Young bone marrow transplantation preserves learning and memory in old mice View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2019-12

AUTHORS

Melanie M. Das, Marlesa Godoy, Shuang Chen, V. Alexandra Moser, Pablo Avalos, Kristina M. Roxas, Ivy Dang, Alberto Yáñez, Wenxuan Zhang, Catherine Bresee, Moshe Arditi, George Y. Liu, Clive N. Svendsen, Helen S. Goodridge

ABSTRACT

Restoration of cognitive function in old mice by transfer of blood or plasma from young mice has been attributed to reduced C-C motif chemokine ligand 11 (CCL11) and β2-microglobulin, which are thought to suppress neurogenesis in the aging brain. However, the specific role of the hematopoietic system in this rejuvenation has not been defined and the importance of neurogenesis in old mice is unclear. Here we report that transplantation of young bone marrow to rejuvenate the hematopoietic system preserved cognitive function in old recipient mice, despite irradiation-induced suppression of neurogenesis, and without reducing β2-microglobulin. Instead, young bone marrow transplantation preserved synaptic connections and reduced microglial activation in the hippocampus. Circulating CCL11 levels were lower in young bone marrow recipients, and CCL11 administration in young mice had the opposite effect, reducing synapses and increasing microglial activation. In conclusion, young blood or bone marrow may represent a future therapeutic strategy for neurodegenerative disease. More... »

PAGES

73

References to SciGraph publications

  • 2011-01. Hippocampal brain-network coordination during volitional exploratory behavior enhances learning in NATURE NEUROSCIENCE
  • 2015-08. β2-microglobulin is a systemic pro-aging factor that impairs cognitive function and neurogenesis in NATURE MEDICINE
  • 2012-04. The ageing cortical synapse: hallmarks and implications for cognitive decline in NATURE REVIEWS NEUROSCIENCE
  • 2002-09. Irradiation induces neural precursor-cell dysfunction in NATURE MEDICINE
  • 2016-11-22. A single heterochronic blood exchange reveals rapid inhibition of multiple tissues by old blood in NATURE COMMUNICATIONS
  • 2009-12. Effect of ablated hippocampal neurogenesis on the formation and extinction of contextual fear memory in MOLECULAR BRAIN
  • 2016-07. Origin, fate and dynamics of macrophages at central nervous system interfaces in NATURE IMMUNOLOGY
  • 2011-09. The ageing systemic milieu negatively regulates neurogenesis and cognitive function in NATURE
  • 2016-03. Microglial brain region−dependent diversity and selective regional sensitivities to aging in NATURE NEUROSCIENCE
  • 2014-09. Testosterone is essential for skeletal muscle growth in aged mice in a heterochronic parabiosis model in CELL AND TISSUE RESEARCH
  • 2017-04-19. Human umbilical cord plasma proteins revitalize hippocampal function in aged mice in NATURE
  • 2017-05. Haematopoietic stem and progenitor cells from human pluripotent stem cells in NATURE
  • 2011-10. Heterogeneity of CNS myeloid cells and their roles in neurodegeneration in NATURE NEUROSCIENCE
  • 2015-12. The dynamics of monocytes and microglia in Alzheimer’s disease in ALZHEIMER'S RESEARCH & THERAPY
  • 2014-06. Young blood reverses age-related impairments in cognitive function and synaptic plasticity in mice in NATURE MEDICINE
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1038/s42003-019-0298-5

    DOI

    http://dx.doi.org/10.1038/s42003-019-0298-5

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1112229172

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/30820468


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