Acute Exposure to Conventional Peritoneal Dialysis Fluids Does Not Alter the Hepatic Microcirculation
Bibliographic record
Abstract
Peritioneal Dialysis (PD) has been associated with the development of structural and functional alterations of the peritoneal membrane and vasculature, including that of the liver. In this study, we investigated the contribution of pH buffers and glucose content of conventional PD fluids on the hepatic microvasculature. To determine whether acute exposure to a variety of PD solutions altered the hepatic inflammatory response, male C57BL/6 mice received TNF 500 ng intraperitoneally (IP) or 50 μl normal saline. At 3hrs, all mice received 2mL of one of eight PD fluids (IP), which varied in either sugar, concentration of sugar, or buffer. Controls received 2mL of lactated Ringer's. The hepatic microcirculation was examined at 1hr post‐PD by intravital microscopy. As expected, TNF‐treated mice showed significantly higher leukocyte recruitment as compared to controls in both post‐sinusoidal and sinusoidal venules (P<0.05). There was no significant difference in post‐sinusoidal rolling and adhesion or sinusoidal adhesion between any of the 8 PD fluids tested. White blood cells count did not differ significantly between all solutions (P<0.05). These data suggest that during an acute exposure to the tested PD fluids and with the variation in glucose content, sterilization and buffering methods, hepatic leukocyte‐endothelial cell interactions were not significantly altered. Importantly, these effects were also not seen when the hepatic microcirculation was stimulated with the cytokine TNF. Compared to our corresponding work in the peritoneal microcirculation the liver may require a longer exposure to PD fluids.
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 | 0.000 |
| 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 | 0.001 |
| 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".