The changes and its significance of Th17 and Treg cells and related cytokines in patients with tuberculosis pleurisy
Bibliographic record
Abstract
BACKGROUND: Tuberculous pleurisy is a kind of tuberculosis, it is well known that Th1 lymphocytes play a key role in the treatment of tuberculosis infection. However, latest studies show that Th17 lymphocyte may also play an important role tuberculosis infection. There is close relationship between Treg and Thl7 cells, and changes in the number or the function of the two kinds of cells may lead to diseases. The current researches on Thl7 and Treg cells maily focus on autoimmune diseases, however, reports about their role in tuberculosis are limited. In this study, we investigate the function of th17 and Treg cells and the above cytokines in the pathogenesis of tuberculosis pleurisy; by determining the expression of Th17 and Treg cells in peripheral CD4 T cells and the related cytokines in patients with tuberculous compared with healthy people. RESULTS: Th17 cells in patients were higher than that in the Healthy control group, expression of Treg cells in patients were lower than that in the healthy group; IL-17, IL-23 levels in peripheral blood and hydrothorax from the patients were higher than that in the healthy group; IL-17, IL-23 and IL-6 levels in hydrothorax were higher than that in peripheral blood. There was no difference in IL-6 level in peripheral blood between the patients and healthy control; TGF- β level in peripheral blood from the healthy group was higher than that in peripheral blood and hydrothorax from the patients. And there were no differences in TGF- β level between peripheral blood and hydrothorax. Th17 cells were negatively correlated with Treg cells ,but were positive correlation with IL-17, IL-23, IL-6 levels in peripheral blood; TGF- β level was positive correlation with Treg cells in the peripheral blood, but no correlation with Th17 cells. CONCLUSION: Th17 and Treg cells may be involved in the immune pathological mechanism of tuberculous pleurisy and changes of related cytokines may be involved in the differentiation of Th17 and Treg cells and inflammatory response. Thus, Th17 and Treg cells and related cytokines may be important immunopathogenesis for tuberculous pleurisy.
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.
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 | 0.001 |
| 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".