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

Wang Weiliang; Ren Yinghao; Hou Weiliang; Zhang Xiaobin; Yang Chenglong; An Weimiao; Xu Fei; Wang Fengpeng

doi:10.3389/fneur.2024.1354062

Frontiers in Neurology (Feb 2024)

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

Wang Weiliang,
Ren Yinghao,
Hou Weiliang,
Zhang Xiaobin,
Yang Chenglong,
An Weimiao,
Xu Fei,
Wang Fengpeng

Affiliations

Wang Weiliang: Epilepsy Center, Xiamen Humanity Hospital Fujian Medical University, Xiamen, Fujian, China
Ren Yinghao: Department of Dermatology, Xiamen Humanity Hospital Fujian Medical University, Xiamen, Fujian, China
Hou Weiliang: Department of Neurosurgery, Huashan Hospital, Shanghai Medical College, State Key Laboratory of Medical Neurobiology, Ministry of Education Frontiers Center for Brain Science and Institutes of Brain Science, Fudan University, Shanghai, China
Zhang Xiaobin: Epilepsy Center, Xiamen Humanity Hospital Fujian Medical University, Xiamen, Fujian, China
Yang Chenglong: Department of Neurosurgery, The Cancer Hospital of Harbin Medical University, Harbin, Heilongjiang, China
An Weimiao: Epilepsy Center, Xiamen Humanity Hospital Fujian Medical University, Xiamen, Fujian, China
Xu Fei: Department of Pharmacogenomics, College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China
Wang Fengpeng: Epilepsy Center, Xiamen Humanity Hospital Fujian Medical University, Xiamen, Fujian, China

DOI: https://doi.org/10.3389/fneur.2024.1354062
Journal volume & issue: Vol. 15

Abstract

Read online

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.

Published in Frontiers in Neurology

ISSN: 1664-2295 (Online)
Publisher: Frontiers Media S.A.
Country of publisher: Switzerland
LCC subjects: Medicine: Internal medicine: Neurosciences. Biological psychiatry. Neuropsychiatry: Neurology. Diseases of the nervous system
Website: https://www.frontiersin.org/journals/neurology/

About the journal

Abstract

Keywords