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Adolescent Nicotine Exposure Induces Molecular and Neuronal Features of Depressive Disorder in Adulthood in the Mesolimbic Dopamine System

2018· article· en· W3173309701 on OpenAlexafffundabout
Daniel J. Wright, Walter J. Rushlow, Steven R. Laviolette, Justine Renard, Hanna J. Szkudlarek

Bibliographic record

VenueThe FASEB Journal · 2018
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicNicotinic Acetylcholine Receptors Study
Canadian institutionsWestern University
FundersCanadian Institutes of Health Research
KeywordsNicotineVentral tegmental areaNucleus accumbensMood disordersPsychologyDopaminergicNeuroscienceDopamineAnxietyBipolar disorderMesolimbic pathwayMoodInternal medicineMedicinePsychiatry

Abstract

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Introduction/Objectives Smoking tobacco is the leading cause of preventable death world‐wide and the main psychoactive component of tobacco, nicotine, is associated with short‐ and long‐term mood‐state alterations. Adolescent nicotine exposure has been shown to induce long‐term depressive and anxiety‐related symptoms in adulthood. Nicotine exposure increases ventral tegmental area (VTA) dopaminergic (DA) inputs to the nucleus accumbens shell (NAcSh), comprising the mesolimbic DA system. Disturbances in the mesolimbic system are well‐established neuropathological correlates of mood disorders, however, the mechanisms by which adolescent nicotine exposure may cause the later development of mood and anxiety disorders is not currently understood. Mood disorders precipitate changes in activation state of intra‐cellular targets, such as glycogen synthase‐3 (GSK3) and extracellular signal‐regulated kinase (ERK). The objectives of the present study are to examine the effects of adolescent nicotine exposure on later adulthood neurobiological phenotypes associated with mood disorders. Methods Adolescent male Sprague‐Dawley rats were either administered 0.4mg/kg nicotine or saline vehicle injections three times per day for 11 days during a critical period of rodent adolescent neurodevelopment (post‐natal day 35–45). Rats matured into early adulthood (post‐natal day 65) and the VTA and NAc were subjected to protein extraction to examine intracellular molecular protein expression and activation profiles. Separate vehicle and nicotine‐treated groups underwent electrophysiology to record VTA and NAcSh neuronal activity. The VTA and NAcSh DA and medium spiny neuron (MSN) activity was recorded in vehicle and nicotine treated groups using dual‐cell neuronal recordings. Baseline recordings were examined along with recordings following a 0.4mg/kg nicotine injection and a subthreshold dose of 0.1mg/kg. Results Consistent with phenotypes observed in human depression, molecular analyses of the NAc revealed significant increases in the phosphorylation states of ERK1/2 (1: p=0.0219, 2: p=0.0151), GSK3 phosphorylation state (1: p=0.0029, 2: p=0.0028), and pGSK3:tGSK3 (site1: p=0.0165, site2: p=0.0291) in nicotine vs. vehicle treated rats. Furthermore, consistent with dysregulated mesolimbic activity states present in mood disorders, preliminary electrophysiological results indicate a larger increase in VTA DA and NAcSh MSN cellular firing frequency and burst rate in the nicotine treated group compared to the control group when subjected to 0.4mg/kg and o.1mg/kg doses of nicotine in adulthood. Conclusion Our results indicate that nicotine exposure in adolescence elicits long‐term changes in neuronal activity and intracellular molecular activation states, consistent with phenotypes observed in clinical mood disorder populations. Together, these findings identify a novel molecular and neuronal mechanism directly in the mesolimbic DA system, underlying the effects of adolescent nicotine exposure on the later development of mood disorders in adulthood. Support or Funding Information This work was supported by the Canadian Institutes of Health Research (MOP‐123378). This abstract is from the Experimental Biology 2018 Meeting. There is no full text article associated with this abstract published in The FASEB Journal .

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How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.007
GPT teacher head0.240
Teacher spread0.234 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2018
Admission routes3
Has abstractyes

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