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Record W6979954090

Anti-inflammatory role of IDO and tryptophan metabolites

2016· other· en· W6979954090 on OpenAlexaff

Bibliographic record

VenuecIRcle (University of British Columbia) · 2016
Typeother
Languageen
FieldNeuroscience
TopicTryptophan and brain disorders
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsKynurenineInflammationKynurenic acidCytokineImmune systemKynurenine pathwayChemokine
DOInot available

Abstract

fetched live from OpenAlex

Inflammation is essential to the establishment of homeostasis following injury and inflammatory cell and the cytokine network associate with tissue repair. However, sometimes inflammation can cause further inflammation; it can become self-perpetuating. One of the many possibilities of prolonged secretion of cytokines and growth factor is autoimmunity and delay in wound closure. The current anti-inflammatory treatment modalities vary however their adverse effects are common. Here we asked the question of whether Kynurenine (Kyn), one of the tryptophan (Trp) metabolite, could modulate the inflammation by altering the profile of the key pro-inflammatory cytokines as well as the proliferation of immune cells. We showed that Kyn treatment significantly reduced some pro-inflammatory cytokines and chemokines such as IL-17, IL-2, CXCL-9 and CXCL-10 in ConA⁺ Kyn-treated splenocytes. To validate our findings in a wound healing model, we also showed that topical application of Kyn cream resulted in fewer infiltration of CD3⁺ T cells at wound site. Further, in this study we used kynurenic acid (KynA) instead of Kyn as KynA is the end product and safer metabolites in the kynurenine pathway. The emphasis was given in evaluating the effect of KynA on expression of IL-17/IL-23 axis which has recently been identified to be very important in the immunopathogenesis of autoimmune diseases and inflammation such as psoriasis. Our findings have shown that KynA can modulate the frequency of IL-23 and IL-17 by DCs and CD4⁺ cells. Moreover, we showed that KynA suppresses the production of IL-23 in DCs through GPCR35 activation. We then evaluated the therapeutic use of intra-lesional injection of IDO-expressing fibroblasts, as a source of Kyn and KynA production in psoriasis, which is one of the most common recurrent chronic inflammatory diseases of the skin. The findings of this work demonstrated that IDO-expressing cells significantly improved thickness, erythema, and scaling scores in skin psoriatic like condition. Moreover, IDO-expressing fibroblasts reduce infiltration of IL-17⁺ CD4⁺, IL-17⁺ γδ⁺ T cells, IL-23⁺-activated dendritic cells and granulocytes in skin psoriatic like condition. The findings presented in this thesis collectively prove the potent local immunosuppressive activity of IDO-expressing dermal fibroblast and tryptophan metabolites in skin inflammatory conditions.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.005

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 integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.006
GPT teacher head0.177
Teacher spread0.171 · 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".

Quick stats

Citations0
Published2016
Admission routes1
Has abstractyes

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