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Record W4312764190 · doi:10.1161/atvb.42.suppl_1.215

Abstract 215: Enhanced Atherosclerosis, Inflammation And Oxidized Phospholipid Reactivity In Female Transgenic Mice Expressing Human Lp(a)

2022· article· en· W4312764190 on OpenAlexaff
Julia M. Assini, chuce zing, Justin Clark, Michael B. Boffa, Marlys L. Koschinsky, Jan Borén

Bibliographic record

VenueArteriosclerosis Thrombosis and Vascular Biology · 2022
Typearticle
Languageen
FieldMedicine
TopicLipoproteins and Cardiovascular Health
Canadian institutionsSt. Thomas UniversityWestern UniversityRobarts Clinical Trials
Fundersnot available
KeywordsApolipoprotein BInternal medicineEndocrinologyInflammationChemistryCholesterolGenetically modified mouseLipoproteinOil Red OApolipoprotein EPCSK9Molecular biologyTransgeneMedicineBiologyLDL receptorBiochemistryAdipose tissueGene

Abstract

fetched live from OpenAlex

Despite increased clinical interest in the unique lipoprotein Lp(a), many questions remain about the molecular mechanisms by which it contributes to atherosclerotic cardiovascular disease. To address this knowledge gap we generated transgenic mice expressing both human apolipoprotein(a) (apo(a)) and human apoB100 (Tg(LPA +/0 ;APOB +/0 )), with pathogenic levels of plasma Lp(a) (mean 134 mg/dL; range 87–250 mg/dL). Female mice (n=12/group) were fed a high-fat, high-cholesterol diet and injected weekly with an antisense oligonucleotide targeting the Ldlr for 12 weeks to induce atherosclerosis. FPLC demonstrated that both Tg(LPA +/0 ;APOB +/0 ) and Tg(APOB +/0 ) mice exhibited proatherogenic lipoprotein profiles (increased cholesterol-rich VLDL and LDL-sized particles) and developed complex lesions in the aortic sinus. However, Oil Red O-staining reveled significantly increased plaque area (+23%) in Tg(LPA +/0 ;APOB +/0 ) mice, compared to Tg(APOB +/0 ) mice. Examination of lesion pathology indicated more severe disease in Tg(LPA +/0 ;APOB +/0 ) mice, with significantly increased necrotic core size (41.8±2.8% vs. 33.4±2.7%, (p<0.05)) and calcium deposition (2.96±0.3% vs. 1.79±0.4%, (p<0.05)). Furthermore, Picrosirius Red staining showed a significant, 1.2-fold increase in collagen abundance in lesions of Tg(LPA +/0 ;APOB +/0 ) vs. Tg(APOB +/0 ) mice. Immunohistochemistry on the lesions demonstrated that in Tg(LPA +/0 ;APOB +/0 ) mice, Lp(a) colocalized with apoB100, CD68-positive macrophages and E06/oxidized phospholipid (OxPL). Compared to Tg(APOB +/0 ) mice, quantitation of the E06/OxPL-positively stained area revealed a significant increase (+39%) in Tg(LPA +/0 ;APOB +/0 ) mice. Female Tg(LPA +/0 ;APOB +/0 ) mice also had a 2-fold increase in E06/OxPL apo(a) in plasma, as well as enhanced circulating levels of the proinflammatory cytokines TNFα (1.2-fold increase) and MCP-1 (2.8-fold increase) compared to Tg(APOB +/0 ) mice. Taken together these data suggest an exacerbated pro-inflammatory phenotype in female Tg(LPA +/0 ;APOB +/0 ) mice, potentially contributing to the development of more advanced lesions. Further study of this novel mouse model will aid in the understanding of the fundamental role of elevated Lp(a) in atherogenesis.

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 score0.005
Threshold uncertainty score0.018

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.002

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 head0.038
GPT teacher head0.295
Teacher spread0.257 · 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
Published2022
Admission routes1
Has abstractyes

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