Identification of Multiple Sclerosis key genetic factors through multi-staged data mining

Navaderi, Mohammad; Rajaei, Saeideh; Rahimirad, Samira; Harandi, Aysan Jafari; Ghaleh, Zahra; Falahati, Kowsar; Behgar, Zahra; Sedigh, Alireza Mirzaee; Sanati, Mohammad Hossein

doi:10.1016/j.msard.2019.101446

Cited by 5 publications

(3 citation statements)

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“…MiRNAs in this panel have known roles in cancer progression ( Che et al., 2019 ; Hsu et al., 2016 ; Huang et al., 2018 ; Kobayashi et al., 2012 ; Kohram et al., 2018 ; Li et al., 2011 , 2016 ; Ling et al., 2019 ; Lv et al., 2018 ; Mogilyansky and Rigoutsos, 2013 ), inflammation and inflammatory diseases ( Paraskevi et al., 2012 ; Reddycherla et al., 2015 ; Wu et al., 2011 ; Zheng et al., 2015 ), and neurodegeneration ( Basak et al, 2016 ; Denk et al., 2015 ; Jee et al., 2012b ; Khoo et al., 2012 ; Liu et al., 2017 ). These miRNAs have also been shown to target genes that have neuroinflammatory functions and roles in diseases with neuroinflammatory pathophysiology ( Cao et al., 2017 ; Lisha Chang et al., 2020 ; Gao et al., 2019 ; Gayen et al., 2020 ; Hu et al., 2019 ; Jee et al., 2012a ; Jiang et al., 2018 ; Ma et al., 2014 ; Mao et al., 2019 ; Martinez and Peplow, 2017 ; Naqvi et al., 2016 ; Navaderi et al., 2019 ; Peng and Ying, 2014 ; Shi et al., 2018 ; Sinha et al., 2012 ; Sujith et al., 2018 ; Thangaraj et al., 2021 ; Wang et al., 2021 ; Xie et al., 2020 ; Yang et al., 2018 ; Yao et al., 2014 ; Zhao et al., 2017 ; Zhong et al., 2021 ; Zhou et al., 2021 ). Post-hoc miRNA-gene network analyses further solidified the involvement of these nine miRNAs in mitochondrial processes and neuroinflammation (see Tables S6–S8 , Figures S6–S8 ).…”

Section: Discussionmentioning

confidence: 99%

A preliminary model of football-related neural stress that integrates metabolomics with transcriptomics and virtual reality

et al. 2022

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Research suggests contact sports affect neurological health. This study used permutation-based mediation statistics to integrate measures of metabolomics, neuroinflammatory miRNAs, and virtual reality (VR)-based motor control to investigate multi-scale relationships across a season of collegiate American football. Fourteen significant mediations (six pre-season, eight across-season) were observed where metabolites always mediated the statistical relationship between miRNAs and VR-based motor control (p perm Sobel % 0.05; total effect > 50%), suggesting a hypothesis that metabolites sit in the statistical pathway between transcriptome and behavior. Three results further supported a model of chronic neuroinflammation, consistent with mitochondrial dysfunction: (1) Mediating metabolites were consistently medium-to-long chain fatty acids, (2) tricarboxylic acid cycle metabolites decreased across-season, and (3) accumulated head acceleration events statistically moderated pre-season metabolite levels to directionally model post-season metabolite levels. These preliminary findings implicate potential mitochondrial dysfunction and highlight probable peripheral blood biomarkers underlying repetitive head impacts in otherwise healthy collegiate football athletes.

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Section: Discussionmentioning

confidence: 99%

A preliminary model of football-related neural stress that integrates metabolomics with transcriptomics and virtual reality

et al. 2022

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“…Firstly, the unique genetic backgrounds of the Asian population may contribute to the lower prevalence in Asia. A multiple pathway analysis had demonstrated that the expression levels of 14 genes in the 10 risk pathways of MS were different between Chinese patients and European/American patients with MS. Of the 14 genes, downregulation of 10 genes and upregulation of four genes were observed in European/American patients with MS; for Chinese patients, three genes were conversely regulated compared with those of European/American patients, and the remaining 11 genes were not dysregulated [24,25]. Secondly, in contrast with Western countries, Asian countries have a lower number of neurologists with specific expertise, a lower number of magnetic resonance imaging (MRI) machines available for diagnosis [22], and a lack of knowledge among patients [6].…”

Section: Discussionmentioning

confidence: 99%

Urban prevalence of multiple sclerosis in China: A population‐based study in six provinces

Chen

Wang

et al. 2021

Euro J of Neurology

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Background and purpose Multiple sclerosis (MS) is a rare neurological disease addressed by only few epidemiological studies in China. This population‐based study aimed to estimate the prevalence of MS in China by using national medical insurance databases. Methods Data from the Urban Employee Basic Medical Insurance database and the Urban Residence Basic Medical Insurance database, which were collected during 2012 to 2016 and included approximately 0.20 billion residents in six provinces, were used in this population‐based study. The prevalent patients with MS were identified via diagnostic text or disease codes. Results The crude prevalence in 2016 was 2.44 per 100,000 population (95% confidence interval (CI) 2.18–2.72), with the prevalence in females being higher than that in males. The standardized prevalence (based on 2010 Chinese census data) was 2.29 (95% CI 2.21–2.38). The prevalence in both sexes in 2016 increased up to the age range of 30–34 years. Subsequently, the female prevalence declined with increasing age, but male prevalence stabilized with increasing age. During the 5‐year time period, prevalence ranged from 2.32 (95% CI 2.06–2.60) in 2015 to 2.91 (95% CI 2.39–3.47) in 2012. Conclusions The prevalence of MS in China was lower than that in Europe and North America. The temporal trend of prevalence in China was also observed to be stable. As the first prevalence study of MS in mainland China, this population‐based study can provide useful information for worldwide healthcare services and prevention of MS.

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“…Among environmental factors, smoking, infections, and sunlight exposure are the most widely reported [4 -6]. Genetic factors related to MS are numerous and are believed to contribute to MS onset through various immunologically relevant genetic risk factors [7]. On one hand, HLA genes are believed to carry the strongest genetic risk variant for MS [8].…”

Section: Introductionmentioning

confidence: 99%

Non-HLA Genes and Multiple Sclerosis

Borjac¹,

Matar²,

Merheb³

et al. 2023

TOBIOTJ

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Multiple sclerosis (MS) is an autoimmune demyelinating disease of the central nervous system. Identification of genetic variants that pose risks to MS is of high interest since they contribute largely to disease pathogenesis. A rich body of literature associated these risks with variants of HLA genes located mostly on the short arm of chromosome 6 (6p21). These genetic variations may result in alteration in protein function and are associated, therefore, with disease phenotype and therapy outcome. Although the HLA region has been routinely known to have the strongest correlation with MS, other genes found within and outside HLA locus are considered risk factors for MS. The objective of this review is to shed light on the non-HLA genes implicated with multiple sclerosis. Due to the interplay between the polygenetic and environmental factors, along with their differential contribution and genetic heterogeneity among populations, it is extremely challenging to determine the contribution of the non-HLA genes to the outcome and onset of MS disease. We conclude that a better assemblage of genetic factors involved in MS can have a critical impact on the establishment of a genetic map of MS that allows proper investigation at the expression and functional levels.

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Identification of Multiple Sclerosis key genetic factors through multi-staged data mining

Cited by 5 publications

References 50 publications

A preliminary model of football-related neural stress that integrates metabolomics with transcriptomics and virtual reality

A preliminary model of football-related neural stress that integrates metabolomics with transcriptomics and virtual reality

Urban prevalence of multiple sclerosis in China: A population‐based study in six provinces

Non-HLA Genes and Multiple Sclerosis

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