CD4+ regulatory T cells and CD4+ activated T cells in new active and relapse tuberculosis
Bibliographic record
Abstract
The aim of the present study was to examine characteristics of tuberculosis (TB) patients with different clinical forms and to study the frequency of Regulatory T cells (Treg cells) and Activated T cells in patients with new active and relapse TB. Forty-five pulmonary TB patients and a control group of 15 healthy individuals were enrolled in this study. Of the 45 TB patients, 15 were new cases with drug-susceptible active TB and 30 were relapsed cases (15 drug-susceptible and 15 multidrug resistant-TB). The age of study participants ranged from 21 to 68 years old. According to sex presentation, males were appreciably highly affected than females with a sex ratio of 2. The patients reported a mean recent weight loss of 8.9 kg. The Erythrocyte Sedimentation Rate was high in TB group, far exceeding the normal value. The results revealed that the number of CD3+ CD4+ T-cells significantly decreased whereas the level of blood Treg cells and expression of activation markers CD38 and HLA-DR on CD4+ T-cells significantly increased in TB group compared with the control group (p<0.05). The frequency of Treg cells was significantly higher in the TB group than the control group. Both the patients with new active TB and relapse TB demonstrated significantly higher levels of CD4+FoxP3+ Treg compared to healthy subjects (p<0.05). A high and significant percentage of Treg cells were found in patients with DS active TB than patients with MDR relapse TB. Interestingly, the frequency of CD4+FoxP3+ cells also differs according to the sputum smear microscopy status. The presence of high numbers of Treg cells and corresponding high immune activation may be an unfavourable factor that can predispose individuals to different clinical forms of TB, including relapse TB.
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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) | 0.001 | 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".