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Record W2158384308 · doi:10.4049/jimmunol.1303245

Modulation of T Cell and Innate Immune Responses by Retinoic Acid

2014· review· en· W2158384308 on OpenAlexaff
Mathilde Raverdeau, Kingston H. G. Mills

Bibliographic record

VenueThe Journal of Immunology · 2014
Typereview
Languageen
FieldImmunology and Microbiology
TopicImmune Cell Function and Interaction
Canadian institutionsTrinity College
Fundersnot available
KeywordsInnate immune systemRetinoic acidImmune modulationModulation (music)Immune systemCell biologyChemistryBiologyImmunologyPhysicsBiochemistryGene

Abstract

fetched live from OpenAlex

Retinoic acid (RA) is produced by a number of cell types, including macrophages and dendritic cells, which express retinal dehydrogenases that convert vitamin A to its main biologically active metabolite, all-trans RA. All-trans RA binds to its nuclear retinoic acid receptors that are expressed in lymphoid cells and act as transcription factors to regulate cell homing and differentiation. RA production by CD103(+) dendritic cells and alveolar macrophages functions with TGF-β to promote conversion of naive T cells into Foxp3(+) regulatory T cells and, thereby, maintain mucosal tolerance. Furthermore, RA inhibits the differentiation of naive T cells into Th17 cells. However, Th1 and Th17 responses are constrained during vitamin A deficiency and in nuclear RA receptor α-defective mice. Furthermore, RA promotes effector T cell responses during infection or autoimmune diseases. Thus, RA plays a role in immune homeostasis in the steady-state but activates pathogenic T cells in conditions of inflammation.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.004
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0040.004

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 head0.016
GPT teacher head0.268
Teacher spread0.251 · 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 designNot applicable
Domainnot available
GenreReview

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

Citations216
Published2014
Admission routes1
Has abstractyes

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