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Record W1972714276 · doi:10.1089/10430340050111304

Biolistic-Mediated Interleukin 4 Gene Transfer Prevents the Onset of Type 1 Diabetes

2000· article· en· W1972714276 on OpenAlex
Mark J. Cameron, Craig A. Strathdee, Kevin D. Holmes, Guillermo Arreaza, Gregory A. Dekaban, Terry L. Delovitch

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueHuman Gene Therapy · 2000
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicDiabetes and associated disorders
Canadian institutionsWestern University
Fundersnot available
KeywordsInsulitisBiologyGenetic enhancementRepliconVector (molecular biology)TransfectionViral vectorVirologyGene deliveryNOD miceVirusImmunologyMolecular biologyGeneNodDiabetes mellitusPlasmidEndocrinologyGeneticsRecombinant DNA

Abstract

fetched live from OpenAlex

We tested the efficacy of biolistic-mediated gene transfer as a noninvasive therapy for type 1 diabetes (T1D) in nonobese diabetic (NOD) mice by expression of murine interleukin 4 (mIL-4) cDNA. Epidermal delivery of 2 microg of DNA yielded transient detection of serum mIL-4, using a conventional cDNA expression vector. A vector stabilized by incorporation of the Epstein-Barr virus (EBV) EBNA1/oriP episomal maintenance replicon produced higher levels of serum mIL-4 that persisted for 12 days after inoculation. Although biolistic inoculation of either vector reduced insulitis and prevented diabetes, the protracted mIL-4 expression afforded by the EBV vector resulted in Th2-type responses in the periphery and pancreas and more significant protection from the onset of diabetes. Our studies demonstrate the efficacy of biolistic gene delivery of stabilized cytokine expression as a viable therapeutic approach to prevent the onset of T1D.

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.

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 score0.040
Threshold uncertainty score0.745

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 integrity0.0000.000
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 head0.012
GPT teacher head0.243
Teacher spread0.231 · 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