ArticleHeliyon2025
Glycolytic pathways: The hidden regulators in Parkinson's disease.
Article in Heliyon, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
2 citing papers in PubMed.
- Exploring Endoplasmic Reticulum Stress-Related Genes in Cartilage Defects: Implications for Diagnosis and Therapy.Combinatorial chemistry & high throughput screening · 2026Article
- Exploring the gut microbiota-Parkinson's disease link: preliminary insights from metagenomics and Mendelian randomization.Frontiers in microbiology · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Parkinson's disease (PD) is a widespread neurodegenerative condition [1]; however, its association with glycolysis, specifically the activity of genes related to glycolysis, has not yet been explored. We downloaded 3 datasets related to PD from the GEO database and identified the glycolytic genes related to PD. Subsequently, GO and KEGG enrichment analyses were conducted. We constructed a PD diagnosis model using the SVM algorithm for differentially expressed glycolysis-related genes and verified the model with LASSO regression analysis. Next, we constructed a regulatory network of genes that were differentially expressed with respect to glycolysis. Finally, the amount of immune cell infiltration was analyzed in PD samples, and the correlation between differential genes and immune cells was calculated. A total of 64 differentially expressed glycolytic genes associated with PD were screened. Then, a GO analysis was conducted, followed by KEGG and GASE enrichment analyses. Within the established PD diagnostic model, 26 genes that were differentially expressed and linked to glycolysis showed strong statistical significance. After further screening, a diagnostic model for PD including seven key genes was established. Further analysis showed that ABHD5 most strongly correlated with neutrophils (r = 0.507). The key gene SMAD3 was strongly negatively associated with gamma delta T cells (r = -0.488). This research offered a theoretical foundation for the association between glycolysis and PD. Seven glycolytic genes were identified as significantly linked to PD and warrant additional research.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.