Evidence map›Paper›PMID 37853211›Full record

ArticleCommunications biology2023

Neuron Navigator 1 (Nav1) regulates the response to cocaine in mice.

Jared R Bagley, Yalun Tan, Wan Zhu, Zhuanfen Cheng, Saori Takeda, Zhouqing Fang, Ahmed Arslan, Meiyue Wang, Yuan Guan, Lihua Jiang and 6 more

Open access · goldAbstract read
In one paragraph

Article in Communications biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 70% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

16 authors at 4 institutions in 1 country.

Jared R Bagley *Department of Psychology, Binghamton University, Binghamton, NY, USA.
Yalun Tan *Department of Anesthesiology, Pain and Perioperative Medicine Stanford University Medical School, Stanford, CA, USA.
Wan ZhuDepartment of Anesthesiology, Pain and Perioperative Medicine Stanford University Medical School, Stanford, CA, USA.
Zhuanfen ChengDepartment of Anesthesiology, Pain and Perioperative Medicine Stanford University Medical School, Stanford, CA, USA.
Saori TakedaDepartment of Anesthesiology, Pain and Perioperative Medicine Stanford University Medical School, Stanford, CA, USA.
Zhouqing FangDepartment of Anesthesiology, Pain and Perioperative Medicine Stanford University Medical School, Stanford, CA, USA.ORCID http://orcid.org/0000-0002-7418-1313
Ahmed ArslanDepartment of Anesthesiology, Pain and Perioperative Medicine Stanford University Medical School, Stanford, CA, USA.
Meiyue WangDepartment of Anesthesiology, Pain and Perioperative Medicine Stanford University Medical School, Stanford, CA, USA.
Yuan GuanDepartment of Anesthesiology, Pain and Perioperative Medicine Stanford University Medical School, Stanford, CA, USA.
Lihua JiangDepartment of Genetics, Stanford University Medical School, Stanford, CA, USA.
Ruiqi JianDepartment of Genetics, Stanford University Medical School, Stanford, CA, USA.ORCID http://orcid.org/0000-0003-2406-5303
Feng GuDepartment of Neurology, Stanford University Medical School, Stanford, CA, USA.
Isabel ParadaDepartment of Neurology, Stanford University Medical School, Stanford, CA, USA.
David PrinceDepartment of Neurology, Stanford University Medical School, Stanford, CA, USA.
J David JentschDepartment of Psychology, Binghamton University, Binghamton, NY, USA.ORCID http://orcid.org/0000-0002-6483-8844
Gary PeltzDepartment of Anesthesiology, Pain and Perioperative Medicine Stanford University Medical School, Stanford, CA, USA. gpeltz@stanford.edu.ORCID http://orcid.org/0000-0001-6191-7697
Stanford Medicine · USBinghamton University · USStanford University · USUniversity of North Texas · US

Funding

Development and Neuroadaptations in Alcohol and Addictions (DNA2)T32AA025606 · NIAAA · STATE UNIVERSITY OF NY,BINGHAMTON · PI J. DAVID JENTSCH · 2017 to 2026
$2.7M
Intersecting genetic risk for extreme cocaine self-administration with dopamine neurotransmissionK99DA055091 · NIDA · STATE UNIVERSITY OF NY,BINGHAMTON · PI BAGLEY, JARED R · 2023 to 2023
$140k
NIAAA NIH HHS T32 AA025606NIDA NIH HHS K99 DA055091
6 · The paper itself

Abstract

Genetic variation accounts for much of the risk for developing a substance use disorder, but the underlying genetic factors and their genetic effector mechanisms are mostly unknown. Inbred mouse strains exhibit substantial and heritable differences in the extent of voluntary cocaine self-administration. Computational genetic analysis of cocaine self-administration data obtained from twenty-one inbred strains identified Nav1, a member of the neuron navigator family that regulates dendrite formation and axonal guidance, as a candidate gene. To test this genetic hypothesis, we generated and characterized Nav1 knockout mice. Consistent with the genetic prediction, Nav1 knockout mice exhibited increased voluntary cocaine intake and had increased motivation for cocaine consumption. Immunohistochemistry, electrophysiology, and transcriptomic studies were performed as a starting point for investigating the mechanism for the Nav1 knockout effect. Nav1 knockout mice had a reduced inhibitory synapse density in their cortex, increased excitatory synaptic transmission in their cortex and hippocampus, and increased excitatory neurons in a deep cortical layer. Collectively, our results indicate that Nav1 regulates the response to cocaine, and we identified Nav1 knockout induced changes in the excitatory and inhibitory synaptic balance in the cortex and hippocampus that could contribute to this effect.

Indexed as

CocaineAnimalsHippocampusMiceMice, KnockoutNeuronsSynaptic TransmissionCocaine

Identifiers

PMID37853211
PMCPMC10584906
OpenAlexW4387730635

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.