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Record W4307523479 · doi:10.1101/2022.10.19.22281191

Natural history of epilepsy in argininosuccinic aciduria provides new insights into pathophysiology

2022· preprint· en· W4307523479 on OpenAlexafffundabout
Nour Elkhateeb, Giorgia Olivieri, Barbara Siri, Karolina M. Stępień, Reena Sharma, Andrew A. M. Morris, Thomas Hartley, Laura Crowther, Stephanie Grünewald, Maureen Cleary, Helen Mundy, Anupam Chakrapani, Robin Lachmann, Elaine Murphy, Saikat Santra, Mari‐Liis Uudelepp, Mildrid Yeo, Alicia Chan, Philippa B. Mills, Debora Ridout, Paul Gissen, Carlo Dionisi‐Vici, Julien Baruteau

Bibliographic record

VenuemedRxiv · 2022
Typepreprint
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMetabolism and Genetic Disorders
Canadian institutionsUniversity of Alberta
FundersMedical Research CouncilGreat Ormond Street Hospital for ChildrenNational Institute for Health and Care ResearchUniversity of AlbertaOspedale Pediatrico Bambino Gesù
KeywordsEpilepsyUrea cycleArgininosuccinate lyasePediatricsMedicineValproic AcidPathophysiologyInternal medicineArgininePsychiatryBiology

Abstract

fetched live from OpenAlex

ABSTRACT Introduction Argininosuccinate lyase is integral to the urea cycle, which enables nitrogen waste and biosynthesis of arginine, a precursor of nitric oxide. Inherited argininosuccinate lyase deficiency causes argininosuccinic aciduria, the second most common urea cycle defect and an inherited model of systemic nitric oxide deficiency. Patients present with developmental delay, epilepsy and movement disorder. Here we aim to characterise epilepsy, a common and neurodebilitating complication in argininosuccinic aciduria. Patients and Methods We conducted a retrospective study in seven tertiary metabolic centres in the UK, Italy and Canada from 2020 to 2022 to assess the phenotype of epilepsy in ASA and correlate it with clinical, biochemical, radiological and electroencephalographic data. Results Thirty-seven patients aged 1 to 31 years old were included. Twenty-two (60%) patients presented epilepsy. Median age at epilepsy-onset was 24 months. Generalized tonic clonic and focal seizures were most common in early-onset patients whilst atypical absences were predominant in late-onset patients. Seventeen patients (77%) required antiseizure medications and 6 (27%) had partially controlled or refractory epilepsy. Epileptic patients presented with a severe neurodebilitating disease with higher rates of speech delay ( p =0.04) and autism spectrum disorders ( p =0.01) and more frequent arginine supplementation ( p =0.01) compared to non-epileptic patients. Neonatal seizures were not associated with a higher risk of developing epilepsy. Biomarkers of ureagenesis did not differ between epileptic and non-epileptic patients. Epilepsy-onset in early infancy ( p =0.05) and electroencephalographic background asymmetry ( p =0.0007) were significant predictors of partially controlled or refractory epilepsy. Conclusions Epilepsy in argininosuccinic aciduria is frequent, polymorphic, associated with more frequent neurodevelopmental complications. We identified prognostic factors for pharmacoresistance in epilepsy. This study does not support defective ureagenesis as prominent in the pathophysiology of epilepsy but suggests roles of arginine toxicity and central dopamine deficiency. Key Points Epilepsy in ASA is frequent, polymorphic, occurring in early childhood and associated with a more severe neurodevelopmental phenotype. Early-onset epilepsy and electroencephalographic background asymmetry are prognostic for pharmaco-resistance of epilepsy in ASA. Hyperammonaemia is suggested not to be the primary pathophysiological mechanism for epileptogenesis in ASA. Central dopamine deficiency is suggested to have a role in pathophysiology of epilepsy in ASA. Arginine-related neurotoxicity is suggested to be associated with increased in frequency and severity of epilepsy in ASA.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
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 head0.010
GPT teacher head0.239
Teacher spread0.229 · 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 designObservational
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
Published2022
Admission routes3
Has abstractyes

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