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Record W2135909217 · doi:10.1186/1710-1492-10-28

The changes and its significance of Th17 and Treg cells and related cytokines in patients with tuberculosis pleurisy

2014· article· en· W2135909217 on OpenAlexvenueno aff
Guoqiang Wang, Cai-ling Yang, Dong-fang Yue, Lihong Pei, Hua Zhong, Ju-xia Niu

Bibliographic record

VenueAllergy Asthma and Clinical Immunology · 2014
Typearticle
Languageen
FieldMedicine
TopicPleural and Pulmonary Diseases
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineTuberculosisImmunologyPeripheral bloodHydrothoraxPathogenesisPeripheralInternal medicinePathology

Abstract

fetched live from OpenAlex

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.201
Threshold uncertainty score0.297

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.010
GPT teacher head0.247
Teacher spread0.237 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations13
Published2014
Admission routes1
Has abstractyes

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