The DOI matches its Crossref record; 25 of the 25 references it cites were found in a registry or an index.
Restoring Systemic GDF11 Levels Reverses Age-Related Dysfunction in Mouse Skeletal Muscle
Open accessAbstract
Help the Aged: Muscle function declines with age, as does neurogenesis in certain brain regions. Two teams analyzed the effects of heterochronic parabiosis in mice. Sinha et al. (p. 649 ) found that when an aged mouse shares a circulatory system with a youthful mouse, the aged mouse sees improved muscle function, and Katsimpardi et al. (p. 630 ) observed increased generation of olfactory neurons. In both cases, Growth Differentiation Factor 11 appeared to be one of the key components of the young blood.
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?
In the citing paper
“The first study42 focused on the monomeric forms of GDF11 and myostatin and showed that they cumulatively decrease in abundance in serum with aging42,44.”
From The central role of muscle stem cells in regenerative failure with aging (2015) · cites this paper as [42]
In the citing paper
“Importantly, there are monomeric (12.5 kDa) and dimeric (25 kDa) forms of both myostatin and GDF11, which were not distinguished using the cross-reacting antibodies in these studies42,43.”
From The central role of muscle stem cells in regenerative failure with aging (2015) · cites this paper as [42]
In the citing paper
“Accumulation of DNA damage in these stem cells can also be detected using single-cell gel electrophoresis assays38,40.”
From Stem cell aging: mechanisms, regulators and therapeutic opportunities (2014) · cites this paper as [38]
In the citing paper
“aged HSCs and muscle stem cells (also called satellite cells) show an increased number of nuclear foci that stain for the phosphorylated form of the variant histone H2A.X (γH2A.X)36–38, which serves as a marker of DNA double-strand breaks39.”
From Stem cell aging: mechanisms, regulators and therapeutic opportunities (2014) · cites this paper as [38]
In the citing paper
“A recent parabiosis study further demonstrated the potential to correct DNA damage accumulated in aging mouse satellite cells via circulating systemic factors, with associated improvement of stem cell and tissue functions38.”
From Stem cell aging: mechanisms, regulators and therapeutic opportunities (2014) · cites this paper as [38]
In the citing paper
“Intriguingly, at least part of the ‘rejuvenating’ effect of a young systemic environment appears related to the higher levels of circulating growth differentiation factor 11 (GDF11) and oxytocin present in young blood as compared to aged38,166,168,169.”
From Stem cell aging: mechanisms, regulators and therapeutic opportunities (2014) · cites this paper as [38]
In the citing paper
“Heterochronic parabiosis (a technique that links the circulatory systems of an old and young animal) can “rejuvenate” several hallmarks of aging in an old mouse (Conboy et al., 2005; Sinha et al., 2014).”
From The Aging Epigenome (2016) · cites this paper as Sinha et al., 2014
In the citing paper
“Many of the molecular signatures of aging, including stem cell exhaustion, altered intercellular signaling, and a loss of genome integrity, are reversed in an old mouse as a result of heterochronic parabiosis, suggesting that the epigenome and gene expression could also be restored to a more youthful state by this treatment (Rando and Chang, 2012; Sinha et al., 2014)”
From The Aging Epigenome (2016) · cites this paper as Sinha et al., 2014
In the citing paper
“Studies on heterochronic parabiosis and plasma exchange in animals have demonstrated that circulating proteins can have a causal influence on ageing phenotypes across the body, including in skeletal muscle107,108, heart109 and brain15,110–112.”
From Measuring biological age using omics data (2022) · cites this paper as [108]
In the citing paper
“Old mice exhibit a decrease in circulating levels of the growth hormone GDF-11, and restoring GDF-11 levels in the old mouse was sufficient for much of the benefit for muscle function (Sinha et al., 2014).”
From Programmed cell death in aging (2015) · cites this paper as Sinha et al., 2014
In the citing paper
“Old mice exhibit a decrease in circulating levels of the growth hormone GDF-11, and restoring GDF-11 levels in the old mouse was sufficient for much of the benefit for muscle function (Sinha et al., 2014).”
From Programmed cell death in aging (2015) · cites this paper as Sinha et al., 2014
In the citing paper
“Replenishing the circulatory system with young blood has been shown to rejuvenate peripheral organs and reverse functional deficits in animals (Sinha et al, 2014).”
From Microglia Priming with Aging and Stress (2017) · cites this paper as Sinha et al, 2014
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
SATELLITE CELL OF SKELETAL MUSCLE FIBERS
Mauro, A. (1961) · The Journal of Cell Biology · doi:10.1083/jcb.9.2.493 · Cited by 3,683
The Comet Assay for DNA Damage and Repair: Principles, Applications, and Limitations
Collins, A. R. (2004) · Molecular Biotechnology · doi:10.1385/mb:26:3:249 · Cited by 2,892
Rejuvenation of aged progenitor cells by exposure to a young systemic environment
Conboy, I. M., Conboy, M. J., Wagers, A. J., Girma, E. R., Weissman, I. L., & Rando, T. A. (2005) · Nature · doi:10.1038/nature03260 · Cited by 2,287
Self-citationIncreased Wnt signaling during aging alters muscle stem cell fate and increases fibrosis
Brack, A. S., Conboy, M. J., Roy, S., Lee, M., Kuo, C. J., Keller, C., & Rando, T. A. (2007) · Science · doi:10.1126/science.1144090 · Cited by 1,564
γH2AX: a sensitive molecular marker of DNA damage and repair
Mah, L.-J., El-Osta, A., & Karagiannis, T. C. (2010) · Leukemia · doi:10.1038/leu.2010.6 · Cited by 1,557
Deficiencies in DNA damage repair limit the function of haematopoietic stem cells with age
Rossi, D. J., Bryder, D., Seita, J., Nussenzweig, A., Hoeijmakers, J., & Weissman, I. L. (2007) · Nature · doi:10.1038/nature05862 · Cited by 1,115
Vascular and Neurogenic Rejuvenation of the Aging Mouse Brain by Young Systemic Factors
Katsimpardi, L., Litterman, N. K., Schein, P. A., Miller, C. M., Loffredo, F. S., Wojtkiewicz, G. R., Chen, J. W., Lee, R. T., Wagers, A. J., & Rubin, L. L. (2014) · Science · doi:10.1126/science.1251141 · Cited by 1,037
Self-citationLoffredo, F. S., Steinhauser, M. L., Jay, S. M., Gannon, J., Pancoast, J. R., Yalamanchi, P., Sinha, M., Dall’Osso, C., Khong, D., Shadrach, J. L., et al. (2013) · Cell · doi:10.1016/j.cell.2013.04.015 · Cited by 948
Self-citationThe aged niche disrupts muscle stem cell quiescence
Chakkalakal, J. V., Jones, K. M., Basson, M. A., & Brack, A. S. (2012) · Nature · doi:10.1038/nature11438 · Cited by 851
Rejuvenation of the muscle stem cell population restores strength to injured aged muscles
Cosgrove, B. D., Gilbert, P. M., Porpiglia, E., Mourkioti, F., Lee, S. P., Corbel, S. Y., Llewellyn, M. E., Delp, S. L., & Blau, H. M. (2014) · Nature Medicine · doi:10.1038/nm.3464 · Cited by 677
Flagged first, then by citations
Cited by
Sorted by citations
TGF-β and the TGF-β family: context-dependent roles in cell and tissue physiology
Morikawa, M., Derynck, R., & Miyazono, K. (2016) · Cold Spring Harbor Perspectives in Biology · doi:10.1101/cshperspect.a021873 · Cited by 1,321
Ageing, neurodegeneration and brain rejuvenation
Wyss-Coray, T. (2016) · Nature · doi:10.1038/nature20411 · Cited by 1,147
Vascular and Neurogenic Rejuvenation of the Aging Mouse Brain by Young Systemic Factors
Katsimpardi, L., Litterman, N. K., Schein, P. A., Miller, C. M., Loffredo, F. S., Wojtkiewicz, G. R., Chen, J. W., Lee, R. T., Wagers, A. J., & Rubin, L. L. (2014) · Science · doi:10.1126/science.1251141 · Cited by 1,037
Self-citationUndulating changes in human plasma proteome profiles across the lifespan
Lehallier, B., Gate, D., Schaum, N., Nanasi, T., Lee, S. E., Yousef, H., Moran Losada, P., Berdnik, D., Keller, A., Verghese, J., et al. (2019) · Nature Medicine · doi:10.1038/s41591-019-0673-2 · Cited by 981
BMP signalling in skeletal development, disease and repair
Salazar, V. S., Gamer, L. W., & Rosen, V. (2016) · Nature Reviews Endocrinology · doi:10.1038/nrendo.2016.12 · Cited by 822
Brandhorst, S., Choi, I. Y., Wei, M., Cheng, C. W., Sedrakyan, S., Navarrete, G., Dubeau, L., Yap, L. P., Park, R., Vinciguerra, M., et al. (2015) · Cell Metabolism · doi:10.1016/j.cmet.2015.05.012 · Cited by 850
Stem cell aging: mechanisms, regulators and therapeutic opportunities
Oh, J., Lee, Y. D., & Wagers, A. J. (2014) · Nature Medicine · doi:10.1038/nm.3651 · Cited by 796
Self-citationThe Role of Inflammation in Age-Related Sarcopenia
Dalle, S., Rossmeislova, L., & Koppo, K. (2017) · Frontiers in Physiology · doi:10.3389/fphys.2017.01045 · Cited by 668
Human Umbilical Cord Mesenchymal Stem Cells: A New Era for Stem Cell Therapy
Ding, D., Chang, Y., Shyu, W., & Lin, S. (2015) · Cell Transplantation · doi:10.3727/096368915x686841 · Cited by 615
Measuring biological age using omics data
Rutledge, J., Oh, H., & Wyss-Coray, T. (2022) · Nature Reviews Genetics · doi:10.1038/s41576-022-00511-7 · Cited by 570
Panduro, M., Benoist, C., & Mathis, D. (2016) · Annual Review of Immunology · doi:10.1146/annurev-immunol-032712-095948 · Cited by 536
Molecular and physiological manifestations and measurement of aging in humans
Khan, S. S., Singer, B. D., & Vaughan, D. E. (2017) · Aging Cell · doi:10.1111/acel.12601 · Cited by 530
GDF11 increases with age and inhibits skeletal muscle regeneration
Egerman, M. A., Cadena, S. M., Gilbert, J. A., Meyer, A., Nelson, H. N., Swalley, S. E., Mallozzi, C., Jacobi, C., Jennings, L. L., Clay, I., et al. (2015) · Cell Metabolism · doi:10.1016/j.cmet.2015.05.010 · Cited by 527
Kuswanto, W. F., Burzyn, D., Panduro, M., Wang, K. K., Jang, Y. C., Wagers, A. J., Benoist, C. O., & Mathis, D. J. (2016) · Immunity · doi:10.1016/j.immuni.2016.01.009 · Cited by 529
Self-citationBooth, L. N., & Brunet, A. (2016) · Molecular Cell · doi:10.1016/j.molcel.2016.05.013 · Cited by 499
Horowitz, A. M., Fan, X., Bieri, G., Smith, L. K., Sanchez-Diaz, C. I., Schroer, A. B., Gontier, G., Casaletto, K. B., Kramer, J. H., Williams, K. E., et al. (2020) · Science · doi:10.1126/science.aaw2622 · Cited by 496
Renal Aging: Causes and Consequences
O’Sullivan, E. D., Hughes, J., & Ferenbach, D. A. (2017) · Journal of the American Society of Nephrology · doi:10.1681/asn.2015121308 · Cited by 484
The quest to slow ageing through drug discovery
Partridge, L., Fuentealba, M., & Kennedy, B. K. (2020) · Nature Reviews Drug Discovery · doi:10.1038/s41573-020-0067-7 · Cited by 468
Human umbilical cord plasma proteins revitalize hippocampal function in aged mice
Castellano, J. M., Mosher, K. I., Abbey, R. J., McBride, A. A., James, M. L., Berdnik, D., Shen, J. C., Zou, B., Xie, X. S., Tingle, M., et al. (2017) · Nature · doi:10.1038/nature22067 · Cited by 445
Aging and Autophagy in the Heart
Shirakabe, A., Ikeda, Y., Sciarretta, S., Zablocki, D., & Sadoshima, J. (2016) · Circulation Research · doi:10.1161/circresaha.116.307474 · Cited by 448
The central role of muscle stem cells in regenerative failure with aging
Blau, H. M., Cosgrove, B. D., & Ho, A. T. V. (2015) · Nature Medicine · doi:10.1038/nm.3918 · Cited by 437
Fry, C. S., Lee, J. D., Mula, J., Kirby, T. J., Jackson, J. R., Liu, F., Yang, L., Mendias, C. L., Dupont-Versteegden, E. E., McCarthy, J. J., et al. (2015) · Nature Medicine · doi:10.1038/nm.3710 · Cited by 432
Programmed cell death in aging
Tower, J. (2015) · Ageing Research Reviews · doi:10.1016/j.arr.2015.04.002 · Cited by 426
Cai, Y., Song, W., Li, J., Jing, Y., Liang, C., Zhang, L., Zhang, X., Zhang, W., Liu, B., An, Y., et al. (2022) · Science China Life Sciences · doi:10.1007/s11427-022-2161-3 · Cited by 450
Zhu, X., Chen, Z., Shen, W., Huang, G., Sedivy, J. M., Wang, H., & Ju, Z. (2021) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-021-00646-9 · Cited by 425
Microglia Priming with Aging and Stress
Niraula, A., Sheridan, J. F., & Godbout, J. P. (2017) · Neuropsychopharmacology · doi:10.1038/npp.2016.185 · Cited by 398
Cognitive frailty, a novel target for the prevention of elderly dependency
Ruan, Q., Yu, Z., Ma, C., Bao, Z., Li, J., & He, W. (2014) · Ageing Research Reviews · doi:10.1016/j.arr.2014.12.004 · Cited by 392
Chronic kidney disease and premature ageing
Kooman, J. P., Kotanko, P., Schols, A. M. W. J., Shiels, P. G., & Stenvinkel, P. (2014) · Nature Reviews Nephrology · doi:10.1038/nrneph.2014.185 · Cited by 390
Oligodendrocyte Progenitor Cells Become Regionally Diverse and Heterogeneous with Age
Spitzer, S. O., Sitnikov, S., Kamen, Y., Evans, K. A., Kronenberg-Versteeg, D., Dietmann, S., de Faria, O., Agathou, S., & Káradóttir, R. T. (2019) · Neuron · doi:10.1016/j.neuron.2018.12.020 · Cited by 364
Vitale, I., Manic, G., De Maria, R., Kroemer, G., & Galluzzi, L. (2017) · Molecular Cell · doi:10.1016/j.molcel.2017.04.006 · Cited by 361
Satellite cells in human skeletal muscle plasticity
Snijders, T., Nederveen, J. P., McKay, B. R., Joanisse, S., Verdijk, L. B., van Loon, L. J. C., & Parise, G. (2015) · Frontiers in Physiology · doi:10.3389/fphys.2015.00283 · Cited by 381
Goodell, M. A., & Rando, T. A. (2015) · Science · doi:10.1126/science.aab3388 · Cited by 347
Muscle as a “Mediator” of Systemic Metabolism
Baskin, K. K., Winders, B. R., & Olson, E. N. (2015) · Cell Metabolism · doi:10.1016/j.cmet.2014.12.021 · Cited by 333
When stem cells grow old: phenotypes and mechanisms of stem cell aging
Schultz, M. B., & Sinclair, D. A. (2016) · Development · doi:10.1242/dev.130633 · Cited by 341
Molecular circuitry of stem cell fate in skeletal muscle regeneration, ageing and disease
Almada, A. E., & Wagers, A. J. (2016) · Nature Reviews Molecular Cell Biology · doi:10.1038/nrm.2016.7 · Cited by 322
Self-citationCharacterization of bone marrow-derived mesenchymal stem cells in aging
Baker, N., Boyette, L. B., & Tuan, R. S. (2014) · Bone · doi:10.1016/j.bone.2014.10.014 · Cited by 287
Anemia: progress in molecular mechanisms and therapies
Sankaran, V. G., & Weiss, M. J. (2015) · Nature Medicine · doi:10.1038/nm.3814 · Cited by 290
Inflammation induced loss of skeletal muscle
Londhe, P., & Guttridge, D. C. (2015) · Bone · doi:10.1016/j.bone.2015.03.015 · Cited by 276
Takizawa, H., Fritsch, K., Kovtonyuk, L. V., Saito, Y., Yakkala, C., Jacobs, K., Ahuja, A. K., Lopes, M., Hausmann, A., Hardt, W., et al. (2017) · Cell stem cell · doi:10.1016/j.stem.2017.06.013 · Cited by 282
Cellular and epigenetic drivers of stem cell ageing
Ermolaeva, M., Neri, F., Ori, A., & Rudolph, K. L. (2018) · Nature Reviews Molecular Cell Biology · doi:10.1038/s41580-018-0020-3 · Cited by 272
Targeting Age-Related Pathways in Heart Failure
Li, H., Hastings, M. H., Rhee, J., Trager, L. E., Roh, J. D., & Rosenzweig, A. (2020) · Circulation Research · doi:10.1161/circresaha.119.315889 · Cited by 276
Regulation of adult stem cell quiescence and its functions in the maintenance of tissue integrity
de Morrée, A., & Rando, T. A. (2023) · Nature Reviews Molecular Cell Biology · doi:10.1038/s41580-022-00568-6 · Cited by 258
Molecular mechanisms of renal aging
Schmitt, R., & Melk, A. (2017) · Kidney International · doi:10.1016/j.kint.2017.02.036 · Cited by 235
Sarcopenia and Muscle Aging: A Brief Overview
Dao, T., Green, A. E., Kim, Y.-A., Bae, S., Ha, K., Gariani, K., Lee, M.-R., Menzies, K. J., & Ryu, D. (2020) · Endocrinology and Metabolism · doi:10.3803/enm.2020.405 · Cited by 249
Pharmacologic Options for the Treatment of Sarcopenia
Morley, J. E. (2016) · Calcified Tissue International · doi:10.1007/s00223-015-0022-5 · Cited by 225
Interorgan Communication Pathways in Physiology: Focus on Drosophila
Droujinine, I. A., & Perrimon, N. (2016) · Annual Review of Genetics · doi:10.1146/annurev-genet-121415-122024 · Cited by 211
Relevance of the p53–MDM2 axis to aging
Wu, D., & Prives, C. (2018) · Cell Death & Differentiation · doi:10.1038/cdd.2017.187 · Cited by 215
Peripheral immune system in aging and Alzheimer’s disease
Cao, W., & Zheng, H. (2018) · Molecular Neurodegeneration · doi:10.1186/s13024-018-0284-2 · Cited by 214
Biochemistry and Biology of GDF11 and Myostatin
Walker, R. G., Poggioli, T., Katsimpardi, L., Buchanan, S. M., Oh, J., Wattrus, S. J., Heidecker, B., Fong, Y. W., Rubin, L. L., Ganz, P., et al. (2016) · Circulation Research · doi:10.1161/circresaha.116.308391 · Cited by 217
Self-citationAging alters the immunological response to ischemic stroke
Ritzel, R. M., Lai, Y., Crapser, J. D., Patel, A. R., Schrecengost, A., Grenier, J. M., Mancini, N. S., Patrizz, A., Jellison, E. R., Morales‐Scheihing, D., et al. (2018) · Acta Neuropathologica · doi:10.1007/s00401-018-1859-2 · Cited by 214
Quantification of GDF11 and Myostatin in Human Aging and Cardiovascular Disease
Schafer, M. J., Atkinson, E. J., Vanderboom, P. M., Kotajarvi, B. R., White, T. A., Moore, M. M., Bruce, C. J., Greason, K. L., Suri, R. M., Khosla, S., et al. (2016) · Cell Metabolism · doi:10.1016/j.cmet.2016.05.023 · Cited by 211
Yang, J., Huang, T., Petralia, F., Long, Q., Zhang, B., Argmann, C., Zhao, Y. B., Mobbs, C. V., Schadt, E. E., Zhu, J., et al. (2015) · Scientific Reports · doi:10.1038/srep15145 · Cited by 200
Ahmed, A. S. I., Sheng, M. H. ‐., Wasnik, S., Baylink, D. J., & Lau, K. ‐. W. (2017) · World Journal of Experimental Medicine · doi:10.5493/wjem.v7.i1.1 · Cited by 212
Fujita, Y., Taniguchi, Y., Shinkai, S., Tanaka, M., & Ito, M. (2016) · Geriatrics and gerontology international/Geriatrics & gerontology international · doi:10.1111/ggi.12724 · Cited by 206
Gontier, G., Iyer, M., Shea, J. M., Bieri, G., Wheatley, E. G., Ramalho-Santos, M., & Villeda, S. A. (2018) · Cell Reports · doi:10.1016/j.celrep.2018.02.001 · Cited by 197
Circulating Growth Differentiation Factor 11/8 Levels Decline With Age
Poggioli, T., Vujić, A., Yang, P., Macias-Treviño, C., Uygur, A., Loffredo, F. S., Pancoast, J. R., Cho, M., Goldstein, J., Tandias, R. M., et al. (2015) · Circulation Research · doi:10.1161/circresaha.115.307521 · Cited by 192
Self-citationThe aging skin microenvironment dictates stem cell behavior
Ge, Y., Miao, Y., Gur-Cohen, S., Gomez, N., Yang, H., Nikolova, M., Polak, L., Hu, Y., Verma, A., Elemento, O., et al. (2020) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1901720117 · Cited by 190
Buckley, M. T., Sun, E., George, B. M., Liu, L. A., Schaum, N., Xu, L., Reyes, J. M., Goodell, M. A., Weissman, I. L., Wyss‐Coray, T., et al. (2022) · Nature Aging · doi:10.1038/s43587-022-00335-4 · Cited by 201
Programming and Reprogramming Cellular Age in the Era of Induced Pluripotency
Studer, L., Vera, E., & Cornacchia, D. (2015) · Cell stem cell · doi:10.1016/j.stem.2015.05.004 · Cited by 192
Stenvinkel, P., Carrero, J. J., von Walden, F., Ikizler, T. A., & Nader, G. A. (2015) · Nephrology Dialysis Transplantation · doi:10.1093/ndt/gfv122 · Cited by 193
Activin A more prominently regulates muscle mass in primates than does GDF8
Latres, E., Mastaitis, J., Fury, W., Miloscio, L., Trejos, J., Pangilinan, J., Okamoto, H., Cavino, K., Na, E., Papatheodorou, A., et al. (2017) · Nature Communications · doi:10.1038/ncomms15153 · Cited by 185
GDF11 Does Not Rescue Aging-Related Pathological Hypertrophy
Smith, S., Zhang, X., Zhang, X., Gross, P., Starosta, T., Mohsin, S., Franti, M., Gupta, P., Hayes, D., Myzithras, M., et al. (2015) · Circulation Research · doi:10.1161/circresaha.115.307527 · Cited by 189
Skeletal muscle autophagy and its role in sarcopenia and organismal aging
Jiao, J., & Demontis, F. (2017) · Current Opinion in Pharmacology · doi:10.1016/j.coph.2017.03.009 · Cited by 184
Epigenetic Control of Stem Cell Potential during Homeostasis, Aging, and Disease
Beerman, I., & Rossi, D. J. (2015) · Cell stem cell · doi:10.1016/j.stem.2015.05.009 · Cited by 182
The caspase‐activated DN ase: apoptosis and beyond
Larsen, B. D., & Sørensen, C. S. (2016) · FEBS Journal · doi:10.1111/febs.13970 · Cited by 180
Exercise‐stimulated interleukin‐15 is controlled by AMPK and regulates skin metabolism and aging
Crane, J. D., MacNeil, L. G., Lally, J. S., Ford, R. J., Bujak, A. L., Brar, I. K., Kemp, B. E., Raha, S., Steinberg, G. R., & Tarnopolsky, M. A. (2015) · Aging Cell · doi:10.1111/acel.12341 · Cited by 179
Lei, Q., Gao, F., Liu, T., Ren, W., Chen, L., Cao, Y., Chen, W., Guo, S., Zhang, Q., Chen, W., et al. (2021) · Science Translational Medicine · doi:10.1126/scitranslmed.aaz8697 · Cited by 170
Stem Cell Aging in Skeletal Muscle Regeneration and Disease
Yamakawa, H., Kusumoto, D., Hashimoto, H., & Yuasa, S. (2020) · International Journal of Molecular Sciences · doi:10.3390/ijms21051830 · Cited by 187
The ins and outs of muscle stem cell aging
Brack, A. S., & Muñoz-Cánoves, P. (2015) · Skeletal Muscle · doi:10.1186/s13395-016-0072-z · Cited by 166
Sahu, A., Mamiya, H., Shinde, S. N., Cheikhi, A., Winter, L., Vo, N. V., Stolz, D. B., Roginskaya, V. Y., Tang, W., Croix, C. M. S., et al. (2018) · Nature Communications · doi:10.1038/s41467-018-07253-3 · Cited by 178
DNA methylation-based age clocks: From age prediction to age reversion
Noroozi, R., Ghafouri‐Fard, S., Pisarek, A., Rudnicka, J., Spólnicka, M., Branicki, W., Taheri, M. N., & Pośpiech, E. (2021) · Ageing Research Reviews · doi:10.1016/j.arr.2021.101314 · Cited by 171
Muscle stem cell aging: regulation and rejuvenation
Sousa-Victor, P., García-Prat, L., Serrano, A. L., Perdiguero, E., & Muñoz-Cánoves, P. (2015) · Trends in Endocrinology & Metabolism · doi:10.1016/j.tem.2015.03.006 · Cited by 163
Turning back time with emerging rejuvenation strategies
Mahmoudi, S., Xu, L., & Brunet, A. (2018) · Nature Cell Biology · doi:10.1038/s41556-018-0206-0 · Cited by 171
Distinct longevity mechanisms across and within species and their association with aging
Tyshkovskiy, A., Ma, S., Shindyapina, A. V., Tikhonov, S., Lee, S.-G., Bozaykut, P., Castro, J. P., Seluanov, A., Schork, N. J., Gorbunova, V., et al. (2023) · Cell · doi:10.1016/j.cell.2023.05.002 · Cited by 162
Farup, J., Madaro, L., Puri, P., & Mikkelsen, U. R. (2015) · Cell Death and Disease · doi:10.1038/cddis.2015.198 · Cited by 162
Regulation of Satellite Cell Function in Sarcopenia
Alway, S. E., Myers, M. J., & Mohamed, J. S. (2014) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2014.00246 · Cited by 163
Suppression of the SWI/SNF Component Arid1a Promotes Mammalian Regeneration
Sun, X., Chuang, J.-C., Kanchwala, M., Wu, L., Celen, C., Li, L., Liang, H., Zhang, S., Maples, T., Nguyen, L. H., et al. (2016) · Cell Stem Cell · doi:10.1016/j.stem.2016.03.001 · Cited by 161
Myostatin as a Biomarker of Muscle Wasting and other Pathologies-State of the Art and Knowledge Gaps
Bączek, J., Silkiewicz, M., & Wojszel, Z. B. (2020) · Nutrients · doi:10.3390/nu12082401 · Cited by 166
Qiu, X., Liu, J., Zheng, C., Su, Y.-T., Bao, L., Zhu, B., Liu, S., Wang, L., Wang, X., Wang, Y., et al. (2020) · Cell Proliferation · doi:10.1111/cpr.12830 · Cited by 159
Liu, W., Zhou, L., Zhou, C., Zhang, S., Jing, J., Xie, L., Sun, N., Duan, X., Jing, W., Liang, X., et al. (2016) · Nature Communications · doi:10.1038/ncomms12794 · Cited by 159
Rejuvenating Strategies for Stem Cell-Based Therapies in Aging
Neves, J., Sousa‐Victor, P., & Jasper, H. (2017) · Cell stem cell · doi:10.1016/j.stem.2017.01.008 · Cited by 160
Regulatory T cells and skeletal muscle regeneration
Schiaffino, S., Pereira, M. G., Ciciliot, S., & Rovere, P. Q. (2016) · FEBS Journal · doi:10.1111/febs.13827 · Cited by 159
Activin type II receptor signaling in cardiac aging and heart failure
Roh, J. D., Hobson, R., Chaudhari, V., Quintero, P. A., Yeri, A., Benson, M. D., Xiao, C., Zlotoff, D. A., Bezzerides, V. J., Houstis, N. E., et al. (2019) · Science Translational Medicine · doi:10.1126/scitranslmed.aau8680 · Cited by 148
Regenerative decline of stem cells in sarcopenia
Sousa-Victor, P., & Muñoz-Cánoves, P. (2016) · Molecular Aspects of Medicine · doi:10.1016/j.mam.2016.02.002 · Cited by 147
Latres, E., Pangilinan, J., Miloscio, L., Bauerlein, R., Na, E., Potocky, T. B., Huang, Y., Eckersdorff, M., Rafique, A., Mastaitis, J., et al. (2015) · Skeletal Muscle · doi:10.1186/s13395-015-0060-8 · Cited by 143
Morvan, F., Rondeau, J.-M., Zou, C., Minetti, G., Scheufler, C., Scharenberg, M., Jacobi, C., Brebbia, P., Ritter, V., Toussaint, G., et al. (2017) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1707925114 · Cited by 142
Experimental Models of Sarcopenia: Bridging Molecular Mechanism and Therapeutic Strategy
Mankhong, S., Kim, S., Moon, S., Kwak, H., Park, D., & Kang, J. (2020) · Cells · doi:10.3390/cells9061385 · Cited by 150
Vi, L., Baht, G. S., Soderblom, E. J., Whetstone, H., Wei, Q., Furman, B., Puviindran, V., Nadesan, P., Foster, M., Poon, R., et al. (2018) · Nature Communications · doi:10.1038/s41467-018-07666-0 · Cited by 140
The role of adipose tissue senescence in obesity- and ageing-related metabolic disorders
Liu, Z., Wu, K. K.-L., Jiang, X. X., Xu, A., & Cheng, K. K. Y. (2020) · Clinical Science · doi:10.1042/cs20190966 · Cited by 148
Strategies and Challenges in Clinical Trials Targeting Human Aging
Newman, J. C., Milman, S., Hashmi, S. K., Austad, S. N., Kirkland, J. L., Halter, J. B., & Barzilai, N. (2016) · The Journals of Gerontology Series A · doi:10.1093/gerona/glw149 · Cited by 141
Neurogenesis in the aging brain
Apple, D. M., Fonseca, R. S., & Kokovay, E. (2017) · Biochemical Pharmacology · doi:10.1016/j.bcp.2017.06.116 · Cited by 145
Epigenetic stress responses induce muscle stem-cell ageing by Hoxa9 developmental signals
Schwörer, S., Becker, F., Feller, C., Baig, A. H., Köber, U., Henze, H., Kraus, J. M., Xin, B., Lechel, A., Lipka, D. B., et al. (2016) · Nature · doi:10.1038/nature20603 · Cited by 132
Skeletal muscle stem cells in comfort and stress
Evano, B., & Tajbakhsh, S. (2018) · npj Regenerative Medicine · doi:10.1038/s41536-018-0062-3 · Cited by 144
Impaired proteostasis during skeletal muscle aging
Fernando, R., Drescher, C., Nowotny, K., Grune, T., & Castro, J. P. (2019) · Free Radical Biology and Medicine · doi:10.1016/j.freeradbiomed.2018.08.037 · Cited by 134
Regenerative function of immune system: Modulation of muscle stem cells
Saini, J., McPhee, J. S., Al-Dabbagh, S., Stewart, C. E., & Al‐Shanti, N. (2016) · Ageing Research Reviews · doi:10.1016/j.arr.2016.03.006 · Cited by 130
Hadjiargyrou, M., & O’Keefe, R. J. (2014) · Journal of Bone and Mineral Research · doi:10.1002/jbmr.2373 · Cited by 127
Cellular reprogramming and epigenetic rejuvenation
Simpson, D. J., Olova, N. N., & Chandra, T. (2021) · Clinical Epigenetics · doi:10.1186/s13148-021-01158-7 · Cited by 127
Systemic Nutrient and Stress Signaling via Myokines and Myometabolites
Rai, M., & Demontis, F. (2016) · Annual Review of Physiology · doi:10.1146/annurev-physiol-021115-105305 · Cited by 123
Mechanisms of Hippocampal Aging and the Potential for Rejuvenation
Fan, X., Wheatley, E., & Villeda, S. (2017) · Annual Review of Neuroscience · doi:10.1146/annurev-neuro-072116-031357 · Cited by 132
Rivella, S. (2015) · Haematologica · doi:10.3324/haematol.2014.114827 · Cited by 125
Metadata
- Authors
- Sinha, M., Jang, Y. C., Oh, J., Khong, D., Wu, E. Y., Manohar, R., Miller, C., Regalado, S. G., Loffredo, F. S., Pancoast, J. R., Hirshman, M. F., Lebowitz, J., Shadrach, J. L., Cerletti, M., Kim, M.-J., Serwold, T., Goodyear, L. J., Rosner, B., Lee, R. T., & Wagers, A. J.
- Affiliations
- Joslin Diabetes Center (US)
- Harvard University (US)
- Brigham and Women's Hospital (US)
- Corresponding author
- Sinha, Manisha
- Jang, Young C.
- Wagers, Amy J.
- ORCID
- Venue
- Science
- Published
- 2014-05-09
- Volume
- 344
- Issue
- 6184
- Pages
- 649-652
- ISSN
- 0036-8075 (ISSN-L)
- 1095-9203
- PMC
- PMC4104429
- OpenAlex
- W1998004606
- Cited by
- 824
- References
- 25
- Citations by year
- 2026: 31 · 2025: 43 · 2024: 43 · 2023: 52 · 2022: 57 · 2021: 56 · 2020: 66 · 2019: 68 · 2018: 80 · 2017: 94 · 2016: 98 · 2015: 93 · 2014: 42
- FWCI
- 41.15
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Science (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Archivio Istituzionale della Ricerca - Università degli Studi della Campania "Luigi Vanvitelli" (submittedVersion)
- Digital Access to Scholarship at Harvard (DASH) (Harvard University) (submittedVersion, cc-by)
- UCL Discovery (University College London) (submittedVersion)
- Funders
- Howard Hughes Medical Institute
- American Heart Association
- Abbott Laboratories
- Glenn Foundation for Medical Research
- Amgen
- Eli Lilly and Company
- Colgate-Palmolive Company
- Brigham and Women's Hospital
- Harvard University
- National Institutes of Health (1dp2od004345-01)
- Harvard Stem Cell Institute
- National Institute on Aging (R01AG033053, R01AG032977, R01AG040019)
- National Heart, Lung, and Blood Institute (U01HL100402)
- National Institute of Diabetes and Digestive and Kidney Diseases (P30DK036836)
- National Institute of Arthritis and Musculoskeletal and Skin Diseases (R01AR042238)
- National Institute of Dental and Craniofacial Research (T32DE007057)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Muscle Physiology and Disorders
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Cell Biology › Telomeres, Telomerase, and Senescence
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Aging › Genetics, Aging, and Longevity in Model Organisms
- Keywords
- GDF11, muscle aging, skeletal muscle regeneration, heterochronic parabiosis, satellite cells, muscle stem cells, genome stability, exercise capacity
- MeSH terms
- Age Factors, Aging, Animals, Male, Mice, Inbred C57BL, Parabiosis, Regeneration, Rejuvenation, Muscle, Skeletal, Bone Morphogenetic Proteins, Myoblasts, Skeletal, Mice, Growth Differentiation Factors
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
