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Record W2607384457 · doi:10.1161/atvb.33.suppl_1.a113

Abstract 113: Streptococcal Serum Opacity Factor Activity Diverts Human High Density Lipoprotein (HDL)-Cholesteryl Esters (CE) to the LDL-Receptor Pathway in Human Huh7 Hepatocytes

2013· article· en· W2607384457 on OpenAlexaff
David W. Fields, Baiba K. Gillard, Harry S. Courtney, Antonio M. Gotto, Henry J. Pownall

Bibliographic record

VenueArteriosclerosis Thrombosis and Vascular Biology · 2013
Typearticle
Languageen
FieldMedicine
TopicLipoproteins and Cardiovascular Health
Canadian institutionsFields Institute for Research in Mathematical Sciences
Fundersnot available
KeywordsInternal medicineEndocrinologyCholesterylester transfer proteinReverse cholesterol transportCholesterolChemistryLDL receptorLipoproteinHigh-density lipoproteinApolipoprotein BMedicine

Abstract

fetched live from OpenAlex

Plasma concentrations of HDL-cholesterol (C) are negatively correlated with atherosclerotic cardiovascular disease. Nevertheless, current evidence suggests that this correlation is not axiomatic and that some forms of HDL are dysfunctional and atherogenic. Moreover, clinical trials of interventions that raise HDL-C have not been uniformly successful suggesting that mechanisms by which HDL-C is increased determine its anti atherogenic potency. Additionally, mice overexpressing the HDL receptor, SR-BI, have lower plasma HDL-C concentrations and less atherosclerosis. Thus, new strategies that reduce HDL-C while promoting reverse cholesterol transport (RCT) may have therapeutic value. Serum opacity factor (SOF) disrupts HDL and forms three products_lipid-free apo A-I, a CE-depleted remnant neo HDL, and a cholesteryl ester-rich microemulsion (CERM) containing apo E and the CE of up to ~400,000 HDL particles. Hepatic CE uptake in Huh7 and HepG2 cells is faster when delivered by CERM than from the parent HDL, and cleared in vitro , in part, via the LDL-receptor (LDLR). We investigated the therapeutic potential of SOF in promoting RCT by comparing the uptake of HDL-, LDL- and CERM-CE in the final RCT steps_hepatocyte uptake, CE metabolism to cholesterol and bile salts, and their secretion and transfer to bile. HDL and LDL with [ 14 C]CE were labeled with [ 14 C]CE by incubation with lipoprotein deficient serum and the lipoproteins recovered by ultracentrifugation. CERM-labeled with [ 14 C]CE was obtained from SOF activity vs. HDL labeled with [ 14 C]CE. Incorporation efficiencies for HDL and LDL were 67% and 52% while [ 14 C]CE specific activities were 3.93 x 10 -4 and 3.04 x 10 -4 mCi/mg CE, respectively. [ 14 C]Metabolites from the hepatic uptake of HDL, LDL, and CERM were quantified by a two-solvent TLC system that resolves CE, C, and the major bile salts. The [ 14 C]CE of all three particles was taken up by cells and converted to free cholesterol with half-times of 2.7, 3.8, and 3.7 h respectively from HDL, CERM and LDL. Rates of bile salt synthesis and secretion are currently being investigated. These data show that SOF diverts potentially toxic HDL-CE to the hepatic LDLR pathway where it is hydrolyzed.

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)0.000
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 score0.004
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
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)0.0020.001

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 head0.035
GPT teacher head0.279
Teacher spread0.244 · 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".

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Citations0
Published2013
Admission routes1
Has abstractyes

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