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Record W4411680645 · doi:10.1016/j.aqrep.2025.102949

Metabolome analysis of Eriocheir sinensis serum under air exposure at low temperature

2025· article· en· W4411680645 on OpenAlexaff
Mengqi Ni, Shucheng Shao, Zhaoxia Cui

Bibliographic record

VenueAquaculture Reports · 2025
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMetabolomics and Mass Spectrometry Studies
Canadian institutionsMinistry of Agriculture
FundersNational Key Research and Development Program of China
KeywordsEriocheirBiologyMetabolomeAir temperatureToxicologyAnimal scienceMetabolomicsBioinformaticsAtmospheric sciences

Abstract

fetched live from OpenAlex

Air exposure is a common stressor that disrupts the physiological activities of aquatic crustaceans. Low temperature can effectively alleviate the stress caused by air exposure. The study investigates the metabolic response of Eriocheir sinensis to air exposure at low temperature using serum metabolomics. Exposure to the stress induces increase in tricarboxylic acid (TCA) cycle intermediates and phospholipids. This metabolic shift is crucial for enhancing energy production and facilitating dynamic remodeling of the cell membrane. And the enrichment of the hypoxia-inducible factor-1 (HIF-1) signaling pathway and the ATP-binding cassette (ABC) transporter pathway suggests the activation of signal transduction processes. Moreover, the enhanced activities of autophagy, efferocytosis, and the Forkhead Box (FoxO) signaling pathway reflect the reinforcement of the immune defense mechanism. These results clearly indicate that E. sinensis can correspond to the stress through multi-dimensional regulation. This study can provide theoretical basis for in-depth understanding of the environmental adaptation strategies of E. sinensis and offer valuable references for the scientific management during its cultivation and transportation.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.245
Threshold uncertainty score0.900

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.004
GPT teacher head0.236
Teacher spread0.232 · 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 teacher head, 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

Citations1
Published2025
Admission routes1
Has abstractyes

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