Genetic Aspects of Nutrition and Toxicology: Report of a Workshop
Notice bibliographique
Résumé
The health and resilience of humans and animals is, in large part, determined by the quality and quantity of the diet. This, in turn, may influence an individual's capability to deal with stress including toxic insult. In addition, there may be specific components of the diet that modulate the toxicity of specific toxicants whether the latter are ingested as food or absorbed via other routes. Many examples attest to the importance of interactions between dietary components and toxicants after absorption in the body. Such interactions occur at every level of biological organization from the molecular to the whole organism. Some may be synergistic, others antagonistic. Some may involve direct chemical reaction between the nutrient molecule and the toxicant, others may occur by indirect action at the cellular or organ levels. All examples point to the importance of considering diet when measuring the response to toxic agents whether in animals or humans. In order to foster interaction between the sciences of nutrition and toxicology, The Heinz Institute of Nutritional Sciences as sponsoring a series of workshops. The first of these was held in June, 1999 at the University of Ulster to address evolutionary aspects of nutrition--toxicology (for report see Eur. J. Nutr, 39, 49-52, 2000). In June, 2000, a second workshop was held at the University of Toronto to address genetic aspects, and this is a brief summary of the proceedings. We are beginning to understand the molecular basis of the regulation of gene expression by dietary factors and how genetic changes can affect response to toxicants. Recent advances in technology and a detailed understanding of disease etiology has led to the ability to study molecular determinants of disease risk. The workshop provided a forum for nutritionists, toxicologists, molecular biologists, epidemiologists and others to discuss common interests and to merge their efforts towards an integrated approach to nutrition--toxicology via genetics and genomics. The first session dealt with the mechanism by which nutrients such as fatty acids (Clarke), amino acids (Jefferson) and metal ions (Cousins) can regulate gene expression. In the second session, there were presentations on the effects of nutritional factors on genes of toxicological significance such as phase I and phase II enzymes of drug metabolism (Guengerich, Goodfellow and Grant) as well as on oxidative DNA damage and its repair (Collins, Weindruch). Session three dealt with gene-nutrient interactions in the development of chronic diseases such as diabetes (Hegele, Berdanier) and cancer (Kim, Ambrosone et al.). New developments such as DNA microarrays (McGlynn) and the use of transgenic and knockout models (Sehayek) were presented in the final session.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».