.1056/NEJMoa0810780 · DOI · Paper page
- Leiter, 1988, FASEB J., 2, 2807, 10.1096/fasebj.2.12.3044905 · DOI
- 10.1172/JCI67353 · DOI
- 10.1210/en.2013-1191 · DOI
- 10.1186/1471-213X-10-21 · DOI
- 10.1002/gene.20107 · DOI
- 10.1074/jbc.272.50.31510 · DOI
- 10.1038/nm1001-1128 · DOI
- 10.1126/science.1215135 · DOI · Paper page
- 10.1016/j.cmet.2007.05.006 · DOI
- 10.1128/MCB.24.8.3112-3124.2004 · DOI
- 10.1016/j.cell.2009.07.034 · DOI
- 10.1016/j.molcel.2010.05.007 · DOI
- 10.1172/JCI69600 · DOI · Paper page
- 10.1016/j.gde.2012.12.005 · DOI
- 10.1073/pnas.2536828100 · DOI
- 10.1038/nprot.2013.055 · DOI
- 10.1096/fj.10-168799 · DOI
- 10.1038/nmeth.1314 · DOI · Paper page
- 10.1007/978-1-61779-382-0_11 · DOI
- 10.1371/journal.pone.0021746 · DOI
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Smith, G. I., Yoshino, J., Kelly, S. C., Reeds, D. N., Okunade, A., Patterson, B. W., Klein, S., & Mittendorfer, B. (2016) · Cell Reports · doi:10.1016/j.celrep.2016.09.047 · Cited by 111
Muscle mitochondrial stress adaptation operates independently of endogenous FGF21 action
Ost, M., Coleman, V., Voigt, A., van Schothorst, E. M., Keipert, S., van der Stelt, I., Ringel, S., Graja, A., Ambrosi, T., Kipp, A. P., et al. (2016) · Molecular Metabolism · doi:10.1016/j.molmet.2015.11.002 · Cited by 75
Zhang, Q., Duplany, A., Moncollin, V., Mouradian, S., Goillot, E., Mazelin, L., Gauthier, K., Streichenberger, N., Angleraux, C., Chen, J., et al. (2019) · Journal of Cachexia, Sarcopenia and Muscle · doi:10.1002/jcsm.12336 · Cited by 31
“juvenile mTORmKOKI mice and indicate impaired autophagy.(20,42) This feature may exacerbate the myopathy of mTORmKOKI mice.”
Background
Metadata
- Authors
- Tsai, S., Sitzmann, J. M., Dastidar, S. G., Rodriguez, A. A., Vu, S. L., McDonald, C. E., Academia, E. C., O’Leary, M. N., Ashe, T. D., La Spada, A. R., & Kennedy, B. K.
- Venue
- Journal of Clinical Investigation
- Published
- 2015-06-29
- Volume
- 125
- Issue
- 8
- Pages
- 2952-2964
- ISSN
- 0021-9738
- Cited by
- 126
- References
- 34
- Language
- en
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