Trends in central nervous system-active polypharmacy among people with multiple sclerosis.

BACKGROUND: People with multiple sclerosis (pwMS) are at risk of concurrently using multiple central nervous system (CNS)-active drugs, yet the prevalence of CNS-active polypharmacy remains unmeasured in pwMS. OBJECTIVE: The objective is to measure the prevalence of CNS-active polypharmacy in pwMS. METHODS: This serial, cross-sectional study measured CNS-active polypharmacy in people with MS in the United States from 2008 to 2021 using insurance claims data. CNS-active polypharmacy was defined as the concurrent prescription of ⩾3 CNS-active drugs for >30 continuous days. CNS-active drugs included antidepressants, antiepileptics, antipsychotics, benzodiazepines, nonbenzodiazepine benzodiazepine receptor agonist hypnotics, opioids, and skeletal muscle relaxants. RESULTS: The number of subjects included at each time point ranged from 23,917 subjects in 2008 to 55,797 subjects in 2021. In 2021, subjects with CNS-active polypharmacy were more likely to be 46-65 years of age and have CNS-related comorbidities compared to those without CNS-active polypharmacy. From 2008 to 2021, the age-adjusted prevalence of CNS-active polypharmacy among female subjects increased from 19.8% (95% confidence interval (CI) = 19.1-20.4) to 26.4% (95% CI = 25.9-26.8) versus 15.9% (95% CI = 14.8-17.0) to 18.6% (95% CI = 17.9-19.2) in male subjects. CONCLUSION: The prevalence of CNS-active polypharmacy has increased among people with MS with a growing disparity by sex.

Montelukast as a repurposable additive drug for standard-efficacy multiple sclerosis treatment: Emulating clinical trials with retrospective administrative health claims data.

BACKGROUND: Effective and safe treatment options for multiple sclerosis (MS) are still needed. Montelukast, a leukotriene receptor antagonist (LTRA) currently indicated for asthma or allergic rhinitis, may provide an additional therapeutic approach. OBJECTIVE: The study aimed to evaluate the effects of montelukast on the relapses of people with MS (pwMS). METHODS: In this retrospective case-control study, two independent longitudinal claims datasets were used to emulate randomized clinical trials (RCTs). We identified pwMS aged 18-65 years, on MS disease-modifying therapies concomitantly, in de-identified claims from Optum's Clinformatics® Data Mart (CDM) and IQVIA PharMetrics® Plus for Academics. Cases included 483 pwMS on montelukast and with medication adherence in CDM and 208 in PharMetrics Plus for Academics. We randomly sampled controls from 35,330 pwMS without montelukast prescriptions in CDM and 10,128 in PharMetrics Plus for Academics. Relapses were measured over a 2-year period through inpatient hospitalization and corticosteroid claims. A doubly robust causal inference model estimated the effects of montelukast, adjusting for confounders and censored patients. RESULTS: pwMS treated with montelukast demonstrated a statistically significant 23.6% reduction in relapses compared to non-users in 67.3% of emulated RCTs. CONCLUSION: Real-world evidence suggested that montelukast reduces MS relapses, warranting future clinical trials and further research on LTRAs' potential mechanism in MS.

Choroid plexus volume differentiates MS from its mimics.

This study aimed to determine whether choroid plexus volume (CPV) could differentiate multiple sclerosis (MS) from its mimics. A secondary analysis of two previously enrolled studies, 50 participants with MS and 64 with alternative diagnoses were included. CPV was automatically segmented from 3T magnetic resonance imaging (MRI), followed by manual review to remove misclassified tissue. Mean normalized choroid plexus volume (nCPV) to intracranial volume demonstrated relatively high specificity for MS participants in each cohort (0.80 and 0.76) with an area under the receiver-operator characteristic curve of 0.71 (95% confidence interval (CI) = 0.55-0.87) and 0.65 (95% CI = 0.52-0.77). In this preliminary study, nCPV differentiated MS from its mimics.

Correcting synthetic MRI contrast-weighted images using deep learning.

Synthetic magnetic resonance imaging (MRI) offers a scanning paradigm where a fast multi-contrast sequence can be used to estimate underlying quantitative tissue parameter maps, which are then used to synthesize any desirable clinical contrast by retrospectively changing scan parameters in silico. Two benefits of this approach are the reduced exam time and the ability to generate arbitrary contrasts offline. However, synthetically generated contrasts are known to deviate from the contrast of experimental scans. The reason for contrast mismatch is the necessary exclusion of some unmodeled physical effects such as partial voluming, diffusion, flow, susceptibility, magnetization transfer, and more. The inclusion of these effects in signal encoding would improve the synthetic images, but would make the quantitative imaging protocol impractical due to long scan times. Therefore, in this work, we propose a novel deep learning approach that generates a multiplicative correction term to capture unmodeled effects and correct the synthetic contrast images to better match experimental contrasts for arbitrary scan parameters. The physics inspired deep learning model implicitly accounts for some unmodeled physical effects occurring during the scan. As a proof of principle, we validate our approach on synthesizing arbitrary inversion recovery fast spin-echo scans using a commercially available 2D multi-contrast sequence. We observe that the proposed correction visually and numerically reduces the mismatch with experimentally collected contrasts compared to conventional synthetic MRI. Finally, we show results of a preliminary reader study and find that the proposed method statistically significantly improves in contrast and SNR as compared to synthetic MR images.

A multicenter pilot study evaluating simplified central vein assessment for the diagnosis of multiple sclerosis.

BACKGROUND: The central vein sign (CVS) is a proposed magnetic resonance imaging (MRI) biomarker for multiple sclerosis (MS); the optimal method for abbreviated CVS scoring is not yet established. OBJECTIVE: The aim of this study was to evaluate the performance of a simplified approach to CVS assessment in a multicenter study of patients being evaluated for suspected MS. METHODS: Adults referred for possible MS to 10 sites were recruited. A post-Gd 3D T2*-weighted MRI sequence (FLAIR*) was obtained in each subject. Trained raters at each site identified up to six CVS-positive lesions per FLAIR* scan. Diagnostic performance of CVS was evaluated for a diagnosis of MS which had been confirmed using the 2017 McDonald criteria at thresholds including three positive lesions (Select-3*) and six positive lesions (Select-6*). Inter-rater reliability assessments were performed. RESULTS: Overall, 78 participants were analyzed; 37 (47%) were diagnosed with MS, and 41 (53%) were not. The mean age of participants was 45 (range: 19-64) years, and most were female (n = 55, 71%). The area under the receiver operating characteristic curve (AUROC) for the simplified counting method was 0.83 (95% CI: 0.73-0.93). Select-3* and Select-6* had sensitivity of 81% and 65% and specificity of 68% and 98%, respectively. Inter-rater agreement was 78% for Select-3* and 83% for Select-6*. CONCLUSION: A simplified method for CVS assessment in patients referred for suspected MS demonstrated good diagnostic performance and inter-rater agreement.

Indirect impact of the COVID-19 pandemic on the care and outcomes of people with MS: A combined survey and insurance claims study.

BACKGROUND: In the context of the COVID-19 pandemic, people with multiple sclerosis (pwMS) have been particularly vulnerable to adverse outcomes due to increased risk of severe infection and/or widespread disruptions in care. The CopeMS study led by The University of Texas at Austin and the MS Association of America investigates the long-term impact of the COVID-19 pandemic on healthcare access, disease modifying therapy (DMT) utilization and outcomes of pwMS. METHODS: This retrospective cohort analysis used Optum's de-identified Clinformatics® Data Mart Database (CDM), a large de-identified administrative healthcare claims database to identify pwMS who were continuously enrolled from 01/01/2019 to 12/31/2020 and assessed changes in the utilization of DMTs and healthcare services during the COVID-19 pandemic compared to the year prior. Additionally, a national survey of pwMS and healthcare providers (HCPs) was conducted to further understand the indirect impact of the pandemic on healthcare resource utilization (HCRU), outcomes and prescription patterns. RESULTS: Out of 529 pwMS in our national survey, over 47 % reported that their overall health and neurologic symptoms had deteriorated during the COVID-19 pandemic, with increased anxiety, and inability to maintain exercise habits as leading perceived causes for worsening. Survey respondents reported widespread disruption of MS-related services during the pandemic. In the Optum database, we identified 39,209 pwMS validating inclusion criteria. We observed a decrease in the utilization of MS-related services in 2020 compared to 2019. Significantly fewer pwMS had visits with their neurologist, primary care provider, physical or occupational therapist despite an increased utilization of telemedicine services. Fewer pwMS had magnetic resonance imaging (MRI) studies of the brain or spinal cord during the pandemic. Only 22.2 % of HCPs surveyed agreed that the perceived risk of more severe COVID-19 infection on a specific DMT influenced their therapeutic decisions. In the Optum database, individuals with an established diagnosis of MS prior to 2019 saw decreases in utilization of platform and moderate efficacy DMTs. In this group, those over the age of 55 saw a decrease in utilization of B-cell therapies (rate ratio 0.79, CI 0.75-0.83), whereas individuals under the age of 55 saw an increase in utilization of B-cell therapies (rate ratio 1.10, CI 1.03-1.17). We did not see any difference in rates of starting DMTs in persons diagnosed in 2019 prior to the pandemic and those diagnosed in 2020. Compared to 2019, B-cell therapies were prescribed more frequently in pwMS diagnosed in 2020 who were younger than 55 or commercially insured (rate ratio 1.35, CI 1.11-1.63). CONCLUSION: The COVID-19 pandemic was associated with perceived worsening of neurological symptoms in pwMS. Despite the expansion of telemedicine, we observed decreased access to healthcare services important to the comprehensive care of pwMS. Additionally, we observed changes in DMT utilization in pwMS during the pandemic, particularly in older adults with an established diagnosis of MS.

Outcomes and Health Care Service Use in Adults 50 Years or Older With and Without Multiple Sclerosis: A 6-Year Observational Analysis.

BACKGROUND: Multiple sclerosis (MS) typically presents in young adulthood. Recent data show the highest prevalence of MS in people aged 55 to 64 years; however, there are limited studies of this population. METHODS: Administrative US claims data from IBM-Truven MarketScan commercial and Medicare databases (2011-2017) were analyzed. People with MS 50 years or older were assigned to the aging MS cohort (n = 10,746). The matched controls were people 50 years or older without MS (n = 10,746). Multivariable models compared outcomes between groups. RESULTS: Infections were more frequent in the aging MS cohort vs matched controls (61% vs 45%; P < .0001); urinary tract, acute upper respiratory tract, and herpes zoster were the most frequent infection types. Malignancy rates were 20% for both groups (P = .8167); skin, breast, and prostate malignancies were the most frequent types. Skilled nursing facilities (aging MS cohort, 12%; matched controls, 3%; P < .0001) and MRI (aging MS cohort, 87%; matched controls, 37%; P < .0001) were used more frequently in the aging MS cohort; brain and spine were the most frequent types of MRI in the aging MS cohort. Time to first cane/walker or wheelchair use was shorter in the aging MS cohort (cane/walker use: HR, 2.1; 95% CI, 1.9-2.3; P < .0001; wheelchair use: HR, 6.9; 95% CI, 6.0-8.1; P < .0001). CONCLUSIONS: In people 50 years or older, measures typically associated with worse health primarily resulted from having MS rather than being a consequence of aging alone.

A gene regulatory network approach harmonizes genetic and epigenetic signals and reveals repurposable drug candidates for multiple sclerosis.

Multiple sclerosis (MS) is a complex dysimmune disorder of the central nervous system. Genome-wide association studies (GWAS) have identified 233 genetic variations associated with MS at the genome-wide significant level. Epigenetic studies have pinpointed differentially methylated CpG sites in MS patients. However, the interplay between genetic risk factors and epigenetic regulation remains elusive. Here, we employed a network model to integrate GWAS summary statistics of 14 802 MS cases and 26 703 controls with DNA methylation profiles from 140 MS cases and 139 controls and the human interactome. We identified differentially methylated genes by aggregating additive effects of differentially methylated CpG sites within promoter regions. We reconstructed a gene regulatory network (GRN) using literature-curated transcription factor knowledge. Colocalization of the MS GWAS and methylation quantitative trait loci (mQTL) was performed to assess the GRN. The resultant MS-associated GRN highlighted several single nucleotide polymorphisms with GWAS-mQTL colocalization: rs6032663, rs6065926 and rs2024568 of CD40 locus, rs9913597 of STAT3 locus, and rs887864 and rs741175 of CIITA locus. Moreover, synergistic mQTL and expression QTL signals were identified in CD40, suggesting gene expression alteration was likely induced by epigenetic changes. Web-based Cell-type Specific Enrichment Analysis of Genes (WebCSEA) indicated that the GRN was enriched in T follicular helper cells (P-value = 0.0016). Drug target enrichment analysis of annotations from the Therapeutic Target Database revealed the GRN was also enriched with drug target genes (P-value = 3.89 × 10-4), revealing repurposable candidates for MS treatment. These candidates included vorinostat (HDAC1 inhibitor) and sivelestat (ELANE inhibitor), which warrant further investigation.

Effect of GBCA Use on Detection and Diagnostic Performance of the Central Vein Sign: Evaluation Using a 3-T FLAIR* Sequence in Patients With Suspected Multiple Sclerosis.

BACKGROUND. The central vein sign (CVS) is a proposed MRI biomarker of multiple sclerosis (MS). The impact of gadolinium-based contrast agent (GBCA) administration on CVS evaluation remains poorly investigated. OBJECTIVE. The purpose of this study was to assess the effect of GBCA use on CVS detection and on the diagnostic performance of the CVS for MS using a 3-T FLAIR* sequence. METHODS. This study was a secondary analysis of data from the pilot study for the prospective multicenter Central Vein Sign: A Diagnostic Biomarker in Multiple Sclerosis (CAVS-MS), which recruited adults with suspected MS from April 2018 to February 2020. Participants underwent 3-T brain MRI including FLAIR and precontrast and post-contrast echo-planar imaging T2*-weighted acquisitions. Postprocessing was used to generate combined FLAIR and T2*-weighted images (hereafter, FLAIR*). MS diagnoses were established using the 2017 McDonald criteria. Thirty participants (23 women, seven men; mean age, 45 years) were randomly selected from the CAVS-MS pilot study cohort. White matter lesions (WMLs) were marked using FLAIR* images. A single observer, blinded to clinical data and GBCA use, reviewed marked WMLs on FLAIR* images for the presence of the CVS. RESULTS. Thirteen of 30 participants had MS. Across participants, on precontrast FLAIR* imaging, 218 CVS-positive and 517 CVS-negative WMLs were identified; on post-contrast FLAIR* imaging, 269 CVS-positive and 459 CVS-negative WMLs were identified. The fraction of WMLs that were CVS-positive on precontrast and postcontrast images was 48% and 58% in participants with MS and 7% and 10% in participants without MS, respectively. The median patient-level CVS-positivity rate on precontrast and postcontrast images was 43% and 67% for participants with MS and 4% and 8% for participants without MS, respectively. In a binomial model adjusting for MS diagnoses, GBCA use was associated with an increased likelihood of at least one CVS-positive WML (odds ratio, 1.6; p < .001). At a 40% CVS-positivity threshold, the sensitivity of the CVS for MS increased from 62% on precontrast images to 92% on postcontrast images (p = .046). Specificity was not significantly different between precontrast (88%) and postcontrast (82%) images (p = .32). CONCLUSION. GBCA use increased CVS detection on FLAIR* images, thereby increasing the sensitivity of the CVS for MS diagnoses. CLINICAL IMPACT. The postcontrast FLAIR* sequence should be considered for CVS evaluation in future investigational trials and clinical practice.

High-Efficacy Therapies for Treatment-Naïve Individuals with Relapsing-Remitting Multiple Sclerosis.

There are > 18 distinct disease-modifying therapy (DMT) options covering 10 mechanisms of action currently approved by the US Food and Drug Administration for the treatment of relapsing-remitting multiple sclerosis (RRMS). Given the multitude of available treatment options, and recent international consensus guidelines offering differing recommendations, there is broad heterogeneity in how the DMTs are used in clinical practice. Choosing a DMT for newly diagnosed patients with MS is currently a topic of significant debate in MS care. Historically, an escalation approach to DMT was used for newly diagnosed patients with RRMS. However, the evidence for clinical benefits of early treatment with high-efficacy therapies (HETs) in this population is emerging. In this review, we provide an overview of the DMT options and MS treatment strategies, and discuss the clinical benefits of HETs (including ofatumumab, ocrelizumab, natalizumab, alemtuzumab, and cladribine) in the early stages of MS, along with safety concerns associated with these DMTs. By minimizing the accumulation of neurological damage early in the disease course, early treatment with HETs may enhance long-term clinical outcomes over the lifetime of the patient.

Disease-modifying therapies (DMTs) can help people with multiple sclerosis (MS) by changing the way that their MS develops over time. Some people with MS have relapses when their symptoms get worse, followed by recovery when their MS is remitting. This is called relapsing­remitting MS (RRMS). DMTs can reduce both the number and the severity of relapses. They can also delay the nerve damage that relapses cause. A range of DMTs are approved for treating people with RRMS. These treatments work in different ways, and international treatment guidelines vary on their recommendations for using DMTs in the clinic. Selecting DMTs for people with newly diagnosed RRMS is still a topic of discussion. Previously, people with RRMS only received the more effective high-efficacy therapies (HETs) if their first treatment was not effective. HETs include ofatumumab, ocrelizumab, natalizumab, alemtuzumab, and cladribine. Recently, using HETs at an earlier stage has shown promising results. In this review article, we provide an overview of the clinical strategies and the DMT options that are available for people with MS. Additionally, we discuss the benefits of using HETs for people with newly diagnosed MS and consider the safety issues related to DMTs. We summarize that using HETs to reduce the buildup of nerve damage during the early stages of MS may lead to improved long-term clinical outcomes over a person's lifetime.

Cerebral blood flow is associated with markers of neurodegeneration in Huntington's disease.

INTRODUCTION: The ultimate cause of neuronal death in Huntington's disease (HD) is still uncertain. Apart from impairment in systems handling abnormal proteins, other mechanisms might contribute to neurodegeneration and progression of HD. Decreased cerebral blood flow (CBF) has been described in other neurodegenerative disorders and may play a role in HD. OBJECTIVES: To investigate CBF changes in HD gene carriers. METHODS: A group of 39 HD gene carriers (18 premanifest and 21 manifest HD) and 16 controls underwent a comprehensive clinical evaluation and a brain magnetic resonance imaging protocol that included pseudo-continuous arterial spin labeling to quantify CBF. Regions of interest (ROI) analyses were performed to compare CBF in controls vs premanifest HD vs manifest HD. Correlation analyses were performed to ascertain the relationship between CBF and clinical and biomarkers data. RESULTS: We found a decrease in CBF in bilateral caudate and putamen of patients with manifest HD in comparison with controls. CBF of premanifest HD carriers in the same ROIs was midway between controls and the HD patients, with differences not reaching statistical significance. Lower CBF in caudate and putamen was associated with worse motor symptoms, functionality, and cognitive performance. CBF was also associated with markers of neurodegeneration: higher CBF in caudate and putamen significantly correlated to higher volumes in the same ROI and to lower levels of neurofilament light chain. CONCLUSION: As CBF changes in caudate and putamen nuclei were associated with markers of neurodegeneration and with clinical outcomes, decreased CBF and oxygen supply could emerge as a relevant mechanism contributing to degeneration in HD.

Enrollment of Non-White Participants and Reporting of Race and Ethnicity in Phase III Trials of Multiple Sclerosis DMTs: A Systematic Review.

BACKGROUND AND OBJECTIVES: Black and Hispanic people with multiple sclerosis (MS) (pMS) have been found to have different disease courses or worse outcomes associated with MS compared to White pMS. They are also more likely to be negatively affected by social determinants of health, further worsening disparities in outcomes. As these disparities may affect treatment response, non-White pMS must be included in trials for greater generalizability of research and therefore more inclusive treatment plans. In this study, we aimed to evaluate how representation of non-White groups in phase III trials of approved disease-modifying therapies (DMTs) has evolved over time and how race and ethnicity are reported in medical journals and on manufacturer websites. METHODS: We conducted a systematic review of the PubMed database from 1995 to June 2020 to identify manufacturer-sponsored phase III trials for Food and Drug Administration-approved MS DMTs. We explored how race and ethnicity were reported in trial publications. Using studies where information was available, we analyzed the representation of non-White pMS over time and compared to multinational census data. We reviewed patient- and health care provider (HCP)-facing websites of available DMTs to assess the dissemination of information on racial and ethnic representation in trials. RESULTS: A total of 44 phase III trial publications were reviewed, representing 45 trials, among which 17 (37.8%) did not report race or ethnicity, 14 (31.1%) reported race and ethnicity as proportion of White participants only, and 14 (31.1%) reported 2 or more races/ethnicities. When compared to multinational census data, non-White pMS were significantly underrepresented in MS trials. Due to lack of data, trends in representation of other races and ethnicities could not be assessed. No patient- or HCP-facing DMT websites reported data on race and ethnicity in pivotal trials. Study results are available on our study dashboard. CONCLUSION: Race and ethnicity are underreported in MS DMT trial publications and race and ethnic representation are omitted from manufacturer websites. When available, data show that non-White pMS are significantly underrepresented in MS trials. The availability of this information is crucial for patients, together with their HCPs, to make informed decisions about their care.

Cerebellar pathology and disability worsening in relapsing-remitting multiple sclerosis: A retrospective analysis from the CombiRx trial.

BACKGROUND AND PURPOSE: Cerebellar damage is a valuable predictor of disability, particularly in progressive multiple sclerosis. It is not clear if it could be an equally useful predictor of motor disability worsening in the relapsing-remitting phenotype. AIM: We aimed to determine whether cerebellar damage is an equally useful predictor of motor disability worsening in the relapsing-remitting phenotype. METHODS: Cerebellar lesion loads and volumes were estimated using baseline magnetic resonance imaging from the CombiRx trial (n = 838). The relationship between cerebellar damage and time to disability worsening (confirmed disability progression [CDP], timed 25-foot walk test [T25FWT] score worsening, nine-hole peg test [9HPT] score worsening) was tested in stagewise and stepwise Cox proportional hazards models, accounting for demographics and supratentorial damage. RESULTS: Shorter time to 9HPT score worsening was associated with higher baseline Expanded Disability Status Scale (EDSS) score (hazard ratio [HR] 1.408, p = 0.0042) and higher volume of supratentorial and cerebellar T2 lesions (HR 1.005 p = 0.0196 and HR 2.211, p = 0.0002, respectively). Shorter time to T25FWT score worsening was associated with higher baseline EDSS (HR 1.232, p = 0.0006). Shorter time to CDP was associated with older age (HR 1.026, p = 0.0010), lower baseline EDSS score (HR 0.428, p < 0.0001) and higher volume of supratentorial T2 lesions (HR 1.024, p < 0.0001). CONCLUSION: Among the explored outcomes, single time-point evaluation of cerebellar damage only allows the prediction of manual dexterity worsening. In clinical studies the selection of imaging biomarkers should be informed by the outcome of interest.

An integrative study of genetic variants with brain tissue expression identifies viral etiology and potential drug targets of multiple sclerosis.

Multiple sclerosis (MS) is a neuroinflammatory disorder leading to chronic disability. Brain lesions in MS commonly arise in normal-appearing white matter (NAWM). Genome-wide association studies (GWAS) have identified genetic variants associated with MS. Transcriptome alterations have been observed in case-control studies of NAWM. We developed a Cross-Dataset Evaluation (CDE) function for our network-based tool, Edge-Weighted Dense Module Search of GWAS (EW_dmGWAS). We applied CDE to integrate publicly available MS GWAS summary statistics of 41,505 cases and controls with collectively 38 NAWM expression samples, using the human protein interactome as the reference network, to investigate biological underpinnings of MS etiology. We validated the resulting modules with colocalization of GWAS and expression quantitative trait loci (eQTL) signals, using GTEx Consortium expression data for MS-relevant tissues: 14 brain tissues and 4 immune-related tissues. Other network assessments included a drug target query and functional gene set enrichment analysis. CDE prioritized a MS NAWM network containing 55 unique genes. The gene list was enriched (p-value = 2.34 × 10-7) with GWAS-eQTL colocalized genes: CDK4, IFITM3, MAPK1, MAPK3, METTL12B and PIK3R2. The resultant network also included drug signatures of FDA-approved medications. Gene set enrichment analysis revealed the top functional term "intracellular transport of virus", among other viral pathways. We prioritize critical genes from the resultant network: CDK4, IFITM3, MAPK1, MAPK3, METTL12B and PIK3R2. Enriched drug signatures suggest potential drug targets and drug repositioning strategies for MS. Finally, we propose mechanisms of potential MS viral onset, based on prioritized gene set and functional enrichment analysis.

Retrospective Claims Analysis of Treatment Patterns, Relapse, Utilization, and Cost Among Patients with Multiple Sclerosis Initiating Second-Line Disease-Modifying Therapy.

BACKGROUND: Real-world studies of disease-modifying therapies (DMTs) in multiple sclerosis (MS) have reported suboptimal adherence. OBJECTIVE: We aimed to describe treatment patterns, relapses, healthcare resource utilization, and costs in MS patients experiencing their first observed DMT switch. METHODS: In this retrospective, claims database study, adult patients were selected if they had an MS diagnosis and DMT claim during the study period (1 January 2009-31 March 2019). Patients who switched to a new DMT between 1 January 2010 and 31 March 2018 were included. Adherence, persistence, relapses, and all-cause and MS-related healthcare utilization and costs were reported pre- and post-index. RESULTS: In total, 1554 MS patients were identified; the mean age was 46 years and most (74%) were female. The majority of patients switched from an injectable DMT (n = 1116; 71.8%), and patients generally switched to an oral DMT (n = 878; 57%). Among patients who switched DMTs, 46.0% (n = 715) were nonadherent, 42% (n = 645) were nonpersistent, and 21.5% (n = 334) relapsed in the 12 months post-switch. An increase in all-cause and MS-related healthcare costs was observed pre- to post-index for all patients. Cost drivers included outpatient visit costs and pharmacy prescriptions. Compared with patients who switched to an injectable DMT, those who switched to an oral DMT had significantly higher persistence and adherence. No significant difference was observed in post-index relapse or all-cause and MS-related total cost of care. CONCLUSION: Low adherence and poor persistence remain following an initial DMT switch; however, patients who switched to oral DMTs had higher persistence and adherence.

Multiple sclerosis (MS) is a disabling disease that is treated with disease-modifying therapies (DMTs). Little is known about how patients with MS take their medication, how disease progression may change with treatment, or what the impact of switching to a new DMT is on the cost of care. In an analysis of commercially insured individuals, patients with MS were examined before and after switching to a new DMT. Results showed that the patients most often switched from an injectable medication to an oral DMT; however, a large proportion of patients did not take the prescription as directed by their physician. Additionally, a large proportion of patients did not stay on their new therapy. Nearly one-third of patients experienced an MS relapse after they switched to a new treatment, and healthcare costs increased following the treatment switch. A higher proportion of patients switching to an oral DMT took their medication as prescribed by their physicians, stayed on therapy, and incurred smaller increases in cost compared with patients switching to injectable medications. Despite such improvements, additional treatments are needed for patients with MS.

Microglia Activation in Basal Ganglia Is a Late Event in Huntington Disease Pathophysiology.

OBJECTIVE: To define the role played by microglia in different stages of Huntington disease (HD), we used the TSPO radioligand [11C]-ER176 and PET to evaluate microglial activation in relation to neurodegeneration and in relation to the clinical features seen at premanifest and manifest stages of the disease. METHODS: This is a cross-sectional study in which 18 subjects (6 controls, 6 premanifest, and 6 manifest HD gene carriers) underwent a [11C]-ER176 PET scan and an MRI for anatomic localization. Segmentation of regions of interest (ROIs) was performed, and group differences in [11C]-ER176 binding (used to evaluate the extent of microglial activation) were assessed by the standardized uptake value ratio (SUVR). Microglial activation was correlated with ROIs volumes, disease burden, and the scores obtained in the clinical scales. As an exploratory aim, we evaluated the dynamic functions of microglia in vitro, by using induced microglia-like (iMG) cells from peripheral blood monocytes. RESULTS: Individuals with manifest HD present higher [11C]-ER176 SUVR in both globi pallidi and putamina in comparison with controls. No differences were observed when we compared premanifest HD with controls or with manifest HD. We also found a significant correlation between increased microglial activation and cumulative disease burden, and with reduced volumes. iMG from controls, premanifest HD, and manifest HD patients showed similar phagocytic capacity. CONCLUSIONS: Altogether, our data demonstrate that microglial activation is involved in HD pathophysiology and is associated with disease progression.

Evaluating Treatment Patterns, Relapses, Healthcare Resource Utilization, and Costs Associated with Disease-Modifying Treatments for Multiple Sclerosis in DMT-Naïve Patients.

PURPOSE: Early diagnosis and treatment of multiple sclerosis (MS) with disease-modifying therapy (DMT) can reduce relapse number and severity, which has cost implications. We describe treatment patterns, healthcare utilization, and cost among MS patients newly initiating DMTs (index). PATIENTS AND METHODS: DMT-naïve adults with 12 months' continuous enrollment pre- and post-index and ≥2 MS claims (2009‒2018) were identified from the Optum Clinformatics Data Mart database. Treatment adherence and persistence were measured as time on index DMT. Relapses were identified using a validated claims-based algorithm. All-cause and MS-related healthcare expenditures and utilization were captured pre- and post-index. Outcomes were stratified by route of administration. Multivariate analyses assessed differences in outcomes and costs. RESULTS: The analysis included 5906 MS patients (mean age, 46.6 years). The majority initiated injectable (63.5%) followed by oral (28.8%) and infusion (7.7%) DMTs. Post-index, 45.3% of patients were nonadherent and 39.4% were nonpersistent. Relapse rates decreased from pre- to post-index (oral: 24.3%‒16.1%; injectable: 25.0%‒17.1%; infusion: 29.3%‒15.5%). Post-index mean (SD) all-cause total costs were lowest with oral ($70,970 [$36,681]) vs injectable ($82,521 [$58,569]) and infusion ($80,871 [$49,627]) DMTs. MS-related total costs were lowest with oral ($65,149 [$65,133]) vs injectable ($76,197 [$60,204]) and infusion ($72,703 [$47,287]) DMTs. Multivariate analysis showed no differences between oral and injectable DMTs in adherence, persistence, or relapse rate; however, oral DMTs had significantly lower all-cause and MS-related costs. CONCLUSION: With similar outcomes across DMT administration routes, initiating the least costly DMT may be warranted for many patients. In newly treated MS patients, the need exists to improve adherence and persistence.

Dense module searching for gene networks associated with multiple sclerosis.

BACKGROUND: Multiple sclerosis (MS) is a complex disease in which the immune system attacks the central nervous system. The molecular mechanisms contributing to the etiology of MS remain poorly understood. Genome-wide association studies (GWAS) of MS have identified a small number of genetic loci significant at the genome level, but they are mainly non-coding variants. Network-assisted analysis may help better interpret the functional roles of the variants with association signals and potential translational medicine application. The Dense Module Searching of GWAS tool (dmGWAS version 2.4) developed in our team is applied to 2 MS GWAS datasets (GeneMSA and IMSGC GWAS) using the human protein interactome as the reference network. A dual evaluation strategy is used to generate results with reproducibility. RESULTS: Approximately 7500 significant network modules were identified for each independent GWAS dataset, and 20 significant modules were identified from the dual evaluation. The top modules included GRB2, HDAC1, JAK2, MAPK1, and STAT3 as central genes. Top module genes were enriched with functional terms such as "regulation of glial cell differentiation" (adjusted p-value = 2.58 × 10- 3), "T-cell costimulation" (adjusted p-value = 2.11 × 10- 6) and "virus receptor activity" (adjusted p-value = 1.67 × 10- 3). Interestingly, top gene networks included several MS FDA approved drug target genes HDAC1, IL2RA, KEAP1, and RELA, CONCLUSIONS: Our dmGWAS network analyses highlighted several genes (GRB2, HDAC1, IL2RA, JAK2, KEAP1, MAPK1, RELA and STAT3) in top modules that are promising to interpret GWAS signals and link to MS drug targets. The genes enriched with glial cell differentiation are important for understanding neurodegenerative processes in MS and for remyelination therapy investigation. Importantly, our identified genetic signals enriched in T cell costimulation and viral receptor activity supported the viral infection onset hypothesis for MS.

Imaging outcome measures of neuroprotection and repair in MS: A consensus statement from NAIMS.

OBJECTIVE: To summarize current and emerging imaging techniques that can be used to assess neuroprotection and repair in multiple sclerosis (MS), and to provide a consensus opinion on the potential utility of each technique in clinical trial settings. METHODS: Clinicians and scientists with expertise in the use of MRI in MS convened in Toronto, Canada, in November 2016 at a North American Imaging in Multiple Sclerosis (NAIMS) Cooperative workshop meeting. The discussion was compiled into a manuscript and circulated to all NAIMS members in attendance. Edits and feedback were incorporated until all authors were in agreement. RESULTS: A wide spectrum of imaging techniques and analysis methods in the context of specific study designs were discussed, with a focus on the utility and limitations of applying each technique to assess neuroprotection and repair. Techniques were discussed under specific themes, and included conventional imaging, magnetization transfer ratio, diffusion tensor imaging, susceptibility-weighted imaging, imaging cortical lesions, magnetic resonance spectroscopy, PET, advanced diffusion imaging, sodium imaging, multimodal techniques, imaging of special regions, statistical considerations, and study design. CONCLUSIONS: Imaging biomarkers of neuroprotection and repair are an unmet need in MS. There are a number of promising techniques with different strengths and limitations, and selection of a specific technique will depend on a number of factors, notably the question the trial seeks to answer. Ongoing collaborative efforts will enable further refinement and improved methods to image the effect of novel therapeutic agents that exert benefit in MS predominately through neuroprotective and reparative mechanisms.