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Record W124987682

Norepinephrine and octopamine: linking stress and immune function across phyla

2008· article· en· W124987682 on OpenAlexaff
Shelley A. Adamo

Bibliographic record

VenueDOAJ (DOAJ: Directory of Open Access Journals) · 2008
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicInsect Utilization and Effects
Canadian institutionsDalhousie University
Fundersnot available
KeywordsOctopamine (neurotransmitter)PhylumImmune systemNorepinephrineBiologyImmunosuppressionFunction (biology)DiseaseImmunologyZoologyNeuroscienceDopamineInternal medicineMedicineCell biologyBacteriaReceptorBiochemistrySerotonin
DOInot available

Abstract

fetched live from OpenAlex

In species from three widely divergent phyla (Arthropoda, Mollusca and Chordata) tyrosine derivatives (norepinephrine or octopamine) mediate a response to acute stress. Part of this response is a change in immune function that results in a decrease in resistance to pathogens. This decrease in disease resistance appears maladaptive. However, if the connections between norepinephrine/octopamine and immune function were maladaptive, they should have been selected against. None of the four commonly proposed adaptive explanations for acute stress-induced changes in immune function fit the available data for species from all three phyla. However, this result is probably due to the lack of information about acute stress-induced immunosuppression in invertebrates and a lack of ecologically valid studies in vertebrates. Understanding why immune function and disease resistance changes during acute stress will require greater comparative study.

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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
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 head0.174
GPT teacher head0.469
Teacher spread0.295 · 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

Citations72
Published2008
Admission routes1
Has abstractyes

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