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Beta2‐adrenergic receptor (ADRB2) genotype is associated with acute effects and withdrawal symptoms of caffeine

2009· article· en· W113505461 on OpenAlexafffund
Erica Lynne Day Tasevski, Leah E. Cahill, Francesca Garofalo, Karen Eny, Ahmed El‐Sohemy

Bibliographic record

VenueThe FASEB Journal · 2009
Typearticle
Languageen
FieldMedicine
TopicCoffee research and impacts
Canadian institutionsUniversity of Toronto
FundersAdvanced Foods and Materials Network
KeywordsCaffeineMedicineGenotypeGenotypingAdverse effectAnxietyInternal medicineAdrenergicPhysiologyReceptorPsychiatryGeneBiologyGenetics

Abstract

fetched live from OpenAlex

Twin studies suggest that genetic variation plays an important role in the interindividual variability in caffeine consumption behaviour and its acute effects and withdrawal symptoms. The objective was to determine if genetic polymorphisms of β2‐adrenergic receptor (ADRβ2), a target of caffeine action, is associated with the self‐reported acute effects experienced within 12 hours of consuming a caffeinated beverage or withdrawal symptoms experienced up to 48 hours after ceasing to consume caffeine. Subjects (196 male, 479 female) aged 20‐29 years completed a caffeine habits questionnaire and provided a blood sample for genotyping a polymorphism in the ADRβ2 gene (rs1042713, 47G>A). Caffeine acute effects and withdrawal symptoms were compared between genotypes using chi‐square tests. In this population, the frequency of the G and A alleles were 55% and 45%, respectively. Subjects with the GG genotype were less likely than those with GA or AA genotypes to experience dizziness up to 12 hours after consuming a caffeinated beverage (3%, 9%, 8%, p=0.01). The proportion of subjects who experience anxiety/nervousness up to 48 hours after ceasing to consume a caffeinated beverage was 7%, 16% and 15% (p=0.05) for the GG, GA and AA genotypes, respectively. These findings suggest that ADRβ2 genotype is associated with certain adverse acute effects of caffeine and withdrawal symptoms. Grant Funding Source Advanced Foods and Materials Network

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 score0.002
Threshold uncertainty score0.007

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 communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.008
GPT teacher head0.261
Teacher spread0.253 · 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

Citations1
Published2009
Admission routes2
Has abstractyes

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