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Synaptic pruning through glial synapse engulfment upon motor learning.

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Title: Synaptic pruning through glial synapse engulfment upon motor learning.
Authors: Morizawa, Yosuke M. (AUTHOR), Matsumoto, Mami (AUTHOR), Nakashima, Yuka (AUTHOR), Endo, Narumi (AUTHOR), Aida, Tomomi (AUTHOR), Ishikane, Hiroshi (AUTHOR), Beppu, Kaoru (AUTHOR), Moritoh, Satoru (AUTHOR), Inada, Hitoshi (AUTHOR), Osumi, Noriko (AUTHOR), Shigetomi, Eiji (AUTHOR), Koizumi, Schuichi (AUTHOR), Yang, Guang (AUTHOR), Hirai, Hirokazu (AUTHOR), Tanaka, Kohichi (AUTHOR), Tanaka, Kenji F. (AUTHOR), Ohno, Nobuhiko (AUTHOR), Fukazawa, Yugo (AUTHOR), Matsui, Ko (AUTHOR)
Source: Nature Neuroscience. Nov2022, Vol. 25 Issue 11, p1458-1469. 12p.
Abstract: Synaptic pruning is a fundamental process of neuronal circuit refinement in learning and memory. Accumulating evidence suggests that glia participates in sculpting the neuronal circuits through synapse engulfment. However, whether glial involvement in synaptic pruning has a role in memory formation remains elusive. Using newly developed phagocytosis reporter mice and three-dimensional ultrastructural characterization, we found that synaptic engulfment by cerebellar Bergmann glia (BG) frequently occurred upon cerebellum-dependent motor learning in mice. We observed increases in pre- and postsynaptic nibbling by BG along with a reduction in spine volume after learning. Pharmacological blockade of engulfment with Annexin V inhibited both the spine volume reduction and overnight improvement of motor adaptation. These results indicate that BG contribute to the refinement of the mature cerebellar cortical circuit through synaptic engulfment during motor learning. Using new phagocytosis reporter mice and 3D ultrastructural characterization, Morizawa et al. show that motor learning induces synaptic engulfment by BG, which contributes to synaptic pruning during the improvement of motor adaptation. [ABSTRACT FROM AUTHOR]
Copyright of Nature Neuroscience is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Psychology and Behavioral Sciences Collection
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  Data: Synaptic pruning through glial synapse engulfment upon motor learning.
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  Data: <searchLink fieldCode="AR" term="%22Morizawa%2C+Yosuke+M%2E%22">Morizawa, Yosuke M.</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Matsumoto%2C+Mami%22">Matsumoto, Mami</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Nakashima%2C+Yuka%22">Nakashima, Yuka</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Endo%2C+Narumi%22">Endo, Narumi</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Aida%2C+Tomomi%22">Aida, Tomomi</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Ishikane%2C+Hiroshi%22">Ishikane, Hiroshi</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Beppu%2C+Kaoru%22">Beppu, Kaoru</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Moritoh%2C+Satoru%22">Moritoh, Satoru</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Inada%2C+Hitoshi%22">Inada, Hitoshi</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Osumi%2C+Noriko%22">Osumi, Noriko</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Shigetomi%2C+Eiji%22">Shigetomi, Eiji</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Koizumi%2C+Schuichi%22">Koizumi, Schuichi</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Yang%2C+Guang%22">Yang, Guang</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Hirai%2C+Hirokazu%22">Hirai, Hirokazu</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Tanaka%2C+Kohichi%22">Tanaka, Kohichi</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Tanaka%2C+Kenji+F%2E%22">Tanaka, Kenji F.</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Ohno%2C+Nobuhiko%22">Ohno, Nobuhiko</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Fukazawa%2C+Yugo%22">Fukazawa, Yugo</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Matsui%2C+Ko%22">Matsui, Ko</searchLink> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22Nature+Neuroscience%22">Nature Neuroscience</searchLink>. Nov2022, Vol. 25 Issue 11, p1458-1469. 12p.
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  Data: Synaptic pruning is a fundamental process of neuronal circuit refinement in learning and memory. Accumulating evidence suggests that glia participates in sculpting the neuronal circuits through synapse engulfment. However, whether glial involvement in synaptic pruning has a role in memory formation remains elusive. Using newly developed phagocytosis reporter mice and three-dimensional ultrastructural characterization, we found that synaptic engulfment by cerebellar Bergmann glia (BG) frequently occurred upon cerebellum-dependent motor learning in mice. We observed increases in pre- and postsynaptic nibbling by BG along with a reduction in spine volume after learning. Pharmacological blockade of engulfment with Annexin V inhibited both the spine volume reduction and overnight improvement of motor adaptation. These results indicate that BG contribute to the refinement of the mature cerebellar cortical circuit through synaptic engulfment during motor learning. Using new phagocytosis reporter mice and 3D ultrastructural characterization, Morizawa et al. show that motor learning induces synaptic engulfment by BG, which contributes to synaptic pruning during the improvement of motor adaptation. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Nature Neuroscience is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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