Application of Quantum Dots to the Study of Liposome Targeting in Leishmaniasis and Malaria
Bibliographic record
Abstract
Nanotechnological devices for therapeutic applications are massively addressed to diseases prevalent in the developed world, particularly cancer, because of the wrong assumption (for both ethical and technical reasons) that nanomedicines are too expensive and thus they can not be applied to diseases of poverty. Here we have applied quantum dots to study at the cellular level the delivery of the contents of liposomes to erythrocytes infected by the malaria parasite Plasmodium falciparum, and to macrophages infected by the leishmaniasis causative agent Leishmania infantum. A number of works have reported on the encapsulation in liposomes of drugs against both diseases as a strategy to increase therapeutic efficacy and decrease unspecific toxicity. Liposome- carried drugs end up inside Plasmodium-infected red blood cells (pRBCs) and in the phagolysosome system of Leishmania- infected macrophages but some knowledge gaps still obscure subcellular events related to these processes. As a proof of concept, we have used confocal fluorescence microscopy to follow the fate in pRBCs and infected macrophages of quantum dots encapsulated in liposomes, and of lysosomes, leishmaniasis and malaria parasites, nuclei, and phagosomes. Our data indicate that liposomes merge their lipid bilayers with pRBC plasma membranes but are engulfed by macrophages, where they fuse with lysosomes. Lysosomes have not been observed to join with phagosomes harboring single Leishmania parasites, whereas in phagosomes where the parasite has divided there is lysosome-specific fluorescence with a concomitant disappearance of lysosomes from the cytosol. In later stages, all the lysosome-specific label is found inside phagosomes whereas the phagosomal marker cadaverine strongly stains the macrophage nucleus, suggesting that Leishmania infection induces in its later stages nuclear degeneration and, possibly, apoptosis of the host cell. These results indicate that induction of macrophage apoptosis should be explored as a possible strategy used by Leishmania to prepare its egress.
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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 | 0.001 |
| 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".