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Neither Linoleic Acid nor Arachidonic Acid Promote White Adipose Tissue Inflammation in <i>Fads2−/−</i> Mice Fed Low Fat Diets

2017· article· en· W4389020383 on OpenAlexafffund
Katherine Suitor, G. Payne, Salma A. Abdelmagid, David M. Mutch, Manabu Nakamura, David W.L.

Bibliographic record

VenueThe FASEB Journal · 2017
Typearticle
Languageen
FieldNursing
TopicFatty Acid Research and Health
Canadian institutionsUniversity of Guelph
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsFADS2Arachidonic acidPolyunsaturated fatty acidLinoleic acidLipoxygenaseAdipose tissueChemistryEndocrinologyInternal medicineInflammationFatty acid desaturaseCorn oilEicosapentaenoic acidWhite adipose tissueFatty acidBiochemistryDocosahexaenoic acidFood scienceBiologyEnzymeMedicine

Abstract

fetched live from OpenAlex

Dietary n‐6 polyunsaturated fatty acids (PUFAs) are widely perceived to promote inflammation and contribute to the development of cardiometabolic disease. However, emerging evidence casts doubt on the relationship between n‐6 PUFAs and inflammation, and suggests that different n‐6 PUFAs may influence this relationship differently. Establishing the roles of individual n‐6 PUFAs in vivo is challenging because linoleic acid (LA, 18:2n6) is endogenously and continuously converted into arachidonic acid (AA, 20:4n6). The fatty acid desaturase 2 gene ( Fads2 ) encodes the rate‐limiting delta‐6 desaturase enzyme necessary for converting LA into AA. The goal of this study was to elucidate the independent effects of the two predominant dietary n‐6 PUFAs, LA and AA, on inflammatory signalling in white adipose tissue (WAT) using Fads2 knockout ( Fads2 −/−) mice. We hypothesized that LA would not induce WAT inflammation unless it is converted into AA. Male C57BL/6 wild‐type (WT) and Fads2 −/− mice (n=8 per diet per genotype group) were fed low‐fat isocaloric diets containing either 7% corn oil w/w (containing ~42% LA) or 7% ARASCO oil w/w (containing ~27% AA) for 9 weeks. WAT gene expression, protein levels, and triacylglycerol (TAG) fatty acid composition were analyzed by qRT‐PCR, Western blots, and gas chromatography, respectively. Fads2 −/− mice fed the corn diet had no downstream AA, and reduced GLA (18:3n6) and DGLA (20:3n6), in TAGs compared to their WT counterparts. WT and Fads2 −/− mice fed the ARASCO diet had significantly higher levels of AA, DGLA, and GLA in TAGs compared to WT mice fed the corn diet. Estimated delta‐5 desaturase enzyme activity (AA: DGLA ratio) in WAT was reduced in Fads2 −/− mice fed the corn diet compared to their WT counterparts (p<0.05), and this was reflected by a 1.6‐fold reduction in FADS1 protein content (p<0.04). No differences in gene expression for common cytokines (e.g. Mcp‐1, Ccl5, Arg1, Nos2 ) and key regulators of oxylipin production (e.g. Cox‐2, Alox12, Alox15 ) were detected between WT and Fads2 −/− mice fed either diet. WT and Fads2 −/− mice fed both corn and ARASCO diets showed no difference in total or phosphorylated STAT3 and p38 proteins. These results suggest that in an unstimulated model neither LA nor AA promote WAT inflammation when consumed as part of a low‐fat diet. Support or Funding Information This work was supported by a grant from NSERC.

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)0.001
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 score0.005
Threshold uncertainty score0.017

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.004
Insufficient payload (model declined to judge)0.0050.002

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 head0.306
Teacher spread0.283 · 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".

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Citations0
Published2017
Admission routes2
Has abstractyes

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