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Enregistrement W4409344801 · doi:10.3389/fnins.2025.1595717

Editorial: Translational research in hereditary spastic paraplegias: filling the diagnosis gap and therapeutic perspectives

2025· editorial· en· W4409344801 sur OpenAlexaboutno aff
Andrea Martinuzzi, Craig Blackstone, Giovanni Stévanin

Notice bibliographique

RevueFrontiers in Neuroscience · 2025
Typeeditorial
Langueen
DomaineNeuroscience
ThématiqueHereditary Neurological Disorders
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésHereditary spastic paraplegiaMedicineSpasticTranslational researchPsychologyPhysical medicine and rehabilitationPathologyBiologyGenetics

Résumé

récupéré en direct d'OpenAlex

In this issue, two studies presented distinct but complementary aspects of HSP pathology assessment. The study by Cubillos Arcila et al. aimed to characterize the long-term progression of hereditary spastic paraplegias (HSPs) through a 4.5-year follow-up of patients with confirmed genetic diagnoses (26 HSP patients with SPG4, SPG7, SPG5, or SPG3A). By tracking clinicianreported (including the spastic paraplegia rating scale SPRS) and performance-based (walking tests, locomotor rehabilitation index, Timed Up & Go test) outcomes, the researchers sought to identify sensitive measures of disease progression that could inform clinical trial design for future treatments. Performance-based measures were more sensitive to change than clinician-reported measures, and sample size calculations suggested that the Timed Up & Go test requires the smallest patient cohort to detect disease improvement.The objectives of the second study by Montanaro et al, were to explore brain metabolic changes in HSP patients using magnetic resonance spectroscopy (MRS), a non-invasive neuroimaging technique that quantifies key metabolites related to neuronal integrity, inflammation, and energy metabolism. The goal was to determine whether MRS biomarkers could differentiate HSP patients (n=46) from healthy controls (n=46) as well as to track disease progression over time. Worsening of the SPRS score correlated with quantifiable metabolic changes. Among these changes, progressive myo-inositol/creatine levels in the pre-frontal cortex may indicate chronic neuroinflammation, alterations in oligodendrocyte-mediated myelination and impaired motor protein intracellular cargo transport, as suggested previously (Blackstone 2012), together with neuronal loss or dysfunction observed by reduced levels of N-acetylaspartate/creatine. SPG4 patients also had lower choline/creatine levels, opening the way for MRS-based HSP classification in the future, after enrollment of more SPG patients. Applying an inference tree methodology MRS differentiated HSP subjects and controls with an overall accuracy of 73.9%, a sensitivity of 87.0% and a specificity of 60.9%.By integrating functional and biochemical assessments, these 2 studies pave the way for more precise disease monitoring and personalized treatment approaches in HSP research. Future studies should explore targeted therapies with MRS and gait performance measures as primary outcome metrics.Finding therapeutic targets. To better understand the physiopathology of HSPs, investigating the functions of the genes involved is crucial. Despite the large number of implicated genes (>80), the affected cellular processes converge on a few key functions, such as organelle shaping, intracellular trafficking, mitochondrial functions, lipid metabolism, and development/myelination (van de Vondel et al. 2024). Interconnections among these functions suggest that common mechanisms may underlie various forms of HSP, potentially unveiling shared therapeutic targets (Toupenet Marchesi et al. 2021). Studying disease-relevant models can also provide critical insights into these mechanisms, as demonstrated in two studies in this issue focusing on two rare neurodegenerative diseases: autosomal recessive spastic ataxia of Charlevoix-Saguenay (ARSACS) and hereditary spastic paraplegia type 11 (SPG11). Both diseases are marked by progressive neurodegeneration, with ARSACS primarily involving spastic ataxia and cerebellar dysfunction due to mutations in the SACS gene, while SPG11 presents spastic paraplegia, cognitive impairment, and psychological abnormalities due to mutations in the SPG11 gene.The SACS gene encodes sacsin, a multifunctional protein crucial for mitochondrial function, protein quality control, cytoskeletal organization, and intracellular trafficking (Romano et al, 2013;Morani et al. 2019). In ARSACS, restoring calcium (Ca²⁺) influx in neurons has previously been shown to improve motor symptoms, arrest Purkinje cell degeneration, and reduce neuroinflammation in the cerebellum of Sacs knockout mice (del Biondo et al. 2023). The present study by Galatolo et al. used unbiased proteomic and targeted lipidomic analyses to explore ARSACS pathophysiology, identifying disrupted lipid metabolism, impaired Ca²⁺ signaling, and oxidative stress as key contributors to disease progression. Abnormal intracellular Ca²⁺ homeostasis, a critical factor for cellular signaling and mitochondrial function, was confirmed in ARSACS fibroblast cells. The authors suggest that elevated ceramide levels and reduced diacylglycerols are linked to mitochondrial dysfunction, highlighting lipid and Ca²⁺ dysregulation as central to ARSACS pathology. These findings suggest potential biomarkers and therapeutic targets for the disease, emphasizing the importance of maintaining lipid and Ca²⁺ homeostasis in neurodegeneration.The SPG11 gene encodes spatacsin, a protein involved in lysosome recycling. In SPG11, earlier studies have revealed significant lipid metabolism impairments, including the accumulation of cholesterol and gangliosides in lysosomes of SPG11 cells (Boutry et al., 2018;Boutry et al., 2019), alongside disrupted Ca²⁺ homeostasis. Transcriptomic analyses of knockout models have also demonstrated altered inflammatory responses (Toupenet et al., 2025), while CD8 T lymphocytes have been suggested to exacerbate axonal damage, with targeting the adaptive immune response improving motor phenotypes in the Spg11 knock-out mouse model (Horner et al., 2022). Building on these findings, the current study by Horner et al investigated the role of adaptive immune-mediated neuroinflammation in SPG11 by genetically inactivating the immune response (via Rag1 knockout) and testing the immunomodulators fingolimod (FTY720) and teriflunomide. Behavioral analyses of SPG11 mouse models revealed profound social behavior deficits, hyperactivity, and anxiety-like traits, mirroring some patient symptoms. Both genetic inactivation of the adaptive immune system and treatment with fingolimod or teriflunomide, drugs currently approved for multiple sclerosis, successfully mitigated behavioral abnormalities. Additionally, these interventions preserved cerebellar Purkinje cells, essential for motor coordination and social behavior, identifying neuroinflammation as a viable therapeutic target for SPG11. Taken together, these two studies emphasize the critical roles of lipid metabolism, calcium signaling, and neuroinflammation in the pathophysiology of ARSACS and SPG11. By highlighting shared mechanisms underlying neurodegeneration, they provide a foundation for developing common therapeutic strategies for these rare disorders.Non-disease specific therapeutic options. While awaiting an effective therapy, current treatment options for HSPs rely on rehabilitation strategies, and these are the focus of the papers from Di Ludovico et al and Boccuni et al. The first presents the state of the art in physical therapy (PT) approaches to HSP with a narrative review that concludes with a call for rigorously testing protocols where various techniques are integrated; the second presents an innovative protocol for doing just that. Di Ludovico and collaborators gather works published over the last two decades on PT treatments for HSP. Papers covering electrical stimulation (11 patients in a sham controlled crossover study), repetitive magnetic stimulation (7 HSP subjects in a sham-controlled study), hydrotherapy (9 patients), physical training (one case), robot assisted training (13 patients) and balance training with virtual reality (protocol published, no results) are presented and discussed. While each approach yielded some positive results in isolated areas, no intervention was able to show efficacy on all the most relevant dimensions (tone, strength, posture and balance maintenance, gait, quality of life). Importantly, the protocol described in the paper by Boccuni et al. responds to the call, presenting in detail the protocol of a multidimensional treatment addressing flexibility (tone), resistance (strength), movement execution (gait and balance), aerobic capacity (fatigue) intended for 20 HSP adult patients. The treatment is organized along 5 to 10 weeks, with sessions incorporating all four targets with appropriate methodologies. Addressing in an integrated way the multifaceted functional impairments associated with HSP may overcome the sometime contradictory results thus far reported with mono-dimensional interventions. This protocol, already IRB-approved, is a solid initiative to address the complex problems leading to disability in HSP using a strong, evidence-based approach.The HSP field is really moving from an exploratory phase of identifying new genes and understanding pathophysiology of HSP, with much weight on the bench work of basic research, to a proactive, translational phase where knowledge is directed toward the identification of appropriate outcome measures and biomarkers, innovative therapies, and optimized interventions. The amazing speed of new data acquisitions through research is paying dividends, providing improved trial readiness and new hope for patients with HSP.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,002
score de la tête « metaresearch » (Gemma)0,016
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMétarecherche, Méta-épidémiologie (sens strict), Études des sciences et des technologies, Intégrité de la recherche
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Éditorial · Signal consensuel: Éditorial
Score de désaccord entre enseignants0,107
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0020,016
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0010,003
Études des sciences et des technologies0,0010,003
Communication savante0,0000,000
Science ouverte0,0020,000
Intégrité de la recherche0,0010,005
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,070
Tête enseignante GPT0,346
Écart entre enseignants0,276 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Devis d'étudeSans objet
Domainenon disponible
GenreÉditorial

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2025
Routes d'admission1
Résumé présentoui

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