Cyclophilin D disruption attenuates lipopolysaccharide-induced inflammatory response in primary mouse macrophages
Bibliographic record
Abstract
According to recent results, various mitochondrial processes can actively regulate the immune response. In the present report, we studied whether mitochondrial permeability transition (mPT) has such a role. To this end, we compared bacterial lipopolysaccharide (LPS)-induced inflammatory response in cyclophilin D (CypD) knock-out and wild-type mouse resident peritoneal macrophages. CypD is a regulator of mPT; therefore, mPT is damaged in CypD(-/-) cells. We chose this genetic modification-based model because the mPT inhibitor cyclosporine A regulates inflammatory processes by several pathways unrelated to the mitochondria. The LPS increased mitochondrial depolarisation, cellular and mitochondrial reactive oxygen species production, nuclear factor-κB activation, and nitrite- and tumour necrosis factor α accumulation in wild-type cells, but these changes were diminished or absent in the CypD-deficient macrophages. Additionally, LPS enhanced Akt phosphorylation/activation as well as FOXO1 and FOXO3a phosphorylation/inactivation both in wild-type and CypD(-/-) cells. However, Akt and FOXO phosphorylation was significantly more pronounced in CypD-deficient compared to wild-type macrophages. These results provide the first pieces of experimental evidence for the functional regulatory role of mPT in the LPS-induced early inflammatory response of macrophages.
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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".