Multiple Sclerosis Disease Severity Research Articles

Investigating cortical hypoxia in multiple sclerosis via time-domain near-infrared spectroscopy.

Hypoperfusion and tissue hypoxia have been implicated as contributory mechanisms in the neuropathology of multiple sclerosis (MS). Our objective has been to study cortical oxygenation in vivo in patients with MS and age-matched controls. A custom, multiwavelength time-domain near-infrared spectroscopy system was developed for assessing tissue hypoxia from the prefrontal cortex. A cross-sectional case-control study was undertaken assessing patients with secondary progressive MS (SPMS) and age-matched controls. Co-registered magnetic resonance imaging was used to verify the location from which near-infrared spectroscopy data were obtained through Monte Carlo simulations of photon propagation. Additional clinical assessments of MS disease severity were carried out by trained neurologists. Linear mixed effect models were used to compare cortical oxygenation between cases and controls, and against measures of MS severity. Thirty-three patients with secondary progressive MS (median expanded disability status scale 6 [IQR: 5-6.5]; median age 53.0 [IQR: 49-58]) and 20 age-matched controls were recruited. Modeling of photon propagation confirmed spectroscopy data were obtained from the prefrontal cortex. Patients with SPMS had significantly lower cortical hemoglobin oxygenation compared with controls (-6.0% [95% CI: -10.0 to -1.9], P = 0.004). There were no significant associations between cortical oxygenation and MS severity. Using an advanced, multiwavelength time-domain near-infrared spectroscopy system, we demonstrate that patients with SPMS have lower cortical oxygenation compared with controls.

Complement Activation Is Associated With Disease Severity in Multiple Sclerosis.

Histopathologic studies have identified immunoglobulin (Ig) deposition and complement activation as contributors of CNS tissue damage in multiple sclerosis (MS). Intrathecal IgM synthesis is associated with higher MS disease activity and severity, and IgM is the strongest complement-activating immunoglobulin. In this study, we investigated whether complement components (CCs) and complement activation products (CAPs) are increased in persons with MS, especially in those with an intrathecal IgM synthesis, and whether they are associated with disease severity and progression. CC and CAP levels were quantified in plasma and CSF of 112 patients with clinically isolated syndrome (CIS), 127 patients with MS (90 relapsing-remitting, 14 primary progressive, and 23 secondary progressive), 31 inflammatory neurologic disease, and 44 symptomatic controls from the Basel CSF databank study. Patients with CIS/MS were followed in the Swiss MS cohort study (median 6.3 years). Levels of CC/CAP between diagnosis groups were compared; in CIS/MS, associations of CC/CAP levels with intrathecal Ig synthesis, baseline Expanded Disability Status Scale (EDSS) scores, MS Severity Score (MSSS), and neurofilament light chain (NfL) levels were investigated by linear regression, adjusted for age, sex, and albumin quotient. CSF (but not plasma) levels of C3a, C4a, Ba, and Bb were increased in patients with CIS/MS, being most pronounced in those with an additional intrathecal IgM production. In CIS, doubling of C3a and C4a in CSF was associated with 0.31 (CI 0.06-0.56; p = 0.016) and 0.32 (0.02-0.62; p = 0.041) increased EDSS scores at lumbar puncture. Similarly, doubling of C3a and Ba in CIS/MS was associated with 0.61 (0.19-1.03; p < 0.01) and 0.74 (0.18-1.31; p = 0.016) increased future MSSS. In CIS/MS, CSF levels of C3a, C4a, Ba, and Bb were associated with increased CSF NfL levels, e.g., doubling of C3a was associated with an increase of 58% (Est. 1.58; CI 1.37-1.81; p < 0.0001). CNS-compartmentalized activation of the classical and alternative pathways of complement is increased in CIS/MS and associated with the presence of an intrathecal IgM production. Increased complement activation within the CSF correlates with EDSS, future MSSS, and NfL levels, supporting the concept that complement activation contributes to MS pathology and disease progression. Complement inhibition should be explored as therapeutic target to attenuate disease severity and progression in MS.

Predicting disease severity in multiple sclerosis using multimodal data and machine learning.

Multiple sclerosis patients would benefit from machine learning algorithms that integrates clinical, imaging and multimodal biomarkers to define the risk of disease activity. We have analysed a prospective multi-centric cohort of 322 MS patients and 98 healthy controls from four MS centres, collecting disability scales at baseline and 2years later. Imaging data included brain MRI and optical coherence tomography, and omics included genotyping, cytomics and phosphoproteomic data from peripheral blood mononuclear cells. Predictors of clinical outcomes were searched using Random Forest algorithms. Assessment of the algorithm performance was conducted in an independent prospective cohort of 271 MS patients from a single centre. We found algorithms for predicting confirmed disability accumulation for the different scales, no evidence of disease activity (NEDA), onset of immunotherapy and the escalation from low- to high-efficacy therapy with intermediate to high-accuracy. This accuracy was achieved for most of the predictors using clinical data alone or in combination with imaging data. Still, in some cases, the addition of omics data slightly increased algorithm performance. Accuracies were comparable in both cohorts. Combining clinical, imaging and omics data with machine learning helps identify MS patients at risk of disability worsening.

Podcast on Identifying and Understanding Barriers to Care in Underserved Populations With MS in the United States.

Multiple sclerosis (MS) can affect people from all racial and ethnic backgrounds, but, historically, the incidence of MS in the United States was thought to be highest in White individuals. More recent data suggest that the incidence of MS in Black or African American individuals is comparable to that in White individuals. In Hispanic or Latino individuals, incidence of MS is lower, but age of onset may be earlier compared with White individuals. Additionally, there are important differences in MS disease severity, disease progression, and mortality in Black or African American and Hispanic or Latino populations. Compared with their White counterparts, individuals from these underrepresented groups are more likely to be affected by MS in specific areas of the nervous system, such as accelerated loss of retinal and brain tissue in Black or African American individuals and optic neuritis in Hispanic individuals. Additionally, Black or African American individuals with MS tend to have an aggressive disease course, earlier disability, and higher risk of requiring ambulatory assistance. Although these differences may be attributed to genetic factors, systemic racism and biases and barriers to accessing care may perpetuate health disparities. Moreover, non-White communities remain broadly underrepresented in clinical trials; however, it is vital that these populations are appropriately represented so that any potential differences in drug efficacy or safety implications are detected. Thus, it is important to increase awareness of MS in these populations. In this podcast, the authors discuss characteristics of MS in Black or African American and Hispanic or Latino populations, identify barriers to care, and propose solutions to improve access to MS care in these populations. MP4 (358385 KB).

Predicting multiple sclerosis severity with multimodal deep neural networks

Multiple Sclerosis (MS) is a chronic disease developed in the human brain and spinal cord, which can cause permanent damage or deterioration of the nerves. The severity of MS disease is monitored by the Expanded Disability Status Scale, composed of several functional sub-scores. Early and accurate classification of MS disease severity is critical for slowing down or preventing disease progression via applying early therapeutic intervention strategies. Recent advances in deep learning and the wide use of Electronic Health Records (EHR) create opportunities to apply data-driven and predictive modeling tools for this goal. Previous studies focusing on using single-modal machine learning and deep learning algorithms were limited in terms of prediction accuracy due to data insufficiency or model simplicity. In this paper, we proposed the idea of using patients’ multimodal longitudinal and longitudinal EHR data to predict multiple sclerosis disease severity in the future. Our contribution has two main facets. First, we describe a pioneering effort to integrate structured EHR data, neuroimaging data and clinical notes to build a multi-modal deep learning framework to predict patient’s MS severity. The proposed pipeline demonstrates up to 19% increase in terms of the area under the Area Under the Receiver Operating Characteristic curve (AUROC) compared to models using single-modal data. Second, the study also provides valuable insights regarding the amount useful signal embedded in each data modality with respect to MS disease prediction, which may improve data collection processes.

Socioeconomic, health-care access and clinical determinants of disease severity in Multiple Sclerosis in Chile.

MS severity may be affected by genetic, patient-related, disease-related and environmental factors. Socioeconomic status, including income and healthcare access, amongst others, may also have a role in affecting diagnostic delay or therapy prescription. In Chile, two main healthcare systems exist, public-healthcare and private-healthcare, nonetheless universal care laws (e.g., access to High Efficacy Therapy-HET), including both systems, have been recently enacted for people with MS. To assess the role of Socioeconomic Conditions (SEC), clinical variables and public health policies on the impact of disease severity of MS patients in Chile. Multicentric, observational, cross-sectional study including patients from two reference centres (1 national reference centre from the private-health system and 1 regional reference centre from the public-health system). SEC and clinical variables included healthcare insurance (private or public), subclassification of health insurance according to monthly income, sex, age at onset, diagnostic delay, disease duration, diagnosis before HET law (as a proxy of HET delay), and current HET treatment. Progression Index (PI), EDSS ≥6.0 and Progressive MS diagnosis were used as outcome measures. Multivariable binary logistic regression was performed. We included 604 patients (460 private-health, 144 public-health), 67% women, 100% white/mestizo, 88% RRMS, mean age 42±12 years, mean age at onset 32±11 years, mean disease duration 10±6 years, median diagnostic delay 0 (0-34) years, 86% currently receiving any DMT, 55% currently receiving HET, median EDSS at last visit of 2.0 (0-10), and median PI 0.17 (0-4.5). Lower monthly income was associated with higher EDSS and higher PI. In the multivariable analysis, public-healthcare (OR 10.2), being diagnosed before HET-law (OR 4.89), longer diagnostic delay (OR 1.26), and older age at onset (OR 1.05) were associated with a higher risk of PI>0.2, while current HET (OR 0.39) was a protective factor. Diagnosis before HET-law (OR 7.59), public-healthcare (OR 6.49), male sex (OR 2.56), longer disease duration (OR 1.2) and older age at onset (OR 1.1) were associated with a higher risk of Progressive MS. Public-healthcare (OR 5.54), longer disease duration (OR 1.14) and older age at onset (OR 1.08) were associated with a higher risk of EDSS ≥6.0 while current treatment with HET had a trend as being a protective factor (OR 0.44, p=0.05). MS severity is impacted by non-modifiable factors such as sex and age at onset. Interventions focused on shortening diagnostic delay and encouraging early access to high-efficacy therapies, as well as initiatives that may reduce the disparities inherent to lower socioeconomic status, may improve outcomes in people with MS.

Regulation of the PD-1/PD-L1 axis in relapsing-remitting Multiple Sclerosis (P2-3.001)

<h3>Objective:</h3> The PD-1/PD-L1 (programmed cell death protein 1/programmed cell death ligand 1) axis plays an important role in the adaptive immune system and has influence on neoplastic and inflammatory diseases. The role of the PD-1/PD-L1 axis in multiple sclerosis (MS) has not yet been investigated in detail. We aimed to delineate distinct expression patterns in peripheral blood mononuclear cell (PBMC) subsets and to evaluate the role of soluble PD-1/PD-L1 in the context of MS. <h3>Background:</h3> PD-L1/PD-1 also exist in soluble forms (sPD-L1/sPD-1) shedded from cellular surfaces. In systemic autoimmune diseases, sPD-1/sPD-L1 serum levels and membrane-bound PD-1/PD-L1 on T and antigen-presenting cells are linked to disease activity and treatment response. In MS, the PD-1/PD-L1 axis and in particular the role of soluble PD-1/PD-L1 is poorly understood but may offer relevance as disease marker and potential target for therapeutic intervention. <h3>Design/Methods:</h3> In depth immunophenotyping by flow cytometry was performed on PBMCs of 49 patients with relapsing-remitting MS (RRMS) and 27 controls. sPD-1/sPD-L1 serum levels were analyzed in a cohort of 84 patients with RRMS and 36 controls. To evaluate the therapeutic potential of soluble PD-L1, 600 μg/kg recombinant protein was systemically administered in Experimental Autoimmune Encephalomyelitis (EAE), an animal model of MS. <h3>Results:</h3> Patients with RRMS displayed distinct cellular PD-1/PD-L1 expression patterns in PBMCs and an association of sPD-L1 with MS subtype and disease severity. Systemic administration of recombinant PD-L1 in EAE resulted in ameliorated disease severity and reduced infiltration of peripheral immune cells into the CNS. <h3>Conclusions:</h3> The marked expression of PD-1/PD-L1 in immune cell subsets of patients with RRMS, and the correlation of sPD-L1 with disease-severity offers promising potential for the use as a serum marker in the context of MS. Furthermore, enhancement of coregulatory PD-1/PD-L1 signaling by exogenous supplementation of sPD-L1 may serve as a novel therapeutic strategy for severe stages of acute neuroinflammation. <b>Disclosure:</b> Dr. Tsaktanis has nothing to disclose. Mr. Linnerbauer has nothing to disclose. Mrs. Loesslein has nothing to disclose. Prof. Hemmer has received personal compensation in the range of $0-$499 for serving as a Consultant for Vaccitech. Prof. Hemmer has received personal compensation in the range of $500-$4,999 for serving on a Scientific Advisory or Data Safety Monitoring board for Novartis. Prof. Hemmer has received personal compensation in the range of $500-$4,999 for serving on a Scientific Advisory or Data Safety Monitoring board for Polpharma. Prof. Hemmer has received personal compensation in the range of $500-$4,999 for serving on a Scientific Advisory or Data Safety Monitoring board for TG Therapeutics. Prof. Hemmer has received personal compensation in the range of $0-$499 for serving on a Scientific Advisory or Data Safety Monitoring board for Allergy Care. The institution of Prof. Hemmer has received research support from Regeneron. The institution of Prof. Hemmer has received research support from German Research Foundation. The institution of Prof. Hemmer has received research support from German Ministry for Education and Research. The institution of Prof. Hemmer has received research support from European Commission. Prof. Hemmer has received intellectual property interests from a discovery or technology relating to health care. Prof. Hemmer has received intellectual property interests from a discovery or technology relating to health care. Mark Mühlau has nothing to disclose. Dr. Quintana has nothing to disclose. Prof. Rothhammer has received personal compensation in the range of $500-$4,999 for serving on a Scientific Advisory or Data Safety Monitoring board for Novartis. Prof. Rothhammer has received personal compensation in the range of $500-$4,999 for serving on a Scientific Advisory or Data Safety Monitoring board for Merck. The institution of Prof. Rothhammer has received research support from German Research Foundation. The institution of Prof. Rothhammer has received research support from European Research Council.

Impact of Delayed Diagnosis on Zambians Living With Multiple Sclerosis (P4-8.009)

<h3>Objective:</h3> To describe the impact of delayed diagnosis of multiple sclerosis (MS) on Zambians living with MS in Zambia. <h3>Background:</h3> MS is considered rare in African countries such as Zambia leading to significant underdiagnosis in the country. However, recent efforts in the country have shown occurrence among Zambians, with long delays in diagnosis being observed. The impact of this delayed diagnosis on Zambians living with MS remains uninvestigated. <h3>Design/Methods:</h3> One-on-one interviews were conducted with patients that have been diagnosed with MS between 2018 and 2022 by neurologists in Lusaka, Zambia. Prior work showed that these patients had long delays in their MS diagnosis. Interviews were transcribed verbatim and data from the transcripts were categorized by themes of patients’ pre- and post-diagnosis experiences to establish the effects of the delayed diagnosis. <h3>Results:</h3> The delayed diagnosis of MS impacted patients in many ways. These included (1) significant disability at diagnosis; (2) depression and frustration from living with undiagnosed symptoms; (3) loss of employment or income resulting from inability to work due to significant disability; (4) incurring of large costs due to multiple clinical encounters both locally and internationally, often requiring medical tests that were paid for out-of-pocket; (5) loss of confidence in services provided by medical health workers in Zambia, even after MS diagnosis (6) lack of clarity in understanding MS disease severity and the role of neurologists post-diagnosis, often leading to poor compliance to treatment; and (7) significant strain on patients’ families and loved ones. <h3>Conclusions:</h3> Delayed diagnosis of MS negatively impacts the lives of people living with MS in Zambia and leads to low quality of life and significant disability. Efforts to improve early recognition of MS in Zambia are an important element in improving the care of people living with MS in Zambia. <b>Disclosure:</b> Dr. Chomba has nothing to disclose. Dr. Mortel has nothing to disclose. The institution of Dr. Saylor has received research support from National Institutes of Health. The institution of Dr. Saylor has received research support from National Multiple Sclerosis Society. The institution of Dr. Saylor has received research support from American Academy of Neurology. The institution of Dr. Saylor has received research support from United States Department of State. Dr. Saylor has a non-compensated relationship as a Member of multiple committees and task forces focused on improving access to MS medications to people across the world with Multiple Sclerosis International Federation that is relevant to AAN interests or activities. Dr. Saylor has a non-compensated relationship as a Member of the Neurology and COVID19 committee with World Health Organization that is relevant to AAN interests or activities. Dr. Saylor has a non-compensated relationship as a Member of the International Outreach Committee, Junior and Early Career Membership Committee, and Educational Innovation Commitees with American Neurological Association that is relevant to AAN interests or activities.

The Clinical and Economic Impact of Employees Who Are Care Partners of Patients with Multiple Sclerosis by Disease Severity

Background: Research on employee care partners of patients with multiple sclerosis (MS) is limited. Objectives: The clinical and economic impact on employee care partners was evaluated by MS disease severity. Methods: Employees with spouses/domestic partners with MS from the Workpartners database (Jan. 1, 2010–Dec. 31, 2019) were eligible if: spouse/partner had at least 3 MS-related (ICD-9-CM/ICD-10-CM:340.xx/G35) inpatient/outpatient/disease-modifying therapy claims within 1 year (latest claim = index date); 6-month pre-index/1-year post-index enrollment; and age 18 to 64 years. Employee care partners’ demographic/clinical characteristics and direct/indirect costs were compared across predetermined MS severity categories. Logistic and generalized linear regression modeled the costs. Results: Among 1041 employee care partners of patients with MS, 358 (34.4%) patients had mild MS, 491 (47.2%) moderate, and 192 (18.4%) severe. Mean (standard error [SE]) employee care partner age was 49.0 (0.5) for patients with mild disease, 50.5 (0.4) for moderate, 51.7 (0.6) for severe; percent female care partners was 24.6% [2.3%] mild, 19.8% [1.8%] moderate, 27.6% [3.2%] severe; and mean care partner Charlson Comorbidity Index scores 0.28 (0.05) mild, 0.30 (0.04) moderate, 0.27 (0.06) severe. More care partners of patients with moderate/severe vs mild MS had hyperlipidemia (32.6%/31.8% vs 21.2%), hypertension (29.5%/29.7% vs 19.3%), gastrointestinal disease (20.8%/22.9% vs 13.1%), depression (9.2%/10.9% vs 3.9%), and anxiety 10.6%/8.9% vs 4.2%). Adjusted mean medical costs were greater for employee care partners of patients with moderate vs mild/severe disease (P&lt;.001). Pharmacy costs (SE) were lower for employee care partners of mild vs severe/moderate patients (P&lt;.005). Sick leave costs (SE) were greater for employee care partners of mild/severe vs moderate patients (P&lt;.05). Discussion: Employee care partners of patients with moderate/severe vs mild MS had more comorbidities (ie, hypertension, gastrointestinal disease, depression, and anxiety) and higher pharmacy costs. Employee care partners of patients with moderate vs mild/severe MS had higher medical and lower sick leave costs. Treatment strategies that improve patient outcomes may reduce employee care partner burden and lower costs for employers in some instances. Conclusions: Comorbidities and direct/indirect costs of employees whose spouses/partners have MS were considerable and varied with MS severity.

The Clinical and Economic Impact of Employees Who Are Care Partners of Patients with Multiple Sclerosis by Disease Severity.

Background: Research on employee care partners of patients with multiple sclerosis (MS) is limited. Objectives: The clinical and economic impact on employee care partners was evaluated by MS disease severity. Methods: Employees with spouses/domestic partners with MS from the Workpartners database (Jan.1, 2010-Dec.31, 2019) were eligible if: spouse/partner had at least 3 MS-related (ICD-9-CM/ICD-10-CM:340.xx/G35) inpatient/outpatient/disease-modifying therapy claims within 1 year (latest claim = index date); 6-month pre-index/1-year post-index enrollment; and age 18 to 64 years. Employee care partners' demographic/clinical characteristics and direct/indirect costs were compared across predetermined MS severity categories. Logistic and generalized linear regression modeled the costs. Results: Among 1041 employee care partners of patients with MS, 358 (34.4%) patients had mild MS, 491 (47.2%) moderate, and 192 (18.4%) severe. Mean (standard error [SE]) employee care partner age was 49.0 (0.5) for patients with mild disease, 50.5 (0.4) for moderate, 51.7 (0.6) for severe; percent female care partners was 24.6% [2.3%] mild, 19.8% [1.8%] moderate, 27.6% [3.2%] severe; and mean care partner Charlson Comorbidity Index scores 0.28 (0.05) mild, 0.30 (0.04) moderate, 0.27 (0.06) severe. More care partners of patients with moderate/severe vs mild MS had hyperlipidemia (32.6%/31.8% vs 21.2%), hypertension (29.5%/29.7% vs 19.3%), gastrointestinal disease (20.8%/22.9% vs 13.1%), depression (9.2%/10.9% vs 3.9%), and anxiety 10.6%/8.9% vs 4.2%). Adjusted mean medical costs were greater for employee care partners of patients with moderate vs mild/severe disease (P<.001). Pharmacy costs (SE) were lower for employee care partners of mild vs severe/moderate patients (P<.005). Sick leave costs (SE) were greater for employee care partners of mild/severe vs moderate patients (P<.05). Discussion: Employee care partners of patients with moderate/severe vs mild MS had more comorbidities (ie, hypertension, gastrointestinal disease, depression, and anxiety) and higher pharmacy costs. Employee care partners of patients with moderate vs mild/severe MS had higher medical and lower sick leave costs. Treatment strategies that improve patient outcomes may reduce employee care partner burden and lower costs for employers in some instances. Conclusions: Comorbidities and direct/indirect costs of employees whose spouses/partners have MS were considerable and varied with MS severity.

Adipokines in multiple sclerosis patients are related to clinical and radiological measures

BackgroundAn imbalance of adipokines, hormones secreted by white adipose tissue, is suggested to play a role in the immunopathology of multiple sclerosis (MS). In people with MS (PwMS) of the same age, we aimed to determine whether the adipokines adiponectin, leptin, and resistin are associated with MS disease severity. Furthermore, we aimed to investigate whether these adipokines mediate the association between body mass index (BMI) and MS disease severity.MethodsAdiponectin, resistin, and leptin were determined in serum using ELISA. 288 PwMS and 125 healthy controls (HC) were included from the Project Y cohort, a population-based cross-sectional study of people with MS born in the Netherlands in 1966, and age and sex-matched HC. Adipokine levels and BMI were related to demographic, clinical and disability measures, and MRI-based brain volumes.ResultsAdiponectin levels were 1.2 fold higher in PwMS vs. HC, especially in secondary progressive MS. Furthermore, we found a sex-specific increase in adiponectin levels in primary progressive (PP) male patients compared to male controls. Leptin and resistin levels did not differ between PwMS and HC, however, leptin levels were associated with higher disability (EDSS) and resistin strongly related to brain volumes in progressive patients, especially in several grey matter regions in PPMS. Importantly, correction for BMI did not significantly change the results.ConclusionIn PwMS of the same age, we found associations between adipokines (adiponectin, leptin, and resistin) and a range of clinical and radiological metrics. These associations were independent of BMI, indicating distinct mechanisms.

Two Single Nucleotide Polymorphisms in the Purinergic Receptor P2X7 Gene Are Associated with Disease Severity in Multiple Sclerosis.

Multiple sclerosis (MS) is a chronic autoimmune inflammatory disease of the central nervous system (CNS) that leads to progressive physical disability. Recent evidence has suggested that P2X7 receptor (P2X7R)-mediated purinergic signalling pathways play a role in MS-associated neuroinflammation, possibly contributing to disease pathogenesis. To evaluate possible associations between P2X7R polymorphisms and MS disease severity, we performed an association study of five non-synonymous SNPs coding variants of the P2X7R gene: rs1718119 Ala348Thr, rs2230911 Thr357Ser, rs2230912 Gln460Arg, rs3751143 Glu496Ala, and rs28360457 Arg307Gln, modulating P2X7R expression in 128 MS patients (relapsing remitting MS, RRMS: n = 94; secondary progressive, SPMS: n = 34). All patients were genotyped, and multiple sclerosis severity score (MSSS) was evaluated in every case; 189 healthy subjects were enrolled as well as controls. Results showed that P2X7R rs1718119(A) 348Thr and rs22390912(G) 464Arg, two SNPs of minor allele frequency (MAF) known to confer gain of function to the P2X7R protein, were associated with significantly higher MSSS in RRMS patients alone (SMRR (p < 0.001, p = 0.01, respectively)). Interestingly, two whole haplotypes resulted in having significant association with MSSS in these same patients. Thus: (1) the P2X7R-4 “ACGAG” haplotype, characterized by the co-presence of the rs1718119-rs2230912 AG MAF alleles, was associated with higher MSSS (Beta: 1.11 p = 0.04), and (2) the P2X7R-1 “GCAAG” complementary haplotype, which contains the rs1718119 and rs2230912 GA wild-type alleles, was more frequently carried by patients with lower MSSS and less severe disease (Beta: −1.54 p < 0.001). Although being preliminary and needing confirmation in an ampler cohort, these results suggest that 348Thr and 464Arg variants have a role as modulators of disease severity in RRMS patients.

Whole-blood methylation signatures are associated with and accurately classify multiple sclerosis disease severity

BackgroundThe 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.MethodsWe 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.ResultsFemales 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.ConclusionRMS 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.

Lower cerebral arterial blood flow is associated with greater serum neurofilament light chain levels in multiple sclerosis patients

Background: Hypoperfusion, vascular pathology, and cardiovascular risk factors are associated with disease severity in multiple sclerosis (MS).1,2 In particular, the total cerebral arterial blood flow (CABF), measured as a sum of all arterial flow in the neck, was associated with the cognitive performance of MS patients.3&#x0D; Objective: To assess relationships between CABF and serum neurofilament light chain (sNfL), as neuronal damage biomarker with good prognostic value and treatment responsiveness.4 If the cerebrovascular changes are an independent pathophysiological factor in MS, a relationship should remain significant after controlling for common MS-based disease measures (i.e., T2 lesion volume and brain volume).&#x0D; Materials and methods: Total CABF was measured in 137 patients (86 clinically isolated syndrome (CIS)/relapsing-remitting (RR) and 51 progressive MS (PMS)) and 48 healthy controls (HCs) using Doppler ultrasound. sNfL was quantitated using a single molecule assay (Simoa). Three point zero T magnetic resonance imaging (MRI) examination allowed quantification of T2 lesion and whole-brain volume (WBV). Multiple linear regression models determined the sNfL associated with CABF after correction for demographic and MRI-derived variables.&#x0D; Results: After adjustment for age, sex and body mass index (BMI), total CABF remained statistically significant and model comparisons showed that CABF explained additional 2.6% of the sNfL variance (β=-0.167, p=0.044). (Table 1) CABF also remained significant in a step-wise regression model (β=0.18, p=0.034) upon the inclusion of T2 lesion burden and WBV effects. The explained sNfL variance improved from 17.4%, 22.7% with the presence of at least 2 CVD variable and 25.8% with both CVD and CABF predictors. Lastly, the disease-modifying therapy was not kept in the final model as an independent predictor of sNfL. Patients in the lowest CABF quartile (CABF≤761 mL/min) had significantly higher sNfL (34.6 pg/mL versus 23.9 pg/mL, adjusted-p=0.042) when compared to the highest quartile (CABF≥1130 mL/min).&#x0D; Conclusions: Lower CABF is associated with increased sNfL in MS patients, highlighting direct and independent relationship between cerebral hypoperfusion and axonal pathology. This relationship remained significant in the CIS/RRMS after adjusting for age, sex, and BMI effects.

The Sexual Dimorphism in Cerebrospinal Fluid Protein Content Does Not Affect Intrathecal IgG Synthesis in Multiple Sclerosis.

(1) Background: Multiple sclerosis (MS) is a chronic inflammatory demyelinating disease of the central nervous system (CNS) that mainly affects young adults and females more than males. The detection of intrathecal IgG synthesis (IIS) on cerebrospinal fluid (CSF) analysis supports the diagnosis of MS. A sexual dimorphism has recently been described in CSF protein content. (2) Methods: Clinical and laboratory data from 340 MS patients (F = 231, M = 99) and 89 people with clinically isolated syndrome (CIS) (F = 57, M = 32) were retrospectively analyzed to assess the presence of variables affected by sex and age. (3) Results: In MS, the albumin quotient (QAlb), reflecting the blood–CSF barrier (BCSFB) function, was higher in males (5.6 vs. 4.34) and correlated to age with a constant difference between sexes (F = 41.71). In CIS patients, QAlb increased with age only in males (r = 0.3567). Age was positively correlated to disease duration and severity in MS (r = 0.3502, r = 0.2986, respectively). No differences emerged for quantitative and qualitative IIS determinations. (4) Discussion: Although the main difference between males and females concerns the function of BCSFB assessed by QAlb, this sexual dimorphism does not affect the determination of the IIS evaluated both by quantitative and qualitative methods.

Lower cerebral arterial blood flow is associated with greater serum neurofilament light chain levels in multiple sclerosis patients.

Hypoperfusion, vascular pathology, and cardiovascular risk factors are associated with disease severity in multiple sclerosis (MS). We aimed to assess relationships between cerebral arterial blood flow (CABF) and serum neurofilament light chain (sNfL) as neuronal damage biomarkers. Total CABF was measured in 137 patients (86 with clinically isolated syndrome/relapsing-remitting (RR) MS and 51 with progressive MS [PMS]) and 48 healthy controls using Doppler ultrasonography. sNfL was quantitated using a single-molecule assay (Simoa). Examination using 3.0-T magnetic resonance imaging (MRI) allowed quantification of T2 lesions and whole-brain volume (WBV). Multiple linear regression models determined the sNfL association with CABF after correction for demographic and MRI-derived variables. After adjustment for age, sex and body mass index (BMI), total CABF remained statistically significant and model comparisons showed that CABF explained an additional 2.6% of the sNfL variance (β=-0.167, p=0.044). CABF also remained significant in a stepwise regression model (β=0.18, p=0.034) upon the inclusion of T2 lesion burden and WBV effects. Patients in the lowest CABF quartile (CABF≤761ml/min) had significantly higher sNfL levels (34.6 vs. 23.9pg/ml, age and BMI-adjusted-p=0.042) when compared to the highest quartile (CABF≥1130ml/min). Lower CABF is associated with increased sNfL in MS patients, highlighting the relationship between cerebral hypoperfusion and axonal pathology.

The possible involvement of sema3A and sema4A in the pathogenesis of multiple sclerosis

BackgroundImmune semaphorins are widely accepted to have functional impact on autoimmune diseases. ObjectivesTo assess the status of sema3A and sema4A in the pathogenesis of Multiple Sclerosis (MS). ResultsSema3A expression on (T regulatory cells)Tregs was decreased in MS patients, compared to healthy controls (35.85 ± 16.7% vs 88.27 ± 3.8%; p ≤ 0.001). Serum levels of sema3A were decreased in MS patients 2.95 ± 0.43 vs 18.67 ± 5.7 ng/ml in healthy individuals; p ≤ 0.001. Sema4A serum levels were increased in MS patients compared to healthy individuals (12.99 ± 8.6 vs 5.83 ± 3.91 ng/ml; p ≤ 0.001). Sema3A and sema4A serum levels were found to be in negative/positive correlation with MS disease severity (rs = 0.62, rs = −0.49, respectively). ConclusionWe show that sema3A is a regulatory molecule in MS, whereas sema4A is a stimulatory one. Targeting sema3A and sema4A could become a potential therapeutic approach in MS.

Central stress processing, T-cell responsivity to stress hormones and disease severity in multiple sclerosis.

Epidemiological, clinical and neuroscientific studies support a link between psychobiological stress and multiple sclerosis. Neuroimaging suggests that blunted central stress processing goes along with higher multiple sclerosis severity, neuroendocrine studies suggest that blunted immune system sensitivity to stress hormones is linked to stronger neuroinflammation. Until now, however, no effort has been made to elucidate whether central stress processing and immune system sensitivity to stress hormones are related in a disease-specific fashion, and if so, whether this relation is clinically meaningful. Consequently, we conducted two functional MRI analyses based on a total of 39 persons with multiple sclerosis and 25 healthy persons. Motivated by findings of an altered interplay between neuroendocrine stress processing and T-cell glucocorticoid sensitivity in multiple sclerosis, we searched for neural networks whose stress task-evoked activity is differentially linked to peripheral T-cell glucocorticoid signalling in patients versus healthy persons as a potential indicator of disease-specific CNS–immune crosstalk. Subsequently, we tested whether this activity is simultaneously related to disease severity. We found that activity of a network comprising right anterior insula, right fusiform gyrus, left midcingulate and lingual gyrus was differentially coupled to T-cell glucocorticoid signalling across groups. This network’s activity was simultaneously linked to patients’ lesion volume, clinical disability and information-processing speed. Complementary analyses revealed that T-cell glucocorticoid signalling was not directly linked to disease severity. Our findings show that alterations in the coupling between central stress processing and T-cell stress hormone sensitivity are related to key severity measures of multiple sclerosis.

Altered CNS–immune system crosstalk and its link to disease severity in multiple sclerosis

Altered CNS–immune system crosstalk and its link to disease severity in multiple sclerosis

Serum levels and genetic variation of IL-35 are associated with multiple sclerosis: a population-based case-control study.

This study aimed to investigate the association between serum levels and polymorphic variants of IL-35 with susceptibility, clinical features, and disease severity in multiple sclerosis (MS) patients.This case-control study recruited 186 MS patients and 195 sex- and age-matched healthy controls. Serum levels and polymorphic variants of IL-35 were determined by ELISA and restriction fragment length polymorphism (RFLP)-PCR or high resolution melting (HRM) analysis methods, respectively. In addition, by in silico analysis, we evaluated the location and function of the polymorphism.Serum levels of IL-35 were significantly lower in the patients than those of healthy controls (49.3 ± 3.7 vs. 69.5 ± 7.8, p = 0.009). EBI3 rs4740 polymorphism of IL-35 was associated with 2.2-fold increased risk of MS susceptibility (95% CI, 1.3-3.9, p = 0.005). However, there were no differences in the genotype distribution and allele frequencies of IL-35 rs568408 between the patients and controls (p > 0.05). In silico results showed that variation in IL-12A and EBI3 may affect on protein pathways of the cells and different components of the immune system such as NF-κB and INF-γ.The results show that IL-35 polymorphisms might be a genetic risk factor for the development of MS.