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Record W2163800023 · doi:10.2174/187152806778256089

The TGF-β 1/Foxp3 Regulatory Axis in Immune Self-Tolerance: Implications for Health and Disease

2006· review· en· W2163800023 on OpenAlexafffund
Michał Pyzik, Ciriaco A. Piccirillo

Bibliographic record

VenueInflammation & Allergy - Drug Targets · 2006
Typereview
Languageen
FieldMedicine
TopicCancer Immunotherapy and Biomarkers
Canadian institutionsMcGill University
FundersCanadian Institutes of Health ResearchCanada Research ChairsMcGill University
KeywordsFOXP3Peripheral toleranceIL-2 receptorImmune toleranceImmune systemTranscription factorRegulatory T cellTransforming growth factorImmunologyPopulationBiologyDiseaseCytokineCancer researchCell biologyT cellMedicineGeneticsGeneInternal medicine

Abstract

fetched live from OpenAlex

CD4(+) regulatory T cells (T(REG)) are important contributors to the induction and maintenance of peripheral tolerance. It is now becoming evident that this heterogeneous population consists of naturally occurring and induced CD4(+) T(REG) cells that share between themselves key immunoregulatory characteristics. Their phenotype and function often relies on the expression of Foxp3 transcription factor (TF) and the presence of the immunomodulating cytokine TGF-beta1. The interdependence of TGF-beta1 and Foxp3 in the induction and maintenance of regulatory T cell networks is gradually being elucidated, shedding new light on peripheral tolerance. Thus, comprehension and delimitation of those processes predict the development of novel therapies for the treatment of infectious and autoimmune diseases, cancer and graft rejection.

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)0.001
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 score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.001
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 head0.023
GPT teacher head0.329
Teacher spread0.306 · 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

Citations9
Published2006
Admission routes2
Has abstractyes

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