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Record W3017284261 · doi:10.1002/eji.201948392

Suppressive mechanisms by <i>Heligmosomoides polygyrus</i> ‐induced Tregs in C57BL/6 mice change over time and differ to that of naïve mice

2020· article· en· W3017284261 on OpenAlexafffund
Joel Bowron, Anupama Ariyaratne, Mayara de Cássia Luzzi, Edina K. Szabo, Constance A. M. Finney

Bibliographic record

VenueEuropean Journal of Immunology · 2020
Typearticle
Languageen
FieldImmunology and Microbiology
TopicParasites and Host Interactions
Canadian institutionsUniversity of Calgary
FundersNatural Sciences and Engineering Research Council of CanadaMitacsCanada Foundation for Innovation
KeywordsHeligmosomoides polygyrusBiologyImmune systemImmunologyFOXP3IL-2 receptorMesenteric lymph nodesIn vivoImmune toleranceT cell

Abstract

fetched live from OpenAlex

Abstract Disrupting or harnessing immune suppression is leading to new therapeutic avenues in a number of immune‐related diseases. Understanding the suppressive functions of regulatory T cells (Tregs) in different environments is therefore key. Parasitic worms are strong inducers of Tregs and previous research has suggested that parasite‐induced Tregs are stronger suppressors than naïve Tregs. In strains susceptible to the intestinal worm Heligmosomoides polygyrus , like C57BL/6 mice, it has been hypothesized that increased Treg suppression downregulates both Th1 and Th2 responses, leading to chronic infections and high worm burden. Here, we show that the suppressive capacity of Tregs is no different between cells from infected and/or naive animals. In vitro suppression induced by CD4 + CD25 + Tregs (Peyers’ Patches or the mesenteric lymph nodes), isolated early (day 7, tissue dwelling phase) or late (day 21, luminal phase) during infection was similar to that induced by cells from naïve animals. Suppression was CTLA‐4 dependent in Tregs from acute but not chronic infection or in Tregs from naïve animals. This highlights the versatility of Tregs and the importance of extensive Treg characterization prior to potential in vivo manipulation of this cell type.

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 score0.065
Threshold uncertainty score0.769

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.022
GPT teacher head0.244
Teacher spread0.222 · 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

Citations4
Published2020
Admission routes2
Has abstractyes

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