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Anti‐apolipoprotein A‐1 IgG in patients with myocardial infarction promotes inflammation through TLR2/CD14 complex

2012· article· en· W1603866931 on OpenAlex
Sabrina Pagano, Nathalie Satta, Dirk Werling, Victoria Offord, Philippe de Moerloose, Emmanuel Charbonney, Denis Hochstrasser, P. Roux‐Lombard, Nicolas Vuilleumier

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueJournal of Internal Medicine · 2012
Typearticle
Languageen
FieldImmunology and Microbiology
TopicAtherosclerosis and Cardiovascular Diseases
Canadian institutionsSt. Michael's Hospital
Fundersnot available
KeywordsMedicineCD14InflammationApolipoprotein BImmunologyMyocardial infarctionAntibodyTLR2Internal medicineTumor necrosis factor alphaCytokineReceptorCholesterolTLR4

Abstract

fetched live from OpenAlex

Abstract. Pagano S, Satta N, Werling D, Offord V, de Moerloose P, Charbonney E, Hochstrasser D, Roux‐Lombard P, Vuilleumier N (Geneva University Hospital and Faculty of Medicine, Geneva, Switzerland; Geneva University Hospital and Faculty of Medicine, Geneva, Switzerland; Royal Veterinary College, Hertfordshire, UK; St. Michael’s Hospital, Toronto, Canada; Geneva University Hospital and Faculty of Medicine, Geneva, Switzerland). Anti‐apolipoprotein A‐1 IgG in patients with myocardial infarction promotes inflammation through TLR2/CD14 complex. J Intern Med 2012; 272: 344–357. Objectives. Toll‐like receptor (TLR)‐mediated vascular inflammation, inducible by – amongst other factors – auto‐antibodies, is increasingly recognized as a potential mediator of cardiovascular disease. We investigated whether anti‐apolipoprotein (Apo)A‐1 IgG was associated with a pro‐inflammatory cytokine profile in myocardial infarction (MI) patients and whether anti‐ApoA‐1 IgG elicited a pro‐inflammatory response by activating TLRs. Methods. As surrogate markers of atherosclerotic plaque vulnerability, interleukin (IL)‐6, tumour necrosis factor (TNF)‐α, matrix metalloproteinase (MMP)‐9 and MMP‐3 levels were assessed in 221 consecutive MI patients. Using human monocyte‐derived macrophages (HMDMs) we investigated (i) the anti‐ApoA‐1 IgG interaction with TLRs using proximity ligation assay and (ii) anti‐ApoA‐1 IgG‐dependent IL‐6/TNF‐α production. TLR involvement was further confirmed using HEK293‐Blue TLR‐2/‐4 cells and by computational docking simulations. Results. In MI patients, anti‐ApoA‐1 IgG positivity was associated with higher levels of IL‐6, TNF‐α and MMP‐9, but lower MMP‐3 levels. In in vitro experiments, anti‐ApoA‐1 antibodies bound to HDMDs in a TLR2‐dependent manner, resulting in nuclear translocation of NFκB and a significant increase in TNF‐α and IL‐6 production. Subsequent functional studies highlighted the importance of CD14 as co‐receptor in the anti‐ApoA‐1 IgG–TLR2‐induced cytokine production. Additional bioinformatic studies identified structural homologies between TLR2 and ApoA‐1, which may explain the observed cross‐reactivity between antibodies against these two molecules. Conclusions. Anti‐ApoA‐1 IgG positivity in MI is associated with a high‐risk cytokine profile. These auto‐antibodies promote inflammation by stimulating the TLR2/CD14 receptor complex, probably because of molecular mimicry, which may contribute to atherosclerosis‐related complications in patients.

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.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.060
Threshold uncertainty score0.375

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 head0.013
GPT teacher head0.238
Teacher spread0.224 · 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