Evidence map›Paper›PMID 19498424›Full record

ArticleActa pharmacologica Sinica2009

Nicotine modulates GABAergic transmission to dopaminergic neurons in substantia nigra pars compacta.

Cheng Xiao, Ke-chun Yang, Chun-yi Zhou, Guo-zhang Jin, Jie Wu, Jiang-hong Ye

Open access · bronzeAbstract read
In one paragraph

Article in Acta pharmacologica Sinica, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.3field-weighted citation impact, top 41% 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

3 citing papers in PubMed, 9 citations in OpenAlex.

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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

6 authors at 3 institutions in 2 countries.

Cheng XiaoDepartment of Anesthesiology, Pharmacology and Physiology, New Jersey Medical School/UMDNJ, Newark, NJ 07103, USA.
Ke-chun Yang
Chun-yi Zhou
Guo-zhang Jin
Jie Wu
Jiang-hong Ye
Barrow Neurological Institute · USRutgers New Jersey Medical SchoolShanghai Institute of Materia Medica · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimDopaminergic neurons in the substantia nigra pars compacta (SNc) play important roles in motor control and drug addiction. As the major afferent, GABAergic innervation controls the activity of SNc dopaminergic neurons. Although it is clear that nicotine modulates SNc dopaminergic neurons by activating subtypes of somatodendritic nicotinic acetylcholine receptors (nAChRs), the detailed mechanisms of this activation remain to be addressed.

methodsIn the current study, we recorded GABA(A) receptor-mediated spontaneous inhibitory postsynaptic currents (sIPSCs) from dissociated SNc dopaminergic neurons that were obtained using an enzyme-free procedure. These neurons preserved some functional terminals after isolation, including those that release GABA.

resultsWe found that both extra- and intra-cellular calcium modulates sIPSCs in these neurons. Furthermore, both nicotine and endogenous acetylcholine enhance the frequency of sIPSCs. Moreover, endogenous acetylcholine tonically facilitates sIPSC frequency, primarily by activating the alpha4beta2* nAChRs on the GABAergic terminals.

conclusionNicotine facilitates GABA release onto SNc dopaminergic neurons mainly via the activation of presynaptic alpha4beta2* nAChRs.

Indexed as

AcetylcholineAnimalsCalciumDopamineGlutamic AcidInhibitory Postsynaptic PotentialsIn Vitro TechniquesNeuronsNicotineNicotinic AgonistsRatsReceptors, GABA-AReceptors, NicotinicReceptors, PresynapticSubstantia NigraAcetylcholineCalciumDopamineGlutamic AcidNicotineNicotinic Agonistsnicotinic receptor alpha4beta2Receptors, GABA-AReceptors, NicotinicReceptors, Presynaptic

Identifiers

PMID19498424
PMCPMC4002363
OpenAlexW1998285719

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Registered trials

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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.