ArticleHereditas2025
Screening, identification, and experimental validation of SUMOylation biomarkers in Parkinson's disease.
Article in Hereditas, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- FOXM1 downregulation contributes to sevoflurane-induced microglial dysfunction via transcriptional downregulation of RGS10.Experimental brain research · 2026Article
- SUMOylation in Mitochondrial Quality Control: Mechanisms and Implications for Neurodegenerative Disease.Molecular neurobiology · 2026Review
- Clinical role of miR-1271-5p in severe pediatric pneumonia and its prognostic value.BMC immunology · 2026Article
- Integrative multi-omics identifiesPsychological medicine · 2026Article
- A neuron-distributed DEK integrates ac4C modification and neuroinflammation in pathogenesis of Parkinson disease: evidence from Mendelian randomization, multi-omics andFrontiers in neuroscience · 2026Article
- Immunosenescence and inflammaging in Parkinson's disease: mechanisms and therapeutic prospects.Frontiers in immunology · 2026Review
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Authors and funding
12 authors.
Funding
Abstract
backgroundParkinson's disease (PD) is a common neurodegenerative disorder. The role of protein post-translational modifications (PTMs), especially small ubiquitin-like modifier (SUMO) conjugation (SUMOylation), in PD pathogenesis remains unclear. This study aimed to investigate the relationship between SUMOylation and PD.
methodsThe analysis included the GSE22491 dataset, GSE18838 dataset, and 189 SUMO related genes. Differentially expressed genes (DEGs) between the PD group and the control group were identified in GSE22491; these were then intersected with SUMO related genes to identify candidate genes. Machine learning was used to select biomarkers consistent across both datasets, which were validated in GSE6631. Further analyses included back propagation (BP) neural network analysis, enrichment analysis, immune infiltration analysis, regulatory network construction, drug prediction, and molecular docking. Reverse transcription-quantitative polymerase chain reaction (RT-qPCR) was used to validate the biomarkers.
resultsAn overlap analysis of 3,222 DEGs and 189 SUMO related genes identified 25 candidate genes. Subsequent validation using the GSE22491 and GSE18838 datasets narrowed these biomarkers down to SUMO3 and SEH1L, which are involved in pathways (such as the nuclear pore pathway) associated with PD. Significant positive correlations were observed between specific immune cell subtypes and both biomarkers. Based on these correlations, relevant transcription factors (ZNF394, IRF4, FOXM1, EGR1) and drugs (Cianidanol, Methylmethanesulfonate, Valproic acid) were predicted. Additionally, RT-qPCR results confirmed that SUMO3 is significantly downregulated in PD.
conclusionSUMO3 and SEH1L were identified as novel biomarkers for PD, offering potential targets for early diagnosis and therapy in PD.
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Registered trials
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