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Record W2106238465 · doi:10.2174/187152811796117771

Lipoprotein-Associated Phospholipase A2: How Effective as a Risk Marker of Cardiovascular Disease and as a Therapeutic Target?

2011· review· en· W2106238465 on OpenAlexaff
Mohamed Ahmed, Jing Ji, Qing H. Meng

Bibliographic record

VenueInflammation & Allergy - Drug Targets · 2011
Typereview
Languageen
FieldMedicine
TopicLipoproteins and Cardiovascular Health
Canadian institutionsUniversity of SaskatchewanRoyal University Hospital
Fundersnot available
KeywordsLipoprotein-associated phospholipase A2BiomarkerLipoproteinPhospholipase A2MedicineVery low-density lipoproteinDiseaseLipoprotein(a)InflammationProinflammatory cytokineInternal medicineImmunologyBiologyEnzymeCholesterolBiochemistry

Abstract

fetched live from OpenAlex

Lipoprotein-associated phospholipase A2 (Lp-PLA2) has been studied extensively in terms of biology, pathophysiology, diagnostic and prognostic values. Lp-PLA2 is an enzyme produced in atherosclerotic plaque by inflammatory cells, linked to LDL, HDL and VLDL. The binding of Lp-PLA2 to a specific lipoprotein fraction renders it more atherogenic. Increasing evidence has demonstrated Lp-PLA2 as a novel "ideal" marker for CVD as of its high specificity for vascular inflammation and low biologic variability. Thus, determination of Lp-PLA2 in individuals may provide clinically relevant information about their future risk of CVD events. In addition, Lp-PLA2 has been considered as a therapeutic target, which has been acted upon indirectly (lipid lowering medications) and directly (Lp-PLA2 antagonists such as darapladib) in pharmacologic therapies. This review will provide an overview on biochemistry, biology, proatherogenic, proinflammatory and proapoptotic effects of Lp-PLA2. Clinical utility and its validity as an independent CVD biomarker as well as a diagnostic biomarker to be detected in the very early stages of atherosclerosis will be also discussed. Moreover, the role of Lp-PLA2 as a pharmacologic therapeutic target is another theme of this review.

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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.974
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0040.004
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.014
GPT teacher head0.255
Teacher spread0.241 · 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.

Study designNot applicable
Domainnot available
GenreReview

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

Citations5
Published2011
Admission routes1
Has abstractyes

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