Brain-Derived Neurotrophic Factor and Its Serum Levels in Schizophrenic Patients
Bibliographic record
Abstract
INTRODUCTION: Neurotrophins have an important role in regulating the development and maintenance of the peripheral and central nervous systems' function. Thus, the neurotrophin hypothesis of schizophrenia has postulated that the changes in the brain of schizophrenic patients are the result of disturbances of developing processes involving these molecules. AIM: We analyse in the present study the changes in the serum levels of brain-derived neurotrophic factor (BDNF) in schizophrenic patients as possible epiphenomena of underlying alterations of the neurotrophic factor in central nervous system, reflecting its role in the pathophysiology of schizophrenia. PATIENTS AND METHODS: Twenty-one schizophrenic patients satisfying the DSM-IV criteria for diagnosis of schizophrenia were enrolled in the study. The control group consisted of 28 age-matched mentally healthy subjects. Serum BDNF levels were determined in patients and normal controls using ELISA (Chemicon International, USA & Canada). The data were analyzed statistically with Student's t- test in SPSS 9.0. RESULTS: The serum BDNF levels were lower in the schizophrenic patients than in the control subjects, reaching statistically significant difference (t = 2.72, p = 0.009). Female patients had lower serum BDNF levels than the male patients but the difference fell short of statistical significance (t = 0.1, p = 0.9). CONCLUSIONS: The BDNF reduction in serum indicates a potential deficit in neurotrophic factor release in patients with schizophrenia and support the concept that BDNF might be associated with schizophrenia.
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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 | 0.001 |
| 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) | 0.000 | 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".