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Record W4407149169 · doi:10.3389/fneur.2025.1550152

Editorial: Neuroplasticity in multiple sclerosis

2025· editorial· en· W4407149169 on OpenAlexaff
Yavor Yalachkov, Soheila Karimi‐Abdolrezaee, Eleonora Tavazzi

Bibliographic record

VenueFrontiers in Neurology · 2025
Typeeditorial
Languageen
FieldMedicine
TopicMedical and Biological Ozone Research
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsRemyelinationNeuroscienceNeuroplasticityNeuroinflammationMultiple sclerosisContext (archaeology)MedicineNeurodegenerationCentral nervous systemDiseaseNeuroprotectionPsychologyMyelinBiologyPathologyImmunology

Abstract

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Although the efficacy of currently available disease modifying therapies is indisputable, their effectiveness on both CNS-intrinsic neuroinflammation, neurodegeneration and neural repair is far from satisfactory. While MS symptoms can be treated, there are minimal treatment strategies to revert neurological disability or to effectively prevent gradual, relapse-independent disability accumulation (PIRA, progression independent of relapse activity). In this context, one of the main unmet needs is a better understanding of both the mechanisms driving progressive tissue loss, and the neuroplastic processes that attempt to compensate for the functional and structural tissue damage. Several studies have explored the pathways that regulate recovery from relapses and the processes that might be responsible for reverting disability progression. Investigating pharmacological and non-pharmacological interventions that facilitate remyelination and brain reorganization has resulted in several promising approaches. While neuroplasticity can be described as a general term addressing the ability of the nervous system to adapt and modify both its structure and function in response to stimuli and experience, in this topic focused on the neuroplasticity of the central nervous system (CNS) in patients with MS and animal models of MS. We were particularly interested which molecular mechanisms determine clinical improvement after CNS demyelination; how the potential of the respective neuroplasticity processes can be measured -in both clinical and imaging/laboratory terms; which molecules or processes might serve as protective factors against demyelination or facilitate more efficient recovery; and last but not least whether immune therapies differ in their remyelination potential and how it can be maximized.One less known but apparently already gaining attention non-pharmacological intervention in MS is photobiomodulation. Filho et al. systematically reviewed the evidence for the neuroprotective effects of this intervention. They were able to show that photobiomodulation affects CNS markers linked to inflammation, oxidative stress, and apoptosis. This method demonstrated also some improvements in motor, sensory, and cognitive functions in MS patients. Importantly, no study reported adverse effects. Thus, although the evidence seems currently limited, future exploration of photobiomodulation e.g. as a part of rehabilitation programmes seems warranted.Another important contribution to the topic of rehabilitation and plasticity in MS was reported by Petracca et al. Here, MS patients were assigned to either a 6-week telerehabilitation or a 6-week onsite rehabilitation. The entire sample benefited from the treatments, with significant improvements observed at both group and individual levels across all measured domains (quality of life, fatigue, information processing speed, balance). Thus, telerehabilitation seems to be at least as powerful a tool as onsite rehabilitation and this might apply for most of the patients -in this study, the cohort covered a broad range of physical disability (EDSS ranging from 2 to 6.5).Michelle Maiworm systematically reviewed the evidence for the role of brain-derived neurotrophic factor (BDNF) in neuroprotection and neuroplasticity. The author concluded that the current evidence remains inconclusive. There seems to be some beneficial effect of BDNF in MS, as studies reporting positive effects outweighed studies assuming detrimental effects of BDNF. Furthermore, studies regarding the Val66Met polymorphism have not conclusively determined whether this is a protective or harmful factor in MS. Most studies hypothesized a protective effect through modulation of BDNF secretion and anti-inflammatory effects with different effects in healthy controls and patients with MS, possibly due to the pro-inflammatory milieu in MS.Cuprizone mouse model of experimental autoimmune encephalomyelitis. In Cuprizone-treated mice, application of IL-22 significantly improved motor and behavioural performance and robustly promoted remyelination in the corpus callosum. Additionally, IL-22 administration led to a significant elevation in myelin basic protein (MBP) transcription. Thus, the authors suggested a role for IL-22 in the pathophysiology of MS, particularly in supporting the process of remyelination.Balloff et al. employed transcranial magnetic stimulation (TMS) and in particular the application of quadripulse stimulation to study the predictive value of synaptic plasticity for functional decline in MS. This method is known for its ability to induce both long-term potentiation and depression (LTP and LTD) in healthy subjects. The investigated patient cohort showed no clinically relevant change in any functional outcome over the observation period. However, MS patients who experienced clinically relevant decline in manual dexterity and/or visuospatial learning and memory had significantly lower levels of synaptic plasticity at baseline compared to those without such decline. Similar results were achieved also for visuospatial learning and memory. Thus, individual variability in plasticity might be relevant for the functional outcome over time.Martin & Schneider focused in a mini-review on the role of physical exercise in promoting antiinflammatory and neuroprotective effects in MS. Overall, they concluded that exercise intervention studies conducted in mice models of MS are promising, in particular aerobic and strength training regimes in terms of delaying disease onset and reducing the disease severity. They note that while in animal models of MS, most exercise interventions begin before disease initiation and before any clinical sign of disease, studies in humans recruit participants on average nearly a decade after diagnosis and often once disability is established. Thus, intervention studies in early disease cohorts are necessary to estimate the true effect of exercise on the disease course in MS.The current Research Topic included various approaches and different types of articles which broadened our understanding of this important process in MS. We firmly believe that only through channelling these efforts and their findings we are able to better understand and give a global and adequate overview of the different methods, approaches and fields which are active in the study of neuroplasticity in MS.

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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)0.004
metaresearch head score (Gemma)0.014
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Editorial · Consensus signal: Editorial
Teacher disagreement score0.016
Threshold uncertainty score0.053

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.014
Meta-epidemiology (narrow)0.0050.001
Meta-epidemiology (broad)0.0040.003
Bibliometrics0.0030.001
Science and technology studies0.0030.003
Scholarly communication0.0050.005
Open science0.0050.001
Research integrity0.0140.017
Insufficient payload (model declined to judge)0.0160.013

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 head0.027
GPT teacher head0.277
Teacher spread0.250 · 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 designNot applicable
Domainnot available
GenreEditorial

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".

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Citations0
Published2025
Admission routes1
Has abstractyes

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