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Record W4318183021 · doi:10.1101/2023.01.26.525718

The pharmacopeia of helminth-derived metabolites driving tolerance in dendritic cells

2023· preprint· en· W4318183021 on OpenAlexafffund
Aubrey N. Michi, Nathalia L. Malacco, E A Siciliani, Ana G. Madrigal, Tamara Sternlieb, Ghislaine Fontès, Irah L. King, Igor Cestari, Armando Jardim, Mary M. Stevenson, Fernando Lopes

Bibliographic record

VenuebioRxiv (Cold Spring Harbor Laboratory) · 2023
Typepreprint
Languageen
FieldImmunology and Microbiology
TopicParasites and Host Interactions
Canadian institutionsMcGill University
FundersCanadian Institutes of Health ResearchNatural Sciences and Engineering Research Council of CanadaMcGill University
KeywordsImmunologyImmune systemInflammationColitisHelminthsEffectorImmune toleranceMedicineUlcerative colitisBiologyDiseaseInternal medicine

Abstract

fetched live from OpenAlex

ABSTRACT Helminth infections can restore immune tolerance and suppress intestinal inflammation, yet the molecular mediators underlying these effects are poorly defined. Here, we show that nonpolar metabolites derived from the helminth Heligmosomoides polygyrus bakeri (HnpM) program dendritic cells (DCs) toward a tolerogenic DC (tolDC) phenotype. Adoptive transfer of HnpM-treated DCs significantly ameliorated DSS-induced intestinal inflammation in mice. Transcriptomic and metabolomic profiling revealed that HnpM induces early metabolic reprogramming followed by gene expression signatures characteristic of tolerogenic DCs that are shared by established tolDC-inducing agents. Together, these findings identify that helminth-derived metabolites are a novel source of small molecule therapeutics to restore immune tolerance in immune-mediated disorders. Summary Sentence Metabolites produced by Heligmosomoides polygyrus induce metabolic and transcriptional changes in DCs consistent with tolDCs, and adoptive transfer of these DCs attenuate DSS-induced intestinal 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 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)0.001
metaresearch head score (Gemma)0.000
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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.088
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.001

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 head0.017
GPT teacher head0.263
Teacher spread0.246 · 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
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

Citations1
Published2023
Admission routes2
Has abstractyes

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