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Record W7047207831

Évaluation des effets combinés du manganèse et d’un stress thermique sur les capacités métaboliques de l’omble chevalier (Salvelinus alpinus).

2023· other· fr· W7047207831 on OpenAlexaboutno aff

Bibliographic record

VenueEspaceINRS Institutional Digital Repository (Institut National de la Recherche Scientifique) · 2023
Typeother
Languagefr
FieldPhysics and Astronomy
TopicMagnetic confinement fusion research
Canadian institutionsnot available
Fundersnot available
KeywordsEnvironmental factorHeat stressAquatic environmentCultural environment
DOInot available

Abstract

fetched live from OpenAlex

Dans la région du Nord-du-Québec, la pollution par les rejets miniers est un problème d’intérêt environnemental auquel les organismes aquatiques doivent faire face. En plus des activités anthropiques, la variation de la température de l’eau est une autre source de stress pour les poissons. Plusieurs études s’intéressent aux effets des stress environnementaux chez les poissons. Cependant, très peu se sont intéressées aux impacts sur leur métabolisme énergétique. Cette étude a pour objectif d’évaluer les impacts d’une contamination de manganèse (Mn) et de la température sur les capacités métaboliques de l’omble chevalier (Salvelinus alpinus). Dans ce projet, des juvéniles d’omble chevalier ont été acclimatés à deux températures (7 °C et 16 °C) avec ou sans Mn (1 mg Mn/L) pour une période de huit semaines. Les concentrations de Mn ont été mesurés dans les branchies, le rein, le foie et le muscle, tandis que les activités enzymatiques de la respiration cellulaire, de la glycolyse et du métabolisme des lipides ont été mesurés dans le foie et le muscle seulement. Cette étude a démontré que la bioaccumulation du Mn dans les branchies et le rein était significativement plus élevée chez les ombles chevalier acclimatés à 7 °C comparativement à 16 °C. Le Mn a diminué les activités de la cytochrome c oxydase (CCO) et de la citrate synthase (CS) avec une augmentation de la température, tandis que l’activité de la phosphofructokinase (PFK) a augmenté dans les mêmes conditions. Ces résultats suggèrent que le Mn, en combinaison avec une température élevée, provoque une diminution de la capacité aérobie. La glycolyse aérobie a été stimulée par cette diminution, tandis que le métabolisme des lipides n’a démontré aucun ajustement métabolique. In the northern Quebec region, pollution from mining discharges is an environmental problem that aquatic organisms must face. In addition to anthropogenic activities, variations in water temperature are another source of stress for fish. Many studies have examined the effects of environmental stresses on fish. However, very few have focused on their impacts on energy metabolism. The aim of this study was to assess the impact of manganese (Mn) contamination and temperature on the metabolic capacity of Arctic char (Salvelinus alpinus). In this project, Arctic char juveniles were acclimatized to two temperatures (7 °C and 16 °C) in the presence or absence of Mn (1 mg Mn/L) for a period of eight weeks. Mn concentrations were measured in gills, kidney, liver and muscle, while the enzymatic activities of cellular respiration, glycolysis and lipid metabolism were measured in liver and muscle only. This study showed that Mn bioaccumulation in gills and kidney was significantly higher in Arctic char acclimatized at 7 °C compared to 16 °C. Mn decreased cytochrome c oxidase (CCO) and citrate synthase (CS) activities with increasing temperature, while phosphofructokinase (PFK) activity was increased under the same conditions. These results suggest that Mn, in combination with elevated temperature, causes a decrease in aerobic capacity. Aerobic glycolysis was stimulated by this decrease, while lipid metabolism showed no metabolic adjustment.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.016
Threshold uncertainty score0.032

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
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 head0.086
GPT teacher head0.327
Teacher spread0.241 · 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 designObservational
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
Published2023
Admission routes1
Has abstractyes

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