Classical neuroinflammatory diseases, including multiple sclerosis and neuromyelitis optica spectrum diseases, result from immune dysregulation affecting CNS function. There is a growing awareness that a similar process is involved in neurodegenerative diseases, stroke, and other CNS and PNS disorders. Despite the different etiologies, such as genetic mutations, environmental factors, infections, stress, and protein aggregations, neuronal damage is frequently associated with chronic activation of an immune response in the CNS or PNS. Understanding the mechanism of immunity and neuroinflammation involved in these neurologic disorders may help us to better manage patients and improve their prognosis. Furthermore, genetic research such as genome-wide association studies (GWAS), next-generation sequencing, and multi-omics data, have identified many risk variants, genes, and pathways that can effectively provide important information on neuro-immune molecular mechanisms.
In this Research Topic, we aim to shed light on the role of immunity and neuroinflammation in neurological disorders including, neuroimmune inflammatory diseases of CNS and PNS, stroke, and neurodegenerative diseases. In addition, we also focus on genetic studies on neurological disorders using bioinformatics methods. Within this section, we welcome submissions of:
• Original research
• Systematic reviews
• Brief Research Report
Areas of interest for this Topic include, but are not limited to:
• Neuroimmune molecular mechanism in neurological disorders, such as neuroimmune inflammatory diseases of CNS and PNS, stroke, and neurodegenerative disorders.
• Neuroimmune-related biomarkers in assessing the status of immune function and predicting the outcome of Neurological disorders.
• Immunotherapy of neurological diseases.
• Bioinformatics analysis of neurological diseases, for example, GWAS, expression quantitative trait loci analysis (eQTLs), protein quantitative trait locus (pQTLs), methylation quantitative trait locus (mQTLs).
• Pathway analysis, Mendelian randomization analysis, and meta-analysis utilizing GWAS, eQTLs, pQTLs, and mQTLs.
• Identification of the etiology of neurological disorders by integrating multi-omics data.
Classical neuroinflammatory diseases, including multiple sclerosis and neuromyelitis optica spectrum diseases, result from immune dysregulation affecting CNS function. There is a growing awareness that a similar process is involved in neurodegenerative diseases, stroke, and other CNS and PNS disorders. Despite the different etiologies, such as genetic mutations, environmental factors, infections, stress, and protein aggregations, neuronal damage is frequently associated with chronic activation of an immune response in the CNS or PNS. Understanding the mechanism of immunity and neuroinflammation involved in these neurologic disorders may help us to better manage patients and improve their prognosis. Furthermore, genetic research such as genome-wide association studies (GWAS), next-generation sequencing, and multi-omics data, have identified many risk variants, genes, and pathways that can effectively provide important information on neuro-immune molecular mechanisms.
In this Research Topic, we aim to shed light on the role of immunity and neuroinflammation in neurological disorders including, neuroimmune inflammatory diseases of CNS and PNS, stroke, and neurodegenerative diseases. In addition, we also focus on genetic studies on neurological disorders using bioinformatics methods. Within this section, we welcome submissions of:
• Original research
• Systematic reviews
• Brief Research Report
Areas of interest for this Topic include, but are not limited to:
• Neuroimmune molecular mechanism in neurological disorders, such as neuroimmune inflammatory diseases of CNS and PNS, stroke, and neurodegenerative disorders.
• Neuroimmune-related biomarkers in assessing the status of immune function and predicting the outcome of Neurological disorders.
• Immunotherapy of neurological diseases.
• Bioinformatics analysis of neurological diseases, for example, GWAS, expression quantitative trait loci analysis (eQTLs), protein quantitative trait locus (pQTLs), methylation quantitative trait locus (mQTLs).
• Pathway analysis, Mendelian randomization analysis, and meta-analysis utilizing GWAS, eQTLs, pQTLs, and mQTLs.
• Identification of the etiology of neurological disorders by integrating multi-omics data.
