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pmid:38760670
Integrated bioinformatics analysis for exploring potential biomarkers related to Parkinson's disease progression.
Zhenchao Huang · En'peng Song · Zhijie Chen · Peng Yu · Weiwen Chen · Huiqin Lin
BMC medical genomics · 2024 doi:10.1186/s12920-024-01885-9
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Experiment
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Data
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Analysis
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Execution
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Complete file
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Exploring key molecular markers and mechanisms for PD can help with early diagnosis and treatment improvement.\nMETHODS: Three datasets GSE174052, GSE77668, and GSE168496 were obtained from the GEO database to search differentially expressed circRNA (DECs), miRNAs (DEMis), and mRNAs (DEMs). GO and KEGG enrichment analyses, and protein-protein interaction (PPI) network construction were implemented to explore possible actions of DEMs. Hub genes were selected to establish circRNA-related competing endogenous RNA (ceRNA) networks.\nRESULTS: There were 1005 downregulated DECs, 21 upregulated and 21 downregulated DEMis, and 266 upregulated and 234 downregulated DEMs identified. The DEMs were significantly enriched in various PD-associated functions and pathways such as extracellular matrix organization, dopamine synthesis, PI3K-Akt, and calcium signaling pathways. Twenty-one hub genes were screened out, and a PD-related ceRNA regulatory network was constructed containing 31 circRNAs, one miRNA (miR-371a-3p), and one hub gene (KCNJ6).\nCONCLUSION: We identified PD-related molecular markers and ceRNA regulatory networks, providing new directions for PD diagnosis and treatment.", "claims": [{"id": "claim-method", "statement": "DECs, DEMis, and DEMs between PD and control samples were screened using the online software GEO2R (https://www.ncbi.nlm.nih.gov/geo/geo2r/). 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