biostudies-literaturePappu MAAKing Salman Center for Disability Research1459https://www.ebi.ac.uk/biostudies/studies/S-EPMC12732698biostudies-literatureUnknown16(12)<b>Background:</b> Parkinson's disease (PD) is a complex neurodegenerative disorder in aged people with multifaceted molecular underpinnings. It poses a severe threat to millions of older adults worldwide. The understanding of the molecular mechanisms of PD development and the performance of its therapeutic strategies has not yet reached a satisfactory level. <b>Methods:</b> This study integrated six transcriptomic datasets to uncover key genes (KGs) and their underlying pathogenic mechanisms, providing insights into potential therapeutic strategies for PD. We designed a comprehensive computational pipeline using various bioinformatics tools and databases to investigate PD-causing KGs, focusing on their functions, pathways, regulatory mechanisms, and potential therapeutic drug molecules. <GenesMulti-Transcriptome-Informed Network Pharmacology Reveals Novel Biomarkers and Therapeutic Candidates for Parkinson's Disease.PMC12732698KSRG-2024-120Hossain MSNoman MAAzad AMollah MNHAhmed MFLatif MAAlyami SAAlotaibi NSultana MHFaysal MFPappu MAAAlamin MfalseMulti-Transcriptome-Informed Network Pharmacology Reveals Novel Biomarkers and Therapeutic Candidates for Parkinson's Disease.<b>Background:</b> Parkinson's disease (PD) is a complex neurodegenerative disorder in aged people with multifaceted molecular underpinnings. It poses a severe threat to millions of older adults worldwide. The understanding of the molecular mechanisms of PD development and the performance of its therapeutic strategies has not yet reached a satisfactory level. <b>Methods:</b> This study integrated six transcriptomic datasets to uncover key genes (KGs) and their underlying pathogenic mechanisms, providing insights into potential therapeutic strategies for PD. We designed a comprehensive computational pipeline using various bioinformatics tools and databases to investigate PD-causing KGs, focusing on their functions, pathways, regulatory mechanisms, and potential therapeutic drug molecules. <2025-01-01T00:00:00Z2025 Dec2026-05-28T03:16:51.029Z2026-05-28T03:10:58.774ZS-EPMC127326984146513210.3390/genes16121459