Can BDNF and IL-2 be indicators for the diagnosis in schizophrenic patients with depressive symptoms?
Bibliographic record
Abstract
OBJECTIVE: The aim of the current study is to determine whether serum levels of brain-derived neurotrophic factor (BDNF) and interleukin-2 (IL-2) can be biological indicators for the diagnosis of schizophrenia in patients with depressive symptoms. METHOD: Forty-seven patients (11 patients diagnosed with schizophrenia, 16 patients diagnosed with schizophrenia and comorbid depression and 20 patients diagnosed with major depressive disorder) and 20 healthy subjects were enrolled. The Positive and Negative Symptoms Scale, the Calgary Depression Scale for Schizophrenia and the Hamilton Depression Rating Scale were used for assessment. The serum BDNF and IL-2 levels of all the subjects were studied. RESULTS: Decreased levels of serum BDNF and increased levels of serum IL-2 were found in the patients diagnosed with either schizophrenia, schizophrenia with depression, or major depressive disorder (p = 0.049, p = 0.010; p = 0.001 and p = 0.044; p = 0.027, p = 0.003; respectively) compared with control group. There were no significant differences between the patient groups in their serum BDNF and IL-2 levels. CONCLUSIONS: The present study suggests that neurotrophic factors and immune system changes are involved in the pathogenesis of schizophrenia with or without depressive symptomatology. However, the data do not clarify whether depressive symptoms in schizophrenia occur as a dimension of schizophrenia or as symptoms of major depression that is comorbid with schizophrenia.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| 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) | 0.000 | 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".