Integrative Mechanistic Studies Identify Reticulon-3 as a Critical Modulator of Infectious Exosome-Driven Dengue Pathogenesis
Bibliographic record
Abstract
Dengue virus (DENV) continues to pose a major global health burden, yet therapeutic options remain limited due to the virus's capacity for immune evasion, serotype variability, and persistence. While exosomes have been implicated as vehicles for viral dissemination and immune evasion, the cellular mechanisms underlying their generation during DENV infection remain poorly defined. Here, we identify the endoplasmic reticulum (ER)-associated host protein Reticulon 3 (RTN3), particularly its short isoform RTN3S, as a critical regulator of replication-competent viral cargo loading during infectious exosome biogenesis in DENV infection. Using hepatic and monocytic cell models, we revealed that RTN3S expression is induced upon infection and that RTN3S directly associates with DENV replication complexes, facilitating the packaging of replication-competent viral RNA and host proteins into infectious exosomes. Loss of RTN3 function via CRISPR-Cas9 markedly attenuated exosome production and reduced the transfer of infectious viral components to recipient naïve cells. Mutational analyses of RTN3S further revealed that both its N-terminal amphipathic and C-terminal domains are essential for exosomal loading of viral material. Single-cell RNA-sequencing of peripheral blood mononuclear cells (PBMCs) from DENV-infected individuals confirmed RTN3 upregulation in monocytes, particularly in those displaying intermediate/classical phenotypes, and revealed a transcriptional signature linking RTN3 to ER stress, vesicle trafficking, and impaired antiviral responses. These findings uncover a previously unrecognized RTN3-centered mechanism by which DENV hijacks the host exosomal machinery to propagate infection and potentially escape immune surveillance. Thus, our findings demonstrate a novel function for RTN3 in orchestrating the biogenesis of infectious exosomes, providing mechanistic insight and identifying a new therapeutic axis for combating flavivirus infections through host-directed approaches.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| 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) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".