MétaCan
Menu
Back to cohort

The Proteasome, Active within Apoptotic Exosome-like Vesicles Triggers γδT-17 Activation, Tertiary Lymphoid Structure Formation and Accelerate Rejection

2018· article· en· W2884024299 on OpenAlexaffabout
Mélanie Dieudé, Julie Turgeon, Annie Karakeussian Rimbaud, Alexa C. Robitaille, Louis Gaboury, Shijie Qi, Natalie Patey, Nathalie Grandvaux, Éric Boilard, Marie‐Josée Hébert

Bibliographic record

VenueTransplantation · 2018
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicExtracellular vesicles in disease
Canadian institutionsCentre Hospitalier Universitaire Sainte-JustineUniversité LavalUniversité de MontréalCentre hospitalier de l'Université LavalCanadian Blood ServicesInstitute for Research in Immunology and CancerCentre Hospitalier de l’Université de Montréal
Fundersnot available
KeywordsExosomeVimentinFibronectinImmunologyChemistryCytokineTumor necrosis factor alphaBiologyMicrovesiclesCell biologyImmunohistochemistrymicroRNAExtracellular matrix

Abstract

fetched live from OpenAlex

Ischemia-reperfusion injury (IRI) is a major risk factor of progressive organ failure in solid organ transplant recipients. Our group recently identified exosome-like membrane vesicles (apoExo) released during IRI by apoptotic endothelial cells (apoEC) as an important trigger for the production of anti-perlecan/LG3 antibodies and acceleration of rejection. Here we aim to characterize the key molecular components controlling the autoimmune and inflammatory responses triggered by ApoExo. Naïve WT and aortic allografted WT and γδTcells KO mice were injected every other day with purified ApoExo, bortezomib treated ApoExo, Apoptotic bodies or vehicle until sacrifice at 3 weeks. Serum cytokine 36plex assay was performed at sacrifice. Graft histology was evaluated by immunohistochemistry. In all models, various autoantibodies productions were monitored by ELISA. In naive mice, injection of ApoExo (but not of ApoBodies) triggered an increase in circulating levels of IL-23, IL-17, CXCL-1 and TNF-alpha (p<0.01), hallmarks of the IL-23/IL-17 autoimmune axis. Strong anti-LG3 IgG (p<0.001) and ANA responses (p<0.001) were also noted while anti-vimentin, anti-AT1R and anti-fibronectin levels were not affected by ApoExo injection. Similarly, the injection of ApoExo (but not of ApoBodies) to allografted WT mice did not affect anti-vimentin, anti-AT1R and anti-fibronectin levels but increased anti-LG3 (p<0.01) and ANA (p<0.005) levels and heightened vascular remodelling (p<0.01). IL-17 rich lymphoid-like structures (TLS) formation was observed within vascular allografts in apoExo injected WT recipient but not in γδT-KO recipient or in WT recipient injected with Bortezo treated apoExo, showing that the proteasome, active within apoExo triggers γδT-17 dependent TLS formation. In conclusion, these results identify IRI derived apoExo as inducers of γδT-17 dependent autoimmune pathways leading to the formation of TLS and accelerated rejection. These results provide novel insights into the cellular and molecular pathways regulating autoimmune responses in association with chronic vascular injury. Canadian Institutes of Health Research (CIHR). Shire Chair in Nephrology, Transplantation and Renal Regeneration of the Université de Montréal. J.-L. Lévesque Foundation. Fonds de Recherche du Québec - Santé (FRQS).

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 score0.001
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 head0.007
GPT teacher head0.229
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 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
Published2018
Admission routes2
Has abstractyes

Explore more

Same venueTransplantationSame topicExtracellular vesicles in diseaseFrench-language works237,207