Evidence for reduced synaptic protein SNAP-25 in cerebrospinal fluid in major depressive disorder and schizophrenia
Bibliographic record
Abstract
BACKGROUND: Decreased cerebrospinal fluid (CSF) levels of synaptic proteins, possibly reflecting impaired synaptic function, have been observed in major depressive disorder (MDD). OBJECTIVE: To investigate the diagnostic utility of the soluble N-ethylmaleimide-sensitive-factor attachment receptor (SNARE) complex protein, synaptosomal-associated protein of 25 kDa (SNAP-25), for MDD. METHODS: Overall, 208 participants with one of MDD, schizophrenia (SCZ) or bipolar disorder (BD), and healthy controls (HCs) were retrospectively enrolled. CSF levels of SNAP-25 were assessed relative to MDD characteristics and the diagnostic potential was analysed. In subgroups of patients, CSF levels of presynaptic neurexin 3 (NRXN3), postsynaptic neurogranin (NRGN) and Alzheimer's disease biomarkers were measured for comparison. FINDINGS: SNAP-25 levels, but not the levels of the other synaptic markers, were significantly decreased in MDD compared with HCs, allowing for discrimination with 68% sensitivity and 67% specificity. SNAP-25 was not associated with MDD severity or antidepressant medication. Compared with HCs, SCZ also displayed decreased SNAP-25 enabling discrimination with 64% sensitivity and 77% specificity. There were strong correlations between levels of synaptic proteins and established Alzheimer pathology markers, with subtle differences in the association pattern between disorders. DISCUSSION: Our data suggest that SNAP-25, NRXN3 and NRGN versus beta-amyloid and phosphorylated tau protein 181 (ptau) are regulated differentially across psychiatric disorders and that SNAP-25 has a moderate diagnostic potential for MDD and SCZ. We propose that CSF SNAP-25 level might represent an integrated readout of reduced synaptic function, rather than of synaptic degeneration, in MDD. Further studies are needed to analyse whether this potential can be increased by using multimarker measurements and whether it will be possible to subtype psychiatric disorders according to synaptic involvement in pathophysiology. CLINICAL IMPLICATIONS: SNAP-25 and other synaptic proteins in CSF might aid diagnosis and subtyping of MDD and SCZ. The current development of sensitive methods to also determine synaptic proteins in blood samples from patients will advance the validation of the biomarker potential and contribute to understanding of synaptic involvement in the pathophysiology of MDD and SCZ.
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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 | 0.001 |
| 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".