Nitric Oxide and Major Depressive Disorder: Pathophysiology and Treatment Implications
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Major depressive disorder (MDD) is a multi-factorial and heterogeneous disease. Robust evidence suggests that inflammation is involved in the pathogenesis of MDD for a subpopulation of individuals. However, it remains unclear what traits and/or states precede the onset of inflammation in this subpopulation of individuals with MDD. Several recent studies have implicated nitric oxide (NO) as a critical regulator of neuroinflammation, thus suggesting a possible role in the pathophysiology of MDD. The aim of this review is to evaluate the evidentiary base supporting the hypothesis that the increased hazard for developing MDD in certain subpopulations may be mediated, in part, by inflammogenic trait and/or state variations in NO signaling pathways. We conducted a non-systematic literature search for English language studies via PubMed and Google Scholar, from 1985 to October 2014. Replicated evidence suggests that NO has contrasting effects in the central nervous system (CNS). Low concentrations of NO are neuroprotective and mediate physiological signaling whereas higher concentrations mediate neuroinflammatory actions and are neurotoxic. Certain polymorphisms in the neuronal nitric oxide synthase gene (NOS1) are associated MDD. Furthermore, state variations (e.g. decreased levels of essential co-factor, 5,6,7,8-tetrahydrobiopterin [BH4], enhanced microglial cell activity) in the NO signaling pathway are associated with an increased risk of developing MDD. Increased concentrations of NO enhance the production of reactive nitrogen species (RNS) and reactive oxygen species (ROS), which are associated with an increase in pro-inflammatory cytokines. Taken together, evidences suggest that abnormalities in NO signaling may constitute a trait-marker related to MDD pathophysiology, which could be explored for novel therapeutic targets.
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.
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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| 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 it