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Record W2561103578 · doi:10.1016/s1525-0016(16)33133-1

324. Successful Repeated Delivery of Helper-Dependent Adenoviral Vector Toachieve Efficient Long-Term Human CFTR Expression in Mouse Airwaythrough Transient Immunosuppression

2016· article· en· W2561103578 on OpenAlexaff
Huibi Cao, Jim Hu

Bibliographic record

VenueMolecular Therapy · 2016
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicVirus-based gene therapy research
Canadian institutionsHospital for Sick Children
Fundersnot available
KeywordsCystic fibrosisViral vectorImmunosuppressionProgenitor cellCystic fibrosis transmembrane conductance regulatorGenetic enhancementGene deliveryVector (molecular biology)ImmunologyImmune systemBiologyMedicineStem cellCancer researchCell biologyGeneInternal medicine

Abstract

fetched live from OpenAlex

Cystic Fibrosis (CF) is a common life-threatening disease caused by mutations in the cystic fibrosis transmembrane conductance regulator (CFTR) gene, which encodes an epithelial chloride channel. As a chronic, lifelong disease, CF should be best treated with a continue level of CFTR expression. Pulmonary gene therapy may ultimately cure the CF lung disease. Thus, efficient long-term expression of the delivered CFTR gene in targeted cell types is essential to achieve this goal either by repeated application or with a long-duration expression system. Even though novel approaches to target airway progenitor/stem cells with gene editing may be more attractive, the efficiency for targeting specific progenitor cells will still be a challenge in airway delivery. Repeated administration of viral vectors may be required to increase the percentage of cells to be targeted and to boost long-term therapeutic effects. However, immune responses to viral proteins are the greatest barrier to repeated vector administration. Here, we demonstrated that repeated transduction of human CFTR gene in mouse airway can be successfully achieved with helper-dependent adenoviral (HD-Ad) vector through transient immunosuppression. We showed previously that cyclophosphamide significantly enhanced human CFTR expression in mice received HD-Ad vector readministration and sustained expression through inhibition of host immune reactions. In this study, we examined cyclophosphamide effects on expression of the human CFTR in multiple rounds of HD-Ad vector delivery to mouse airways. Four group mice were nasally delivered with an HD-Ad-K18-CFTR vector at 1.5×1010 vector particles per mouse at day 0, day 70 and day 120. Two groups were treated with cyclophosphamide 6 hours before and 4 day and 8 days after vector delivery each time (except the last round of vector delivery for mice sacrificed at day 123). The other two groups without treatment were used as controls. One treated group and one control group were sacrificed at day 123, and the others at day 153 for detecting transgene expression and immune reaction. We found that cyclophosphamide has significantly improved the expression of CFTR (4.1 times higher) compared to the control group as determined by real-time qPCR 3 days after last delivery. And the CFTR expression level was 3.1 times higher 30 days after last vector transduction. Cyclophosphamide also significantly reduced the levels of antiadenoviral and neutralizing antibodies in both BALF and serum as well as prevented leukocyte infiltration in lung tissues. This data suggested that efficient repeated transduction of human CFTR gene with HD-Ad vector can be achieved by transient immunopuression in mouse lung.

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 categoriesMeta-epidemiology (narrow)
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 score0.006
Threshold uncertainty score1.000

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 science0.0010.000
Research integrity0.0000.000
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 head0.014
GPT teacher head0.284
Teacher spread0.269 · 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.

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
Published2016
Admission routes1
Has abstractyes

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