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Record W4413884723 · doi:10.1007/s10237-025-02000-2

Atherosclerosis increases adventitial pressure and limits solute transport via fluid-balance mechanisms

2025· article· en· W4413884723 on OpenAlexaff
Willy V. Bonneuil, Daniel Watson, Sarajo K. Mohanta, Andreas J. R. Habenicht, James E. Moore, Jennifer Frattolin

Bibliographic record

VenueBiomechanics and Modeling in Mechanobiology · 2025
Typearticle
Languageen
FieldMedicine
TopicCardiovascular Health and Disease Prevention
Canadian institutionsUniversity of British Columbia, Okanagan CampusUniversity of British Columbia
FundersBritish Heart FoundationWellcome Trust
KeywordsAdventitiaVasa vasorumInterstitial fluidLymphatic systemAnatomyMaterials scienceBiophysicsChemistryPathologyMedicineBiology

Abstract

fetched live from OpenAlex

The adventitia of blood vessels is their structural interface with surrounding tissues and may also contribute importantly to atherogenesis. Adventitial vasa vasorum and lymphatic vessels provide sources and sinks of interstitial fluid and solutes and remodel in disease. We constructed a mathematical model to investigate how soluble disease mediators, including lipoproteins and cytokines, are transported through the artery wall in healthy and atherosclerotic conditions. We derived model parameters from in vivo measurements where possible and extensively investigated the sensitivity of fluid flow and solute transport to them. Adventitial interstitial fluid pressure is predicted to increase in atherosclerosis because of a shift in transmural fluxes across vasa vasorum and lymphatics. In healthy conditions, 40-80% of the fluid gathered by lymphatics originates from vasa vasorum, and this increases to 60-90% in atherosclerosis. The increased dilution of fluid flowing from the inner layers in atherosclerosis implies that solute transport from the media to the adventitia is impaired. This implies increased concentration gradients near the external elastic lamina that may increase immune-cell retention there, and decreased gradients in the outer adventitia that may reduce immune-cell attraction from there.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.917
Threshold uncertainty score0.826

Codex and Gemma teacher scores by category

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)0.0000.000

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 head0.021
GPT teacher head0.270
Teacher spread0.249 · 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 teacher head, 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

Citations2
Published2025
Admission routes1
Has abstractyes

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