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Enregistrement W2028531847 · doi:10.1097/00005176-200504001-00023

Gene-Environment Interactions in the Etiopathogenesis of Inflammatory Bowel Disease

2005· review· en· W2028531847 sur OpenAlexaff
Devendra Amre

Notice bibliographique

RevueJournal of Pediatric Gastroenterology and Nutrition · 2005
Typereview
Langueen
DomaineBiochemistry, Genetics and Molecular Biology
ThématiqueInflammatory Bowel Disease
Établissements canadiensUniversité de Montréal
Organismes subventionnairesnon disponible
Mots-clésDiseaseInflammatory bowel diseaseMedicineInflammatory Bowel DiseasesBioinformaticsGeneticsBiologyPathology

Résumé

récupéré en direct d'OpenAlex

The etiopathogenesis of inflammatory bowel diseases (IBD) is unknown. The last few years have seen a tremendous growth in efforts to identify causes, mechanisms and potential cure for the disease. Although few successes have been achieved, major elements in the intricate pathways leading to the disease remain unclear and deciphering them presents numerous challenges. A major hurdle (and interest) has been the observed widespread heterogeneity in the risk (and risk factors) for IBD among geographically diverse populations. Both environmental and genetic factors contribute to this heterogeneity. Much of the present focus has been on delineating the genetic susceptibility for IBD with limited emphasis on potential environmental risk factors. Previous studies exploring environmental risk factors have been inconsistent with the spectrum of risk going from low to high. This is especially true for the two most commonly studied risk factors: dietary elements and infection exposures. Although some of the inconsistency in findings across studies is likely due to differences in study designs, analytic methods and degree of biases, we have hypothesized that the heterogeneity is likely due to the presence of gene-environment interactions (G x E). On the basis of the latter, we have put forward two potential interaction pathways elucidating the mechanisms leading to IBD. The first pathway (1) describes interactions between dietary substrates (fats, vegetables and fruits) and xenobiotic metabolizing enzymes (XME). XMEs are a family of enzymes that are commonly involved in the metabolism of both exogenous and endogenous substrates. They are broadly divided into two major classes: Phase 1 enzymes, such as the cytochrome P-450, metabolism by which on most occasions leads to the formation of toxic intermediates, and Phase 2 enzymes such as the gluthatione S-transferases, metabolism by which leads to detoxification and excretion of toxic intermediates. Genes coding these enzymes show variation resulting in individual differences both in the activity as well as the level of the enzymes. Our interaction pathway is based on the observations that a) many XMEs are expressed in the gastrointestinal tract; b) the encoding genes are located in chromosomal areas previously linked to IBD; and c) dietary fatty acids are common substrates for these enzymes and dietary fruits and vegetables modify their levels. Considering that genetic variants determine the ability of individuals to metabolize dietary substrates, it has been postulated that interactions between dietary substrates and DNA variants in the XME genes would modify risk for IBD, making some individuals at lower or higher risk. The second pathway (2) emphasizes the role of G x E between infections and genetic variants related to the cytokine and NOD2 genes. The role of infections in the etiopathogenesis of especially Crohn's disease (CD) has been controversial with some studies indicating protection, whereas others suggest elevated risks. These differences among populations are probably due to differential distribution of genetic factors. In this pathway we have hypothesized that potential interactions between DNA variants in cytokine and NOD2 genes and infectious exposures could modify risk for CD. Cyokines are known to modulate response to infections. Similarly, the NOD2 protein is thought to play a significant role in the pathogenesis of CD. Potential interactions between these elements could influence the development of T-cells and alter T-cell balance and predispose certain individuals to disease. IBD is a complex disease and the above described interaction pathways are unlikely to be all-encompassing. Nevertheless, they highlight the need for undertaking studies of potential G x E for theidentification of populations most susceptible to IBD.

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 machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,002
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: aucune
GenreSignal candidat: Synthèse · Signal consensuel: aucune
Score de désaccord entre enseignants0,002
Score d'incertitude au seuil0,006

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0010,002
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0010,001
Études des sciences et des technologies0,0000,001
Communication savante0,0010,001
Science ouverte0,0000,001
Intégrité de la recherche0,0010,001
Charge utile insuffisante (le modèle a refusé de juger)0,0020,000

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.

Tête enseignante Opus0,013
Tête enseignante GPT0,264
Écart entre enseignants0,252 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeSans objet
Domainenon disponible
GenreSynthèse

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations7
Publié2005
Routes d'admission1
Résumé présentoui

Explorer davantage

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