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Record W7017242398

Ácidos Graxos Trans: Alimentos e Efeitos na Saúde Trans fatty acids: foods and effects on health

2006· article· pt· W7017242398 on OpenAlexaboutno aff

Bibliographic record

VenueDOAJ (DOAJ: Directory of Open Access Journals) · 2006
Typearticle
Languagept
FieldComputer Science
TopicLogic, Reasoning, and Knowledge
Canadian institutionsnot available
Fundersnot available
KeywordsPolyunsaturated fatty acidHuman healthMilk fatMilk productionDocosahexaenoic acid
DOInot available

Abstract

fetched live from OpenAlex

Os ácidos graxos trans podem ser encontrados em alimentos obtidos a partir de animais ruminantes e em alimentos que contêm gordura vegetal parcialmente hidrogenada, como os "fast food". O consumo dos ácidos graxos trans é maior nos Estados Unidos, no Canadá e em países da Europa e menor no Japão e em países do Mediterrâneo. De forma semelhante, a incidência de doenças cardiovasculares são maiores naqueles países que apresentam um maior consumo. Os estudos demonstram que esses ácidos graxos podem contribuir para o aumento de LDL e de lipoproteína [a], além de reduzir os níveis de HDL. Ainda, os isômeros trans parecem inibir a ação de enzimas de dessaturação dos ácidos graxos essenciais (&#916;5- e &#916;6-dessaturase), inibindo a biossíntese de importantes ácidos graxos, como o ácido araquidônico e o ácido docosahexaenóico (DHA). Sobre a saúde materno-infantil, as concentrações de ácidos graxos trans ingeridos pela nutriz estão associadas às concentrações encontradas no leite materno. Além do leite, tais isômeros podem ser transferidos ao recém-nascido pela via placentária. Os estudos sugerem que os ácidos graxos trans afetariam o crescimento intra-uterino devido à inibição do metabolismo dos ácidos graxos essenciais, pelas enzimas dessaturases. A inibição dessas enzimas pode ser também um fator desencadeante de uma precoce lesão aterosclerótica. Porém, os efeitos dos ácidos graxos trans sobre a saúde ainda não são conclusivos e não existem recomendações para seu consumo. Além disso, no Brasil, os estudos para determinar o teor desses isômeros nos alimentos ainda são incipientes, o que demonstra uma grande necessidade de pesquisas nesta área.<br>Trans fatty acids can be found in foods derived from ruminant animals and foods that contain partially hydrogenated fat such as fast foods. The consumption of trans fatty acids is larger in the United States, Canada, and some European countries than in Japan and Mediterranean countries. The incidence of coronary heart diseases is higher in countries where the consumption of trans fatty is high. Studies show that trans fatty acids can contribute to increase LDL and lipoprotein [a], and to reduce the levels of HDL. In addition, trans isomeric seems to inhibit the action of desaturase enzymes of essential fatty acids (&#916;5- and &#916;6-desaturase) by holding back the biosynthesis of important fatty acids such as arachidonic acid and docosahexaenoic acid (DHA). With respect to pregnant women’s and infant’s health, concentrations of trans fatty acids ingested by the mother are associated to concentrations found in the maternal milk. Besides the milk, the trans fatty acids can be transferred to the newly born through the placenta. Studies suggest that trans fatty acids can affect intra-uterine growth due to the inhibition of the conversion of essential fatty acids by desaturase enzymes. The inhibition of DHA can also cause early atherosclerosis lesion. However, studies on the effects of trans fatty acids on health are still inconclusive and there are no current recommendations on their consumption. Additionally, in Brazil, studies to determine the composition of trans isomeric in foods are still incipient, which indicates a great need of research in this area.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Scholarly communication, Open science, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.471
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.002
Science and technology studies0.0010.000
Scholarly communication0.0040.004
Open science0.0060.001
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 head0.142
GPT teacher head0.484
Teacher spread0.342 · 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 teacher head, not a consensus.

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

Citations0
Published2006
Admission routes1
Has abstractyes

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