Microinflammation in hemodialysis is related to a preactivated subset of monocytes
Bibliographic record
Abstract
Increased percentage of monocytes with low CD14 expression and that co-express CD16 (CD14+/CD16+) have been reported in hemodialysis (HD) patients. We sought to determine whether CD14+/CD16+ monocytes in HD therapy are sensibilized cells to a proinflammatory activity. Cells from 32 HD patients, and from 9 Systemic Lupus Erythematosus (SLE), 9 individuals with human immunodeficiency virus (HIV)-1- and 15 healthy controls were studied. Cells were analyzed by means of flow cytometry for CD14/CD16 expression and immune function (cytokine, chemokines, and sialoadhesin expression), and phagocytosis. Increased percentage of CD14+/CD16+ monocytes was observed in HD patients. Compared with CD14++ monocytes, the CD14+/CD16+ monocytes exhibited increased expression of proinflammatory cytokines and markers of differentiated cells. In addition, these monocytes showed an increased phagocytic activity. Similarly, CD14+/CD16+ monocytes from SLE and HIV patients showed increased inflammatory activity as compared with CD14++ cells. These results support that CD14+/CD16+ monocytes from HD patients evidence characteristics of primed prestimulated proinflammatory cells, similar to data observed in SLE and HIV.
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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 | 0.000 | 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) | 0.001 | 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".