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Metabolomics of Childhood Exposure to Perfluorooctanoic Acid: A Cross-Sectional Study

2018· article· en· W2990548575 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueISEE Conference Abstracts · 2018
Typearticle
Languageen
FieldEnvironmental Science
TopicPer- and polyfluoroalkyl substances research
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsPerfluorooctanoic acidMetabolomicsChemistryMetabolomeMetabolismMetabolic pathwayBiochemistryChromatography

Abstract

fetched live from OpenAlex

Background: Exposure to perfluorooctanoic acid (PFOA), a synthetic and persistent chemical used in commercial and industrial processes, is associated with reduced birth weight, increased adiposity, dyslipidemia, and liver injury. These diverse toxic effects suggest that PFOA elicits multiple biological responses. Identifying the metabolic changes induced by PFOA exposure could enhance our understanding of potential biological mechanisms.Study Objective: To identify metabolic changes associated with serum PFOA concentrations in 8-year old children using a metabolome-wide association study (MWAS).Methods: Using venous blood samples collected from 120 8-year old children in Cincinnati, OH, we quantified serum PFOA concentrations and performed untargeted metabolomic profiling by liquid chromatography-high-resolution mass spectrometry. We evaluated metabolic variations associated with PFOA concentrations using linear regression and false discovery rate (FDR) <20%. We identified associated metabolites with the METLIN mass spectral database and metabolic pathway enrichment analysis.Results: At FDR<20%, higher serum PFOA concentrations were associated with 239 detected chemical signals; 130 were positive associations. Initial annotation of the mass spectral data showed that both endogenous metabolites and perfluoroalkyl chemicals were associated with PFOA exposure. Using untargeted metabolomics, we detected PFOA, perfluorooctanesulfonic acid, and additional signals consistent with fluorinated chemicals. Biological alterations associated with PFOA concentrations included keratin sulfate degradation and metabolism of purine, caffeine, Vitamin E, linoleate, urea cycle/amino groups, glyoxylate, dicarboxylate, and galactose, consistent with changes to immunological, oxidative stress and catabolism pathways.Conclusions: This is the first study to perform a MWAS with PFOA exposure in children and provides new insights into the biological responses associated with PFOA exposure.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.096
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0080.002

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 head0.034
GPT teacher head0.316
Teacher spread0.282 · 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