Indicators and methods for folate, vitamin B-12, and vitamin B-6 status assessment in humans
Bibliographic record
Abstract
PURPOSE OF REVIEW: Nutritional status assessment is a critical tool for the identification of nutrient deficiencies or excesses in individual healthcare and epidemiologic screening. Because low but 'normal' status of folate, vitamin B-12, and vitamin B-6 have been associated with an increased risk of chronic diseases, research has focused on defining sensitive indicators of B-vitamin status and on the development and validation of analytical methods for their quantification. RECENT FINDINGS: With the increasing availability and more user-friendly configuration of liquid chromatograph-tandem mass spectrometers (LC-MS/MS), numerous analytical methods for determination of B-vitamin indicators by LC-MS/MS have been developed over the last years. These methods include folate assays for simultaneous determination of numerous folate forms at their specific reduction level. The functional indicators for vitamin B-12 status are plasma methylmalonic acid and total homocysteine and can be measured, either individually or in combination, by high-throughput analysis using LC-MS/MS. Methods for vitamin B-6 status assessment are multianalyte platforms that determine vitamin B-6 forms and functional indicators by the same assay. SUMMARY: The high sensitivity, selectivity, and specificity of isotope-dilution LC-MS/MS [and gas chromatography-mass spectrometry (GC-MS)] techniques have allowed the development of reference methods and the creation of multianalyte platforms. The additional convenience of automated sample preparation enables high sample throughput and makes those sensitive methods prospective analytical candidates for larger settings including clinical laboratories.
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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 | 0.004 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 0.004 |
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".