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pmid:34722763

Identification and Validation of a Dysregulated miRNA-Associated mRNA Network in Temporal Lobe Epilepsy.

Xing Li · Yunli Han · Dejun Li · Hai Yuan · Shiqin Huang · Xiaolan Chen · Yuanhan Qin

BioMed research international · 2021 doi:10.1155/2021/4118216

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Identification and Validation of a Dysregulated miRNA-Associated mRNA Network in Temporal Lobe Epilepsy.
doi
10.1155/2021/4118216
pmid
34722763
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Xing Li
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Yunli Han
[2]
Dejun Li
[3]
Hai Yuan
[4]
Shiqin Huang
[5]
Xiaolan Chen
[6]
Yuanhan Qin
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BioMed research international
year
2021
abstract
OBJECTIVES: This study is aimed at exploring the relationships between miRNAs and mRNAs and to characterize their biological functions in temporal lobe epilepsy (TLE). METHODS: Novel clinical significant miRNAs and target genes and their potential underlying mechanisms have been discovered and explored by mining miRNAs and mRNA expression data of TLE patients using various bioinformatics methods. Reverse transcription-quantitative polymerase chain reaction (RT-qPCR) was used to validate the bioinformatic analysis results. RESULTS: A total of 6 dysregulated miRNAs and 442 differentially expressed genes (DEGs) related to TLE were obtained from GEO database (GSE114701 and GSE127871 datasets). A protein-protein interaction (PPI) network containing the 442 DEGs was established. mRNA response elements from the 6 dysregulated miRNAs were predicted using the miRDB and TargetScan bioinformatic tools. By merging the identified targets of the dysregulated miRNAs and the 247 downregulated DEGs, a miRNA-mRNA network was constructed revealing the interaction of miR-484 with eight mRNAs (ABLIM2, CEP170B, CTD-3193O13.9, EFNA5, GAP43, PRKCB, FXYD7, and NCAN). A weighted correlation network analysis (WGCNA) based on the eight genes was established and demonstrated that these mRNAs, except FXYD7 and NCAN, were hub genes in the network. Gene Oncology (GO) annotation and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis revealed that the six hub genes were mainly involved in cellular-related biological functions and the neurotransmitter synapse pathway. The differences in expression levels of the miR-484 and the three hub genes (CTD-3193O13.9, EFNA5, and PRKCB) observed experimentally in TLE patients compared to those of healthy controls were consistent with the WGCNA prediction. CONCLUSION: Our study suggests that understanding the miRNA-mRNA interactions will provide insights into the epilepsy pathogenesis. In addition, our results indicate that miR-484 may be a promising novel biomarker for TLE.
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{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:34722763", "kind": "science-record", "revision": 5, "content_hash": "sha256:9dc52a5b1b7f2b89500a9de717d951d286a08de5a31eb046576fd6c18c42efa5", "created_at": "2026-11-01T17:36:24Z", "updated_at": "2026-11-01T22:47:48Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Identification and Validation of a Dysregulated miRNA-Associated mRNA Network in Temporal Lobe Epilepsy.", "doi": "10.1155/2021/4118216", "pmid": "34722763", "authors": ["Xing Li", "Yunli Han", "Dejun Li", "Hai Yuan", "Shiqin Huang", "Xiaolan Chen", "Yuanhan Qin"], "journal": "BioMed research international", "year": 2021, "abstract": "OBJECTIVES: This study is aimed at exploring the relationships between miRNAs and mRNAs and to characterize their biological functions in temporal lobe epilepsy (TLE).\nMETHODS: Novel clinical significant miRNAs and target genes and their potential underlying mechanisms have been discovered and explored by mining miRNAs and mRNA expression data of TLE patients using various bioinformatics methods. Reverse transcription-quantitative polymerase chain reaction (RT-qPCR) was used to validate the bioinformatic analysis results.\nRESULTS: A total of 6 dysregulated miRNAs and 442 differentially expressed genes (DEGs) related to TLE were obtained from GEO database (GSE114701 and GSE127871 datasets). A protein-protein interaction (PPI) network containing the 442 DEGs was established. mRNA response elements from the 6 dysregulated miRNAs were predicted using the miRDB and TargetScan bioinformatic tools. By merging the identified targets of the dysregulated miRNAs and the 247 downregulated DEGs, a miRNA-mRNA network was constructed revealing the interaction of miR-484 with eight mRNAs (ABLIM2, CEP170B, CTD-3193O13.9, EFNA5, GAP43, PRKCB, FXYD7, and NCAN). A weighted correlation network analysis (WGCNA) based on the eight genes was established and demonstrated that these mRNAs, except FXYD7 and NCAN, were hub genes in the network. Gene Oncology (GO) annotation and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis revealed that the six hub genes were mainly involved in cellular-related biological functions and the neurotransmitter synapse pathway. The differences in expression levels of the miR-484 and the three hub genes (CTD-3193O13.9, EFNA5, and PRKCB) observed experimentally in TLE patients compared to those of healthy controls were consistent with the WGCNA prediction.\nCONCLUSION: Our study suggests that understanding the miRNA-mRNA interactions will provide insights into the epilepsy pathogenesis. In addition, our results indicate that miR-484 may be a promising novel biomarker for TLE.", "claims": [{"id": "claim-data-access", "statement": "The datasets generated and analyzed during the current study are publicly available in the GEO database (under accession code: GSE114701 and GSE127871). All the other raw data could be accessed by contacting the corresponding author if any qualified researcher needs it.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:34722763", "locator": "sections[22] \"Data Availability\" paragraph 2", "quote": "The datasets generated and analyzed during the current study are publicly available in the GEO database (under accession code: GSE114701 and GSE127871). All the other raw data could be accessed by contacting the corresponding author if any qualified researcher needs it."}], "state": "complete"}, {"id": "claim-target-result", "statement": "A total of 6 dysregulated miRNAs and 442 differentially expressed genes (DEGs) related to TLE were obtained from GEO database (GSE114701 and GSE127871 datasets).", "kind": "qualitative", "target": null, "evidence": [{"asset": "source:pmid:34722763", "locator": "sections[0] \"Abstract\" paragraph 3", "quote": "A total of 6 dysregulated miRNAs and 442 differentially expressed genes (DEGs) related to TLE were obtained from GEO database (GSE114701 and GSE127871 datasets)."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "complete", "objective": "A total of 6 dysregulated miRNAs and 442 differentially expressed genes (DEGs) related to TLE were obtained from GEO database (GSE114701 and GSE127871 datasets).", "steps": [{"id": "read_published_estimate", "order": 1, "name": "Read the published estimate from the source", "kind": "other", "state": "complete", "blocked_on": null, "description": "The claim, method and evidence span published with the source article.", "duration_hours": null, "parameters": {}, "inputs": ["source:pmid:34722763"], "outputs": ["the published estimate and its evidence"], "instruments": [], "reagents": []}, {"id": "obtain_source_data", "order": 2, "name": "Obtain the source data from the named repository", "kind": "data-preparation", "state": "complete", "blocked_on": null, "description": "The GEO series accession resolves and its sample accessions are listed. 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