Evaluation of T memory cells in knee osteoarthritis patients
Bibliographic record
Abstract
Background and aim Knee osteoarthritis (OA) is a common chronic condition resulting in pain, fatigue, functional limitations, increased healthcare utilization, and high economic costs to society. Therefore, this study aims to assess the role of T memory cells in the pathogenesis of knee OA. Patients and methods This case–control study was carried out on 30 symptomatic patients with radiographic evidence of knee OA, who were attending Al-Azhar University Hospital, Assuit and 30 healthy volunteers. All the included patients were subjected to radiographic examination, Western Ontario and McMaster Universities score, Kellgren–Lawrence grade, and laboratory investigations (complete blood count–C-responsive protein–erythrocyte sedimentation rate) and assessment of T memory cells by flow cytometry. Results The mean CD3+CD4+CD8− T cells level, CD3+CD4+CD45Ro+ memory T cells level, CD3+CD8+CD4− T level, and CD3+CD8+CD45RO+ memory T was lower in OA cases (4.8±3.1) in comparison with controls. There was a significant moderated positive correlation between both grading scales and monocyte%, and between Kellgren–Lawrence grade and CD3+CD8+CD4− T cells ( r =0.491, P =0.011) with an increase in disease severity, there was an increase in the CD3+CD8+CD4− T cells. Conclusion T memory cells have critical importance in the pathogenesis of knee OA. CD4+ T cells may serve a role in inducing inflammation in the early stages of OA, as well as being instrumental in causing inflammatory damage to the articular cartilage in the latter stages.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.002 | 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 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".