Macrophage-Mediated Innate Host Defense Against Protozoan Parasites
Bibliographic record
Abstract
Macrophages are immune cells that play a pivotal role in the detection and elimination of pathogenic microorganisms. Macrophages possess a variety of surface receptors devoted to the recognition of non-self by discriminating between host and pathogen-derived structures. Recognition of foreign microorganisms by the macrophage ultimately results in phagocytosis and the eventual destruction of microorganisms by lysosomal enzymes, toxic reactive oxygen and nitrogen intermediates, and/or nutrient deprivational mechanisms. However, protozoan parasites such as Toxoplasma gondii, Trypanosoma cruzi, and Leishmania spp., parasitize macrophages, utilizing them as a host cell for their growth, replication, and/or maintenance of their life cycles. The protozoan parasites of the genus Leishmania are unique in that their intracellular replication in the host is predominantly restricted to a single cell type, the macrophage. This review focuses on the cellular processes involved in macrophage-mediated host defense against protozoan parasites, from the initial host-parasite interactions that mediate recognition to the mechanisms employed by macrophages to destroy and eliminate the pathogen. As an example model system of experimental study, we describe in more more detail the cellular interactions between macrophages and the obligate intracellular parasite of mammalian macrophages, Leishmania spp.
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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 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.003 |
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".