Mitochondrial dynamics-related genes Drpl and Opal contributes to early diagnosis of cognitive impairment in diabetes
Bibliographic record
Abstract
Abstract Background and aim DRP1 and OPA1 play important roles in mitochondrial fusion and fission. However, the role of DRP1 and OPA1 amplification in mitochondrial cognitive impairment has not been reported. This study aimed to investigate the relationship between DRP1 and OPA1 and the risk of cognitive impairment.Methods A total of 45 elderly patients with diabetes were enrolled in this study, including 15 patients with normal diabetes, 15 patients with mild cognitive impairment (MCI), and 15 patients with dementia. Also, the clinical characteristics, AD8 score, and MoCA score were evaluated.Results DRP1(2-K) and OPA1(2-K) significantly increased and decreased in dementia and MCI groups compared with the normal group (P ≤ 0.001). DRP1 gene amplification was positively correlated with the AD8 score and negatively correlated with the MoCA score (P < 0.001). OPA1 gene amplification was positively correlated with the MoCA score (P = 0.0002). Receiver operating characteristic analysis showed that OPA1 amplification had a high predictive value for dementia (P < 0.0001), and the combination of OPA1 and DRP1 had a higher predictive value.Conclusion Multiples of DRP1 and OPA1 are associated with dementia risk in elderly patients and may serve as potential biomarkers.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".