Transient changes in the localization and activity of ecto‐nucleotidases in rat hippocampus following lipopolysaccharide treatment
Bibliographic record
Abstract
The concentrations of extracellularly released nucleotides are controlled by metabolism via ecto-nucleotidases, but the precise physiological roles of the ecto-nucleoside triphosphate diphosphohydrolases in the modulation of purinergic receptor signalling are still unclear. Bacterial endotoxin lipopolysaccharide (LPS) treatment (administered intraperitoneally, 2 mg/kg body weight) of rats resulted in no significant changes in the overall ecto-nucleotidase activities of the hippocampus, however, LPS treatment did cause transient changes in the morphology of endothelial cells and pericytes and in the localization pattern of ecto-ATPase activity in rat hippocampus. The transient decrease in NTPDase1 (ecto-nucleoside triphosphate diphosphohydrolase1) activity, located on the luminal side of the endothelial cells, was balanced by increases in ecto-nucleotidase activities in pericytes and at other sites, consistent with an unchanged overall ecto-ATPase activity of the hippocampus. Since the transient loss of NTPDase1 activity was not accompanied by a loss of NTPDase1 protein, we hypothesize that LPS caused transient alterations in the lipid membranes, since NTPDase1 activity is known to be sensitive to changes in membrane structure via its transmembrane domains. After 2-3 days, the LPS-induced changes in cell morphology and ecto-nucleotidase localization disappeared. We conclude that a low dose of LPS causes transient changes in the localization pattern of ecto-nucleotidases in endothelial cells and pericytes, which, coupled with the observed cellular morphological changes, may indicate modified cellular signalling in the hippocampus.
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".