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Record W7117121326 · doi:10.1002/alz70855_099957

Targeting anaplastic lymphoma kinase (ALK) alleviates synaptic dysfunction associated with C9orf72 haploinsufficiency

2025· article· en· W7117121326 on OpenAlexaff
Bryan Kartono, Liliana Attisano, Janice Robertson

Bibliographic record

VenueAlzheimer s & Dementia · 2025
Typearticle
Languageen
FieldMedicine
TopicAmyotrophic Lateral Sclerosis Research
Canadian institutionsOccupational Cancer Research CentreUniversity of Toronto
Fundersnot available
KeywordsC9orf72HaploinsufficiencyPathogenesisAnaplastic lymphoma kinaseLymphomaKinase

Abstract

fetched live from OpenAlex

BACKGROUND: Hexanucleotide repeat expansions in C9orf72 are the most common genetic cause of frontotemporal dementia (FTD) and amyotrophic lateral sclerosis (ALS). The repeat expansions cause C9orf72 haploinsufficiency and reduced C9orf72 protein expression. C9orf72 haploinsufficiency disrupts normal synaptic function, causing alterations in neuronal morphology, glutamatergic imbalances, and dysregulation of pre- and post-synaptic proteins, linked to aberrant actin dynamics. These disruptions are central to the pathogenesis of C9orf72-related FTD. Lorlatinib, an ALK inhibitor used in cancer therapy, has known effects on regulating actin dynamics, acting through the PI3K-LIMK-cofilin pathway. Here, we explored lorlatinib as a potential therapeutic by testing its effects on rescuing neuronal phenotypes caused by C9orf72 haploinsufficiency. METHODS: To assess lorlatinib's potential in mitigating synaptic dysfunction associated with C9orf72 haploinsufficiency, we used primary cortical neurons from C9orf72+/- mouse embryos (E13-16). We focused on dendritic arborization and vulnerability to glutamate excitotoxicity. Analyses were performed at DIV12-15 using immunocytochemistry and immunoblots to evaluate dendritic complexity and protein expression. RESULTS: Primary cortical neurons with C9orf72 haploinsufficiency exhibit alterations in dendritic branching, indicating disrupted neuronal connectivity. Additionally, C9orf72 haploinsufficiency increases neuronal vulnerability to excitotoxicity and cell death under stress, evidenced by reduced viability following high glutamate exposure. Glutamate excitotoxicity is a common pathomechanism in neurodegenerative diseases, including FTD/ALS. This can be explained by elevated calcium-permeable AMPAR subunit GluA1 levels at post-synaptic sites, increasing vulnerability. These synaptic dysfunction phenotypes arise from aberrant activity of interrelated PI3K/Akt and LIMK1/cofilin pathways. Importantly, inhibition of ALK by lorlatinib rescues dendritic complexity and enhances neuronal resilience to glutamate-induced damage by normalizing PI3K/Akt and LIMK1/cofilin activity. Lorlatinib may mitigate synaptic dysfunction and preserve neuronal connectivity, addressing key pathomechanisms underlying C9orf72-FTD. CONCLUSION: Our findings highlight the therapeutic potential of lorlatinib, an ALK inhibitor, in mitigating synaptic deficits caused by C9orf72 haploinsufficiency. We emphasize the role of synaptic pathology in C9orf72-FTD pathogenesis and suggest that targeting ALK with drugs like lorlatinib could offer promising therapeutic strategies for treating synaptic dysfunction caused by C9orf72 haploinsufficiency.

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: 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
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
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 head0.020
GPT teacher head0.265
Teacher spread0.246 · 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
Published2025
Admission routes1
Has abstractyes

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