Mild hyperhomocysteinemia induces blood–brain barrier dysfunction but not neuroinflammation in the cerebral cortex and hippocampus of wild-type mice
Bibliographic record
Abstract
This study explored the potential effects of mild hyperhomocysteinemia (HHcy) on the blood-brain barrier (BBB) and neuroinflammation. Seven-week-old male wild-type C57BL/6 mice were fed normal mouse chow (the control group) or a methionine-enriched diet (the HHcy group) for 14 weeks. Mice in the HHcy group exhibited a slight increase in serum Hcy levels (13.56 ± 0.61 μmol/L). Activation of the ERK signaling pathway, up-regulation of matrix metalloproteinase-9 (MMP-9), and degradation of tight junction proteins (occludin and claudin-5) were observed in both the cerebral cortex and hippocampus of mice with mild HHcy. However, microglia were not activated and the levels of tumor necrosis factor-α (TNF-α) and interleukin-1β (IL-1β) were not changed in either the cerebral cortex or hippocampus of mice with mild HHcy. Moreover, the signaling activity of STAT3 also did not differ significantly between the two groups. These findings demonstrate that the BBB is highly vulnerable to homocysteine insult. Even a slight increase in serum homocysteine levels up-regulates MMP-9 expression and disrupts the BBB integrity. Meanwhile, microglia activation or the STAT3 pathway might not contribute to the effects of mild HHcy on the brain.
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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) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".