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Record W2297453644 · doi:10.1161/atvb.35.suppl_1.326

Abstract 326: Streptococcal Serum Opacity Factor Product, Cholesteryl Ester Rich Particles, Induce Cholesterol Ester Metabolism and Bile Acid Secretion after Uptake by Human Huh7 Hepatocytes

2015· article· en· W2297453644 on OpenAlexaff
Baiba K. Gillard, Perla Rodriguez, David W. Fields, Joe L. Raya, William R. Lagor, Harry S. Courtney, Antonio M. Gotto, Henry J. Pownall

Bibliographic record

VenueArteriosclerosis Thrombosis and Vascular Biology · 2015
Typearticle
Languageen
FieldMedicine
TopicDrug Transport and Resistance Mechanisms
Canadian institutionsFields Institute for Research in Mathematical Sciences
Fundersnot available
KeywordsInternal medicineEndocrinologyCholesterylester transfer proteinCholesterolReverse cholesterol transportChemistryLDL receptorCholesteryl esterIn vivoBile acidChenodeoxycholic acidLipoproteinMedicineBiology

Abstract

fetched live from OpenAlex

Plasma concentrations of HDL-cholesterol (C) negatively correlate with atherosclerotic cardiovascular disease. Nevertheless, current evidence suggests that this correlation is not axiomatic and that some forms of HDL are dysfunctional and atherogenic. 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 levels 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, including a cholesteryl ester-rich microemulsion (CERM) containing apo E and the CE of ~400,000 HDL particles. Hepatic CE uptake in Huh7 cells is faster when delivered by CERM than by HDL, and cleared both in vitro and in vivo, in part, via the LDL-receptor (LDLR). We investigated the therapeutic potential of SOF in promoting RCT by comparing the final RCT steps, hepatic uptake, CE metabolism to cholesterol and bile salts, and secretion, of [ 14 C]-CE-HDL, -CERM and [[Unable to Display Character: –]]LDL. Cells were pulse-labeled for 2 h with 20-50 ug/mL HDL protein (6-17 ug/mL [ 14 C]-CE), or the CE-equivalent as CERM or LDL, and chased for 0, 2 or 6 h. Cells, pulse media and chase media were analyzed for sterols by beta-counting, TLC and solvent partitioning. [ 14 C]CE uptake from LDL was greater than from CERM (2-4X) and HDL (5-10X). Halftimes for [ 14 C]CE hydrolysis were 3.0 ± 0.2, 4.4 ± 0.6 and 5.4 ± 0.7 h respectively for HDL, CERM and LDL-CE. Bile acids in cells after uptake from HDL or CERM were low, <0.2% of total sterol but higher in cells after uptake from LDL, 4.2 ± 2.2 % of total sterol ( p = 0.03 ) at the 2 h chase time. The fraction of sterols secreted as bile acids was comparable for all three donor particles. After the 2 h chase, ~40% of the secreted sterols were bile acids, and after 6 h, ~ 50% were bile acids. These ratios were the same for cells treated with 14 C-CE-HDL, CERM or LDL. Thus, the rates of hepatic metabolism of CERM-CE to free cholesterol, to bile acids and secretion are intermediate between those for HDL- and LDL-CE, supporting the therapeutic potential of SOF as a promoter of RCT.

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 score0.002
Threshold uncertainty score0.006

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 head0.045
GPT teacher head0.282
Teacher spread0.237 · 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
Published2015
Admission routes1
Has abstractyes

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