Characterization of the Plasmacytoid Dendritic Cell Response to Transmitted/Founder and Nontransmitted Variants of HIV-1
Bibliographic record
Abstract
The plasmacytoid dendritic cell (pDC) is the first cell type recruited to the site of HIV-1 exposure; however, its contribution to the viral bottleneck in HIV-1 transmission has not been explored previously. We hypothesized that transmitted/founder viruses are able to avoid the pDC response. In this study, we used previously established donor pair-linked transmitted/founder and nontransmitted (or chronic) variants of HIV-1 to stimulate pDCs. Transmitted/founder HIV-1, instead of suppressing pDC responses, induced IFN-α and TNF-α secretion to levels comparable to those induced by viruses from the transmitting partner. We noted several unique traits of chronic viruses, including polarization between IFN-α and TNF-α production as well as a strong relationship between IFN-α secretion and the resistance of the virus to neutralization. These data rule out the possibility that TF viruses preferentially suppress pDCs in comparison to the pDC response to nontransmitted HIV variants. pDCs may, however, be important drivers of viral evolution in vivo .
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 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 | 0.001 |
| 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".