Temporal modulation of gene expression in a controlled Schistosoma mansoni human infection model
Bibliographic record
Abstract
Background Schistosomiasis is caused by parasitic blood flukes of the genus Schistosoma . Despite ongoing mass drug administration efforts, the disease remains a major public health burden in endemic regions. A better understanding of early host responses to schistosomiasis is critical for developing effective vaccines and therapeutics. Methods We conducted a longitudinal transcriptomic study of peripheral blood samples from 30 Schistosoma -naïve volunteers participating in two controlled human infection trials with male- or female-only S. mansoni cercariae. Blood was collected at six time points over 20 weeks post-infection. Whole-transcriptome RNA sequencing and integrative analyses, including differential gene expression, gene set enrichment, protein interaction networks, co-expression clustering, and immune module profiling, were employed to characterize temporal modulation of genes related to immune responses. Results Robust and highly time-dependent transcriptional responses were observed, peaking at Week 4 post-infection. Differential gene expression and pathway analyses revealed activation of immune responses, including type I and II interferon signaling, chemokine-mediated pathways, and antigen presentation. Notably, both Th1 and Th2 signatures were evident at Week 4. Key immune hubs included IFNG , TNF , and IL1B , along with transcriptional regulators such as STAT1 and IRF7 . Blood transcription module analysis further highlighted transient activation of interferon and plasma cell-related responses. Conclusions This study provides a comprehensive transcriptional map of early host responses to S. mansoni infection in humans. The findings underscore the central role of interferon pathways, early mixed Th1/Th2 polarization, and inflammation-associated gene signatures in shaping host response to S. mansoni infection. These insights may inform the rational design of vaccines and biomarkers for schistosomiasis.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 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".