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Record W2311976375 · doi:10.1097/mol.0000000000000274

Trimethylamine-N-oxide

2016· review· en· W2311976375 on OpenAlexafffund
Aze Wilson, Cheynne McLean, Richard B. Kim

Bibliographic record

VenueCurrent Opinion in Lipidology · 2016
Typereview
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGut microbiota and health
Canadian institutionsWestern University
FundersCanadian Institutes of Health Research
KeywordsTrimethylamine N-oxideFarnesoid X receptorBiomarkerBile acidChemistryGut microbiomeMediatorMetabolismDiseaseBiochemistryTrimethylamineMedicineInternal medicineGut floraNuclear receptorTranscription factor

Abstract

fetched live from OpenAlex

PURPOSE OF REVIEW: This article evaluates the link between trimethylamine-N-oxide (TMAO) and bile acids and the consequent impact on the development of atherosclerosis. RECENT FINDINGS: Elevation in plasma TMAO concentrations is associated with an increased risk of cardiovascular disease in many different patient cohorts. In addition to the recently identified direct effects of TMAO on the development of atherosclerosis, other components involved in TMAO metabolism may also have an impact. Furthermore, the relationship between TMAO and bile acid regulation is emerging as a possible mediator of atherosclerosis. SUMMARY: Studies that are emerging highlight the mechanistic relationship of TMAO to the development atherosclerosis in addition to its role as disease biomarker. The interplay between TMAO and bile acid metabolism mediated through multiple factors, such as the gut microbiome, farnesoid X receptor signaling, and flavin monooxygenase 3 activity may help identify another pathway by which atherosclerosis occurs. In this review, we discuss the most recent data regarding atherosclerosis, TMAO, and bile acid metabolism.

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 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 score0.867
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.000
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 head0.114
GPT teacher head0.438
Teacher spread0.324 · 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

Citations69
Published2016
Admission routes2
Has abstractyes

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