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Abstract 13838: Smooth Muscle Cells Are the Origin of the Majority of Foam Cells in Atherosclerotic Lesions of Apolipoprotein E-deficient Mice

2016· article· en· W2889941290 on OpenAlexaff
Ying Wang, Sima Allahverdian, Joshua A. Dubland, Enyinnaya Asonye, Michael A. Seidman, Gordon A. Francis

Bibliographic record

VenueCirculation · 2016
Typearticle
Languageen
FieldMedicine
TopicLipoproteins and Cardiovascular Health
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsMedicineSmooth muscleApolipoprotein BApolipoprotein EPathologyAnatomyInternal medicineCholesterolDisease

Abstract

fetched live from OpenAlex

Background: Apolipoprotein E-deficient (ApoE -/- ) mice are the most frequently used model of human atherosclerosis. Foam cells in mouse lesions have been believed to be primarily macrophage-derived using traditional staining with macrophage markers. Recent studies indicated that smooth muscle cells (SMCs) comprise at least 50% of foam cells in human coronary atherosclerosis, and express reduced levels of ATP-binding cassette transporter A1 (ABCA1) when compared to intimal leucocytes. Identification of SMC-derived foam cells is challenging due to the absence of classic SMC markers and expression of macrophage markers by a high percentage of intimal SMCs in mouse and human lesions. Hypothesis: Unlike human atherosclerosis, foam cells in ApoE -/- mice are primarily macrophage- rather than SMC-derived. Methods: 8-week-old male and female ApoE -/- mice were fed a Western diet for 6 weeks to promote lesion development. Flow cytometry was used to estimate the proportion of leukocyte- and SMC-derived foam cells in cell suspensions from digested ascending aortas. Foam cells were identified by the neutral lipid dye BODIPY, and leukocyte-derived were distinguished from SMC-derived foam cells by expression of CD45 (a pan-leukocyte marker), and I-A/I-E (antigen presenting cell markers), which have not been reported to be expressed by SMCs. SMC origin was confirmed using a SMC-specific epigenetic lineage marker. ABCA1 level was also measured in the two foam cell populations. Results: 69.47±3.20 % (male) and 73.33±2.35 % (female) (mean ± SEM, n=9 each) of foam cells in ApoE -/- mouse lesions were CD45 and I-A/I-E negative, and were confirmed by SMC lineage marker to be predominantly SMC-derived. SMC-derived foam cells were thus significantly greater than leukocyte-derived foam cells in ApoE -/- mice ( P <0.01), and exhibited three times lower ABCA1 protein than leukocyte-derived foam cells in both sexes. Conclusions: Contrary to our hypothesis, SMCs contribute the majority of foam cells in ApoE -/- mouse atherosclerosis. Impaired ABCA1 expression in SMC foam cells, as seen in human intimal SMC foam cells, suggests a likely mechanism for preferential SMC foam cell development in both species, and a potential target for atherosclerosis treatment and prevention.

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 score0.032
Threshold uncertainty score0.108

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0320.012

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 head0.027
GPT teacher head0.253
Teacher spread0.226 · 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
Published2016
Admission routes1
Has abstractyes

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