Trans-synaptic modulation of cholinergic circuits tunes opioid reinforcement Article Swipe
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· 2025
· Open Access
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· DOI: https://doi.org/10.1073/pnas.2409325122
Opioids trigger structural and functional neural adaptations of the reward circuit that lead to dependence. Synaptic cell adhesion molecules (CAMs) play a pivotal role in circuit organization and present prime candidates for orchestrating remodeling of neural connections in response to drug exposure. However, the contribution of CAMs to opioid-induced rewiring of the reward circuit has not been explored. Here, we used unbiased molecular profiling to identify CAMs in the nucleus accumbens (NAc) modulated by morphine administration. We found that opioid exposure induces the expression of ELFN1, a CAM selectively expressed in cholinergic interneurons in the NAc. We determined that ELFN1 acts trans-synaptically to modulate the strength and plasticity of the glutamatergic inputs onto cholinergic neurons via the recruitment of presynaptic metabotropic glutamate receptor 4 (mGlu4). Disruption of Elfn1 diminished morphine reward and intake in self-administering mice. Together, our findings identify a key molecular factor responsible for adjusting the strength of opioid effects by modulating the configuration of striatal circuitry in an experience-dependent fashion and unveil potential therapeutic target for combating opioid abuse.
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- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1073/pnas.2409325122
- OA Status
- green
- Cited By
- 2
- References
- 94
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4408662270
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4408662270Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1073/pnas.2409325122Digital Object Identifier
- Title
-
Trans-synaptic modulation of cholinergic circuits tunes opioid reinforcementWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2025Year of publication
- Publication date
-
2025-03-20Full publication date if available
- Authors
-
Stefano Zucca, Gloria Brunori, Henry A. Dunn, Colten K. Lankford, Laurie P. Sutton, Blanca M. Muñoz‐Flores, Nycole A. Maza, Omar Sial, Gogce Crynen, Rafael Luján, Kirill A. MartemyanovList of authors in order
- Landing page
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https://doi.org/10.1073/pnas.2409325122Publisher landing page
- Open access
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YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
-
https://www.ncbi.nlm.nih.gov/pmc/articles/11962452Direct OA link when available
- Concepts
-
Neuroscience, Glutamatergic, Nucleus accumbens, Cholinergic, Opioid, Cholinergic neuron, Biological neural network, Synaptic plasticity, Glutamate receptor, Chemistry, Psychology, Receptor, Central nervous system, BiochemistryTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
2Total citation count in OpenAlex
- Citations by year (recent)
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2025: 2Per-year citation counts (last 5 years)
- References (count)
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94Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.connections | 36 |
| abstract_inverted_index.dependence. | 14 |
| abstract_inverted_index.presynaptic | 119 |
| abstract_inverted_index.recruitment | 117 |
| abstract_inverted_index.responsible | 144 |
| abstract_inverted_index.selectively | 88 |
| abstract_inverted_index.therapeutic | 166 |
| abstract_inverted_index.contribution | 44 |
| abstract_inverted_index.interneurons | 92 |
| abstract_inverted_index.metabotropic | 120 |
| abstract_inverted_index.organization | 26 |
| abstract_inverted_index.configuration | 155 |
| abstract_inverted_index.glutamatergic | 110 |
| abstract_inverted_index.orchestrating | 32 |
| abstract_inverted_index.opioid-induced | 48 |
| abstract_inverted_index.administration. | 75 |
| abstract_inverted_index.self-administering | 134 |
| abstract_inverted_index.trans-synaptically | 101 |
| abstract_inverted_index.experience-dependent | 161 |
| cited_by_percentile_year.max | 97 |
| cited_by_percentile_year.min | 95 |
| countries_distinct_count | 2 |
| institutions_distinct_count | 11 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/3 |
| sustainable_development_goals[0].score | 0.8299999833106995 |
| sustainable_development_goals[0].display_name | Good health and well-being |
| citation_normalized_percentile.value | 0.88477762 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | True |