Pathogenesis and Therapeutic Targets of Focal Cortical Dysplasia Based on Bioinformatics Analysis

Kan, Ying; Feng, Lijuan; Si, Yukun; Zhou, Zhongwen; Wang, Wei; Yang, Jigang

doi:10.1007/s11064-022-03715-9

Cited by 4 publications

(3 citation statements)

References 71 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Data related to Tuberous Sclerosis and Epilepsy were obtained from the Gene Expression Omnibus (GEO) database ( 12 ). Specifically, we downloaded the datasets GSE16969 ( 13 ) and GSE62019 ( 14 ), as well as single cell sequencing data from GSE201048 ( 15 ) ( Supplementary Table 1 ). Lipid metabolism related pathways (LMRPs) were also sourced from the following PubMed articles: PMID35222371 ( 16 ), PMID36091041 ( 17 ), PMID36860853 ( 18 ), and PMID37469520 ( 19 ) ( Supplementary Table 2 ).…”

Section: Methodsmentioning

confidence: 99%

Identification of hub genes significantly linked to tuberous sclerosis related-epilepsy and lipid metabolism via bioinformatics analysis

Weiliang,

Yinghao,

Weiliang

et al. 2024

Front. Neurol.

View full text Add to dashboard Cite

BackgroundTuberous sclerosis complex (TSC) is one of the most common genetic causes of epilepsy. Identifying differentially expressed lipid metabolism related genes (DELMRGs) is crucial for guiding treatment decisions.MethodsWe acquired tuberous sclerosis related epilepsy (TSE) datasets, GSE16969 and GSE62019. Differential expression analysis identified 1,421 differentially expressed genes (DEGs). Intersecting these with lipid metabolism related genes (LMRGs) yielded 103 DELMRGs. DELMRGs underwent enrichment analyses, biomarker selection, disease classification modeling, immune infiltration analysis, weighted gene co-expression network analysis (WGCNA) and AUCell analysis.ResultsIn TSE datasets, 103 DELMRGs were identified. Four diagnostic biomarkers (ALOX12B, CBS, CPT1C, and DAGLB) showed high accuracy for epilepsy diagnosis, with an AUC value of 0.9592. Significant differences (p < 0.05) in Plasma cells, T cells regulatory (Tregs), and Macrophages M2 were observed between diagnostic groups. Microglia cells were highly correlated with lipid metabolism functions.ConclusionsOur research unveiled potential DELMRGs (ALOX12B, CBS, CPT1C and DAGLB) in TSE, which may provide new ideas for studying the psathogenesis of epilepsy.

show abstract

Section: Methodsmentioning

confidence: 99%

Identification of hub genes significantly linked to tuberous sclerosis related-epilepsy and lipid metabolism via bioinformatics analysis

Weiliang,

Yinghao,

Weiliang

et al. 2024

Front. Neurol.

View full text Add to dashboard Cite

show abstract

“…The above-mentioned studies, which merely demonstrate changes in the peripheral abundance of Tregs among patients with epilepsy, subsequently prompted researchers to examine the effects of this intriguing immune cell type within the CNS of epilepsy patients, where the majority of tissue damage and inflammation is localized. A bioinformatics study by Kan et al, 60 on a microarray dataset obtained using cortical samples from a small group of patients who had undergone resection of the seizure focus as treatment for focal cortical dysplasia, suggested slightly higher levels of brain infiltrated Tregs in the group with focal cortical dysplasia. Also, Xu et al noticed a substantial number of infiltrated CD4 + , CD8 + , and γδ T cells in the epileptic lesions of drug-resistant pediatric epilepsy patients suffering from focal cortical dysplasia and encephalomalacia.…”

Section: Type Of Epilepsymentioning

confidence: 99%

“…67 In conclusion, several studies observed a direct increase in the number of Tregs in the brain of patients with epilepsy. 22,33,60 Some studies also demonstrated an increase in IL-10, a cytokine secreted by Tregs. 29,32,62 Moreover, the number of Tregs negatively correlated with seizure burden in human subjects.…”

Section: Type Of Epilepsymentioning

confidence: 99%

Regulatory T cells as a possible new target in epilepsy?

Hendrix,

Vande Vyver,

Holt

et al. 2024

Epilepsia

View full text Add to dashboard Cite

Epilepsy is a complex chronic brain disorder with diverse clinical features that can be caused by various triggering events, such as infections, head trauma, or stroke. During epileptogenesis, various abnormalities are observed, such as altered cellular homeostasis, imbalance of neurotransmitters, tissue changes, and the release of inflammatory mediators, which in combination lead to spontaneous recurrent seizures. Regulatory T cells (Tregs), a subtype of CD4+Foxp3+ T cells, best known for their key function in immune suppression, also seem to play a role in attenuating neurodegeneration and suppressing pathological inflammation in several brain disease states. Considering that epilepsy is also highly associated with neuronal damage and neuroinflammation, modulation of Tregs may be an interesting way to modify the disease course of epilepsy and needs further investigation. In this review, we will describe the currently available information on Tregs in epilepsy.

show abstract

The Interplay Between Epilepsy and Parkinson’s Disease: Gene Expression Profiling and Functional Analysis

Wu,

Wang,

Wang

et al. 2024

Mol Biotechnol

View full text Add to dashboard Cite

Pathogenesis and Therapeutic Targets of Focal Cortical Dysplasia Based on Bioinformatics Analysis

Cited by 4 publications

References 71 publications

Identification of hub genes significantly linked to tuberous sclerosis related-epilepsy and lipid metabolism via bioinformatics analysis

Identification of hub genes significantly linked to tuberous sclerosis related-epilepsy and lipid metabolism via bioinformatics analysis

Regulatory T cells as a possible new target in epilepsy?

The Interplay Between Epilepsy and Parkinson’s Disease: Gene Expression Profiling and Functional Analysis

Contact Info

Product

Resources

About