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Record W7133017927

The Role of Branched Chain Fatty Acids in Cardiometabolic Disorders Underlying Type 2 Diabetes in the PROMISE Cohort

2022· dissertation· W7133017927 on OpenAlexfundno aff
Nagam Anna Yehia

Bibliographic record

VenueTSpace · 2022
Typedissertation
Language
FieldNursing
TopicFatty Acid Research and Health
Canadian institutionsnot available
FundersCanadian Institutes of Health ResearchBanting and Best Diabetes Centre, University of TorontoDairy Farmers of Canada
KeywordsType 2 diabetesMetabolic syndromeInsulinDiabetes mellitusInsulin resistanceCohortType 2 Diabetes MellitusPathophysiology
DOInot available

Abstract

fetched live from OpenAlex

Various fatty acids are linked with risk of type 2 diabetes (T2DM), although the branched chain fatty acids (BCFA) are under-investigated. This thesis aimed to (1) systematically review the available literature on the association of BCFAs with cardiometabolic disorders; and (2) investigate the relationship of BCFAs across 4 serum fractions with dietary intake and analyze the longitudinal association between BCFAs and pathophysiological disorders underlying T2DM. Three of the 4 studies identified in our review reported significant inverse associations between circulating BCFAs/monomethyl BCFAs and insulin sensitivity. Correlations between total dairy and BCFAs showcased pool specific results. Our longitudinal analysis documented heterogenous results that were largely modest in magnitude and significance. Most notably, iso15:0 and anteiso15:0 (NEFA) were positively associated with measures of insulin sensitivity while iso14:0 and anteiso14:0 (NEFA) were inversely associated with the same measures. Our findings highlight the need for additional research on BCFAs and their role in cardiometabolic outcomes.

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)0.002
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.005
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.023
GPT teacher head0.360
Teacher spread0.337 · 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 designObservational
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
Published2022
Admission routes1
Has abstractyes

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