ArticleJournal of molecular neuroscience : MN2018
Progression Rate Associated Peripheral Blood Biomarkers of Parkinson's Disease.
Article in Journal of molecular neuroscience : MN, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.
What it found
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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
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Who cites it
9 citing papers in PubMed, 1 synthesis or guideline pooled it, 17 citations in OpenAlex.
- Identifying BMI-associated genes via a genome-wide multi-omics integrative approach using summary data.Human molecular genetics · 2024Pooled it
- Early retinal synaptic dysfunction and proteomic remodeling precede neurodegeneration in a Parkinson's disease model.NPJ Parkinson's disease · 2026Article
- Integrating Blood Biomarkers and Marine Brown Algae-Derived Inhibitors in Parkinson's Disease: A Multi-scale Approach from Interactomics to Quantum Mechanics.Molecular biotechnology · 2025Article
- Article
- Identification of Potential miRNA-mRNA Regulatory Network Contributing to Parkinson's Disease.Parkinson's disease · 2022Article
- The nonreceptor tyrosine kinase SRMS inhibits autophagy and promotes tumor growth by phosphorylating the scaffolding protein FKBP51.PLoS biology · 2021Article
- LRCH1 deficiency enhances LAT signalosome formation and CD8Proceedings of the National Academy of Sciences of the United States of America · 2020Article
- Role of MicroRNAs in Parkinson's Disease.International journal of molecular sciences · 2019Review
- Aberrantly expressed long noncoding RNAs and genes in Parkinson's disease.Neuropsychiatric disease and treatment · 2018Article
Corrections and comments
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Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Parkinson disease (PD) is one of the most frequent neurodegenerative disorders. The aim of this study was to identify blood biomarkers capable to discriminate PD patients with different progression rates. Differentially expressed genes (DEGs) were acquired by comparing the expression profiles of PD patients with rapid and slow progression rates, using an expression dataset from Gene Expression Omnibus (GEO) under accession code of GSE80599. Altered biological processes and pathways were revealed by functional annotation. Potential biomarkers of PD were identified by protein-protein interaction (PPI) network analysis. Critical transcription factors (TFs) and miRNAs regulating DEGs were predicted by TF analysis and miRNA analysis. A total of 225 DEGs were identified between PD patients with rapid and slow progression profiles. These genes were significantly enriched in biological processes and pathways related to fatty acid metabolism. Among these DEGs, ZFAND4, SRMS, UBL4B, PVALB, DIRAS1, PDP2, LRCH1, and MYL4 were potential progression rate associated biomarkers of PD. Additionally, these DEGs may be regulated by miRNAs of the miR-30 family and TFs STAT1 and GRHL3. Our results may contribute to our understanding of the molecular mechanisms underlying different PD progression profiles.
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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.