MétaCan
Menu
Back to cohort
Record W4410069008 · doi:10.1101/2025.05.02.651357

Postoperative Stress Accelerates Atherosclerosis through Inflammatory Remodeling of the HDL Proteome and Impaired Reverse Cholesterol Transport

2025· preprint· en· W4410069008 on OpenAlexaff
Dominique Boucher, Valérie Rochon, Thomas Laval, Victoria Lorant, Abigail Carter, Christina Emerton, Nathan Joyce, Nysa Vinayak, Marlena Scaffidi, Rebecca C. Auer, Scott M. Gordon, Mireille Ouimet

Bibliographic record

VenuebioRxiv (Cold Spring Harbor Laboratory) · 2025
Typepreprint
Languageen
FieldMedicine
TopicCholesterol and Lipid Metabolism
Canadian institutionsOttawa HospitalUniversity of Ottawa
Fundersnot available
KeywordsReverse cholesterol transportCholesterolInflammationProteomeInternal medicineCardiologyMedicineChemistryBiochemistryLipoprotein

Abstract

fetched live from OpenAlex

BACKGROUND Over 10 million patients undergoing non-cardiac surgery annually experience major cardiovascular complications within 30 days, many due to destabilized atherosclerotic plaques. Reverse cholesterol transport (RCT), a key pathway for cholesterol removal by HDL and apoA-I, is critical in preventing plaque progression. While surgery-induced inflammation is known to impair HDL function, its effects on RCT and plaque stability remain unclear. METHODS To isolate the impact of surgical inflammation, independent of blood loss, we developed an abdominal laparotomy model in apoE -/- mice on a Western diet, minimizing blood loss and avoiding perioperative blood sampling. We assessed plasma cholesterol efflux capacity, performed proteomic analysis of HDL, and analyzed atherosclerotic plaques for lipid content, perilipin-2 (PLIN2), cleaved-caspase-3 (c-Casp-3), and necrotic core expansion. A novel dual-label, dual-cell-type in vivo RCT model was developed to compare RCT from macrophage-derived (BMDMs) and vascular smooth muscle cells (VSMCs)-derived foam cells. Recombinant apoA-I (rApoA-I) was tested for therapeutic rescue of impaired RCT. RESULTS Surgery significantly reduced RCT for at least 48 hours, paralleled by a drop in cholesterol efflux capacity and inflammatory remodeling of HDL, marked by elevated serum amyloid A (SAA1/2) and reduced apoA-I. Plaques showed a 1.6-fold increase in intracellular lipids and PLIN2 expression at 24 hours post-surgery, with elevated c-Casp-3 indicating lipid-driven apoptosis. Foam cell analysis revealed increased PLIN2 in both CD45 + (leukocyte) and CD45 - (non-leukocyte) subtypes, with leukocyte foam cells expressing higher PLIN2. c-Casp-3 + apoptotic cells were predominantly PLIN2 high and of both leukocytic and non-leukocytic origin. By day 15, the necrotic core area increased by 1.5-fold with sustained loss of plaque cellularity. Using our dual-cell-type RCT model, we found that surgery significantly impaired BMDM RCT in vivo , while VSMC RCT remained largely unaffected, highlighting foam cell subtype-specific vulnerability to surgical inflammation. These findings were mirrored in general surgery patients, whose postoperative plasma exhibited markedly reduced cholesterol efflux capacity. In mice, rApoA-I treatment partially restored RCT and reduced plaque lipid accumulation. CONCLUSIONS Surgical inflammation acutely impairs HDL function and RCT, triggering lipid accumulation, foam cell apoptosis, and accelerated plaque destabilization independent of blood loss. Immediate restoration of apoA-I at the time of surgery, aiming to counteract the acute phase response, may offer a targeted strategy to reduce postoperative cardiovascular risk.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.019
GPT teacher head0.233
Teacher spread0.214 · 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

Citations0
Published2025
Admission routes1
Has abstractyes

Explore more

Same venuebioRxiv (Cold Spring Harbor Laboratory)Same topicCholesterol and Lipid MetabolismFrench-language works237,207