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A GMCSF & IL15 Fusokine Leads to Paradoxical Immunosuppression In Vivo Via Asymmetrical JAK/STAT Signalling through the IL15 Receptor Complex.

2006· article· en· W4239876213 on OpenAlexaff
Moutih Rafei, Jian Wu, Borhane Annabi, Laurence Lejeune, Moïra François, Jacques Galipeau

Bibliographic record

VenueBlood · 2006
Typearticle
Languageen
FieldImmunology and Microbiology
TopicImmune Cell Function and Interaction
Canadian institutionsUniversité du Québec à MontréalMcGill UniversityJewish General Hospital
Fundersnot available
KeywordsBiologyImmune systemImmunologyCell biologyCytokineCancer research

Abstract

fetched live from OpenAlex

Abstract Immune stimulatory cytokines can be exploited to treat human ailments including cancer. Amongst cytokines identified for such use, granulocyte-macrophage colony stimulating factor (GMCSF) has been under much scrutiny since it acts directly on the adaptive immune system by enhancing antigen presentation as well as costimulation. Furthermore, interleukin (IL)15 possesses overlapping activities with IL2 such as the activation of T-cells and the stimulation of natural killing as well as additive stimulatory effects on the immune system distinct from IL2. These features make IL15 an attractive companion to GMCSF as part of an immunotherapeutic fusokine. Therefore, we hypothesized that a GMCSF and IL15 fusion protein (GIFT15) would possess greater immune stimulatory properties than their combined use. Unexpectedly, tumor cells engineered to secrete GIFT15 protein led to enhanced tumor growth and suppression of natural killer (NK) and NKT-cell recruitment in vivo, suggesting an unheralded immune suppressive effect. We found that GIFT15 has pleiotropic effects on an array of immune competent cells. More specifically, peritoneal macrophages treatment with GIFT15 secrete de novo the tissue inhibitor of metalloproteinase-2 (TIMP-2); activated matrix metalloproteinase-2 (MMP-2); transforming growth factor-β (TGF-β) as well as vascular endothelial growth factor (VEGF). In terms of ligand-receptor interactions, we show by BIAcore analysis that the GIFT15 fusokine has increased affinity for the αchain component of the trimeric IL15R, which contributes to aberrant signalling through the β chain manifested by the hyperphosphorylation of STAT3 both in macrophages and splenocytes. In addition, GIFT15 and IL15R virtual interaction studies suggests that the GMCSF domain component of the GIFT15 fusokine may hinder the interaction of the IL15 domain component with the IL15Rγ chain, and thus leading to a downregulation of the JAK3/STAT5 pathway. We also show that GIFT15 leads to suppression of common γ chain-mediated STAT5 phosphorylation and blockade of the IL15-dependent IFN-γ response in mouse splenocytes We tested the utlity of GIFT15 as an immunosuppressor directly in vivo and demonstrated that it allowed engraftment of allogeneic B16F0 and human xenograft U87MG glioma cells in immunocompetent mice in a CD4-dependent maner. Thus, GIFT15 defines a new class of fusokine which mediates pro-angiogenic and potent immunosuppressive effects via aberrant signalling by the IL15R in lymphomyeloid cells. We propose that GIFT15 may serve as a novel pharmaceutical for tolerance induction of somatic allo or xenografts in mammals without requirement of toxic conditioning regimens.

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 score0.006

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 head0.020
GPT teacher head0.256
Teacher spread0.236 · 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
Published2006
Admission routes1
Has abstractyes

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