Characterization of CFF in the sera of plasmodium-infected mice
Bibliographic record
Abstract
The objective of this study was to further characterize the inhibitory serum protein crisis form factor, or CFF, and identify candidate proteins responsible for CFF activity. Four models for serum CFF induction were tested: C57BL/6 mice infected with P. chabaudi adami AS, C57BL/6 mice inoculated with BCG + LPS, and BALB/c mice infected with P. chabaudi adami DS or DK. C57BL/6 mice infected with P. chabaudi adami AS produced sera with the most pronounced level of inhibitory activity and were used for CFF analysis. Heat inactivation did not affect CFF activity, indicating the observed effect was not due to complement proteins, function was lost after heating serum to 100°C. Gel filtration determined that CFF may be in the range of 20 kDa â 80 kDa. Serum depletion by IgY retained CFF activity in the low abundance protein fraction (LAP), which was analyzed by MALDI and LC-QToF mass spectrometry and compared to the LAP from naïve mice. A total of 68 proteins were identified as either up-regulated or unique to the CFF serum, and qualitative analysis revealed one potential CFF candidate: neutrophil gelatinase-associated lipocalin. In conclusion, we have established a model for inducing serum CFF, characterized some of its physical properties, and through proteomic analysis identified a potential CFF candidate.
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 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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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 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".