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Record W4411539495 · doi:10.1161/atv.45.suppl_1.tu0035

Abstract Tu0035: Lipoprotein(a) Induces a Proglycolytic and Proinflammatory Response in Coronary Artery and Aortic Valve Endothelial Cells, with Altered Metabolism and Reactive Oxygen Species Generation.

2025· article· en· W4411539495 on OpenAlexaff
Devika P. Jayawardena, David C. Carter, Zachary J. W. Easton, Daniel B. Hardy, Michael B. Boffa, Marlys L. Koschinsky

Bibliographic record

VenueArteriosclerosis Thrombosis and Vascular Biology · 2025
Typearticle
Languageen
FieldMedicine
TopicLipoproteins and Cardiovascular Health
Canadian institutionsWestern University
Fundersnot available
KeywordsProinflammatory cytokineCD36TranscriptomeGene expressionBiologyInternal medicineInflammationEndocrinologyMedicineReceptorGeneBiochemistry

Abstract

fetched live from OpenAlex

Background: High plasma lipoprotein(a) (Lp(a)) is a risk factor for cardiovascular diseases including atherosclerosis and calcific aortic valve disease. The mechanisms by which Lp(a) acts remain to be clarified, however. Lp(a) elicits a proinflammatory phenotype in endothelial cells (ECs), with accompanying changes in metabolism towards glycolytic pathways. To further explore these mechanisms, and to compare the response of human coronary artery ECs (HCAEC) and human aortic valve ECs (HAVEC), we exposed these cells to purified Lp(a) in vitro and undertook transcriptomic and metabolic analyses. We hypothesize that Lp(a) induces a proinflammatory and oxidative stress response in ECs. Methods: Primary ECs were stimulated with 250 nmol/L Lp(a) or vehicle control for 2, 4, 8, and 16 hours (HCAEC) or 4, 8, and 16 hours (HAVEC). RNA was isolated, and global gene expression changes were examined by RNA-Seq (n=1). qRT-PCR was performed to validate Lp(a) effects on expression of selected genes. Additionally, the effect of Toll-like receptor (TLR) 2 and 4 and CD36 inhibition on Lp(a)-induced gene expression changes was assessed (n=3). Mitochondrial activity was measured by Seahorse assay, and ROS generation was quantified using commercially available assays. Results: RNA-seq analysis identified significant changes in HCAEC and HAVEC gene expression after Lp(a) treatment, with 1915 and 444 genes, respectively, identified as differentially expressed at 16 hours. KEGG pathway analysis showed significant (FDR < 0.05) enrichment in metabolic and proinflammatory signaling pathways, with distinct yet overlapping patterns in HCAEC and HAVEC. Interestingly, the most upregulated gene in both cell types was that encoding the stress response protein heme oxygenase-1 (HMOX-1), which was maximally induced by 50-fold in HCAEC and 7.5-fold in HAVEC. Moreover, Lp(a) increased mitochondrial activity, with a shift towards higher glycolysis, ROS generation, and ER stress in HCAEC. Lp(a)-induced expression of interleukin ( IL)1a and selectin ( SELE ), but not HMOX1 , was significantly (p<0.05) reduced with the inhibition of TLR2 and 4. Conclusions: The relationship between Lp(a) and HMOX-1, ROS and metabolic stress, as well as TLR-induced proinflammatory pathways, illuminates the mechanisms by which Lp(a) induces endothelial dysfunction in cardiovascular disease, creating pathways for the development of new disease prevention and management strategies.

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 score0.015

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 integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.001

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 head0.026
GPT teacher head0.262
Teacher spread0.236 · 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
Published2025
Admission routes1
Has abstractyes

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