ReviewActa neuropathologica communications2014
Axonal degeneration in multiple sclerosis: can we predict and prevent permanent disability?
Review in Acta neuropathologica communications, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
40 citing papers in PubMed, 61 citations in OpenAlex.
- Shedding Light on Interaction Between Neurological Symptoms and Psychiatric Episodes in Multiple Sclerosis: Novel Hypothesis and Therapeutic Avenues.Molecular neurobiology · 2026Review
- Neurofilaments: A Promising Diagnostic and Prognostic Biomarker in Multiple Sclerosis.Annals of neurosciences · 2026Review
- Adjunctive strategies in multiple sclerosis treatment: non-pharmacological approaches and their potential clinical implications.Journal of translational medicine · 2026Review
- A strategy of microglia replacement alleviates microgliopathy in a CSF1R I794T hotspot mutation mouse model of CSF1R-related disorder.Cell reports. Medicine · 2026Article
- Therapeutic potential of TAM receptors in autoimmune diseases: insights from original studies.Oxford open immunology · 2026Review
- Investigating mechanisms underlying the development of paralysis symptom in a model of MS.Brain research bulletin · 2025Article
- Machine learning for refining interpretation of magnetic resonance imaging scans in the management of multiple sclerosis: a narrative review.Royal Society open science · 2025Review
- Unraveling the Nexus: The Role of Collapsin Response Mediator Protein 2 Phosphorylation in Neurodegeneration and Neuroregeneration.Neuromolecular medicine · 2024Review
- Sirtuins and Metabolism Biomarkers in Relapsing-Remitting and Secondary Progressive Multiple Sclerosis: a Correlation Study with Clinical Outcomes and Cognitive Impairments.Molecular neurobiology · 2024Article
- A Novel Hybrid of Telmisartan and Borneol Ameliorates Neuroinflammation and White Matter Injury in Ischemic Stroke Through ATF3/CH25H Axis.Translational stroke research · 2024Article
- Assessment of axonal injury in multiple sclerosis: combined analysis of serum light-chain neurofilaments and diffusion tensor imaging.BMJ neurology open · 2024Article
- Multiple Sclerosis Pathogenesis and Updates in Targeted Therapeutic Approaches.Current allergy and asthma reports · 2023Review
- Nogo receptor-Fc delivered by haematopoietic cells enhances neurorepair in a multiple sclerosis model.Brain communications · 2023Article
- Serum-Based Biomarkers in Neurodegeneration and Multiple Sclerosis.Biomedicines · 2022Review
- Review
- Myelin Peptide-Mannan Conjugate Multiple Sclerosis Vaccines: Conjugation Efficacy and Stability of Vaccine Ingredient.Vaccines · 2021Article
- Proteomics of Multiple Sclerosis: Inherent Issues in Defining the Pathoetiology and Identifying (Early) Biomarkers.International journal of molecular sciences · 2021Review
- Identification of novel myelin repair drugs by modulation of oligodendroglial differentiation competence.EBioMedicine · 2021Article
- Kynurenines and Neurofilament Light Chain in Multiple Sclerosis.Frontiers in neuroscience · 2021Review
- The Evolution of Neurofilament Light Chain in Multiple Sclerosis.Frontiers in neuroscience · 2021Review
Corrections and comments
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Authors and funding
3 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Axonal degeneration is a major determinant of permanent neurological impairment during multiple sclerosis (MS). Due to the variable course of clinical disease and the heterogeneity of MS lesions, the mechanisms governing axonal degeneration may differ between disease stages. While the etiology of MS remains elusive, there now exist potential prognostic biomarkers that can predict the conversion to clinically definite MS. Specialized imaging techniques identifying axonal injury and drop-out are becoming established in clinical practice as a predictive measure of MS progression, such as optical coherence tomography (OCT) or diffusion tensor imaging (DTI). However, these imaging techniques are still being debated as predictive biomarkers since controversy surrounds their lesion-specific association with expanded disability status scale (EDSS). A more promising diagnostic measure of axonal degeneration has been argued for the detection of reduced N-acetyl aspartate (NAA) and Creatine ratios via magnetic resonance spectroscopic (MRS) imaging, but again fail with its specificity for predicting actual axonal degeneration. Greater accuracy of predictive biomarkers is therefore warranted and may include CSF neurofilament light chain (NF-L) and neurofilament heavy chain (NF-H) levels, for progressive MS. Furthermore, defining the molecular mechanisms that occur during the neurodegenerative changes in the various subgroups of MS may in fact prove vital for the future development of efficacious neuroprotective therapies. The clinical translation of a combined Na+ and Ca2+ channel blocker may lead to the establishment of a bona fide neuroprotective agent for the treatment of progressive MS. However, more specific therapeutic targets to limit axonal damage in MS need investigation and may include such integral axonal proteins such as the collapsin response mediator protein-2 (CRMP-2), a molecule which upon post-translational modification may propagate axonal degeneration in MS. In this review, we discuss the current clinical determinants of axonal damage in MS and consider the cellular and molecular mechanisms that may initiate these neurodegenerative changes. In particular we highlight the therapeutic candidates that may formulate novel therapeutic strategies to limit axonal degeneration and EDSS during progressive MS.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.