ArticleFrontiers in neurology2024
Identification and verification of autophagy-related gene signatures and their association with immune infiltration and drug responsiveness in epilepsy.
Article in Frontiers in neurology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
3 citing papers in PubMed.
- Exploratory Analysis of Autophagy-related Genes and Immune Infiltration in Human Hippocampal Tissue of Temporal Lobe Epilepsy.Molecular neurobiology · 2026Article
- Integrating weighted gene co-expression network analysis and machine learning reveal that NDUFA4L2 alleviates KA-induced HT22 cell neurotoxicity, apoptosis, oxidative stress, and mitochondrial dysfunction.Journal of bioenergetics and biomembranes · 2026Article
- Decoding astrocytic tryptophan metabolism in the pathogenesis of epilepsy: evidence from artificial intelligence-driven multi-omics and clinical validation.Frontiers in neuroscience · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Epilepsy, a common neurological disorder, is characterized by susceptibility to recurrent seizures. Increasing evidence suggests that autophagy plays a crucial role in the initiation and progression of epilepsy. However, the precise mechanisms by which autophagy deficiencies involved in epileptogenesis are still not fully understood. Methods: Two datasets of epilepsy (GSE143272 and GSE256068) were downloaded from the Gene Expression Omnibus (GEO) database. Differential expression genes (DEGs) analysis and weighted gene co-expression network analysis (WGCNA) were employed to screen for autophagy related differential expression genes (ARDEGs) in GSE143272 database. Subsequently, protein-protein interaction, transcription factors and miRNAs networks were constructed. Additionally, the functional enrichment analysis of Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) were applied. The hub ARDEGs were identified through CytoHubba, followed by the LASSO analysis. The Immune Cell Abundance Identifier (ImmuCellAI) was used to estimate peripheral immune cells abundance of epilepsy. Furthermore, the expression level of hub ARDEGs were detected in patients treated with different epilepsy monotherapies to explore the role of autophagy in the responsiveness of antiepileptic drug therapy. Finally, the expression level of hub ARDEGs were further validated in hippocampus of GSE256068 to enhance the reliability of the results. Results: Twenty ARDEGs in epilepsy were screened out by integrating DEGs and WGCNA analysis. KEGG enrichment analysis showed that the ARDEGs in epilepsy were not only involved in the autophagy, but also apoptosis, the NOD-like receptor signaling pathway, the neurotrophin signaling pathway, etc. Four hub ARDEGs (PIK3R1, TRIM21, TRIM22, and ITPR3) were screened through integrating CytoHubba plug and LASSO analysis. The immune infiltration analysis showed that there was a significantly increased abundance of macrophages and a decreased abundance of CD4 and CD8 T cells, including Tr1, nTreg, Tfh, CD8 naïve, cytotoxic T cells and effector memory T cells in the epilepsy group. Furthermore, the hub ARDEGs were significantly correlated with the abundance of differential immune cells. In expression level validation and anti-epileptic drug responsiveness analysis, PIK3R1 and ITPR3 had significant differences in the hippocampus of patients with epilepsy. PIK3R1 expression level was found to be related with carbamazepine resistance. Conclusion: This study elucidated the autophagy-related gene signatures in epilepsy and clarified their association with immune infiltration and anti-epileptic drug responsiveness, providing a novel target for future therapeutic interventions and disease markers in epilepsy.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.