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Dexamethasone Promotes Transgene Expression and Supresses the Early Immune /Inflammatory Response in Adenovirus- Mediated Gene Delivery to Hemophilic Mice.

2005· article· en· W2573160593 on OpenAlexaff
Maha Othman, Ian Mazzetti, Andrea Labelle, David Lillicrap

Bibliographic record

VenueBlood · 2005
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicVirus-based gene therapy research
Canadian institutionsQueen's University
Fundersnot available
KeywordsDexamethasoneGenetic enhancementImmune systemImmunologyAdenoviridaeGene deliveryViral vectorInflammationTransgeneBiologyMedicineInternal medicineGene

Abstract

fetched live from OpenAlex

Abstract The major limitation of adenovirus-mediated gene therapy is the generation of immune/inflammatory responses that result in host toxicity and impair gene transfer efficiency. Adenovirus vectors (Ad) activate the innate arm of the immune response resulting in systemic inflammation and cytotoxicity to transduced tissues. In addition to these systemic effects, endothelial cell interactions play a critical role in the host response to Ad vectors. Dexamethasone (DEX) is one of the long acting corticosteroid preparations that acts as a potent anti-inflammatory and immune suppression agent with a wide variety of clinical applications. We investigated the effects of Dexamethasone as an anti-inflammatory agent on the outcome of adenoviral gene delivery of FVIII to a group of Balb/C hemophilic mice. We have used an E1/E3 deleted Ad vector expressing B domain deleted version of the canine FVIII gene under the transcriptional control of a liver-restricted promoter. All mice received 1 x 10 11 viral particles/ mouse. Dexamethasone at 1.5 mg/Kg was administered SC, 24h before adenovirus injection and the treatment regimen was continued twice a week for 4 weeks post virus administration. We compared the outcome of gene therapy in mice treated with dexamethasone (DEX+Ad group) to a group of mice that received adenovirus only (Ad only group) as well as saline and DEX only controls. We assessed the outcome of the gene therapy by measuring FVIII levels, acute liver injury by means of Alanine aminotransferase enzyme (ALT), the principal cytokine TNF alpha, platelet count and Hb levels. Compared to the Ad only group, the DEX+ Ad group showed significant elevation of FVIII expression levels at day 2, 1w, 2w and 4w post Adenovirus administration (n=3, p= 0.05, 0.002, 0.0002 and 0.005 respectively). DEX resulted in 2.7, 1.6, 2.7and 2.5 fold increase in transgene expression in these time points over the Ad only group. There was a significant reduction of TNF alpha levels 5 hours post Ad administration in the DEX+Ad group (n=3, p< 0.002) when compared to the Ad only group. This corresponded to 4-fold reduction in cytokine release. With regards acute hepatotoxicity, ALT levels were significantly reduced at 1w post administration in the DEX+ Ad group Vs Ad only group. The average ALT levels represented a 5.3 fold elevation and only 1.4 fold elevation relative to the pre vector administration levels in the Ad only group Vs DEX+Ad. Dexamathasone did not appear to have a significant effect on the acute transient thrombocytopenia. In each of the DEX+Ad group and Ad only group, the reduction in platelet count at 24 h post Ad injection was significant when compared to the pre injection level (n=3, p<0.01, p< 0.003 respectively). Monitoring HB level over 4 weeks did not show any significant alteration with respect to the use of DEX when compared the Ad only treated mice (n=3, p: 0.09–0.4 throughout).Our results indicate a beneficial effect of coverage with Dexamethasone to prevent some of the early adverse host effects that are associated with adenovirus gene therapy. This study provides a rationale for the further assessment of this anti-inflammatory agent as a useful tool in adenovirus- based gene transfer protocols.

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 score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
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 head0.011
GPT teacher head0.252
Teacher spread0.240 · 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

Citations1
Published2005
Admission routes1
Has abstractyes

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