Efficacy and safety of peginterferon beta-1a compared to interferon beta-1a in relapsing remitting multiple sclerosis patients: A phase 3, randomized, non-inferiority clinical trial (PEGINTEGRITY).

BACKGROUND: Multiple sclerosis (MS) is a prevalent, disabling, inflammatory, neurodegenerative disease that typically manifests during a highly productive stage of life. Interferon beta-1a was among the first approved disease-modifying therapies for MS and remains among the first-line treatment options. Pegylation of the interferon beta-1a molecule prolongs its half-life while maintaining its efficacy and safety profile. In PEGINTEGRITY study, we aimed to compare peginterferon beta-1a with interferon beta-1a in terms of efficacy and safety in relapsing-remitting multiple sclerosis (RRMS) patients. METHODS: This study was a randomized, active-controlled, parallel-group, multi-center Phase 3 trial conducted in Iran in participants with RRMS. Participants received 125 µg of subcutaneous peginterferon beta-1a every two weeks or 30 µg of intramuscular interferon beta-1a once a week for up to 96 weeks. The primary outcome was the non-inferiority of peginterferon beta-1a to interferon beta-1a in reducing annualized relapse rate (ARR). Other outcomes included the number of patients with 12-week confirmed disability progression, the number of new or newly-enlarging T2 hyperintense lesions, the number of gadolinium-enhancing lesions, the number of new T1 hypointense lesions, the volume of new or newly-enlarging T2 hyperintense lesions, changes in brain volume, immunogenicity, and safety assessments. RESULTS: A total of 168 patients who met the eligibility criteria were enrolled and assigned to two arms of the study, each consisting of 84 participants. Totally, 41 participants (24 patients in the peginterferon beta-1a group and 17 patients in the interferon beta-1a group) were withdrawn from the study. The withdrawn patients were included in the per-protocol analysis for the period of time they were in the study. In 96 weeks, in the per-protocol population, the ARR was 0.05 in the peginterferon beta-1a group versus 0.11 in the interferon beta-1a group, which does not reflect a statistically significant difference (p=0.09; 95 % CI, 0.18-1.14). Considering the upper limit of the one-sided 95 % CI of the rate ratio of peginterferon beta-1a compared to interferon beta-1a, as well as the non-inferiority margin, it can be concluded that the primary outcome was met. The results were also comparable for other efficacy and safety outcomes. CONCLUSION: The results demonstrate the non-inferiority of peginterferon beta-1a to interferon beta-1a with similar efficacy in 96-week ARR in RRMS patients. Both arms were also comparable in other efficacy outcomes and safety profiles with no statistically significant differences. These findings support considering peginterferon beta-1a as a safe and efficient option in patients with RRMS. This study was registered on Iranian Registry of Clinical Trials (IRCT201612306135N8) and clinicaltrials.gov (NCT05242133).

SLO-Net: Enhancing Multiple Sclerosis Diagnosis Beyond Optical Coherence Tomography Using Infrared Reflectance Scanning Laser Ophthalmoscopy Images.

Purpose: Several machine learning studies have used optical coherence tomography (OCT) for multiple sclerosis (MS) classification with promising outcomes. Infrared reflectance scanning laser ophthalmoscopy (IR-SLO) captures high-resolution fundus images, commonly combined with OCT for fixed B-scan positions. However, no machine learning research has utilized IR-SLO images for automated MS diagnosis. Methods: This study utilized a dataset comprised of IR-SLO images and OCT data from Isfahan, Iran, encompassing 32 MS and 70 healthy individuals. A number of convolutional neural networks (CNNs)-namely, VGG-16, VGG-19, ResNet-50, ResNet-101, and a custom architecture-were trained with both IR-SLO images and OCT thickness maps as two separate input datasets. The highest performing models for each modality were then integrated to create a bimodal model that receives the combination of OCT thickness maps and IR-SLO images. Subject-wise data splitting was employed to prevent data leakage among training, validation, and testing sets. Results: Overall, images of the 102 patients from the internal dataset were divided into test, validation, and training subsets. Subsequently, we employed a bootstrapping approach on the training data through iterative sampling with replacement. The performance of the proposed bimodal model was evaluated on the internal test dataset, demonstrating an accuracy of 92.40% ± 4.1% (95% confidence interval [CI], 83.61-98.08), sensitivity of 95.43% ± 5.75% (95% CI, 83.71-100.0), specificity of 92.82% ± 3.72% (95% CI, 81.15-96.77), area under the receiver operating characteristic (AUROC) curve of 96.99% ± 2.99% (95% CI, 86.11-99.78), and area under the precision-recall curve (AUPRC) of 97.27% ± 2.94% (95% CI, 86.83-99.83). Furthermore, to assess the model generalization ability, we examined its performance on an external test dataset following the same bootstrap methodology, achieving promising results, with accuracy of 85.43% ± 0.08% (95% CI, 71.43-100.0), sensitivity of 97.33% ± 0.06% (95% CI, 83.33-100.0), specificity of 84.6% ± 0.10% (95% CI, 71.43-100.0), AUROC curve of 99.67% ± 0.02% (95% CI, 95.63-100.0), and AUPRC of 99.65% ± 0.02% (95% CI, 94.90-100.0). Conclusions: Incorporating both modalities improves the performance of automated diagnosis of MS, showcasing the potential of utilizing IR-SLO as a complementary tool alongside OCT. Translational Relevance: Should the results of our proposed bimodal model be validated in future work with larger and more diverse datasets, diagnosis of MS based on both OCT and IR-SLO can be reliably integrated into routine clinical practice.

Consanguineous marriage among familial multiple sclerosis subjects: A national registry-based study.

Background: The rising prevalence of familial multiple sclerosis (MS) in Iran has spurred interest in the potential impact of parental consanguinity on the risk of developing the disease. This study aims to aggregate current knowledge on parental consanguinity and its possible effect on MS risk, particularly among familial MS patients from various regions and ethnicities in Iran. The objective is to enhance the understanding of MS genetics and encourage further research in this field. Materials and methods: A cross-sectional study was conducted on clinically definite familial MS (FMS) patients registered in the nationwide MS registry of Iran (NMSRI). Data were extracted and supplemented with structured telephone follow-ups to gather detailed histories of MS in relatives and the familial relationships of the patients' parents. A family penetration score was proposed. Descriptive statistics and inferential statistical tests were used to analyze the data at a significance level of 0.05, adhering to ethical guidelines. Results: Out of 19,911 individuals registered in the NMSRI, 2307 FMS patients across 13 provinces were included in the final analysis. Among these, 385 (19.3 %) reported parental consanguinity, with 283 (14.2 %) having parents who were cousins and 102 (5.1 %) having parents who were distant relatives. The data showed no significant association between parental kinship and variables such as MS phenotype, number of affected relatives with MS, hospitalization rates, and expanded disability status scale score. Similarly, MS severity did not differ based on parental consanguinity (P-value >0.05). While the rate of consanguineous marriage was higher among patients with an onset age less than 18 years, there was no statistically significant difference in disease onset age based on parental consanguinity status. Conclusion: Our study highlights the complexity of factors influencing MS development, including genetic and environmental components. These results highlight the need for further research to achieve a more comprehensive understanding of MS etiology.

Early clinical response and complications of therapeutic plasma exchange in central nervous system demyelinating diseases.

Background: Appropriate treatment reduces the severity and duration of relapses in demyelinating diseases of Central Nervous System (CNS). If high-dose corticosteroids treatment fails, therapeutic plasma exchange (TPE) is considered as a rescue treatment. Objectives: This study aimed to investigate early clinical response and complications of TPE and prognostic factors in CNS demyelinating relapses. Design: This prospective observational study was designed in a tertiary center during one year. Methods: All adult patients diagnosed corticosteroid-resistant Multiple Sclerosis (MS), NeuroMyelitis Optica Spectrum Disorder (NMOSD), idiotypic Transverse Myelitis or Clinical Isolated Syndrome relapses, were eligible. Clinical response is defined based on Expanded Disability Status Scale (EDSS) at discharge. Clinical and laboratory complications recorded. Results: Seventy-two patients were analyzed which 58.3% patients were female. MS was diagnosed for 61.1% of cases. Thirty-five patients (48.6%) responded and the mean differences of EDSS significantly decreased 0.60 score (CI95%:0.44-.77). Electrolyte imbalances and thrombocytopenia occurred in 80.6% and 55.6% of cases respectively and 40.3% of patients had systemic reactions. However, 26.4% patients experienced moderate to severe complications. In patients with moderate to severe disability, responders were younger (MD: 8.42 years, CI95%: 1.67-15.17) and had lower EDSS score at admission (median:6, IQR: 5.5-6 against 7.5 IQR: 6.5-8). The risk of failure was higher in active progressive MS patients compared with RRMS patients (OR: 6.06, CI 95%:1.37-26.76). Patients with thrombocytopenia were hospitalized more than others (MD: 1.5 days, CI 95%: 0-3). Females were more prone to hypokalemia and systemic reactions (OR: 3.11, CI 95%:1.17-8.24 and OR: 6.67, CI 95%:2.14-20.81 respectively). Conclusion: The most common indication of TPE was corticosteroid-resistant severe MS relapses. About half of the patients presented an early clinical response. Lower disability, younger age and RRMS diagnosis are prognostic factors of better response. One out of four patients experienced moderate to severe complications, mainly electrolyte imbalances and systemic reactions. Appropriate interventions against these complications should be considered during TPE, especially in females.

Retinal Changes in Double-Antibody Seronegative Neuromyelitis Optica Spectrum Disorders.

BACKGROUND AND OBJECTIVES: To systematically describe the clinical picture of double-antibody seronegative neuromyelitis optica spectrum disorders (DN-NMOSD) with specific emphasis on retinal involvement. METHODS: Cross-sectional data of 25 people with DN-NMOSD (48 eyes) with and without a history of optic neuritis (ON) were included in this study along with data from 25 people with aquaporin-4 antibody seropositive neuromyelitis optica spectrum disorder (AQP4-NMOSD, 46 eyes) and from 25 healthy controls (HCs, 49 eyes) for comparison. All groups were matched for age and sex and included from the collaborative retrospective study of retinal optical coherence tomography (OCT) in neuromyelitis optica (CROCTINO). Participants underwent OCT with central postprocessing and local neurologic examination and antibody testing. Retinal neurodegeneration was quantified as peripapillary retinal nerve fiber layer thickness (pRNFL) and combined ganglion cell and inner plexiform layer thickness (GCIPL). RESULTS: This DN-NMOSD cohort had a history of [median (inter-quartile range)] 6 (5; 9) attacks within their 5 ± 4 years since onset. Myelitis and ON were the most common attack types. In DN-NMOSD eyes after ON, pRNFL (p < 0.001) and GCIPL (p = 0.023) were thinner compared with eyes of HCs. Even after only one ON episode, DN-NMOSD eyes already had considerable neuroaxonal loss compared with HCs. In DN-NMOSD eyes without a history of ON, pRNFL (p = 0.027) and GCIPL (p = 0.022) were also reduced compared with eyes of HCs. However, there was no difference in pRNFL and GCIPL between DN-NMOSD and AQP4-NMOSD for the whole group and for subsets with a history of ON and without a history of ON-as well as between variances of retinal layer thicknesses. DISCUSSION: DN-NMOSD is characterized by severe retinal damage after ON and attack-independent retinal neurodegeneration. Most of the damage occurs during the first ON episode, which highlights the need for better diagnostic markers in DN-NMOSD to facilitate an earlier diagnosis as well as for effective and early treatments. In this study, people with DN-NMOSD presented with homogeneous clinical and imaging findings potentially suggesting a common retinal pathology in these patients.

Discrimination of multiple sclerosis using scanning laser ophthalmoscopy images with autoencoder-based feature extraction.

OBJECTIVE: Optical coherence tomography (OCT) investigations have revealed that the thickness of inner retinal layers becomes decreased in multiple sclerosis (MS) patients, compared to healthy control (HC) individuals. To date, a number of studies have applied machine learning to OCT thickness measurements, aiming to enable accurate and automated diagnosis of the disease. However, there have much less emphasis on other less common retinal imaging modalities, like infrared scanning laser ophthalmoscopy (IR-SLO), for classifying MS. IR-SLO uses laser light to capture high-resolution fundus images, often performed in conjunction with OCT to lock B-scans at a fixed position. METHODS: We incorporated two independent datasets of IR-SLO images from the Isfahan and Johns Hopkins centers, consisting of 164 MS and 150 HC images. A subject-wise data splitting approach was employed to ensure that there was no leakage between training and test datasets. Several state-of-the-art convolutional neural networks (CNNs), including VGG-16, VGG-19, ResNet-50, and InceptionV3, and a CNN with a custom architecture were employed. In the next step, we designed a convolutional autoencoder (CAE) to extract semantic features subsequently given as inputs to four conventional ML classifiers, including support vector machine (SVM), k-nearest neighbor (K-NN), random forest (RF), and multi-layer perceptron (MLP). RESULTS: The custom CNN (85 % accuracy, 85 % sensitivity, 87 % specificity, 93 % area under the receiver operating characteristics [AUROC], and 94 % area under the precision-recall curve [AUPRC]) outperformed state-of-the-art models (84 % accuracy, 83 % sensitivity, 87 % specificity, 92 % AUROC, and 94 % AUPRC); however, utilizing a combination of the CAE and MLP yields even superior results (88 % accuracy, 86 % sensitivity, 91 % specificity, 94 % AUROC, and 95 % AUPRC). CONCLUSIONS: We utilized IR-SLO images to differentiate between MS and HC eyes, with promising results achieved using a combination of CAE and MLP. Future multi-center studies involving more heterogenous data are necessary to assess the feasibility of integrating IR-SLO images into routine clinical practice.

Time interval between the onset of symptoms and diagnosis of multiple sclerosis and the influential factors: A national registry-based study.

OBJECTIVE: The time to diagnosis of multiple sclerosis (MS) is of great importance for early treatment, thereby reducing the disability and burden of the disease. The purpose of this study was to determine the time from the onset of clinical symptoms to the diagnosis of MS and to evaluate the factors associated with a late diagnosis in Iranian MS patients. METHODS: The present cross-sectional study was conducted on patients with MS who were registered in the National MS Registry System of Iran (NMSRI). RESULTS: Overall, 23291 MS patients registered in 18 provinces of Iran were included in this study. The mean (standard deviation) interval between the onset of the disease and diagnosis of MS was 13.42 (32.40) months, and the median was one month. The diagnostic interval of 41.6% of patients was less than one month, and 14.8% of them had a one-month time to diagnosis. Patients with an age of onset below 18 years and those diagnosed after the age of 50 years had a longer time to diagnosis (P<0.001). Patients with primary progressive MS (PPMS) had the longest time to diagnose and those with relapsing-remitting MS (RRMS) had the shortest time (P<0.001). The results of negative binominal regression showed that the average rate of delay in diagnosis in women was 12% less than that in men. The average delay in diagnosis in patients with a positive family history of MS was 23% more than that in others. The rate of delay in the diagnosis of patients with PPMS and secondary progressive MS was 2.22 and 1.66 times higher, respectively, compared with RRMS. CONCLUSION: The findings of the present study revealed that more than half of the MS patients were diagnosed within a one-month interval from the symptom onset, which is an acceptable period. More attention should be paid to patients' access to medical facilities and MS specialists.

A national registry-based study of ethnic differences in people with multiple sclerosis in Iran.

OBJECTIVE: The relationship between MS and ethnicity has been understudied in the Middle East compared to the United States and Europe. As Iran as the highest prevalence of MS in the Middle East, we decided to investigate the demographic and clinical differences in people with MS (pwMS) from major ethnicities Iran. METHODS: In a cross-sectional study using data from National Multiple Sclerosis Registry in Iran. PwMS from six provinces were chosen and interviewed for determining their ethnicity. Persians (Fars), Kurds, Lurs, Azeris and Arabs with a clear ethnic background were included. Recorded data from the registry was used to compare the demographic and clinical features. RESULTS: A total of 4015 pwMS (74.2% female) were included in the study with an average age of 36.76 ± 9.68 years. Persians and Kurds had the highest percentage of pwMS in youngest and oldest age groups, respectively, with 2.9% and 5.7% (p<0.01). The highest average age of onset was seen in Persians (29.47 ± 8.89) and the lowest observed in Mazandaranis (26.82 ± 7.68, p<0.01). Azeris and Kurds had the highest proportions of pwMS diagnosed <18 and >55, at rates of 12% and 1.6%, respectively (p<0.01). There were statistically significant differences in distribution of phenotypes (p<0.01) and time to progression to secondary progressive MS (p<0.01) such that Persians had the highest rate of clinically isolated syndrome (CIS) at 19.3% and Arabs had highest rates of relapsing-remitting MS (86.2%) and secondary progressive MS (16.4%). Lurs, Azeris and Mazandaranis had significantly more patients progressing to secondary-progressive MS <5 years from diagnosis (p<0.01). There was a significant difference in number of relapses between the ethnicities (p<0.01) with Lurs having the highest proportion of participants reporting >4 relapses with 23.0% and Azeris having the highest percentage of pwMS reporting no relapse (53.0%). Kurds had the highest Expanded Disability Status Scale (EDSS) average at 2.93 ± 1.99 and Lurs had the lowest with 1.28 ± 1.25 (p<0.01). The differences in prevalence of positive family history for the whole cohort between ethnicities were significant (P=0.02), ranging from 12.8% in Kurds to 19.6% in Persians. CONCLUSION: We found Persians to have higher rates of pediatric MS and higher rates of CIS. Kurds and Lurs had higher and lower EDSS scores, respectively. Lurs and Persian had higher annual relapse rates. We also found lower rates of SPMS among Arabs and earlier progression to SPMS in Lurs, Azeris and Mazandaranis. Such differences highlight the importance of the potential role of ethnicities in diagnosis and prognosis of MS, especially considering their observation within the geographical limits of a single country.

Prevalence and incidence of multiple sclerosis in Isfahan, Iran between 1996 and 2021: A population-based study.

BACKGROUND: There has been no recent comprehensive epidemiological study on a large and stable population of multiple sclerosis (MS) in Isfahan. Therefore, we conducted this study to estimate the incidence and prevalence of MS in Isfahan province from 1996 to 2021. METHOD: In this population-based study, we utilized the dataset from the Vice-Chancellor's Office of Isfahan University of Medical Sciences, which registers all people diagnosed with MS (PDWM) in Isfahan province, excluding those residing in Kashan city. We measured crude incidence and prevalence of MS, separated by sex, and based on age of MS onset, as well as changes in age of MS onset during observation. RESULTS: A total of 9,909 PDWM were included in our study. The incidence during the time period of 1996-2000 was 5.4/100,000 (1.1/100,000 per year), which subsequently increased to 14.1 (2.8/100,000 per years) and 31.1 per 100,000 (6.2/100,000 per year) during 2001-2005 and 2006-2010, respectively. There was a further increase to 70.9/100,000 (14.2/100,000 per year) in 2011-2015, but it remained stable at 71.8/100,000 (12/100,000 per year) during the period of 2016-2021. In 2016, the age-standardized incidence rates of pediatric-onset, adult-onset, and late-onset MS were 1.8/100,000, 31.4/100,000, and 17.5/100,000, respectively. The prevalence of MS in 2021 was 183.9/100,000. The female/male new case ratio was 4.5 during 1996-2000, decreasing to 4.0, 3.9, 3.9, and 2.9 in the subsequent four five-year periods. The mean age of RRMS onset was 26.3 ± 8.1 between 1990 and 1999, 28.5 ± 8.3 during 2000-2009, and increased to 32.8 ± 9.6 in 2010-2019. CONCLUSION: This study shows that Isfahan has one of the highest incidence rate and prevalence ratio of MS in the region. We observed an increase in the incidence rate during the first decade, followed by stability in the last two five- and six-year periods. Further studies are needed to identify the reasons behind the change in incidence of MS in Iran.

A mechanistic insight into sources of error of visual working memory in multiple sclerosis.

Working memory (WM) is one of the most affected cognitive domains in multiple sclerosis (MS), which is mainly studied by the previously established binary model for information storage (slot model). However, recent observations based on the continuous reproduction paradigms have shown that assuming dynamic allocation of WM resources (resource model) instead of the binary hypothesis will give more accurate predictions in WM assessment. Moreover, continuous reproduction paradigms allow for assessing the distribution of error in recalling information, providing new insights into the organization of the WM system. Hence, by utilizing two continuous reproduction paradigms, memory-guided localization (MGL) and analog recall task with sequential presentation, we investigated WM dysfunction in MS. Our results demonstrated an overall increase in recall error and decreased recall precision in MS. While sequential paradigms were better in distinguishing healthy control from relapsing-remitting MS, MGL were more accurate in discriminating MS subtypes (relapsing-remitting from secondary progressive), providing evidence about the underlying mechanisms of WM deficit in progressive states of the disease. Furthermore, computational modeling of the results from the sequential paradigm determined that imprecision in decoding information and swap error (mistakenly reporting the feature of other presented items) was responsible for WM dysfunction in MS. Overall, this study offered a sensitive measure for assessing WM deficit and provided new insight into the organization of the WM system in MS population.

Working memory is a system that temporarily stores and manipulates information used in tasks like decision-making and reasoning. Patients with multiple sclerosis ­ a condition that can affect the brain and spinal cord ­ often have impaired working memory, which can negatively affect their quality of life. Traditionally, working memory has been evaluated using tests that determine whether a patient can recall an item or not. In this approach, an incorrect response implies a complete absence of information regarding the specific item, resulting in a binary evaluation. More recently, researchers have shown that the precision of the memories people recall degrades gradually as they are asked to remember more things and that focusing on an item negatively affects recall precision for other items. This implies that working memory is reorganised flexibly between memorised items, a so-called 'resource model'. Unlike previous research, which favoured a binary model, Motahharynia et al. used a resource model to study visual working memory impairment in multiple sclerosis. The study participants consisted of healthy volunteers and patients with two subtypes of multiple sclerosis. Each participant completed one of two different types of test. In one, they were shown targets for short periods of time and then asked to pinpoint their position after they disappeared. In the other, participants were asked to memorise the orientation and colour of consecutively presented bars. The findings confirmed that multiple sclerosis patients had worse memory recall than people without the disease. However, computer modelling provided insights into the sources of error in working memory dysfunction, showing that the memory deficiency was due to imprecision in recalling information and 'swap errors', the phenomenon of mistakenly reporting the property of other memorised items. This rise in swap errors is likely due to an increase in unwanted signals, or noise, in the brains of multiple sclerosis patients. Motahharynia et al. have presented a sensitive way of measuring working memory deficiency. Importantly, the measurements were able to distinguish between different stages of multiple sclerosis. This could help doctors detect disease progression earlier, allowing for more timely and effective treatment interventions. This method could also be useful in the development and testing of drugs for therapy.

Patterns of attention deficit in relapsing and progressive phenotypes of multiple sclerosis.

Behavioral aspects and underlying pathology of attention deficit in multiple sclerosis (MS) remain unknown. This study aimed to clarify impairment of attention and its relationship with MS-related fatigue. Thirty-four relapse-remitting MS (RRMS), 35 secondary-progressive MS (SPMS) and 45 healthy controls (HC) were included. Results of psychophysics tasks (attention network test (ANT) and Posner spatial cueing test) and fatigue assessments (visual analogue scale and modified fatigue impact scale (MFIS)) were compared between groups. In ANT, attentional network effects were not different between MS phenotypes and HC. In Posner task, RRMS or SPMS patients did not benefit from valid cues unlike HC. RRMS and SPMS patients had less gain in exogenous trials with 62.5 ms cue-target interval time (CTIT) and endogenous trials with 250 ms CTIT, respectively. Total MFIS was the predictor of gain in 250 ms endogenous blocks and cognitive MFIS predicted orienting attentional effect. Executive attentional effect in RRMS patients with shorter disease duration and orienting attentional effect in longer diagnosed SPMS were correlated with MFIS scores. The pattern of attention deficit in MS differs between phenotypes. Exogenous attention is impaired in RRMS patients while SPMS patients have deficit in endogenous attention. Fatigue trait predicts impairment of endogenous and orienting attention in MS.

Thalamic asymmetry in Multiple Sclerosis.

BACKGROUND: Multiple Sclerosis (MS) is a chronic neuroinflammatory disease that affects the central nervous system. Asymmetry is one of the finding in brain MRI of these patients, which is related to the debilitating symptoms of the disease. This study aimed to investigate and compare the thalamic asymmetry in MS patients and its relationship with other MRI and clinical findings of these patients. METHODS: This cross-sectional study conducted on 83 patients with relapse-remitting MS (RRMS), 43 patients with secondary progressive MS (SPMS), and 89 healthy controls. The volumes of total intracranial, total gray matter, total white matter, lesions, thalamus, and also the thalamic asymmetry indices were calculated. The 9-hole peg test (9-HPT) and Expanded Disability Status Scale (EDSS) were assessed as clinical findings. RESULTS: We showed that the normalized whole thalamic volume in healthy subjects was higher than MS patients (both RRMS and SPMS). Thalamic asymmetry index (TAI) was significantly different between RRMS patients and SPMS patients (p = 0.011). The absolute value of TAI was significantly lower in healthy subjects than in RRMS (p < 0.001) and SPMS patients (p < 0.001), and SPMS patients had a higher absolute TAI compared to RRMS patients (p = 0.037). CONCLUSIONS: In this cross-sectional study we showed a relationship between normalized whole thalamic volume and MS subtype. Also, we showed that the asymmetric indices of the thalamus can be related to the progression of the disease. Eventually, we showed that thalamic asymmetry can be related to the disease progression and subtype changes in MS.

Discrimination of multiple sclerosis using OCT images from two different centers.

BACKGROUND: Multiple sclerosis (MS) is one of the most prevalent chronic inflammatory diseases caused by demyelination and axonal damage in the central nervous system. Structural retinal imaging via optical coherence tomography (OCT) shows promise as a noninvasive biomarker for monitoring of MS. There are successful reports regarding the application of Artificial Intelligence (AI) in the analysis of cross-sectional OCTs in ophthalmologic diseases. However, the alteration of thicknesses of various retinal layers in MS is noticeably subtle compared to other ophthalmologic diseases. Therefore, raw cross-sectional OCTs are replaced with multilayer segmented OCTs for discrimination of MS and healthy controls (HCs). METHODS: To conform to the principles of trustworthy AI, interpretability is provided by visualizing the regional layer contribution to classification performance with the proposed occlusion sensitivity approach. The robustness of the classification is also guaranteed by showing the effectiveness of the algorithm while being tested on the new independent dataset. The most discriminative features from different topologies of the multilayer segmented OCTs are selected by the dimension reduction method. Support vector machine (SVM), random forest (RF), and artificial neural network (ANN) are used for classification. Patient-wise cross-validation (CV) is utilized to evaluate the performance of the algorithm, where the training and test folds contain records from different subjects. RESULTS: The most discriminative topology is determined to square with a size of 40 pixels and the most influential layers are the ganglion cell and inner plexiform layer (GCIPL) and inner nuclear layer (INL). Linear SVM resulted in 88% Accuracy (with standard deviation (std) = 0.49 in 10 times of execution to indicate the repeatability), 78% precision (std=1.48), and 63% recall (std=1.35) in the discrimination of MS and HCs using macular multilayer segmented OCTs. CONCLUSION: The proposed classification algorithm is expected to help neurologists in the early diagnosis of MS. This paper distinguishes itself from other studies by employing two distinct datasets, which enhances the robustness of its findings in comparison with previous studies with lack of external validation. This study aims to circumvent the utilization of deep learning methods due to the limited quantity of the available data and convincingly demonstrates that favorable outcomes can be achieved without relying on deep learning techniques.

Epidemiologic and clinical characteristics of neuromyelitis optica spectrum disorder patients, A seven years follow-up study from Iran.

BACKGROUND: Neuromyelitis Optica Spectrum Disorder (NMOSD) is a rare neuroinflammatory disease characterized by recurrent relapses. The most common signs are myelitis and optic neuritis. It can also present by cerebral or brain stem syndromes. There are still many challenges in its diagnosis and treatment, and long-term follow-up studies are needed to see the disease course over time. METHODS: We established an electronic registration system of NMOSD patients starting from October 2015 in Kashani hospital, Isfahan, Iran. Every suspected patient was documented and included in the follow-up system to survey their disease course. Anti-aquaporine 4 (AQP4) antibody checked for all by cell-based assay method. All information such as demographic and clinical data and laboratory and MRI findings were documented. Participants were followed up for any relapses, new paraclinical tests and drug changes. This study is based on the definite NMOSD cases (according to the 2015 criteria) characteristics and clinical course during 7 years of registration. RESULTS: The study included 173 NMOSD cases and 56 ones were seropositive for AQP4 Ab. Their mean age was 40.02±11.11 years (45.78 in the seropositive group). The mean age at disease onset was about 30.16 years. The mean time of follow-up by our registration system is 55.84 ± 18.94 months (54.82 months in seropositive ones). The annual relapse rate is estimated as 0.47±0.36. Long extended transvers myelitis (LETM) was present in the baseline MRI of 77 patients (44.5%), while 32 of them did not show any related clinical symptoms. 124 patients revealed an abnormality in the first brain MRI. 27 individuals suffer hypothyroidism as the most common comorbid disease. The disease seems to be more prevalent in the west and southwest areas of Isfahan province. CONCLUSION: The mean age of onset is higher than Multiple Sclerosis (MS) patients, but there are notable pediatric cases too. It should also be noticed that cervical LETM can be asymptomatic at first. Brain MRI abnormalities are frequently observed. The disease is more prevalent in the geographical areas where showing high MS prevalence.

Comparative Analysis of Apigenin-3 Acetate versus Apigenin and Methyl-Prednisolone in Inhibiting Proliferation and Gene Expression of Th1 Cells in Multiple Sclerosis.

OBJECTIVE: In spite of the advances in therapeutic modalities, morbidity, due to multiple sclerosis (MS), still remains high. Therefore, a large body of research is endeavouring to discover or develop novel therapies with improved efficacy for treating MS patients. In the present study, we examined the immunomodulatory effects of apigenin (Api) on peripheral blood mononuclear cells (PBMCs) isolated from MS patients. We also developed an acetylated form of Api (apigenin- 3-acetate) to improve In its blood-brain barrier (BBB) permeability. Additionally, we compared its anti-inflammatory properties to original Api and methyl-prednisolone-acetate (a standard therapy), as a potential option in treating MS patients. MATERIALS AND METHODS: The current study was an experimental-interventional research. The half maximal inhibitory concentration (IC50) values for apigenin-3-acetate, apigenin, and methyl-prednisolone-acetate were determined in healthy volunteers' PBMCs (n=3). Gene expressions of T-box transcription factor (TBX21 or T-bet) and IFN-γ, as well as proliferation of T cells isolated from MS patients' PBMCs (n=5), were examined in co-cultures of apigenin-3-acetate, Api and methyl-prednisolone-acetate after 48 hours of treatment, using quantitative reverse transcription polymerase chain reaction (qRT-PCR). RESULTS: Our findings showed that apigenin-3-acetate, apigenin, and methyl-prednisolone-acetate at concentrations of 80, 80, and 2.5 M could inhibit Th1 cell proliferation after 48 hours (P=0.001, P=0.036, and P=0.047, respectively); they also inhibited T-bet (P=0.015, P=0.019, and P=0.022) and interferon-γ (IFN-γ) gene expressions (P=0.0001). CONCLUSION: Our findings suggested that Api may have anti-inflammatory properties, possibly by inhibiting proliferation of IFN-producing Th1 cells. Moreover, comparative immunomodulatory effects were found for the acetylated version of apigenin-3-acetate versus Api and methyl-prednisolone-acetate.

Diagnostic value of intereye difference metrics for optic neuritis in aquaporin-4 antibody seropositive neuromyelitis optica spectrum disorders.

BACKGROUND: The novel optic neuritis (ON) diagnostic criteria include intereye differences (IED) of optical coherence tomography (OCT) parameters. IED has proven valuable for ON diagnosis in multiple sclerosis but has not been evaluated in aquaporin-4 antibody seropositive neuromyelitis optica spectrum disorders (AQP4+NMOSD). We evaluated the diagnostic accuracy of intereye absolute (IEAD) and percentage difference (IEPD) in AQP4+NMOSD after unilateral ON >6 months before OCT as compared with healthy controls (HC). METHODS: Twenty-eight AQP4+NMOSD after unilateral ON (NMOSD-ON), 62 HC and 45 AQP4+NMOSD without ON history (NMOSD-NON) were recruited by 13 centres as part of the international Collaborative Retrospective Study on retinal OCT in Neuromyelitis Optica study. Mean thickness of peripapillary retinal nerve fibre layer (pRNFL) and macular ganglion cell and inner plexiform layer (GCIPL) were quantified by Spectralis spectral domain OCT. Threshold values of the ON diagnostic criteria (pRNFL: IEAD 5 µm, IEPD 5%; GCIPL: IEAD: 4 µm, IEPD: 4%) were evaluated using receiver operating characteristics and area under the curve (AUC) metrics. RESULTS: The discriminative power was high for NMOSD-ON versus HC for IEAD (pRNFL: AUC 0.95, specificity 82%, sensitivity 86%; GCIPL: AUC 0.93, specificity 98%, sensitivity 75%) and IEPD (pRNFL: AUC 0.96, specificity 87%, sensitivity 89%; GCIPL: AUC 0.94, specificity 96%, sensitivity 82%). The discriminative power was high/moderate for NMOSD-ON versus NMOSD-NON for IEAD (pRNFL: AUC 0.92, specificity 77%, sensitivity 86%; GCIP: AUC 0.87, specificity 85%, sensitivity 75%) and for IEPD (pRNFL: AUC 0.94, specificity 82%, sensitivity 89%; GCIP: AUC 0.88, specificity 82%, sensitivity 82%). CONCLUSIONS: Results support the validation of the IED metrics as OCT parameters of the novel diagnostic ON criteria in AQP4+NMOSD.

Effect of deep gray matter atrophy on information processing speed in early relapsing-remitting multiple sclerosis.

BACKGROUND: Cognitive dysfunction, including reduced Information processing speed (IPS), is relatively common in multiple sclerosis(MS). IPS deficits have profound effects on several aspects of patients' life. Previous studies showed that deep gray matter atrophy is highly correlated with overall cognitive impairment in MS. However, the effect of deep gray matter atrophy on IPS deficits is not well understood. In this study, we evaluated the effects of deep gray matter volume changes on IPS in people with early relapse-remitting MS (RRMS) compared to healthy control. METHODS: In this case-control study, we enrolled 63 case with RRMS and 36 healthy controls. All patients were diagnosed within 6 years. IPS was evaluated using the Integrated Cognitive Assessment (ICA) test. We also performed a 1.5T MRI to evaluate deep gray matter structures. RESULTS: People with RRMS had lower accuracy in the ICA test (p = .01). However, the reaction time did not significantly differ between RRMS and control groups (p = .6). Thalamus volume was significantly lower in the RRMS group with impaired IPS compared to the RRMS with normal IPS and control groups (p < 10-4). Other deep gray matter structures were not significantly different between the RRMS with impaired IPS group and the RRMS with normal IPS group. CONCLUSION: Some people with MS are impaired in IPS even in the early stages of the disease. Thalamic atrophy affected IPS in these patients, however atrophy in other deep gray matter structures, including caudate, putamen, globus pallidus, hippocampus, amygdala, accumbens, and cerebellum, were not significantly correlated with IPS impairment in early RRMS.

Late-onset multiple sclerosis in Iran: A report on demographic and disease characteristics.

BACKGROUND: Today, it is estimated that around 5% of multiple sclerosis (MS) patients are in the late-onset category (age at disease onset ≥ 50). Diagnosis and treatment in this group could be challenging. Here, we report the latest update on the characteristics of Iranian patients with late-onset MS (LOMS). METHODS: This cross-sectional study used the information provided by the nationwide MS registry of Iran (NMSRI). The registrars from 14 provinces entered data of patients with a confirmed diagnosis of MS by neurologists. Patients with disease onset at or later than 50 years of age were considered LOMS. RESULTS: Of 20,036 records, the late-onset category included 321 patients (1.6%). The age-standardized LOMS prevalence was around 75 per 100,000 people. 215 patients (67%) were female. Median Expanded Disability Status Scale (EDSS) was 3 (interquartile range: 1.5-5). The majority of the cases (56%) suffered from relapsing-remitting (RR) course while 20% were diagnosed with primary progressive (PP) MS. Significantly higher proportion of male sex, PPMS, and higher EDSS were seen in the late-onset group compared with early-onset and adult-onset cases (p-value < 0.05). Seventy-five (23%) patients did not receive any disease-modifying treatment. DISCUSSION: The more prominent degenerative pathology of LOMS may be the underlying mechanism of the observed differences in comparison to non-LOMS. CONCLUSION: There are substantial differences and knowledge gaps regarding LOMS which could be the subject of further research.

Assessment of intelligence quotient in patients with neuromyelitis optica spectrum disease and multiple sclerosis.

BACKGROUND: Cognitive impairment is common in people living with neuromyelitis optica spectrum disease (NMOSD) and multiple sclerosis (MS). However, there is little published data on intelligence quotient (IQ) in NMOSD patients. Therefore, we performed the present study to compare IQ scores across NMOSD, MS, and control groups. METHOD: In this cross-sectional study, 49 NMOSD (30 with positive aquaporin4 antibody), 41 MS, and 20 control individuals were recruited. The IQ score for each person was measured using Wechsler Adult Intelligence Scale-Revised (WAIS-R). Participants were reported on eleven scores of subsets, verbal IQ (VIQ), performance IQ (PIQ), and full score IQ (FSIQ). RESULT: The scores of FSIQ, VIQ, PIQ, vocabulary, similarities, and digit-symbol in NMOSD and MS individuals were lower than the control group. Relative to control, NMOSD patients reported a lower score of information. We found no difference between NMOSD and MS groups, except in vocabulary and similarities. No significant difference between seropositive and seronegative NMOSD groups was observed except for the information and block design. In NMOSD group, a greater EDSS score was associated with decreased scores of FSIQ, VIQ, and PIQ. Being employed and being married were associated with greater scores of VIQ and PIQ, respectively. In both NMOSD and MS groups, advanced education was associated with increased scores of FSIQ and VIQ. CONCLUSION: Our study showed decreased IQ scores in NMOSD and MS. Further studies are required to examine intellectual quotient in people with NMOSD and MS.

Working memory dysfunction differs between secondary progressive and relapsing multiple sclerosis: Effects of clinical phenotype, age, disease duration, and disability.

BACKGROUND: Cognitive dysfunction is relatively common in patients with multiple sclerosis (MS). Although it occurs in all stages and all phenotypes of MS, it is more prevalent in secondary progressive MS (SPMS) compared to relapsing MS (RMS). It is unclear whether the higher frequency of cognitive impairment in SPMS is linked to the progressive phenotype or other clinical factors. In this study, we compared working memory in patients with RMS, SPMS, and healthy subjects. We also investigated the effects of age, disease duration, and disability on working memory performance. METHODS: This case-control study enrolled 134 MS patients, 69 patients were diagnosed with RMS and 65 patients with SPMS, and 77 healthy control subjects. We designed two working memory tasks with different sets of stimuli (face vs. checkerboard) and different instructions (same or different vs. which one is the same). RESULTS: Accuracy was significantly more impaired in SPMS patients than in RMS patients and both groups were worse than healthy subjects. This finding was similar between both tasks. Age and overall cognitive functions (measured with MoCA) also affected accuracy, but disease duration and disability only affected accuracy in working memory task with checkerboard stimuli. CONCLUSION: MS patients are impaired in keeping the information in the visual working memory for a few seconds. Progressive phenotype significantly affected working memory accuracy, and this effect did not explain out with other demographic or clinical factors. Future studies are needed to reveal underlying mechanisms of working memory dysfunction in SPMS and working memory dysfunction as a biomarker of disease progression.