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Record W2468068382 · doi:10.1002/ejlt.201600162

Comparing the lipogenic and cholesterolgenic effects of individual <i>trans</i>‐18:1 isomers in liver cells

2016· article· en· W2468068382 on OpenAlexaff
Payam Vahmani, William Jon Meadus, Pascale Duff, D. C. Rolland, M. E. R. Dugan

Bibliographic record

VenueEuropean Journal of Lipid Science and Technology · 2016
Typearticle
Languageen
FieldMedicine
TopicCholesterol and Lipid Metabolism
Canadian institutionsAgriculture and Agri-Food Canada
Fundersnot available
KeywordsBovine serum albuminFatty acidChemistryInternal medicineMolecular biologyEndocrinologyBiologyBiochemistryMedicine

Abstract

fetched live from OpenAlex

The present study compared the lipogenic/cholesterolgenic effects of t6‐, t9‐ (positive control), t10‐, t11‐, t13‐, t14‐, t15‐18:1, cis(c)9‐18:1 (cis control) or bovine serum albumin (BSA; negative control) in liver cells (HepG2). Fatty acids (100 μM) were complexed to BSA, and cells were incubated for 24 h. Two wells of cells were cultured per treatment per experiment, and the experiment was repeated three times (n = 6). The fatty acid treatments had no effect on cell viability compared to BSA. The content of triacylglycerol (TG) and cholesteryl esters (CE) were increased (P < 0.05) when culturing with t6‐, t9‐, and t10‐18:1 compared to BSA control, but were not affected (P > 0.05) by other fatty acid treatments. Consistent with the effects on TG and CE, culturing cells with t6‐, t9‐, or t10‐18:1 upregulated expression of several genes involved in fatty acid and cholesterol synthesis, and effects were most consistent for t6‐18:1. Esterification of t18:1 isomers into TG was 1.7‐fold greater when cells were cultured with t6‐, t9‐, and t10‐18:1 compared to t11‐, t13‐, t14‐, and t15‐18:1. The results from the present study indicate t6‐, t9‐, and t10‐18:1 induce lipogenic/cholesterolgenic gene expression resulting in increased cellular content of TG and CE, while t11‐, t13‐, t14‐, and t15‐18:1 responded similarly to c9‐18:1 and control treatments. Practical application: Trans fatty acids have been associated with cardiovascular disease mainly through adverse effects on blood lipoprotein profiles. Several t18:1 isomers are found in foods, but studies on individual isomers have been mostly limited to t9‐ and t11‐18:1. The isomer specific effects of other t18:1 isomers have been limited because of their lack of commercial availability. To investigate the effects of individual t18:1 isomers, we isolated and purified several isomers from beef fat using silver‐ion chromatography techniques. We examined the effects of seven t18:1 isomers in liver cells on cellular triacylglycerol and cholesterol content, fatty acid composition, and expression of key genes involved in fatty acid and cholesterol syntheses. Our results indicate that the major t18:1 isomers found in partially hydrogenated vegetable oils, and ruminant fats when feeding grain based diets (i.e., t6‐ to t10‐18:1) have more potent lipogenic/cholesterolgenic effects compared to isomers enriched in ruminant fats when feeding forage based diets (i.e., t11‐ to t15‐18:1). The major trans(t)18:1 isomers found in partially hydrogenated vegetable oils, and ruminant fats when feeding grain based diets (i.e., t6‐ to t10‐18:1) induced lipogenic/cholesterolgenic gene expression in liver cells resulting in increased cellular content of triacylglycerol and cholesteryl esters. In contrast, t‐18:1 isomers enriched in ruminant fats when feeding forage based diets (i.e., t11‐ to t15‐18:1) responded similarly to cis9‐18:1 and control treatments.

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)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

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)0.0010.000

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 head0.016
GPT teacher head0.229
Teacher spread0.213 · 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 designBench or experimental
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

Citations27
Published2016
Admission routes1
Has abstractyes

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Same venueEuropean Journal of Lipid Science and TechnologySame topicCholesterol and Lipid MetabolismFrench-language works237,207