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Record W3161740897 · doi:10.1111/imm.13347

Beyond cytokines: Influences of the endocrine system on human immune homeostasis

2021· editorial· en· W3161740897 on OpenAlexaff
Simon Milling

Bibliographic record

VenueImmunology · 2021
Typeeditorial
Languageen
FieldNeuroscience
TopicStress Responses and Cortisol
Canadian institutionsInstitute of Infection and Immunity
Fundersnot available
KeywordsImmune systemHomeostasisEndocrine systemHormoneBiologyImmunologyNeuroscienceCell biologyEndocrinology

Abstract

fetched live from OpenAlex

The immune system must be tightly controlled to prevent potentially damaging over-response to pathogens and must also be actively maintained in a responsive state when no immediate threat is present. These processes of control and maintenance are important for sustaining a state of immune homeostasis and are controlled by a network of cellular and molecular interactions. Here, we highlight a recent publication in Immunology (2021) where the authors have examined the effects of the thyroid and pituitary hormones, thyrotrophin and thyroxine, on immune homeostasis in humans. This work reveals homeostatic effects of these hormones on T cells and B cells and raises the possibility that the endocrine system might be manipulated to modulate the immune response.

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)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Editorial · Consensus signal: none
Teacher disagreement score0.574
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0020.001
Research integrity0.0010.001
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 head0.020
GPT teacher head0.297
Teacher spread0.277 · 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.

Study designBench or experimental
Domainnot available
GenreEditorial

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

Citations7
Published2021
Admission routes1
Has abstractyes

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