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Record W2980830192 · doi:10.1038/s41467-019-12628-1

Targeting the mTOR pathway uncouples the efficacy and toxicity of PD-1 blockade in renal transplantation

2019· article· en· W2980830192 on OpenAlexafffund
Khashayar Esfahani, Tho-Alfakar Al-Aubodah, Paméla Thébault, Réjean Lapointe, Marie Hudson, Nathalie A. Johnson, Dana Baran, Najwa Bhulaiga, Tomoko Takano, Jean‐François Cailhier, Ciriaco A. Piccirillo, Wilson H. Miller

Bibliographic record

VenueNature Communications · 2019
Typearticle
Languageen
FieldImmunology and Microbiology
TopicImmune Cell Function and Interaction
Canadian institutionsJewish General HospitalMcGill UniversityUniversité de MontréalMcGill University Health CentreCentre for Interdisciplinary Research in Rehabilitation
FundersCanadian Institutes of Health ResearchFondation de l'Hôpital général juifJewish General HospitalMcGill University Health Centre
KeywordsSirolimusGranzyme BCytotoxic T cellGranzymeMedicineCD8ImmunologyTransplantationEosinophiliaT cellBlockadeImmune systemPharmacologyBiologyInternal medicinePerforinReceptor

Abstract

fetched live from OpenAlex

Abstract Immune checkpoint inhibitor (ICI) use remains a challenge in patients with solid organ allografts as most would undergo rejection. In a melanoma patient in whom programmed-death 1 (PD-1) blockade resulted in organ rejection and colitis, the addition of the mTOR inhibitor sirolimus resulted in ongoing anti-tumor efficacy while promoting allograft tolerance. Strong granzyme B + , interferon (IFN)-γ + CD8 + cytotoxic T cell and circulating regulatory T (T reg ) cell responses were noted during allograft rejection, along with significant eosinophilia and elevated serum IL-5 and eotaxin levels. Co-treatment with sirolimus abated cytotoxic T cell numbers and eosinophilia, while elevated T reg cell numbers in the peripheral blood were maintained. Interestingly, numbers of IFN-γ + CD4 + T cells and serum IFN-γ levels increased with the addition of sirolimus treatment likely promoting ongoing anti-PD-1 efficacy. Thus, our results indicate that sirolimus has the potential to uncouple anti-PD-1 therapy toxicity and efficacy.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.459
Threshold uncertainty score0.377

Codex and Gemma teacher scores by category

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)0.0000.000

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 head0.250
Teacher spread0.239 · 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.

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

Citations105
Published2019
Admission routes2
Has abstractyes

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