The correlation of serum BDNF, visceral adipose and cognitive dysfunction in elderly patients with type 2 diabetes
Bibliographic record
Abstract
Objective To investigate the correlation of serum brain derived neurotrophic factor (BDNF), visceral adipose and cognitive dysfunction in elderly patients with type 2 diabetes. Methods From July 2016 to August 2017, 72 patients with type 2 diabetes in our department of inpatient were selected as subjects. According to whether there was cognitive dysfunction, they were divided into 2 groups, type 2 diabetes mellitus combined with cognitive impairment group (A group) and simple type 2 diabetes group (B group). Another 40 healthy persons in the same period were selected as the control group. The indexes of glycolipid metabolism, visceral adipose and BDNF were measured in two groups. The logistic regression analysis was used to analyze the risk factors of cognitive dysfunction, and the relationship between visceral adipose, BDNF and cognitive function was analyzed by Pearson correlation. Results ⑴ The total cholesterol (TC), triglyceride (TG), low density lipoprotein cholesterol (LDL-C), fasting insulin (FINS), fasting blood glucose (FPG), glycosylated hemoglobin (HbA1c), fasting insulin (FINS), insulin resistance index (HOMA-IR), and visceral fat hormone level of the three groups were from high to low in A group >B group >C group (P B group >A group (P<0.05); ⑵ The logistic regression analysis showed that visfatin, HOMA-IR, BDNF for the risk of cognitive impairment factors in elderly patients with type 2 diabetes; ⑶ Corre-lation analysis showed that the score and visceral fat MoCA and HOMA-IR were negatively correlated with the MoCA score was positively related to BDNF; HOMA-IR and visfatin was positively correlated, negatively correlated with BDNF. Conclusions The cognitive function of elderly patients with type 2 diabetes is related to serum visfatin and BDNF. Increased visfatin and BDNF may lead to cognitive dysfunction. Key words: Diabetes mellitus, type 2/CO; Cognition disorders; Brain-derived neurotrophic factor/BL; Adiponectin/BL
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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 | 0.001 |
| 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".