Impact of deficiency in CCR2 and CX3CR1 receptors on monocytes trafficking in herpes simplex virus encephalitis
Bibliographic record
Abstract
The role played by resident microglia and by the infiltration of peripheral monocytes/macrophages in the innate immune response during herpes simplex virus type 1 (HSV-1) encephalitis was evaluated in mice deficient for the CCR2 and CX3CR1 receptors. CCR2(-/-), CX3CR1(-/-) and C57BL/6 wild-type (WT) male mice were infected intranasally with 7×10(5) p.f.u. of an HSV-1 clinical strain and monitored for signs of encephalitis and survival. In addition, brain viral DNA load and cytokine levels were evaluated by RT-PCR and magnetic bead-based immunoassay, respectively. The cellular response was assessed by fluorescence-activated cell sorting of blood and brain leukocytes. Infected CX3CR1(-/-) mice had a significantly lower mean life expectancy than WT mice (P<0.05, log-rank test) and demonstrated an increased infiltration of Ly-6C(high) 'inflammatory' macrophages in the brain (P<0.05). Infected CCR2(-/-) mice had fewer monocytes (P<0.05), with a lower proportion of Ly-6C(high) 'inflammatory' monocytes in the blood than the other groups (P<0.05). Brain viral DNA loads were only slightly higher in knockout mice than in WT mice (P-value not significant). These data suggest that CCR2 and especially CX3CR1 receptors are necessary to initiate a proper immune response during HSV encephalitis. More precisely, CCR2 is crucial for the emigration of monocytes from the bone marrow to the blood, whereas CX3CR1 is mostly implicated in the regulation of infiltrating cells from the blood to the site of infection and in the control of the immune homeostasis of the brain.
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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.001 | 0.000 |
| 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".