Characterization of signaling pathways activated by helminth antigens in macrophages (MPF3P.808)
Bibliographic record
Abstract
Abstract Helminths parasites modulate or escape their host’s immune response by different molecular and cellular strategies. One of these is through the interaction of different molecules from their surface with cellular membrane elements of immune cells, modulating signaling pathways. These parasites trigger, control and modulate the early response of macrophages and dendritic cells (DC). The aim of this study is to elucidate the macrophage signaling pathways that are activated in response to a Helminth Parasitic Antigen Fractions (HPAFs) in vitro. Our data show that HPAFs have a biological effect on macrophages. WB analysis using specific anti-phospho-antibodies, showed that the HPAFs can signalize in a time dependent manner. In addition, immunofluorescence experiments showed that HPAFs promote a significant change in macrophages morphology. Different reports indicate that the chemoattraction and change of morphology of the macrophages is an essential step in the host response to different infections. We evaluated the effect of HPAFs on the transcriptional regulation of downstream target genes. Our PCR studies showed that HPAFs-stimulated macrophages could regulate downstream target genes such as TLR-4, Arg-1, Ym-1 and iNOS, showing that HPAFs regulate important signaling pathways in macrophages. Our results suggest that HPAFs may contain molecules that could interact with membrane molecules, activating signaling pathways that are involved in the regulation of the immune response.
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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 | 0.001 | 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".