Progressive and Concordant Expression of PKC-η and iNOS Phenotypes in Monocytes From Patients With Rheumatoid Arthritis: Association With Disease Severity
Bibliographic record
Abstract
Rheumatoid arthritis (RA) is a relatively common autoimmune disease with strong genetic and environmental determinants. The disease manifests itself as inflammation of the synovia and usually progresses to joint erosion and destruction. The disease can also be considered as a systemic disease because extra-articular manifestations are often observed throughout many organs and tissues of the body. Patients with severe RA have altered peripheral blood monocytes (PBM) that express activation markers. Two such markers, PKC-eta and iNOS, were studied using confocal laser scanning microscopy to determine how these markers are expressed during disease progression. Healthy individuals expressed neither of the two markers, but there was an elevated level of PKC-eta observed as the disease progressed (40% in mild RA and 100% in severe RA patients). Concordant expression of the two markers was observed in only 3% of PBM from mild RA patients, reaching 38% in severe RA patients. No cells expressing iNOS alone were observed in any of the patients studied. These data support the hypothesis linking PKC-eta expression with the regulation and predisposition to the development of the iNOS phenotype in severe RA patients. PKC-eta may therefore be a key regulator in the production of elevated plasma nitric oxide (NO) and corresponding circulating reactive nitrogen intermediates in severe RA and may be a possible target to regulate iNOS induction and NO production by monocytic cells in RA patients and possibly other inflammatory diseases.
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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 | 0.000 |
| 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".