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Installing FVIII-Specific Tolerance in Hemophilia Via Engagement of the Aryl Hydrocarbon Receptor By Tryptophan Derivatives

2016· article· en· W2589281829 on OpenAlexaff
Davide Matino, Marco Gargaro, Giulia Scalisi, Antonella Turco, Francisco J. Quintana, Paolo Puccetti, Alfonso Iorio, Francesca Fallarino

Bibliographic record

VenueBlood · 2016
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicEpigenetics and DNA Methylation
Canadian institutionsMcMaster University
Fundersnot available
KeywordsAryl hydrocarbon receptorChemistryTryptophanImmune toleranceIn vivoReceptorTranscription factorPharmacologyImmunologyAntigenBiologyBiochemistryAmino acidGene

Abstract

fetched live from OpenAlex

Abstract Background: The development of inhibitors is the most serious complication a patient with hemophilia can experience on treatment with clotting factor concentrates. In a cohort of 100 severe hemophilia A patients, we have recently found that the inhibitor-positive status was associated with dysfunctional indoleamine 2,3-dioxygenase 1 (IDO1)1. The mechanisms whereby IDO1 promotes regulatory effects include production of tryptophan catabolites, collectively known as kynurenines. Some of those tryptophan derivatives are endogenous in nature and act as activating ligands for the Aryl hydrocarbon receptor (AhR), a transcription factor that belongs in the family of basic helix-loop-helix transcription factors2. Specifically, in dendritic cells (DCs), tryptophan-catabolite interactions with AhR promote the transcriptional induction of anti-inflammatory cytokines and the emergence of T regulatory (Treg) cells. Here, we report on the potential of tryptophan-related AhR ligands for inhibiting the formation of anti-FVIII antibodies in hemophilic (F8 KO) mice, a finding that could be important in developing novel strategies to prevent or eradicate FVIII inhibitors. Methods: Four different endogenous AhR ligands have been selected and used in these experiments. All molecules were administered in vivo to F8-deficient mice at incremental doses and by different routes (orally or intravenously), either concomitantly or after rhFVIII immunization. In specific experiments, AhR knockout mice and co-administration of AhR antagonist were used to analyze the impact of AhR deficiency. To co-deliver AhR ligands and FVIII antigens to APCs in vivo and induce antigen-specific Tregs, we administered molecules via a nanostructured delivery system3. Specifically, we engineered four types of nanoparticles (NPs), 60 nm in diameter, that were stabilized by a thiol-polyethyleneglycol (PEG) layer. Overall, we used 1) unloaded NPs, 2) NPs loaded with AhR ligands, 3) NPs loaded with rhFVIII, and 4) NPs loaded with AhR ligands and rhFVIII. Results: Administration of one of the four AhR ligands prevented the generation of anti-FVIII antibodies in nearly 80% of F8 KO mice. Similar effects were obtained with both the NPs-based approach and the oral delivery of ligands. Of note, the protective effect was negated by co-administration of the AhR antagonist CH-223191. Conclusions: Our results suggest that AhR is a possible molecular partner whereby tryptophan catabolites will control the immune response to FVIII. These findings might lead to novel interventions for preventing or eradicating inhibitors in hemophilia A patients. Bibliography: 1.Matino D., et al. IDO1 suppresses inhibitor development in hemophilia A treated with factor VIII. J Clin Invest. 2015 Oct 1;125(10):3766-81. 2. Yeste A, Nadeau M, Burns EJ, Weiner HL, Quintana FJ. Nanoparticle-mediated codelivery of myelin antigen and a tolerogenic small molecule suppresses experimental autoimmune encephalomyelitis. Proc. Natl Acad. Sci. USA 109(28), 11270-11275 (2012). 3. Bessede A, et al. Aryl hydrocarbon receptor control of a disease tolerance defence pathway.Nature. 2014;511(7508):184-190. Disclosures No relevant conflicts of interest to declare.

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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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.010
GPT teacher head0.219
Teacher spread0.209 · 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 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".

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Citations0
Published2016
Admission routes1
Has abstractyes

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