Folate receptor alpha in human plasma: relationship to folate status and effect of supplementation in healthy reproductive aged females (827.17)
Bibliographic record
Abstract
Little research has been conducted to determine the effect of chronic folic acid (FA) intake on folate receptors (FR). We aimed to determine if long‐term supplementation with FA (140 or 400 μg/d) changes expression of FRα in blood. Samples from a 40‐wk randomized placebo controlled trial in 144 reproductive aged females were used. Plasma FRα was determined by ELISA, plasma folate vitamer concentrations by LC‐MS/MS, and red blood cell (RBC) folate by microbiologic assay. The geometric mean (SD) FRα concentration was 12.4 (1.7) nmol/L at baseline and 13.2 (1.6) nmol/L at 40‐wks. There were no significant correlations between FRα and any blood folate indices at baseline, however, after 40‐wks, FRα was significantly correlated with RBC folate (Spearman’s r = 0.217, P = 0.021). In a multivariable model, FRα at baseline significantly predicted FRα at 40‐wks (Ratio 2.41, 95% CI 2.23 – 2.60, P < 0.001). While there was no overall effect of treatment ( P = 0.124), exploratory subgroup analysis revealed a borderline association of 400 μg/d FA with FRα at 40‐wks (Ratio 1.10, 95% CI 1.00‐1.20, P = 0.043), yet no effect of 140 μg/d FA (Ratio 1.04, 95% CI 0.95‐1.13, P = 0.414). This suggests that FRα in plasma, which may reflect FRα from decomposed RBCs and neutrophils, may be slightly increased by long‐term FA supplementation. Larger studies are needed to determine effects of chronic FA exposure on FR expression, including in other tissues. Grant Funding Source : Supported by University of Otago Research Grant
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
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".