Demographic and clinical profile of Multiple Sclerosis in Kashmir: A short report

Zahoor, Insha; Asimi, Ravouf; Haq, Ehtishamul; Wani, Iftikhar H

doi:10.1016/j.msard.2017.02.018

Cited by 9 publications

(6 citation statements)

References 10 publications

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“…The heterogeneous clinical profile of the enrolled MS participants in this preliminary study resembles to certain extent to that of Indian and Kashmiri MS patients engaged in Bhatia and Zahoor studies (Zahoor et al, 2017;Bhatia et al, 2015) where the female to male ratio was 1.5:1 and 3.1:1 respectively and the age of the majority of MS participants ranged between 31 and 40 years. Vitamin D, known as the modulator of calcium homeostasis, is believed to play a role in osteoporosis, resulting in decreased bone mineral density through the reduction of dietary calcium absorption (Howe and Dellavalle, 2007).…”

Section: Allelic and Genotypic Frequencies Of Cyp27b1 Studied Snpsmentioning

confidence: 67%

Association of CYP27B1 Polymorphism and Vitamin D Levels with Multiple Sclerosis Development in Lebanese Population of Bekaa Region: A Preliminary Study

Braidy

Matar

Borjac

2021

GenApp

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Multiple sclerosis (MS) is a neurodegenerative disease of the central nervous system (CNS). Interaction between genetic and environmental factors guides the development of the disease. Among environmental factors, vitamin D deficiency is shown to increase the risk of MS development. Several single nucleotide polymorphisms (SNPs) in cytochrome P450 family 27 subfamily B (CYP27B1) gene that encodes the rate-limiting enzyme involved in vitamin D metabolism, were shown to be correlated with MS. We aimed at investigating the association of CYP27B1 gene polymorphisms and vitamin D level with MS development in a sample of Lebanese MS patients living in the Bekaa region. Enrolled MS patients and controls were age and gender matched. Genotyping was performed by sequencing the amplified CYP27B1 PCR products. Vitamin D levels were measured using a VIDAS® 25 OH Vitamin D total assay based on enzyme linked fluorescent assay (ELFA). Chi-square and Mann-Whitney U tests were used for statistical analysis. A significant association was shown between vitamin D deficiency and MS without any association between CYP27B1 studied SNPs and the disease. We confirmed that vitamin D deficiency was associated with MS with no implication of the studied SNPs of CYP27B1 gene with disease susceptibility among the Lebanese MS patients living in the Bekaa region.

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Section: Allelic and Genotypic Frequencies Of Cyp27b1 Studied Snpsmentioning

confidence: 67%

Association of CYP27B1 Polymorphism and Vitamin D Levels with Multiple Sclerosis Development in Lebanese Population of Bekaa Region: A Preliminary Study

Braidy

Matar

Borjac

2021

GenApp

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“…Thus, our initial hypothesis does not hold for MS patients in the primary inflammatory stages of the disease, meaning that thickness alone was not able to discriminate patients according to these two MS profiles. However, the lack of discrimination between the two early stages of MS may be explained by the reduced number of patients in the CIS group and the high level of imbalance with respect to the RRMS profile, which represents the most common MS group ( Zahoor et al, 2017 ). Additionally, interesting results were obtained comparing multiple global metrics.…”

Section: Discussionmentioning

confidence: 99%

Classification of multiple sclerosis clinical profiles using machine learning and grey matter connectome

Barile

Ashtari

Stamile³

et al. 2022

Front. Robot. AI

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Purpose: The main goal of this study is to investigate the discrimination power of Grey Matter (GM) thickness connectome data between Multiple Sclerosis (MS) clinical profiles using statistical and Machine Learning (ML) methods.Materials and Methods: A dataset composed of 90 MS patients acquired at the MS clinic of Lyon Neurological Hospital was used for the analysis. Four MS profiles were considered, corresponding to Clinical Isolated Syndrome (CIS), Relapsing-Remitting MS (RRMS), Secondary Progressive MS (SPMS), and Primary Progressive MS (PPMS). Each patient was classified in one of these profiles by our neurologist and underwent longitudinal MRI examinations including T1-weighted image acquisition at each examination, from which the GM tissue was segmented and the cortical GM thickness measured. Following the GM parcellation using two different atlases (FSAverage and Glasser 2016), the morphological connectome was built and six global metrics (Betweenness Centrality (BC), Assortativity (r), Transitivity (T), Efficiency (Eg), Modularity (Q) and Density (D)) were extracted. Based on their connectivity metrics, MS profiles were first statistically compared and second, classified using four different learning machines (Logistic Regression, Random Forest, Support Vector Machine and AdaBoost), combined in a higher level ensemble model by majority voting. Finally, the impact of the GM spatial resolution on the MS clinical profiles classification was analyzed.Results: Using binary comparisons between the four MS clinical profiles, statistical differences and classification performances higher than 0.7 were observed. Good performances were obtained when comparing the two early clinical forms, RRMS and PPMS (F1 score of 0.86), and the two neurodegenerative profiles, PPMS and SPMS (F1 score of 0.72). When comparing the two atlases, slightly better performances were obtained with the Glasser 2016 atlas, especially between RRMS with PPMS (F1 score of 0.83), compared to the FSAverage atlas (F1 score of 0.69). Also, the thresholding value for graph binarization was investigated suggesting more informative graph properties in the percentile range between 0.6 and 0.8.Conclusion: An automated pipeline was proposed for the classification of MS clinical profiles using six global graph metrics extracted from the GM morphological connectome of MS patients. This work demonstrated that GM morphological connectivity data could provide good classification performances by combining four simple ML models, without the cost of long and complex MR techniques, such as MR diffusion, and/or deep learning architectures.

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“…The latter were often referred to as optico spinal/Asian form of MS. 14,15 In hindsight, these were more likely to have been NMOSD as currently defined. Table 1 summarizes the studies [16][17][18][19][20][21][22][23][24][25][26][27][28] done since 1999 that describes clinical and demographic features of MS in India. The earlier studies published between 1999 and 2005 used Poser's criteria 29 for diagnosis, but the majority of studies employed Mc Donald 2010 30 or 2017 31 criteria.…”

Section: Demographic and Clinical Features Of Multiple Sclerosismentioning

confidence: 99%

Epidemiology and clinical features of demyelinating disorders in India

Pandit

Mustafa

2021

Neurology & Clinical Neurosc

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In tropical countries like India, noncommunicable diseases have traditionally received less priority over infectious diseases. In recent times, however, demyelinating disorders of the central nervous system have become recognized as an important group of noncommunicable neurological disorders in India. It is possible that increasing awareness among doctors on one hand and availability of magnetic resonance imaging facilities (MRI) in teaching and private hospitals in the metropolitan cities of India on the other have contributed to early diagnosis and treatment.The study of demyelinating disorders of the nervous system in India has been limited by many factors. Kurtzke's 1 epidemiological studies pointed to India as having a low prevalence for multiple sclerosis (MS). Neuromyelitis optica (NMO) was considered a variant of MS. In the pre-MRI era, diagnosis of MS centered around clinical

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Demographic and clinical profile of Multiple Sclerosis in Kashmir: A short report

Cited by 9 publications

References 10 publications

Association of CYP27B1 Polymorphism and Vitamin D Levels with Multiple Sclerosis Development in Lebanese Population of Bekaa Region: A Preliminary Study

Association of CYP27B1 Polymorphism and Vitamin D Levels with Multiple Sclerosis Development in Lebanese Population of Bekaa Region: A Preliminary Study

Classification of multiple sclerosis clinical profiles using machine learning and grey matter connectome

Epidemiology and clinical features of demyelinating disorders in India

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