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Astrocytic IGF-IRs induce adenosine-mediated inhibitory downregulation and improve sensory discrimination

*Corresponding author for this work
  • Universidad Autónoma de Madrid
    ,
  • University of Minnesota Twin Cities
    ,
  • Universidad de la Laguna
    ,
  • ,
  • Facultad de Medicina de la Universidad Nacional de San Agustín
    ,
  • Instituto de Salud Carlos III
Research Output:
Contribution to journal
Article
Research
Peer-review

Open access

Publication Information

Output type

Research Output:
Contribution to journal
Article
Research
Peer-review

Original language

English

Pages from-to (Number of pages)

Pages 4768-4781 (14 pages)

Journal (Volume, Issue Number)

Journal of Neuroscience (Volume 41, Issue 22)

Publication milestones

  • Published - 02/06/2021

Publication status

Published - 02/06/2021

ISSN

0270-6474

Publication IDs

  • Scopus: 85107352992
  • PubMed: 33911021

Abstract

Insulin-like growth factor-I (IGF-I) signaling plays a key role in learning and memory processes. While the effects of IGF-I on neurons have been studied extensively, the involvement of astrocytes in IGF-I signaling and the consequences on synaptic plasticity and animal behavior remain unknown. We have found that IGF-I induces long-term potentiation (LTPIGFI) of the postsynaptic potentials that is caused by a long-term depression of inhibitory synaptic transmission in mice. We have demonstrated that this long-lasting decrease in the inhibitory synaptic transmission is evoked by astrocytic activation through its IGF-I receptors (IGF-IRs). We show that LTPIGFI not only increases the output of pyramidal neurons, but also favors the NMDAR-dependent LTP, resulting in the crucial information processing at the barrel cortex since specific deletion of IGF-IR in cortical astrocytes impairs the whisker discrimination task. Our work reveals a novel mechanism and functional consequences of IGF-I signaling on cortical inhibitory synaptic plasticity and animal behavior, revealing that astrocytes are key elements in these processes.

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