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Record W4405893285 · doi:10.1016/j.xops.2024.100699

Association between Plasma Metabolite Levels and Myopia: A 2-Sample Mendelian Randomization Study

2024· article· en· W4405893285 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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueOphthalmology Science · 2024
Typearticle
Languageen
FieldMedicine
TopicOphthalmology and Visual Impairment Studies
Canadian institutionsnot available
FundersWenzhou Medical University
KeywordsMendelian randomizationAssociation (psychology)MetaboliteSample (material)GeneticsBiologyMedicinePsychologyInternal medicineChemistryChromatographyGenotypeGeneGenetic variants

Abstract

fetched live from OpenAlex

Purpose: The role of plasma metabolites in myopia is still unclear, and previous studies are limited by various factors and were mostly observational. This study aims to investigate the causal relationship between plasma metabolites and myopia using 2-sample Mendelian randomization (MR). Design: A 2-sample MR study. Subjects and Participants: This study analyzed plasma metabolites consisting of 1091 metabolites and 309 metabolite ratios in 8299 individuals from the Canadian Longitudinal Study on Aging cohort. Summary statistics for myopia were obtained from the UK Biobank, encompassing 37 362 cases and 460 536 controls. Methods: Causal effect estimates were primarily derived using the inverse variance weighting (IVW) method and the constrained maximum likelihood and model averaging-based MR method. Statistical significance for the MR effect estimate was defined as a false discovery rate (FDR) of <0.05. Additionally, we used the MR Steiger directionality test to examine whether exposure was directionally causal for the outcome. Furthermore, 4 supplementary methods were used for analysis: weighted median, MR-Egger, simple mode, and weighted mode. Main Outcome Measures: Genetic causal association between plasma metabolites and myopia. Results: The IVW analysis results indicated that elevated levels of 1-arachidonoyl-GPE (20:4n6) (P_FDR = 5.80E-06), linoleoyl-arachidonoyl glycerol (18:2/20:4)[1] (P_FDR = 2.24E-06), and linoleoyl-arachidonoyl-glycerol (18:2/20:4) [2](P_FDR = 0.0242) have a protective effect on myopia. Elevated levels of 4 plasma metabolite ratios, including the phosphate to linoleoyl-arachidonoyl-glycerol (18:2/20:4) [2] ratio (P_FDR = 0.0029), citrulline to dimethylarginine (SDMA + ADMA) ratio (P_FDR = 0.0207), oleoyl-linoleoyl-glycerol (18:1/18:2) [2] to linoleoyl-arachidonoyl-glycerol (18:2/20:4) [1] ratio (P_FDR = 0.0230), and retinol (vitamin A) to linoleoyl-arachidonoyl-glycerol (18:2/20:4) [2] ratio (P_FDR = 0.0230), were significantly associated with a higher risk of myopia. Conclusions: This study provides evidence of a causal relationship between specific plasma metabolites and myopia, highlighting potential therapeutic targets and contributing to the understanding of myopia's etiology. Future research should include diverse populations to enhance the generalizability of these findings. Financial Disclosures: The author(s) have no proprietary or commercial interest in any materials discussed in this article.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation 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 score0.004
Threshold uncertainty score0.582

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.057
GPT teacher head0.391
Teacher spread0.334 · 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