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Enregistrement W2793510233 · doi:10.1097/wno.0000000000000631

Multiple Sclerosis: Eyes on the Future

2018· review· en· W2793510233 sur OpenAlex
Fiona Costello, Jodie Burton

Pourquoi ce travail est dans la base

Une base qui oublie comment elle a trouvé un travail ne peut pas être vérifiée. Voici les voies qui ont admis celui-ci.

affAu moins un auteur déclare une institution canadienne dans l'instantané OpenAlex épinglé.

Notice bibliographique

RevueJournal of Neuro-Ophthalmology · 2018
Typereview
Langueen
DomaineMedicine
ThématiqueMultiple Sclerosis Research Studies
Établissements canadiensFoothills Medical Centre
Organismes subventionnairesnon disponible
Mots-clésMultiple sclerosisGlatiramer acetateDiseaseMedicineIntensive care medicineNeurosciencePersonalized medicineBioinformaticsPathologyPsychologyImmunologyBiology

Résumé

récupéré en direct d'OpenAlex

In an inaugural segment for 2018, the Journal of Neuro-Ophthalmology will feature multiple sclerosis (MS) at its “Disease of the Year.” With a series of articles over the course of the year, we will highlight current challenges and pivotal discoveries in the field of MS, which are of particular relevance to clinicians who care for these patients. “Disease of the Year” will include a review of pathogenic mechanisms of central nervous system (CNS) injury and repair that are believed to underpin MS-related disability, and highlight the emerging role of the visual system as a model of CNS injury in this disease. We will provide an overview of the current therapeutic landscape in MS, which has evolved from a limited array of interferon agents and glatiramer acetate, to a contemporary arena in which oral, intravenous, and injectable drugs are available. We will explore novel biomarkers being used to track MS-related disease activity and progression, with specific emphasis on advancements in neurophysiology and ocular imaging techniques spearheaded by vision scientists and neuro-ophthalmologists. Finally, we will cast a glance to the horizon and discuss ongoing efforts to make personalized medicine a reality. In this rapidly evolving framework, patients with MS will be stratified based on clinical, radiological, and immunological parameters and, accordingly, treatments will be tailored to meet increasingly ambitious standards of disease control. MS traditionally is viewed as an immune-mediated disease of unknown cause, characterized by both inflammatory and neurodegenerative processes within the CNS (1). Affecting 2.5 million individuals worldwide, MS is recognized as a leading cause of nontraumatic neurological disability in young adults (1,2). The toll of MS on affected individuals and, indeed, society as a whole is formidable. The lifetime cost per patient with MS is estimated to be approximately $4,000,000, with prescription drugs and indirect expenditures driving the burden of this disease (2). The relatively hefty “price tag” of MS-related care catapults this condition up the ranks, placing second to congestive heart failure in terms medical costs related to chronic conditions (2). Aside from economic hardship, patients with MS bear additional burdens related to reduced quality of life and psychosocial disenfranchisement, which are amplified as their disease, and in turn disability, progress over time. Most MS therapies target CNS inflammation, yet it is unclear how efficacious current agents are at halting neurodegeneration and, consequently, disability, which may be driven in part by noninflammatory mechanisms. Presently, there is only one FDA-approved medication for progressive MS: ocrelizumab. Even in this progressive MS subgroup, however, treatment-response seems to be driven by progressive patients with evidence of active inflammation (3). The pathologic “signature” of MS is the sclerotic plaque or “la sclérose en plaques” as originally coined by Charcot in 1868 (4). This finding is believed to represent the cumulative effects of inflammation, demyelination, remyelination, oligodendrocyte depletion, astrocytosis, axonal damage, and neuronal loss affecting white and gray matter CNS structures (1). It comes as no surprise that in a condition characterized by chronic and fulminant forms with a wide-ranging phenotypic expression, several pathogenic mechanisms (and combinations thereof) are believed to govern MS-related disability including CNS inflammation as the main pathogenic event; neurodegeneration as the primary CNS pathological event (with inflammation as a secondary response); CNS inflammation and neurodegeneration occurring in concert; and CNS inflammation triggering an intrinsic neurodegenerative susceptibility in a vulnerable host (1). There is ongoing debate about whether MS is predominantly an inflammatory process caused by the migration of autoreactive T cells crossing the blood–brain barrier from the systemic circulation because of an instigating event perpetrated outside the CNS (outside-in model), or a primarily cytodegenerative process involving the oligodendrocyte–myelin complex, with inflammation occurring as a secondary response (inside-out model) (1,5). The deleterious impact of subclinical activity is well recognized in MS, yet conventional tools used to follow these patients are often insensitive to this activity. MRI has long been viewed as the “gold standard” for the diagnosis of MS, yet there is a dissociation between clinical disability and radiological disease burden as depicted by standard MRI techniques, referred to as “clinical-radiological paradox” (6). Currently, novel MRI techniques better able to detect brain and thalamic atrophy, and diffusion tensor imaging are not part of conventional patient evaluation. Moreover, the Kurtzke Expanded Disability Status Scale (EDSS), which was designed as a research tool, is commonly used to quantify neurological disability among patients with MS. Yet, the EDSS is heavily biased by pyramidal tract dysfunction and does not capture MS-related deficits that impact day-to-day function including cognitive impairment, sphincter dysfunction, and fatigue. In an effort to overcome the lack of biomarkers sensitive to detecting disease progression, MS specialists have attempted to redefine how treatment efficacy is measured with the “no evident disease activity” (NEDA) approach (7). In practice, NEDA-3 represents a composite of 3 measures of disease activity: no relapses; no disability progression; and no MRI activity (7). Although some studies have shown high rates of NEDA in the first years of disease-modifying therapy, long-term maintenance of NEDA in clinical practice remains a significant challenge (8,9). Even in patients with MS undergoing autologous hematopoietic stem cell transplantation, the pooled proportion of NEDA patients at 2 years was 83% (range 70%–92%) and at 5 years was 67% (range 59%–70%) (10). Recently, the outcome of minimal evident disease activity (MEDA) has been posited as a more realistic goal of treatment (9). It is likely that the definitions of NEDA/MEDA will evolve with technological advancements and in response to the practical realities of patient care. Future iterations and applications of NEDA will need to encompass patient-related outcome measures, focal gray matter disease activity, brain atrophy measures, and novel cerebrospinal fluid biomarkers (7). Currently, the overarching goal is to establish more aggressive targets for monitoring treatment outcomes in MS while keeping in mind the risk-to-benefit ratio in the management of any given patient. The field of neuro-ophthalmology has contributed to an evolving paradigm of CNS injury, which is modeled on the structure and function of the afferent visual pathway (1) (Fig. 1). Balcer et al (11) have shown that visual performance using low-contrast letter acuity correlates with quality of life measures and captures visual deficits that hinder day-to-day function of patients with MS. Klistorner et al (12) have demonstrated correlations between multifocal visual evoked potential latency delays and optical coherence tomography (OCT)–measured neuroaxonal injury after optic neuritis. Raz et al (13) have demonstrated that spatial visual function tests (high- and low-contrast letter acuity, standard automated perimetry, and color vision) normalize weeks to months after optic neuritis, yet motion perception remains impaired in the postacute phase. They also reported that deficits in motion perception correlate with the extent of visual evoked potential latency delay in patients with optic neuritis (14). Advances in OCT have been used to quantify structural changes within the inner retina, which reflect direct and trans-synaptic degeneration from lesions affecting the optic nerves, chiasm, tracts, and optic radiations. In an evolving body of work, OCT measurements of thinning of the retinal nerve fiber layer and ganglion cell layer in patients with MS have been shown to correlate with reduced quality of life measures, visual outcomes, brain atrophy, and global disability (15). Longitudinal OCT studies have shown that inner retinal thinning may manifest as an early phenomenon in MS, and that, loss of neuraxonal integrity in the afferent visual pathway may occur as a consequence of, but also independent of, clinical episodes of optic neuritis (15). There are data to suggest that MS disease–modifying therapies may influence OCT-determined rates of retinal atrophy, thus supporting a potential role for OCT in monitoring the neuroprotective benefits of established and emerging MS therapies (15).Fig. 1.: Schema of clinical modalities for evaluating structure and function of the afferent visual pathways in patients with multiple sclerosis. HVF, Humphrey visual field; mfERG, multifocal electroretinogram; mfVEP, multifocal visual evoked potential; ONHC, optic nerve head component; RNFL, retinal nerve fiber layer; VEP, visual evoked potential. Courtesy of Elliot Frohman, MD, Austin, TX.A paradigm shift is underway in the field of MS, both in terms of how the disease is diagnosed and distinguished from other demyelinating disorders and how treatment targets are being defined in a patient-centered model of care. The search for easily accessed prognostic biomarkers continues, with growing evidence to support neurofilament assays (16), as well as novel MRI techniques (17,18). In addition, OCT-measured thinning of the retinal nerve fiber layer and ganglion cell layer continue to show a robust correlation with degenerative changes on MRI and clinical measures of disability in MS (19). A significant discovery in recent years has been the identification of myelin–oligodendrocyte glycoprotein (MOG) antibody-positive and aquaporin-4 antibody–negative demyelinating disease. This discovery is changing the clinical approach to investigating cases of recurrent optic neuritis. Unlike aquaporin-4–seropositive patients with neuromyelitis optica spectrum disorder, MOG antibody-positive patients are typically more steroid sensitive, less likely to relapse, and more gender balanced (20). Yet, patients with MOG are at risk for recurrent disease. Therefore, early treatment with prednisone with consideration of immunosuppression is becoming the mainstay of care (20). Neuro-ophthalmologists are positioned to play an integral role in better distinguishing clinical syndromes such as MS optic neuritis from NMOSD optic neuritis and MOG optic neuritis. Specifically, neuro-ophthalmologists have a unique perspective because they understand the limitations of relying on structural and functional tests of the visual pathway in the absence of a thorough clinical examination. The diagnosis of MS and the biomarkers that assist in that endeavor continue to improve, with prognosis and treatment options growing more personalized as we better identify the range of molecular targets that impact this disease. As “custodians” of the visual system, neuro-ophthalmologists have an important role to play in the increasingly holistic, multidisciplinary approach to managing MS, and improving the lives of these patients.

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.

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)0,001
score de la tête « metaresearch » (Gemma)0,005
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMéta-épidémiologie (sens strict), Intégrité de la recherche
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: aucune
GenreSignal candidat: Synthèse · Signal consensuel: Synthèse
Score de désaccord entre enseignants0,647
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0010,005
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0030,002
Bibliométrie0,0010,001
Études des sciences et des technologies0,0000,001
Communication savante0,0000,000
Science ouverte0,0010,000
Intégrité de la recherche0,0010,003
Charge utile insuffisante (le modèle a refusé de juger)0,0010,000

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 Opus0,229
Tête enseignante GPT0,398
Écart entre enseignants0,169 · 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