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Lipoprotein lipase polymorphisms and responses to long‐term overfeeding

2002· article· en· W2083193922 on OpenAlexaff
Olavi Ukkola, Angelo Tremblay, Claude Bouchard

Bibliographic record

VenueJournal of Internal Medicine · 2002
Typearticle
Languageen
FieldMedicine
TopicDiabetes, Cardiovascular Risks, and Lipoproteins
Canadian institutionsUniversité Laval
FundersNational Institute of Diabetes and Digestive and Kidney DiseasesNational Institutes of Health
KeywordsLipoprotein lipaseInternal medicineEndocrinologyVery low-density lipoproteinTriglycerideMedicineLipoproteinHigh-density lipoproteinGenotypeBody mass indexHepatic lipaseCholesterolBiologyGeneticsAdipose tissueGene

Abstract

fetched live from OpenAlex

OBJECTIVES: The role of the lipoprotein lipase (LPL) gene Hind III, S447X, Bam HI and Pvu II polymorphisms on body composition and lipid and lipoprotein changes in response to long-term overfeeding was studied. SUBJECTS: Twelve pairs of male monozygotic twins ate a 4.2 MJ day-1 energy surplus, 6 days a week, during a period of 100 days. RESULTS: Overfeeding induced a decrease in high-density lipoprotein 2 cholesterol (HDL2-C) and HDL2-C to HDL3-C ratio in the H2H2 (n = 12) subjects of the LPL Hind III polymorphism. In contrast, the H1H1/H1H2 (n = 12) subjects experienced increases both in the HDL2-C and HDL2-C to HDL3-C ratio (P = 0.009 and 0.007, respectively, for differences in percentage changes between H2H2 and H1H1/H1H2). In addition, the H2H2 genotype was associated with higher levels of very-low-density lipoprotein triglyceride (VLDL-TG) (P < 0.03) and VLDL-C (P < 0.05) before and after overfeeding and higher HDL-TG levels (P < 0.003) after overfeeding. Postheparin lipoprotein lipase (PH-LPL) activity tended to increase in H1H1/H1H2 and decrease in H2H2 subjects. The H2H2 subjects had lower total HDL-C than those with the genotype H1H1/H1H2 4 months and 5 years after overfeeding (P = 0.04 and 0.10, respectively). The plasma lipid differences were similar amongst subjects with the S447S (n = 4) genotype of the S447X and H2H2 genotype of the Hind III polymorphisms. Body composition changes in response to overfeeding were not different between the Hind III genotypes. LPL Pvu II and Hind III polymorphisms were associated weakly with body weight gain (P = 0.015-0.039) but strongly with adipose tissue LPL activity (P < 0.01) after the caloric surplus. CONCLUSIONS: We conclude that the H2H2 subjects of the LPL gene Hind III polymorphism experience a decrease in the concentration of antiaterogenic lipoproteins when they are exposed to long-term positive energy balance. This may have been partly caused by a diminished catabolism of TG-rich particles in H2H2 subjects. LPL Pvu II and Bam HI polymorphisms were associated with body weight gain and adipose tissue LPL activity. Genetic variation at the LPL locus could thus be one of the factors responsible for the inter-individual differences observed in plasma lipid and lipoprotein responses to chronic positive energy balance. It must be kept in mind that the sample size for this study was small. Nonetheless, it provides useful information on the genes and pathways that should be further explored.

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 score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.027
GPT teacher head0.280
Teacher spread0.253 · 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

Citations13
Published2002
Admission routes1
Has abstractyes

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