MétaCan
Menu
Back to cohort

Microsomal triglyceride transfer protein (MTP) gene mutations in Canadian subjects with abetalipoproteinemia

2000· article· en· W1993322544 on OpenAlexafffundabout
Jian Wang, Robert A. Hegele

Bibliographic record

VenueHuman Mutation · 2000
Typearticle
Languageen
FieldMedicine
TopicLipid metabolism and disorders
Canadian institutionsRobarts Clinical Trials
FundersMedical Research CouncilHeart and Stroke Foundation of Canada
KeywordsMicrosomal triglyceride transfer proteinBiologyGeneticsGeneTriglycerideEndocrinologyCholesterolLipoproteinVery low-density lipoprotein

Abstract

fetched live from OpenAlex

Abetalipoproteinemia (ABL) is an extremely rare autosomal recessive disorder, which is characterized by defective assembly and secretion of plasma apolipoprotein (apo) B-containing lipoproteins. ABL results from mutations in the gene encoding the microsomal triglyceride transfer protein (MTP). We sequenced the MTP gene in six Canadian subjects with ABL, of whom four were found to be simple homozygotes and two were found to be compound heterozygotes for MTP gene mutations. Of the 8 MTP gene mutations identified, 6 had not been previously reported, including two new nonsense mutations (K448X and K842X), two new missense mutations (S590I and G746E), one new frameshift mutation (1820del1) and one new splice donor site mutation (G1770A). Despite appropriate treatment with high doses of fat-soluble vitamins in all subjects, there was a wide variation in the progression and severity of the clinical phenotypes. For example, the presence of severe retinopathy and neuropathy did not correlate with the type and position of the mutation, but rather with the age at diagnosis and onset of treatment with fat-soluble vitamins. These findings suggest that genetic and non-genetic factors can modulate the clinical impact of mutant MTP in ABL patients.

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)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.101
Threshold uncertainty score0.203

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0040.001
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.009
GPT teacher head0.237
Teacher spread0.228 · 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 designObservational
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

Citations69
Published2000
Admission routes3
Has abstractyes

Explore more

Same venueHuman MutationSame topicLipid metabolism and disordersFrench-language works237,207