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Record W3200077784

Impacts moléculaires des nanoplastiques combinés à l’arsenic, effets comparés entre des huîtres caribéennes (Isognomon alatus) et canadiennes (Crassostrea virginica) exposées par voie trophique.

2020· article· fr· W3200077784 on OpenAlexaboutno aff
Marc Lebordais

Bibliographic record

VenueEspaceINRS Institutional Digital Repository (Institut National de la Recherche Scientifique) · 2020
Typearticle
Languagefr
FieldEnvironmental Science
TopicMicroplastics and Plastic Pollution
Canadian institutionsnot available
FundersCentre National de la Recherche ScientifiqueAgence Nationale de la Recherche
KeywordsBioaccumulationBiologyMolecular biologyChemistryEcology
DOInot available

Abstract

fetched live from OpenAlex

Compte tenu de la contamination majeure de notre environnement en plastiques, la présence des nanoplastiques (NP) inquiète. Les NP étant capables de traverser les barrières biologiques ils représentent un risque pour les organismes aquatiques. Toutefois leur toxicité est peu connue, notamment en présence d’autres contaminants. En effet, les NP peuvent adsorber des métaux et augmenter leur biodisponibilité pour des organismes filtreurs comme les bivalves. J’ai donc exposé des huîtres caribéennes (Isognomon alatus) et canadiennes (Crassostrea virginica) par voie trophique à des concentrations environnementales de NP (10 et 100 µg L⁻¹). Trois types de NP ont été utilisés pour comparer leur toxicité, seuls ou combinés à l’arsenic présent dans l’eau (1 mg L⁻¹). Les interactions des NP sur la bioaccumulation de l’arsenic ont été évaluées, ainsi que l’expression des gènes dans les branchies et masses viscérales des deux espèces. Nos résultats montrent que les traitements de NP combinés à l’arsenic ont déclenché des effets protecteurs sur le niveau d’expression des gènes chez I. alatus et des effets synergiques chez C. virginica. Cette étude environnementalement pertinente met en avant l’écotoxicité des NP en comparant leurs impacts sur une espèce d’huîtres sauvages et d’élevages. Considering plastics are major contaminations in our environment, the presence of nanoplastics (NPs) raises concern. NPs pose a risk to aquatic organisms as they could cross biological barriers. However little is known about NPs toxicity, particularly in the presence of other contaminants. Indeed, NPs can adsorb metallic contaminants and increase their bioavailability to filter-feeding organisms, such as bivalves. I therefore exposed Caribbean oysters (Isognomon alatus) and Canadian oysters (Crassostrea virginica) by trophic way to NPs at environmental concentrations (10 and 100 µg L⁻¹). Three types of NPs were used to compare their toxicity, alone or in combination with arsenic in the water (1 mg L⁻¹). Interactions of NPs on arsenic bioaccumulation were studied, along with the expression of genes in gills and visceral mass of both species. Our results show that NP treatments combined with arsenic triggered protective effects on gene expression levels in I. alatus and synergetic effects in C. virginica. This is an environmentally relevant study that showcases ecotoxicity of NPs by comparing their impacts on wild and cultured oyster species.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.992
Threshold uncertainty score0.015

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.066
GPT teacher head0.292
Teacher spread0.227 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
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
Published2020
Admission routes1
Has abstractyes

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