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Record W4404408929 · doi:10.1101/2024.11.12.622951

ENTPD3-specific CAR regulatory T cells for local immune control in T1D

2024· preprint· en· W4404408929 on OpenAlexaff
Tom Pieper, Tobias Riët, Valerie Saetzler, Katharina Bergerhoff, Jenny L. McGovern, Louise Delsing, Mark A. Atkinson, Tracey Lodie, Lutz Jermutus, Fatih Noyan, Michael Hust, Irina Kusmartseva, Maike Hagedorn, Maren Lieber, Pierre Henschel, Viktor Glaser, Robert Geffers, Mingxing Yang, Julia Polansky-Biskup, Britta Eiz‐Vesper, Agnes Bonifacius, Marc Martinez Llordella, Daniela Penston, Artemis Gavriil, Thomas Grothier, Evanthia Nikolopoulou, Nikolaos Demertzis, Victoria Koullourou, Bader Zarrouki, Marcella Sini, Janice Pfeiff, Isabelle Matthiesen, Matthias Hardtke‐Wolenski, Elmar Jaeckel

Bibliographic record

VenuebioRxiv (Cold Spring Harbor Laboratory) · 2024
Typepreprint
Languageen
FieldImmunology and Microbiology
TopicImmune Cell Function and Interaction
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsImmune systemControl (management)BusinessCell biologyBiologyComputer scienceGeneticsArtificial intelligence

Abstract

fetched live from OpenAlex

Abstract Despite advances in Type 1 Diabetes (T1D) management such as hybrid closed loop systems, patients still face significant morbidity, reduced life expectancy, and impaired glucose regulation compared to healthy individuals or those with pancreas transplants. Here we developed beta cell-specific Chimeric Antigen Receptors (CAR) targeting the antigen ectonucleoside triphosphate diphosphohydrolase 3 (ENTPD3) using a novel cell-based phage display methodology. ENTPD3 is highly expressed on beta cells of both early and progressed T1D patients. ENTPD3 CAR regulatory T cells (Tregs) homed, expanded and persisted in pancreatic islets in a T1D mouse model (NOD) and completely prevented disease progression. Human ENTPD3 CAR Tregs displayed a stable regulatory phenotype, strong activation, and suppression. Importantly, ENTPD3 CAR T cells recognised and were fully activated by human islets. This approach holds great promise as a durable treatment option for patients with prediabetes, new-onset diabetes, or those undergoing beta cell replacement therapy.

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 score0.007

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 head0.009
GPT teacher head0.201
Teacher spread0.192 · 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

Citations4
Published2024
Admission routes1
Has abstractyes

Explore more

Same venuebioRxiv (Cold Spring Harbor Laboratory)→Same topicImmune Cell Function and Interaction→French-language works237,207→