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Article . 2022 . Peer-reviewed
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Article . 2022
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Microglia-mediated degradation of perineuronal nets promotes pain

Authors: Shannon Tansley; Ning Gu; Alba Ureña Guzmán; Weihua Cai; Calvin Wong; Kevin C. Lister; Einer Muñoz-Pino; +17 Authors

Microglia-mediated degradation of perineuronal nets promotes pain

Abstract

Activation of microglia in the spinal cord dorsal horn after peripheral nerve injury contributes to the development of pain hypersensitivity. How activated microglia selectively enhance the activity of spinal nociceptive circuits is not well understood. We discovered that after peripheral nerve injury, microglia degrade extracellular matrix structures, perineuronal nets (PNNs), in lamina I of the spinal cord dorsal horn. Lamina I PNNs selectively enwrap spinoparabrachial projection neurons, which integrate nociceptive information in the spinal cord and convey it to supraspinal brain regions to induce pain sensation. Degradation of PNNs by microglia enhances the activity of projection neurons and induces pain-related behaviors. Thus, nerve injury–induced degradation of PNNs is a mechanism by which microglia selectively augment the output of spinal nociceptive circuits and cause pain hypersensitivity.

Keywords

Rats, Sprague-Dawley, Spinal Cord Dorsal Horn, Hyperalgesia, Peripheral Nerve Injuries, Animals, Pain, Microglia, Extracellular Matrix, Rats

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Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
150
Top 1%
Top 10%
Top 0.1%
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