Exosomes and other microvesicles in infection biology: organelles with unanticipated phenotypes
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The release of exosomes and other microvesicles by diverse prokaryotic and eukaryotic cells and organisms was first appreciated early in the 20th century. The functional properties of these organelles, however, have only recently been the focus of rigorous investigation. In this review, we discuss the release of microvesicles of varying complexity by diverse microbial pathogens. This includes vesicle secretion by Gram-negative bacteria, eukaryotic parasites of the kinetoplast lineage and opportunistic fungal pathogens of both the ascomycetes and basidiomycetes lineages. We also discuss vesicle release from mammalian cells brought about as a result of infection with bacteria, viruses and prions. In addition, we review the evidence showing that in their specific microenvironments, release of these organelles from diverse pathogens contributes to pathogenesis. Germane to this and based upon recent findings with Leishmania, we propose a model whereby exosome release by an intracellular pathogen serves as a general mechanism for effector molecule delivery from eukaryotic pathogen to host cell cytosol. These new findings linking exosomes and other microvesicles to infection biology have important implications for understanding the immune response to infection and for the design of research strategies aimed at the development of novel therapeutics and vaccines.
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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 it