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Record W4409583985 · doi:10.26685/urncst.778

Research Protocol: Investigating the Effect of Prenatal Nicotine Exposure on Short-term and Long-term Memory Using Behavioural and Molecular Models

2025· article· en· W4409583985 on OpenAlexaff
Hermela M. Kebede, M. Asim Mahmood

Bibliographic record

VenueUndergraduate Research in Natural and Clinical Science and Technology (URNCST) Journal · 2025
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicNicotinic Acetylcholine Receptors Study
Canadian institutionsOntario College of Art and DesignUniversity of Toronto
Fundersnot available
KeywordsTerm (time)NicotinePrenatal exposureShort-term memoryPsychologyNeuroscienceMedicineBiologyPregnancyCognitionWorking memoryGeneticsPhysics

Abstract

fetched live from OpenAlex

Introduction: Prenatal nicotine exposure disrupts brain development, leading to conditions like ADHD, anxiety, and cognitive deficits by altering neurotransmitter activity and gene expression. Nicotine affects brain regions such as the prefrontal cortex, hippocampus, and amygdala, reducing brain volume, particularly in the frontal cortex and cerebellum. While research links prenatal nicotine to memory deficits, gaps remain in understanding its effects on molecular mechanisms like proteasomal activity, protein synthesis, and Late-Phase Long-Term Potentiation (L-LTP). This study combines behavioral tasks with proteasomal activity analysis to investigate these mechanisms. Methods: This study design uses behavioural tests, Active Place Avoidance (APA) and Novel Object Recognition (NOR) and protein synthesis assessment to investigate the molecular and behavioral effects of prenatal nicotine exposure on short and long-term memory. Anticipated Results: APA task: The number of entries into the shock zone, the duration spent in the shock zone, and the latency to enter the shock zone will be significantly different between experimental and control groups (p< 0.05). NOR test: The time spent exploring the novel object will be significantly different between experimental and control groups (p< 0.05). Protein synthesis evaluation: The t-test that evaluates proteasome activity will yield significant differences between experimental and control groups (p< 0.05). We hypothesize that mice prenatally exposed to nicotine (experimental group) will exhibit significant difference in proteasomal activity during L-LTP, alongside measurable difference seen in APA and NOR test performance, compared to the control group. Discussion: Anticipated results suggest prenatal nicotine exposure affects protein synthesis and proteasome activity, key to L-LTP and memory. Challenges include ethical and logistical issues with animal use, nicotine variability, and maintaining experimental precision in APA and NOR tests. Measuring L-LTP and neuronal protein synthesis is complex, requiring advanced methods and standardized protocols to address region-specific processes and variability. Conclusion: This study explores prenatal nicotine exposure's impact on memory through altered proteasome activity and behavioral tests (APA, NOR). By analyzing protein synthesis in L-LTP, it examines disruptions in synaptic plasticity. Future research could use fMRI to study protein synthesis in prenatally exposed individuals.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

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)0.008
metaresearch head score (Gemma)0.006
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: Protocol · Consensus signal: Protocol
Teacher disagreement score0.068
Threshold uncertainty score0.226

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.006
Meta-epidemiology (narrow)0.0030.002
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0040.002
Research integrity0.0040.004
Insufficient payload (model declined to judge)0.0680.021

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 head0.066
GPT teacher head0.445
Teacher spread0.380 · 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
GenreProtocol

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
Published2025
Admission routes1
Has abstractyes

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