Female gender and hormones have been associated with disease activity in multiple sclerosis (MS). We investigated age at menarche, use of oral contraceptives and pregnancy in relation to progression of disability in relapsing onset and progressive onset MS. We conducted a cross-sectional survey among individuals with MS, registered by the Flemish MS Society in Belgium. A time-to-event analysis and Cox proportional hazard regression were performed with time to Expanded Disability Status Score (EDSS) of 6 (requires a cane) as outcome measure. Hazard ratios for the time from onset and the time from birth were adjusted for age at onset and immunomodulatory treatment. Data on 973 women with definite MS were collected. In the relapsing onset group, women with at least two pregnancies had a reduced risk to reach EDSS 6 compared with nulliparous women. In the progressive onset group, later age at menarche was associated with a reduced risk to reach EDSS 6, whereas oral contraceptive use was associated with a higher risk of reaching EDSS 6. Our study corroborates the association of pregnancies with a reduced progression of disability in relapsing onset MS. In progressive onset MS, a slower progression was found in women with a later onset of menarche and a more rapid progression occurred when women reported the use of oral contraceptives.

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Multiple sclerosis (MS), a chronic inflammatory demyelina-ting and degenerative disease of the central nervous system, is a frequent cause of neurological disability in young adults. Female predominance has increased over the last decades. Although female gender carries a higher risk of developing relapsing remitting MS, being female and at child-bearing age also appears to provide some protection against cognitive decline and against progressive onset MS, an adverse predictive factor when considering long-term disability in MS. The risk of MS in women has been associated with an earlier age at menarche. In most studies, parity did not impact MS risk. However, the recently published association of higher parity and offspring number with a reduced risk of a first demyelinating event suggests a potential suppressive effect. Pregnancy in MS patients has been associated with a reduced relapse rate and a reduction of neurological symptoms, especially in the third trimester. Despite the increased relapse risk in the postpartum period, there is no indication of an adverse effect of childbirth on the long-term course of MS. Fertility treatment in MS has been associated with an increased relapse risk in the following 3-month period, especially when the procedure did not result in pregnancy and gonadotrophin-releasing hormone agonists were used. Altogether, there is substantial evidence to support a regulatory role of sex steroid hormones in MS. In the absence of correlations with single hormone blood levels, we can only speculate about the underlying mechanisms. In conclusion, the increased MS risk in women and the changes in relapse and progression risk in association with reproductive events suggest significant and complex interactions between immune, neuroendocrine and reproductive systems in MS.

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[Background] Data from neuro-imaging techniques allow us to estimate a brain's age. Brain age is easily interpretable as "how old the brain looks", and could therefore be an attractive communication tool for brain health in clinical practice. This study aimed to investigate its clinical utility. [Objectives] To investigate the relationship between brain age and information processing speed in MS. [Methods] A ridge-regression model was trained to predict age from brain MRI volumetric features and sex in a healthy control dataset (HC_train, n=1690). This model was used to predict brain age in two test sets: HC_test (n=50) and MS_test (n=201). Brain-Predicted Age Difference (BPAD) was calculated as BPAD=brain age minus chronological age. Information processing speed was assessed with the Symbol Digit Modalities Test (SDMT). [Results] Brain age was significantly related to SDMT scores in the MS_test dataset (r=-0.44, p<.001), and contributed uniquely to variance in SDMT beyond chronological age, reflected by a significant correlation between BPAD and SDMT (r=-0.21, p=0.003) and a significant weight (-0.21, p=0.011) in a multivariate regression equation with age. [Conclusions] Brain age is a candidate biomarker for information processing speed in MS and an easy to grasp metric for brain health.