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Record W7029334852

Insulin modulates the effects of early life adversity on executive functioning skills

2023· dissertation· en· W7029334852 on OpenAlexfundno aff

Bibliographic record

VenueeScholarship@McGill (McGill) · 2023
Typedissertation
Languageen
FieldArts and Humanities
TopicEthics, Aesthetics, and Art
Canadian institutionsnot available
FundersFonds de Recherche du Québec - SantéCanadian Institutes of Health ResearchUniversity of TorontoMcGill UniversityHarvard University
KeywordsInsulinQuality of life (healthcare)CognitionCognitive skill
DOInot available

Abstract

fetched live from OpenAlex

While the co-morbidity between metabolic and psychiatric disorders is well-established, the mechanisms are poorly understood, and exposure to early life adversity (ELA) is a common developmental risk factor. ELA is associated with altered insulin sensitivity and poor behavioral inhibition throughout life, which seems to contribute to the development of metabolic and psychiatric disturbances in the long term. Here, we demonstrate that individual differences in insulin functioning interact with ELA to modulate mesocorticolimbic dopaminergic-related executive functioning behavior in children and adults. First, we showed that the genetic background linked to fasting insulin (FI) interacts with postnatal adversity to predict impulsivity in childhood, which is a DA-related behavior. Second, since impulsivity is an endophenotype linked to the development of substance use disorders (SUDs), we also demonstrated that the same FI genetic background interacted with adversity to predict SUD and addiction related behaviors in adulthood. Third, using the sex-specific FI genome wide association studies, we established that the FI genetic background interacts with ELA to predict executive function psychopathology throughout development in a sex-specific manner. Furthermore, using mendelian randomization, we were able to establish a causal association between FI and impulsive behavior in females exposed to adversity. Lastly, we performed an exploratory mechanistic study in rodents to investigate the effect of early adversity and insulin on dopaminergic axonal growth pathways. Since the Netrin-1 guidance cue system participates in the maturation of the dopamine circuitry via its interaction with its DCC receptor, we showed that insulin action on miR-218, which is a negative DCC regulator, could be mediating the metabolic effects of early adversity on DCC expression in the medial prefrontal cortex of male rodents, which could potentially explain the resulting altered executive functioning behaviors. This work may contribute to the early identification of vulnerability to chronic adult diseases associated with early adversity, as well as inform on the mechanisms involved

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)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.017

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0050.000

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 head0.019
GPT teacher head0.225
Teacher spread0.206 · 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 designObservational
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".

Quick stats

Citations0
Published2023
Admission routes1
Has abstractyes

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