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Record W3153805419 · doi:10.14288/1.0396548

Premature termination codon readthrough restores progranulin expression in preclinical models of frontotemporal dementia and neuronal ceroid lipofuscinosis

2021· article· en· W3153805419 on OpenAlexaff
Jonathan Frew

Bibliographic record

VenuecIRcle (University of British Columbia) · 2021
Typearticle
Languageen
FieldMedicine
TopicAmyotrophic Lateral Sclerosis Research
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsFrontotemporal dementiaNeuronal ceroid lipofuscinosisDementiaMedicineNeuroscienceGeneticsBiologyGenePsychologyDiseaseInternal medicine

Abstract

fetched live from OpenAlex

Frontotemporal dementia (FTD) is a devastating and progressive disorder and a common form of early-onset dementia. There are currently no disease-modifying therapies available, signifying the need for new therapeutic approaches. Progranulin (PGRN) haploinsufficiency due to autosomal dominant mutations in the progranulin gene (GRN) is a major cause of familial FTD (FTD-GRN), with nearly a quarter of these genetic cases resulting from a nonsense mutation. Nonsense mutations introduce premature termination codons (PTCs) that can be therapeutically targeted by compounds allowing readthrough, and aminoglycoside antibiotics are known to be potent PTC readthrough drugs. When this research project was initiated, restoring PGRN through PTC readthrough had not been explored as a therapeutic intervention in FTD-GRN. We used human induced pluripotent cell (hiPSC) lines bearing clinical nonsense mutations spanning the GRN coding region (S116X⁺/˗, R418X⁺/˗, R493X-/- KI) to evaluate G418 and novel PTC readthrough enhancer (CDX-series) combination treatments. Our aim was to demonstrate proof-of-concept GRN PTC readthrough and lower the required dose of G418 to address the known toxicity of traditional aminoglycoside PTC readthrough agents. Screening in HEK293 cells expressing nonsense mutant (S116X, R418X, R493X) GRN expression constructs found PTC readthrough combination treatment with G418 and CDX5-288 enhancer most potently induced GRN readthrough. We demonstrated in vivo proof-of-concept GRN PTC readthrough by performing single intracerebroventricular (ICV) injections of G418 with or without CDX5-288 enhancer in our GRN R493X adeno-associated virus-based mouse model. Combination treatment in hiPSC-derived isogenic R493X-/- KI cortical neurons significantly restored PGRN levels and normalized overexpression of the mature form of the lysosomal enzyme cathepsin D. We attempted to achieve in vivo PTC readthrough of GrnR493X through repeated ICV administrations of G418 in GrnR493X/R493X mice. However, G418 doses capable of eliciting PTC readthrough in these mice were associated with significant neurotoxicity. We next conducted further neuropathological characterization of lysosomal dysfunction, neuroinflammation, and neurodegeneration in GrnR493X/R493X mice, identifying several phenotypes recently reported in Grn-/- mice, including decreased thalamic excitatory neuronal density. Taken together, our findings suggest that PTC readthrough may be a potential therapeutic strategy for FTD caused by GRN nonsense mutations and support further investigations into novel readthrough drugs with improved tolerability.

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 score0.001
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
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 head0.031
GPT teacher head0.257
Teacher spread0.226 · 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

Citations0
Published2021
Admission routes1
Has abstractyes

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