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Record W4409542212 · doi:10.1161/cir.151.suppl_1.p3055

Abstract P3055: Longitudinal Associations of Dairy Derived Serum Fatty Acids with Early Type 2 Diabetes Mellitus Risk Phenotypes: Findings from the Prospective Metabolism and Islet cell Evaluation (PROMISE) Cohort

2025· article· en· W4409542212 on OpenAlexaff
Nagam Anna Yehia, Ji-Eun Chon, Richard P. Bazinet, Ravi Retnakaran, Stewart B. Harris, Anthony J. Hanley

Bibliographic record

VenueCirculation · 2025
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicNutrition, Genetics, and Disease
Canadian institutionsMount Sinai HospitalUniversity of Toronto
Fundersnot available
KeywordsMedicineDiabetes mellitusProspective cohort studyCohortInternal medicinePhenotypeIsletType 2 Diabetes MellitusEndocrinologyCohort studyType 2 diabetesPhysiologyBiochemistryGene

Abstract

fetched live from OpenAlex

Background: Evidence suggests that dairy-derived saturated and trans fatty acids may contribute to observed inverse associations of dairy intake with risk of metabolically associated fatty liver disease (MAFLD) and type 2 diabetes mellitus (T2DM). Longitudinal studies examining the association between circulating dairy fatty acids and phenotypes underlying these disorders are limited. This study aimed to investigate the 9-year longitudinal associations of 15:0 (pentadecanoic acid), t16:1n9 (trans palmitoleic acid), t18:1n11 (trans vaccenic acid) and c9,t11 CLA (conjugated linoleic acid) in four serum fractions with insulin sensitivity, beta cell function and alanine aminotransferase (ALT in U/L, a biomarker of liver function). Methods: In the PROMISE cohort (n=460), insulin sensitivity was assessed using Matsuda’s insulin sensitivity index (ISI) and the homeostasis model assessment of insulin sensitivity (HOMA2_S). Beta cell function was determined using the insulinogenic index divided by HOMA insulin resistance (IGI/IR) and the Insulin Secretion-Sensitivity Index-2 (ISSI-2). Serum ALT was measured at each visit. Baseline serum fatty acids (mol%) in the cholesteryl ester (CE), non-esterified fatty acid (NEFA), phospholipid (PL) and triglyceride (TG) pools were analyzed using gas chromatography flame-ionization detection. Longitudinal associations were analyzed using covariate-adjusted generalized estimating equations with P values adjusted using the Benjamini-Hochberg False Discovery Rate (FDR). Results: In the TG pool, 18:1n11t was significantly associated with logISSI-2 (β= 3.09, CI: [0.04, 6.24], p<0.05). Significant inverse associations were observed between 15:0 (CE) and logALT (β= -3.30, CI: [-5.33, -1.24], p<0.01). In the PL pool, 15:0 was positively associated with logISSI-2 (β=5.37, CI: [1.71, 9.16], p<0.01) and logIGI/IR (β=10.49, CI: [4.35, 16.99], p<0.01). After FDR adjustment, 15:0 (CE) continued to be inversely associated with logALT (p<0.05). Similarly, 15:0 (PL) was significantly associated with logISSI-2 and logIGI/IR (p<0.05). Fatty acids in the NEFA and TG pools were not significantly associated with outcomes. Conclusions: Longitudinal associations of dairy-derived serum fatty acids with liver health and beta cell function were detected across serum pools. Our findings expand the literature on the potential role of dairy-derived saturated and trans conjugate fatty acids in cardiometabolic phenotypes underlying MAFLD and T2DM.

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)0.002
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
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0010.001
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 head0.010
GPT teacher head0.242
Teacher spread0.231 · 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".

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Citations0
Published2025
Admission routes1
Has abstractyes

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