Medicine (RMH) - Research Publications

Permanent URI for this collection

Search Results

Now showing 1 - 10 of 34
  • Item
    Thumbnail Image
    Gait and balance deterioration over a 12-month period in multiple sclerosis patients with EDSS scores ≤ 3.0
    Galea, MP ; Lizama, LEC ; Butzkueven, H ; Kilpatrick, TJ (IOS PRESS, 2017)
    BACKGROUND AND PURPOSE: It is not currently known whether gait and balance measures are responsive to deterioration of motor function in multiple sclerosis (MS) patients with low EDSS scores (≤3.0). The aim of this study was to quantify MS-related gait and balance deterioration over a 12-month period. METHODS: Thirty-eight participants with MS (33 female, mean age: 41.1 ± 8.3 years), mean time since diagnosis 2.2 ± 4.1 years, EDSS score ≤3.0 and without clinical evidence of gait deterioration, were recruited. Participants performed walking trials and Functional and Lateral Reach Tests. Kinematics of the ankle and knee, and electromyography of the tibialis anterior and medial gastrocnemius muscles were also measured. RESULTS: Three participants reported relapses with worsening EDSS scores and 4 non-relapsing participants had worse EDSS scores at 12 months. There were significant decreases in mean gait speed, stride length and balance scores, and a significant increase in double support. Marked changes in ankle kinematics, with decreased medial gastrocnemius activity were observed. CONCLUSION: Gait and balance performance of non-disabled RRMS participants may progressively decline, even in the absence of both acute clinical relapse and change in clinical status measured by the EDSS.
  • Item
    No Preview Available
    Fine-Mapping the Genetic Association of the Major Histocompatibility Complex in Multiple Sclerosis: HLA and Non-HLA Effects
    Patsopoulos, NA ; Barcellos, LF ; Hintzen, RQ ; Schaefer, C ; Van Duijn, CM ; Noble, JA ; Raj, T ; Gourraud, P-A ; Stranger, BE ; Oksenberg, J ; Olsson, T ; Taylor, BV ; Sawcer, S ; Hafler, DA ; Carrington, M ; De Jager, PL ; De Bakker, PIW ; Gibson, G (PUBLIC LIBRARY SCIENCE, 2013-11)
    The major histocompatibility complex (MHC) region is strongly associated with multiple sclerosis (MS) susceptibility. HLA-DRB1*15:01 has the strongest effect, and several other alleles have been reported at different levels of validation. Using SNP data from genome-wide studies, we imputed and tested classical alleles and amino acid polymorphisms in 8 classical human leukocyte antigen (HLA) genes in 5,091 cases and 9,595 controls. We identified 11 statistically independent effects overall: 6 HLA-DRB1 and one DPB1 alleles in class II, one HLA-A and two B alleles in class I, and one signal in a region spanning from MICB to LST1. This genomic segment does not contain any HLA class I or II genes and provides robust evidence for the involvement of a non-HLA risk allele within the MHC. Interestingly, this region contains the TNF gene, the cognate ligand of the well-validated TNFRSF1A MS susceptibility gene. The classical HLA effects can be explained to some extent by polymorphic amino acid positions in the peptide-binding grooves. This study dissects the independent effects in the MHC, a critical region for MS susceptibility that harbors multiple risk alleles.
  • Item
    No Preview Available
    Genetic risk and a primary role for cell-mediated immune mechanisms in multiple sclerosis
    Sawcer, S ; Hellenthal, G ; Pirinen, M ; Spencer, CCA ; Patsopoulos, NA ; Moutsianas, L ; Dilthey, A ; Su, Z ; Freeman, C ; Hunt, SE ; Edkins, S ; Gray, E ; Booth, DR ; Potter, SC ; Goris, A ; Band, G ; Oturai, AB ; Strange, A ; Saarela, J ; Bellenguez, C ; Fontaine, B ; Gillman, M ; Hemmer, B ; Gwilliam, R ; Zipp, F ; Jayakumar, A ; Martin, R ; Leslie, S ; Hawkins, S ; Giannoulatou, E ; D'alfonso, S ; Blackburn, H ; Boneschi, FM ; Liddle, J ; Harbo, HF ; Perez, ML ; Spurkland, A ; Waller, MJ ; Mycko, MP ; Ricketts, M ; Comabella, M ; Hammond, N ; Kockum, I ; McCann, OT ; Ban, M ; Whittaker, P ; Kemppinen, A ; Weston, P ; Hawkins, C ; Widaa, S ; Zajicek, J ; Dronov, S ; Robertson, N ; Bumpstead, SJ ; Barcellos, LF ; Ravindrarajah, R ; Abraham, R ; Alfredsson, L ; Ardlie, K ; Aubin, C ; Baker, A ; Baker, K ; Baranzini, SE ; Bergamaschi, L ; Bergamaschi, R ; Bernstein, A ; Berthele, A ; Boggild, M ; Bradfield, JP ; Brassat, D ; Broadley, SA ; Buck, D ; Butzkueven, H ; Capra, R ; Carroll, WM ; Cavalla, P ; Celius, EG ; Cepok, S ; Chiavacci, R ; Clerget-Darpoux, F ; Clysters, K ; Comi, G ; Cossburn, M ; Cournu-Rebeix, I ; Cox, MB ; Cozen, W ; Cree, BAC ; Cross, AH ; Cusi, D ; Daly, MJ ; Davis, E ; de Bakker, PIW ; Debouverie, M ; D'hooghe, MB ; Dixon, K ; Dobosi, R ; Dubois, B ; Ellinghaus, D ; Elovaara, I ; Esposito, F ; Fontenille, C ; Foote, S ; Franke, A ; Galimberti, D ; Ghezzi, A ; Glessner, J ; Gomez, R ; Gout, O ; Graham, C ; Grant, SFA ; Guerini, FR ; Hakonarson, H ; Hall, P ; Hamsten, A ; Hartung, H-P ; Heard, RN ; Heath, S ; Hobart, J ; Hoshi, M ; Infante-Duarte, C ; Ingram, G ; Ingram, W ; Islam, T ; Jagodic, M ; Kabesch, M ; Kermode, AG ; Kilpatrick, TJ ; Kim, C ; Klopp, N ; Koivisto, K ; Larsson, M ; Lathrop, M ; Lechner-Scott, JS ; Leone, MA ; Leppa, V ; Liljedahl, U ; Bomfim, IL ; Lincoln, RR ; Link, J ; Liu, J ; Lorentzen, AR ; Lupoli, S ; Macciardi, F ; Mack, T ; Marriott, M ; Martinelli, V ; Mason, D ; McCauley, JL ; Mentch, F ; Mero, I-L ; Mihalova, T ; Montalban, X ; Mottershead, J ; Myhr, K-M ; Naldi, P ; Ollier, W ; Page, A ; Palotie, A ; Pelletier, J ; Piccio, L ; Pickersgill, T ; Piehl, F ; Pobywajlo, S ; Quach, HL ; Ramsay, PP ; Reunanen, M ; Reynolds, R ; Rioux, J ; Rodegher, M ; Roesner, S ; Rubio, JP ; Rueckert, I-M ; Salvetti, M ; Salvi, E ; Santaniello, A ; Schaefer, CA ; Schreiber, S ; Schulze, C ; Scott, RJ ; Sellebjerg, F ; Selmaj, KW ; Sexton, D ; Shen, L ; Simms-Acuna, B ; Skidmore, S ; Sleiman, PMA ; Smestad, C ; Sorensen, PS ; Sondergaard, HB ; Stankovich, J ; Strange, RC ; Sulonen, A-M ; Sundqvist, E ; Syvaenen, A-C ; Taddeo, F ; Taylor, B ; Blackwell, JM ; Tienari, P ; Bramon, E ; Tourbah, A ; Brown, MA ; Tronczynska, E ; Casas, JP ; Tubridy, N ; Corvin, A ; Vickery, J ; Jankowski, J ; Villoslada, P ; Markus, HS ; Wang, K ; Mathew, CG ; Wason, J ; Palmer, CNA ; Wichmann, H-E ; Plomin, R ; Willoughby, E ; Rautanen, A ; Winkelmann, J ; Wittig, M ; Trembath, RC ; Yaouanq, J ; Viswanathan, AC ; Zhang, H ; Wood, NW ; Zuvich, R ; Deloukas, P ; Langford, C ; Duncanson, A ; Oksenberg, JR ; Pericak-Vance, MA ; Haines, JL ; Olsson, T ; Hillert, J ; Ivinson, AJ ; De Jager, PL ; Peltonen, L ; Stewart, GJ ; Hafler, DA ; Hauser, SL ; McVean, G ; Donnelly, P ; Compston, A (NATURE PUBLISHING GROUP, 2011-08-11)
    Multiple sclerosis is a common disease of the central nervous system in which the interplay between inflammatory and neurodegenerative processes typically results in intermittent neurological disturbance followed by progressive accumulation of disability. Epidemiological studies have shown that genetic factors are primarily responsible for the substantially increased frequency of the disease seen in the relatives of affected individuals, and systematic attempts to identify linkage in multiplex families have confirmed that variation within the major histocompatibility complex (MHC) exerts the greatest individual effect on risk. Modestly powered genome-wide association studies (GWAS) have enabled more than 20 additional risk loci to be identified and have shown that multiple variants exerting modest individual effects have a key role in disease susceptibility. Most of the genetic architecture underlying susceptibility to the disease remains to be defined and is anticipated to require the analysis of sample sizes that are beyond the numbers currently available to individual research groups. In a collaborative GWAS involving 9,772 cases of European descent collected by 23 research groups working in 15 different countries, we have replicated almost all of the previously suggested associations and identified at least a further 29 novel susceptibility loci. Within the MHC we have refined the identity of the HLA-DRB1 risk alleles and confirmed that variation in the HLA-A gene underlies the independent protective effect attributable to the class I region. Immunologically relevant genes are significantly overrepresented among those mapping close to the identified loci and particularly implicate T-helper-cell differentiation in the pathogenesis of multiple sclerosis.
  • Item
    Thumbnail Image
    A "Candidate-Interactome" Aggregate Analysis of Genome-Wide Association Data in Multiple Sclerosis
    Mechelli, R ; Umeton, R ; Policano, C ; Annibali, V ; Coarelli, G ; Ricigliano, VAG ; Vittori, D ; Fornasiero, A ; Buscarinu, MC ; Romano, S ; Salvetti, M ; Ristori, G ; Zhang, L (PUBLIC LIBRARY SCIENCE, 2013-05-16)
    Though difficult, the study of gene-environment interactions in multifactorial diseases is crucial for interpreting the relevance of non-heritable factors and prevents from overlooking genetic associations with small but measurable effects. We propose a "candidate interactome" (i.e. a group of genes whose products are known to physically interact with environmental factors that may be relevant for disease pathogenesis) analysis of genome-wide association data in multiple sclerosis. We looked for statistical enrichment of associations among interactomes that, at the current state of knowledge, may be representative of gene-environment interactions of potential, uncertain or unlikely relevance for multiple sclerosis pathogenesis: Epstein-Barr virus, human immunodeficiency virus, hepatitis B virus, hepatitis C virus, cytomegalovirus, HHV8-Kaposi sarcoma, H1N1-influenza, JC virus, human innate immunity interactome for type I interferon, autoimmune regulator, vitamin D receptor, aryl hydrocarbon receptor and a panel of proteins targeted by 70 innate immune-modulating viral open reading frames from 30 viral species. Interactomes were either obtained from the literature or were manually curated. The P values of all single nucleotide polymorphism mapping to a given interactome were obtained from the last genome-wide association study of the International Multiple Sclerosis Genetics Consortium & the Wellcome Trust Case Control Consortium, 2. The interaction between genotype and Epstein Barr virus emerges as relevant for multiple sclerosis etiology. However, in line with recent data on the coexistence of common and unique strategies used by viruses to perturb the human molecular system, also other viruses have a similar potential, though probably less relevant in epidemiological terms.
  • Item
    Thumbnail Image
    Persistence on therapy and propensity matched outcome comparison of two subcutaneous interferon beta 1a dosages for multiple sclerosis.
    Kalincik, T ; Spelman, T ; Trojano, M ; Duquette, P ; Izquierdo, G ; Grammond, P ; Lugaresi, A ; Hupperts, R ; Cristiano, E ; Van Pesch, V ; Grand'maison, F ; La Spitaleri, D ; Rio, ME ; Flechter, S ; Oreja-Guevara, C ; Giuliani, G ; Savino, A ; Amato, MP ; Petersen, T ; Fernandez-Bolanos, R ; Bergamaschi, R ; Iuliano, G ; Boz, C ; Lechner-Scott, J ; Deri, N ; Gray, O ; Verheul, F ; Fiol, M ; Barnett, M ; van Munster, E ; Santiago, V ; Moore, F ; Slee, M ; Saladino, ML ; Alroughani, R ; Shaw, C ; Kasa, K ; Petkovska-Boskova, T ; den Braber-Moerland, L ; Chapman, J ; Skromne, E ; Herbert, J ; Poehlau, D ; Needham, M ; Bacile, EAB ; Arruda, WO ; Paine, M ; Singhal, B ; Vucic, S ; Cabrera-Gomez, JA ; Butzkueven, H ; MSBase Study Group, ; Derfuss, T (Public Library of Science (PLoS), 2013)
    OBJECTIVES: To compare treatment persistence between two dosages of interferon β-1a in a large observational multiple sclerosis registry and assess disease outcomes of first line MS treatment at these dosages using propensity scoring to adjust for baseline imbalance in disease characteristics. METHODS: Treatment discontinuations were evaluated in all patients within the MSBase registry who commenced interferon β-1a SC thrice weekly (n = 4678). Furthermore, we assessed 2-year clinical outcomes in 1220 patients treated with interferon β-1a in either dosage (22 µg or 44 µg) as their first disease modifying agent, matched on propensity score calculated from pre-treatment demographic and clinical variables. A subgroup analysis was performed on 456 matched patients who also had baseline MRI variables recorded. RESULTS: Overall, 4054 treatment discontinuations were recorded in 3059 patients. The patients receiving the lower interferon dosage were more likely to discontinue treatment than those with the higher dosage (25% vs. 20% annual probability of discontinuation, respectively). This was seen in discontinuations with reasons recorded as "lack of efficacy" (3.3% vs. 1.7%), "scheduled stop" (2.2% vs. 1.3%) or without the reason recorded (16.7% vs. 13.3% annual discontinuation rate, 22 µg vs. 44 µg dosage, respectively). Propensity score was determined by treating centre and disability (score without MRI parameters) or centre, sex and number of contrast-enhancing lesions (score including MRI parameters). No differences in clinical outcomes at two years (relapse rate, time relapse-free and disability) were observed between the matched patients treated with either of the interferon dosages. CONCLUSIONS: Treatment discontinuations were more common in interferon β-1a 22 µg SC thrice weekly. However, 2-year clinical outcomes did not differ between patients receiving the different dosages, thus replicating in a registry dataset derived from "real-world" database the results of the pivotal randomised trial. Propensity score matching effectively minimised baseline covariate imbalance between two directly compared sub-populations from a large observational registry.
  • Item
    Thumbnail Image
    Identity-by-Descent Mapping to Detect Rare Variants Conferring Susceptibility to Multiple Sclerosis
    Lin, R ; Charlesworth, J ; Stankovich, J ; Perreau, VM ; Brown, MA ; Taylor, BV ; Toland, AE (PUBLIC LIBRARY SCIENCE, 2013-03-05)
    Genome-wide association studies (GWAS) have identified around 60 common variants associated with multiple sclerosis (MS), but these loci only explain a fraction of the heritability of MS. Some missing heritability may be caused by rare variants that have been suggested to play an important role in the aetiology of complex diseases such as MS. However current genetic and statistical methods for detecting rare variants are expensive and time consuming. 'Population-based linkage analysis' (PBLA) or so called identity-by-descent (IBD) mapping is a novel way to detect rare variants in extant GWAS datasets. We employed BEAGLE fastIBD to search for rare MS variants utilising IBD mapping in a large GWAS dataset of 3,543 cases and 5,898 controls. We identified a genome-wide significant linkage signal on chromosome 19 (LOD = 4.65; p = 1.9×10(-6)). Network analysis of cases and controls sharing haplotypes on chromosome 19 further strengthened the association as there are more large networks of cases sharing haplotypes than controls. This linkage region includes a cluster of zinc finger genes of unknown function. Analysis of genome wide transcriptome data suggests that genes in this zinc finger cluster may be involved in very early developmental regulation of the CNS. Our study also indicates that BEAGLE fastIBD allowed identification of rare variants in large unrelated population with moderate computational intensity. Even with the development of whole-genome sequencing, IBD mapping still may be a promising way to narrow down the region of interest for sequencing priority.
  • Item
    Thumbnail Image
    MicroRNAs miR-17 and miR-20a Inhibit T Cell Activation Genes and Are Under-Expressed in MS Whole Blood
    Cox, MB ; Cairns, MJ ; Gandhi, KS ; Carroll, AP ; Moscovis, S ; Stewart, GJ ; Broadley, S ; Scott, RJ ; Booth, DR ; Lechner-Scott, J ; Jacobson, S (PUBLIC LIBRARY SCIENCE, 2010-08-11)
    It is well established that Multiple Sclerosis (MS) is an immune mediated disease. Little is known about what drives the differential control of the immune system in MS patients compared to unaffected individuals. MicroRNAs (miRNAs) are small non-coding nucleic acids that are involved in the control of gene expression. Their potential role in T cell activation and neurodegenerative disease has recently been recognised and they are therefore excellent candidates for further studies in MS. We investigated the transcriptome of currently known miRNAs using miRNA microarray analysis in peripheral blood samples of 59 treatment naïve MS patients and 37 controls. Of these 59, 18 had a primary progressive, 17 a secondary progressive and 24 a relapsing remitting disease course. In all MS subtypes miR-17 and miR-20a were significantly under-expressed in MS, confirmed by RT-PCR. We demonstrate that these miRNAs modulate T cell activation genes in a knock-in and knock-down T cell model. The same T cell activation genes are also up-regulated in MS whole blood mRNA, suggesting these miRNAs or their analogues may provide useful targets for new therapeutic approaches.
  • Item
    Thumbnail Image
    Modeling the cumulative genetic risk for multiple sclerosis from genome-wide association data
    Wang, JH ; Pappas, D ; De Jager, PL ; Pelletier, D ; de Bakker, PIW ; Kappos, L ; Polman, CH ; Chibnik, LB ; Hafler, DA ; Matthews, PM ; Hauser, SL ; Baranzini, SE ; Oksenberg, JR (BMC, 2011)
    BACKGROUND: Multiple sclerosis (MS) is the most common cause of chronic neurologic disability beginning in early to middle adult life. Results from recent genome-wide association studies (GWAS) have substantially lengthened the list of disease loci and provide convincing evidence supporting a multifactorial and polygenic model of inheritance. Nevertheless, the knowledge of MS genetics remains incomplete, with many risk alleles still to be revealed. METHODS: We used a discovery GWAS dataset (8,844 samples, 2,124 cases and 6,720 controls) and a multi-step logistic regression protocol to identify novel genetic associations. The emerging genetic profile included 350 independent markers and was used to calculate and estimate the cumulative genetic risk in an independent validation dataset (3,606 samples). Analysis of covariance (ANCOVA) was implemented to compare clinical characteristics of individuals with various degrees of genetic risk. Gene ontology and pathway enrichment analysis was done using the DAVID functional annotation tool, the GO Tree Machine, and the Pathway-Express profiling tool. RESULTS: In the discovery dataset, the median cumulative genetic risk (P-Hat) was 0.903 and 0.007 in the case and control groups, respectively, together with 79.9% classification sensitivity and 95.8% specificity. The identified profile shows a significant enrichment of genes involved in the immune response, cell adhesion, cell communication/signaling, nervous system development, and neuronal signaling, including ionotropic glutamate receptors, which have been implicated in the pathological mechanism driving neurodegeneration. In the validation dataset, the median cumulative genetic risk was 0.59 and 0.32 in the case and control groups, respectively, with classification sensitivity 62.3% and specificity 75.9%. No differences in disease progression or T2-lesion volumes were observed among four levels of predicted genetic risk groups (high, medium, low, misclassified). On the other hand, a significant difference (F = 2.75, P = 0.04) was detected for age of disease onset between the affected misclassified as controls (mean = 36 years) and the other three groups (high, 33.5 years; medium, 33.4 years; low, 33.1 years). CONCLUSIONS: The results are consistent with the polygenic model of inheritance. The cumulative genetic risk established using currently available genome-wide association data provides important insights into disease heterogeneity and completeness of current knowledge in MS genetics.
  • Item
    Thumbnail Image
    A Transcription Factor Map as Revealed by a Genome-Wide Gene Expression Analysis of Whole-Blood mRNA Transcriptome in Multiple Sclerosis
    Riveros, C ; Mellor, D ; Gandhi, KS ; McKay, FC ; Cox, MB ; Berretta, R ; Vaezpour, SY ; Inostroza-Ponta, M ; Broadley, SA ; Heard, RN ; Vucic, S ; Stewart, GJ ; Williams, DW ; Scott, RJ ; Lechner-Scott, J ; Booth, DR ; Moscato, P ; Rattray, M (PUBLIC LIBRARY SCIENCE, 2010-12-01)
    BACKGROUND: Several lines of evidence suggest that transcription factors are involved in the pathogenesis of Multiple Sclerosis (MS) but complete mapping of the whole network has been elusive. One of the reasons is that there are several clinical subtypes of MS and transcription factors that may be involved in one subtype may not be in others. We investigate the possibility that this network could be mapped using microarray technologies and contemporary bioinformatics methods on a dataset derived from whole blood in 99 untreated MS patients (36 Relapse Remitting MS, 43 Primary Progressive MS, and 20 Secondary Progressive MS) and 45 age-matched healthy controls. METHODOLOGY/PRINCIPAL FINDINGS: We have used two different analytical methodologies: a non-standard differential expression analysis and a differential co-expression analysis, which have converged on a significant number of regulatory motifs that are statistically overrepresented in genes that are either differentially expressed (or differentially co-expressed) in cases and controls (e.g., V$KROX_Q6, p-value <3.31E-6; V$CREBP1_Q2, p-value <9.93E-6, V$YY1_02, p-value <1.65E-5). CONCLUSIONS/SIGNIFICANCE: Our analysis uncovered a network of transcription factors that potentially dysregulate several genes in MS or one or more of its disease subtypes. The most significant transcription factor motifs were for the Early Growth Response EGR/KROX family, ATF2, YY1 (Yin and Yang 1), E2F-1/DP-1 and E2F-4/DP-2 heterodimers, SOX5, and CREB and ATF families. These transcription factors are involved in early T-lymphocyte specification and commitment as well as in oligodendrocyte dedifferentiation and development, both pathways that have significant biological plausibility in MS causation.
  • Item
    Thumbnail Image
    Optic Nerve Diffusion Tensor Imaging after Acute Optic Neuritis Predicts Axonal and Visual Outcomes
    van der Walt, A ; Kolbe, SC ; Wang, YE ; Klistorner, A ; Shuey, N ; Ahmadi, G ; Paine, M ; Marriott, M ; Mitchell, P ; Egan, GF ; Butzkueven, H ; Kilpatrick, TJ ; Villoslada, P (PUBLIC LIBRARY SCIENCE, 2013-12-26)
    BACKGROUND: Early markers of axonal and clinical outcomes are required for early phase testing of putative neuroprotective therapies for multiple sclerosis (MS). OBJECTIVES: To assess whether early measurement of diffusion tensor imaging (DTI) parameters (axial and radial diffusivity) within the optic nerve during and after acute demyelinating optic neuritis (ON) could predict axonal (retinal nerve fibre layer thinning and multi-focal visual evoked potential amplitude reduction) or clinical (visual acuity and visual field loss) outcomes at 6 or 12 months. METHODS: Thirty-seven patients presenting with acute, unilateral ON were studied at baseline, one, three, six and 12 months using optic nerve DTI, clinical and paraclinical markers of axonal injury and clinical visual dysfunction. RESULTS: Affected nerve axial diffusivity (AD) was reduced at baseline, 1 and 3 months. Reduced 1-month AD correlated with retinal nerve fibre layer (RNFL) thinning at 6 (R=0.38, p=0.04) and 12 months (R=0.437, p=0.008) and VEP amplitude loss at 6 (R=0.414, p=0.019) and 12 months (R=0.484, p=0.003). AD reduction at three months correlated with high contrast visual acuity at 6 (ρ = -0.519, p = 0.001) and 12 months (ρ = -0.414, p=0.011). The time-course for AD reduction for each patient was modelled using a quadratic regression. AD normalised after a median of 18 weeks and longer normalisation times were associated with more pronounced RNFL thinning and mfVEP amplitude loss at 12 months. Affected nerve radial diffusivity (RD) was unchanged until three months, after which time it remained elevated. CONCLUSIONS: These results demonstrate that AD reduces during acute ON. One month AD reduction correlates with the extent of axonal loss and persistent AD reduction at 3 months predicts poorer visual outcomes. This suggests that acute ON therapies that normalise optic nerve AD by 3 months could also promote axon survival and improve visual outcomes.