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Record W2262292514 · doi:10.82308/23266

Pharmacogenetic studies of methotrexate and metafolin in a mouse model of severe and mild 5, 10-methylenetetrahydrofolate reductase deficiency

2004· article· en· W2262292514 on OpenAlexfundno aff
Natalya Karp

Bibliographic record

VenueeScholarship@McGill (McGill) · 2004
Typearticle
Languageen
FieldMedicine
TopicFolate and B Vitamins Research
Canadian institutionsnot available
FundersMax Bell Foundation
KeywordsMethylenetetrahydrofolate reductaseMethotrexateAntifolateMedicineInternal medicineEndocrinologyPharmacogeneticsAntimetabolitePharmacologyReductaseEnzymeBiologyGeneticsBiochemistryGenotypeGene

Abstract

fetched live from OpenAlex

Methylenetetrahydrofolate reductase (MTHFR) is a critical enzyme in folate metabolism. Severe enzymatic deficiency results in metabolic disease with occasional early demise. Mild deficiency is due to a common polymorphism (A222V) which increases risk for several common disorders. Pharmacogenetic studies of the antifolate methotrexate on Mthfr heterozygous knockout mice (Mthfr +/-), a model of the mild human deficiency, revealed significantly higher apoptosis rates in several tissues compared to wildtype mice (Mthfr +/+). These results suggest that mild MTHFR deficiency is a risk factor for methotrexate toxicity in mice and possibly in humans. A new medication, metafolin, was administered to Mthfr +/- mothers to assess survival of their Mthfr -/- pups. Survival rate of pups at 5 weeks of age from treated mothers was significantly higher than that from untreated mothers (54% versus 20%). The results of this study suggest that metafolin could be useful for treatment of severe MTHFR deficiency in humans.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.070
GPT teacher head0.336
Teacher spread0.266 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2004
Admission routes1
Has abstractyes

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