Cognitive functions and the brain-derived neurotrophic factor in patients with mild autonomous cortisol secretion
Bibliographic record
Abstract
CONTEXT: The impact of abnormal cortisol secretion on cognitive functions in patients with mild autonomous cortisol secretion (MACS) remains uncertain. OBJECTIVE: To assess cognitive functions, determine serum brain-derived neurotrophic factor (BDNF) concentration in patients with MACS, and investigate the association between cognitive subdomains and BDNF. METHODS: We prospectively recruited 84 participants-28 patients with MACS, 28 patients with nonfunctional adrenal adenoma (NFAA), and 28 control subjects matched for age, gender, body mass index (BMI), visceral adiposity, and educational level. The serum BDNF concentration of participants was measured. The Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition-focused interviews and Montreal Cognitive Assessments (MoCA) were carried out by an experienced psychiatrist. RESULTS: Patients with MACS had a higher serum BDNF concentration than the NFAA (P = .001), while that of patients with NFAA was lower than the controls (P = .044). Linear regression analysis revealed BMI and morning cortisol after overnight 1 mg dexamethasone (DST) were mostly associated with BDNF (P < .05). No significant difference was found in MoCA scores between MACS and NFAA groups (P = .967), whereas those were lower than the control group (P = .004). When the cognitive subdomains were examined separately, MACS group performed higher memory score than NFAA (P = .045), but lower language scores than both the NFAA (P = .024) and control groups (P < .001). In the whole group, BDNF concentration was positively correlated with memory score (r = 0.337, P = .002), whereas DST was negatively correlated with language score (r = -0.355, P = .008). CONCLUSION: Low-grade hypercortisolism is associated with elevated BDNF concentrations, which may be a protective factor for memory function in patients with MACS relative to those with NFAA.
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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".