Innate inflammatory and phagocytic responses to Plasmodium falciparum: linked processes or molecularly discrete pathways?s
Bibliographic record
Abstract
Background: Effective innate immune responses are important for control of malaria blood-stage infection and in preventing progression to severe malaria in non-immune individuals. Key innate defenses include a tightly regulated inflammatory response and host clearance of parasitized erythrocytes (PE). Pattern recognition receptors on macrophages mediate these processes: parasite glycosylphosphatidylinositol (GPI) activates TLR2 to induce inflammation – an excess of which is associated with severe malaria – while scavenger receptor CD36 mediates non-opsonic uptake of PEs. Both pathways are potential therapeutic targets, but it is unclear whether they are interdependent. Findings in other systems implicate CD36 in inflammation and TLR2 in phagocytosis, and recent evidence indicates that CD36 and TLR2 can directly cooperate. Methods: We investigated whether the innate inflammatory and phagocytic responses of macrophages to P. falciparum are separable: does CD36-mediated PE internalization have inflammatory outcomes, and does TLR2 regulate PE uptake? CD36-mediated endocytosis failed to induce TNFα production. As a more representative model of innate PE uptake, α-CD36 EBABs (Erythrocyte-Biotin-Avidin-Biotinylated antibody) were generated; macrophages internalized EBABs in a CD36-specific manner via a signaling pathway similar to that of PE uptake. Results: Compared to controls, neither PE nor EBAB internalization induced TNFα release, indicating that the inflammatory consequences of CD36 engagement are ligand dependent. Regarding TLR2 regulation of PE uptake, wild type and Tlr2-/- macrophages showed no differences in EBAB or PE uptake. Pre-treatment of macrophages with P. falciparum GPI enhanced EBAB internalization, but this effect was CD36-independent and generalizable to other TLR ligands. Conclusions: These results suggest that innate inflammatory and phagocytic responses of macrophages to malaria are discrete. Thus, therapeutic augmentation of CD36-mediated PE uptake should not exacerbate inflammation, nor should inhibition of the TLR2 pathway compromise CD36-mediated PE clearance. The role of TLR-enhanced internalization in malaria will be further examined.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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".