Polarization of Monocytic Myeloid-Derived Suppressor Cells by Hepatitis B Surface Antigen Is Mediated via ERK/IL-6/STAT3 Signaling Feedback and Restrains the Activation of T Cells in Chronic Hepatitis B Virus Infection
Bibliographic record
Abstract
Chronic hepatitis B virus (HBV) infection is characterized by T cell tolerance to virus. Although inhibition of T cell responses by myeloid-derived suppressor cells (MDSCs) has been observed in patients with chronic hepatitis B (CHB), the mechanism for expansion of MDSCs remains ambiguous. In this study, a significant increased frequency of monocytic MDSCs (mMDSCs) was shown positively correlated to level of HBsAg in the patients with CHB. We further found hepatitis B surface Ag (HBsAg) efficiently promoted differentiation of mMDSCs in vitro, and monocytes in PBMCs performed as the progenitors. This required the activation of ERK/IL-6/STAT3 signaling feedback. Importantly, the mMDSCs polarized by HBsAg in vitro acquired the ability to suppress T cell activation. Additionally, treatment of all-trans retinoic acid, an MDSC-targeted drug, restored the proliferation and IFN-γ production by HBV-specific CD4(+) and CD8(+) T cells in PBMCs from patients with CHB and prevented increase of viral load in mouse model. In summary, HBsAg maintains HBV persistence and suppresses T cell responses by promoting differentiation of monocytes into mMDSCs. A therapy aimed at the abrogation of MDSCs may help to disrupt immune suppression in patients with CHB.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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) | 0.000 | 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".