Profiling cargo of brain extracellular vesicles in individuals with depression
Bibliographic record
Abstract
Major depressive disorder (MDD) is a leading cause of disability with significant mortality risk.Despite progress in our understanding of the etiology of MDD, the underlying molecular changes in the brain remain poorly understood.Extracellular vesicles (EVs) are lipid-bound particles that can reflect the molecular signatures of the tissue of origin.They are also a means of intercellular communication, which is disrupted in MDD.The gold-standard for EV isolation has been through ultracentrifugation, which is tedious and lacks reproducibility.We aimed to optimize a more streamlined and consistent EV isolation protocol from post-mortem brain tissue and to determine whether EV cargo, particularly microRNAs (miRNAs) and proteins, have an MDDspecific profile.EVs were isolated from post-mortem human brain tissue using size exclusion chromatography.Quality was assessed using western blots, transmission electron microscopy,
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| 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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".