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Record W2789627870 · doi:10.21037/aes.2018.ab037

AB037. rAAV mediated PEX1 gene augmentation improves visual function in a mouse model for Zellweger spectrum disorder

2018· article· en· W2789627870 on OpenAlexaff
Catherine Argyriou, Ji Yun Song, Ania Polosa, Bruno Cécyre, Jean‐François Bouchard, Pierre Lachapelle, Jean Bennett, Nancy Braverman

Bibliographic record

VenueAnnals of Eye Science · 2018
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicPeroxisome Proliferator-Activated Receptors
Canadian institutionsUniversité de MontréalMcGill UniversityMcGill Genome Centre
Fundersnot available
KeywordsVisual acuityBiologyRetinalPathologyMedicineOphthalmology

Abstract

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Background: Zellweger spectrum disorder (ZSD) is an autosomal recessive disease caused by mutations in any one of 13 PEX genes whose protein products are required for peroxisome assembly. Retinopathy leading to blindness is one of the major handicaps faced by affected individuals, but treatment for this is supportive only. To test whether we could improve visual function in ZSD, we performed a proof-of-concept trial for PEX1 gene augmentation therapy using the Pex1-G844D mouse model, which bears the equivalent to a common human mutation. This model exhibits a gradual decline in scotopic ffERG response, an always residual photopic ffERG response, diminished visual acuity, and cone and bipolar cell anomalies. Methods: We administered subretinal injections of a PEX1-containing viral vector (AAV8.CMV.hPEX1.HA) to 2 mouse cohorts of 5 or 9 weeks of age. A GFP-containing vector was used as a control in the contralateral eye of each animal. Efficient expression of the virus was confirmed by retinal histology/immunohistochemistry, and its ability to recover peroxisome import was confirmed in vitro. Preliminary ffERG and optokinetic (OKN) analyses were performed on a subset of animals at 8, 16, and 20 weeks after gene delivery. Final ffERG and OKN measures were performed when each cohort reached 32 weeks of age (23 or 27 weeks post injection). Results: Preliminary ffERG and OKN analyses at 8 weeks post injection showed mildly better retinal response and visual acuity, respectively, in the PEX1-injected eyes, as did ffERG analysis when each cohort reached 25 weeks of age (16 or 20 weeks after gene delivery). This effect was more pronounced in the cohort treated at 5 weeks of age, when ffERG response is highest in Pex1-G844D mice. At 32 weeks of age, the ffERG response in the PEX1-injected eyes was double that of GFP-injected eyes, on average, though there was no change in OKN. Furthermore, in PEX1-injected eyes the photopic ffERG response improved over time, and the decline in scotopic b-wave amplitude was ameliorated compared to un-injected eyes. Conclusions: AAV8.CMV.hPEX1.HA was subretinally delivered into the left eye of 5- and 9-week-old Pex1-G844D retina. Successful expression of the protein with no gross histologic side effect was observed. Neither the injection, nor exposure to the AAV8 capsid or the transgenic protein negatively altered the ERG or OKN response. At 5–6 months after gene delivery, therapeutic vector-treated eyes showed improved ERG compared to control eyes, on average, in both the “prevention” and “recovery” cohorts. This implies clinical potential of gene delivery to improve vision in patients with ZSD. Retinal immunohistochemistry (to visualize retinal cell types) and biochemical analyses will be performed on treated and untreated retinas, and may inform the mechanism of ERG improvement.

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)0.001
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 score0.003
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0030.001

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 head0.023
GPT teacher head0.330
Teacher spread0.308 · 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".

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Citations1
Published2018
Admission routes1
Has abstractyes

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