Early Predictors of Clinical and MRI Outcomes Using Least Absolute Shrinkage and Selection Operator (LASSO) in Multiple Sclerosis.

OBJECTIVE: The objective of this study was to identify predictors in common between different clinical and magnetic resonance imaging (MRI) outcomes in multiple sclerosis (MS) by comparing predictive models. METHODS: We analyzed 704 patients from our center seen at MS onset, measuring 37 baseline demographic, clinical, treatment, and MRI predictors, and 10-year outcomes. Our primary aim was identifying predictors in common among clinical outcomes: aggressive MS, benign MS, and secondary-progressive (SP)MS. We also investigated MRI outcomes: T2 lesion volume (T2LV) and brain parenchymal fraction (BPF). The performance of the full 37-predictor model was compared with a least absolute shrinkage and selection operator (LASSO)-selected model of predictors in common between each outcome by the area under the receiver operating characteristic curves (AUCs). RESULTS: The full 37-predictor model was highly predictive of clinical outcomes: in-sample AUC was 0.91 for aggressive MS, 0.81 for benign MS, and 0.81 for SPMS. After variable selection, 10 LASSO-selected predictors were in common between each clinical outcome: age, Expanded Disability Status Scale, pyramidal, cerebellar, sensory and bowel/bladder signs, timed 25-foot walk ≥6 seconds, poor attack recovery, no sensory attacks, and time-to-treatment. This reduced model had comparable cross-validation AUC as the full 37-predictor model: 0.84 versus 0.81 for aggressive MS, 0.75 versus 0.73 for benign MS, and 0.76 versus 0.75 for SPMS, respectively. In contrast, 10-year MRI outcomes were more strongly influenced by initial T2LV and BPF than clinical outcomes. INTERPRETATION: Early prognostication of MS is possible using LASSO modeling to identify a limited set of accessible clinical features. These predictive models can be clinically usable in treatment decision making once implemented into web-based calculators. ANN NEUROL 2022;92:87-96.

MeTooMS: Sexual, physical, and emotional abuse experience among women with multiple sclerosis.

BACKGROUND: Sexual and physical violence against disabled individuals is widespread and linked to negative public health and social outcomes. The real-world prevalence of abuse in women with multiple sclerosis (MS) has not been well studied. OBJECTIVES: To explore abuse prevalence in a real-world cohort of females with MS attending an academic MS Center. METHODS: Prospective and retrospective abuse data were confidentially collected during neurology clinic visits and extracted from medical records for women attending an academic MS Center. Self-reported and provider-documented prevalence of abuse experiences were correlated with socio-economic and disease-specific factors. RESULTS: In total, 200 women completed prospective questionnaires, and 121 non-overlapping independent health records were retrospectively reviewed. Mean age (SD) was 49.055 (11.39). Seventy-six (38%) reported lifetime abuse incidents; 15% were abused within the previous year. Intimate partners were the most likely verbal (p ⩽ 0.01)) and physical (p = 0.04) abuse perpetrators. Neurologic disability correlated with greater likelihood of verbal abuse (p = 0.021) in prospective cohort. There was no billing or encounter documentation for any form of abuse. CONCLUSION: Intimate partner violence is common in women with MS, correlates with neurologic disability, and is underreported by the health system. Future research needs to focus on abuse detection and mitigation strategies.

Accuracy of serum neurofilament light to identify contrast-enhancing lesions in multiple sclerosis.

BACKGROUND: Contrast-enhancing magnetic resonance imaging (MRI) lesions (CELs) indicate acute multiple sclerosis inflammation. Serum biomarkers, neurofilament light (sNfL), and glial fibrillary acidic protein (sGFAP) may increase in the presence of CELs, and indicate a need to perform MRI. OBJECTIVE: We assessed the accuracy of biomarkers to detect CELs. METHODS: Patients with two gadolinium-enhanced MRIs and serum biomarkers tested within 3 months were included (N = 557, 66% female). Optimal cut-points from Bland-Altman analysis for spot biomarker level and Youden's index for delta-change from remission were evaluated. RESULTS: A total of 116 patients (21%) had CELs. A spot sNfL measurement >23.0 pg/mL corresponded to 7.0 times higher odds of CEL presence (95% CI: 3.8, 12.8), with 25.9% sensitivity, 95.2% specificity, operating characteristic curve (AUC) 0.61; while sNfL delta-change >30.8% from remission corresponded to 5.0 times higher odds (95% CI: 3.2, 7.8), 52.6% sensitivity, 81.9% specificity, AUC 0.67. sGFAP had poor CEL detection. In patients > 50 years, neither cut-point remained significant. sNfL delta-change outperformed spot levels at identifying asymptomatic CELs (AUC 0.67 vs 0.59) and in patients without treatment escalation between samples (AUC 0.67 vs 0.57). CONCLUSION: Spot sNfL >23.0 pg/mL or a 30.8% increase from remission provides modest prediction of CELs in patients <50 years; however, low sNfL does not obviate the need for MRI.

Serum NfL but not GFAP predicts cognitive decline in active progressive multiple sclerosis patients.

BACKGROUND: Cognitive decline is inadequately captured by the standard neurological examination. Serum neurofilament light chain (sNfL) and glial fibrillary acidic protein (sGFAP) are biomarkers of neuronal damage and astrocytic reactivity that may offer an accessible measure of the multiple sclerosis (MS) pathology linked to cognitive decline. OBJECTIVE: To investigate the association of sNfL and sGFAP with cognitive decline in MS patients at high risk for progressive pathology. METHODS: We included 94 MS patients with sustained Expanded Disability Status Score (EDSS) ⩾ 3, available serum samples and cognitive assessment performed by symbol digit modalities test (SDMT) over a median of 3.1 years. The visit for sGFAP/sNfL quantification was at confirmed EDSS ⩾ 3. Linear regression analysis on log-transformed sGFAP/sNfL assessed the association with current and future SDMT. Analyses were adjusted for age, sex, EDSS, treatment group, and recent relapse. RESULTS: sNfL was significantly associated with concurrent SDMT (adjusted change in mean SDMT = -4.5; 95% confidence interval (CI): -8.7, -0.2; p = 0.039) and predicted decline in SDMT (adjusted change in slope: -1.14; 95% CI: -1.83, -0.44; p = 0.001), particularly in active patients. sGFAP was not associated with concurrent or future SDMT. CONCLUSIONS: Higher levels of sNfL were associated with cognitive impairment and predicted cognitive decline in MS patients at high risk for having an underlying progressive pathology.

Gut Microbiome in Progressive Multiple Sclerosis.

OBJECTIVE: This study was undertaken to investigate the gut microbiome in progressive multiple sclerosis (MS) and how it relates to clinical disease. METHODS: We sequenced the microbiota from healthy controls and relapsing-remitting MS (RRMS) and progressive MS patients and correlated the levels of bacteria with clinical features of disease, including Expanded Disability Status Scale (EDSS), quality of life, and brain magnetic resonance imaging lesions/atrophy. We colonized mice with MS-derived Akkermansia and induced experimental autoimmune encephalomyelitis (EAE). RESULTS: Microbiota ß-diversity differed between MS patients and controls but did not differ between RRMS and progressive MS or differ based on disease-modifying therapies. Disease status had the greatest effect on the microbiome ß-diversity, followed by body mass index, race, and sex. In both progressive MS and RRMS, we found increased Clostridium bolteae, Ruthenibacterium lactatiformans, and Akkermansia and decreased Blautia wexlerae, Dorea formicigenerans, and Erysipelotrichaceae CCMM. Unique to progressive MS, we found elevated Enterobacteriaceae and Clostridium g24 FCEY and decreased Blautia and Agathobaculum. Several Clostridium species were associated with higher EDSS and fatigue scores. Contrary to the view that elevated Akkermansia in MS has a detrimental role, we found that Akkermansia was linked to lower disability, suggesting a beneficial role. Consistent with this, we found that Akkermansia isolated from MS patients ameliorated EAE, which was linked to a reduction in RORγt+ and IL-17-producing γδ T cells. INTERPRETATION: Whereas some microbiota alterations are shared in relapsing and progressive MS, we identified unique bacteria associated with progressive MS and clinical measures of disease. Furthermore, elevated Akkermansia in MS may be a compensatory beneficial response in the MS microbiome. ANN NEUROL 2021;89:1195-1211.

Younger age at multiple sclerosis onset is associated with worse outcomes at age 50.

OBJECTIVE: Older age at multiple sclerosis (MS) onset has been associated with worse 10-year outcomes. However, disease duration often exceeds 10 years and age-related comorbidities may also contribute to disability. We investigated patients with>10 years disease duration to determine how age at MS onset is associated with clinical, MRI and occupational outcomes at age 50. METHODS: We included patients enrolled in the Comprehensive Longitudinal Investigation of Multiple Sclerosis at the Brigham and Women's Hospital with disease duration>10 years. Outcomes at age 50 included the Expanded Disability Status Scale (EDSS), development of secondary-progressive multiple sclerosis (SPMS), brain T2-lesion volume (T2LV) and brain parenchymal fraction (BPF), and occupational status. We assessed how onset age was independently associated with each outcome when adjusting for the date of visit closest to age 50, sex, time to first treatment, number of treatments by age 50 and exposure to high-efficacy treatments by age 50. RESULTS: We included 661 patients with median onset at 31.4 years. The outcomes at age 50 were worse the younger first symptoms developed: for every 5 years earlier, the EDSS was 0.22 points worse (95% CI: 0.04 to 0.40; p=0.015), odds of SPMS 1.33 times higher (95% CI: 1.08 to 1.64; p=0.008), T2LV 1.86 mL higher (95% CI: 1.02 to 2.70; p<0.001), BPF 0.97% worse (95% CI: 0.52 to 1.42; p<0.001) and odds of unemployment from MS 1.24 times higher (95% CI: 1.01 to 1.53; p=0.037). CONCLUSIONS: All outcomes at age 50 were worse in patients with younger age at onset. Decisions to provide high-efficacy treatments should consider younger age at onset, equating to a longer expected disease duration, as a poor prognostic factor.

Clinical Trial-Ready Patient Cohorts for Multiple System Atrophy: Coupling Biospecimen and iPSC Banking to Longitudinal Deep-Phenotyping.

Multiple system atrophy (MSA) is a fatal neurodegenerative disease of unknown etiology characterized by widespread aggregation of the protein alpha-synuclein in neurons and glia. Its orphan status, biological relationship to Parkinson's disease (PD), and rapid progression have sparked interest in drug development. One significant obstacle to therapeutics is disease heterogeneity. Here, we share our process of developing a clinical trial-ready cohort of MSA patients (69 patients in 2 years) within an outpatient clinical setting, and recruiting 20 of these patients into a longitudinal "n-of-few" clinical trial paradigm. First, we deeply phenotype our patients with clinical scales (UMSARS, BARS, MoCA, NMSS, and UPSIT) and tests designed to establish early differential diagnosis (including volumetric MRI, FDG-PET, MIBG scan, polysomnography, genetic testing, autonomic function tests, skin biopsy) or disease activity (PBR06-TSPO). Second, we longitudinally collect biospecimens (blood, CSF, stool) and clinical, biometric, and imaging data to generate antecedent disease-progression scores. Third, in our Mass General Brigham SCiN study (stem cells in neurodegeneration), we generate induced pluripotent stem cell (iPSC) models from our patients, matched to biospecimens, including postmortem brain. We present 38 iPSC lines derived from MSA patients and relevant disease controls (spinocerebellar ataxia and PD, including alpha-synuclein triplication cases), 22 matched to whole-genome sequenced postmortem brain. iPSC models may facilitate matching patients to appropriate therapies, particularly in heterogeneous diseases for which patient-specific biology may elude animal models. We anticipate that deeply phenotyped and genotyped patient cohorts matched to cellular models will increase the likelihood of success in clinical trials for MSA.

Patient-reported outcomes associated with transition to secondary progressive multiple sclerosis.

PURPOSE: To investigate patient-reported outcome (PRO) measures in patients with relapsing-remitting multiple sclerosis (RRMS) who transition to secondary progressive multiple sclerosis (SPMS). METHODS: Subjects enrolled in the Comprehensive Longitudinal Investigation of Multiple Sclerosis at Brigham and Women's Hospital (CLIMB) who completed PRO measures in the RRMS and SPMS phases were identified (n = 52). The PRO measures were Medical Outcomes Study Short-Form 36 Health Survey (SF-36), the Modified Fatigue Impact Scale (MFIS), and the Center for Epidemiologic Studies Depression Scale (CESD). Two control groups of RRMS CLIMB patients who did not progress to SPMS were identified based on different matching criteria related to age, sex, disease duration and Expanded Disability Status Scale (EDSS). Summary statistics for each PRO were calculated at the last RRMS measurement and first SPMS measurement, and the change over this transition was calculated using a paired t-test. Patients who transitioned were compared to the control groups using linear regression to adjust for age, disease duration and EDSS and a mixed model to further account for the matching with a random effect for matched group. RESULTS: Patients who transitioned from RRMS to SPMS had noticeable deficits in terms of Quality of Life (QOL) and fatigue at the visit prior to the transition. Patients worsened in terms of SF-36 Role Physical (- 3.6 [- 6.6, - 0.7]), Social Functioning (- 3.7 [- 6.4, - 1.0]), and Physical Component Summary (- 2.3 [- 4.5, - 0.1]) during the transition from RRMS to SPMS. When patients who transitioned were compared to the matched subjects, they had worse scores on several outcomes, including Physical Functioning (adjusted mean difference = - 10.8 [- 14.1, - 7.5]), Physical Component Summary (- 5.2 [- 9.3, - 1.0]), fatigue (8.9 [1.7, 16.1]), and depression (3.1 [0.3, 5.9]). CONCLUSIONS: Patients in the period closely preceding transition from RRMS to SPMS have worse physical QOL and fatigue compared to subjects who remain RRMS.

Trajectories of Symbol Digit Modalities Test performance in individuals with multiple sclerosis.

BACKGROUND: Although cognitive problems have been identified in people with multiple sclerosis (PwMS), few studies have investigated the long-term change in cognitive functioning. OBJECTIVE: To identify trajectories of change in cognitive functioning for PwMS. METHODS: Participants enrolled in the quality-of-life subgroup from the Comprehensive Longitudinal Investigation of Multiple Sclerosis at Brigham and Women's Hospital (CLIMB) were eligible for our analysis. In 2006, participants in this group began to complete the Symbol Digit Modalities Test (SDMT) annually. Latent trajectory models were used to identify groups of participants with similar longitudinal change in SDMT scores. Linear and quadratic trajectory models were fit, and the models were compared. Latent trajectory models were also fit adjusting for baseline age and disease duration as well as using normalized SDMT scores. The groups identified across the approaches were compared. RESULTS: We found that classes with higher-than-average baseline values improved, classes with average baseline values remained relatively constant, and classes with lower baseline values experienced cognitive worsening. Similar results were observed in the alternative latent trajectory models accounting for other variables. CONCLUSION: Our models show that subjects with higher SDMT scores at baseline showed improvement, while subjects with lower SDMT scores at baseline showed worsening. Baseline age and disease duration were also associated with SDMT performance.

Microstructural fronto-striatal and temporo-insular alterations are associated with fatigue in patients with multiple sclerosis independent of white matter lesion load and depression.

BACKGROUND: Fatigue in multiple sclerosis (MS) has been inconsistently associated with disruption of specific brain circuitries. Temporal fluctuations of fatigue have not been considered. OBJECTIVE: The aim of this study was to investigate the association of fatigue with brain diffusion abnormalities, using robust criteria for patient stratification based on longitudinal patterns of fatigue. METHODS: Patient stratification: (1) sustained fatigue (SF, n = 26): latest two Modified Fatigue Impact Scale (MFIS) ⩾ 38; (2) reversible fatigue (RF, n = 25): latest MFIS < 38 and minimum one previous MFIS ⩾ 38; and (3) never fatigued (NF, n = 42): MFIS always < 38 (five assessments minimum). 3T brain magnetic resonance imaging (MRI) was used to perform voxel-wise comparison of fractional anisotropy (FA) between the groups controlling for age, sex, disease duration, physical disability, white matter lesion load (T2LV), and depression. RESULTS: SF and, to a lesser extent, RF patients showed lower FA in multiple brain regions compared to NF patients, independent of age, sex, disease duration, and physical disability. In cingulo-postcommissural-striato-thalamic regions, the differences in FA between SF and NF (but not between RF and NF or SF) patients were independent of T2LV, and in ventromedial prefronto-precommissuro-striatal and temporo-insular areas, independent of T2LV and depression. CONCLUSION: Damage to ventromedial prefronto-precommissuro-striatal and temporo-insular pathways appears to be a specific substrate of SF in MS.

A probiotic modulates the microbiome and immunity in multiple sclerosis.

OBJECTIVE: Effect of a probiotic on the gut microbiome and peripheral immune function in healthy controls and relapsing-remitting multiple sclerosis (MS) patients. METHODS: MS patients (N = 9) and controls (N = 13) were orally administered a probiotic containing Lactobacillus, Bifidobacterium, and Streptococcus twice-daily for two months. Blood and stool specimens were collected at baseline, after completion of the 2-month treatment, and 3 months after discontinuation of therapy. Frozen peripheral blood mononuclear cells (PBMCs) were used for immune cell profiling. Stool samples were used for 16S rRNA profiling and metabolomics. RESULTS: Probiotic administration increased the abundance of several taxa known to be depleted in MS such as Lactobacillus. We found that probiotic use decreased the abundance of taxa previously associated with dysbiosis in MS, including Akkermansia and Blautia. Predictive metagenomic analysis revealed a decrease in the abundance of several KEGG (Kyoto Encyclopedia of Genes and Genomes) pathways associated with altered gut microbiota function in MS patients, such as methane metabolism, following probiotic supplementation. At the immune level, probiotic administration induced an anti-inflammatory peripheral immune response characterized by decreased frequency of inflammatory monocytes, decreased mean fluorescence intensity (MFI) of CD80 on classical monocytes, as well as decreased human leukocyte antigen (HLA) D related MFI on dendritic cells. Probiotic administration was also associated with decreased expression of MS risk allele HLA-DQA1 in controls. Probiotic-induced increase in abundance of Lactobacillus and Bifidobacterium was associated with decreased expression of MS risk allele HLA.DPB1 in controls. INTERPRETATION: Our results suggest that probiotics could have a synergistic effect with current MS therapies. Ann Neurol 2018.

Food allergies are associated with increased disease activity in multiple sclerosis.

OBJECTIVE: The association between allergy and multiple sclerosis (MS) is still unclear. In our study, we assessed the association between a self-reported history of allergic conditions with MS clinical and MRI disease activity. METHODS: A subset of 1349 patients enrolled in the Comprehensive Longitudinal Investigation of Multiple Sclerosis at the Brigham and Women's Hospital (CLIMB) study completed a self-administered questionnaire on environmental, food and drug allergies. Patients were distributed among four allergy groups: (1) environmental, (2) food, (3) drug, (4) no known allergies (NKA). Clinical (number of attacks, expanded disability status scale (EDSS), MS severity score (MSSS)) and radiological variables (presence of gadolinium-enhancing lesions and lesion count), and their associations with the different allergy groups or those with NKA, were assessed. RESULTS: The food allergy group had a 1.38 times higher rate for cumulative number of attacks compared with the NKA group (P=0.0062); this difference remained significant in the adjusted analysis (relapse rate ratio 1.27, P=0.0305). The food allergy group showed more than twice the likelihood (OR 2.53, P=0.0096) of having gadolinium-enhancing lesions on MRI. The environmental and drug allergy groups did not show significant differences when compared with the NKA group. The EDSS and MSSS were not affected by any type of allergy. CONCLUSIONS: MS patients with food allergy had more relapses and a higher likelihood of gadolinium-enhancing lesions compared with patients with no known allergy. Future prospective studies are needed to confirm our findings and investigate underlying biological mechanisms, which may unveil new therapeutic and preventative strategies for MS.

Assessment of computer adaptive testing version of the Neuro-QOL for people with multiple sclerosis.

BACKGROUND: To date, the computerized adaptive testing (CAT) version of the Neuro-quality of life (QOL) has not been assessed in a large sample of people with multiple sclerosis (MS). OBJECTIVE: The aim of this study was to assess the associations between the CAT version of Neuro-QOL and other clinical and patient-reported outcome measures. METHODS: Subjects (n = 364) enrolled in SysteMS completed the CAT version of the Neuro-QOL and the 36-Item Short Form Survey (SF-36) within 4 weeks of a clinical exam that included the Multiple Sclerosis Functional Composite-4 (MSFC-4). The correlations between the Neuro-QOL domains and the MSFC-4 subscores and the SF-36 scores were calculated. The changes over time in the Neuro-QOL and other measures were also examined. RESULTS: The lower extremity functioning score of the Neuro-QOL showed the highest correlations with MSFC-4 components including Timed 25-Foot Walk, 9-Hole Peg Test, and cognitive score. The expected domains of the Neuro-QOL showed high correlations with the SF-36 subscores, and some Neuro-QOL domains were associated with many SF-36 subscores. There was limited longitudinal change on the Neuro-QOL domains over 12 months, and the change was not associated with change on other measures. CONCLUSION: The CAT version of the Neuro-QOL shows many of the expected associations with clinical and patient-reported outcome measures.

Fatty acid binding protein-4 is associated with disability in multiple sclerosis patients.

BACKGROUND: Increased adiposity is a risk factor for multiple sclerosis (MS) and is associated with increased disability scores. Adipokines may mediate the effects of adiposity on MS disease course. OBJECTIVE: The objective of this study is to examine the association between the adipokines (leptin and fatty acid binding protein-4, FABP4) and clinical course in individuals with MS. METHODS: Subjects (18-65 years) with relapsing-remitting MS or clinically isolated syndrome and <10 year disease duration were selected from a longitudinal clinical study. Cross-sectional and longitudinal models assessed the relationship between two adipokines (leptin and FABP4) and disease severity in women and men, adjusting for age, disease duration and disease type, Vitamin D level, testosterone level, and as well by body mass index (BMI). RESULTS: Mean age of subjects ( N = 163, 56% women) was 39.3 years. Higher FABP4 levels were associated with higher Expanded Disability Status Scale (EDSS) scores in women in both univariate and multivariate analyses (odds ratio: 1.30; p = 0.005). In men, higher FABP4 level was significantly associated with change in EDSS over time (estimate: 0.0062; p = 0.035). We found no association of FABP4 levels with time to next relapse or a measure of processing speed. CONCLUSION: FABP4 levels may be associated with increased disability in both men and women with MS independent of effects of BMI and other hormones. Future studies should expand these analyses and further explore downstream mechanisms of adiposity-related effects in MS.

The neutrophil-to-lymphocyte and monocyte-to-lymphocyte ratios are independently associated with neurological disability and brain atrophy in multiple sclerosis.

BACKGROUND: Serum hematological indices such as the neutrophil-lymphocyte ratio (NLR) or monocyte-lymphocyte ratio (MLR) have been used as biomarkers of pathogenic inflammation and prognostication in multiple areas of medicine; recent evidence shows correlation with psychological parameters as well. OBJECTIVES/AIMS: To characterize clinical, neuroimaging, and psycho-neuro-immunological associations with NLR and MLR in persons with multiple sclerosis (MS). METHODS: We identified a large cohort of clinically well-defined patients from our longitudinal database that included MS-related outcomes, disease-modifying therapy, patient-reported outcome (PRO) measures, and quantified cerebral MRI at 1.5 T. We queried hospital records for complete blood counts within 2 months of each clinic visit and excluded those obtained during clinical relapses. Four hundred eighty-three patients, with a mean of 3 longitudinal observations each, were identified who met these criteria. Initial analyses assessed the association between NLR and MLR as the outcomes, and psychological and demographic predictors in univariable and multivariable models controlling for age, gender and treatment. The second set of analyses assessed the association between clinical and MRI outcomes including whole brain atrophy and T2-hyperintense lesion volume, with NLR and MLR as predictors in univariable and multivariable models. All analyses used a mixed effects linear or logistic regression model with repeated measures. RESULTS: Unadjusted analyses demonstrated significant associations between higher (log-transformed) NLR (but not MLR) and PRO measures including increasing depression (p = 0.01), fatigue (p < 0.01), and decreased physical quality of life (p < 0.01). Higher NLR and MLR strongly predicted increased MS-related disability as assessed by the Expanded Disability Status Scale, independent of all demographic, clinical, treatment-related, and psychosocial variables (p < 0.001). Lastly, higher NLR and MLR significantly discriminated progressive from relapsing status (p ≤ 0.01 for both), and higher MLR correlated with increased whole-brain atrophy (p < 0.05) but not T2 hyperintense lesion volume (p > 0.05) even after controlling for all clinical and demographic covariates. Sensitivity analyses using a subset of untreated patients (N = 146) corroborated these results. CONCLUSIONS: Elevated NLR and MLR may represent hematopoetic bias toward increased production and pro-inflammatory priming of the myeloid innate immune system (numerator) in conjunction with dysregulated adaptive immune processes (denominator), and consequently reflect a complementary and independent marker for severity of MS-related neurological disability and MRI outcomes.

Agreement analysis comparing iPad LCVA and Sloan testing in multiple sclerosis patients.

BACKGROUND: Visual symptoms are common in multiple sclerosis (MS). Low-contrast visual acuity (LCVA) testing using Sloan charts has demonstrated increased sensitivity for visual deficits compared to high-contrast acuity testing. Computerized testing of visual acuity may facilitate use in the clinic setting. OBJECTIVES: To evaluate the agreement between an iPad-based and Sloan testing of LCVA in a cohort of MS patients. METHODS: A total of 38 patients with relapsing-remitting MS were enrolled after providing informed written consent at Partners MS Center, Brigham and Women's hospital. Monocular LCVA was measured using retroilluminated Sloan chart and iPad-based LogMAR chart. Number of correct letters and agreement between two measurements were assessed for each eye using Bland-Altman analysis and paired t-test. RESULTS: For both eyes, there was no significant difference in number correct between the two measurements using a paired t-test, and there was high correlation between two measurements (oculus dextrus (OD) r = 0.89, p < 0.001; oculus sinister (OS) r = 0.78, p < 0.001). The limits of agreement were -7.9 to +8.5 letters for the right eye and -10.9 to +11.2 letters for the left eye. CONCLUSION: An iPad-based LCVA test shows good agreement with Sloan testing in MS patients.

Oral contraceptives and MS disease activity in a contemporary real-world cohort.

BACKGROUND: There is uncertainty regarding the effect of oral hormonal contraceptives (OC) on multiple sclerosis (MS) course. OBJECTIVE: To evaluate the hypothesis that OC use is associated with decreased risk of relapses in an observational study of women of childbearing age with new-onset MS starting a first-line injectable disease-modifying therapy (DMT). METHODS: From our CLIMB longitudinal observational study, we identified 162 women with MS or CIS with known OC use who initiated injectable DMT within two years of symptom onset, and categorized OC use at DMT onset as past, ever or never. Our primary analysis was comparison of annualized relapse rate from baseline DMT start across the three OC use categories using a negative binomial regression model. RESULTS: In this cohort of 162 women, 81 were treated with interferon therapy and 81 with glatiramer acetate. Mean ages for current-, past-, and never-OC users were 31.4 ( n = 46), 40.3 ( n = 66), and 37.9 ( n = 50) years, respectively ( p < 0.05); mean disease duration (1.0 years) and median baseline EDSS (1.0) did not differ between groups. Prior OC users had significantly lower relapse rates than never-users ( p = 0.031); the lower annualized relapse rate in current-users relative to never-users was not significant ( p = 0.91). Annualized relapse rate was not significantly different across the OC groups ( p = 0.057, three-group comparison). RESULTS: These observations provide reassurance for women newly diagnosed that OC use, past or current, does not appear to be associated with greater risk of relapses.

Investigation of probiotics in multiple sclerosis.

None of the disease-modifying therapies (DMTs) currently being used for the management of multiple sclerosis (MS) are 100% effective. In addition, side effects associated with the use of these DMTs have limited the practice of combination therapy. Hence, there is a need for safe immunomodulatory agents to fine-tune the management of MS. The gut microbiome plays an important role in autoimmunity, and several studies have reported alterations in the gut microbiome of MS patients. Studies in animal model of MS have identified members of the gut commensal microflora that exacerbate or ameliorate neuroinflammation. Probiotics represent an oral, non-toxic immunomodulatory agent that could be used in combination with current MS therapy. We designed a pilot study to investigate the effect of VSL3 on the gut microbiome and peripheral immune system function in healthy controls and MS patients. VSL3 administration was associated with increased abundance of many taxa with enriched taxa predominated by Lactobacillus, Streptococcus, and Bifidobacterium species. At the immune level, VSL3 administration induced an anti-inflammatory peripheral immune response characterized by decreased frequency of intermediate monocytes (CD14highCD16low), decreased mean fluorescence intensity (MFI) of CD80 on classical monocytes as well as decreased human leukocyte antigen-antigen D related (HLA-DR) MFI on dendritic cells.

Correlating serum micrornas and clinical parameters in amyotrophic lateral sclerosis.

INTRODUCTION: Amyotrophic lateral sclerosis (ALS) is a debilitating neurologic disorder with poor survival rates and no clear biomarkers for disease diagnosis and prognosis. METHODS: We compared serum microRNA (miRNA) expression from patients with ALS with healthy controls and patients with multiple sclerosis and Alzheimer disease. We also correlated miRNA expression in cross-sectional and longitudinal cohorts of ALS patients with clinical parameters. RESULTS: We identified 7 miRNAs (miR-192-5p, miR-192-3p, miR-1, miR-133a-3p, miR-133b, miR-144-5p, miR-19a-3p) that were upregulated and 6 miRNAs (miR-320c, miR-320a, let-7d-3p, miR-425-5p, miR-320b, miR-139-5p) that were downregulated in patients with ALS compared with healthy controls, patients with Alzheimer disease, and patients with multiple sclerosis. Changes in 4 miRNAs (miR-136-3p, miR-30b-5p, miR-331-3p, miR-496) correlated positively and change in 1 miRNA (miR-2110) correlated negatively with changes in clinical parameters in longitudinal analysis. DISCUSSION: Our findings identified serum miRNAs that can serve as biomarkers for ALS diagnosis and progression. Muscle Nerve 58: 261-269, 2018.