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.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| 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".