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Record W1797238218 · doi:10.1139/apnm-2012-0447

Modulation of adipokines by <i>n</i>-3 polyunsaturated fatty acids and ensuing changes in skeletal muscle metabolic response and inflammation

2012· article· en· W1797238218 on OpenAlexaffvenue
Justine M. Tishinsky

Bibliographic record

VenueApplied Physiology Nutrition and Metabolism · 2012
Typearticle
Languageen
FieldMedicine
TopicAdipokines, Inflammation, and Metabolic Diseases
Canadian institutionsUniversity of Guelph
Fundersnot available
KeywordsAdiponectinAdipokineEndocrinologyInternal medicineAdipose tissuePolyunsaturated fatty acidSkeletal muscleLeptinInsulinInflammationBiologyInsulin resistanceAdiponectin receptor 1ChemistryMedicineFatty acidBiochemistry

Abstract

fetched live from OpenAlex

Adipose tissue represents an important endocrine organ that secretes a multitude of adipokines known to mediate inflammation, lipid metabolism, and insulin sensitivity in peripheral tissues, such as skeletal muscle. Specifically, adiponectin stimulates skeletal muscle fatty acid oxidation and is associated with improvements in insulin response. Long-chain n-3 polyunsaturated fatty acids (PUFA) are well known for their anti-inflammatory and insulin-sensitizing properties, and their dietary consumption is associated with a more favourable circulating adipokine profile, including increased adiponectin. However, whether n-3 PUFA can directly stimulate adiponectin secretion from human adipocytes, as well as the underlying mechanisms involved, is unknown. In contrast to n-3 PUFA, diets high in saturated fatty acids (SFA) are thought to decrease adiponectin and increase pro-inflammatory adipokines, as well as blunt skeletal muscle response to both adiponectin and insulin, possibly via activation of inflammatory pathways. The role of n-3 PUFA in mediating the communication between adipose tissue and skeletal muscle, as well as preventing SFA-induced impairments in skeletal muscle function, has yet to be examined. In this thesis, it was found that long-chain n-3 PUFA increase adiponectin secretion from human adipocytes via a peroxisome proliferator-activated receptor γ-dependent mechanism. The effects of n-3 PUFA on adiponectin secretion were additive when combined with the thiazolidinedione, rosiglitazone. Second, incorporation of n-3 PUFA into a high SFA diet prevented impairments in adiponectin response and both prevented and restored impairments in insulin response in rodent skeletal muscle. Interestingly, these findings were paralleled by prevention of SFA-induced increases in toll-like receptor 4 expression by n-3 PUFA, suggesting inflammatory changes may be involved. Finally, dietary n-3 PUFA and SFA modulated the secretion of adipose tissue-derived factors from visceral rodent adipose tissue and subsequent exposure of isolated skeletal muscle to such factors induced acute changes in inflammatory gene expression without affecting insulin sensitivity. Together, the findings in this thesis suggest that n-3 PUFA modulate adipokine secretion from adipose tissue and that adipose-derived factors mediate skeletal muscle inflammation and response to adiponectin and insulin. Ultimately, this work highlights the importance of considering n-3 PUFA as a therapeutic strategy in the prevention and treatment of obesity and related pathologies.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.003

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 integrity0.0000.001
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 head0.010
GPT teacher head0.244
Teacher spread0.234 · 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

Citations8
Published2012
Admission routes2
Has abstractyes

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