Expression of Cytotoxic T-Lymphocyte Antigen 4 on CD4+ and CD8+ T Cells Is Increased in Acute Lung Injury
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Acute lung injury (ALI) is a severe form of diffuse lung disease, which imposes a substantial health burden all over the world. The immune system plays a key role in the development of ALI. The aim of the study was to investigate the expression of cytotoxic T-lymphocyte antigen 4 (CTLA4) in ALI. Levels of CTLA4 were tested on CD4+ and CD8+ T cells in 62 ALI cases and 75 healthy controls by flow cytometry. Data revealed that prevalence of CTLA4 on CD4+ T cells was significantly increased in ALI patients (3.7%±2.1%) than in controls (0.7%±0.3%). Similarly, the proportion of CTLA4 on CD8+ T cells was also significantly elevated in cases (1.0%±0.4% versus 0.5%±0.1%, p<0.05). Further analysis showed that the frequency of CTLA4+CD4+ T cells was positively correlated with the score of Acute Physiology and Chronic Health Evaluation II (APACHE II) (p=0.0005). In addition, when investigating CTLA4 expression with ALI patient mortality, we observed that the level of CTLA4+CD4+ T cells in patients was higher at the time before death than at the time of recruitment (p=0.001). These data suggested that CTLA4 was involved in the pathogenesis and progression of ALI and could be used as a potential target for treating this disease.
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.
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 it