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Raghib MF, Bao F, Elkhooly M, Bernitsas E. Choroid plexus volume as a marker of retinal atrophy in relapsing remitting multiple sclerosis. J Neurol Sci 2024; 457:122884. [PMID: 38237367 DOI: 10.1016/j.jns.2024.122884] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2023] [Revised: 01/07/2024] [Accepted: 01/09/2024] [Indexed: 02/17/2024]
Abstract
OBJECTIVE To evaluate choroid plexus (CP) volume as a biomarker for predicting clinical disability and retinal layer atrophy in relapsing remitting multiple sclerosis (RRMS). METHODS Ninety-five RRMS patients and 26 healthy controls (HCs) underwent 3 T whole brain MRI, expanded disability status scale (EDSS) and optical coherence tomography (OCT). Fully automated intra-retinal segmentation was performed to obtain the volumes of the retinal nerve fiber layer (RNFL), combined ganglion cell layer -inner plexiform layer (GCIPL), inner nuclear layer (INL), outer plexiform layer (OPL), outer nuclear layer (ONL), retinal pigment epithelium (RPE), total macular volume (TMV) and papillomacular bundle (PMB). Automated segmentation of the CP within the lateral ventricles was performed and the choroid plexus volume (CPV) was normalized by total intracranial volume (TIV). Linear regression analysis and generalized estimating equation (GEE) models were applied to evaluate relationships between nCPV and EDSS, T2 lesion volume, disease duration, and retinal layer volumes, followed by Bonferroni correction analysis for multiple comparisons. RESULTS RRMS patients had larger tChPV compared to HCs (p < 0.001). After Bonferroni correction, there was a significant positive correlation between tChPV and EDSS (r2 = 0.25, p = 0.0002), disease duration (r2 = 0.30, p = 0.01), and T2 lesion volume (r2 = 0.39, p = 0.0000). A robust negative correlation was found between tChPV and RNFL (p < 0.001), GCIPL (p = 0.003), TMV (p = 0.0185), PMB (p < 0.0001), G (p = 0.04), T(p = 0.0001). CONCLUSIONS Our findings support the association of tChPV with disability and altered retinal integrity in RRMS.
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Affiliation(s)
- Muhammad F Raghib
- Department of Neurology, Wayne State University School of Medicine, United States of America
| | - Fen Bao
- Department of Neurology, Wayne State University School of Medicine, United States of America
| | - Mahmoud Elkhooly
- Department of Neurology, Wayne State University School of Medicine, United States of America; Department of Neurology, Southern Illinois University School of Medicine, Springfield, IL, United States of America; Department of Neurology and Psychiatry, Minia University, Minia, Egypt
| | - Evanthia Bernitsas
- Department of Neurology, Wayne State University School of Medicine, United States of America; Detroit Medical Center, Detroit, MI, United States of America.
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Mirmosayyeb O, Yazdan Panah M, Mokary Y, Ghaffary EM, Ghoshouni H, Zivadinov R, Weinstock-Guttman B, Jakimovski D. Optical coherence tomography (OCT) measurements and disability in multiple sclerosis (MS): A systematic review and meta-analysis. J Neurol Sci 2023; 454:120847. [PMID: 37924591 DOI: 10.1016/j.jns.2023.120847] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2023] [Revised: 09/28/2023] [Accepted: 10/18/2023] [Indexed: 11/06/2023]
Abstract
BACKGROUND Studies have demonstrated that people with multiple sclerosis (pwMS) experience visual impairments and neurodegenerative retinal processes. The disability progression in pwMS may be associated with retinal changes assessed with optical coherence tomography (OCT). This meta-analysis aims at synthesizing the correlations between OCT measurements of disability in pwMS. METHODS We systematically searched four databases (PubMed/MEDLINE, Embase, Scopus, and Web of Science) from inception to November 2022, then conducted a meta-analysis using a random effects model to determine the pooled correlation coefficient(r) between OCT measurements and disability scales by R version 4.2.3 with the meta version 6.2-1 package. RESULTS From 3129 studies, 100 studies were included. Among 9051 pwMS, the female-to-male ratio was 3.15:1, with a mean age of 39.57 ± 6.07 years. The mean disease duration and Expanded Disability Status Scale (EDSS) were 8.5 ± 3.7 and 2.7 ± 1.1, respectively. Among the pooled subgroup analyses, macular ganglion cell inner plexiform layer (mGCIPL) in patients with relapsing-remitting (pwRRMS) and peripapillary retinal nerve fiber layer (pRNFL) in patients with progressive MS (pwPMS) had strong correlations with EDSS, r = -0.33 (95% CI: -0.45 to -0.20, I2 = 45%, z-score = -4.86, p < 0.001) and r = -0.20 (95% CI:-0.58 to 0.26, I2 = 76%, z-score = -0.85, p = 0.395), respectively. According to subgroup analysis on pwMS without optic neuritis (ON) history, the largest correlation was seen between EDSS and macular ganglion cell complex (mGCC): r = -0.39 (95% CI: -0.70 to 0.04, I2 = 79%, z-score = -1.79, p = 0.073). CONCLUSION OCT measurements are correlated with disability in pwMS, and they can complement the comprehensive neurological visit as an additional paraclinical test.
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Affiliation(s)
- Omid Mirmosayyeb
- Department of Neurology, Jacobs Comprehensive MS Treatment and Research Center, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY, USA
| | - Mohammad Yazdan Panah
- Isfahan Neurosciences Research Center, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Yousef Mokary
- Isfahan Neurosciences Research Center, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Elham Moases Ghaffary
- Isfahan Neurosciences Research Center, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Hamed Ghoshouni
- Isfahan Neurosciences Research Center, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Robert Zivadinov
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, 100 High Street, Buffalo, NY 14203, USA; Center for Biomedical Imaging at the Clinical Translational Science Institute, University at Buffalo, State University of New York, Buffalo, NY, USA
| | - Bianca Weinstock-Guttman
- Department of Neurology, Jacobs Comprehensive MS Treatment and Research Center, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY, USA
| | - Dejan Jakimovski
- Department of Neurology, Jacobs Comprehensive MS Treatment and Research Center, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY, USA; Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, 100 High Street, Buffalo, NY 14203, USA.
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Ehrhardt H, Lambe J, Moussa H, Vasileiou ES, Kalaitzidis G, Murphy OC, Filippatou AG, Pellegrini N, Douglas M, Davis S, Nagy N, Quiroga A, Hu C, Zambriczki Lee A, Duval A, Fitzgerald KC, Prince JL, Calabresi PA, Sotirchos ES, Bermel R, Saidha S. Effects of Ibudilast on Retinal Atrophy in Progressive Multiple Sclerosis Subtypes: Post Hoc Analyses of the SPRINT-MS Trial. Neurology 2023; 101:e1014-e1024. [PMID: 37460235 PMCID: PMC10491449 DOI: 10.1212/wnl.0000000000207551] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2022] [Accepted: 05/08/2023] [Indexed: 09/06/2023] Open
Abstract
BACKGROUND AND OBJECTIVES Ganglion cell + inner plexiform layer (GCIPL) thinning, measured by optical coherence tomography (OCT), reflects global neurodegeneration in multiple sclerosis (MS). Atrophy of the inner (INL) and outer nuclear layer (ONL) may also be prominent in progressive MS (PMS). The phase 2, SPRINT-MS trial found reduced brain atrophy with ibudilast therapy in PMS. In this post hoc analysis of the SPRINT-MS trial, we investigate (1) retinal atrophy (2) differences in response by subtype and (3) associations between OCT and MRI measures of neurodegeneration. METHODS In the multicenter, double-blind SPRINT-MS trial, participants with secondary progressive MS (SPMS) or primary progressive MS (PPMS) were randomized to ibudilast or placebo. OCT and MRI data were collected every 24 weeks for 96 weeks. Extensive OCT quality control and algorithmic segmentation produced consistent results across Cirrus HD-OCT and Spectralis devices. Primary endpoints were GCIPL, INL, and ONL atrophy, assessed by linear mixed-effects regression. Secondary endpoints were associations of OCT measures, brain parenchymal fraction, and cortical thickness, assessed by partial Pearson correlations. RESULTS One hundred thirty-four PPMS and 121 SPMS participants were included. GCIPL atrophy was 79% slower in the ibudilast (-0.07 ± 0.23 µm/y) vs placebo group (-0.32 ± 0.20 µm/y, p = 0.003). This effect predominated in the PPMS cohort (ibudilast: -0.08 ± 0.29 µm/y vs placebo: -0.60 ± 0.29 µm/y, a decrease of 87%, p < 0.001) and was not detected in the SPMS cohort (ibudilast: -0.21 ± 0.28 µm/y vs placebo: -0.14 ± 0.27 µm/y, p = 0.55). GCIPL, INL, and ONL atrophy rates correlated with whole brain atrophy rates across the cohort (r = 0.27, r = 0.26, and r = 0.20, respectively; p < 0.001). Power calculations from these data show future trials of similar size and design have ≥80% power to detect GCIPL atrophy effect sizes of approximately 40%. DISCUSSION Ibudilast treatment decreased GCIPL atrophy in PMS, driven by the PPMS cohort, with no effect seen in SPMS. Modulated atrophy of retinal layers may be detectable in sample sizes smaller than the SPRINT-MS trial and correlate with whole brain atrophy in PMS, further highlighting their utility as outcomes in PMS. CLASSIFICATION OF EVIDENCE This study provides Class II evidence that ibudilast reduces composite ganglion cell + inner plexiform layer atrophy, without reduction of inner or outer nuclear layer atrophy, in patients with primary progressive MS but not those with secondary progressive MS.
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Affiliation(s)
- Henrik Ehrhardt
- From the Department of Neurology (H.E., J.L., H.M., E.S.V., G.K., O.C.M., A.G.F., N.P., M.D., S.D., N.N., A.Q., C.H., A.Z.L., A.D., K.C.F., P.A.C., E.S.S., S.S.), Johns Hopkins University School of Medicine; Department of Electrical and Computer Engineering (J.L.P.), Johns Hopkins University, Baltimore, MD; and Mellen Center for Multiple Sclerosis (R.B.), Cleveland Clinic, OH
| | - Jeffrey Lambe
- From the Department of Neurology (H.E., J.L., H.M., E.S.V., G.K., O.C.M., A.G.F., N.P., M.D., S.D., N.N., A.Q., C.H., A.Z.L., A.D., K.C.F., P.A.C., E.S.S., S.S.), Johns Hopkins University School of Medicine; Department of Electrical and Computer Engineering (J.L.P.), Johns Hopkins University, Baltimore, MD; and Mellen Center for Multiple Sclerosis (R.B.), Cleveland Clinic, OH
| | - Hussein Moussa
- From the Department of Neurology (H.E., J.L., H.M., E.S.V., G.K., O.C.M., A.G.F., N.P., M.D., S.D., N.N., A.Q., C.H., A.Z.L., A.D., K.C.F., P.A.C., E.S.S., S.S.), Johns Hopkins University School of Medicine; Department of Electrical and Computer Engineering (J.L.P.), Johns Hopkins University, Baltimore, MD; and Mellen Center for Multiple Sclerosis (R.B.), Cleveland Clinic, OH
| | - Eleni S Vasileiou
- From the Department of Neurology (H.E., J.L., H.M., E.S.V., G.K., O.C.M., A.G.F., N.P., M.D., S.D., N.N., A.Q., C.H., A.Z.L., A.D., K.C.F., P.A.C., E.S.S., S.S.), Johns Hopkins University School of Medicine; Department of Electrical and Computer Engineering (J.L.P.), Johns Hopkins University, Baltimore, MD; and Mellen Center for Multiple Sclerosis (R.B.), Cleveland Clinic, OH
| | - Grigorios Kalaitzidis
- From the Department of Neurology (H.E., J.L., H.M., E.S.V., G.K., O.C.M., A.G.F., N.P., M.D., S.D., N.N., A.Q., C.H., A.Z.L., A.D., K.C.F., P.A.C., E.S.S., S.S.), Johns Hopkins University School of Medicine; Department of Electrical and Computer Engineering (J.L.P.), Johns Hopkins University, Baltimore, MD; and Mellen Center for Multiple Sclerosis (R.B.), Cleveland Clinic, OH
| | - Olwen C Murphy
- From the Department of Neurology (H.E., J.L., H.M., E.S.V., G.K., O.C.M., A.G.F., N.P., M.D., S.D., N.N., A.Q., C.H., A.Z.L., A.D., K.C.F., P.A.C., E.S.S., S.S.), Johns Hopkins University School of Medicine; Department of Electrical and Computer Engineering (J.L.P.), Johns Hopkins University, Baltimore, MD; and Mellen Center for Multiple Sclerosis (R.B.), Cleveland Clinic, OH
| | - Angeliki G Filippatou
- From the Department of Neurology (H.E., J.L., H.M., E.S.V., G.K., O.C.M., A.G.F., N.P., M.D., S.D., N.N., A.Q., C.H., A.Z.L., A.D., K.C.F., P.A.C., E.S.S., S.S.), Johns Hopkins University School of Medicine; Department of Electrical and Computer Engineering (J.L.P.), Johns Hopkins University, Baltimore, MD; and Mellen Center for Multiple Sclerosis (R.B.), Cleveland Clinic, OH
| | - Nicole Pellegrini
- From the Department of Neurology (H.E., J.L., H.M., E.S.V., G.K., O.C.M., A.G.F., N.P., M.D., S.D., N.N., A.Q., C.H., A.Z.L., A.D., K.C.F., P.A.C., E.S.S., S.S.), Johns Hopkins University School of Medicine; Department of Electrical and Computer Engineering (J.L.P.), Johns Hopkins University, Baltimore, MD; and Mellen Center for Multiple Sclerosis (R.B.), Cleveland Clinic, OH
| | - Morgan Douglas
- From the Department of Neurology (H.E., J.L., H.M., E.S.V., G.K., O.C.M., A.G.F., N.P., M.D., S.D., N.N., A.Q., C.H., A.Z.L., A.D., K.C.F., P.A.C., E.S.S., S.S.), Johns Hopkins University School of Medicine; Department of Electrical and Computer Engineering (J.L.P.), Johns Hopkins University, Baltimore, MD; and Mellen Center for Multiple Sclerosis (R.B.), Cleveland Clinic, OH
| | - Simidele Davis
- From the Department of Neurology (H.E., J.L., H.M., E.S.V., G.K., O.C.M., A.G.F., N.P., M.D., S.D., N.N., A.Q., C.H., A.Z.L., A.D., K.C.F., P.A.C., E.S.S., S.S.), Johns Hopkins University School of Medicine; Department of Electrical and Computer Engineering (J.L.P.), Johns Hopkins University, Baltimore, MD; and Mellen Center for Multiple Sclerosis (R.B.), Cleveland Clinic, OH
| | - Natalia Nagy
- From the Department of Neurology (H.E., J.L., H.M., E.S.V., G.K., O.C.M., A.G.F., N.P., M.D., S.D., N.N., A.Q., C.H., A.Z.L., A.D., K.C.F., P.A.C., E.S.S., S.S.), Johns Hopkins University School of Medicine; Department of Electrical and Computer Engineering (J.L.P.), Johns Hopkins University, Baltimore, MD; and Mellen Center for Multiple Sclerosis (R.B.), Cleveland Clinic, OH
| | - Agustina Quiroga
- From the Department of Neurology (H.E., J.L., H.M., E.S.V., G.K., O.C.M., A.G.F., N.P., M.D., S.D., N.N., A.Q., C.H., A.Z.L., A.D., K.C.F., P.A.C., E.S.S., S.S.), Johns Hopkins University School of Medicine; Department of Electrical and Computer Engineering (J.L.P.), Johns Hopkins University, Baltimore, MD; and Mellen Center for Multiple Sclerosis (R.B.), Cleveland Clinic, OH
| | - Chen Hu
- From the Department of Neurology (H.E., J.L., H.M., E.S.V., G.K., O.C.M., A.G.F., N.P., M.D., S.D., N.N., A.Q., C.H., A.Z.L., A.D., K.C.F., P.A.C., E.S.S., S.S.), Johns Hopkins University School of Medicine; Department of Electrical and Computer Engineering (J.L.P.), Johns Hopkins University, Baltimore, MD; and Mellen Center for Multiple Sclerosis (R.B.), Cleveland Clinic, OH
| | - Alexandra Zambriczki Lee
- From the Department of Neurology (H.E., J.L., H.M., E.S.V., G.K., O.C.M., A.G.F., N.P., M.D., S.D., N.N., A.Q., C.H., A.Z.L., A.D., K.C.F., P.A.C., E.S.S., S.S.), Johns Hopkins University School of Medicine; Department of Electrical and Computer Engineering (J.L.P.), Johns Hopkins University, Baltimore, MD; and Mellen Center for Multiple Sclerosis (R.B.), Cleveland Clinic, OH
| | - Anna Duval
- From the Department of Neurology (H.E., J.L., H.M., E.S.V., G.K., O.C.M., A.G.F., N.P., M.D., S.D., N.N., A.Q., C.H., A.Z.L., A.D., K.C.F., P.A.C., E.S.S., S.S.), Johns Hopkins University School of Medicine; Department of Electrical and Computer Engineering (J.L.P.), Johns Hopkins University, Baltimore, MD; and Mellen Center for Multiple Sclerosis (R.B.), Cleveland Clinic, OH
| | - Kathryn C Fitzgerald
- From the Department of Neurology (H.E., J.L., H.M., E.S.V., G.K., O.C.M., A.G.F., N.P., M.D., S.D., N.N., A.Q., C.H., A.Z.L., A.D., K.C.F., P.A.C., E.S.S., S.S.), Johns Hopkins University School of Medicine; Department of Electrical and Computer Engineering (J.L.P.), Johns Hopkins University, Baltimore, MD; and Mellen Center for Multiple Sclerosis (R.B.), Cleveland Clinic, OH
| | - Jerry L Prince
- From the Department of Neurology (H.E., J.L., H.M., E.S.V., G.K., O.C.M., A.G.F., N.P., M.D., S.D., N.N., A.Q., C.H., A.Z.L., A.D., K.C.F., P.A.C., E.S.S., S.S.), Johns Hopkins University School of Medicine; Department of Electrical and Computer Engineering (J.L.P.), Johns Hopkins University, Baltimore, MD; and Mellen Center for Multiple Sclerosis (R.B.), Cleveland Clinic, OH
| | - Peter A Calabresi
- From the Department of Neurology (H.E., J.L., H.M., E.S.V., G.K., O.C.M., A.G.F., N.P., M.D., S.D., N.N., A.Q., C.H., A.Z.L., A.D., K.C.F., P.A.C., E.S.S., S.S.), Johns Hopkins University School of Medicine; Department of Electrical and Computer Engineering (J.L.P.), Johns Hopkins University, Baltimore, MD; and Mellen Center for Multiple Sclerosis (R.B.), Cleveland Clinic, OH
| | - Elias S Sotirchos
- From the Department of Neurology (H.E., J.L., H.M., E.S.V., G.K., O.C.M., A.G.F., N.P., M.D., S.D., N.N., A.Q., C.H., A.Z.L., A.D., K.C.F., P.A.C., E.S.S., S.S.), Johns Hopkins University School of Medicine; Department of Electrical and Computer Engineering (J.L.P.), Johns Hopkins University, Baltimore, MD; and Mellen Center for Multiple Sclerosis (R.B.), Cleveland Clinic, OH
| | - Robert Bermel
- From the Department of Neurology (H.E., J.L., H.M., E.S.V., G.K., O.C.M., A.G.F., N.P., M.D., S.D., N.N., A.Q., C.H., A.Z.L., A.D., K.C.F., P.A.C., E.S.S., S.S.), Johns Hopkins University School of Medicine; Department of Electrical and Computer Engineering (J.L.P.), Johns Hopkins University, Baltimore, MD; and Mellen Center for Multiple Sclerosis (R.B.), Cleveland Clinic, OH
| | - Shiv Saidha
- From the Department of Neurology (H.E., J.L., H.M., E.S.V., G.K., O.C.M., A.G.F., N.P., M.D., S.D., N.N., A.Q., C.H., A.Z.L., A.D., K.C.F., P.A.C., E.S.S., S.S.), Johns Hopkins University School of Medicine; Department of Electrical and Computer Engineering (J.L.P.), Johns Hopkins University, Baltimore, MD; and Mellen Center for Multiple Sclerosis (R.B.), Cleveland Clinic, OH.
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Ganapathy Subramanian R, Zivadinov R, Bergsland N, Dwyer MG, Weinstock-Guttman B, Jakimovski D. Multiple sclerosis optic neuritis and trans-synaptic pathology on cortical thinning in people with multiple sclerosis. J Neurol 2023:10.1007/s00415-023-11709-y. [PMID: 37067590 DOI: 10.1007/s00415-023-11709-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2023] [Revised: 03/31/2023] [Accepted: 04/05/2023] [Indexed: 04/18/2023]
Abstract
BACKGROUND The multi-order visual system represents an excellent testing site regarding the process of trans-synaptic degeneration. The presence and extent of global versus trans-synaptic neurodegeneration in people with multiple sclerosis (pwMS) is not clear. OBJECTIVE To explore cross-sectional and longitudinal relationships between retinal, thalamic and cortical changes in pwMS with and without MS-related optic neuritis (pwMSON and pwoMSON) using MRI and optical coherence tomography (OCT). METHODS 162 pwMS and 47 healthy controls (HCs) underwent OCT and brain MRI at baseline and 5.5-years follow-up. Peripapillary retinal nerve fiber layer (pRNFL) and macular ganglion cell inner plexiform layer (mGCIPL) thicknesses were determined. Global volume measures of brain parenchymal volume (BPV)/percent brain volume change (PBVC), thalamic volume and T2-lesion volume (LV) were derived using standard analysis protocols. Regional cortical thickness was determined using FreeSurfer. Cross-sectional and longitudinal relationship between the retinal measures, thalamic volume and cortical thickness were assessed using age, BPV/PBVC and T2-LV adjusted correlations and regressions. RESULTS After age, BPV and T2-LV adjustment, the thalamic volume explained additional variance in the thickness of pericalcarine (R2 increase of 0.066, standardized β = 0.299, p = 0.039) and lateral occipital (R2 increase of 0.024, standardized β = 0.299, p = 0.039) gyrii in pwMSON. In pwoMSON, the thalamic volume was a significant predictor only of control (frontal) regions of pars opercularis. There was no relationship between thalamic atrophy and cortical thinning over the follow-up in both pwMS with and without MSON. While numerically lower in the pwMSON group, the inter-eye difference was not able to predict the presence of MSON. CONCLUSIONS MSON can induce a measurable amount of trans-synaptic pathology on second-order cortical regions.
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Affiliation(s)
- Ranjani Ganapathy Subramanian
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, 100 High Street, Buffalo, NY, 14203, USA
| | - Robert Zivadinov
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, 100 High Street, Buffalo, NY, 14203, USA
- Center for Biomedical Imaging at the Clinical Translational Science Institute, University at Buffalo, State University of New York, Buffalo, NY, USA
| | - Niels Bergsland
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, 100 High Street, Buffalo, NY, 14203, USA
- IRCCS, Fondazione Don Carlo Gnocchi, Milan, Italy
| | - Michael G Dwyer
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, 100 High Street, Buffalo, NY, 14203, USA
| | - Bianca Weinstock-Guttman
- Department of Neurology, Jacobs Comprehensive MS Treatment and Research Center, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY, USA
| | - Dejan Jakimovski
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, 100 High Street, Buffalo, NY, 14203, USA.
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A prospective study of disease modifying therapy and retinal atrophy in relapsing-remitting multiple sclerosis. J Neurol Sci 2023; 446:120552. [PMID: 36774748 DOI: 10.1016/j.jns.2023.120552] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2022] [Revised: 12/30/2022] [Accepted: 01/09/2023] [Indexed: 01/20/2023]
Abstract
BACKGROUND To compare the rate of retinal atrophy over time in patients with relapsing-remitting multiple sclerosis (RRMS) treated with various disease-modifying therapies (DMT). METHODS Patients with RRMS on various DMT and those observed without treatment were prospectively enrolled into the study between September 2015 and June 2018. All subjects with follow-up of 1-4 years were included and categorized into groups as "no drug", "low efficacy drug", "high efficacy drug", or "dimethyl fumarate" (DMF), based on treatment modality used for the longest duration of their follow-up. Ocular coherence tomography (OCT) was used to measure peripapillary retinal nerve fiber layer thickness (RNFL) and ganglion cell/inner plexiform layer (GC-IPL) thickness at baseline and every 6 months. A linear mixed effects regression model was performed to compare rates of retinal atrophy across treatment groups. RESULTS Out of 67 participants who met inclusion criteria (mean age = 37; 76% female), 13 were untreated, 12 on low efficacy therapy, 18 on DMF, and 24 on high efficacy therapy. History of optic neuritis was associated with lower baseline GC-IPL thickness (p = 0.003). Higher baseline GC-IPL thickness was associated with increased rate of GC-IPL thinning (p = 0.009). Age, disease duration, and ethnicity were not predictors of baseline RNFL or GC-IPL thickness, or rate of atrophy of these layers. CONCLUSIONS There were no differences in rate of GC-IPL atrophy between patients with RRMS on different treatments in this cohort. Age, disease duration, and ethnicity also did not predict retinal atrophy. History of ON was associated with reduced GC-IPL thickness at baseline, consistent with previous research. Rate of GC-IPL thinning was higher for subjects with higher baseline GC-IPL thickness, suggesting a plateau effect.
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Torbus M, Niewiadomska E, Dobrakowski P, Papuć E, Rybus-Kalinowska B, Szlacheta P, Korzonek-Szlacheta I, Kubicka-Bączyk K, Łabuz-Roszak B. The Usefulness of Optical Coherence Tomography in Disease Progression Monitoring in Younger Patients with Relapsing-Remitting Multiple Sclerosis: A Single-Centre Study. J Clin Med 2022; 12:jcm12010093. [PMID: 36614893 PMCID: PMC9821099 DOI: 10.3390/jcm12010093] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2022] [Revised: 12/18/2022] [Accepted: 12/20/2022] [Indexed: 12/24/2022] Open
Abstract
The purpose of the study was to assess the usefulness of optical coherence tomography (OCT) in the detection of the neurodegenerative process in younger patients with multiple sclerosis (MS). The study group consisted of 61 patients with a relapsing remitting course of MS (mean age 36.4 ± 6.7 years) divided into two groups: short (≤5 years) and long (>10 years) disease duration. OCT, P300 evoked potential, Montreal Cognitive Assessment, and performance subtests (Picture Completion and Digit Symbol) of the Wechsler Adult Intelligence Scale were performed in all patients. Mean values of most parameters assessed in OCT (pRNFL Total, pRNFL Inferior, pRNFL Superior, pRNFL Temporalis, mRNFL, GCIPL, mRNFL+GCIPL) were significantly lower in MS patients in comparison to controls. And in patients with longer disease duration in comparison to those with shorter. Most OCT parameters negatively correlated with the EDSS score (p < 0.05). No significant correlation was found between OCT results and both P300 latency and the results of psychometric tests. OCT, as a simple, non-invasive, quick, and inexpensive method, could be useful for monitoring the progression of disease in MS patients.
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Affiliation(s)
- Magdalena Torbus
- Institute of Psychology, Humanitas University in Sosnowiec, 41-200 Sosnowiec, Poland
| | - Ewa Niewiadomska
- Department of Biostatistics, Faculty of Health Sciences in Bytom, Medical University of Silesia, 40-055 Katowice, Poland
| | - Paweł Dobrakowski
- Institute of Psychology, Humanitas University in Sosnowiec, 41-200 Sosnowiec, Poland
| | - Ewa Papuć
- Department of Neurology, Medical University of Lublin, 20-093 Lublin, Poland
| | - Barbara Rybus-Kalinowska
- Department of Basic Medical Sciences, Faculty of Health Sciences in Bytom, Medical University of Silesia, 40-055 Katowice, Poland
| | - Patryk Szlacheta
- Department of Toxicology and Health Protection, Faculty of Health Sciences in Bytom, Medical University of Silesia, 40-055 Katowice, Poland
| | - Ilona Korzonek-Szlacheta
- Department of Prevention of Metabolic Diseases, Faculty of Health Sciences in Bytom, Medical University of Silesia, 40-055 Katowice, Poland
| | - Katarzyna Kubicka-Bączyk
- Department of Neurology, Faculty of Medical Sciences in Zabrze, Medical University of Silesia, 40-055 Katowice, Poland
| | - Beata Łabuz-Roszak
- Department of Neurology, Institute of Medical Sciences, University of Opole, 45-040 Opole, Poland
- Correspondence:
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Kasindi A, Fuchs DT, Koronyo Y, Rentsendorj A, Black KL, Koronyo-Hamaoui M. Glatiramer Acetate Immunomodulation: Evidence of Neuroprotection and Cognitive Preservation. Cells 2022; 11:cells11091578. [PMID: 35563884 PMCID: PMC9099707 DOI: 10.3390/cells11091578] [Citation(s) in RCA: 17] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2022] [Revised: 04/28/2022] [Accepted: 05/05/2022] [Indexed: 02/04/2023] Open
Abstract
Novel, neuroprotective uses of Copaxone (generic name: glatiramer acetate—GA) are being examined, primarily in neurological conditions involving cognitive decline. GA is a well-studied synthetic copolymer that is FDA-approved for immune-based treatment of relapsing remitting multiple sclerosis (RRMS). Clinical studies have explored the potential mechanism of action (MOA) and outcomes of GA immunization in patients. Furthermore, results from these and animal studies suggest that GA has a direct immunomodulatory effect on adaptive and innate immune cell phenotypes and responses. These MOAs have been postulated to have a common neuroprotective impact in several neuroinflammatory and neurodegenerative diseases. Notably, several clinical studies report that the use of GA mitigated MS-associated cognitive decline. Its propensity to ameliorate neuro-proinflammatory and degenerative processes ignites increased interest in potential alternate uses such as in age-related macular degeneration (AMD), amyotrophic lateral sclerosis (ALS), and Alzheimer’s disease (AD). Preclinical studies are exploring less frequent subcutaneous administration of GA, such as once weekly or monthly or a single dosing regimen. Indeed, cognitive functions were found to be either preserved, reversed, or improved after the less frequent treatment regimens with GA in animal models of AD. In this systematic review, we examine the potential novel uses of GA across clinical and pre-clinical studies, with evidence for its beneficial impact on cognition. Future investigation in large-size, double-blind clinical trials is warranted to establish the impact of GA immunomodulation on neuroprotection and cognitive preservation in various neurological conditions.
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Affiliation(s)
- Arielle Kasindi
- Department of Neurosurgery, Maxine Dunitz Neurosurgical Institute, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA; (A.K.); (D.-T.F.); (Y.K.); (A.R.); (K.L.B.)
| | - Dieu-Trang Fuchs
- Department of Neurosurgery, Maxine Dunitz Neurosurgical Institute, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA; (A.K.); (D.-T.F.); (Y.K.); (A.R.); (K.L.B.)
| | - Yosef Koronyo
- Department of Neurosurgery, Maxine Dunitz Neurosurgical Institute, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA; (A.K.); (D.-T.F.); (Y.K.); (A.R.); (K.L.B.)
| | - Altan Rentsendorj
- Department of Neurosurgery, Maxine Dunitz Neurosurgical Institute, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA; (A.K.); (D.-T.F.); (Y.K.); (A.R.); (K.L.B.)
| | - Keith L. Black
- Department of Neurosurgery, Maxine Dunitz Neurosurgical Institute, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA; (A.K.); (D.-T.F.); (Y.K.); (A.R.); (K.L.B.)
| | - Maya Koronyo-Hamaoui
- Department of Neurosurgery, Maxine Dunitz Neurosurgical Institute, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA; (A.K.); (D.-T.F.); (Y.K.); (A.R.); (K.L.B.)
- Department of Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA
- Correspondence:
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Chen Q, Fang M, Miri S, Thakor K, Delgado S, Hernandez J, Alba DE, Gregori G, Porciatti V, Wang J, Jiang H. Retinal microvascular and neuronal function in patients with multiple sclerosis: 2-year follow-up. Mult Scler Relat Disord 2021; 56:103314. [PMID: 34634624 DOI: 10.1016/j.msard.2021.103314] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2021] [Revised: 09/11/2021] [Accepted: 10/03/2021] [Indexed: 02/03/2023]
Abstract
OBJECTIVE To determine the longitudinal changes in retinal microstructure, microvasculature, microcirculation, and axonal and neuronal functions in patients with relapsing-remitting multiple sclerosis (RRMS) over the time course of about two years. METHODS A total of 30 patients (60 eyes) with RRMS were followed for a period of 27 ± 6 months and evaluated with a battery of clinical tests including low contrast letter acuity (LCLA), intraretinal layer thicknesses by optical coherence tomography (OCT), ganglion cell function by steady-state pattern electroretinography (PERG), axonal function by polarization-sensitive OCT, volumetric vessel density (VVD) by OCT angiography, and retinal tissue perfusion (RTP) by retinal function imager. RESULTS Axonal function measured as retinal nerve fiber layer birefringence in the temporal quadrant and vessel density in the deep vascular plexus were significantly decreased at 2-year follow-up (P < 0.05). Subgroup analyses showed that the increased retinal blood flow volume occurred in patients with no evidence of disease activity (NEDA), and with stable or improved visual function (P < 0.05). There was no significant difference in the expanded disability state scale, LCLA, RTP, VVD, or PERG measures between the two visits (P > 0.05). CONCLUSION To our best knowledge, this is the first 2-year prospective comprehensive study with a detailed assessment of retinal microstructure and neuronal functions in patients with RRMS. The recovery of retinal microcirculation occurred in patients with NEDA, and stable or improved visual function, suggesting these measurements as potential imaging biomarkers for monitoring disease progression.
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Affiliation(s)
- Qi Chen
- School of Ophthalmology and Optometry, Wenzhou Medical University, Wenzhou, Zhejiang, China; Department of Ophthalmology, Bascom Palmer Eye Institute, University of Miami Miller School of Medicine, Miami, FL, United States
| | - Min Fang
- Department of Ophthalmology, Bascom Palmer Eye Institute, University of Miami Miller School of Medicine, Miami, FL, United States; Shenzhen Key Laboratory of Ophthalmology, Shenzhen Eye Hospital, Jinan University, Shenzhen, China
| | - Shahnaz Miri
- Department of Ophthalmology, Bascom Palmer Eye Institute, University of Miami Miller School of Medicine, Miami, FL, United States
| | - Kinjal Thakor
- Department of Neurology, University of Miami Miller School of Medicine, Miami, FL, United States
| | - Silvia Delgado
- Department of Neurology, University of Miami Miller School of Medicine, Miami, FL, United States
| | - Jeffrey Hernandez
- Department of Neurology, University of Miami Miller School of Medicine, Miami, FL, United States
| | - Diego Eduardo Alba
- Department of Ophthalmology, Bascom Palmer Eye Institute, University of Miami Miller School of Medicine, Miami, FL, United States
| | - Giovanni Gregori
- Department of Ophthalmology, Bascom Palmer Eye Institute, University of Miami Miller School of Medicine, Miami, FL, United States
| | - Vittorio Porciatti
- Department of Ophthalmology, Bascom Palmer Eye Institute, University of Miami Miller School of Medicine, Miami, FL, United States
| | - Jianhua Wang
- Department of Ophthalmology, Bascom Palmer Eye Institute, University of Miami Miller School of Medicine, Miami, FL, United States
| | - Hong Jiang
- Department of Ophthalmology, Bascom Palmer Eye Institute, University of Miami Miller School of Medicine, Miami, FL, United States; Department of Neurology, University of Miami Miller School of Medicine, Miami, FL, United States.
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Rzepiński Ł, Kucharczuk J, Maciejek Z, Grzybowski A, Parisi V. Spectral-Domain Optical Coherence Tomography Assessment in Treatment-Naïve Patients with Clinically Isolated Syndrome and Different Multiple Sclerosis Types: Findings and Relationship with the Disability Status. J Clin Med 2021; 10:jcm10132892. [PMID: 34209692 PMCID: PMC8268329 DOI: 10.3390/jcm10132892] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2021] [Revised: 06/25/2021] [Accepted: 06/26/2021] [Indexed: 01/08/2023] Open
Abstract
This study evaluates the peripapillary retinal nerve fiber layer (pRNFL) thickness and total macular volume (TMV) using spectral-domain optical coherence tomography in treatment naïve patients with the clinically isolated syndrome (CIS) and different multiple sclerosis (MS) types. A total of 126 patients (15 CIS, 65 relapsing-remitting MS, 14 secondary progressive MS, 11 primary progressive MS, 21 benign MS) with or without optic neuritis (ON) history and 63 healthy age-similar controls were assessed. Concerning controls' eyes, pRNFL thickness was significantly reduced in CIS-ON eyes (p < 0.01), while both TMV and pRNFL thickness was decreased in all MS eyes regardless of ON history (p < 0.01). Significant differences in pRNFL thickness and TMV between MS variants were observed for non-ON eyes (p < 0.01), with the lowest values in benign and secondary progressive disease type, respectively. The pRNFL thickness was inversely correlated with Expanded Disability Status Scale (EDSS) score in non-ON subgroups (p < 0.01), whereas TMV was inversely correlated with EDSS score in both ON and non-ON subgroups (p < 0.01). Concluding, pRNFL thinning confirms optic nerve damage in CIS-ON eyes and appears to be disproportionately high with respect to the disability status of benign MS patients. The values of TMV and pRNFL in non-ON eyes significantly correspond to MS course heterogeneity and patients' disability than in ON eyes.
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Affiliation(s)
- Łukasz Rzepiński
- Department of Neurology, 10th Military Research Hospital and Polyclinic, Powstańców Warszawy 5, 85-681 Bydgoszcz, Poland;
- Neurology Department, Sanitas—Neurology Outpatient Clinic, Dworcowa 110, 85-010 Bydgoszcz, Poland
- Correspondence:
| | - Jan Kucharczuk
- Department of Ophthalmology, 10th Military Research Hospital and Polyclinic, Powstańców Warszawy 5, 85-681 Bydgoszcz, Poland;
| | - Zdzisław Maciejek
- Department of Neurology, 10th Military Research Hospital and Polyclinic, Powstańców Warszawy 5, 85-681 Bydgoszcz, Poland;
- Neurology Department, Sanitas—Neurology Outpatient Clinic, Dworcowa 110, 85-010 Bydgoszcz, Poland
| | - Andrzej Grzybowski
- Department of Ophthalmology, University of Warmia and Mazury, Żołnierska 18, 10-561 Olsztyn, Poland;
- Institute for Research in Ophthalmology, Foundation for Ophthalmology Development, Mickiewicza 24/3B, 60-836 Poznan, Poland
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Long-Term Stability of Neuroaxonal Structure in Alemtuzumab-Treated Relapsing-Remitting Multiple Sclerosis Patients. J Neuroophthalmol 2021; 40:37-43. [PMID: 32045393 DOI: 10.1097/wno.0000000000000802] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/21/2023]
Abstract
BACKGROUND Patients with multiple sclerosis (MS) experience progressive thinning in optical coherence tomography (OCT) measures of neuroaxonal structure regardless of optic neuritis history. Few prospective studies have investigated the effects of disease-modifying therapies on neuroaxonal degeneration in the retina. Alemtuzumab is a monoclonal antibody shown to be superior to interferon β-1a in treating relapsing-remitting MS (RRMS). The purpose of this study was to assess the effects of alemtuzumab and first-line injectable treatments on OCT measures of neuroaxonal structure including peripapillary retinal nerve fiber layer (RNFL) thickness and combined ganglion cell-inner plexiform (GCIP) layer volume in RRMS patients followed up over 5 years. METHODS In this retrospective pilot study with prospectively collected double cohort data, spectral domain OCT measures of RNFL thickness and GCIP volume were compared between alemtuzumab-treated RRMS patients (N = 24) and RRMS patients treated with either interferon-β or glatiramer acetate (N = 21). RESULTS Over a median of 60 months (range 42-60 months), the alemtuzumab cohort demonstrated a change in the mean RNFL thickness (thinning from baseline) of -0.88 μm (95% confidence interval [CI] -2.63 to 0.86; P = 0.32) and mean GCIP volume of +0.013 mm (95% CI -0.006 to 0.032; P = 0.18). Over the same time period, the first-line therapy-treated cohort demonstrated greater degrees of RNFL thinning (mean change in RNFL thickness was -3.65 μm [95% CI -5.40 to -1.89; P = 0.0001]). There was also more prominent GCIP volume loss relative to baseline in the first-line therapy group (-0.052 mm [95% CI -0.070 to -0.034; P < 0.0001]). CONCLUSIONS Alemtuzumab-treated patients with RRMS demonstrated relative stability of OCT-measured neuroaxonal structure compared with RRMS patients treated with either interferon-β or glatiramer acetate over a 5-year period. These findings, along with previous demonstration of improved brain atrophy rates, suggest that alemtuzumab may offer long-term preservation of neuroaxonal structure in patients with RRMS.
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Lambe J, Risher H, Filippatou AG, Murphy OC, Sotirchos ES, Ehrhardt H, Ogbuokiri E, Pellegrini N, Toliver B, Luciano NJ, Davis S, Fioravante N, Kwakyi O, Prince JL, Calabresi PA, Fitzgerald KC, Saidha S. Modulation of Retinal Atrophy With Rituximab in Multiple Sclerosis. Neurology 2021; 96:e2525-e2533. [PMID: 33827962 DOI: 10.1212/wnl.0000000000011933] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2020] [Accepted: 02/24/2021] [Indexed: 11/15/2022] Open
Abstract
OBJECTIVE To investigate the effects of rituximab on retinal atrophy in patients with relapsing-remitting multiple sclerosis (RRMS), we performed serial optical coherence tomography (OCT) scans among a cohort of patients with RRMS on rituximab and compared rates of ganglion cell + inner plexiform layer (GCIPL) atrophy to those observed among age- and sex-matched glatiramer acetate (GA)-and natalizumab-treated patients with RRMS and healthy controls (HCs). METHODS In this observational study, patients with RRMS treated with a single disease-modifying therapy and HCs were followed with serial OCT for a median duration of 2.8 years. Participants with uncontrolled hypertension, diabetes mellitus, or glaucoma, and eyes with optic neuritis ≤6 months prior to baseline OCT, or during follow-up, were excluded. Statistical analyses were performed using linear mixed-effects regression. RESULTS During the overall follow-up period, rates of GCIPL atrophy were -0.28 ± 0.11 µm/y among rituximab-treated patients with RRMS (n = 35). This was similar to GA-treated (n = 49; -0.33 ± 0.05 µm/y; p = 0.69) and natalizumab-treated patients (n = 88; -0.17 ± 0.10 µm/y; p = 0.13) and faster than HCs (n = 78; -0.15 ± 0.03 µm/y; p = 0.006). Rituximab-treated patients exhibited 0.55 ± 0.23 µm/y faster rates of GCIPL atrophy during the first 12 months of treatment, relative to afterwards (n = 25; p = 0.02), during which period GCIPL atrophy rates were -0.14 ± 0.13 µm/y. CONCLUSIONS Retinal atrophy in RRMS is modulated by rituximab. Greater attenuation of retinal atrophy may occur after 12 months of rituximab treatment, following which time GCIPL atrophy rates are similar to those observed among natalizumab-treated patients with RRMS and HCs. Our findings raise the possibility that the neuroprotective therapeutic response with rituximab in RRMS may take up to 12 months, which should be confirmed by larger studies. CLASSIFICATION OF EVIDENCE This study provides Class IV evidence on the difference in rate of change of the GCIPL thickness in patients with RRMS comparing rituximab to other disease-modifying therapies.
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Affiliation(s)
- Jeffrey Lambe
- From the Department of Neurology (J.L., H.R., A.G.F., O.C.M., E.S.S., H.E., E.O., N.P., B.T., N.J.L., S.D., N.F., O.K., P.A.C., K.C.F., S.S.), Johns Hopkins University School of Medicine; and Department of Electrical and Computer Engineering (J.L.P.), Johns Hopkins University, Baltimore, MD
| | - Hunter Risher
- From the Department of Neurology (J.L., H.R., A.G.F., O.C.M., E.S.S., H.E., E.O., N.P., B.T., N.J.L., S.D., N.F., O.K., P.A.C., K.C.F., S.S.), Johns Hopkins University School of Medicine; and Department of Electrical and Computer Engineering (J.L.P.), Johns Hopkins University, Baltimore, MD
| | - Angeliki G Filippatou
- From the Department of Neurology (J.L., H.R., A.G.F., O.C.M., E.S.S., H.E., E.O., N.P., B.T., N.J.L., S.D., N.F., O.K., P.A.C., K.C.F., S.S.), Johns Hopkins University School of Medicine; and Department of Electrical and Computer Engineering (J.L.P.), Johns Hopkins University, Baltimore, MD
| | - Olwen C Murphy
- From the Department of Neurology (J.L., H.R., A.G.F., O.C.M., E.S.S., H.E., E.O., N.P., B.T., N.J.L., S.D., N.F., O.K., P.A.C., K.C.F., S.S.), Johns Hopkins University School of Medicine; and Department of Electrical and Computer Engineering (J.L.P.), Johns Hopkins University, Baltimore, MD
| | - Elias S Sotirchos
- From the Department of Neurology (J.L., H.R., A.G.F., O.C.M., E.S.S., H.E., E.O., N.P., B.T., N.J.L., S.D., N.F., O.K., P.A.C., K.C.F., S.S.), Johns Hopkins University School of Medicine; and Department of Electrical and Computer Engineering (J.L.P.), Johns Hopkins University, Baltimore, MD
| | - Henrik Ehrhardt
- From the Department of Neurology (J.L., H.R., A.G.F., O.C.M., E.S.S., H.E., E.O., N.P., B.T., N.J.L., S.D., N.F., O.K., P.A.C., K.C.F., S.S.), Johns Hopkins University School of Medicine; and Department of Electrical and Computer Engineering (J.L.P.), Johns Hopkins University, Baltimore, MD
| | - Esther Ogbuokiri
- From the Department of Neurology (J.L., H.R., A.G.F., O.C.M., E.S.S., H.E., E.O., N.P., B.T., N.J.L., S.D., N.F., O.K., P.A.C., K.C.F., S.S.), Johns Hopkins University School of Medicine; and Department of Electrical and Computer Engineering (J.L.P.), Johns Hopkins University, Baltimore, MD
| | - Nicole Pellegrini
- From the Department of Neurology (J.L., H.R., A.G.F., O.C.M., E.S.S., H.E., E.O., N.P., B.T., N.J.L., S.D., N.F., O.K., P.A.C., K.C.F., S.S.), Johns Hopkins University School of Medicine; and Department of Electrical and Computer Engineering (J.L.P.), Johns Hopkins University, Baltimore, MD
| | - Brandon Toliver
- From the Department of Neurology (J.L., H.R., A.G.F., O.C.M., E.S.S., H.E., E.O., N.P., B.T., N.J.L., S.D., N.F., O.K., P.A.C., K.C.F., S.S.), Johns Hopkins University School of Medicine; and Department of Electrical and Computer Engineering (J.L.P.), Johns Hopkins University, Baltimore, MD
| | - Nicholas J Luciano
- From the Department of Neurology (J.L., H.R., A.G.F., O.C.M., E.S.S., H.E., E.O., N.P., B.T., N.J.L., S.D., N.F., O.K., P.A.C., K.C.F., S.S.), Johns Hopkins University School of Medicine; and Department of Electrical and Computer Engineering (J.L.P.), Johns Hopkins University, Baltimore, MD
| | - Simidele Davis
- From the Department of Neurology (J.L., H.R., A.G.F., O.C.M., E.S.S., H.E., E.O., N.P., B.T., N.J.L., S.D., N.F., O.K., P.A.C., K.C.F., S.S.), Johns Hopkins University School of Medicine; and Department of Electrical and Computer Engineering (J.L.P.), Johns Hopkins University, Baltimore, MD
| | - Nicholas Fioravante
- From the Department of Neurology (J.L., H.R., A.G.F., O.C.M., E.S.S., H.E., E.O., N.P., B.T., N.J.L., S.D., N.F., O.K., P.A.C., K.C.F., S.S.), Johns Hopkins University School of Medicine; and Department of Electrical and Computer Engineering (J.L.P.), Johns Hopkins University, Baltimore, MD
| | - Ohemaa Kwakyi
- From the Department of Neurology (J.L., H.R., A.G.F., O.C.M., E.S.S., H.E., E.O., N.P., B.T., N.J.L., S.D., N.F., O.K., P.A.C., K.C.F., S.S.), Johns Hopkins University School of Medicine; and Department of Electrical and Computer Engineering (J.L.P.), Johns Hopkins University, Baltimore, MD
| | - Jerry L Prince
- From the Department of Neurology (J.L., H.R., A.G.F., O.C.M., E.S.S., H.E., E.O., N.P., B.T., N.J.L., S.D., N.F., O.K., P.A.C., K.C.F., S.S.), Johns Hopkins University School of Medicine; and Department of Electrical and Computer Engineering (J.L.P.), Johns Hopkins University, Baltimore, MD
| | - Peter A Calabresi
- From the Department of Neurology (J.L., H.R., A.G.F., O.C.M., E.S.S., H.E., E.O., N.P., B.T., N.J.L., S.D., N.F., O.K., P.A.C., K.C.F., S.S.), Johns Hopkins University School of Medicine; and Department of Electrical and Computer Engineering (J.L.P.), Johns Hopkins University, Baltimore, MD
| | - Kathryn C Fitzgerald
- From the Department of Neurology (J.L., H.R., A.G.F., O.C.M., E.S.S., H.E., E.O., N.P., B.T., N.J.L., S.D., N.F., O.K., P.A.C., K.C.F., S.S.), Johns Hopkins University School of Medicine; and Department of Electrical and Computer Engineering (J.L.P.), Johns Hopkins University, Baltimore, MD.
| | - Shiv Saidha
- From the Department of Neurology (J.L., H.R., A.G.F., O.C.M., E.S.S., H.E., E.O., N.P., B.T., N.J.L., S.D., N.F., O.K., P.A.C., K.C.F., S.S.), Johns Hopkins University School of Medicine; and Department of Electrical and Computer Engineering (J.L.P.), Johns Hopkins University, Baltimore, MD.
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You Y, Barnett MH, Yiannikas C, Parratt JDE, Matthews JG, Graham SL, Klistorner A. Interferon-β Is Less Effective Than Other Drugs in Controlling the Rate of Retinal Ganglion Cell Loss in MS. NEUROLOGY-NEUROIMMUNOLOGY & NEUROINFLAMMATION 2021; 8:8/3/e971. [PMID: 33597189 PMCID: PMC8105907 DOI: 10.1212/nxi.0000000000000971] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/06/2020] [Accepted: 12/21/2020] [Indexed: 11/19/2022]
Abstract
Objective To investigate the association between disease-modifying therapies (DMTs) and the rate of progressive retinal ganglion cell (RGC) and nerve fiber loss in MS. Methods One hundred five relapsing-remitting patients with MS were followed annually for a median of 4.0 years using optical coherence tomography. Twenty-five healthy subjects were also included as normal controls. The rates of global peripapillary retinal nerve fiber layer (pRNFL), temporal RNFL (tRNFL), and ganglion cell inner plexiform layer (GCIPL) thinning were analyzed according to DMT type using a linear mixed-effects model. Optic radiation lesion volume was measured on brain MRI and included as a covariate to minimize the effects of retrograde transsynaptic degeneration. Results The annual rates of RNFL and GCIPL thinning were higher in patients treated with “platform” therapies (interferon-β and glatiramer acetate) compared with DMTs of higher clinical efficacy (including fingolimod, dimethyl fumarate, natalizumab, alemtuzumab, rituximab, and ocrelizumab) (difference = −0.22 μm/y, p = 0.02 for pRNFL; difference = −0.34 μm/y, p = 0.009 for tRNFL; and difference = −0.16 μm/y, p = 0.005 for GCIPL). Based on an analysis of individual treatments (interferon-β, glatiramer acetate, fingolimod, and natalizumab), interferon-β was associated with inferior RGC preservation, relative to the other drugs. No effect difference was found between glatiramer acetate, fingolimod, and natalizumab. Conclusions Progressive loss of RGCs in patients with MS is more pronounced in patients treated with interferon-β than other DMTs. This finding may have implications for DMT selection in MS. Classification of Evidence This study provides Class IV evidence that for patients with MS, treatment with interferon-β compared with other DMTs leads to a more pronounced rate of retinal ganglion cell loss.
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Affiliation(s)
- Yuyi You
- From the Department of Clinical Medicine (Y.Y., S.L.G., A.K.), Macquarie University, NSW, Australia; Save Sight Institute (Y.Y., A.K.), The University of Sydney, NSW, Australia; Brain and Mind Centre (M.H.B.), The University of Sydney, NSW, Australia; Sydney Neuroimaging Analysis Centre (M.H.B.), NSW, Australia; Department of Neurology (C.Y., J.D.E.P.), Royal North Shore Hospital, NSW, Australia; and Sydney Informatics and Data Science Hub (J.G.M.), The University of Sydney, NSW, Australia.
| | - Michael H Barnett
- From the Department of Clinical Medicine (Y.Y., S.L.G., A.K.), Macquarie University, NSW, Australia; Save Sight Institute (Y.Y., A.K.), The University of Sydney, NSW, Australia; Brain and Mind Centre (M.H.B.), The University of Sydney, NSW, Australia; Sydney Neuroimaging Analysis Centre (M.H.B.), NSW, Australia; Department of Neurology (C.Y., J.D.E.P.), Royal North Shore Hospital, NSW, Australia; and Sydney Informatics and Data Science Hub (J.G.M.), The University of Sydney, NSW, Australia
| | - Con Yiannikas
- From the Department of Clinical Medicine (Y.Y., S.L.G., A.K.), Macquarie University, NSW, Australia; Save Sight Institute (Y.Y., A.K.), The University of Sydney, NSW, Australia; Brain and Mind Centre (M.H.B.), The University of Sydney, NSW, Australia; Sydney Neuroimaging Analysis Centre (M.H.B.), NSW, Australia; Department of Neurology (C.Y., J.D.E.P.), Royal North Shore Hospital, NSW, Australia; and Sydney Informatics and Data Science Hub (J.G.M.), The University of Sydney, NSW, Australia
| | - John D E Parratt
- From the Department of Clinical Medicine (Y.Y., S.L.G., A.K.), Macquarie University, NSW, Australia; Save Sight Institute (Y.Y., A.K.), The University of Sydney, NSW, Australia; Brain and Mind Centre (M.H.B.), The University of Sydney, NSW, Australia; Sydney Neuroimaging Analysis Centre (M.H.B.), NSW, Australia; Department of Neurology (C.Y., J.D.E.P.), Royal North Shore Hospital, NSW, Australia; and Sydney Informatics and Data Science Hub (J.G.M.), The University of Sydney, NSW, Australia
| | - Jim G Matthews
- From the Department of Clinical Medicine (Y.Y., S.L.G., A.K.), Macquarie University, NSW, Australia; Save Sight Institute (Y.Y., A.K.), The University of Sydney, NSW, Australia; Brain and Mind Centre (M.H.B.), The University of Sydney, NSW, Australia; Sydney Neuroimaging Analysis Centre (M.H.B.), NSW, Australia; Department of Neurology (C.Y., J.D.E.P.), Royal North Shore Hospital, NSW, Australia; and Sydney Informatics and Data Science Hub (J.G.M.), The University of Sydney, NSW, Australia
| | - Stuart L Graham
- From the Department of Clinical Medicine (Y.Y., S.L.G., A.K.), Macquarie University, NSW, Australia; Save Sight Institute (Y.Y., A.K.), The University of Sydney, NSW, Australia; Brain and Mind Centre (M.H.B.), The University of Sydney, NSW, Australia; Sydney Neuroimaging Analysis Centre (M.H.B.), NSW, Australia; Department of Neurology (C.Y., J.D.E.P.), Royal North Shore Hospital, NSW, Australia; and Sydney Informatics and Data Science Hub (J.G.M.), The University of Sydney, NSW, Australia
| | - Alexander Klistorner
- From the Department of Clinical Medicine (Y.Y., S.L.G., A.K.), Macquarie University, NSW, Australia; Save Sight Institute (Y.Y., A.K.), The University of Sydney, NSW, Australia; Brain and Mind Centre (M.H.B.), The University of Sydney, NSW, Australia; Sydney Neuroimaging Analysis Centre (M.H.B.), NSW, Australia; Department of Neurology (C.Y., J.D.E.P.), Royal North Shore Hospital, NSW, Australia; and Sydney Informatics and Data Science Hub (J.G.M.), The University of Sydney, NSW, Australia
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Tavazzi E, Zivadinov R, Dwyer MG, Jakimovski D, Singhal T, Weinstock-Guttman B, Bergsland N. MRI biomarkers of disease progression and conversion to secondary-progressive multiple sclerosis. Expert Rev Neurother 2020; 20:821-834. [PMID: 32306772 DOI: 10.1080/14737175.2020.1757435] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/24/2022]
Abstract
INTRODUCTION Conventional imaging measures remain a key clinical tool for the diagnosis multiple sclerosis (MS) and monitoring of patients. However, most measures used in the clinic show unsatisfactory performance in predicting disease progression and conversion to secondary progressive MS. AREAS COVERED Sophisticated imaging techniques have facilitated the identification of imaging biomarkers associated with disease progression, such as global and regional brain volume measures, and with conversion to secondary progressive MS, such as leptomeningeal contrast enhancement and chronic inflammation. The relevance of emerging imaging approaches partially overcoming intrinsic limitations of traditional techniques is also discussed. EXPERT OPINION Imaging biomarkers capable of detecting tissue damage early on in the disease, with the potential to be applied in multicenter trials and at an individual level in clinical settings, are strongly needed. Several measures have been proposed, which exploit advanced imaging acquisitions and/or incorporate sophisticated post-processing, can quantify irreversible tissue damage. The progressively wider use of high-strength field MRI and the development of more advanced imaging techniques will help capture the missing pieces of the MS puzzle. The ability to more reliably identify those at risk for disability progression will allow for earlier intervention with the aim to favorably alter the disease course.
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Affiliation(s)
- Eleonora Tavazzi
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York , Buffalo, NY, USA
| | - Robert Zivadinov
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York , Buffalo, NY, USA.,Translational Imaging Center, Clinical and Translational Science Institute, University at Buffalo, The State University of New York , Buffalo, NY, USA
| | - Michael G Dwyer
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York , Buffalo, NY, USA
| | - Dejan Jakimovski
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York , Buffalo, NY, USA
| | - Tarun Singhal
- PET Imaging Program in Neurologic Diseases and Partners Multiple Sclerosis Center, Ann Romney Center for Neurologic Disease, Department of Neurology, Brigham and Women's Hospital, Harvard Medical School , Boston, MA, USA
| | - Bianca Weinstock-Guttman
- Jacobs Comprehensive MS Treatment and Research Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York , Buffalo, NY, USA
| | - Niels Bergsland
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York , Buffalo, NY, USA.,IRCCS, Fondazione Don Carlo Gnocchi , Milan, Italy
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14
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Tavazzi E, Bergsland N, Kuhle J, Jakimovski D, Ramanathan M, Maceski AM, Tomic D, Hagemeier J, Kropshofer H, Leppert D, Dwyer MG, Weinstock-Guttman B, Benedict RHB, Zivadinov R. A multimodal approach to assess the validity of atrophied T2-lesion volume as an MRI marker of disease progression in multiple sclerosis. J Neurol 2019; 267:802-811. [PMID: 31768628 DOI: 10.1007/s00415-019-09643-z] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2019] [Revised: 11/14/2019] [Accepted: 11/14/2019] [Indexed: 02/02/2023]
Abstract
BACKGROUND Atrophied T2-lesion volume (LV) is a novel MRI marker representing brain-lesion loss due to atrophy, able to predict long-term disability progression and conversion to secondary-progressive multiple sclerosis (MS). OBJECTIVE To better characterize atrophied T2-LV via comparison with other multidisciplinary markers of MS progression. METHODS We studied 127 MS patients (85 relapsing-remitting, RRMS and 42 progressive, PMS) and 20 clinically isolated syndrome (CIS) utilizing MRI, optical coherence tomography, and serum neurofilament light chain (sNfL) at baseline and at 5-year follow-up. Symbol Digit Modalities Test (SDMT) was obtained at follow-up. Atrophied T2-LV was calculated by combining baseline lesion masks with follow-up CSF partial-volume maps. Measures were compared between MS patients who developed or not disease progression (DP). Partial correlations between atrophied T2-LV and other biomarkers were performed, and corrected for multiple comparisons. RESULTS Atrophied T2-LV was the only biomarker that significantly differentiated DP from non-DP patients over the follow-up (p = 0.007). In both DP and non-DP groups, atrophied T2-LV was associated with baseline T2-LV and T1-LV (both p = 0.003), absolute change of T1-LV (DP p = 0.038; non-DP p = 0.003) and percentage of brain volume change (both p = 0.003). Furthermore, in the DP group, atrophied T2-LV was related to baseline brain parenchymal (p = 0.017) and thalamic (p = 0.003) volumes, thalamic volume change and follow-up SDMT (both p = 0.003). In non-DP patients, atrophied T2-LV was significantly related to baseline sNfL (p = 0.008), contrast-enhancing LV (p = 0.02) and percentage ventricular volume change (p = 0.003). CONCLUSION Atrophied T2-LV is associated with disability accrual in MS, and to several multimodal markers of disease evolution.
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Affiliation(s)
- Eleonora Tavazzi
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, 100 High Street, Buffalo, NY, 14203, USA
| | - Niels Bergsland
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, 100 High Street, Buffalo, NY, 14203, USA
| | - Jens Kuhle
- Departments of Medicine, Biomedicine and Clinical Research, Neurologic Clinic and Policlinic, University Hospital Basel, University of Basel, Basel, Switzerland
| | - Dejan Jakimovski
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, 100 High Street, Buffalo, NY, 14203, USA
| | - Murali Ramanathan
- Department of Pharmaceutical Sciences, University at Buffalo, State University of New York, Buffalo, NY, USA
| | - Aleksandra M Maceski
- Departments of Medicine, Biomedicine and Clinical Research, Neurologic Clinic and Policlinic, University Hospital Basel, University of Basel, Basel, Switzerland
| | | | - Jesper Hagemeier
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, 100 High Street, Buffalo, NY, 14203, USA
| | | | | | - Michael G Dwyer
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, 100 High Street, Buffalo, NY, 14203, USA
- Center for Biomedical Imaging at Clinical Translational Science Institute, University at Buffalo, State University of New York, Buffalo, NY, USA
| | - Bianca Weinstock-Guttman
- Jacobs MS Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY, USA
| | - Ralph H B Benedict
- Jacobs MS Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY, USA
| | - Robert Zivadinov
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, 100 High Street, Buffalo, NY, 14203, USA.
- Center for Biomedical Imaging at Clinical Translational Science Institute, University at Buffalo, State University of New York, Buffalo, NY, USA.
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