Lysophosphatidylcholine induces glial cell activation: Role of rho kinase
Bibliographic record
Abstract
Lysophosphatidylcholine (LPC), a major phospholipid component of atherogenic oxidized LDL, is implicated in atherosclerosis and, recently, in neurodegenerative diseases. We investigated the immunomodulatory functions of LPC in the central nervous system (CNS) using both an in vivo rat model, and in vitro culture systems of human primary astrocytes and a microglia cell line, HMO6. Compared with PBS injection, 20 nmol LPC-injection into the rat striatum increased astrocyte and microglial accumulation and elevated iNOS expression; concomitantly a time-dependent decrease in number of neurons was exhibited. In vitro studies on astrocytes and HMO6 cells showed that LPC increased the gene expression of proinflammatory factors IL-1beta, COX-2, and GM-CSF. LPC also induced chemotactic responses in HMO6 cells. Inhibition of rho kinase by fasudil, Y27632, or expressing a dominant negative form of rho kinase inhibited the LPC-induced IL-1beta mRNA expression in both astrocytes and HMO6. Moreover, intraperitoneal fasudil injection inhibited the LPC-induced microglial accumulation and iNOS expression and also was effective in protecting against neuronal loss. Silencing G2A, a specific receptor for LPC, inhibited proinflammatory gene expression and HMO6 migration. Overall, our results indicate that LPC induced considerable neuroinflammatory reactivity in glia mediated by rho kinase-dependent pathways with inhibition of these pathways conferring significant extents of neuroprotection.
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 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".