The Correlation Between RIN3 Gene Methylation and Cognitive Impairment in Parkinson’s Disease
Bibliographic record
Abstract
Background: Parkinson's disease (PD) is the second most common neurodegenerative disorder, after Alzheimer's disease. Many individuals with PD experience cognitive impairment, significantly threatening both their physical and mental well-being. Research has shown that abnormal DNA methylation is closely linked to neurodegenerative conditions such as Alzheimer's and Parkinson's disease. The RIN3 gene, which encodes a guanine nucleotide exchange factor, plays a role in inhibiting amyloid-beta formation and affects protein endocytosis, both of which are linked to cognitive impairment. However, the potential connection between RIN3 gene methylation and cognitive impairment in Parkinson's disease has not yet been explored. This study aims to explore whether the methylation status of the RIN3 gene is connected to cognitive decline in Parkinson's patients, thereby shedding light on the gene's crucial role in the disease's development and identifying potential targets for diagnosing and treating cognitive impairment in this context. Purpose: This study aims to explore whether the methylation status of the RIN3 gene is associated with cognitive impairment in Parkinson's disease and to further clarify the gene's significant role in the disease's pathogenesis. Methods: This study involved 50 control subjects and 51 Parkinson's disease (PD) patients, who were assessed using a cognitive scale. Additionally, DNA methylation in whole blood was analyzed. The research compared RIN3 methylation levels between the PD group and the normal control group (NC), as well as between the subgroups of PD-Mild Cognitive Impairment (PD-MCI), PD-Normal Cognition (PD-NC), and the control group. Results: The DNA methylation level of the RIN3 gene in the whole blood of patients with PD was lower than that in healthy controls (22.3%vs.23.6%, P=0.009). Moreover, individuals with PD-MCI had significantly lower RIN3 methylation levels than both the control group (21.3%vs.23.6%, P<0.001) and those in the PD-NC group (21.3%vs.23.3%, P=0.001). Conclusion: RIN3 methylation is associated with PD-MCI. With appropriate lifestyle changes and clinical interventions, methylation may influence disease progression, suggesting that RIN3 gene methylation could serve as a predictor for the development of PD-MCI.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".