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Growth Differentiation Factor 11 Is a Circulating Factor that Reverses Age-Related Cardiac Hypertrophy
Open accessAbstract
The most common form of heart failure occurs with normal systolic function and often involves cardiac hypertrophy in the elderly. To clarify the biological mechanisms that drive cardiac hypertrophy in aging, we tested the influence of circulating factors using heterochronic parabiosis, a surgical technique in which joining of animals of different ages leads to a shared circulation. After 4 weeks of exposure to the circulation of young mice, cardiac hypertrophy in old mice dramatically regressed, accompanied by reduced cardiomyocyte size and molecular remodeling. Reversal of age-related hypertrophy was not attributable to hemodynamic or behavioral effects of parabiosis, implicating a blood-borne factor. Using modified aptamer-based proteomics, we identified the TGF-β superfamily member GDF11 as a circulating factor in young mice that declines with age. Treatment of old mice to restore GDF11 to youthful levels recapitulated the effects of parabiosis and reversed age-related hypertrophy, revealing a therapeutic opportunity for cardiac aging.
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“the rejuvenation strategies based on the use of blood-borne systemic factors identified in parabiosis experiments (Conboy et al., 2005; Loffredo et al., 2013; Villeda et al., 2011).”
From The Hallmarks of Aging (2013) · cites this paper as Loffredo et al., 2013
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“Excitingly, proof of principle exists for rejuvenation through blood-borne systemic factors (Conboy et al., 2005; Loffredo et al., 2013; Villeda et al., 2011).”
From The Hallmarks of Aging (2013) · cites this paper as Loffredo et al., 2013
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“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 [44]
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 [168]
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 [109]
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Citations
Cites
2013 ACCF/AHA Guideline for the Management of Heart Failure
Yancy, C. W., Jessup, M., Bozkurt, B., Butler, J., Casey, D. E., Drazner, M. H., Fonarow, G. C., Geraci, S. A., Horwich, T., Januzzi, J. L., et al. (2013) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2013.05.019 · Cited by 12,536
Tuerk, C., & Gold, L. (1990) · Science · doi:10.1126/science.2200121 · Cited by 10,421 · cited 1×
“SOMAmers (Slow Off-rate Modified Aptamers) are nucleic acid-based protein binding reagents evolved through SELEX (Tuerk and Gold, 1990) to bind protein targets.”
Levy, D., Garrison, R. J., Savage, D. D., Kannel, W. B., & Castelli, W. P. (1990) · New England Journal of Medicine · doi:10.1056/nejm199005313222203 · Cited by 5,699
Hunt, S. A., Abraham, W. T., Chin, M. H., Feldman, A. M., Francis, G. S., Ganiats, T. G., Jessup, M. L., Konstam, M. A., MANCINI, D. M., Michl, K., et al. (2009) · Circulation · doi:10.1161/circulationaha.109.192065 · Cited by 3,739
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 · cited 1×
“Although it is plausible that the antihypertrophic effect of rGDF11 is mediated by FoxO-dependent proteasomemediated protein degradation (Sandri et al., 2004), our data do not explain the differential effects of rGDF11 and myostatin.”
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 · cited 4×
“…can significantly impact the function of aging tissues, as indicated by the restoration of appropriate activation and function of endogenous, ''old'' skeletal muscle satellite cells and successful muscle repair after injury following exposure to a ''youthful'' systemic milieu (Conboy et al., 2005).”
InfluentialSelf-citationThe ageing systemic milieu negatively regulates neurogenesis and cognitive function
Villeda, S. A., Luo, J., Mosher, K. I., Zou, B., Britschgi, M., Bieri, G., Stan, T. M., Fainberg, N., Ding, Z., Eggel, A., et al. (2011) · Nature · doi:10.1038/nature10357 · Cited by 1,763 · cited 2×
“Conversely, exposing a young mouse to an old systemic environment can inhibit myogenesis (Brack et al., 2007) and neurogenesis (Villeda et al., 2011) in the young mouse.”
Aptamer-Based Multiplexed Proteomic Technology for Biomarker Discovery
Gold, L., Ayers, D., Bertino, J., Bock, C., Bock, A., Brody, E. N., Carter, J., Dalby, A. B., Eaton, B. E., Fitzwater, T., et al. (2010) · PLoS ONE · doi:10.1371/journal.pone.0015004 · Cited by 1,754 · cited 1×
“The SOMAmer quantity is measured by hybridization to microarrays (for a full description, see Gold et al., 2010).”
Self-citationHaematopoietic stem cells adopt mature haematopoietic fates in ischaemic myocardium
Balsam, L. B., Wagers, A. J., Christensen, J. L., Kofidis, T., Weissman, I. L., & Robbins, R. C. (2004) · Nature · doi:10.1038/nature02460 · Cited by 1,737 · cited 2×
“…solely through their common circulation, parabiosis is a powerful model to determine whether circulating factors can alter tissue function (Balsam et al., 2004; Brack et al., 2007; Conboy et al., 2005; Eggan et al., 2006; Ruckh et al., 2012; Sherwood et al., 2004; Villeda et al., 2011;…”
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 · cited 4×
“Conversely, exposing a young mouse to an old systemic environment can inhibit myogenesis (Brack et al., 2007) and neurogenesis (Villeda et al., 2011) in the young mouse.”
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Items 901–948 of 948
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Congdon, S. T., Bennett, J. E., Opinya, R., Agosto, A. R., Dossias, O., Kokko, C., Levesque, A. A., Koob, A. O., Silver, A. C., & Thomas-Charles, C. A. (2025) · Human Genetics and Genomics Advances · doi:10.1016/j.xhgg.2025.100559
“18,21,22 The pathogenicity of the GDF11 Tyr336* variant has previously been assessed in model organisms, including zebrafish, where the introduction of insertions or deletions (indels) near the orthologous tyrosine residue resulted in a frameshift mutation (Phe308Glyfs*53).”
Yan, C., Li, N., Tong, X., Ye, X., Fu, L., Ye, Y., Xu, T., & Yu, J. (2022) · Figshare · doi:10.6084/m9.figshare.19766531
Zeng, X., Liao, Y., Wu, X., Xu, J., Da, C., Tan, Z., Feng, F., Yin, W., Wang, D., & Hu, X. (2020) · Figshare · doi:10.6084/m9.figshare.12629076
Zhang, J., Wang, G., Shi, Y., Liu, X., Liu, S., Chen, W., Ning, Y., Cao, Y., Zhao, Y., & Li, M. (2024) · Figshare · doi:10.6084/m9.figshare.25770410
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Moldakozhayev, A., Tyshkovskiy, A., Nigro, P., Zhang, Z., Tskhay, A., de Magalhães, C. G., Yadav, S., Ying, K., Eames, A., Poganik, J. R., et al. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2025.12.28.696721
Zhang, J. S., Pan, Y., Gong, Y., Kong, B., Chen, T., Shuai, W., & Huang, H. (2026) · Journal of the American Heart Association · doi:10.1161/jaha.125.044103
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“GDF11 levels decline with age, and supplementation in aged mice reversed cardiac hypertrophy [ 7 ] and restored skeletal muscle stem cell function [ 7 ].”
Cai, J., Zhang, J., Ning, Y., Zhang, J., Xu, T., Liu, M., Wang, K., & Chen, H. (2026) · Aging Cell · doi:10.1111/acel.70400
“…al. 2022), while multiple elegant studies about heterochronic parabiosis and young plasma transfer can rejuvenate old tissues and aging-related molecular phenotype and behavior (Carlson et al. 2009; Conboy et al. 2005; Loffredo et al. 2013; Sinha et al. 2014; Villeda et al. 2014; Jeon et al. 2022).”
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“GDF11 levels reverse age-related cardiac hypertrophy and decrease with age [22,23].”
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Chen, R., Dai, X., Wang, H., Zhang, T., Zhang, Z., Liu, Y., & Fan, Z. (2026) · Frontiers in Aging · doi:10.3389/fragi.2026.1736069
“…as a “youth factor,” with preliminary studies indicating a decline in its levels with age and suggesting that supplementation could rejuvenate cardiac and skeletal muscle function (Frohlich et al., 2022; Lehallier et al., 2019; Loffredo et al., 2013; Sinha et al., 2014; Jin et al., 2019).”
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“1,46,49 At low doses of GDF11, TGFBR3 enhances R-SMAD signaling in MCF10A cells, 41 suggesting a noncanonical +,– trend that contrasts the purely inhibitory effect of TGFBR3 on TGFβ1 signaling (Figure 3I).”
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Shafey, N. E. (2014) · theses.fr (ABES) · doi:10.70675/58061adbze0dfz4309zafc4za044df2c7bed
Lemey, C. (2017) · theses.fr (ABES) · doi:10.70675/14dca0fcze537z4da0z9184z9b59c260ea88
Caractérisation de la sénescence des cardiomyocytes et identification de marqueurs associés
Maggiorani, D. (2017) · theses.fr (ABES) · doi:10.70675/a58747bczd60bz4482za3b2z7ae33d26ffa4
“Les auteurs démontrent le rôle de GDF11 dans la protection du vieillissement cardiaque (réversion l’hypertrophie de cardiomyocytes, diminution de l’expression de l’ANP et du BNP) via des expériences de parabiose (Loffredo et al., 2013).”
BackgroundLe rôle de GDF11 dans les leucémies aiguës myéloïdes
Siavellis, J. (2021) · theses.fr (ABES) · doi:10.70675/b953e730zc0bez4347za9e4z561daebbcc2d
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Alle, Q. (2020) · theses.fr (ABES) · doi:10.70675/932e617bzcb45z4332z8badzfda37d5299a8
Li, X. D., Ma, G., Wang, F., Ding, Z., Chen, Y., Cheng, S., Pang, W., Chen, L., & Cao, H. (2026) · Molecular Therapy · doi:10.1016/j.ymthe.2026.05.015
Wang, H. Z., Cohen, O. S., Driss, L. B., Cantillana, V., Wang, Y., Sinha, M., Deshpande, A., Daman, T. H., Faw, T. D., Laskowitz, D. T., et al. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.06.04.730114
Self-citationGDF-11 triggers cold-induced browning and metabolic activation of adipose tissue
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“Subsequent proteomic analyses identi fi ed GDF-11 as a candidate factor reduced with aging [23].”
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Zhang, C. P., Gao, Y., Shen, Y., Yu, L., & Ma, H. (2026) · Ageing Research Reviews · doi:10.1016/j.arr.2026.103212
Zhang, Z. D., Yan, M., Huang, W., Chen, Y., Lv, T., & Chen, W. (2026) · CNS Neuroscience & Therapeutics · doi:10.1002/cns.71000
Wang, S., Luo, Y., Chiu, C., Gathrie, G., Xu, G., Amei, A., Zhang, J., Wang, Z., Fang, H., Wilson, A. F., et al. (2026) · Statistics in Biosciences · doi:10.1007/s12561-026-09530-y
Che, Y., & Yang, J. (2026) · Frontiers in Medicine · doi:10.3389/fmed.2026.1872411
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Wang, R., Tabrizian, T., Wang, D., English, J., Ayer, A., Gal, M., Yang, W., Wu, Z., Mao, K., Novaj, A., et al. (2026) · Nature Aging · doi:10.1038/s43587-026-01170-7
Li, F., Wang, Y., Wang, G., Chen, J., & Huang, S. (2026) · Aging Cell · doi:10.1111/acel.70658
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Sewell, P. E. (2026) · Aging · doi:10.18632/aging.206416
“GDF11 emerged from parabiosis experiments as a putative circulating rejuvenation factor [107 – 109].”
Aung, S., Phyu, S. E., Giribabu, N., & Salleh, N. (2026) · Biogerontology · doi:10.1007/s10522-026-10482-5
“Early work using a heterochronic parabiosis model reported that restoring youthful GDF11 levels reversed age-related cardiac hypertrophy, suggesting a cardioprotective effect in the aged heart (Loffredo et al. 2013).”
Wang, L., Zhao, Y., Zhang, R., Ning, X., & Jin, B. (2026) · International Journal of Molecular Sciences · doi:10.3390/ijms27177793
“These examples show why publication type, experimental model, measured endpoint, and contradictory evidence must be checked before a molecular association is incorporated into a cardiovascular mechanism [62,84,93,102,108,109].”
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Zhang, J., Su, W., Duan, J., Sun, Y., & Liu, B. (2026) · The Innovation Life · doi:10.59717/j.xinn-life.2026.100262
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Metadata
- Authors
- Loffredo, 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., Miller, C. M., Singer, B. S., Stewart, A., Psychogios, N., Gerszten, R. E., Hartigan, A. J., Kim, M.-J., Serwold, T., Wagers, A. J., & Lee, R. T.
- Affiliations
- Brigham and Women's Hospital (US)
- SomaLogic (United States) (US)
- Massachusetts General Hospital (US)
- Corresponding author
- Wagers, Amy J.
- Lee, Richard T.
- ORCID
- Venue
- Cell
- Publisher
- Elsevier BV
- Published
- 2013-05
- Volume
- 153
- Issue
- 4
- Pages
- 828-839
- ISSN
- 0092-8674 (ISSN-L)
- PMC
- PMC3677132
- OpenAlex
- W2156589853
- Cited by
- 948
- References
- 64
- Citations by year
- 2026: 44 · 2025: 46 · 2024: 53 · 2023: 67 · 2022: 69 · 2021: 69 · 2020: 87 · 2019: 70 · 2018: 86 · 2017: 91 · 2016: 94 · 2015: 84 · 2014: 56 · 2013: 30
- FWCI
- 59.87
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Cell (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Digital Access to Scholarship at Harvard (DASH) (Harvard University) (submittedVersion, cc-by)
- Archivio Istituzionale della Ricerca - Università degli Studi della Campania "Luigi Vanvitelli" (submittedVersion)
- Funders
- Howard Hughes Medical Institute
- American Heart Association
- National Institutes of Health (1dp2od004345-01)
- Harvard Stem Cell Institute
- National Institute on Aging (R01AG033053, R01AG032977, R01AG040019)
- National Heart, Lung, and Blood Institute (U01HL100402, K99HL112905, R00HL112905)
- National Institute of Diabetes and Digestive and Kidney Diseases (K08DK090147, P30DK036836)
- Topics
- Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Cardiac Fibrosis and Remodeling
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Congenital heart defects research
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › TGF-β signaling in diseases
- Keywords
- GDF11, cardiac hypertrophy, cardiac aging, heterochronic parabiosis, circulating factors, heart failure with preserved ejection fraction, cardiomyocyte size, TGF-beta superfamily, aptamer-based proteomics, regenerative therapy
- MeSH terms
- Aging, Animals, Blood Pressure, Female, Cardiomegaly, Humans, Male, Mice, Inbred C57BL, Parabiosis, Hypertrophy, Left Ventricular, Bone Morphogenetic Proteins, Myocytes, Cardiac, Mice, Forkhead Transcription Factors, Growth Differentiation Factors, Induced Pluripotent Stem Cells
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