{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,18]],"date-time":"2026-08-18T04:21:25Z","timestamp":1787026885124,"version":"build-2736575974"},"reference-count":47,"publisher":"Frontiers Media SA","license":[{"start":{"date-parts":[[2025,4,2]],"date-time":"2025-04-02T00:00:00Z","timestamp":1743552000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["frontiersin.org"],"crossmark-restriction":true},"short-container-title":["Front. Neurosci."],"abstract":"<jats:sec>\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>Ferroptosis is a form of regulated cell death that damages neurons in the central nervous system. In this study, we aimed to construct ferroptosis-related gene signatures in temporal lobe epilepsy with hippocampal sclerosis (TLE-HS) and explore their diagnostic role in TLE-HS.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>The GSE205661 dataset was acquired for training purposes, while the GSE71058 was obtained to serve as the validation dataset. Subsequently, ferroptosis-related differentially expressed genes (FR-DEGs) in TLE-HS were further analyzed. We used weighed gene co-expression network analysis (WGCNA) algorithm, single-factor logistic regression analysis, and LASSO algorithm to screen characteristic FR-DEGs. Then, the receiver operating characteristic (ROC) was used to evaluate the value of these characteristic genes in disease diagnosis. Finally, a long non-coding RNA (lncRNA)\u2013microRNA (miRNA)\u2013messenger RNA (mRNA) network was constructed.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      We identified 141 FR-DEGs in TLE-HS, and these genes were enriched in T-cell activation involved in immune response and signaling pathways related to lipids and atherosclerosis. Further WGCNA was performed to select 47 overlapping FR-DEGs, which were significantly enriched in 13 biological processes and 14 Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways, including the negative regulation of apoptotic process and ferroptosis. Four genes, namely\n                      <jats:italic>PDK4<\/jats:italic>\n                      ,\n                      <jats:italic>SMPD1<\/jats:italic>\n                      ,\n                      <jats:italic>GPT2<\/jats:italic>\n                      , and\n                      <jats:italic>METTL14<\/jats:italic>\n                      , were identified as signature genes in TLE-HS. Moreover, the ROC derived from the four genes in GSE205661 and GSE71058 for predicting TLE-HS had an area under the curve (AUC) of 0.988 and 0.929, respectively. Furthermore, the lncRNA\u2013miRNA\u2013mRNA network constructed from the 4 FR-DEGs consisted of 5 lncRNAs and 14 miRNAs. The signatures based on four FR-DEGs were found to be a strong predictor of TLE-HS, and they may represent valuable therapeutic targets for TLE-HS.\n                    <\/jats:p>\n                  <\/jats:sec>","DOI":"10.3389\/fnins.2025.1530182","type":"journal-article","created":{"date-parts":[[2025,4,2]],"date-time":"2025-04-02T02:34:42Z","timestamp":1743561282000},"update-policy":"https:\/\/doi.org\/10.3389\/crossmark-policy","source":"Crossref","is-referenced-by-count":3,"title":["Identification of ferroptosis-related gene signatures in temporal lobe epilepsy with hippocampal sclerosis"],"prefix":"10.3389","volume":"19","author":[{"given":"Fan","family":"Gao","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jinzi","family":"Li","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1965","published-online":{"date-parts":[[2025,4,2]]},"reference":[{"key":"ref1","doi-asserted-by":"publisher","first-page":"e11","DOI":"10.1017\/erm.2024.11","article-title":"The multifaceted functions of long non-coding RNA HOTAIR in neuropathologies and its potential as a prognostic marker and therapeutic biotarget","volume":"26","author":"Ahmad","year":"","journal-title":"Expert Rev. 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