Targeted siRNA Silencing of Indoleamine 2, 3-Dioxygenase in Antigen-presenting Cells Using Mannose-conjugated Liposomes
Bibliographic record
Abstract
Indoleamine 2, 3-dioxygenase (IDO) expression in dendritic cells (DCs) leads to the inhibition of T-cell activation, induction of T-cell apoptosis, and promotion of T-cell differentiation into regulatory T cells. All of these could promote tumor escapement of the host's immune surveillance system. We hypothesized that DC-targeted gene silencing of IDO would enhance antitumor immunity and thus restrain tumor growth. Mannose receptors are highly expressed in antigen-presenting cells (APCs) including DCs. In this study, we developed a novel APC-targeted small interfering RNA delivery system using mannosed liposomes (Man-lipo) with encapsulated IDO small interfering RNA (Man-lipo-siIDO), which preferentially knocked down IDO expression in draining lymph node and spleen of melanoma-bearing mice. Mice treated with Man-lipo-siIDO displayed a delayed time of onset of implanted murine melanomas, increased survival time, reduced tumor size, and increased reactivity of T cells from spleen and lymph nodes against melanoma antigens. The enhanced antitumor immunity may be linked to inhibition of apoptosis in CD8 and CD4 T cells as well as Treg cells in spleen and lymph nodes. This study is the first to demonstrate that Man-lipo-siIDO can preferentially targets APCs and efficiently silence IDO expression in vitro and in vivo; events expected to enhance antitumor immune reactions against melanoma xenografts. This study supports the hypothesis that Man-lipo-siIDO may possess the potential for development as an immune-targeting therapeutic anticancer agent.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.000 | 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".