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Enregistrement W3158319663 · doi:10.1242/jeb.235366

Zebrafish can't take the heat around ‘safer’ BPAs

2021· article· en· W3158319663 sur OpenAlexaff
Brittney G. Borowiec

Notice bibliographique

RevueJournal of Experimental Biology · 2021
Typearticle
Langueen
DomaineEnvironmental Science
ThématiqueEffects and risks of endocrine disrupting chemicals
Établissements canadiensWilfrid Laurier University
Organismes subventionnairesnon disponible
Mots-clésZebrafishPollutantFish <Actinopterygii>Bisphenol ASAFERHarmBisphenolPollutionToxicologyZoologyPhysiologyBiologyEnvironmental chemistryChemistryEcologyFisheryPsychologyBiochemistryComputer science

Résumé

récupéré en direct d'OpenAlex

Pollution is, unfortunately, a permanent fixture of many environments. One particularly concerning pollutant is bisphenol A (BPA), a chemical that leaches out of plastic and can harm animals by mimicking the sex hormone oestrogen. Fortunately, BPA is being replaced increasingly in our plastics by supposedly ‘safer’ alternatives, such as bisphenol S (BPS) and bisphenol F (BPF). However, there are concerns that bisphenol pollutants can affect how animals respond to changing environments. How pollution and climate change – arguably humanity's two greatest legacies on Earth – interact remains a mystery. Nicholas Wu and Frank Seebacher from The University of Sydney, Australia, set out to understand how exposure to these common, physiology-modifying pollutants affected how fish performed when they turned up the heat.Wu and Seebacher exposed zebrafish to an environmentally relevant level of BPA (30 μg l–1), or one of its alternatives, in chilly (18oC) and warm (28oC) water. Then they checked how fast the fish could swim at both temperatures to get a sense of how the bisphenols interfered with the fish's ability to perform in changing environments. The BPA-exposed fish swam fine, but the fish exposed to the other bisphenols couldn't keep up: BPF and BPS tanked the top speed that all of the fish could attain. In short, it turned out that the ‘safer’ BPAs are not always less toxic.To investigate how BPF or BPS exposure slowed the fish down, the researchers turned their attention to two metabolic enzymes linked to performance: citrate synthase and lactate dehydrogenase. Citrate synthase exists in the mitochondria, which provide power to all tissues. Animals with more citrate synthase have more mitochondria and more metabolic power for exercise. Lactate dehydrogenase is also involved in exercise and sometimes in adaptation to warm or cold environmentsHow the bisphenols affected citrate synthase activity depended on both a fish's previous experience (if they were warm or cold when exposed to the chemicals) and the temperate at which they did their swim test, highlighting how pollution could hinder fish coping with the temperature fluctuations that occur naturally in the environment. Wu and Seebacher found that when the fish were swimming in warm (28oC) water, BPA increased their citrate synthase activity, but the enzyme was less active in the fish that had been transferred from cold to hot water. When the duo compared the effects of BPF on the enzyme, they found the opposite: higher citrate synthase activity in the fish from cold water and lower in the warm ones. In contrast, BPS reduced the enzyme's activity regardless of temperature. As the researchers had found when testing the fish's swimming abilities, BPS and BPF were just as, if not more, disruptive than the compound they were created to replace, despite their ‘less toxic’ reputation.The bisphenols also impacted lactate dehydrogenase activity, but the effect depended somewhat on temperature. BPA decreased lactate dehydrogenase activity in cold fish, but the plastic increased the enzyme's activity in the warm fish, following a similar pattern as citrate synthase. BPF and BPS exposure reduced lactate dehydrogenase activities in all cases except for the fish from and swimming in warm water after a BPF exposure, which saw an increase in lactate dehydrogenase activity instead. Just like with citrate synthase, BPS and BPF were just as, if not more, metabolically disruptive than the infamous BPA.Pollutants such as BPA and its replacements are common in many habitats and affect many physiological processes, such as metabolism, which are important for dealing with environmental challenges. Though fish exposed to bisphenols can still obtain the same top speed, they have a lot of idiosyncratic differences under the hood that limit their ability to rise to thermal challenges and beat the heat of climate change.

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)0,000
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: Expérimental (laboratoire) · Signal consensuel: Expérimental (laboratoire)
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,011
Score d'incertitude au seuil0,022

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0000,001
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,001
Bibliométrie0,0000,000
Études des sciences et des technologies0,0010,001
Communication savante0,0000,001
Science ouverte0,0010,001
Intégrité de la recherche0,0010,002
Charge utile insuffisante (le modèle a refusé de juger)0,0050,001

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 Opus0,014
Tête enseignante GPT0,337
Écart entre enseignants0,323 · 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'étudeExpérimental (laboratoire)
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

Citations1
Publié2021
Routes d'admission1
Résumé présentoui

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Même revueJournal of Experimental Biology→Même sujetEffects and risks of endocrine disrupting chemicals→Travaux en français237 207→