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Healthcare breakthroughs are extending the lives of multiple sclerosis (MS) patients and cancer survivors, creating a growing cohort of individuals navigating a dual diagnosis. Determining the relationship between MS and cancer risk remains challenging, with inconclusive findings confounded by age, risk exposures, comorbidities, genetics and the ongoing introduction of new MS disease-modifying therapies (DMTs) across study periods.This research places significant emphasis on cancer survival, with less attention given to the impact on MS outcomes. Our review explores the existing literature on MS, cancer risk and the intersection of DMTs and cancer treatments. We aim to navigate the complexities of managing MS in cancer survivors to optimise outcomes for both conditions. Continuous research and the formulation of treatment guidelines are essential for guiding future care. Collaboration between neuro-immunology and oncology is crucial, with a need to establish databases for retrospective and ultimately prospective analysis of outcomes in these rapidly evolving fields., Competing Interests: Declaration of Conflicting InterestsThe author(s) declared the following potential conflicts of interest with respect to the research, authorship, and/or publication of this article: CN has received education-related travel expense reimbursement from Roche, Biogen, Merck and Genzyme and speaker honoraria from Biogen and MS Australia. AVdW served on advisory boards for Novartis, Biogen, Merck and Roche and NervGen. She received unrestricted research grants from Novartis, Biogen, Merck and Roche. She is currently a co-Principal investigator on a co-sponsored observational study with Roche, evaluating a Roche-developed smartphone app, Floodlight-MS. She has received speaker’s honoraria and travel support from Novartis, Roche, Biogen and Merck. She serves as the Chief operating Officer of the MSBase Foundation (not for profit). Her primary research support is from the National Health and Medical Research Council of Australia and MS Research Australia. HB is an employee of Alfred Health and Monash University and has accepted travel funding from Merck and Novartis. In the last 3 years, his institutions (Monash University, MSBase Foundation) have received honoraria for talks, steering committee activities and research grants from Roche, Merck, Novartis, Alexion, UCB Pharma and Biogen, the Medical Research Future Fund Australia, NHMRC Australia, Trish MS Foundation, MS Australia and the Pennycook Foundation. He is funded by an NHMRC Australia Investigator Grant. VGJ receives research grant support from the National Health and Medical Research Council of Australia, Multiple Sclerosis Australia and F. Hoffmann-La Roche. She has received speaker’s honoraria from Novartis and The Limbic. BD declared no potential conflict of interest.

Background: The International Multiple Sclerosis Genetics Consortium and MultipleMS Consortium recently reported a genetic variant associated with multiple sclerosis (MS) severity. However, it remains unclear if these variants remain associated with more robust, longitudinal measures of disease severity., Methods: We examined the top variant, rs10191329, from Harroud et al.'s study in 1813 relapse-onset MS patients from the MSBase Registry to assess association with longitudinal disease severity., Results: Our analysis revealed no significant association between rs10191329 genotype and longitudinal binary disease severity ( p > 0.05)., Conclusion: These findings highlight the complexity of genetic factors mediating long-term MS outcomes and the need for further research., Competing Interests: Declaration of Conflicting InterestsThe author(s) declared no potential conflicts of interest with respect to the research, authorship and/or publication of this article.

Background and Objectives: The impact of immunomodulatory therapies on the risk of cervical pre-cancer and invasive cancer development is important for the health and safety of women with multiple sclerosis (wwMS). We investigate the risk of cervical abnormalities in wwMS treated with disease-modifying therapies (DMTs)., Methods: This is a multicenter cohort study with data collected from 1998 to 2019 in Victoria, Australia. Data linkage was performed using matching records from the MSBase Registry, the National Human Papillomavirus (HPV) Vaccination Program Register, and the Victorian Cervical Cytology Register. The primary outcome was the detection of any type of cervical abnormality as determined by cytology or histology. Survival methods were used to assess the time to cervical abnormality detection on cervical screening tests (CSTs). Crude and adjusted Cox proportional hazards models were used to determine time to and magnitude of association of DMTs with the risk of cervical abnormality. In a sensitivity analysis, we constructed standardized survival curves averaged over the same set of covariates to determine the commensurate population-average (marginal) causal effects., Results: We included 248 wwMS. The incidence of abnormal CSTs was lower ( p < 0.001) for women not exposed to moderate-high-efficacy therapy (10.2 per 1,000 patient-years [95% confidence interval (CI) 5.5-14.9]), compared with those exposed (36.6 per 1,000 patient-years [95% CI 21.7-51.6]). Exposure to higher efficacy treatment was associated with a 3.79-fold increased hazard (95% CI 2.02-7.08, p < 0.001) of developing a cervical abnormality relative to those not exposed. When adjusted for vaccination status, smoking, hormonal contraceptive use, and socioeconomic status, the risk remained elevated at 3.79 (95% CI 1.99-7.21, p < 0.001). Marginal hazard ratios declined over time, ranging from 3.90 (95% CI 2.09-7.27) at 20 years of age to 2.06 (95% CI 1.14-3.73) at 70 years of age., Discussion: A greater than three-and-a-half-fold increased risk of cervical abnormalities was found after exposure to moderate-high-efficacy DMTs. This risk persisted despite adjusting for HPV vaccination status, hormonal contraception use, smoking, and socioeconomic status. If confirmed in future studies, we would advocate for wwMS exposed to moderate-high-efficacy DMTs to be treated in line with immune-deficient paradigm in cervical screening and HPV vaccination programs., Classification of Evidence: This study provides Class III evidence that highly active MS therapy compared with less active therapy increases the risk of developing cervical abnormalities among women with MS.

Aim: To evaluate the real-world comparative effectiveness and the cost-effectiveness, from a UK National Health Service perspective, of natalizumab versus fingolimod in patients with rapidly evolving severe relapsing-remitting multiple sclerosis (RES-RRMS)., Methods: Real-world data from the MSBase Registry were obtained for patients with RES-RRMS who were previously either naive to disease-modifying therapies or had been treated with interferon-based therapies, glatiramer acetate, dimethyl fumarate, or teriflunomide (collectively known as BRACETD). Matched cohorts were selected by 3-way multinomial propensity score matching, and the annualized relapse rate (ARR) and 6-month-confirmed disability worsening (CDW6M) and improvement (CDI6M) were compared between treatment groups. Comparative effectiveness results were used in a cost-effectiveness model comparing natalizumab and fingolimod, using an established Markov structure over a lifetime horizon with health states based on the Expanded Disability Status Scale. Additional model data sources included the UK MS Survey 2015, published literature, and publicly available sources., Results: In the comparative effectiveness analysis, we found a significantly lower ARR for patients starting natalizumab compared with fingolimod (rate ratio [RR] = 0.65; 95% confidence interval [CI], 0.57-0.73) or BRACETD (RR = 0.46; 95% CI, 0.42-0.53). Similarly, CDI6M was higher for patients starting natalizumab compared with fingolimod (hazard ratio [HR] = 1.25; 95% CI, 1.01-1.55) and BRACETD (HR = 1.46; 95% CI, 1.16-1.85). In patients starting fingolimod, we found a lower ARR (RR = 0.72; 95% CI, 0.65-0.80) compared with starting BRACETD, but no difference in CDI6M (HR = 1.17; 95% CI, 0.91-1.50). Differences in CDW6M were not found between the treatment groups. In the base-case cost-effectiveness analysis, natalizumab dominated fingolimod (0.302 higher quality-adjusted life-years [QALYs] and £17,141 lower predicted lifetime costs). Similar cost-effectiveness results were observed across sensitivity analyses., Conclusions: This MSBase Registry analysis suggests that natalizumab improves clinical outcomes when compared with fingolimod, which translates to higher QALYs and lower costs in UK patients with RES-RRMS.

Competing Interests: VGJ's institution receives grants from the Australian National Health and Medical Research Council (NHMRC), Multiple Sclerosis Australia, and F Hoffman La-Roche outside of this published work. VGJ has received travel support from the International Progressive MS Alliance; and is the chair of the MSBase Registry Scientific Leadership Group, deputy chair of the Australian and New Zealand MS Genetics Consortium, and an executive committee member of the International Women in Multiple Sclerosis network. HB's institution has received research grants or lecture fees from the Australian NHMRC, Biogen, Novartis, Roche, Merck, Alexion, and UCB outside of this published work. HB is an advisory board member for Novartis, Biogen, Merck, and Roche; a member of the MS Brain Health Steering Committee; and has received partial travel support to attend conferences from Merck and Novartis.

Multiple sclerosis (MS) is an autoimmune, demyelinating disease with the highest incidence in women of childbearing age. The effect of pregnancy on disease activity and progression is a primary concern for women with MS and their clinical teams. It is well established that inflammatory disease activity is naturally suppressed during pregnancy, followed by an increase postpartum. However, the long-term effect of pregnancy on disease progression is less understood. Having had a pregnancy before MS onset has been associated with an older age at first demyelinating event, an average delay of 3.4 years. After MS onset, there is conflicting evidence about the impact of pregnancy on long-term outcomes. The study with the longest follow-up to date showed that pregnancy was associated with a 0.36-point lower disability score after 10-years of disease in 1830 women. Understanding the biological mechanism by which pregnancy induces long-term beneficial effects on MS outcomes could provide mechanistic insights into the elusive determinants of secondary progression. Here, we review potential biological processes underlying this effect, including evidence that acute sex hormone exposure induces lasting changes to neurobiological and DNA methylation patterns, and how sustained methylation changes in immune cells can alter immune composition and function long-term., Competing Interests: Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2023 Elsevier B.V. All rights reserved.)

Epigenetic mechanisms can regulate how DNA is expressed independently of sequence and are known to be associated with various diseases. Among those epigenetic mechanisms, DNA methylation (DNAm) is influenced by genotype and the environment, making it an important molecular interface for studying disease etiology and progression. In this study, we examined the whole blood DNA methylation profiles of a large group of people with (pw) multiple sclerosis (MS) compared to those of controls. We reveal that methylation differences in pwMS occur independently of known genetic risk loci and show that they more strongly differentiate disease (AUC = 0.85, 95% CI 0.82-0.89, p = 1.22 × 10 -29 ) than known genetic risk loci (AUC = 0.72, 95% CI: 0.66-0.76, p = 9.07 × 10 -17 ). We also show that methylation differences in MS occur predominantly in B cells and monocytes and indicate the involvement of cell-specific biological pathways. Overall, this study comprehensively characterizes the immune cell-specific epigenetic architecture of MS.

Menopause, defined as the permanent cessation of ovarian function, represents a period of significant fluctuation in sex hormone concentrations. Sex hormones including oestrogen, progesterone, testosterone and anti-Mullerian hormone are thought have neuroinflammatory effects and are implicated in both neuroprotection and neurodegeneration. Sex hormones have a role in modifying clinical trajectory in multiple sclerosis (MS) throughout the lifespan. MS predominantly effects women and is typically diagnosed early in a woman's reproductive life. Most women with MS will undergo menopause. Despite this, the effect of menopause on MS disease course remains unclear. This review examines the relationship between sex hormones and MS disease activity and clinical course, particularly around the time of menopause. It will consider the role of interventions such as exogenous hormone replacement therapy in modulating clinical outcomes in this period. Understanding the impact of menopause on multiple sclerosis is fundamental for delivering optimal care to women with MS as they age and will inform treatment decisions with the aim of minimising relapses, disease accrual and improving quality of life., Competing Interests: Declaration of Competing Interest Francesca Bridge has received travel support from Biogen. Helmut Butzkueven served on scientific advisory boards for Biogen, Novartis and Sanofi-Aventis and received conference travel support from Novartis, Biogen and Sanofi Aventis. He serves on steering committees for trials conducted by Biogen and Novartis received research support from Merck, Novartis and Biogen. Anneke van der Walt has received travel support and served on advisory boards for Novartis, Biogen, Merck Serono, Roche and Teva. She receives grant support from the National Health and Medical Research Council of Australia. Vilija Jokubaitis receives research grant support form F.Hoffmann La-Roche, MS Research Australia and the National Health and Medical Research Council of Australia (NHMRC 1156519)., (Copyright © 2023 Elsevier B.V. All rights reserved.)

Multiple sclerosis is a leading cause of neurological disability in adults. Heterogeneity in multiple sclerosis clinical presentation has posed a major challenge for identifying genetic variants associated with disease outcomes. To overcome this challenge, we used prospectively ascertained clinical outcomes data from the largest international multiple sclerosis registry, MSBase. We assembled a cohort of deeply phenotyped individuals of European ancestry with relapse-onset multiple sclerosis. We used unbiased genome-wide association study and machine learning approaches to assess the genetic contribution to longitudinally defined multiple sclerosis severity phenotypes in 1813 individuals. Our primary analyses did not identify any genetic variants of moderate to large effect sizes that met genome-wide significance thresholds. The strongest signal was associated with rs7289446 (β = -0.4882, P = 2.73 × 10-7), intronic to SEZ6L on chromosome 22. However, we demonstrate that clinical outcomes in relapse-onset multiple sclerosis are associated with multiple genetic loci of small effect sizes. Using a machine learning approach incorporating over 62 000 variants together with clinical and demographic variables available at multiple sclerosis disease onset, we could predict severity with an area under the receiver operator curve of 0.84 (95% CI 0.79-0.88). Our machine learning algorithm achieved positive predictive value for outcome assignation of 80% and negative predictive value of 88%. This outperformed our machine learning algorithm that contained clinical and demographic variables alone (area under the receiver operator curve 0.54, 95% CI 0.48-0.60). Secondary, sex-stratified analyses identified two genetic loci that met genome-wide significance thresholds. One in females (rs10967273; βfemale = 0.8289, P = 3.52 × 10-8), the other in males (rs698805; βmale = -1.5395, P = 4.35 × 10-8), providing some evidence for sex dimorphism in multiple sclerosis severity. Tissue enrichment and pathway analyses identified an overrepresentation of genes expressed in CNS compartments generally, and specifically in the cerebellum (P = 0.023). These involved mitochondrial function, synaptic plasticity, oligodendroglial biology, cellular senescence, calcium and G-protein receptor signalling pathways. We further identified six variants with strong evidence for regulating clinical outcomes, the strongest signal again intronic to SEZ6L (adjusted hazard ratio 0.72, P = 4.85 × 10-4). Here we report a milestone in our progress towards understanding the clinical heterogeneity of multiple sclerosis outcomes, implicating functionally distinct mechanisms to multiple sclerosis risk. Importantly, we demonstrate that machine learning using common single nucleotide variant clusters, together with clinical variables readily available at diagnosis can improve prognostic capabilities at diagnosis, and with further validation has the potential to translate to meaningful clinical practice change., (© The Author(s) 2022. Published by Oxford University Press on behalf of the Guarantors of Brain. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.)

Introduction: Multiple Sclerosis (MS) has a complex pathophysiology that involves genetic and environmental factors. DNA methylation (DNAm) is one epigenetic mechanism that can reversibly modulate gene expression. Cell specific DNAm changes have been associated with MS, and some MS therapies such as dimethyl fumarate can influence DNAm. Interferon Beta (IFNβ), was one of the first disease modifying therapies in multiple sclerosis (MS). However, how IFNβ reduces disease burden in MS is not fully understood and little is known about the precise effect of IFNβ treatment on methylation., Methods: The objective of this study was to determine the changes in DNAm associated with INFβ use, using methylation arrays and statistical deconvolutions on two separate datasets (total n treated = 64, n untreated = 285)., Results: We show that IFNβ treatment in people with MS modifies the methylation profile of interferon response genes in a strong, targeted, and reproducible manner. Using these identified methylation differences, we constructed a methylation treatment score (MTS) that is an accurate discriminator between untreated and treated patients (Area under the curve = 0.83). This MTS is time-sensitive and in consistent with previously identified IFNβ treatment therapeutic lag. This suggests that methylation changes are required for treatment efficacy. Overrepresentation analysis found that IFNβ treatment recruits the endogenous anti-viral molecular machinery. Finally, statistical deconvolution revealed that dendritic cells and regulatory CD4+ T cells were most affected by IFNβ induced methylation changes., Discussion: In conclusion, our study shows that IFNβ treatment is a potent and targeted epigenetic modifier in multiple sclerosis., Competing Interests: JL-S received travel compensation from Biogen, Merck, and Novartis and has been involved in clinical trials with Biogen, Merck, Novartis, and Roche; her institution has received honoraria for talks and advisory board service from Biogen, Merck, Novartis, and Roche. VM has accepted honoraria for presentations and research funds from Biogen and Merck. The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2023 Xavier, Campagna, Maltby, Kilpatrick, Taylor, Butzkueven, Ponsonby, Scott, Jokubaitis, Lea and Lechner-Scott.)

Multiple sclerosis is often diagnosed in patients who are planning on having children. Although multiple sclerosis does not negatively influence most pregnancy outcomes, less is known regarding the effects of fetal exposure to novel disease-modifying therapies (DMTs). The withdrawal of some DMTs during pregnancy can modify the natural history of multiple sclerosis, resulting in a substantial risk of pregnancy-related relapse and disability. Drug labels are typically restrictive and favour fetal safety over maternal safety. Emerging data reporting outcomes in neonates exposed to DMTs in utero and through breastfeeding will allow for more careful and individualised treatment decisions. This emerging research is particularly important to guide decision making in women with high disease activity or who are treated with DMTs associated with risk of discontinuation rebound. As increasing data are generated in this field, periodic updates will be required to provide the most up to date guidance on how best to achieve multiple sclerosis stability during pregnancy and post partum, balanced with fetal and newborn safety., Competing Interests: Declaration of interests KMK has received grants from the MS Society of Canada; speaking or consulting fees from Biogen, EMD Serono, Novartis, and Roche; and is an advisory board member for Biogen, Novartis, and Roche, outside the submitted work. RD has received payments to her institution, including grants from Biogen, Merck, Celgene, National MS Society, MS Society UK, Horne Family Trust, and the BMA Foundation; honoraria from Biogen, Janssen, Merck, Novartis, Roche, Sanofi, and Teva; participated on an advisory board for Biogen, Janssen, Merck, Novartis, and Roche; and received support for attending meetings or travel from Biogen, Janssen, Merck, Novartis, Roche, and Sanofi, outside the submitted work. MPA received grants for a sponsored statistician from Merck; consulting fees from Almirall, Bayer Schering Pharma, Biogen-Idec, Sanofi Genzyme, Merck-Serono, Novartis, and Roche; honoraria from Almirall, Bayer Schering Pharma, Biogen-Idec, Merck-Serono, Novartis, Roche, and Sanofi-Genzyme; participated on the data safety and monitoring board or advisory board for Merck, Novartis, Roche, and Sanofi Genzyme; and reports a leadership role as president of The European Committee for Treatment and Research in Multiple Sclerosis (ECTRIMS), outside the submitted work. RB received investigator-initiated grants from Biogen, Novartis, and F Hoffman LaRoche, and sponsored grants from F Hoffman LaRoche; consulting fees from Alexion, Biogen, EMD Serono, Novartis, F Hoffman Laroche, Genzyme Sanofi, TG Therapeutics, and Janssen. AIC received speaker's honoraria from Bayer Healthcare; and support for attending meetings from Teva, outside the submitted work. MM received grants from the Danish MS Society; consulting fees from Merck, Sanofi, Roche, and Novartis; payment or honoraria from Merck, Sanofi, Roche, Novartis, Biogen, and Bristol Myers Squibb; and participated on the data safety and monitoring board or advisory board for Merck, Sanofi, Roche, Novartis, Biogen, and Bristol Myers Squibb, outside the submitted work. ST received speaker honoraria from Bayer Healthcare and Biogen GmbH, and manuscript writing assistance from Hexal AG, outside the submitted work. MT received grants for a sponsored statistician from Biogen; consulting fees from Almirall, Bayer Schering Pharma, Biogen-Idec, Genzyme, Janssen, Merck-Serono, Novartis, Roche, Sanofi-Aventis, Viela Bio, and Teva Pharmaceuticals; honoraria from Almirall, Bayer Schering Pharma, Biogen-Idec, Genzyme, Janssen, Merck-Serono, Novartis, Roche, Sanofi-Aventis, Viela Bio, and Teva Pharmaceuticals; and reports a leadership role as ECTRIMS vice president, outside the submitted work. SV has received payments to her institution including grants from Biogen, Janssen, Merck, Novartis, Roche, and Sanofi; consulting fees from Biogen, Bristol-Myers Squibb, Celgene, Janssen, Merck, Novartis, Roche, and Sanofi; honoraria from Biogen, Merck, Novartis, Roche, Sanofi, and Teva; participated on the data safety and monitoring board or advisory board for Biogen; support for attending meetings or travel from Biogen, Merck, Novartis, and Roche, outside the submitted work. KH received grants or contracts from Almirall, Biogen, Merck, Novartis, Sanofi Genzyme, Roche, and Teva; payment or honoraria from Almirall, Bayer, Biogen, Merck, Novartis, Sanofi Genzyme, Roche, Teva, Janssen, and Bristol-Myers Squibb; support for attending meetings or travel from Bayer, Biogen, Merck, Roche, Sanofi Genzyme, and Teva; participation on a data safety and monitoring board or advisory board from Biogen, Teva, Roche, Novartis, Jansen, and Merck, outside the submitted work. RA, YF, MH, VGJ, AA, VP declare no competing interests., (Copyright © 2023 Elsevier Ltd. All rights reserved.)

Background: Pregnancy in women with multiple sclerosis (wwMS) is associated with a reduction of long-term disability progression. The mechanism that drives this effect is unknown, but converging evidence suggests a role for epigenetic mechanisms altering immune and/or central nervous system function. In this study, we aimed to identify whole blood and immune cell-specific DNA methylation patterns associated with parity in relapse-onset MS., Results: We investigated the association between whole blood and immune cell-type-specific genome-wide methylation patterns and parity in 192 women with relapse-onset MS, matched for age and disease severity. The median time from last pregnancy to blood collection was 16.7 years (range = 1.5-44.4 years). We identified 2965 differentially methylated positions in whole blood, 68.5% of which were hypermethylated in parous women; together with two differentially methylated regions on Chromosomes 17 and 19 which mapped to TMC8 and ZNF577, respectively. Our findings validated 22 DMPs and 366 differentially methylated genes from existing literature on epigenetic changes associated with parity in wwMS. Differentially methylated genes in whole blood were enriched in neuronal structure and growth-related pathways. Immune cell-type-specific analysis using cell-type proportion estimates from statistical deconvolution of whole blood revealed further differential methylation in T cells specifically (four in CD4 + and eight in CD8 + T cells). We further identified reduced methylation age acceleration in parous women, demonstrating slower biological aging compared to nulligravida women., Conclusion: Differential methylation at genes related to neural plasticity offers a potential molecular mechanism driving the long-term effect of pregnancy on MS outcomes. Our results point to a potential 'CNS signature' of methylation in peripheral immune cells, as previously described in relation to MS progression, induced by parity. As the first epigenome-wide association study of parity in wwMS reported, validation studies are needed to confirm our findings., (© 2023. The Author(s).)

There is a growing need to better understand the risk of malignancy in the multiple sclerosis (MS) population, particularly given the relatively recent and widespread introduction of immunomodulating disease modifying therapies (DMTs). Multiple sclerosis disproportionately affects women, and the risk of gynecological malignancies, specifically cervical pre-cancer and cancer, are of particular concern. The causal relationship between persistent human papillomavirus (HPV) infection and cervical cancer has been definitively established. To date, there is limited data on the effect of MS DMTs on the risk of persistent HPV infection and subsequent progression to cervical pre-cancer and cancer. This review evaluates the risk of cervical pre-cancer and cancer in women with MS, including the risk conferred by DMTs. We examine additional factors, specific to the MS population, that alter the risk of developing cervical cancer including participation in HPV vaccination and cervical screening programs., Competing Interests: FB has received travel support from Biogen and a travel grant from the European Committee for Treatment and Research in Multiple Sclerosis. YF has received travel support from Biogen and receives grant support from MS Research Australia, National Health and Medical Research Council of Australia, Australia and New Zealand Association of Neurologists, and Avant Foundation. HB served on scientific advisory boards for Biogen, Novartis and Sanofi-Aventis and received conference travel support from Novartis, Biogen and Sanofi Aventis, and serves on steering committees for trials conducted by Biogen and Novartis received research support from Merck, Novartis, and Biogen. VJ receives research grant support from MS Research Australia and the National Health and Medical Research Council of Australia (NHMRC 1156519). AV has received travel support and served on advisory boards for Novartis, Biogen, Merck Serono, Roche and Teva, and receives grant support from the National Health and Medical Research Council of Australia. The remaining author declares that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2023 Bridge, Brotherton, Foong, Butzkueven, Jokubaitis and Van der Walt.)

Background: The variation in multiple sclerosis (MS) disease severity is incompletely explained by genetics, suggesting genetic and environmental interactions are involved. Moreover, the lack of prognostic biomarkers makes it difficult for clinicians to optimise care. DNA methylation is one epigenetic mechanism by which gene-environment interactions can be assessed. Here, we aimed to identify DNA methylation patterns associated with mild and severe relapse-onset MS (RMS) and to test the utility of methylation as a predictive biomarker., Methods: We conducted an epigenome-wide association study between 235 females with mild (n = 119) or severe (n = 116) with RMS. Methylation was measured with the Illumina methylationEPIC array and analysed using logistic regression. To generate hypotheses about the functional consequence of differential methylation, we conducted gene set enrichment analysis using ToppGene. We compared the accuracy of three machine learning models in classifying disease severity: (1) clinical data available at baseline (age at onset and first symptoms) built using elastic net (EN) regression, (2) methylation data using EN regression and (3) a weighted methylation risk score of differentially methylated positions (DMPs) from the main analysis using logistic regression. We used a conservative 70:30 test:train split for classification modelling. A false discovery rate threshold of 0.05 was used to assess statistical significance., Results: Females with mild or severe RMS had 1472 DMPs in whole blood (839 hypermethylated, 633 hypomethylated in the severe group). Differential methylation was enriched in genes related to neuronal cellular compartments and processes, and B-cell receptor signalling. Whole-blood methylation levels at 1708 correlated CpG sites classified disease severity more accurately (machine learning model 2, AUC = 0.91) than clinical data (model 1, AUC = 0.74) or the wMRS (model 3, AUC = 0.77). Of the 1708 selected CpGs, 100 overlapped with DMPs from the main analysis at the gene level. These overlapping genes were enriched in neuron projection and dendrite extension, lending support to our finding that neuronal processes, rather than immune processes, are implicated in disease severity., Conclusion: RMS disease severity is associated with whole-blood methylation at genes related to neuronal structure and function. Moreover, correlated whole-blood methylation patterns can assign disease severity in females with RMS more accurately than clinical data available at diagnosis., (© 2022. Crown.)

Background: Increasingly, people with relapsing-remitting multiple sclerosis (RRMS) are switched to highly effective disease-modifying therapies (DMTs) such as ocrelizumab., Objective: To determine predictors of relapse and disability progression when switching from another DMT to ocrelizumab., Methods: Patients with RRMS who switched to ocrelizumab were identified from the MSBase Registry and grouped by prior disease-modifying therapy (pDMT; interferon-β/glatiramer acetate, dimethyl fumarate, teriflunomide, fingolimod or natalizumab) and washout duration (<1 month, 1-2 months or 2-6 months). Survival analyses including multivariable Cox proportional hazard regression models were used to identify predictors of on-ocrelizumab relapse within 1 year, and 6-month confirmed disability progression (CDP)., Results: After adjustment, relapse hazard when switching from fingolimod was greater than other pDMTs, but only in the first 3 months of ocrelizumab therapy (hazard ratio (HR) = 3.98, 95% confidence interval (CI) = 1.57-11.11, p  = 0.004). The adjusted hazard for CDP was significantly higher with longer washout (2-6 m compared to <1 m: HR = 9.57, 95% CI = 1.92-47.64, p  = 0.006)., Conclusion: The risk of disability worsening during switch to ocrelizumab is reduced by short treatment gaps. Patients who cease fingolimod are at heightened relapse risk in the first 3 months on ocrelizumab. Prospective evaluation of strategies such as washout reduction may help optimise this switch.

Background: Patients with highly active relapsing-remitting multiple sclerosis inadequately responding to first-line therapies (interferon-based therapies, glatiramer acetate, dimethyl fumarate, and teriflunomide, known collectively as "BRACETD") often switch to natalizumab or fingolimod., Objective: The aim was to estimate the comparative effectiveness of switching to natalizumab or fingolimod or within BRACETD using real-world data and to evaluate the cost-effectiveness of switching to natalizumab versus fingolimod using a United Kingdom (UK) third-party payer perspective., Methods: Real-world data were obtained from MSBase for patients relapsing on BRACETD in the year before switching to natalizumab or fingolimod or within BRACETD. Three-way-multinomial-propensity-score-matched cohorts were identified, and comparisons between treatment groups were conducted for annualised relapse rate (ARR) and 6-month-confirmed disability worsening (CDW6M) and improvement (CDI6M). Results were applied in a cost-effectiveness model over a lifetime horizon using a published Markov structure with health states based on the Expanded Disability Status Scale. Other model parameters were obtained from the UK MS Survey 2015, published literature, and publicly available UK sources., Results: The MSBase analysis found a significant reduction in ARR (rate ratio [RR] = 0.64; 95% confidence interval [CI] 0.57-0.72; p < 0.001) and an increase in CDI6M (hazard ratio [HR] = 1.67; 95% CI 1.30-2.15; p < 0.001) for switching to natalizumab compared with BRACETD. For switching to fingolimod, the reduction in ARR (RR = 0.91; 95% CI 0.81-1.03; p = 0.133) and increase in CDI6M (HR = 1.30; 95% CI 0.99-1.72; p = 0.058) compared with BRACETD were not significant. Switching to natalizumab was associated with a significant reduction in ARR (RR = 0.70; 95% CI 0.62-0.79; p < 0.001) and an increase in CDI6M (HR = 1.28; 95% CI 1.01-1.62; p = 0.040) compared to switching to fingolimod. No evidence of difference in CDW6M was found between treatment groups. Natalizumab dominated (higher quality-adjusted life-years [QALYs] and lower costs) fingolimod in the base-case cost-effectiveness analysis (0.453 higher QALYs and £20,843 lower costs per patient). Results were consistent across sensitivity analyses., Conclusions: This novel real-world analysis suggests a clinical benefit for therapy escalation to natalizumab versus fingolimod based on comparative effectiveness results, translating to higher QALYs and lower costs for UK patients inadequately responding to BRACETD., (© 2021. The Author(s).)

The aetiology and pathophysiology of complex diseases are driven by the interaction between genetic and environmental factors. The variability in risk and outcomes in these diseases are incompletely explained by genetics or environmental risk factors individually. Therefore, researchers are now exploring the epigenome, a biological interface at which genetics and the environment can interact. There is a growing body of evidence supporting the role of epigenetic mechanisms in complex disease pathophysiology. Epigenome-wide association studies (EWASes) investigate the association between a phenotype and epigenetic variants, most commonly DNA methylation. The decreasing cost of measuring epigenome-wide methylation and the increasing accessibility of bioinformatic pipelines have contributed to the rise in EWASes published in recent years. Here, we review the current literature on these EWASes and provide further recommendations and strategies for successfully conducting them. We have constrained our review to studies using methylation data as this is the most studied epigenetic mechanism; microarray-based data as whole-genome bisulphite sequencing remains prohibitively expensive for most laboratories; and blood-based studies due to the non-invasiveness of peripheral blood collection and availability of archived DNA, as well as the accessibility of publicly available blood-cell-based methylation data. Further, we address multiple novel areas of EWAS analysis that have not been covered in previous reviews: (1) longitudinal study designs, (2) the chip analysis methylation pipeline (ChAMP), (3) differentially methylated region (DMR) identification paradigms, (4) methylation quantitative trait loci (methQTL) analysis, (5) methylation age analysis and (6) identifying cell-specific differential methylation from mixed cell data using statistical deconvolution., (© 2021. The Author(s).)

Objective: To investigate pregnancy-related disease activity in a contemporary multiple sclerosis (MS) cohort., Methods: Using data from the MSBase Registry, we included pregnancies conceived after 31 Dec 2010 from women with relapsing-remitting MS or clinically isolated syndrome. Predictors of intrapartum relapse, and postpartum relapse and disability progression were determined by clustered logistic regression or Cox regression analyses., Results: We included 1998 pregnancies from 1619 women with MS. Preconception annualized relapse rate (ARR) was 0.29 (95% CI 0.27-0.32), fell to 0.19 (0.14-0.24) in third trimester, and increased to 0.59 (0.51-0.67) in early postpartum. Among women who used fingolimod or natalizumab, ARR before pregnancy was 0.37 (0.28-0.49) and 0.29 (0.22-0.37), respectively, and increased during pregnancy. Intrapartum ARR decreased with preconception dimethyl fumarate use. ARR spiked after delivery across all DMT groups. Natalizumab continuation into pregnancy reduced the odds of relapse during pregnancy (OR 0.76 per month [0.60-0.95], p=0.017). DMT re-initiation with natalizumab protected against postpartum relapse (HR 0.11 [0.04-0.32], p<0.0001). Breastfeeding women were less likely to relapse (HR 0.61 [0.41-0.91], p=0.016). 5.6% of pregnancies were followed by confirmed disability progression, predicted by higher relapse activity in pregnancy and postpartum., Conclusion: Intrapartum and postpartum relapse probabilities increased among women with MS after natalizumab or fingolimod cessation. In women considered to be at high relapse risk, use of natalizumab before pregnancy and continued up to 34 weeks gestation, with early re-initiation after delivery is an effective option to minimize relapse risks. Strategies of DMT use have to be balanced against potential fetal/neonatal complications., (© 2021 American Academy of Neurology.)

Aims: To retrospectively assess factors associated with John Cunningham virus (JCV) seroconversion in natalizumab-treated patients., Background: Natalizumab is highly effective for the treatment of relapsing-remitting multiple sclerosis (RRMS), but its use is complicated by opportunistic JCV infection. This virus can result in progressive multifocal leukoencephalopathy (PML). Serial assessment of JCV serostatus is mandated during natalizumab treatment., Methods: Patients treated with natalizumab for RRMS at six tertiary hospitals in Melbourne, Australia ( n  = 865) and 11 MS treatment centres in Brazil ( n  = 136) were assessed for change in JCV serostatus, duration of exposure to natalizumab and prior immunosuppression. Sensitivity analyses examined whether sex, age, tertiary centre, prior immunosuppression or number of JCV tests affected time to seroconversion., Results: From a cohort of 1001 natalizumab-treated patients, durable positive seroconversion was observed in 83 of 345 initially JCV negative patients (24.1%; 7.3% per year). Conversely, 16 of 165 initially JCV positive patients experienced durable negative seroconversion (9.7%; 3.8% per year). Forty patients (3.9%) had fluctuating serostatus. Time-to-event analysis did not identify a relationship between JCV seroconversion and duration of natalizumab exposure. Prior exposure to immunosuppression was not associated with an increased hazard of positive JCV seroconversion. Male sex was associated with increased JCV seroconversion risk [adjusted hazard ratio 2.09 (95% confidence interval 1.17-3.71) p  = 0.012]., Conclusion: In this large international cohort of natalizumab-treated patients we observed an annual durable positive seroconversion rate of 7.3%. This rate exceeds that noted in registration and post-marketing studies for natalizumab. This rate also greatly exceeds that predicted by epidemiological studies of JCV seroconversion in healthy populations. Taken together, our findings support emerging evidence that natalizumab causes off-target immune changes that may be trophic for JCV seroconversion. In addition, male sex may be associated with increased positive JCV seroconversion., Competing Interests: Conflict of interest statement: The authors declare that there is no conflict of interest., (© The Author(s), 2021.)

Background: Family planning and pregnancy decisions are key considerations in the management of women with multiple sclerosis (MS), who are typically diagnosed between the ages of 20-40 years. Despite a strong evidence base that pregnancy is not harmful for women with MS, many knowledge gaps remain. These include: best management strategies through pregnancy in the era of highly effective disease-modifying therapies (DMT); foetal risks associated with DMT exposure in utero or in relation to breastfeeding; knowledge base around the use of assisted reproductive technologies; the long-term impact of pregnancy on disease outcomes, as well as the impact of long-term DMT use on women's health and cancer risk., Methods: Here, we describe the new MSBase pregnancy, neonatal outcomes and women's health registry. We provide the rationale for, and detailed description of, the variables collected within the registry, together with data acquisition details., Conclusion: The present paper will act as a reference document for future studies., Competing Interests: Conflict of interest statement: VGJ has received speaker’s honoraria or travel support from Biogen, Roche and Merck. She receives grant support from the National Health and Medical Research Council of Australia and MS Research Australia. OS received travel grants and speaker honoraria from Biogen, Roche, Merck, Novartis and Sanofi-Genzyme RA received honoraria as a speaker and for serving on scientific advisory boards from Bayer, Biogen, Merck, Novartis, Roche and Sanofi. AA has received speaker honoraria for non-promotional education events and travel grants from Merck, TEVA and Novartis. HB’s institution receives compensation for Advisory Board, Steering Committee and Educational activities from Biogen, Roche, Merck, and Novartis. His institution receives research support from Roche, Novartis, Biogen, NHMRC and MRFF Australia, MS Research Australia. He receives personal compensation from Oxford HPF for serving on the steering group of MS Brain Health. SE received speaker honoraria and consultant fees from Biogen Idec, Novartis, Merck, Bayer, Sanofi Genzyme, Roche and Teva. YF declares no conflicts of interest. KH receives grant support from the Innovation Fund of the Federal Joint Committee. She has also received consultant and speaker honoraria and grant support from Bayer, Biogen, Merck, Novartis, Sanofi Genzyme, Roche and Teva. SEH has received travel grants and speaker honoraria from Biogen, Roche, Merck, Novartis and Sanofi-Genzyme. LR has received conference travel support from Biogen, Merck and Roche; nurse advisory consultant support from Roche and Merck. AVDW served on advisory boards and receives unrestricted research grants from Novartis, Biogen, Merck and Roche She has received speaker’s honoraria and travel support from Novartis, Roche and Merck. She receives grant support from the National Health and Medical Research Council of Australia and MS Research Australia. OG has received compensation for Advisory Board attendance, Speaker Honoraria and Unrestricted Travel Grants from Biogen, Genzyme, Merck, Roche and Novartis, (© The Author(s), 2021.)

Importance: Multiple sclerosis (MS) is usually diagnosed in women during their childbearing years. Currently, no consensus exists on whether pregnancy can delay the first episode of demyelination or clinically isolated syndrome (CIS)., Objective: To investigate the association of pregnancy with time to CIS onset., Design, Setting, and Participants: This multicenter cohort study collected reproductive history (duration of each pregnancy, date of delivery, length of breastfeeding) on all participants between September 1, 2016, and June 25, 2019. Adult women being treated at the MS outpatient clinics of 4 tertiary hospitals in 2 countries (Charles University and General University Hospital in Prague, Czech Republic; Royal Melbourne Hospital in Melbourne, Australia; Alfred Hospital in Melbourne, Australia; and John Hunter Hospital in Newcastle, Australia) were recruited to participate in the study. Preexisting data (date of CIS onset, date of birth, sex, date of clinical onset, and Expanded Disability Status Scale result) were collected from MSBase, an international registry of long-term prospectively collected data on patients with MS. Data analyses were performed from June 1, 2019, to February 3, 2020., Exposures: Gravida (defined as any pregnancy, including pregnancy that ended in miscarriage and induced abortion) and parity (defined as childbirth after gestational age of more than 20 weeks, including livebirth and stillbirth) before CIS onset., Main Outcomes and Measures: Time to CIS onset. The following were assessed: (1) whether women with previous pregnancies and childbirths had a delayed onset of CIS compared with those who had never been pregnant and those who had never given birth, and (2) whether a dose response existed, whereby a higher number of gravidity and parity was associated with a later onset of CIS., Results: Of the 2557 women included in the study, the mean (SD) age at CIS onset was 31.5 (9.7) years. Of these women, before CIS onset, 1188 (46%) had at least 1 pregnancy and 1100 (43%) had at least 1 childbirth. The mean (SD) age at first pregnancy was 23.3 (4.5) years and at first childbirth was 23.8 (4.5) years. Women with previous pregnancies and childbirths had a later onset of CIS compared with those who had never been pregnant (HR, 0.68; 95% CI, 0.62-0.75; P < .001), with a median delay of 3.3 (95% CI, 2.5-4.1) years. Women who had given birth also had a later CIS onset compared with women who had never given birth (HR 0.68; 95% CI, 0.61-0.75; P < .001), with a similar median delay of 3.4 (95% CI, 1.6-5.2) years. A higher gravidity and parity number was not associated with delay in CIS onset., Conclusions and Relevance: This study suggests an association between previous pregnancies and childbirths and timing of CIS onset, but having more pregnancies or childbirths did not appear to be associated with a later CIS onset. Further studies are needed to help explain the mechanisms behind the associations between pregnancy and onset of multiple sclerosis.

Background: Women with MS are advised that relapse rates fall during pregnancy and rebound post-partum. This advice originates from 1998; smaller, more recent, studies have not been previously pooled., Methods: All studies published since 1998 providing raw relapse data were considered for inclusion. Single arm meta-analysis was performed using a restricted maximum likelihood random effects model with inverse variance; secondary subgroup analysis and meta regression were then performed. Annualised relapse rates (ARR), or relapse numbers/rates suitable for conversion into ARR during pregnancy and the post-partum period were included. Secondary subgroup analysis examined year of data collection, DMT exposure, breastfeeding and data source., Results: 7034 pregnancies from 6430 women were included. ARR fell from 0.57 (95%CI 0.45-0.70) pre-pregnancy to 0.36 (0.28-0.44), 0.29 (0.21-0.36) and 0.16 (0.11-0.21) during trimesters 1,2, and 3, with a post-partum rebound (ARR 0.85, 95%CI 0.70-1.00). ARR reduced pre-pregnancy and post-partum over time (p<0.001). Relapse rates were lower in claims databases than elsewhere., Conclusions: Despite high heterogeneity, we confirm the historic assumption that ARR reduces during pregnancy, and demonstrate an overall reduction in ARR over time. Studies using data originating from claims databases demonstrated a lower relapse rate at all time points, which has not previously been demonstrated., (Copyright © 2020 Elsevier B.V. All rights reserved.)

Background: Autoimmune conditions (AICs) and/or their treatment may alter risk of human papilloma virus (HPV) infection and females with AICs are therefore at an increased risk of cervical dysplasia. However, inclusion of these at-risk populations in cervical cancer screening and HPV-vaccination guidelines, are mostly lacking. This study aimed to determine the prevalence of cervical dysplasia in a wide range of AICs and compare that to HIV and immunocompetent controls to support the optimisation of cervical cancer preventive health measures., Methods: Data linkage was used to match cervical screening episodes to emergency department records of females with AICs or HIV to immunocompetent controls over a 14-year period. The primary outcome was histologically confirmed high-grade cervical disease. Results, measured as rates by cytology and histology classification per 1,000 females screened, were analysed per disease group, and intergroup comparisons were performed., Results: Females with inflammatory bowel disease (2,683), psoriatic and enteropathic arthropathies (1,848), multiple sclerosis (MS) (1,426), rheumatoid arthritis (1,246), systemic lupus erythematosus and/or mixed connective tissue disease (SLE/MCTD) (702), HIV (44), and 985,383 immunocompetent controls were included. SLE/MCTD and HIV groups had greater rates of high-grade histological and cytological abnormalities compared to controls. Increased rates of low-grade cytological abnormalities were detected in all females with AICs, with the exception of the MS group., Conclusions: Females with SLE/MCTD or HIV have increased rates of high-grade cervical abnormalities. The increased low-grade dysplasia rate seen in most females with AICs is consistent with increased HPV infection. These findings support expansion of cervical cancer preventative programs to include these at-risk females., Competing Interests: Dr Foster, Dr Malloy, A/Prof Van Doornum, Dr Unglik and A/Prof Brotherton have no conflict of interest to declare. Dr Jokubaitis has received speaker’s honoraria from Biogen, and conference travel support from Merck. She receives research funding from MS Research Australia, and the Australian National Health and Medical Research Council (NHMRC). Mr. Wrede has received Honoraria and Sponsorship from Biogen and Seqirus. He is Deputy Chairman of the Board of VCS Foundation Pty Ltd. He is a member of the Clinical Expert Panel reviewing the Australian Cervical Screening Program. Prof Butzkueven serves as the Director of the MSBase foundation. He serves on steering committees and advisory boards for Biogen, Roche, Merck, Sanofi, Novartis. He has received speaker’s honoraria, travel support and receives research grant support from Roche, Biogen, Merck, Sanofi, Novartis and Teva. Prof Sasadeusz has been on advisory boards for Merck. Prof Macrae is on advisory committee for Pfizer and receives funding for the conduct of multiple clinical trials in inflammatory bowel disease. He receives funding from Cancer Australia, Cancer Council NSW, and NHMRC for investigator-initiated studies. A/Prof van der Walt has received speaker’s honoraria, travel support and served on advisory boards for Biogen, Merck, Sanofi, Novartis and Teva. She receives funding from the NHMRC Australia. This does not alter our adherence to PLOS ONE policies on sharing data and materials.

At least 200 single-nucleotide polymorphisms (SNPs) are associated with multiple sclerosis (MS) risk. A key function that could mediate SNP-encoded MS risk is their regulatory effects on gene expression. We performed microarrays using RNA extracted from purified immune cell types from 73 untreated MS cases and 97 healthy controls and then performed Cis expression quantitative trait loci mapping studies using additive linear models. We describe MS risk expression quantitative trait loci associations for 129 distinct genes. By extending these models to include an interaction term between genotype and phenotype, we identify MS risk SNPs with opposing effects on gene expression in cases compared with controls, namely, rs2256814 MYT1 in CD4 cells (q = 0.05) and rs12087340 RF00136 in monocyte cells (q = 0.04). The rs703842 SNP was also associated with a differential effect size on the expression of the METTL21B gene in CD8 cells of MS cases relative to controls (q = 0.03). Our study provides a detailed map of MS risk loci that function by regulating gene expression in cell types relevant to MS., (© 2020 Gresle et al.)

Background: Tremor is present in almost half of multiple sclerosis (MS) patients. The lack of understanding of its pathophysiology is hampering progress in development of treatments., Objectives: To clarify the structural and functional brain changes associated with the clinical phenotype of upper limb tremor in people with MS., Methods: Fifteen healthy controls (46.1 ± 15.4 years), 27 MS participants without tremor (46.7 ± 11.6 years) and 42 with tremor (46.6 ± 11.5 years) were included. Tremor was quantified using the Bain score (0-10) for overall severity, handwriting and Archimedes spiral drawing. Functional magnetic resonance imaging activations were compared between participants groups during performance of a joystick task designed to isolate tremulous movement. Inflammation and atrophy of cerebello-thalamo-cortical brain structures were quantified., Results: Tremor participants were found to have atrophy of the cerebellum and thalamus, and higher ipsilateral cerebellar lesion load compared to participants without tremor ( p  < 0.020). We found higher ipsilateral activation in the inferior parietal lobule, the premotor cortex and supplementary motor area in MS tremor participants compared to MS participants without tremor during the joystick task. Finally, stronger activation in those areas was associated with lower tremor severity., Conclusion: Subcortical neurodegeneration and inflammation along the cerebello-thalamo-cortical and cortical functional neuroplasticity contribute to the severity of tremor in MS.