Bibliographic record
Abstract
Objective:The aim of this study was to investigate whether 4 functional single nucleotide polymorphisms (SNPs) in glutathione peroxidases (GPX1 and GPX4) and selenoprotein P (SEPP) modify the effect of intervention with selenium-rich foods on concentrations of blood selenium and selenoprotein expression (erythrocyte GPX activity and plasma SEPP concentration).Methods: In a parallel dietary intervention study 83 healthy men and women aged 50-74 y were randomly assigned to either a control or an intervention group.Participants in the intervention group were provided with 5 portions of 200 g raw fish and shellfish once a week for 26 wk, corresponding to ∼50.3 μg Se/d.The participants in the control group received no intervention and were advised to maintain their habitual diets.Selected functional polymorphisms were GPX1/rs1050450, GPX4/rs713041, SEPP1/rs3877899, and SEPP1/rs7579.Genotypes were determined through the use of reverse transcriptase-polymerase chain reaction and allelic discrimination on ABI 7900HT instruments.Samples were run in duplicates with known positive controls and 3 negative controls.Duplicates yielded 100% identical genotypes.Whole-blood selenium analyses were conducted by inductively coupled plasma mass spectrometry with an ELAN 6100 DRC, and plasma SEPP concentration was determined from its selective retention by heparin-affinity HPLC and online detection by inductively coupled plasma dynamic reaction cell mass spectrometry of selenium.GPX activity was spectrophotometrically assayed in erythrocyte lysates on a Pentra 400 with t-butylhydroperoxide as substrate and related to the amount of hemoglobin in the lysates.Results: The intervention diet resulted in higher concentrations of both SEPP (P = 0.018) and blood selenium (P = 0.088) in wild-type allele carriers of the SEPP1/rs3877899 polymorphism compared with variant allele carriers.None of the other polymorphisms modified the biomarker responses following the intervention.Carriers of the variant GPX1 allele had significantly lower erythrocyte GPX enzyme activity compared with wild-type carriers independent of intervention.Conclusions: Our study shows that variation in the SEPP1 gene modifies biomarkers of selenium status after intake of selenium-rich foods.This opens the way for a more personalized approach to micronutrient requirements.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.012 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".