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Record W3087910839 · doi:10.1093/brain/awz307

Defining the clinical, molecular and imaging spectrum of adaptor protein complex 4-associated hereditary spastic paraplegia

2019· article· en· W3087910839 on OpenAlexaff
Darius Ebrahimi‐Fakhari, Julian Teinert, Robert Behne, Miriam Wimmer, Angelica D’Amore, Kathrin Eberhardt, Barbara Brechmann, M. L. ZIEGLER, Dana M. Jensen, Premsai Nagabhyrava, Gregory Geisel, Erin Carmody, Uzma Shamshad, Kira A. Dies, Christopher J. Yuskaitis, Catherine L. Salussolia, Daniel Ebrahimi‐Fakhari, Toni S. Pearson, Afshin Saffari, Andreas Ziegler, Stefan Kölker, Jens Volkmann, Antje Wiesener, David Bearden, Shenela Lakhani, Devorah Segal, Anaita Hegde, Andrea Martinuzzi, Jennifer Hirst, Seth J. Perlman, Yoshihisa Takiyama, Georgia Xiromerisiou, Katharina Vill, William O. Walker, Anju Shukla, Rachana Dubey Gupta, Niklas Dahl, Ayşe Aksoy, Hélène Verhelst, Mauricio R. Delgado, Radka Kremlíková Pourová, Abdelrahim A. Sadek, Nour Elkhateeb, Lubov Blumkin, Alejandro Brea‐Fernández, David Dacruz-Álvarez, Thomas Smol, Jamal Ghoumid, Diego Miguel, Constanze Heine, Jan-Ulrich Schlump, Hendrik Langen, Jonathan Baets, Saskia Bulk, Hossein Darvish, Somayeh Bakhtiari, Michael C. Kruer, Elizabeth Lim-Melia, Nur Aydınli̇, Yasemin Alanay, Omnia Fathy El-Rashidy, Sheela Nampoothiri, Chirag Patel, Christian Beetz, Peter Bauer, Grace Yoon, M Guillot, Steven P. Miller, Thomas Bourinaris, Henry Houlden, Laura Robelin, Mathieu Anheim, Abdullah Alamri, Adel Mahmoud, Soroor Inaloo, Parham Habibzadeh, Mohammad Ali Faghihi, Anna Jansen, Stefanie Brock, Agathe Roubertie, Basil T. Darras, Pankaj B. Agrawal, Filippo M. Santorelli, Joseph G. Gleeson, Maha S. Zaki, Sarah Sheikh, James T. Bennett, Mustafa Şahin

Bibliographic record

VenueBrain · 2019
Typearticle
Languageen
FieldNeuroscience
TopicHereditary Neurological Disorders
Canadian institutionsSickKids FoundationHospital for Sick ChildrenUniversity of Toronto
Fundersnot available
KeywordsHereditary spastic paraplegiaVentriculomegalyHypotoniaCorpus callosumMicrocephalyPediatricsPseudobulbar palsyMedicineSpasticPsychologyAudiologyPhysical medicine and rehabilitationCerebral palsyNeuroscienceGeneticsBiologyPhenotype

Abstract

fetched live from OpenAlex

Bi-allelic loss-of-function variants in genes that encode subunits of the adaptor protein complex 4 (AP-4) lead to prototypical yet poorly understood forms of childhood-onset and complex hereditary spastic paraplegia: SPG47 (AP4B1), SPG50 (AP4M1), SPG51 (AP4E1) and SPG52 (AP4S1). Here, we report a detailed cross-sectional analysis of clinical, imaging and molecular data of 156 patients from 101 families. Enrolled patients were of diverse ethnic backgrounds and covered a wide age range (1.0-49.3 years). While the mean age at symptom onset was 0.8 ± 0.6 years [standard deviation (SD), range 0.2-5.0], the mean age at diagnosis was 10.2 ± 8.5 years (SD, range 0.1-46.3). We define a set of core features: early-onset developmental delay with delayed motor milestones and significant speech delay (50% non-verbal); intellectual disability in the moderate to severe range; mild hypotonia in infancy followed by spastic diplegia (mean age: 8.4 ± 5.1 years, SD) and later tetraplegia (mean age: 16.1 ± 9.8 years, SD); postnatal microcephaly (83%); foot deformities (69%); and epilepsy (66%) that is intractable in a subset. At last follow-up, 36% ambulated with assistance (mean age: 8.9 ± 6.4 years, SD) and 54% were wheelchair-dependent (mean age: 13.4 ± 9.8 years, SD). Episodes of stereotypic laughing, possibly consistent with a pseudobulbar affect, were found in 56% of patients. Key features on neuroimaging include a thin corpus callosum (90%), ventriculomegaly (65%) often with colpocephaly, and periventricular white-matter signal abnormalities (68%). Iron deposition and polymicrogyria were found in a subset of patients. AP4B1-associated SPG47 and AP4M1-associated SPG50 accounted for the majority of cases. About two-thirds of patients were born to consanguineous parents, and 82% carried homozygous variants. Over 70 unique variants were present, the majority of which are frameshift or nonsense mutations. To track disease progression across the age spectrum, we defined the relationship between disease severity as measured by several rating scales and disease duration. We found that the presence of epilepsy, which manifested before the age of 3 years in the majority of patients, was associated with worse motor outcomes. Exploring genotype-phenotype correlations, we found that disease severity and major phenotypes were equally distributed among the four subtypes, establishing that SPG47, SPG50, SPG51 and SPG52 share a common phenotype, an 'AP-4 deficiency syndrome'. By delineating the core clinical, imaging, and molecular features of AP-4-associated hereditary spastic paraplegia across the age spectrum our results will facilitate early diagnosis, enable counselling and anticipatory guidance of affected families and help define endpoints for future interventional trials.

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)0.001
metaresearch head score (Gemma)0.004
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 score0.829
Threshold uncertainty score0.518

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.004
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 head0.031
GPT teacher head0.287
Teacher spread0.256 · 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

Citations75
Published2019
Admission routes1
Has abstractyes

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