Use of Leishmania-Derived Extracellular Vesicles as a Vaccine Platform Against Emerging Viral Diseases
Bibliographic record
Abstract
Extracellular vesicles (EVs) are small membrane-bound “vehicles” responsible for transporting biological materials from source cells to target cells. EVs are thus indirectly capable of inducing changes in the physiological state and behavior of target cells once their contents are successfully released or received. Both prokaryotic and eukaryotic species utilize EVs for a variety of purposes. For example, Leishmania, a protozoan parasite, has demonstrated the ability to secrete immunomodulatory EVs. Various studies have shown that it is not these EVs in themselves, but rather the contents of these EVs that are directly involved in the parasite’s colonization and replication inside host cells. Although using Leishmania as an expression system for recombinant proteins has been explored (investigations have yielded successful and promising results), the use of Leishmania-derived EVs is a burgeoning field of research. In fact, considering extant research on EV-based vaccines, substantial potential lies in exploiting Leishmania-derived EVs as a novel vaccine platform. Hence, this study aims to discuss the immunomodulatory capabilities of Leishmania-derived EVs and their potential application in vaccine development. Lastly, in piecing together the nature of Leishmania-derived EVs and the general therapeutic potential of engineered EVs, it is further hypothesized that Leishmania may be an effective expression system for EVs that harbour desired viral antigens as a part of more efficient vaccine designs.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 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 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".