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Record W2613679250 · doi:10.2527/asasann.2017.830

830 Milk fatty acids: Emerging perspectives

2017· article· en· W2613679250 on OpenAlexaff
R. Gervais, E. Baumann, M. Leduc, P.Y. Chouinard

Bibliographic record

VenueJournal of Animal Science · 2017
Typearticle
Languageen
FieldNursing
TopicFatty Acid Research and Health
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsPolyunsaturated fatty acidFood scienceRumenPopulationFatty acidChemistryBiologyBiochemistryFermentationMedicine

Abstract

fetched live from OpenAlex

Nutritional quality is an important determinant of consumer food choices due to the growing awareness of the association between diet and health. Milk fatty acid composition is a major component of the nutritive value of dairy products, in addition of being associated with both their physical and organoleptic properties. The fatty acid profile of milk can be significantly altered through feeding of cows, offering the flexibility to respond to consumer demands and public health recommendations. Strong evidence suggests that specific intermediates of ruminal biohydrogenation of PUFA inhibit the growth of different human cancer cell lines, slow the development of tumors, affect lipoprotein metabolism and immune function, and enhance lean body mass in animal models. Consequently, several studies have investigated the potential to alter distribution and concentration in milk fat of different isomers of ruminal biohydrogenation, such as conjugated dienes and trans octadecenoic acids. Also, because milk fat is a common component of the human diet, its enrichment with n-3 PUFA provides the opportunity to increase intake of these essential fatty acids by the general population. However, dietary PUFA are extensively metabolized in the rumen. Protecting fatty acids represents a major challenge in formulating feed supplements that will enhance the postruminal supply of n-3 PUFA. Feeding fatty acids as Ca salts has been proposed as a way to provide such protection. Recent work in our laboratory has demonstrated that n-3 PUFA included in large particles of Ca salts are physically protected against ruminal biohydrogenation, which increases the efficiency of their transfer from diet to milk fat. Furthermore, dairy products are the main source of branched-chain fatty acids (BCFA) in the human diet. These fatty acids are synthesized by ruminal microorganisms and are essential components of their lipid membranes. For humans, health benefits such as prevention of necrotizing enterocolitis, symptom attenuation of some neurological diseases, or anticarcinogenic properties have been associated with these bioactive molecules. A series of experiments carried out in our laboratory provided more insight into the effect of different physiological and nutritional factors on milk BCFA composition in dairy cows. These trials showed that milk fat concentrations of BCFA are affected by lactation stage as well as forage type, level of concentrate, and dietary lipid supplementation. In conclusion, milk fat contributes to human health in many important ways. Nutrition and management of dairy cows offers the possibility to adjust milk fatty acid composition as our knowledge of individual and combined health effects of numerous milk fatty acids develop.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.010
Threshold uncertainty score0.034

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0000.001
Scholarly communication0.0030.003
Open science0.0010.001
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0100.004

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 head0.049
GPT teacher head0.392
Teacher spread0.343 · 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 designNot applicable
Domainnot available
GenreReview

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

Citations1
Published2017
Admission routes1
Has abstractyes

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