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Villoslada P, Solana E, Alba-Arbalat S, Martinez-Heras E, Vivo F, Lopez-Soley E, Calvi A, Camos-Carreras A, Dotti-Boada M, Bailac RA, Martinez-Lapiscina EH, Blanco Y, Llufriu S, Sanchez Dalmau BF. Retinal Damage and Visual Network Reconfiguration Defines Visual Function Recovery in Optic Neuritis. NEUROLOGY(R) NEUROIMMUNOLOGY & NEUROINFLAMMATION 2024; 11:e200288. [PMID: 39213469 PMCID: PMC11368233 DOI: 10.1212/nxi.0000000000200288] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/09/2024] [Accepted: 06/07/2024] [Indexed: 09/04/2024]
Abstract
BACKGROUND AND OBJECTIVES Recovery of vision after acute optic neuritis (AON) is critical to improving the quality of life of people with demyelinating diseases. The objective of the study was to prospectively assess the changes in visual acuity, retinal layer thickness, and cortical visual network in patients with AON to identify the predictors of permanent visual disability. METHODS We studied a prospective cohort of 88 consecutive patients with AON with 6-month follow-up using high and low-contrast (2.5%) visual acuity, color vision, retinal thickness from optical coherence tomography, latencies and amplitudes of multifocal visual evoked potentials, mean deviation of visual fields, and diffusion-based structural (n = 53) and functional (n = 19) brain MRI to analyze the cortical visual network. The primary outcome was 2.5% low-contrast vision, and data were analyzed with mixed-effects and multivariate regression models. RESULTS We found that after 6 months, low-contrast vision and quality of vision remained moderately impaired. The thickness of the ganglion cell layer at baseline was a predictor of low-contrast vision 6 months later (ß = 0.49 [CI 0.11-0.88], p = 0.012). The structural cortical visual network at baseline predicted low-contrast vision, the best predictors being the betweenness of the right parahippocampal cortex (ß = -036 [CI -0.66 to 0.06], p = 0.021), the node strength of the right V3 (ß = 1.72 [CI 0.29-3.15], p = 0.02), and the clustering coefficient of the left intraparietal sulcus (ß = 57.8 [CI 12.3-103.4], p = 0.015). The functional cortical visual network at baseline also predicted low-contrast vision, the best predictors being the betweenness of the left ventral occipital cortex (ß = 8.6 [CI: 4.03-13.3], p = 0.009), the node strength of the right intraparietal sulcus (ß = -2.79 [CI: -5.1-0.4], p = 0.03), and the clustering coefficient of the left superior parietal lobule (ß = 501.5 [CI 50.8-952.2], p = 0.03). DISCUSSION The assessment of the visual pathway at baseline predicts permanent vision disability after AON, indicating that damage is produced early after disease onset and that it can be used for defining vision impairment and guiding therapy.
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Affiliation(s)
- Pablo Villoslada
- From the Department of Neurology (P.V.), Hospital Hospital del Mar-Pomepu Fabra University, Barcelona; Neurology Service and Laboratory of Advanced Imaging in Neuroimmunological Diseases (E.S., S.A.-A., E.M.-H., F.V., E.L.-S., A.C., E.H.M.-L., Y.B., S.L.), Hospital Clinic of Barcelona; and Ophthalmology Service (S.A.-A., A.C.-C., M.D.-B., R.A.B., S.L., B.F.S.D.), Hospital Clinic of Barcelona, Spain
| | - Elisabeth Solana
- From the Department of Neurology (P.V.), Hospital Hospital del Mar-Pomepu Fabra University, Barcelona; Neurology Service and Laboratory of Advanced Imaging in Neuroimmunological Diseases (E.S., S.A.-A., E.M.-H., F.V., E.L.-S., A.C., E.H.M.-L., Y.B., S.L.), Hospital Clinic of Barcelona; and Ophthalmology Service (S.A.-A., A.C.-C., M.D.-B., R.A.B., S.L., B.F.S.D.), Hospital Clinic of Barcelona, Spain
| | - Salut Alba-Arbalat
- From the Department of Neurology (P.V.), Hospital Hospital del Mar-Pomepu Fabra University, Barcelona; Neurology Service and Laboratory of Advanced Imaging in Neuroimmunological Diseases (E.S., S.A.-A., E.M.-H., F.V., E.L.-S., A.C., E.H.M.-L., Y.B., S.L.), Hospital Clinic of Barcelona; and Ophthalmology Service (S.A.-A., A.C.-C., M.D.-B., R.A.B., S.L., B.F.S.D.), Hospital Clinic of Barcelona, Spain
| | - Eloy Martinez-Heras
- From the Department of Neurology (P.V.), Hospital Hospital del Mar-Pomepu Fabra University, Barcelona; Neurology Service and Laboratory of Advanced Imaging in Neuroimmunological Diseases (E.S., S.A.-A., E.M.-H., F.V., E.L.-S., A.C., E.H.M.-L., Y.B., S.L.), Hospital Clinic of Barcelona; and Ophthalmology Service (S.A.-A., A.C.-C., M.D.-B., R.A.B., S.L., B.F.S.D.), Hospital Clinic of Barcelona, Spain
| | - Francesc Vivo
- From the Department of Neurology (P.V.), Hospital Hospital del Mar-Pomepu Fabra University, Barcelona; Neurology Service and Laboratory of Advanced Imaging in Neuroimmunological Diseases (E.S., S.A.-A., E.M.-H., F.V., E.L.-S., A.C., E.H.M.-L., Y.B., S.L.), Hospital Clinic of Barcelona; and Ophthalmology Service (S.A.-A., A.C.-C., M.D.-B., R.A.B., S.L., B.F.S.D.), Hospital Clinic of Barcelona, Spain
| | - Elisabet Lopez-Soley
- From the Department of Neurology (P.V.), Hospital Hospital del Mar-Pomepu Fabra University, Barcelona; Neurology Service and Laboratory of Advanced Imaging in Neuroimmunological Diseases (E.S., S.A.-A., E.M.-H., F.V., E.L.-S., A.C., E.H.M.-L., Y.B., S.L.), Hospital Clinic of Barcelona; and Ophthalmology Service (S.A.-A., A.C.-C., M.D.-B., R.A.B., S.L., B.F.S.D.), Hospital Clinic of Barcelona, Spain
| | - Alberto Calvi
- From the Department of Neurology (P.V.), Hospital Hospital del Mar-Pomepu Fabra University, Barcelona; Neurology Service and Laboratory of Advanced Imaging in Neuroimmunological Diseases (E.S., S.A.-A., E.M.-H., F.V., E.L.-S., A.C., E.H.M.-L., Y.B., S.L.), Hospital Clinic of Barcelona; and Ophthalmology Service (S.A.-A., A.C.-C., M.D.-B., R.A.B., S.L., B.F.S.D.), Hospital Clinic of Barcelona, Spain
| | - Anna Camos-Carreras
- From the Department of Neurology (P.V.), Hospital Hospital del Mar-Pomepu Fabra University, Barcelona; Neurology Service and Laboratory of Advanced Imaging in Neuroimmunological Diseases (E.S., S.A.-A., E.M.-H., F.V., E.L.-S., A.C., E.H.M.-L., Y.B., S.L.), Hospital Clinic of Barcelona; and Ophthalmology Service (S.A.-A., A.C.-C., M.D.-B., R.A.B., S.L., B.F.S.D.), Hospital Clinic of Barcelona, Spain
| | - Marina Dotti-Boada
- From the Department of Neurology (P.V.), Hospital Hospital del Mar-Pomepu Fabra University, Barcelona; Neurology Service and Laboratory of Advanced Imaging in Neuroimmunological Diseases (E.S., S.A.-A., E.M.-H., F.V., E.L.-S., A.C., E.H.M.-L., Y.B., S.L.), Hospital Clinic of Barcelona; and Ophthalmology Service (S.A.-A., A.C.-C., M.D.-B., R.A.B., S.L., B.F.S.D.), Hospital Clinic of Barcelona, Spain
| | - Rafel Alcubierre Bailac
- From the Department of Neurology (P.V.), Hospital Hospital del Mar-Pomepu Fabra University, Barcelona; Neurology Service and Laboratory of Advanced Imaging in Neuroimmunological Diseases (E.S., S.A.-A., E.M.-H., F.V., E.L.-S., A.C., E.H.M.-L., Y.B., S.L.), Hospital Clinic of Barcelona; and Ophthalmology Service (S.A.-A., A.C.-C., M.D.-B., R.A.B., S.L., B.F.S.D.), Hospital Clinic of Barcelona, Spain
| | - Elena H Martinez-Lapiscina
- From the Department of Neurology (P.V.), Hospital Hospital del Mar-Pomepu Fabra University, Barcelona; Neurology Service and Laboratory of Advanced Imaging in Neuroimmunological Diseases (E.S., S.A.-A., E.M.-H., F.V., E.L.-S., A.C., E.H.M.-L., Y.B., S.L.), Hospital Clinic of Barcelona; and Ophthalmology Service (S.A.-A., A.C.-C., M.D.-B., R.A.B., S.L., B.F.S.D.), Hospital Clinic of Barcelona, Spain
| | - Yolanda Blanco
- From the Department of Neurology (P.V.), Hospital Hospital del Mar-Pomepu Fabra University, Barcelona; Neurology Service and Laboratory of Advanced Imaging in Neuroimmunological Diseases (E.S., S.A.-A., E.M.-H., F.V., E.L.-S., A.C., E.H.M.-L., Y.B., S.L.), Hospital Clinic of Barcelona; and Ophthalmology Service (S.A.-A., A.C.-C., M.D.-B., R.A.B., S.L., B.F.S.D.), Hospital Clinic of Barcelona, Spain
| | - Sara Llufriu
- From the Department of Neurology (P.V.), Hospital Hospital del Mar-Pomepu Fabra University, Barcelona; Neurology Service and Laboratory of Advanced Imaging in Neuroimmunological Diseases (E.S., S.A.-A., E.M.-H., F.V., E.L.-S., A.C., E.H.M.-L., Y.B., S.L.), Hospital Clinic of Barcelona; and Ophthalmology Service (S.A.-A., A.C.-C., M.D.-B., R.A.B., S.L., B.F.S.D.), Hospital Clinic of Barcelona, Spain
| | - Bernardo F Sanchez Dalmau
- From the Department of Neurology (P.V.), Hospital Hospital del Mar-Pomepu Fabra University, Barcelona; Neurology Service and Laboratory of Advanced Imaging in Neuroimmunological Diseases (E.S., S.A.-A., E.M.-H., F.V., E.L.-S., A.C., E.H.M.-L., Y.B., S.L.), Hospital Clinic of Barcelona; and Ophthalmology Service (S.A.-A., A.C.-C., M.D.-B., R.A.B., S.L., B.F.S.D.), Hospital Clinic of Barcelona, Spain
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Alba-Arbalat S, Solana E, Lopez-Soley E, Camos-Carreras A, Martinez-Heras E, Vivó F, Pulido-Valdeolivas I, Andorra M, Sepulveda M, Cabrera JM, Fonseca E, Calvi A, Alcubierre R, Dotti-Boada M, Saiz A, Martinez-Lapiscina EH, Villoslada P, Blanco Y, Sanchez-Dalmau B, Llufriu S. Predictive value of retinal atrophy for cognitive decline across disease duration in multiple sclerosis. J Neurol Neurosurg Psychiatry 2024; 95:419-425. [PMID: 37989566 DOI: 10.1136/jnnp-2023-332332] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/28/2023] [Accepted: 10/23/2023] [Indexed: 11/23/2023]
Abstract
BACKGROUND We investigated the association between changes in retinal thickness and cognition in people with MS (PwMS), exploring the predictive value of optical coherence tomography (OCT) markers of neuroaxonal damage for global cognitive decline at different periods of disease. METHOD We quantified the peripapillary retinal nerve fibre (pRFNL) and ganglion cell-inner plexiform (GCIPL) layers thicknesses of 207 PwMS and performed neuropsychological evaluations. The cohort was divided based on disease duration (≤5 years or >5 years). We studied associations between changes in OCT and cognition over time, and assessed the risk of cognitive decline of a pRFNL≤88 µm or GCIPL≤77 µm and its predictive value. RESULTS Changes in pRFNL and GCIPL thickness over 3.2 years were associated with evolution of cognitive scores, in the entire cohort and in patients with more than 5 years of disease (p<0.01). Changes in cognition were related to less use of disease-modifying drugs, but not OCT metrics in PwMS within 5 years of onset. A pRFNL≤88 µm was associated with earlier cognitive disability (3.7 vs 9.9 years) and higher risk of cognitive deterioration (HR=1.64, p=0.022). A GCIPL≤77 µm was not associated with a higher risk of cognitive decline, but a trend was observed at ≤91.5 µm in PwMS with longer disease (HR=1.81, p=0.061). CONCLUSIONS The progressive retinal thinning is related to cognitive decline, indicating that cognitive dysfunction is a late manifestation of accumulated neuroaxonal damage. Quantifying the pRFNL aids in identifying individuals at risk of cognitive dysfunction.
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Affiliation(s)
- Salut Alba-Arbalat
- Neuroimmunology and Multiple Sclerosis Unit, Hospital Clinic de Barcelona, Barcelona, Spain
- Laboratory of Advanced Imaging in Neuroimmunological Diseases, Fundacio Recerca Clinic Barcelona -IDIBAPS, Barcelona, Spain
| | - Elisabeth Solana
- Neuroimmunology and Multiple Sclerosis Unit, Hospital Clinic de Barcelona, Barcelona, Spain
- Laboratory of Advanced Imaging in Neuroimmunological Diseases, Fundacio Recerca Clinic Barcelona -IDIBAPS, Barcelona, Spain
| | - Elisabet Lopez-Soley
- Neuroimmunology and Multiple Sclerosis Unit, Hospital Clinic de Barcelona, Barcelona, Spain
- Laboratory of Advanced Imaging in Neuroimmunological Diseases, Fundacio Recerca Clinic Barcelona -IDIBAPS, Barcelona, Spain
| | | | - Eloy Martinez-Heras
- Neuroimmunology and Multiple Sclerosis Unit, Hospital Clinic de Barcelona, Barcelona, Spain
- Laboratory of Advanced Imaging in Neuroimmunological Diseases, Fundacio Recerca Clinic Barcelona -IDIBAPS, Barcelona, Spain
| | - Francesc Vivó
- Neuroimmunology and Multiple Sclerosis Unit, Hospital Clinic de Barcelona, Barcelona, Spain
- Laboratory of Advanced Imaging in Neuroimmunological Diseases, Fundacio Recerca Clinic Barcelona -IDIBAPS, Barcelona, Spain
| | - Irene Pulido-Valdeolivas
- Laboratory of Advanced Imaging in Neuroimmunological Diseases, Fundacio Recerca Clinic Barcelona -IDIBAPS, Barcelona, Spain
| | - Magi Andorra
- Laboratory of Advanced Imaging in Neuroimmunological Diseases, Fundacio Recerca Clinic Barcelona -IDIBAPS, Barcelona, Spain
| | - Maria Sepulveda
- Neuroimmunology and Multiple Sclerosis Unit, Hospital Clinic de Barcelona, Barcelona, Spain
- Laboratory of Advanced Imaging in Neuroimmunological Diseases, Fundacio Recerca Clinic Barcelona -IDIBAPS, Barcelona, Spain
| | - Jose María Cabrera
- Neuroimmunology and Multiple Sclerosis Unit, Hospital Clinic de Barcelona, Barcelona, Spain
- Laboratory of Advanced Imaging in Neuroimmunological Diseases, Fundacio Recerca Clinic Barcelona -IDIBAPS, Barcelona, Spain
| | - Elianet Fonseca
- Laboratory of Advanced Imaging in Neuroimmunological Diseases, Fundacio Recerca Clinic Barcelona -IDIBAPS, Barcelona, Spain
- Neurology Department, Pontificia Universidad Católica de Chile, Santiago, Chile
| | - Alberto Calvi
- Neuroimmunology and Multiple Sclerosis Unit, Hospital Clinic de Barcelona, Barcelona, Spain
- Laboratory of Advanced Imaging in Neuroimmunological Diseases, Fundacio Recerca Clinic Barcelona -IDIBAPS, Barcelona, Spain
| | - Rafel Alcubierre
- Ophthalmology Department, Hospital Clinic de Barcelona, Barcelona, Spain
| | - Marina Dotti-Boada
- Ophthalmology Department, Hospital Clinic de Barcelona, Barcelona, Spain
| | - Albert Saiz
- Neuroimmunology and Multiple Sclerosis Unit, Hospital Clinic de Barcelona, Barcelona, Spain
- Laboratory of Advanced Imaging in Neuroimmunological Diseases, Fundacio Recerca Clinic Barcelona -IDIBAPS, Barcelona, Spain
| | - Elena H Martinez-Lapiscina
- Laboratory of Advanced Imaging in Neuroimmunological Diseases, Fundacio Recerca Clinic Barcelona -IDIBAPS, Barcelona, Spain
| | - Pablo Villoslada
- Department of Neurosciences, Hospital del Mar Medical Research Institute, Barcelona, Spain
| | - Yolanda Blanco
- Neuroimmunology and Multiple Sclerosis Unit, Hospital Clinic de Barcelona, Barcelona, Spain
- Laboratory of Advanced Imaging in Neuroimmunological Diseases, Fundacio Recerca Clinic Barcelona -IDIBAPS, Barcelona, Spain
| | | | - Sara Llufriu
- Neuroimmunology and Multiple Sclerosis Unit, Hospital Clinic de Barcelona, Barcelona, Spain
- Laboratory of Advanced Imaging in Neuroimmunological Diseases, Fundacio Recerca Clinic Barcelona -IDIBAPS, Barcelona, Spain
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Riboni-Verri G, Chen BS, McMurran CE, Halliwell GJ, Brown JWL, Coles AJ, Cunniffe NG. Visual outcome measures in clinical trials of remyelinating drugs. BMJ Neurol Open 2024; 6:e000560. [PMID: 38389586 PMCID: PMC10882304 DOI: 10.1136/bmjno-2023-000560] [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: 10/16/2023] [Accepted: 01/15/2024] [Indexed: 02/24/2024] Open
Abstract
One of the most promising approaches to delay, prevent or reverse disability progression in multiple sclerosis (MS) is to enhance endogenous remyelination and limit axonal degeneration. In clinical trials of remyelinating drugs, there is a need for reliable, sensitive and clinically relevant outcome measures. The visual pathway, which is frequently affected by MS, provides a unique model system to evaluate remyelination of acute and chronic MS lesions in vivo and non-invasively. In this review, we discuss the different measures that have been used and scrutinise visual outcome measure selection in current and future remyelination trials.
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Affiliation(s)
- Gioia Riboni-Verri
- Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK
- Cambridge Clinical Vision Laboratory, University of Cambridge, Cambridge, UK
| | - Benson S Chen
- Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK
- Cambridge Clinical Vision Laboratory, University of Cambridge, Cambridge, UK
| | - Christopher E McMurran
- Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK
- Cambridge Clinical Vision Laboratory, University of Cambridge, Cambridge, UK
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Gregory J Halliwell
- Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK
| | - J William L Brown
- Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK
- Clinical Outcomes Research Unit (CORe), University of Melbourne, Melborune, Melborune, Australia
| | - Alasdair J Coles
- Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK
- Cambridge Clinical Vision Laboratory, University of Cambridge, Cambridge, UK
| | - Nick G Cunniffe
- Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK
- Cambridge Clinical Vision Laboratory, University of Cambridge, Cambridge, UK
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Shew W, Zhang DJ, Menkes DB, Danesh-Meyer HV. Optical Coherence Tomography in Schizophrenia Spectrum Disorders: A Systematic Review and Meta-analysis. BIOLOGICAL PSYCHIATRY GLOBAL OPEN SCIENCE 2024; 4:19-30. [PMID: 38021252 PMCID: PMC10654004 DOI: 10.1016/j.bpsgos.2023.08.013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2023] [Revised: 08/13/2023] [Accepted: 08/15/2023] [Indexed: 12/01/2023] Open
Abstract
Background Inner retinal atrophy has been demonstrated in schizophrenia spectrum disorder (SSD) using optical coherence tomography (OCT). This systematic review and meta-analysis investigated the role of contemporary Fourier domain OCT devices in SSD. Methods MEDLINE, PubMed, Scopus, Embase, PsycInfo, PYSNDEX, World Health Organization, and Cochrane databases were searched from inception until May 2022. All peer-reviewed adult SSD case-control studies using Fourier domain OCT were included. Ocular pathologies known to affect retinal OCT scans were excluded. Search, data appraisal, and summary data extraction were independently performed by 2 authors. Results The review criteria was met by k = 36 studies, with k = 24 studies (1074 cases, 854 controls) suitable for meta-analysis. The SSD group exhibited a thinner global peripapillary retinal nerve fiber layer (-3.26 μm, 95% CI, -5.07 to -1.45, I2 = 64%, k = 21), thinner average macular layer (-7.88 μm, 95% CI, -12.73 to -3.04, I2 = 65%, k = 11), and thinner macular ganglion cell-inner plexiform sublayer (-2.44 μm, 95% CI, -4.13 to -0.76, I2 = 30%, k = 8) compared with the control group. Retinal nerve fiber layer findings remained significant after exclusion of metabolic disease, low quality, outlier, and influential studies. Studies involving eye examinations to exclude eye disease were associated with greater atrophy in SSD. Except for cardiometabolic disease, most studies did not report clinically significant covariate data known to influence retinal thickness. Conclusions Individuals with SSD generally exhibited retinal atrophy, possibly paralleling reduced brain volumes documented in clinical imaging. Prospective longitudinal studies that collect clinical data, including various illness phases, and control for confounders will be necessary to evaluate retinal atrophy as a biomarker in SSD.
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Affiliation(s)
- William Shew
- Department of Ophthalmology, New Zealand National Eye Centre, University of Auckland, Auckland, New Zealand
| | - Daniel J. Zhang
- Dunedin School of Medicine, University of Otago, Dunedin, New Zealand
| | - David B. Menkes
- Department of Psychological Medicine, University of Auckland, Auckland, New Zealand
| | - Helen V. Danesh-Meyer
- Department of Ophthalmology, New Zealand National Eye Centre, University of Auckland, Auckland, New Zealand
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Lin T, Chien C, Kuchling J, Asseyer S, Motamedi S, Bellmann‐Strobl J, Schmitz‐Hübsch T, Ruprecht K, Brandt AU, Zimmermann HG, Paul F. Interactions of optic radiation lesions with retinal and brain atrophy in early multiple sclerosis. Ann Clin Transl Neurol 2024; 11:45-56. [PMID: 37903651 PMCID: PMC10791029 DOI: 10.1002/acn3.51931] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2023] [Revised: 09/27/2023] [Accepted: 10/15/2023] [Indexed: 11/01/2023] Open
Abstract
OBJECTIVE Retrograde trans-synaptic neuroaxonal degeneration is considered a key pathological factor of subclinical retinal neuroaxonal damage in multiple sclerosis (MS). We aim to evaluate the longitudinal association of optic radiation (OR) lesion activity with retinal neuroaxonal damage and its role in correlations between retinal and brain atrophy in people with clinically isolated syndrome and early MS (pweMS). METHODS Eighty-five pweMS were retrospectively screened from a prospective cohort (Berlin CIS cohort). Participants underwent 3T magnetic resonance imaging (MRI) for OR lesion volume and brain atrophy measurements and optical coherence tomography (OCT) for retinal layer thickness measurements. All pweMS were followed with serial OCT and MRI over a median follow-up of 2.9 (interquartile range: 2.6-3.4) years. Eyes with a history of optic neuritis prior to study enrollment were excluded. Linear mixed models were used to analyze the association of retinal layer thinning with changes in OR lesion volume and brain atrophy. RESULTS Macular ganglion cell-inner plexiform layer (GCIPL) thinning was more pronounced in pweMS with OR lesion volume increase during follow-up compared to those without (Difference: -0.82 μm [95% CI:-1.49 to -0.15], p = 0.018). Furthermore, GCIPL thinning correlated with both OR lesion volume increase (β [95% CI] = -0.27 [-0.50 to -0.03], p = 0.028) and brain atrophy (β [95% CI] = 0.47 [0.25 to 0.70], p < 0.001). Correlations of GCIPL changes with brain atrophy did not differ between pweMS with or without OR lesion increase (η p 2 = 5.92e-7 , p = 0.762). INTERPRETATION Faster GCIPL thinning rate is associated with increased OR lesion load. Our results support the value of GCIPL as a sensitive biomarker reflecting both posterior visual pathway pathology and global brain neurodegeneration.
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Affiliation(s)
- Ting‐Yi Lin
- Experimental and Clinical Research Center, a cooperation between the Max Delbrück Center for Molecular Medicine in the Helmholtz Association and the Charité – Universitätsmedizin BerlinBerlinGermany
- Charité – Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt‐Universität zu BerlinBerlinGermany
- Max‐Delbrück Center for Molecular Medicine in the Helmholtz AssociationBerlinGermany
| | - Claudia Chien
- Experimental and Clinical Research Center, a cooperation between the Max Delbrück Center for Molecular Medicine in the Helmholtz Association and the Charité – Universitätsmedizin BerlinBerlinGermany
- Charité – Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt‐Universität zu BerlinBerlinGermany
- Max‐Delbrück Center for Molecular Medicine in the Helmholtz AssociationBerlinGermany
- Department of Psychiatry and PsychotherapyCharité – Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt‐Universität zu BerlinBerlinGermany
| | - Joseph Kuchling
- Experimental and Clinical Research Center, a cooperation between the Max Delbrück Center for Molecular Medicine in the Helmholtz Association and the Charité – Universitätsmedizin BerlinBerlinGermany
- Charité – Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt‐Universität zu BerlinBerlinGermany
- Max‐Delbrück Center for Molecular Medicine in the Helmholtz AssociationBerlinGermany
- Department of NeurologyCharité – Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt‐Universität zu BerlinBerlinGermany
| | - Susanna Asseyer
- Experimental and Clinical Research Center, a cooperation between the Max Delbrück Center for Molecular Medicine in the Helmholtz Association and the Charité – Universitätsmedizin BerlinBerlinGermany
- Charité – Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt‐Universität zu BerlinBerlinGermany
- Max‐Delbrück Center for Molecular Medicine in the Helmholtz AssociationBerlinGermany
- Neuroscience Clinical Research CenterCharité – Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt‐Universität zu BerlinBerlinGermany
| | - Seyedamirhosein Motamedi
- Experimental and Clinical Research Center, a cooperation between the Max Delbrück Center for Molecular Medicine in the Helmholtz Association and the Charité – Universitätsmedizin BerlinBerlinGermany
- Charité – Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt‐Universität zu BerlinBerlinGermany
- Max‐Delbrück Center for Molecular Medicine in the Helmholtz AssociationBerlinGermany
- Neuroscience Clinical Research CenterCharité – Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt‐Universität zu BerlinBerlinGermany
| | - Judith Bellmann‐Strobl
- Experimental and Clinical Research Center, a cooperation between the Max Delbrück Center for Molecular Medicine in the Helmholtz Association and the Charité – Universitätsmedizin BerlinBerlinGermany
- Charité – Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt‐Universität zu BerlinBerlinGermany
- Max‐Delbrück Center for Molecular Medicine in the Helmholtz AssociationBerlinGermany
- Neuroscience Clinical Research CenterCharité – Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt‐Universität zu BerlinBerlinGermany
| | - Tanja Schmitz‐Hübsch
- Experimental and Clinical Research Center, a cooperation between the Max Delbrück Center for Molecular Medicine in the Helmholtz Association and the Charité – Universitätsmedizin BerlinBerlinGermany
- Charité – Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt‐Universität zu BerlinBerlinGermany
- Max‐Delbrück Center for Molecular Medicine in the Helmholtz AssociationBerlinGermany
- Neuroscience Clinical Research CenterCharité – Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt‐Universität zu BerlinBerlinGermany
| | - Klemens Ruprecht
- Department of NeurologyCharité – Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt‐Universität zu BerlinBerlinGermany
| | - Alexander U. Brandt
- Experimental and Clinical Research Center, a cooperation between the Max Delbrück Center for Molecular Medicine in the Helmholtz Association and the Charité – Universitätsmedizin BerlinBerlinGermany
- Charité – Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt‐Universität zu BerlinBerlinGermany
- Max‐Delbrück Center for Molecular Medicine in the Helmholtz AssociationBerlinGermany
| | - Hanna G. Zimmermann
- Experimental and Clinical Research Center, a cooperation between the Max Delbrück Center for Molecular Medicine in the Helmholtz Association and the Charité – Universitätsmedizin BerlinBerlinGermany
- Charité – Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt‐Universität zu BerlinBerlinGermany
- Max‐Delbrück Center for Molecular Medicine in the Helmholtz AssociationBerlinGermany
- Neuroscience Clinical Research CenterCharité – Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt‐Universität zu BerlinBerlinGermany
- Einstein Center Digital FutureBerlinGermany
| | - Friedemann Paul
- Experimental and Clinical Research Center, a cooperation between the Max Delbrück Center for Molecular Medicine in the Helmholtz Association and the Charité – Universitätsmedizin BerlinBerlinGermany
- Charité – Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt‐Universität zu BerlinBerlinGermany
- Max‐Delbrück Center for Molecular Medicine in the Helmholtz AssociationBerlinGermany
- Department of NeurologyCharité – Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt‐Universität zu BerlinBerlinGermany
- Neuroscience Clinical Research CenterCharité – Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt‐Universität zu BerlinBerlinGermany
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Hemsley KM, Beard H, Chidlow G, Mammone T, Winner LK, Neumann D, King B, Snel MF, Trim PJ, Casson RJ. Repetitive, non-invasive imaging of neurodegeneration, and prevention of it with gene replacement, in mice with Sanfilippo syndrome. Exp Neurol 2024; 371:114610. [PMID: 37944880 DOI: 10.1016/j.expneurol.2023.114610] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2023] [Revised: 10/22/2023] [Accepted: 11/06/2023] [Indexed: 11/12/2023]
Abstract
Hampering assessment of treatment outcomes in gene therapy and other clinical trials in patients with childhood dementia is the lack of an objective, non-invasive measure of neurodegeneration. Optical coherence tomography (OCT) is a widely available, rapid, non-invasive, and quantitative method for examining the integrity of the neuroretina. Profound brain and retinal dysfunction occur in patients and animal models of childhood dementia, including Sanfilippo syndrome and we recently revealed a correlation between the age of onset and rate of progression of retinal and brain degeneration in sulfamidase-deficient Sanfilippo mice. The aim of the current study was to use OCT to visualise the discrete changes in retinal structure that occur during disease progression. A progressive decline in retinal thickness was readily observable in Sanfilippo mice using OCT, with differences seen in affected animals from 10-weeks of age. OCT applied to i.v. AAV9-sulfamidase-treated Sanfilippo mice enabled visualisation of improved retinal anatomy in living animals, an outcome confirmed via histology. Importantly, brain disease lesions were also ameliorated in treated Sanfilippo mice. The findings highlight the sensitivity, ease of repetitive use and quantitative capacity of OCT for detection of discrete changes in retinal structure and their prevention with a therapeutic. Combined with the knowledge that retinal and brain degeneration are correlated in Sanfilippo syndrome, OCT provides a window to the brain in this and potentially other childhood dementias.
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Affiliation(s)
- Kim M Hemsley
- Childhood Dementia Research Group, Hopwood Centre for Neurobiology, Lifelong Health Theme, South Australian Health and Medical Research Institute, Adelaide, SA, Australia.
| | - Helen Beard
- Childhood Dementia Research Group, Hopwood Centre for Neurobiology, Lifelong Health Theme, South Australian Health and Medical Research Institute, Adelaide, SA, Australia
| | - Glyn Chidlow
- Ophthalmic Research Laboratories, Discipline of Ophthalmology and Visual Sciences, University of Adelaide, Adelaide, SA, Australia
| | - Teresa Mammone
- Ophthalmic Research Laboratories, Discipline of Ophthalmology and Visual Sciences, University of Adelaide, Adelaide, SA, Australia
| | - Leanne K Winner
- Childhood Dementia Research Group, Hopwood Centre for Neurobiology, Lifelong Health Theme, South Australian Health and Medical Research Institute, Adelaide, SA, Australia
| | - Daniel Neumann
- Childhood Dementia Research Group, Hopwood Centre for Neurobiology, Lifelong Health Theme, South Australian Health and Medical Research Institute, Adelaide, SA, Australia
| | - Barbara King
- Childhood Dementia Research Group, Hopwood Centre for Neurobiology, Lifelong Health Theme, South Australian Health and Medical Research Institute, Adelaide, SA, Australia
| | - Marten F Snel
- Proteomics, Metabolomics and MS-Imaging Facility, South Australian Health, and Medical Research Institute, Adelaide, SA, Australia
| | - Paul J Trim
- Proteomics, Metabolomics and MS-Imaging Facility, South Australian Health, and Medical Research Institute, Adelaide, SA, Australia
| | - Robert J Casson
- Ophthalmic Research Laboratories, Discipline of Ophthalmology and Visual Sciences, University of Adelaide, Adelaide, SA, Australia
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7
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Oh J, Airas L, Harrison D, Järvinen E, Livingston T, Lanker S, Malik RA, Okuda DT, Villoslada P, de Vries HE. Neuroimaging to monitor worsening of multiple sclerosis: advances supported by the grant for multiple sclerosis innovation. Front Neurol 2023; 14:1319869. [PMID: 38107636 PMCID: PMC10722910 DOI: 10.3389/fneur.2023.1319869] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2023] [Accepted: 11/13/2023] [Indexed: 12/19/2023] Open
Abstract
Key unmet needs in multiple sclerosis (MS) include detection of early pathology, disability worsening independent of relapses, and accurate monitoring of treatment response. Collaborative approaches to address these unmet needs have been driven in part by industry-academic networks and initiatives such as the Grant for Multiple Sclerosis Innovation (GMSI) and Multiple Sclerosis Leadership and Innovation Network (MS-LINK™) programs. We review the application of recent advances, supported by the GMSI and MS-LINK™ programs, in neuroimaging technology to quantify pathology related to central pathology and disease worsening, and potential for their translation into clinical practice/trials. GMSI-supported advances in neuroimaging methods and biomarkers include developments in magnetic resonance imaging, positron emission tomography, ocular imaging, and machine learning. However, longitudinal studies are required to facilitate translation of these measures to the clinic and to justify their inclusion as endpoints in clinical trials of new therapeutics for MS. Novel neuroimaging measures and other biomarkers, combined with artificial intelligence, may enable accurate prediction and monitoring of MS worsening in the clinic, and may also be used as endpoints in clinical trials of new therapies for MS targeting relapse-independent disease pathology.
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Affiliation(s)
- Jiwon Oh
- Division of Neurology, St. Michael’s Hospital, Department of Medicine, University of Toronto, Toronto, ON, Canada
- Department of Neurology, Johns Hopkins University, Baltimore, MD, United States
| | - Laura Airas
- Turku PET Centre, Turku University Hospital and University of Turku, Turku, Finland
- Division of Clinical Neurosciences, Turku University Hospital and University of Turku, Turku, Finland
| | - Daniel Harrison
- Department of Neurology, University of Maryland School of Medicine, Baltimore, MD, United States
- Baltimore VA Medical Center, VA Maryland Healthcare System, Baltimore, MD, United States
| | - Elina Järvinen
- Neurology and Immunology, Medical Unit N&I, Merck OY (an affiliate of Merck KGaA), Espoo, Finland
| | - Terrie Livingston
- Patient Solutions and Center of Excellence Strategic Engagement, EMD Serono, Inc., Rockland, MA, United States
| | - Stefan Lanker
- Neurology & Immunology, US Medical Affairs, EMD Serono Research & Development Institute, Inc., (an affiliate of Merck KGaA), Billerica, MA, United States
| | - Rayaz A. Malik
- Weill Cornell Medicine-Qatar, Research Division, Doha, Qatar
- Institute of Cardiovascular Sciences, University of Manchester, Manchester, United Kingdom
| | - Darin T. Okuda
- Department of Neurology, Neuroinnovation Program, Multiple Sclerosis and Neuroimmunology Imaging Program, Clinical Center for Multiple Sclerosis, UT Southwestern Medical Center, Dallas, TX, United States
| | - Pablo Villoslada
- August Pi i Sunyer Biomedical Research Institute (IDIBAPS), Barcelona, Spain
| | - Helga E. de Vries
- MS Center Amsterdam, Department of Molecular Cell Biology and Immunology, Vrije Universiteit Amsterdam, Amsterdam Neuroscience, Amsterdam University Medical Centers (Amsterdam UMC), Location VUmc, Amsterdam, Netherlands
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8
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Harris G, Rickard JJS, Butt G, Kelleher L, Blanch RJ, Cooper J, Oppenheimer PG. Review: Emerging Eye-Based Diagnostic Technologies for Traumatic Brain Injury. IEEE Rev Biomed Eng 2023; 16:530-559. [PMID: 35320105 PMCID: PMC9888755 DOI: 10.1109/rbme.2022.3161352] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2021] [Revised: 02/11/2022] [Accepted: 03/15/2022] [Indexed: 11/06/2022]
Abstract
The study of ocular manifestations of neurodegenerative disorders, Oculomics, is a growing field of investigation for early diagnostics, enabling structural and chemical biomarkers to be monitored overtime to predict prognosis. Traumatic brain injury (TBI) triggers a cascade of events harmful to the brain, which can lead to neurodegeneration. TBI, termed the "silent epidemic" is becoming a leading cause of death and disability worldwide. There is currently no effective diagnostic tool for TBI, and yet, early-intervention is known to considerably shorten hospital stays, improve outcomes, fasten neurological recovery and lower mortality rates, highlighting the unmet need for techniques capable of rapid and accurate point-of-care diagnostics, implemented in the earliest stages. This review focuses on the latest advances in the main neuropathophysiological responses and the achievements and shortfalls of TBI diagnostic methods. Validated and emerging TBI-indicative biomarkers are outlined and linked to ocular neuro-disorders. Methods detecting structural and chemical ocular responses to TBI are categorised along with prospective chemical and physical sensing techniques. Particular attention is drawn to the potential of Raman spectroscopy as a non-invasive sensing of neurological molecular signatures in the ocular projections of the brain, laying the platform for the first tangible path towards alternative point-of-care diagnostic technologies for TBI.
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Affiliation(s)
- Georgia Harris
- School of Chemical Engineering, Advanced Nanomaterials Structures and Applications Laboratories, College of Engineering and Physical SciencesUniversity of BirminghamB15 2TTBirminghamU.K.
| | - Jonathan James Stanley Rickard
- School of Chemical Engineering, Advanced Nanomaterials Structures and Applications Laboratories, College of Engineering and Physical SciencesUniversity of BirminghamB15 2TTBirminghamU.K.
- Department of Physics, Cavendish LaboratoryUniversity of CambridgeCB3 0HECambridgeU.K.
| | - Gibran Butt
- Ophthalmology DepartmentUniversity Hospitals Birmingham NHS Foundation TrustB15 2THBirminghamU.K.
| | - Liam Kelleher
- School of Chemical Engineering, Advanced Nanomaterials Structures and Applications Laboratories, College of Engineering and Physical SciencesUniversity of BirminghamB15 2TTBirminghamU.K.
| | - Richard James Blanch
- Department of Military Surgery and TraumaRoyal Centre for Defence MedicineB15 2THBirminghamU.K.
- Neuroscience and Ophthalmology, Department of Ophthalmology, University Hospitals Birmingham NHS Foundation TrustcBirminghamU.K.
| | - Jonathan Cooper
- School of Biomedical EngineeringUniversity of GlasgowG12 8LTGlasgowU.K.
| | - Pola Goldberg Oppenheimer
- School of Chemical Engineering, Advanced Nanomaterials Structures and Applications Laboratories, College of Engineering and Physical SciencesUniversity of BirminghamB15 2TTBirminghamU.K.
- Healthcare Technologies Institute, Institute of Translational MedicineB15 2THBirminghamU.K.
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9
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Javadi AHS, Shafikhani AA, Beizapour N. Evaluation of the determinants of cognitive dysfunction in patients with multiple sclerosis. MIDDLE EAST CURRENT PSYCHIATRY 2022. [DOI: 10.1186/s43045-022-00262-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022] Open
Abstract
Abstract
Background
Cognitive dysfunction is common among patients with multiple sclerosis (MS); however, the determinants of cognitive dysfunction are still unknown. This study aimed to investigate the determinants of cognitive dysfunction in a relatively large sample of patients with MS for rapid screening.
Results
Fifty-three patients (33.6%) had cognitive dysfunction. According to the Wechsler Memory Scale, patients with relapsing-remitting MS (RRMS) and patients with progressive MS (PMS) had significantly lower scores than the control group. Patients with RRMS compared to the control group were 76.73 ± 8.50 versus 105.58 ± 8.71 (P < 0.01), and patients with PMS compared to the control group were 72.56 ± 6.44 versus 105.58 ± 8.71 (P < 0.01). In patients with RRMS, the factors affecting the emergence of cognitive dysfunction included disability, fatigue, depression, and duration of illness, whereas in patients with PMS, just the disability variable was related to the presence or absence of cognitive dysfunction.
Conclusions
Our findings showed that disability, fatigue, depression, and duration of illness were factors associated with cognitive dysfunction in patients with RRMS. Proper identification of these factors can be helpful in the screening of cognitive dysfunction in this population.
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Cordano C, Nourbakhsh B, Yiu HH, Papinutto N, Caverzasi E, Abdelhak A, Oertel FC, Beaudry-Richard A, Santaniello A, Sacco S, Bennett DJ, Gomez A, Sigurdson CJ, Hauser SL, Magliozzi R, Cree BA, Henry RG, Green AJ. Differences in Age-related Retinal and Cortical Atrophy Rates in Multiple Sclerosis. Neurology 2022; 99:e1685-e1693. [PMID: 36038272 PMCID: PMC9559941 DOI: 10.1212/wnl.0000000000200977] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2022] [Accepted: 06/01/2022] [Indexed: 11/15/2022] Open
Abstract
BACKGROUND AND OBJECTIVES The timing of neurodegeneration in multiple sclerosis (MS) remains unclear. It is critical to understand the dynamics of neuroaxonal loss if we hope to prevent or forestall permanent disability in MS. We therefore used a deeply phenotyped longitudinal cohort to assess and compare rates of neurodegeneration in retina and brain throughout the MS disease course. METHODS We analyzed 597 patients with MS who underwent longitudinal optical coherence tomography imaging annually for 4.5 ± 2.4 years and 432 patients who underwent longitudinal MRI scans for 10 ± 3.4 years, quantifying macular ganglion cell-inner plexiform layer (GCIPL) volume and cortical gray matter (CGM) volume. The association between the slope of decline in the anatomical structure and the age of entry in the cohort (categorized by the MRI cohort's age quartiles) was assessed by hierarchical linear models. RESULTS The rate of CGM volume loss declined with increasing age of study entry (1.3% per year atrophy for the age of entry in the cohort younger than 35 years; 1.1% for older than 35 years and younger than 41; 0.97% for older than 41 years and younger than 49; 0.9% for older than 49 years) while the rate of GCIPL thinning was highest in patients in the youngest quartile, fell by more than 50% in the following age quartile, and then stabilized (0.7% per year thinning for the age of entry in the cohort younger than 35 years; 0.29% for age older than 35 and younger than 41 years; 0.34% for older than 41 and younger than 49 years; 0.33% for age older than 49 years). DISCUSSION An age-dependent reduction in retinal and cortical volume loss rates during relapsing-remitting MS suggests deceleration in neurodegeneration in the earlier period of disease and further indicates that the period of greatest adaptive immune-mediated inflammatory activity is also the period with the greatest neuroaxonal loss.
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Affiliation(s)
- Christian Cordano
- From the Department of Neurology (C.C., N.P., E.C., A.A., F.C.O., A.B.-R., A.S., S.S., D.J.B., A.G., S.L.H., B.A.C.C., R.G.H., A.J.G.), UCSF Weill Institute for Neurosciences, University of California, San Francisco; Department of Neurology (B.N.), Johns Hopkins University School of Medicine, Baltimore, MD; Department of Biology (H.H.Y.), University of Maryland, College Park; Department of Pathology (C.J.S.), University of California, San Diego, La Jolla; and Department of Neurosciences (R.M.), Biomedicine and Movement Sciences, University of Verona, Italy.
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11
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Weinstock-Guttman B, Sormani MP, Repovic P. Predicting Long-term Disability in Multiple Sclerosis: A Narrative Review of Current Evidence and Future Directions. Int J MS Care 2022; 24:184-188. [PMID: 35875463 PMCID: PMC9296054 DOI: 10.7224/1537-2073.2020-114] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/25/2023]
Abstract
The ability to reliably monitor disease progression in patients with multiple sclerosis (MS) is integral to patient care. The Expanded Disability Status Scale (EDSS) is a commonly used tool to assess the disability status of patients with MS; however, it has limited sensitivity in detecting subtle changes in disability levels and, as a result, does not consistently provide clinicians with accurate insight into disease progression. At the 2019 European Committee for Treatment and Research in Multiple Sclerosis meeting in Stockholm, Sweden, a panel of neurologists met to discuss the limitations of the EDSS as a short-term predictor of MS progression. Before this panel discussion, a targeted literature review was conducted to evaluate published evidence on prognostic measures such as fatigue, physical assessments, and measures that are more taxing for patients, all of which may be useful to clinicians at different stages of the course of MS. This article summarizes currently available evidence in support of these measures. In addition, this article highlights the current state of expert clinical consensus regarding the current approaches used to predict and monitor disease progression and offers insight for future studies to assist clinicians in accurately monitoring disease progression in patients with MS.
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Affiliation(s)
- Bianca Weinstock-Guttman
- From the Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, State University of New York at Buffalo, Buffalo, NY, USA (BW-G)
| | - Maria Pia Sormani
- Department of Health Sciences, University of Genoa, Genoa, Italy (MPS)
| | - Pavle Repovic
- IRCCS Ospedale Policlinico San Martino, Genoa, Italy (MPS); and Swedish Medical Center at Seattle, Seattle, WA, USA (PR)
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12
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Olbert E, Struhal W. Retinal imaging with optical coherence tomography in multiple sclerosis: novel aspects. Wien Med Wochenschr 2022; 172:329-336. [PMID: 35347500 PMCID: PMC9606096 DOI: 10.1007/s10354-022-00925-2] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2021] [Accepted: 02/21/2022] [Indexed: 11/30/2022]
Abstract
Optical coherence tomography (OCT) is of increasing interest in the clinical assessment of multiple sclerosis (MS) patients beyond the scope of clinical studies. In this narrative review, we discuss novel changes of OCT parameters during acute optic neuritis and the disease course of MS patients. OCT images document the changes of retinal layers during an episode of acute optic neuritis and can therefore provide valuable insights into the pathophysiology. Moreover, MS patients show progredient thinning of retinal layers throughout the disease. The thinning is accelerated through relapses as well as disease progression without relapse. The OCT parameters are also associated with clinical outcome parameters, including disability, cognitive function, and brain atrophy. The impact of disease-modifying therapies on OCT parameters is the subject of ongoing research and depends on the agent used. Additional data are still necessary before OCT parameters can be implemented in the clinical standard of care of MS patients.
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Affiliation(s)
- Elisabeth Olbert
- Department of Neurology, University Hospital Tulln, Alter Ziegelweg 10, 3430, Tulln an der Donau, Austria. .,Karl Landsteiner University of Health Sciences, Tulln, Austria.
| | - Walter Struhal
- Department of Neurology, University Hospital Tulln, Alter Ziegelweg 10, 3430, Tulln an der Donau, Austria.,Karl Landsteiner University of Health Sciences, Tulln, Austria
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13
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Villoslada P. Personalized medicine for multiple sclerosis: How to integrate neurofilament light chain levels in the decision? Mult Scler 2021; 27:1967-1969. [PMID: 34612731 DOI: 10.1177/13524585211049552] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Affiliation(s)
- Pablo Villoslada
- Stanford University, Stanford, CA, USA/Institut d'Investigacions Biomediques August Pi Sunyer, Barcelona, Spain
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14
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Zhang R, Liu J, Xu B, Wu Y, Liang S, Yuan Q. Cornuside alleviates experimental autoimmune encephalomyelitis by inhibiting Th17 cell infiltration into the central nervous system. J Zhejiang Univ Sci B 2021; 22:421-430. [PMID: 33973423 DOI: 10.1631/jzus.b2000771] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
The present study was conducted to clarify the therapeutic effect of cornuside on experimental autoimmune encephalomyelitis (EAE) and its influence on T helper 17 (Th17) cell and regulatory T (Treg) cell infiltration into the central nervous system. Rats were randomly placed into four treatment groups: control, EAE, EAE+cornuside, and EAE+prednisolone. The neurological function scores of rats were assessed daily. On the second day after EAE rats began to show neurological deficit symptoms, the four groups were treated with normal saline, normal saline, cornuside (150 mg/kg), and prednisolone (5 mg/kg), respectively. The treatment was discontinued after two weeks, and the spinal cord was obtained for hematoxylin and eosin (H&E) and luxol fast blue staining, as well as retinoic acid receptor-related orphan receptor γ (RORγ) and forkhead box protein P3 (Foxp3) immunohistochemical staining. Blood was collected for Th17 and Treg cell flow cytometry testing, and the serum levels of interleukin (IL)-17A, IL-10, transforming growth factor-β (TGF-β), IL-6, IL-23, and IL-2 were measured via enzyme-linked immunosorbent assay (ELISA). Compared with rats in the EAE group, rats in the EAE+cornuside and EAE+prednisolone groups began to recover from neurological deficits earlier, and had a greater degree of improvement of symptoms. Focal inflammation, demyelination, and RORγ-positive cell infiltration were reduced by cornuside or prednisolone treatment, whereas the Foxp3-positive cell numbers were not significantly different. Meanwhile, the number of Th17 cells and the IL-17A, IL-6, and IL-23 levels were lower in the blood after cornuside or prednisolone treatment, whereas the number of Treg cells or the levels of IL-10, TGF-β, and IL-2 were not markedly different. Cornuside can alleviate symptoms of EAE neurological deficits through its anti-inflammatory and immunosuppressive effects, and Th17 cells may be one of its therapeutic targets.
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Affiliation(s)
- Rongbo Zhang
- Department of Neurology, the Second Affiliated Hospital of Zhejiang Chinese Medical University, Hangzhou 310005, China
| | - Jin Liu
- College of Pharmacy, Zhejiang Chinese Medical University, Hangzhou 310053, China
| | - Bin Xu
- Department of Neurology, the Second Affiliated Hospital of Zhejiang Chinese Medical University, Hangzhou 310005, China
| | - You Wu
- Department of Neurology, the Second Affiliated Hospital of Zhejiang Chinese Medical University, Hangzhou 310005, China
| | - Shunli Liang
- Department of Neurology, the Second Affiliated Hospital of Zhejiang Chinese Medical University, Hangzhou 310005, China
| | - Qiang Yuan
- College of Pharmacy, Zhejiang Chinese Medical University, Hangzhou 310053, China.
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15
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Alba-Arbalat S, Andorra M, Sanchez-Dalmau B, Camos-Carreras A, Dotti-Boada M, Pulido-Valdeolivas I, Llufriu S, Blanco Y, Sepulveda M, Saiz A, Batet O, Bilbao I, Torre I, Amat-Roldan I, Martinez-Lapiscina EH, Villoslada P. In Vivo Molecular Changes in the Retina of Patients With Multiple Sclerosis. Invest Ophthalmol Vis Sci 2021; 62:11. [PMID: 33974046 PMCID: PMC8114005 DOI: 10.1167/iovs.62.6.11] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022] Open
Abstract
Purpose Raman spectroscopy allows molecular changes to be quantified in vivo from the tissues like the retina. Here we aimed to assess the metabolic changes in the retina of patients with multiple sclerosis (MS). Methods We built a Raman spectroscopy prototype by connecting a scanning laser ophthalmoscope to a spectrophotometer. We defined the spectra of 10 molecules participating on energy supply, axon biology, or synaptic damage, which have been shown to be altered in the brain of patients with MS: cytochrome C, flavin adenine dinucleotide (FAD), nicotinamide adenine dinucleotide (NADH), N-acetyl-aspartate (NAA), excitotoxicity, glutamate, amyloid β (Aβ), τ and α-synuclein (SNCA), phosphatidyl-ethanolamine, and phosphatidyl-choline. We studied these molecules in a prospective cohort of patients with MS, either in the chronic phase or during relapses of acute optic neuritis (AON). Results Significant changes to all these molecules were associated with age in healthy individuals. There was a significant decrease in NADH and a trend toward a decrease in NAA in patients with MS, as well as an increase in Aβ compared with healthy controls. Moreover, NADH and FAD increased over time in a longitudinal analysis of patients with MS, whereas Aβ diminished. In patients with acute retinal inflammation due to AON, there was a significant increase in FAD and a decrease in SNCA in the affected retina. Moreover, glutamate levels increased in the affected eyes after a 6-month follow-up. Conclusions Alterations of molecules related to axonal degeneration are observed during neuroinflammation and show dynamic changes over time, suggesting progressive neurodegeneration.
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Affiliation(s)
- Salut Alba-Arbalat
- Center of Neuroimmunology, Institut d'Investigacions Biomediques August Pi Sunyer, Barcelona, Spain.,Department of Ophthalmology, Hospital Clinic, University of Barcelona, Barcelona, Spain
| | - Magi Andorra
- Center of Neuroimmunology, Institut d'Investigacions Biomediques August Pi Sunyer, Barcelona, Spain
| | - Bernardo Sanchez-Dalmau
- Center of Neuroimmunology, Institut d'Investigacions Biomediques August Pi Sunyer, Barcelona, Spain.,Department of Ophthalmology, Hospital Clinic, University of Barcelona, Barcelona, Spain
| | - Anna Camos-Carreras
- Center of Neuroimmunology, Institut d'Investigacions Biomediques August Pi Sunyer, Barcelona, Spain.,Department of Ophthalmology, Hospital Clinic, University of Barcelona, Barcelona, Spain
| | - Marina Dotti-Boada
- Center of Neuroimmunology, Institut d'Investigacions Biomediques August Pi Sunyer, Barcelona, Spain.,Department of Ophthalmology, Hospital Clinic, University of Barcelona, Barcelona, Spain
| | - Irene Pulido-Valdeolivas
- Center of Neuroimmunology, Institut d'Investigacions Biomediques August Pi Sunyer, Barcelona, Spain.,Department of Neurology, Hospital Clinic, University of Barcelona, Barcelona, Spain
| | - Sara Llufriu
- Center of Neuroimmunology, Institut d'Investigacions Biomediques August Pi Sunyer, Barcelona, Spain.,Department of Neurology, Hospital Clinic, University of Barcelona, Barcelona, Spain
| | - Yolanda Blanco
- Center of Neuroimmunology, Institut d'Investigacions Biomediques August Pi Sunyer, Barcelona, Spain.,Department of Neurology, Hospital Clinic, University of Barcelona, Barcelona, Spain
| | - Maria Sepulveda
- Center of Neuroimmunology, Institut d'Investigacions Biomediques August Pi Sunyer, Barcelona, Spain.,Department of Neurology, Hospital Clinic, University of Barcelona, Barcelona, Spain
| | - Albert Saiz
- Center of Neuroimmunology, Institut d'Investigacions Biomediques August Pi Sunyer, Barcelona, Spain.,Department of Neurology, Hospital Clinic, University of Barcelona, Barcelona, Spain.,Institut de Neurociències, University of Barcelona, Barcelona, Spain
| | | | | | | | | | - Elena H Martinez-Lapiscina
- Center of Neuroimmunology, Institut d'Investigacions Biomediques August Pi Sunyer, Barcelona, Spain.,Department of Neurology, Hospital Clinic, University of Barcelona, Barcelona, Spain
| | - Pablo Villoslada
- Center of Neuroimmunology, Institut d'Investigacions Biomediques August Pi Sunyer, Barcelona, Spain.,Stanford University, Stanford, California, United States
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16
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Villoslada P, Galetta SL, Toosy A. Seeing the Finish Line: Can Baseline OCT Values Predict Long-term Disability and Therapeutic Management in Multiple Sclerosis? Neurology 2021; 96:731-732. [PMID: 33653903 DOI: 10.1212/wnl.0000000000011793] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open
Affiliation(s)
- Pablo Villoslada
- From Stanford University (P.V.), CA; Langone Medical Center (S.L.G.), New York University, NY; and Queen Square MS Centre (A.T.), Department of Neuroinflammation, UCL Institute of Neurology, University College London, UK.
| | - Steven L Galetta
- From Stanford University (P.V.), CA; Langone Medical Center (S.L.G.), New York University, NY; and Queen Square MS Centre (A.T.), Department of Neuroinflammation, UCL Institute of Neurology, University College London, UK
| | - Ahmed Toosy
- From Stanford University (P.V.), CA; Langone Medical Center (S.L.G.), New York University, NY; and Queen Square MS Centre (A.T.), Department of Neuroinflammation, UCL Institute of Neurology, University College London, UK
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17
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Toosy AT, Kapur K, Nair KV. Is OCT a Viable Tool to Monitor Disease-Modifying Treatments in RRMS Yet? Neurology 2021; 96:927-928. [PMID: 33827959 DOI: 10.1212/wnl.0000000000011928] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open
Affiliation(s)
- Ahmed T Toosy
- From the Queen Square MS Centre (A.T.T.), Department of Neuroinflammation, UCL Institute of Neurology, Queen Square, London, UK; Department of Neurology (K.K.), Boston Children's Hospital, Harvard Medical School, MA; and Department of Neurology and Pharmacy (K.V.N.), University of Colorado Anschutz Medical Campus, Aurora.
| | - Kush Kapur
- From the Queen Square MS Centre (A.T.T.), Department of Neuroinflammation, UCL Institute of Neurology, Queen Square, London, UK; Department of Neurology (K.K.), Boston Children's Hospital, Harvard Medical School, MA; and Department of Neurology and Pharmacy (K.V.N.), University of Colorado Anschutz Medical Campus, Aurora
| | - Kavita V Nair
- From the Queen Square MS Centre (A.T.T.), Department of Neuroinflammation, UCL Institute of Neurology, Queen Square, London, UK; Department of Neurology (K.K.), Boston Children's Hospital, Harvard Medical School, MA; and Department of Neurology and Pharmacy (K.V.N.), University of Colorado Anschutz Medical Campus, Aurora
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Rahman MH, Rana HK, Peng S, Hu X, Chen C, Quinn JMW, Moni MA. Bioinformatics and machine learning methodologies to identify the effects of central nervous system disorders on glioblastoma progression. Brief Bioinform 2021; 22:6066369. [PMID: 33406529 DOI: 10.1093/bib/bbaa365] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2020] [Revised: 10/25/2020] [Accepted: 11/11/2020] [Indexed: 12/14/2022] Open
Abstract
Glioblastoma (GBM) is a common malignant brain tumor which often presents as a comorbidity with central nervous system (CNS) disorders. Both CNS disorders and GBM cells release glutamate and show an abnormality, but differ in cellular behavior. So, their etiology is not well understood, nor is it clear how CNS disorders influence GBM behavior or growth. This led us to employ a quantitative analytical framework to unravel shared differentially expressed genes (DEGs) and cell signaling pathways that could link CNS disorders and GBM using datasets acquired from the Gene Expression Omnibus database (GEO) and The Cancer Genome Atlas (TCGA) datasets where normal tissue and disease-affected tissue were examined. After identifying DEGs, we identified disease-gene association networks and signaling pathways and performed gene ontology (GO) analyses as well as hub protein identifications to predict the roles of these DEGs. We expanded our study to determine the significant genes that may play a role in GBM progression and the survival of the GBM patients by exploiting clinical and genetic factors using the Cox Proportional Hazard Model and the Kaplan-Meier estimator. In this study, 177 DEGs with 129 upregulated and 48 downregulated genes were identified. Our findings indicate new ways that CNS disorders may influence the incidence of GBM progression, growth or establishment and may also function as biomarkers for GBM prognosis and potential targets for therapies. Our comparison with gold standard databases also provides further proof to support the connection of our identified biomarkers in the pathology underlying the GBM progression.
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Affiliation(s)
- Md Habibur Rahman
- Institute of Automation Chinese Academy of Sciences, Beijing 100190, China.,University of Chinese Academy of Sciences, Beijing 100190, China.,Department of Computer Science and Engineering, Islamic University, Kushtia 7003, Bangladesh
| | - Humayan Kabir Rana
- Department of Computer Science and Engineering, Green University of Bangladesh, Bangladesh
| | - Silong Peng
- Institute of Automation Chinese Academy of Sciences, Beijing 100190, China.,University of Chinese Academy of Sciences, Beijing 100190, China
| | - Xiyuan Hu
- Institute of Automation Chinese Academy of Sciences, Beijing 100190, China.,University of Chinese Academy of Sciences, Beijing 100190, China
| | - Chen Chen
- Institute of Automation Chinese Academy of Sciences, Beijing 100190, China.,University of Chinese Academy of Sciences, Beijing 100190, China
| | - Julian M W Quinn
- Bone Biology Division, Garvan Institute of Medical Research, Darlinghurst, NSW, Australia.,The Surgical Education and Research Training Institute, Royal North Shore Hospital, Sydney, Australia
| | - Mohammad Ali Moni
- Bone Biology Division, Garvan Institute of Medical Research, Darlinghurst, NSW, Australia.,WHO Collaborating Centre on eHealth, School of Public Health and Community Medicine, Faculty of Medicine, The University of New South Wales, Sydney, Australia
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