Relationship between mild cognitive impairment and adiponectin and leptin in type 2 diabetes mellitus patients
Bibliographic record
Abstract
Aim: To explore the relationship between mild cognitive impairment( MCI) and adiponectin and leptin in type 2 diabetes mellitus( T2DM) patients. Methods: A total of 60 T2 DM patients were divided,based on cognitive function assessed by Montreal cognitive assessment( Mo CA) scale,into two groups,namely 25 T2 DM patients with MCI( T2 DMMCI group) and 35 T2 DM patients with normal cognitive function( T2DM-NC group). Another 25 subjects with normal glucose tolerance and normal cognitive function were chosen as normal control( NGT-NC). Serum adiponectin and leptin were measured. Hb A1 c and lipid levels were also determined. Results: In comparison with T2DM-NC group [( 5. 39 ± 0. 38)mg / L] and NGT-NC group [( 11. 53 ± 0. 29) mg / L],adiponectin was significantly lower in T2DM-MCI group [( 3. 31 ±0. 22) mg / L]( F = 175. 921,P 0. 001); while in comparison with T2DM-NC group [( 13. 43 ± 0. 25) μg / L]and NGT-NC group[( 5. 41 ± 0. 19) μg / L],leptin was significantly higher in T2DM-MCI group[( 16. 24 ± 0. 18) μg / L]( F = 475. 478,P 0. 001). In T2DM-MCI group,Mo CA score was negatively correlated with Hb A1c( r =- 0. 596,P = 0. 002),diabetic duration( r =- 0. 533,P = 0. 006) and leptin( r =- 0. 674,P 0. 001),but was positively correlated with adiponectin( r =0. 693,P 0. 001). Multiple linear regression analysis suggested that adiponectin,leptin and Hb A1 c were the risk factors of Mo CA score( standadized β = 0. 481,- 0. 370,and- 0. 305,P 0. 05). Conclusion: Adiponectin,leptin and Hb A1care the risk factors for diabetic cognitive impairment. Diabetic duration contributes in a sense to the forming of MCI.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| 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) | 0.000 | 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 teacher head, 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".