Human umbilical cord plasma proteins revitalize hippocampal function in aged mice
Open accessAbstract
Ageing drives changes in neuronal and cognitive function, the decline of which is a major feature of many neurological disorders. The hippocampus, a brain region subserving roles of spatial and episodic memory and learning, is sensitive to the detrimental effects of ageing at morphological and molecular levels. With advancing age, synapses in various hippocampal subfields exhibit impaired long-term potentiation, an electrophysiological correlate of learning and memory. At the molecular level, immediate early genes are among the synaptic plasticity genes that are both induced by long-term potentiation and downregulated in the aged brain. In addition to revitalizing other aged tissues, exposure to factors in young blood counteracts age-related changes in these central nervous system parameters, although the identities of specific cognition-promoting factors or whether such activity exists in human plasma remains unknown. We hypothesized that plasma of an early developmental stage, namely umbilical cord plasma, provides a reservoir of such plasticity-promoting proteins. Here we show that human cord plasma treatment revitalizes the hippocampus and improves cognitive function in aged mice. Tissue inhibitor of metalloproteinases 2 (TIMP2), a blood-borne factor enriched in human cord plasma, young mouse plasma, and young mouse hippocampi, appears in the brain after systemic administration and increases synaptic plasticity and hippocampal-dependent cognition in aged mice. Depletion experiments in aged mice revealed TIMP2 to be necessary for the cognitive benefits conferred by cord plasma. We find that systemic pools of TIMP2 are necessary for spatial memory in young mice, while treatment of brain slices with TIMP2 antibody prevents long-term potentiation, arguing for previously unknown roles for TIMP2 in normal hippocampal function. Our findings reveal that human cord plasma contains plasticity-enhancing proteins of high translational value for targeting ageing- or disease-associated hippocampal dysfunction.
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
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 brain, comparable rejuvenating effects were seen when young human plasma was transferred into old animals.
“In the brain, similar rejuvenating effects were observed by a simpler procedure of young human plasma transferred into old animals268.”
From Cellular senescence in ageing: from mechanisms to therapeutic opportunities (2021) · cites this paper as [268]
The Abstract reports that young adult human plasma was injected into aged mice and increased expression of a smaller subset of hippocampal plasticity-related genes. But young adult plasma did not significantly improve measured long-term potentiation; the reported improvements in hippocampal function and memory were primarily from umbilical cord plasma. (LLM, conf=0.88)
Experimental — accuracy not yet measuredTIMP2 plays a critical role in mediating human cord plasma-induced beneficial effects on synaptic and cognitive function in aged mice.
“Although how young blood reversed aging-induced cognitive defects is not clear, a recent study suggests that tissue inhibitor of metalloproteinases 2 (TIMP2) plays a critical role in mediating human cord plasma-induced beneficial effects on synaptic and cognitive function in aged mice [522].”
From Molecular and cellular mechanisms underlying the pathogenesis of Alzheimer’s disease (2020) · cites this paper as [522]
The levels of antiageing factors such as GDF11, TIMP2 and CSF2 are reduced; these factors are linked to improved microglial phagocytosis and neurogenesis and reduce the amyloid-β load, thus enhancing cognition.
“In contrast, the levels of antiageing factors, such as GDF11, tissue inhibitor of metalloproteinase 2 (TIMP2) and granulocyte‒macrophage colony stimulating factor (CSF2), are reduced. These factors are linked to improved microglial phagocytosis and neurogenesis and reduce the Aβ load, thus enhancing cognition.72,322–324”
From Antiageing strategy for neurodegenerative diseases: from mechanisms to clinical advances (2025) · cites this paper as [322]
TIMP2 in umbilical cord plasma enhances synaptic plasticity and improves hippocampus-dependent cognition in aged mice.
“Moreover, TIMP2 in umbilical cord plasma enhances synaptic plasticity and improves hippocampus-dependent cognition in aged mice.322”
From Antiageing strategy for neurodegenerative diseases: from mechanisms to clinical advances (2025) · cites this paper as [322]
The effect of young blood was also seen after injection of human umbilical cord blood.
“This effect was also seen after injection of human umbilical cord blood (Castellano et al., 2017).”
From Alzheimer Disease: An Update on Pathobiology and Treatment Strategies (2019) · cites this paper as Castellano et al., 2017
Plasma infusions alone are sufficient to exert effects that promote or reverse cell and tissue aging phenotypes.
“including the demonstration that plasma infusions alone are sufficient to exert these effects,65,69”
From Asynchronous, contagious and digital aging (2021) · cites this paper as [69]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
Analysis of Relative Gene Expression Data Using Real-Time Quantitative PCR and the 2−ΔΔCT Method
Livak, K. J., & Schmittgen, T. D. (2001) · Methods · doi:10.1006/meth.2001.1262 · Cited by 180,860 · see citing works
In silico prediction of protein-protein interactions in human macrophages
Souiai, O., Guerfali, F. Z., Miled, S. B., Brun, C., & Benkahla, A. (2014) · BMC Research Notes · doi:10.1186/1756-0500-7-157 · Cited by 10,785 · see citing works
Significance analysis of microarrays applied to the ionizing radiation response
Tusher, V. G., Tibshirani, R., & Chu, G. (2001) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.091062498 · Cited by 10,568 · see citing works
Genome-wide atlas of gene expression in the adult mouse brain
Lein, E. S., Hawrylycz, M. J., Ao, N., Ayres, M., Bensinger, A., Bernard, A., Boe, A. F., Boguski, M. S., Brockway, K. S., Byrnes, E. J., et al. (2007) · Nature · doi:10.1038/nature05453 · Cited by 5,572 · see citing works
Mutation of the mouse klotho gene leads to a syndrome resembling ageing
Kuro-o, M., Matsumura, Y., Aizawa, H., Kawaguchi, H., Suga, T., Utsugi, T., Ohyama, Y., Kurabayashi, M., Kaname, T., Kume, E., et al. (1997) · Nature · doi:10.1038/36285 · Cited by 3,837 · see citing works
Open source clustering software
de Hoon, M., Imoto, S., Nolan, J., & Miyano, S. (2004) · Bioinformatics · doi:10.1093/bioinformatics/bth078 · Cited by 3,043 · see citing works
Java Treeview—extensible visualization of microarray data
Saldanha, A. J. (2004) · Bioinformatics · doi:10.1093/bioinformatics/bth349 · Cited by 2,991 · see citing works
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 · see citing works
The 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 · see citing works
Self-citationShultz, L. D., Lyons, B. L., Burzenski, L. M., Gott, B., Chen, X., Chaleff, S., Kotb, M., Gillies, S. D., King, M., Mangada, J., et al. (2005) · The Journal of Immunology · doi:10.4049/jimmunol.174.10.6477 · Cited by 1,736 · see citing works
Neural plasticity in the ageing brain
Burke, S. N., & Barnes, C. A. (2005) · Nature reviews. Neuroscience · doi:10.1038/nrn1809 · Cited by 1,600 · see citing works
Human ApoE isoforms differentially regulate brain amyloid-β peptide clearance
Castellano, J. M., Kim, J., Stewart, F. R., Jiang, H., DeMattos, R. B., Patterson, B. W., Fagan, A. M., Morris, J. C., Mawuenyega, K. G., Cruchaga, C., et al. (2011) · Science Translational Medicine · doi:10.1126/scitranslmed.3002156 · Cited by 1,227 · see citing works
Self-citationYoung blood reverses age-related impairments in cognitive function and synaptic plasticity in mice
Villeda, S. A., Plambeck, K. E., Middeldorp, J., Castellano, J. M., Mosher, K. I., Luo, J., Smith, L. K., Bieri, G., Lin, K., Berdnik, D., et al. (2014) · Nature Medicine · doi:10.1038/nm.3569 · Cited by 1,081 · see citing works
Self-citationGene-expression profile of the ageing brain in mice
Lee, C.-K., Weindruch, R., & Prolla, T. A. (2000) · Nature Genetics · doi:10.1038/77046 · Cited by 1,055 · see citing works
ApoE-Directed Therapeutics Rapidly Clear β-Amyloid and Reverse Deficits in AD Mouse Models
Cramer, P. E., Cirrito, J. R., Wesson, D. W., Lee, C. Y. D., Karlo, J. C., Zinn, A. E., Casali, B. T., Restivo, J. L., Goebel, W. D., James, M. J., et al. (2012) · Science · doi:10.1126/science.1217697 · Cited by 1,050 · see citing works
Self-citationVascular 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 · see citing works
Cole, A. J., Saffen, D. W., Baraban, J. M., & Worley, P. F. (1989) · Nature · doi:10.1038/340474a0 · Cited by 1,010 · see citing works
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., et al. (2013) · Cell · doi:10.1016/j.cell.2013.04.015 · Cited by 948 · see citing works
Jones, M. W., Errington, M. L., French, P. J., Fine, A., Bliss, T., Garel, S., Charnay, P., Bozon, B., Laroche, S., & Davis, S. (2001) · Nature Neuroscience · doi:10.1038/85138 · Cited by 899 · see citing works
Restoring systemic GDF11 levels reverses age-related dysfunction in mouse skeletal muscle
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., et al. (2014) · Science · doi:10.1126/science.1251152 · Cited by 824 · see citing works
Guenthner, C. J., Miyamichi, K., Yang, H. H., Heller, H. C., & Luo, L. (2013) · Neuron · doi:10.1016/j.neuron.2013.03.025 · Cited by 705 · see citing works
Aging-induced type I interferon response at the choroid plexus negatively affects brain function
Baruch, K., Deczkowska, A., David, E., Castellano, J. M., Miller, O., Kertser, A., Berkutzki, T., Barnett-Itzhaki, Z., Bezalel, D., Wyss-Coray, T., et al. (2014) · Science · doi:10.1126/science.1252945 · Cited by 615 · see citing works
Self-citationBlalock, E. M., Chen, K.-C., Sharrow, K., Herman, J. P., Porter, N. M., Foster, T. C., & Landfield, P. W. (2003) · The Journal of Neuroscience · doi:10.1523/jneurosci.23-09-03807.2003 · Cited by 570 · see citing works
The dual role of the extracellular matrix in synaptic plasticity and homeostasis
Dityatev, A., Schachner, M., & Sonderegger, P. (2010) · Nature Reviews Neuroscience · doi:10.1038/nrn2898 · Cited by 559 · see citing works
Boswell, C. A., Sun, X., Niu, W., Weisman, G. R., Wong, E. H., Rheingold, A. L., & Anderson, C. J. (2004) · Journal of Medicinal Chemistry · doi:10.1021/jm030383m · Cited by 481 · see citing works
Lione, L. A., Carter, R. J., Hunt, M. J., Bates, G. P., Morton, A. J., & Dunnett, S. B. (1999) · Journal of Neuroscience · doi:10.1523/jneurosci.19-23-10428.1999 · Cited by 384 · see citing works
The Scalable Brain Atlas: Instant Web-Based Access to Public Brain Atlases and Related Content
Bakker, R., Tiesinga, P. H. E., & Kötter, R. (2015) · Neuroinformatics · doi:10.1007/s12021-014-9258-x · Cited by 298 · see citing works
Genome-wide identification and characterization of functional neuronal activity–dependent enhancers
Malik, A. N., Vierbuchen, T., Hemberg, M., Rubin, A. A., Ling, E., Couch, C. H., Stroud, H., Spiegel, I., Farh, K. K., Harmin, D. A., et al. (2014) · Nature Neuroscience · doi:10.1038/nn.3808 · Cited by 267 · see citing works
Relative Contribution of Endogenous Neurotrophins in Hippocampal Long-Term Potentiation
Chen, G., Kolbeck, R., Barde, Y., Bonhoeffer, T., & Kossel, A. H. (1999) · Journal of Neuroscience · doi:10.1523/jneurosci.19-18-07983.1999 · Cited by 244 · see citing works
BET protein Brd4 activates transcription in neurons and BET inhibitor Jq1 blocks memory in mice
Korb, E., Herre, M., Zucker-Scharff, I., Darnell, R. B., & Allis, C. D. (2015) · Nature Neuroscience · doi:10.1038/nn.4095 · Cited by 242 · see citing works
Cooper, M. S., Ma, M., Sunassee, K., et al. (2012) · Bioconjugate Chemistry · doi:10.1021/bc300037w · Cited by 217 · see citing works
Exposure to a youthful circulation rejuvenates bone repair through modulation of β-catenin
Baht, G. S., Silkstone, D., Vi, L., Nadesan, P., Amani, Y., Whetstone, H., Wei, Q., & Alman, B. A. (2015) · Nature Communications · doi:10.1038/ncomms8131 · Cited by 211 · see citing works
Dragunow, M., Abraham, W. C., Goulding, M., Mason, S. E., Robertson, H. A., & Faull, R. L. M. (1989) · Neuroscience Letters · doi:10.1016/0304-3940(89)90545-4 · Cited by 185 · see citing works
Altered hippocampal transcript profile accompanies an age-related spatial memory deficit in mice
Verbitsky, M., Yonan, A. L., Malleret, G., Kandel, E. R., Gilliam, T. C., & Pavlidis, P. (2004) · Learning & Memory · doi:10.1101/lm.68204 · Cited by 158 · see citing works
Iwano, T., Masuda, A., Kiyonari, H., Enomoto, H., & Matsuzaki, F. (2012) · Development · doi:10.1242/dev.080002 · Cited by 155 · see citing works
Boyd, T. D., Bennett, S. P., Mori, T., Governatori, N., Runfeldt, M., Norden, M., Padmanabhan, J., Neame, P., Wefes, I., Sanchez-Ramos, J., et al. (2010) · Journal of Alzheimer's Disease · doi:10.3233/jad-2010-091471 · Cited by 128 · see citing works
Systemic Regulation of the Age-Related Decline of Pancreatic β-Cell Replication
Salpeter, S. J., Khalaileh, A., Weinberg-Corem, N., Ziv, O., Glaser, B., & Dor, Y. (2013) · Diabetes · doi:10.2337/db13-0160 · Cited by 122 · see citing works
New Positron Emission Tomography (PET) Radioligand for Imaging σ-1 Receptors in Living Subjects
James, M. L., Shen, B., Zavaleta, C. L., Nielsen, C. H., Mésangeau, C., Vuppala, P. K., Chan, C. T., Avery, B. A., Fishback, J. A., Matsumoto, R. R., et al. (2012) · Journal of Medicinal Chemistry · doi:10.1021/jm300371c · Cited by 94 · see citing works
Self-citationFaizi, M., Bader, P. L., Saw, N. L., Nguyen, T. V., Beraki, S., Wyss‐Coray, T., Longo, F. M., & Shamloo, M. (2012) · Brain and Behavior · doi:10.1002/brb3.41 · Cited by 86 · see citing works
Self-citationBlood-Borne Revitalization of the Aged Brain
Castellano, J. M., Kirby, E. D., & Wyss-Coray, T. (2015) · JAMA Neurology · doi:10.1001/jamaneurol.2015.1616 · Cited by 83 · see citing works
Self-citationKang, H., Jia, L. Z., Suh, K. Y., Tang, L. T. H., & Schuman, E. M. (1996) · Learning & Memory · doi:10.1101/lm.3.2-3.188 · Cited by 70 · see citing works
Tissue inhibitor of metalloproteinase-2(TIMP-2)-deficient mice display motor deficits
Jaworski, D. M., Soloway, P. D., Caterina, J. J., et al. (2005) · Journal of Neurobiology · doi:10.1002/neu.20205 · Cited by 64 · see citing works
Blavier, L., & DeClerck, Y. A. (1997) · Molecular Biology of the Cell · doi:10.1091/mbc.8.8.1513 · Cited by 56 · see citing works
Microfluidic radiolabeling of biomolecules with PET radiometals
Zeng, D., Desai, A. V., Ranganathan, D., et al. (2012) · Nuclear Medicine and Biology · doi:10.1016/j.nucmedbio.2012.08.012 · Cited by 42 · see citing works
Jaworski, D. M., Boone, J. Q., Caterina, J. J., Soloway, P. D., & Falls, W. A. (2005) · Brain Research · doi:10.1016/j.brainres.2005.05.057 · Cited by 34 · see citing works
Male and female C57BL/6 mice respond differently to diazepam challenge in avoidance learning tasks
Podhorná, J., McCabe, S., & Brown, R. E. (2002) · Pharmacology Biochemistry and Behavior · doi:10.1016/s0091-3057(01)00783-3 · Cited by 29 · see citing works
Castellano, J. M., Palner, M., Li, S., Freeman, G. M., Nguyen, A., Shen, B., Stan, T. M., Mosher, K. I., Chin, F. T., de Lecea, L., et al. (2016) · Scientific Reports · doi:10.1038/srep29015 · Cited by 28 · see citing works
Self-citationSalpeter, S., Khalaileh, A., Weinberg-Corem, N., Ziv, O., Gläser, B., & Dor, Y. (2013) · Diabetes · doi:10.2337/db13-er09 · Cited by 26 · see citing works
Attenuation of c-Fos basal expression in the cerebral cortex of aged rat
Lee, Y. I., Park, K. H., Baik, S. H., et al. (1998) · Neuroreport · doi:10.1097/00001756-199808240-00009 · Cited by 22 · see citing works
Ilovich, O., Natarajan, A., Hori, S. S., Sathirachinda, A., Kimura, R. H., Srinivasan, A., Gebauer, M., Kruip, J., Focken, I., Lange, C., et al. (2015) · Radiology · doi:10.1148/radiol.15140058 · Cited by 22 · see citing works
Transcriptional mechanisms of hippocampal aging
Lund, P. K., Hoyt, E. C., Bizon, J. L., Smith, D. R., Haberman, R. P., Helm, K., & Gallagher, M. (2004) · Experimental Gerontology · doi:10.1016/j.exger.2004.06.018 · Cited by 21 · see citing works
Sensitivity to foot shock in autoimmune NZB × NZW F1 hybrid mice
Schrott, L. M., & Crnic, L. S. (1994) · Physiology & Behavior · doi:10.1016/0031-9384(94)90314-x · Cited by 19 · see citing works
Visual cliff behavior of mice as a function of genetic differences in eye characteristics
Frank, R., & Kenton, J. (1966) · Psychonomic Science · doi:10.3758/bf03342161 · Cited by 13 · see citing works
Focused Plasma Proteomics for the Study of Brain Aging and Neurodegeneration
Jaeger, P. A., Villeda, S., Berdnik, D., et al. (2013) · Oxford University Press eBooks · doi:10.1093/med/9780199855452.003.0010 · Cited by 4 · see citing works
Self-citation
Flagged first, then by citations
Research works printed but not linked: 1
- [33]Jaeger PA Villeda SA Berdnik D Britschgi M Wyss-Coray T The Omics: Applications in Neuroscience Coppola G 183 191 Oxford Univ. Press 2014
Cited by
Sorted by citations
Hallmarks of aging: An expanding universe
López-Otín, C., Blasco, M. A., Partridge, L., Serrano, M., & Kroemer, G. (2023) · Cell · doi:10.1016/j.cell.2022.11.001 · Cited by 6,549 · see citing works
Alzheimer Disease: An Update on Pathobiology and Treatment Strategies
Long, J. M., & Holtzman, D. M. (2019) · Cell · doi:10.1016/j.cell.2019.09.001 · Cited by 3,204 · see citing works
Cellular senescence in ageing: from mechanisms to therapeutic opportunities
Di Micco, R., Krizhanovsky, V., Baker, D., & d’Adda di Fagagna, F. (2021) · Nature Reviews Molecular Cell Biology · doi:10.1038/s41580-020-00314-w · Cited by 2,277 · see citing works
Facing up to the global challenges of ageing
Partridge, L., Deelen, J., & Slagboom, P. E. (2018) · Nature · doi:10.1038/s41586-018-0457-8 · Cited by 1,475 · see citing works
Molecular and cellular mechanisms underlying the pathogenesis of Alzheimer’s disease
Guo, T., Zhang, D., Zeng, Y., Huang, T. Y., Xu, H., & Zhao, Y. (2020) · Molecular Neurodegeneration · doi:10.1186/s13024-020-00391-7 · Cited by 994 · see citing works
Undulating 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 · see citing works
Self-citationA systemic view of Alzheimer disease — insights from amyloid-β metabolism beyond the brain
Wang, J., Gu, B. J., Masters, C. L., & Wang, Y.-J. (2017) · Nature Reviews Neurology · doi:10.1038/nrneurol.2017.111 · Cited by 808 · see citing works
Single-cell transcriptomic profiling of the aging mouse brain
Ximerakis, M., Lipnick, S. L., Innes, B. T., Simmons, S. K., Adiconis, X., Dionne, D., Mayweather, B. A., Nguyen, L., Niziolek, Z., Ozek, C., et al. (2019) · Nature Neuroscience · doi:10.1038/s41593-019-0491-3 · Cited by 736 · see citing works
The role of adult hippocampal neurogenesis in brain health and disease
Toda, T., Parylak, S. L., Linker, S. B., & Gage, F. H. (2019) · Molecular Psychiatry · doi:10.1038/s41380-018-0036-2 · Cited by 719 · see citing works
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 · see citing works
Physiological blood–brain transport is impaired with age by a shift in transcytosis
Yang, A. C., Stevens, M. Y., Chen, M. B., Lee, D. P., Stähli, D., Gate, D., Contrepois, K., Chen, W., Iram, T., Zhang, L., et al. (2020) · Nature · doi:10.1038/s41586-020-2453-z · Cited by 477 · see citing works
Self-citationThe 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 · see citing works
Yousef, H., Czupalla, C. J., Lee, D., Chen, M. B., Burke, A. N., Zera, K. A., Zandstra, J., Berber, E., Lehallier, B., Mathur, V., et al. (2019) · Nature Medicine · doi:10.1038/s41591-019-0440-4 · Cited by 442 · see citing works
Self-citationCD22 blockade restores homeostatic microglial phagocytosis in ageing brains
Pluvinage, J. V., Haney, M. S., Smith, B. A. H., Sun, J., Iram, T., Bonanno, L., Li, L., Lee, D. P., Morgens, D. W., Yang, A. C., et al. (2019) · Nature · doi:10.1038/s41586-019-1088-4 · Cited by 459 · see citing works
Self-citationAging of hematopoietic stem cells
de Haan, G., & Lazare, S. S. (2018) · Blood · doi:10.1182/blood-2017-06-746412 · Cited by 432 · see citing works
Ageing and rejuvenation of tissue stem cells and their niches
Brunet, A., Goodell, M. A., & Rando, T. A. (2023) · Nature Reviews Molecular Cell Biology · doi:10.1038/s41580-022-00510-w · Cited by 407 · see citing works
Immune Signaling in Neurodegeneration
Hammond, T. R., Marsh, S. E., & Stevens, B. (2019) · Immunity · doi:10.1016/j.immuni.2019.03.016 · Cited by 336 · see citing works
Gpr158 mediates osteocalcin’s regulation of cognition
Khrimian, L., Obri, A., Ramos-Brossier, M., Rousseaud, A., Moriceau, S., Nicot, A.-S., Mera, P., Kosmidis, S., Karnavas, T., Saudou, F., et al. (2017) · Journal of Experimental Medicine · doi:10.1084/jem.20171320 · Cited by 308 · see citing works
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 · see citing works
Autophagy Is Required for Memory Formation and Reverses Age-Related Memory Decline
Glatigny, M., Moriceau, S., Rivagorda, M., Ramos-Brossier, M., Nascimbeni, A. C., Lante, F., Shanley, M. R., Boudarene, N., Rousseaud, A., Friedman, A. K., et al. (2019) · Current Biology · doi:10.1016/j.cub.2018.12.021 · Cited by 257 · see citing works
Platelet factors attenuate inflammation and rescue cognition in ageing
Schroer, A. B., Ventura, P. B., Sucharov, J., Misra, R., Chui, M. K. K., Bieri, G., Horowitz, A. M., Smith, L. K., Encabo, K., Tenggara, I., et al. (2023) · Nature · doi:10.1038/s41586-023-06436-3 · Cited by 252 · see citing works
Aging and Rejuvenation of Neural Stem Cells and Their Niches
Navarro Negredo, P., Yeo, R. W., & Brunet, A. (2020) · Cell Stem Cell · doi:10.1016/j.stem.2020.07.002 · Cited by 246 · see citing works
Brain Endothelial Cells Are Exquisite Sensors of Age-Related Circulatory Cues
Chen, M. B., Yang, A. C., Yousef, H., Lee, D., Chen, W., Schaum, N., Lehallier, B., Quake, S. R., & Wyss-Coray, T. (2020) · Cell Reports · doi:10.1016/j.celrep.2020.03.012 · Cited by 233 · see citing works
“A uthor M anuscript A uthor M anuscript A uthor M anuscript A uthor M anuscript have recapitulated the effects of plasma, such as the pro-aging B2M and CCL11, and the rejuvenating tissue inhibitor of metalloproteinases 2 (TIMP2) (Castellano et al., 2017; Smith et al., 2015; Villeda et al., 2011).”
InfluentialSelf-citationPeripheral 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 · see citing works
Systemic factors as mediators of brain homeostasis, ageing and neurodegeneration
Pluvinage, J. V., & Wyss-Coray, T. (2020) · Nature Reviews Neuroscience · doi:10.1038/s41583-019-0255-9 · Cited by 191 · see citing works
Self-citationMa, S., Wang, S., Ye, Y., Ren, J., Chen, R., Li, W., Li, J., Zhao, L., Zhao, Q., Sun, G., et al. (2022) · Cell Stem Cell · doi:10.1016/j.stem.2022.04.017 · Cited by 189 · see citing works
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 · see citing works
Chen, X., Luo, Y., Zhu, Q., Zhang, J., Huang, H., Kan, Y., Li, D., Xu, M., Liu, S., Li, J., et al. (2024) · Nature Aging · doi:10.1038/s43587-024-00612-4 · Cited by 174 · see citing works
Blood-to-brain communication in aging and rejuvenation
Bieri, G., Schroer, A. B., & Villeda, S. A. (2023) · Nature Neuroscience · doi:10.1038/s41593-022-01238-8 · Cited by 156 · see citing works
Antiageing strategy for neurodegenerative diseases: from mechanisms to clinical advances
Jiang, Q., Liu, J., Huang, S., Wang, X.-Y., Chen, X., Liu, G.-H., Ye, K., Song, W., Masters, C. L., Wang, J., et al. (2025) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-025-02145-7 · Cited by 165 · see citing works
Multi-omic rejuvenation and lifespan extension on exposure to youthful circulation
Zhang, B., Lee, D. E., Trapp, A., Tyshkovskiy, A., Lu, A. T., Bareja, A., Kerepesi, C., McKay, L. K., Shindyapina, A. V., Dmitriev, S. E., et al. (2023) · Nature Aging · doi:10.1038/s43587-023-00451-9 · Cited by 134 · see citing works
Leiter, O., Seidemann, S., Overall, R. W., Ramasz, B., Rund, N., Schallenberg, S., Grinenko, T., Wielockx, B., Kempermann, G., & Walker, T. L. (2019) · Stem Cell Reports · doi:10.1016/j.stemcr.2019.02.009 · Cited by 119 · see citing works
Asynchronous, contagious and digital aging
Rando, T. A., & Wyss-Coray, T. (2021) · Nature Aging · doi:10.1038/s43587-020-00015-1 · Cited by 121 · see citing works
Self-citationGan, K. J., & Südhof, T. C. (2019) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1902672116 · Cited by 114 · see citing works
Sha, S. J., Deutsch, G. K., Tian, L., Richardson, K., Coburn, M., Gaudioso, J. L., Marcal, T., Solomon, E., Boumis, A., Bet, A., et al. (2019) · JAMA Neurology · doi:10.1001/jamaneurol.2018.3288 · Cited by 109 · see citing works
Self-citationSystemic induction of senescence in young mice after single heterochronic blood exchange
Jeon, O. H., Mehdipour, M., Gil, T.-H., Kang, M., Aguirre, N. W., Robinson, Z. R., Kato, C., Etienne, J., Lee, H. G., Alimirah, F., et al. (2022) · Nature Metabolism · doi:10.1038/s42255-022-00609-6 · Cited by 114 · see citing works
Neuronal O-GlcNAcylation Improves Cognitive Function in the Aged Mouse Brain
Wheatley, E. G., Albarran, E., White, C. W., Bieri, G., Sanchez-Diaz, C., Pratt, K., Snethlage, C. E., Ding, J. B., & Villeda, S. A. (2019) · Current Biology · doi:10.1016/j.cub.2019.08.003 · Cited by 107 · see citing works
Lehallier, B., Shokhirev, M. N., Wyss‐Coray, T., & Johnson, A. A. (2020) · Aging Cell · doi:10.1111/acel.13256 · Cited by 106 · see citing works
Self-citationYoung bone marrow transplantation preserves learning and memory in old mice
Das, M. M., Godoy, M., Chen, S., Moser, V. A., Avalos, P., Roxas, K. M., Dang, I., Yáñez, A., Zhang, W., Bresee, C., et al. (2019) · Communications Biology · doi:10.1038/s42003-019-0298-5 · Cited by 98 · see citing works
Heterochronic parabiosis regulates the extent of cellular senescence in multiple tissues
Yousefzadeh, M. J., Wilkinson, J. E., Hughes, B., Gadela, N., Ladiges, W. C., Vo, N., Niedernhofer, L. J., Huffman, D. M., & Robbins, P. D. (2020) · GeroScience · doi:10.1007/s11357-020-00185-1 · Cited by 70 · see citing works
Shim, H. S., Horner, J. W., Wu, C.-J., Li, J., Lan, Z. D., Jiang, S., Xu, X., Hsu, W.-H., Zal, T., Flores, I. I., et al. (2021) · Nature Aging · doi:10.1038/s43587-021-00146-z · Cited by 73 · see citing works
Xia, W., Li, M., Jiang, X., Huang, X., Gu, S., Ye, J., Zhu, L., Hou, M., & Zan, T. (2022) · Journal of Nanobiotechnology · doi:10.1186/s12951-022-01348-2 · Cited by 72 · see citing works
Katsimpardi, L., Kuperwasser, N., Camus, C., Moigneu, C., Chiche, A., Tolle, V., Li, H., Kokovay, E., & Lledo, P. (2020) · Aging Cell · doi:10.1111/acel.13038 · Cited by 47 · see citing works
Hornsby, A. K. E., Buntwal, L., Carisi, M. C., Santos, V. V., Johnston, F., Roberts, L. D., Sassi, M., Mequinion, M., Stark, R., Reichenbach, A., et al. (2020) · Cell Reports Medicine · doi:10.1016/j.xcrm.2020.100120 · Cited by 35 · see citing works
Clement, J., Yan, Q., Agrawal, M., Coronado, R. E., Sturges, J. A., Horvath, M., Lu, A. T., Brooke, R. T., & Horvath, S. (2022) · Aging Cell · doi:10.1111/acel.13696 · Cited by 34 · see citing works
Mullane, K., & Williams, M. (2018) · Biochemical Pharmacology · doi:10.1016/j.bcp.2018.09.027 · Cited by 32 · see citing works
Xia, E., Xu, F., Hu, C., Kumal, J. P. P., Tang, X., Mao, D., Li, Y., Wu, D., Zhang, R., Wu, S., et al. (2019) · Neuroscience · doi:10.1016/j.neuroscience.2019.08.010 · Cited by 22 · see citing works
A primary cilia-autophagy axis in hippocampal neurons is essential to maintain cognitive resilience
Rivagorda, M., Romeo-Guitart, D., Blanchet, V., Mailliet, F., Boitez, V., Barry, N., Milunov, D., Siopi, E., Goudin, N., Moriceau, S., et al. (2025) · Nature Aging · doi:10.1038/s43587-024-00791-0 · Cited by 24 · see citing works
Kang, S., Moser, V. A., Svendsen, C. N., & Goodridge, H. S. (2020) · Communications Biology · doi:10.1038/s42003-020-0797-4 · Cited by 22 · see citing works
- Authors
- 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., Hinkson, I. V., Angst, M. S., & Wyss-Coray, T.
- Affiliations
- Stanford Medicine (US)
- VA Palo Alto Health Care System (US)
- AfaSci (United States) (US)
- ORCID
- Venue
- Nature
- Published
- 2017-04
- Volume
- 544
- Issue
- 7651
- Pages
- 488-492
- ISSN
- 0028-0836 (ISSN-L)
- 1476-4687
- PMC
- PMC5586222
- OpenAlex
- W2606478035
- Cited by
- 445
- References
- 54
- Citations by year
- 2026: 26 · 2025: 46 · 2024: 49 · 2023: 43 · 2022: 53 · 2021: 46 · 2020: 52 · 2019: 58 · 2018: 44 · 2017: 28
- FWCI
- 21.19
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Nature (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Funders
- National Institute on Aging (R43AG043203, F31AG040877, AG040877, P50AG047366, AG045034, K99AG051711, R01AG045034, DP1AG053015, R44AG043203)
- National Institute of Neurological Disorders and Stroke (R44NS086343)
- Topics
- Life Sciences › Neuroscience › Developmental Neuroscience › Neurogenesis and neuroplasticity mechanisms
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neuropharmacology Research
- Life Sciences › Neuroscience › Cognitive Neuroscience › Memory and Neural Mechanisms
- Keywords
- umbilical cord plasma, TIMP-2, hippocampus, aging, cognitive function, synaptic plasticity, long-term potentiation, spatial memory, blood-borne factors, young blood, neurodegeneration, aged mice, brain rejuvenation, immediate early genes, synaptic loss, neuroinflammation, neurogenesis, neurotrophins
- MeSH terms
- Aging, Animals, Blood Proteins, Cognition, Female, Fetal Blood, Hippocampus, Humans, Male, Neuronal Plasticity, Neurons, Long-Term Potentiation, Maze Learning, Tissue Inhibitor of Metalloproteinase-2, Protein Array Analysis, Mice, Spatial Memory
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