ArticleActa neuropathologica communications2019
Transcriptome analysis of normal-appearing white matter reveals cortisol- and disease-associated gene expression profiles in multiple sclerosis.
Article in Acta neuropathologica communications, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 4 of them syntheses that pooled it.
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14 citing papers in PubMed, 4 syntheses or guidelines pooled it, 30 citations in OpenAlex.
- A Systematic Review of the Application of Graph Neural Networks to Extract Candidate Genes and Biological Associations.American journal of medical genetics. Part B, Neuropsychiatric genetics : the official publication of the International Society of Psychiatric Genetics · 2025Pooled it
- Genes, Gene Loci, and Their Impacts on the Immune System in the Development of Multiple Sclerosis: A Systematic Review.International journal of molecular sciences · 2024Pooled it
- Identification of Key Genes and Regulatory Pathways in Multiple Sclerosis Brain Samples: A Meta-Analysis of Micro-Array Datasets.International journal of molecular sciences · 2023Pooled it
- A Systematic Review of Tissue and Single Cell Transcriptome/Proteome Studies of the Brain in Multiple Sclerosis.Frontiers in immunology · 2022Pooled it
- Mapping Molecular Pathways of Multiple Sclerosis: A Gene Prioritization and Network Analysis of White Matter Pathology Transcriptomics.Annals of neurology · 2025Article
- Comparative targeted lipidomics between serum and cerebrospinal fluid of multiple sclerosis patients shows sex and age-specific differences of endocannabinoids and glucocorticoids.Acta neuropathologica communications · 2024Article
- In Silico Analysis Highlights Potential Predictive Indicators Associated with Secondary Progressive Multiple Sclerosis.International journal of molecular sciences · 2024Article
- Contribution of Age, Brain Region, Mood Disorder Pathology, and Interindividual Factors on the Methylome of Human Microglia.Biological psychiatry · 2022Article
- Brain macrophages acquire distinct transcriptomes in multiple sclerosis lesions and normal appearing white matter.Acta neuropathologica communications · 2022Article
- Gene expression data visualization tool on the o²S²PARC platform.F1000Research · 2022Article
- Alterations in Immune-Related Defensin Alpha 4 (International journal of inflammation · 2022Review
- Single-cell mass cytometry reveals complex myeloid cell composition in active lesions of progressive multiple sclerosis.Acta neuropathologica communications · 2020Article
- Article
- What Have Advances in Transcriptomic Technologies Taught us About Human White Matter Pathologies?Frontiers in cellular neuroscience · 2020Review
Corrections and comments
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Authors and funding
9 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Inter-individual differences in cortisol production by the hypothalamus-pituitary-adrenal (HPA) axis are thought to contribute to clinical and pathological heterogeneity of multiple sclerosis (MS). At the same time, accumulating evidence indicates that MS pathogenesis may originate in the normal-appearing white matter (NAWM). Therefore, we performed a genome-wide transcriptional analysis, by Agilent microarray, of post-mortem NAWM of 9 control subjects and 18 MS patients to investigate to what extent gene expression reflects disease heterogeneity and HPA-axis activity. Activity of the HPA axis was determined by cortisol levels in cerebrospinal fluid and by numbers of corticotropin-releasing neurons in the hypothalamus, while duration of MS and time to EDSS6 served as indicator of disease severity. Applying weighted gene co-expression network analysis led to the identification of a range of gene modules with highly similar co-expression patterns that strongly correlated with various indicators of HPA-axis activity and/or severity of MS. Interestingly, molecular profiles associated with relatively mild MS and high HPA-axis activity were characterized by increased expression of genes that actively regulate inflammation and by molecules involved in myelination, anti-oxidative mechanism, and neuroprotection. Additionally, group-wise comparisons of gene expression in white matter from control subjects and NAWM from (subpopulations of) MS patients uncovered disease-associated gene expression as well as strongly up- or downregulated genes in patients with relatively benign MS and/or high HPA-axis activity, with many differentially expressed genes being previously undescribed in the context of MS. Overall, the data suggest that HPA-axis activity strongly impacts on molecular mechanisms in NAWM of MS patients, but partly also independently of disease severity.
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