Immune to happiness – inflammatory process indicators and depressive personality traits
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
INTRODUCTION: Nowadays, depression is conceptualized as an immune-inflammatory and oxidative stress disorder associated with neuroprogressive changes as a consequence of peripherally activated immune-inflammatory pathways, including peripheral cytokines and immune cells which penetrate into the brain via the blood barrier, as well as nitro-oxidative stress and antioxidant imbalances. The aim of this study was to investigate whether personality traits predisposing to a depressive episode (hypochondria, dysthymic, hysteria) are associated with changes in peripheral gene expression for selected indicators of inflammation and oxidative balance. MATERIAL AND METHODS: One hundred four people meeting the diagnostic criteria specified for a depressive episode took part in the study. Selected scales of the Minnesota Multiphasic Personality Inventory (MMPI-2) were used to measure personality traits. Expression at the mRNA and protein level for manganese superoxide dismutase (MnSOD), myeloperoxidase (MPO), cyclooxygenase 2 (COX-2), inducible nitric oxide synthase (iNOS), and metalloproteinases 2 and 9 (MMP-2, MMP-9) was examined. RESULTS: Scales for the neurotic triad of the MMPI-2 test correlated significantly with the expression at the level of mRNA and protein for MnSOD, MPO and metalloproteinases 2 and 9. CONCLUSIONS: The scales specified for the neurotic triad of the MMPI-2 test correspond substantially with the expression of MnSOD, MPO and metalloproteinases 2 and 9 at the mRNA and protein levels in the group of patients suffering from depression.
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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 | 0.002 |
| 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 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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