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Enregistrement W2565447503

Predicting the Relative Sensitivity of Sturgeons to Aryl Hydrocarbon Receptor Agonists

2016· dissertation· en· W2565447503 sur OpenAlexfundno aff
Jonathon A Doering

Notice bibliographique

RevueUniversity Library - University of Saskatchewan (University of Saskatchewan) · 2016
Typedissertation
Langueen
DomaineAgricultural and Biological Sciences
ThématiquePharmacological Effects and Assays
Établissements canadiensnon disponible
Organismes subventionnairesNatural Sciences and Engineering Research Council of Canada
Mots-clésAryl hydrocarbon receptorSensitivity (control systems)ArylChemistryHydrocarbonOrganic chemistryBiochemistryEngineeringAlkylGene
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

Along with overexploitation and habitat loss, pollution is one cause for decreases in populations of fishes. One class of pollutants of particular global environmental concern to fishes are dioxin-like compounds (DLCs). DLCs elicit their toxicity through activation of the aryl hydrocarbon receptor (AHR). Despite this common mechanism of all DLCs, dramatic differences in sensitivity exist among fishes. Sturgeons (Acipenseridae) are an ancient family of fishes in which most species are endangered. It is hypothesized that pollutants, including DLCs, might be contributing to the observed declines in populations because sturgeons have a unique life-style that makes them susceptible to exposure to bioaccumulative chemicals. However, determining sensitivities of sturgeons to DLCs through traditional in vivo toxicity testing is not feasible for practical and ethical reasons. Therefore, the aim of this research was to develop a mechanism-based biological model capable of predicting the relative sensitivity of sturgeons to DLCs. This mechanism-based biological model was developed through investigations into the AHR and AHR-mediated molecular and biochemical responses of white sturgeon (Acipenser transmontanus) relative to teleost fishes and another species of sturgeon. White sturgeon responded to activation of the AHR in a manner that is consistent with responses of teleost fishes (induction of cytochrome P450 1A). Two AHRs with similar levels of expression were identified in white sturgeon, an AHR1 that resembles AHR1s of tetrapods and an AHR2 that resembles AHR2s of other fishes. Both AHR1 and AHR2 of white sturgeon were activated by exposure to five selected DLCs in vitro with effect concentrations less than any other AHR tested to date. These findings were suggestive that white sturgeon might be among the most sensitive species of fish to exposure to DLCs. These findings raised the question as to whether other members of the Acipenseridae are similarly sensitive to exposure to DLCs. Therefore, AHR1 and AHR2 were identified in a second species of sturgeon, the lake sturgeon (Acipenser fulvescens). AHR1 of lake sturgeon had the same in vitro sensitivity to activation by the five selected DLCs as AHR1 of white sturgeon, while AHR2 of lake sturgeon was 10-fold less sensitive to activation by the five selected DLCs relative to AHR2 of white sturgeon. AHR2 has been demonstrated to drive adverse effects of DLCs in other fishes, while AHR1 has no known role in mediating toxicities in fishes. Therefore, it was hypothesized that white sturgeon are 10-fold more sensitive to DLCs relative to lake sturgeon in vivo. However, there were uncertainties in whether differences in activation of the AHR are representative of differences at higher levels of biological organization. Therefore, whole transcriptome and whole proteome responses were investigated following exposure to equipotent concentrations of three agonists of the AHR. Equal activation of the AHR of white sturgeon resulted in similar global responses and magnitude of responses across levels of biological organization. This supports the hypothesis that activation of the AHR is predictive of apical level adverse effects of regulatory relevance, such as mortality of embryos. In order to test this hypothesis, AHR1s and AHR2s from seven species of fish of known sensitivity were investigated and the relationship between in vitro and in vivo sensitivities were characterized for the model DLC, 2,3,7,8-TCDD. All AHR1s and AHR2s were activated in vitro by 2,3,7,8-TCDD. There was no significant linear relationship between in vitro sensitivity of AHR1 and in vivo sensitivity among the seven species. However, there was a highly significant linear relationship between in vitro sensitivity of the AHR2 and in vivo sensitivity. The equation of this relationship enables the prediction of the in vivo sensitivity of any species of fish based on in vitro sensitivity of the AHR2. This predictive model could be essential in guiding more objective risk assessments of DLCs to fishes, including endangered species such as sturgeons.

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)0,001
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,003
Score d'incertitude au seuil0,006

Scores du classifieur distillé par catégorie (deux têtes)

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

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 Opus0,007
Tête enseignante GPT0,175
Écart entre enseignants0,168 · 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'étudeObservationnel
Domainenon disponible
GenreEmpirique

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

En bref

Citations0
Publié2016
Routes d'admission1
Résumé présentoui

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