Claudin-5 and occludin levels in patients with psychiatric disorders − A systematic review
Why this work is in the frame
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Bibliographic record
Abstract
BACKGROUND: Recent research has underscored the critical role of blood-brain barrier (BBB) integrity in psychiatric disorders, highlighting disruptions in tight junction (TJ) proteins, specifically claudin-5 and occludin. These proteins are pivotal in maintaining the BBB's selective permeability, which is essential forbrain homeostasis. Altered levels of the TJ proteins have been observed in various psychiatric conditions, suggesting potential as biomarkers for the pathophysiology of these disorders. This systematic review synthesizes existing research on the alterations of claudin-5 and occludin levels in the serum of individuals with psychiatric disorders, evaluating their correlation with BBB dysfunction and psychiatric pathophysiology. METHODS: In adherence to the PRISMA guidelines, a comprehensive search strategy was employed, utilizing databases such as PubMed, Google Scholar, Web of Science, and Scopus. The review encompassed studies published between 2000 and 2024 that measured serum claudin-5 and occludin levels of psychiatric patients. Thorough data extraction and synthesis were conducted. RESULTS: Seventeen studies met the inclusion criteria. Key findings include indications for increased claudin-5 levels in Schizophrenia, Bipolar Disorder, Depression, and Specific learning disorder, and increased occludin levels in ADHD and Autism Spectrum Disorder patients. No significant differences were found in studies of patients with Alcohol Use and Insomnia Disorder. CONCLUSIONS: The review underscores the potential association between altered serum levels of claudin-5 and occludin and psychiatric disorders, supporting their utility as biomarkers for BBB integrity and psychiatric pathophysiology. Further research is essential to elucidate the mechanisms linking TJ protein alterations with pathophysiology and, potentially, neuroprogression in psychiatric disorders, which could lead to novel diagnostic and therapeutic strategies.
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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) | 0.002 | 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 | 0.001 |
| 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 it