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Record W4415166562 · doi:10.1172/jci184474

Biallelic variants in ARHGAP19 cause a progressive inherited motor-predominant neuropathy

2025· article· en· W4415166562 on OpenAlexafffund
Natalia Dominik, Stéphanie Efthymiou, Christopher J. Record, Xinyu Miao, J. Parmar, Annarita Scardamaglia, Reza Maroofian, Simon A. Lowe, Gabriel Aughey, Abigail D. Wilson, Riccardo Curró, Ricardo Parolin Schnekenberg, Shahryar Alavi, Leif Leclaire, Yi He, Kristina Zhelcheska, Yohanns Bellaı̈che, Isabelle Gaugué, Mariola Skorupinska, Liedewei Van de Vondel, Sahar Da’as, Valentina Turchetti, Serdal Güngör, G. Monahan, Ehsan Ghayoor Karimiani, Yalda Jamshidi, Phillipa J. Lamont, Camila Armirola-Ricaurte, Haluk Topaloğlu, Albena Jordanova, Mashaya Zaman, Selina Banu, Wilson Marques, Pedro José Tomaselli, Büşra Aynekin, Ali Cansu, Hüseyin Per, Ayten Güleç, Javeria Raza Alvi, Tipu Sultan, Arif O. Khan, Giovanni Zifarelli, Shahnaz Ibrahim, Grazia M.S. Mancini, M. Mahdi Motazacker, Esther Brusse, Vincenzo Lupo, Teresa Sevilla, A. Nazli Başak, Şeyma Tekgül, Robin Palvadeau, Jonathan Baets, Yeşim Parman, Arman Çakar, Rita Horváth, Tobias B. Haack, J. Stahl, Kathrin Grundmann‐Hauser, Joohyun Park, Stephan Züchner, Nigel G. Laing, Lindsay A. Wilson, Alexander M. Rossor, James Polke, Fernanda Barbosa Figueiredo, André Luiz Santos Pessoa, Fernando Kok, Antônio Rodrigues Coimbra Neto, Marcondes C. França, Gianina Ravenscroft, Sherifa A. Hamed, Wendy K. Chung, Alan Pittman, Daniel P. S. Osborn, Michael G. Hanna, Andrea Cortese, Mary M. Reilly, James E.C. Jepson, Nathalie Lamarche‐Vane, Henry Houlden

Bibliographic record

VenueJournal of Clinical Investigation · 2025
Typearticle
Languageen
FieldNeuroscience
TopicNeurological diseases and metabolism
Canadian institutionsMcGill UniversityMcGill University Health Centre
FundersCIHR Skin Research Training CentreMedical Research CouncilNational Institutes of HealthFundação de Amparo à Pesquisa do Estado de São PauloUniversità degli Studi dell'AquilaDeutsche ForschungsgemeinschaftMedical Research Future FundNatural Sciences and Engineering Research Council of CanadaMuscular Dystrophy AssociationNIHR Cambridge Biomedical Research CentreEuropean CommissionUniversity College LondonWellcome TrustNational Institute of Neurological Disorders and StrokeNational Institute for Health and Care Research
KeywordsPhenotypeTranscriptomeGeneDrosophila melanogasterIn silicoMutationRHOADiseaseGenetic heterogeneityHEK 293 cells

Abstract

fetched live from OpenAlex

Charcot-Marie-Tooth (CMT) disease is a clinically and genetically heterogeneous group of hereditary neuropathies. Despite progress in genetic sequencing, for around a quarter of patients the disease has lacked a genetic explanation. Here, we identified 16 recessive variants in the RhoGTPase activating protein 19 gene (ARHGAP19) causing motor-predominant neuropathy in 25 individuals from 20 unrelated families. The ARHGAP19 protein acts as a negative regulator of the RhoA GTPase. In vitro biochemical and cellular assays revealed that patient variants impair the GTPase-activating protein (GAP) activity of ARHGAP19 and reduce ARHGAP19 protein levels. Through the use of patient lines, in vitro GAP assays and in silico molecular modeling, we provided evidence that CMT-associated ARHGAP19 variants act through a loss-of-function (LOF) mechanism. LOF in ARHGAP19 orthologues in Drosophila melanogaster and Danio rerio induced motor defects in axonal and synaptic morphology. Similar cellular phenotypes were observed in ARHGAP19 patient-derived motoneurons. Transcriptomic studies further demonstrated that ARHGAP19 regulates cellular pathways associated with motor proteins and the cell cycle. Taken together, our findings establish ARHGAP19 variants as a cause of inherited neuropathy acting through a LOF mechanism.

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)0.000
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.124
GPT teacher head0.405
Teacher spread0.281 · 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
Published2025
Admission routes2
Has abstractyes

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