Different cortical and subcortical astroglial responsiveness in rats with acute liver failure
Bibliographic record
Abstract
Hepatic encephalopathy (HE) is a neuropsychiatric complication of liver failure. Previous studies described astroglia alterations in HE, but regional changes have not been well investigated. This study addresses regional astroglial response by exploring glial fibrillary acidic protein (GFAP) immunoreactivity in cortical structures including somatosensory (S1Tr and S1BF), piriform (Pir), and perirhinal (PRh) cortices, and subcortical regions including corpus callosum (CC), ventromedial thalamus (VMT), mammillothalamic tract (MTT), and dorsomedial hypothalamic nucleus (DHN) in rats with acute liver failure (ALF) sacrificed at coma stage. Our data showed decreased numbers of astrocytes in S1Tr, Pir, and CC in ALF rats. GFAP-immunoreactive cells were increased within other regions including PRh, VMT, MTT, and DHN. Cell morphometric analysis showed significant increase in GFAP-immunoreactive astrocyte processes and cell bodies in cortical and subcortical regions but not in CC and DHN. However, astrocyte perimeters were increased, particularly in S1Tr and VMT. Our study demonstrates regional specificity including (1) regions with astrocyte activation associated with an increase of GFAP-immunostaining and astrocyte cell counts, together with (2) unaltered GFAP components, and (3) regions characterized by presumably inactive astrocyte with a reduced GFAP-immunostaining. These findings may reflect either different regional alterations in HE, or stages of an alteration progressing differently in different regions.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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".