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Record W2912876039 · doi:10.1093/brain/awy346

PLPHP deficiency: clinical, genetic, biochemical, and mechanistic insights

2018· article· en· W2912876039 on OpenAlexafffund
Devon L. Johnstone, Hilal H. Al-Shekaili, Maja Tarailo‐Graovac, Nicole I. Wolf, Autumn S. Ivy, Scott Demarest, Yann Roussel, Jolita Čiapaitė, Carlo W.T. van Roermund, Kristin D. Kernohan, Ceres Kosuta, Kevin Ban, Yoko Itō, Skye McBride, Khalid Al‐Thihli, Rana Abdelrahim, Roshan Koul, Amna Al‐Futaisi, Charlotte A. Haaxma, Heather E. Olson, Laufey Yr Sigurdardottir, Georgianne L. Arnold, Erica H. Gerkes, M. E. Boon, M. Rebecca Heiner‐Fokkema, Sandra Noble, Marjolein Bosma, Judith Jans, David A. Koolen, Erik-Jan Kamsteeg, Britt I. Drögemöller, Colin J.D. Ross, Jacek Majewski, Megan T. Cho, Amber Begtrup, Wyeth W. Wasserman, Tuan V. Bui, Elise Brimble, Sara Violante, Sander M. Houten, Ron A. Wevers, Martijn van Faassen, Ido P. Kema, Nathalie Lepage, Matthew A. Lines, David A. Dyment, Ronald J. A. Wanders, Nanda M. Verhoeven‐Duif, Marc Ekker, Kym M. Boycott, Jan M. Friedman, Izabella A. Pena, Clara D.M. van Karnebeek

Bibliographic record

VenueBrain · 2018
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMetabolism and Genetic Disorders
Canadian institutionsAlberta Children's HospitalMcGill UniversityChildren's Hospital of Eastern OntarioUniversity of CalgaryBC Children's HospitalMcGill University and Génome Québec Innovation CentreUniversity of British ColumbiaUniversity of Ottawa
FundersMinistry of Higher EducationMichael Smith Health Research BCStichting MetakidsCanadian Institutes of Health ResearchNational Institute of Neurological Disorders and StrokeChildren's Hospital of Eastern Ontario FoundationGenome CanadaNational Ataxia FoundationOntario GenomicsGenome British ColumbiaRare Disease FoundationChildren's Hospital Foundation
KeywordsBiologyPhenotypeEpilepsyDiseaseZebrafishEncephalopathyStatus epilepticusGeneticsBioinformaticsInternal medicineMedicineNeuroscienceGene

Abstract

fetched live from OpenAlex

Biallelic pathogenic variants in PLPBP (formerly called PROSC) have recently been shown to cause a novel form of vitamin B6-dependent epilepsy, the pathophysiological basis of which is poorly understood. When left untreated, the disease can progress to status epilepticus and death in infancy. Here we present 12 previously undescribed patients and six novel pathogenic variants in PLPBP. Suspected clinical diagnoses prior to identification of PLPBP variants included mitochondrial encephalopathy (two patients), folinic acid-responsive epilepsy (one patient) and a movement disorder compatible with AADC deficiency (one patient). The encoded protein, PLPHP is believed to be crucial for B6 homeostasis. We modelled the pathogenicity of the variants and developed a clinical severity scoring system. The most severe phenotypes were associated with variants leading to loss of function of PLPBP or significantly affecting protein stability/PLP-binding. To explore the pathophysiology of this disease further, we developed the first zebrafish model of PLPHP deficiency using CRISPR/Cas9. Our model recapitulates the disease, with plpbp-/- larvae showing behavioural, biochemical, and electrophysiological signs of seizure activity by 10 days post-fertilization and early death by 16 days post-fertilization. Treatment with pyridoxine significantly improved the epileptic phenotype and extended lifespan in plpbp-/- animals. Larvae had disruptions in amino acid metabolism as well as GABA and catecholamine biosynthesis, indicating impairment of PLP-dependent enzymatic activities. Using mass spectrometry, we observed significant B6 vitamer level changes in plpbp-/- zebrafish, patient fibroblasts and PLPHP-deficient HEK293 cells. Additional studies in human cells and yeast provide the first empirical evidence that PLPHP is localized in mitochondria and may play a role in mitochondrial metabolism. These models provide new insights into disease mechanisms and can serve as a platform for drug discovery.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.697
Threshold uncertainty score0.537

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 science0.0000.000
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 head0.288
Teacher spread0.275 · 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.

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

Citations90
Published2018
Admission routes2
Has abstractyes

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