Distinct systemic immune responses in asymptomatic and symptomatic dengue virus infection
Bibliographic record
Abstract
A comprehensive understanding of human systemic immune responses to mosquito-borne dengue virus (DENV) infection is vital for addressing challenges posed by viral heterologous serotypes and potential adverse memory immune responses. Asymptomatic DENV infection offers an opportunity to explore protective immunity because infected individuals effectively clear the virus without symptomatic manifestations. However, data on asymptomatic dengue are scarce because of limited sample availability during silent viremia. Here, we conducted single-cell RNA and immune receptor sequencing of peripheral blood mononuclear cells (PBMCs) from donors with varying disease severities including asymptomatic dengue and performed longitudinal analysis in a symptomatic dengue cohort, enabling identification of distinct immune responses. In asymptomatic dengue, we observed potential indications of enhanced viral antigen processing via MHC-I, correlating with increased CD8 effector T cell activities, distinct NK cell profiles, and enriched IGHA1 + plasmablasts. In contrast, symptomatic dengue cases exhibited indications toward antibody-mediated viral entry, elevated type I interferon responses, and IL-10–associated expansion of IGHG1 + plasmablasts with biased V(D)J gene usage and a shared B cell receptor clonotype network. Our study reports a gene expression and immune receptor repertoire resource for systemic immune responses to DENV infection and suggests distinct mechanisms for potential protection and pathogenicity in individuals with asymptomatic compared with symptomatic dengue.
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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".