4 results on '"Yaldizli Ö"'
Search Results
2. Association of Spinal Cord Atrophy and Brain Paramagnetic Rim Lesions With Progression Independent of Relapse Activity in People With MS.
- Author
-
Cagol A, Benkert P, Melie-Garcia L, Schaedelin SA, Leber S, Tsagkas C, Barakovic M, Galbusera R, Lu PJ, Weigel M, Ruberte E, Radue EW, Yaldizli Ö, Oechtering J, Lorscheider J, D'Souza M, Fischer-Barnicol B, Müller S, Achtnichts L, Vehoff J, Disanto G, Findling O, Chan A, Salmen A, Pot C, Bridel C, Zecca C, Derfuss T, Lieb JM, Remonda L, Wagner F, Vargas MI, Du Pasquier RA, Lalive PH, Pravatà E, Weber J, Cattin PC, Absinta M, Gobbi C, Leppert D, Kappos L, Kuhle J, and Granziera C
- Subjects
- Humans, Female, Child, Male, Cohort Studies, Cross-Sectional Studies, Brain diagnostic imaging, Chronic Disease, Multiple Sclerosis, Multiple Sclerosis, Chronic Progressive diagnostic imaging
- Abstract
Background and Objectives: Progression independent of relapse activity (PIRA) is a crucial determinant of overall disability accumulation in multiple sclerosis (MS). Accelerated brain atrophy has been shown in patients experiencing PIRA. In this study, we assessed the relation between PIRA and neurodegenerative processes reflected by (1) longitudinal spinal cord atrophy and (2) brain paramagnetic rim lesions (PRLs). Besides, the same relationship was investigated in progressive MS (PMS). Last, we explored the value of cross-sectional brain and spinal cord volumetric measurements in predicting PIRA., Methods: From an ongoing multicentric cohort study, we selected patients with MS with (1) availability of a susceptibility-based MRI scan and (2) regular clinical and conventional MRI follow-up in the 4 years before the susceptibility-based MRI. Comparisons in spinal cord atrophy rates (explored with linear mixed-effect models) and PRL count (explored with negative binomial regression models) were performed between: (1) relapsing-remitting (RRMS) and PMS phenotypes and (2) patients experiencing PIRA and patients without confirmed disability accumulation (CDA) during follow-up (both considering the entire cohort and the subgroup of patients with RRMS). Associations between baseline MRI volumetric measurements and time to PIRA were explored with multivariable Cox regression analyses., Results: In total, 445 patients with MS (64.9% female; mean [SD] age at baseline 45.0 [11.4] years; 11.2% with PMS) were enrolled. Compared with patients with RRMS, those with PMS had accelerated cervical cord atrophy (mean difference in annual percentage volume change [MD-APC] -1.41; p = 0.004) and higher PRL load (incidence rate ratio [IRR] 1.93; p = 0.005). Increased spinal cord atrophy (MD-APC -1.39; p = 0.0008) and PRL burden (IRR 1.95; p = 0.0008) were measured in patients with PIRA compared with patients without CDA; such differences were also confirmed when restricting the analysis to patients with RRMS. Baseline volumetric measurements of the cervical cord, whole brain, and cerebral cortex significantly predicted time to PIRA (all p ≤ 0.002)., Discussion: Our results show that PIRA is associated with both increased spinal cord atrophy and PRL burden, and this association is evident also in patients with RRMS. These findings further point to the need to develop targeted treatment strategies for PIRA to prevent irreversible neuroaxonal loss and optimize long-term outcomes of patients with MS.
- Published
- 2024
- Full Text
- View/download PDF
3. Serum neurofilament is associated with progression of brain atrophy and disability in early MS.
- Author
-
Kuhle J, Nourbakhsh B, Grant D, Morant S, Barro C, Yaldizli Ö, Pelletier D, Giovannoni G, Waubant E, and Gnanapavan S
- Subjects
- Adjuvants, Immunologic therapeutic use, Adult, Atrophy, Biomarkers blood, Brain drug effects, Disability Evaluation, Disease Progression, Drug Therapy, Combination, Female, Follow-Up Studies, Humans, Interferon beta-1a therapeutic use, Magnetic Resonance Imaging, Male, Multiple Sclerosis, Relapsing-Remitting drug therapy, Multiple Sclerosis, Relapsing-Remitting psychology, Neuroprotective Agents therapeutic use, Neuropsychological Tests, Organ Size, Riluzole therapeutic use, Treatment Outcome, Brain diagnostic imaging, Multiple Sclerosis, Relapsing-Remitting diagnostic imaging, Multiple Sclerosis, Relapsing-Remitting physiopathology, Neurofilament Proteins blood
- Abstract
Objective: To investigate a potential effect of riluzole on serum neurofilaments (Nf) compared to placebo and the relationship between longitudinal clinical and MRI outcomes and serum Nf levels., Methods: Serum samples were obtained from participants enrolled in a randomized double-blind trial of neuroprotection with riluzole vs placebo as an add-on to weekly interferon-β (IFN-β)-1a IM initiated 3 months after randomization. Nf measurements were performed by ELISA and electrochemiluminescence immunoassay., Results: Longitudinal serum samples were available from 22 riluzole and 20 placebo participants over 24 months. There was no observed treatment effect with riluzole. Nf light chain (NfL) levels decreased over time ( p = 0.007 at 24 months), whereas the Nf heavy chain was unchanged ( p = 0.997). Changes in NfL were correlated with EDSS change ( p = 0.009) and neuropsychological outcomes. Brain volume decreased more rapidly in patients with high baseline NfL ( p = 0.05 at 12 months and p = 0.008 at 24 months) and this relationship became stronger at 24 months ( p = 0.024 for interaction). Higher and increasing NfL predicted higher number of gadolinium-enhancing lesions ( p < 0.001 for both)., Conclusions: Our findings support the potential value of serum NfL as a marker of neuroaxonal injury in early multiple sclerosis. Its reduction over time could represent regression to the mean, or a possible treatment effect of IFN-β-1a. The association with whole brain atrophy and the formation of acute white matter lesions has relevant implications to use serum NfL as a noninvasive biomarker of the overall consequences of brain damage and ongoing disease activity., Clinicaltrialsgov Identifier: NCT00501943., (© 2017 American Academy of Neurology.)
- Published
- 2017
- Full Text
- View/download PDF
4. Motor network efficiency and disability in multiple sclerosis.
- Author
-
Pardini M, Yaldizli Ö, Sethi V, Muhlert N, Liu Z, Samson RS, Altmann DR, Ron MA, Wheeler-Kingshott CA, Miller DH, and Chard DT
- Subjects
- Adult, Brain physiopathology, Diffusion Tensor Imaging, Female, Humans, Male, Middle Aged, Multiple Sclerosis, Relapsing-Remitting physiopathology, Nerve Net physiopathology, Brain pathology, Magnetic Resonance Imaging methods, Motor Activity physiology, Multiple Sclerosis, Relapsing-Remitting pathology, Nerve Net pathology, Severity of Illness Index
- Abstract
Objective: To develop a composite MRI-based measure of motor network integrity, and determine if it explains disability better than conventional MRI measures in patients with multiple sclerosis (MS)., Methods: Tract density imaging and constrained spherical deconvolution tractography were used to identify motor network connections in 22 controls. Fractional anisotropy (FA), magnetization transfer ratio (MTR), and normalized volume were computed in each tract in 71 people with relapse onset MS. Principal component analysis was used to distill the FA, MTR, and tract volume data into a single metric for each tract, which in turn was used to compute a composite measure of motor network efficiency (composite NE) using graph theory. Associations were investigated between the Expanded Disability Status Scale (EDSS) and the following MRI measures: composite motor NE, NE calculated using FA alone, FA averaged in the combined motor network tracts, brain T2 lesion volume, brain parenchymal fraction, normal-appearing white matter MTR, and cervical cord cross-sectional area., Results: In univariable analysis, composite motor NE explained 58% of the variation in EDSS in the whole MS group, more than twice that of the other MRI measures investigated. In a multivariable regression model, only composite NE and disease duration were independently associated with EDSS., Conclusions: A composite MRI measure of motor NE was able to predict disability substantially better than conventional non-network-based MRI measures., (© 2015 American Academy of Neurology.)
- Published
- 2015
- Full Text
- View/download PDF
Catalog
Discovery Service for Jio Institute Digital Library
For full access to our library's resources, please sign in.