Production of Tumor Necrosis Factor Alpha and Hemodialysis
Bibliographic record
Abstract
The production of TNF alpha by peripheral blood mononuclear cells (PBMC) was determined in 18 hemodialysis (HD) patients. Blood was taken from each patient before and after an HD treatment. Both pre- and post-HD PBMC produced significantly more TNF alpha than controls (TNF alpha units/ml; mean +/- SEM; controls 3.1 +/- 0.7; pre-HD 9.7 +/- 3.9; post-HD 19.8 +/- 7.7, p < 0.05). In addition, post-HD PBMC produced significantly more TNF alpha than pre-HD PBMC suggesting that the HD procedure itself may activate cytokine production. This was true when PBMC were cultured in serum free medium as well as on culture with non-HD sera (human AB) and autologous sera. A positive correlation was also found between the production of TNF alpha and age in HD patients (r = 0.58; p < 0.01). Finally, normal PBMC cultured in post-HD sera produced significantly less TNF alpha than when cultured in the same sera pre-HD (p < 0.02). These findings suggest that PBMC of HD patients are chronically stimulated to produce TNF alpha which may contribute to some of the short-term and long-term complications of HD.
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 | 0.000 | 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".