Genetic Insights into Therapeutic Targets for Neuromyelitis Optica Spectrum Disorders: A Mendelian Randomization Study
- PMID: 39565569
- DOI: 10.1007/s12035-024-04612-8
Genetic Insights into Therapeutic Targets for Neuromyelitis Optica Spectrum Disorders: A Mendelian Randomization Study
Abstract
Neuromyelitis optica spectrum disorder (NMOSD) is a severe central nervous system disease primarily characterized by optic neuritis and myelitis, which can result in vision loss and limb paralysis. Current treatment options are limited in their ability to prevent relapses and mitigate disease progression, underscoring the urgent need for new drug targets to develop more effective therapies. The objective of this study is to identify potential drug targets associated with a reduced risk of NMOSD attacks or relapses through Mendelian randomization (MR) analysis, thereby addressing the limitations of existing treatment methods and providing better clinical options for patients. To identify therapeutic targets for NMOSD, a MR analysis was conducted. The cis-expression quantitative trait loci (cis-eQTL, exposure) data were sourced from the eQTLGen consortium, which included a sample size of 31,684. NMOSD (outcome) summary data were obtained from two of the largest independent cohorts: one cohort consisted of 86 NMOSD cases and 460 controls derived from whole-genome sequencing data, while the other cohort included 129 NMOSD patients and 784 controls. We performed a two-sample MR analysis to evaluate the association between single nucleotide polymorphisms (SNPs) and copy number variations with NMOSD. The MR analysis utilized the inverse variance weighted (IVW) method, supplemented by MR-Egger, weighted median, simple mode, and weighted mode methods. Sensitivity analyses were conducted to assess the presence of horizontal pleiotropy and heterogeneity. Colocalization analysis was employed to test whether NMOSD risk and gene expression are driven by common SNPs. Additionally, a phenome-wide association study (PheWAS) was performed to detect disease outcomes associated with NEU1. Supplementary analyses included single-nucleus RNA sequencing (snRNA-seq) data analysis, protein-protein interaction (PPI) networks, and drug feasibility assessments to prioritize potential therapeutic targets. Two drug targets, COL4A1 and NEU1, demonstrated significant MR results in two independent datasets. Notably, NEU1 showed substantial evidence of colocalization with NMOSD. Additionally, apart from the association between NEU1 and NMOSD, no other associations were observed between gene-proxied NEU1 inhibition and the increased risk of other NMOSD-related diseases. This study supports the potential of targeting NEU1 for drug inhibition to reduce the risk of NMOSD. Further preclinical research and drug development are warranted to validate the efficacy and safety of NEU1 as a therapeutic target and to explore its potential in NMOSD treatment.
Keywords: Drug; Genetics; Mendelian randomization; Neuromyelitis optica spectrum disorders.
© 2024. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.
Conflict of interest statement
Declarations. Ethical Approval: Not applicable. Consent to Participate: Not applicable. Consent for Publication: Not applicable. Competing Interests: The authors declare no competing interests.
Similar articles
-
Potential drug targets for Neuromyelitis optica spectrum disorders (NMOSD): A Mendelian randomization analysis.PLoS One. 2025 Apr 28;20(4):e0322098. doi: 10.1371/journal.pone.0322098. eCollection 2025. PLoS One. 2025. PMID: 40294019 Free PMC article.
-
Effect of L-Carnitine Level on the Risk of Neuromyelitis Optica Spectrum Disorders: A Two-Sample Mendelian Randomization Study.Mol Neurobiol. 2025 Apr;62(4):5133-5142. doi: 10.1007/s12035-024-04607-5. Epub 2024 Nov 8. Mol Neurobiol. 2025. PMID: 39514170
-
COVID-19 and the risk of neuromyelitis optica spectrum disorder: a Mendelian randomization study.Front Immunol. 2023 Jul 27;14:1207514. doi: 10.3389/fimmu.2023.1207514. eCollection 2023. Front Immunol. 2023. PMID: 37575255 Free PMC article.
-
Therapeutic options in neuromyelitis optica spectrum disorders.Expert Rev Neurother. 2016;16(3):319-29. doi: 10.1586/14737175.2016.1150178. Expert Rev Neurother. 2016. PMID: 26840802 Review.
-
[Progress in the treatment of neuromyelitis optica spectrum disorders related optic neuritis].Zhonghua Yan Ke Za Zhi. 2020 Jul 11;56(7):539-543. doi: 10.3760/cma.j.cn112142-20190703-00363. Zhonghua Yan Ke Za Zhi. 2020. PMID: 32842338 Review. Chinese.
Cited by
-
Repeated sevoflurane exposure causes hypomyelination in the prefrontal cortex of adult male mice.Sci Rep. 2025 Jan 9;15(1):1546. doi: 10.1038/s41598-025-85834-1. Sci Rep. 2025. PMID: 39789243 Free PMC article.
-
Potential drug targets for Neuromyelitis optica spectrum disorders (NMOSD): A Mendelian randomization analysis.PLoS One. 2025 Apr 28;20(4):e0322098. doi: 10.1371/journal.pone.0322098. eCollection 2025. PLoS One. 2025. PMID: 40294019 Free PMC article.
References
-
- Kessler RA, Mealy MA, Levy M (2016) Treatment of neuromyelitis optica spectrum disorder: acute, preventive, and symptomatic. Curr Treat Options Neurol 18(1):2. https://doi.org/10.1007/s11940-015-0387-9 - DOI - PubMed - PMC
-
- Jarius S, Wildemann B, Paul F (2014) Neuromyelitis optica: clinical features, immunopathogenesis and treatment. Clin Exp Immunol 176(2):149–164. https://doi.org/10.1111/cei.12271 - DOI - PubMed - PMC
-
- Etemadifar M, Nasr Z, Khalili B, Taherioun M, Vosoughi R (2015) Epidemiology of neuromyelitis optica in the world: a systematic review and meta-analysis. Mult Scler Int 2015:174720. https://doi.org/10.1155/2015/174720 - DOI - PubMed - PMC
-
- Kowarik MC, Soltys J, Bennett JL (2014) The treatment of neuromyelitis optica. J Neuroophthalmol 34(1):70–82. https://doi.org/10.1097/wno.0000000000000102 - DOI - PubMed - PMC
-
- Kleiter I, Gold R (2016) Present and future therapies in neuromyelitis optica spectrum disorders. Neurotherapeutics 13(1):70–83. https://doi.org/10.1007/s13311-015-0400-8 - DOI - PubMed
MeSH terms
LinkOut - more resources
Full Text Sources