Pentastarch in a Balanced Solution Reduces Hepatic Leukocyte Recruitment in Early Sepsis
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
OBJECTIVE: To characterize the hepatic leukocyte endothelial cell interactions occurring in early sepsis and to determine whether this is influenced by fluid treatment. METHODS: Sepsis was induced by cecal ligation and perforation in C57Bl/6 mice. One of 6 iv fluid regimes was given immediately postsurgery and at 6 h. The hepatic microcirculation was examined by intravital microscopy at 6 h. RESULTS: All 0.9% saline-based solutions were associated with an increase in leukocyte-endothelial cell interactions as demonstrated by an increase in the rolling flux in the sham and naïve mice. In the septic mice treated with normal saline, there was a 20-fold increase in leukocyte adhesion within the postsinusoidal venules, compared to sham mice. Treatment with lactated Ringer's reduced the sepsis-mediated leukocyte recruitment by 50%. When septic mice received 6% pentastarch in a balanced solution or 3% saline, venular leukocyte adhesion was reduced by an additional 50%. When the pentastarch was prepared in normal saline there was no further reduction in venular leukocyte adhesion compared to the lactated Ringer's-treated mice. All hyperosmolar solutions improved the sepsis-induced reduction in sinusoidal perfusion but only the pentastarch in the balance solution significantly reduced the number of adherent leukocytes within the sinusoids. CONCLUSIONS: Hepatic leukocyte recruitment occurs early in sepsis. Pentastarch in a balanced solution but not in normal saline significantly reduces hepatic leukocyte recruitment, suggesting solution composition, as well as osmolarity impact the innate immune response.
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