Immune checkpoint dysregulation and immune activation in HIV-exposed uninfected children
Bibliographic record
Abstract
Abstract Children who are HIV-exposed uninfected (CHEU) are a growing population worldwide. CHEU suffer greater morbidity and mortality from infectious diseases, likely due to their impaired cell-mediated immunity (CMI) and hyper-inflammatory responses. As CMI and inflammatory responses are regulated by immune checkpoints (ICPs) that play a key role in maintaining immune homeostasis, we determined whether CHEU had altered expression of the ICP axes. We used multiplex immunoassays to quantify plasma levels of 16 soluble ICPs (sBTLA, sCD27, sCD28, sCD40, sCD80, sCTLA-4, sGITR, sGITRL, sHVEM, sICOS, sLAG-3, sLIGHT, sPD-1, sPD-L1, sTIM-3, and sTLR-2) from 46 CHEU and 37 children who are HIV-unexposed uninfected (CHUU) from AMPATH in western Kenya. We demonstrated that all ICPS except GITR were detected in all samples. Compared to CHUU, CHEU had significantly higher levels of 2 sICPs: soluble CD40 (sCD40) and soluble TIM-3 (sTIM-3). As CD40 plays an essential role in antigen-presenting cell functions, while TIM-3 is a key member of immunosuppressive ICPs that inactivate T cell activity, the dysregulated sCD40 and sTIM-3 could play a role in the impaired CMI in CHEU and can be explored as biomarkers for adverse health outcomes in CHEU. A previous study showed that the percentage of activated CD8 T cells (CD8+CD38high) was increased in Canadian CHEU. Therefore, we also studied the activation of T cells in PBMCs from Kenya and found that CHEU had higher percentages of activated CD4 (CD4+CD38+HLA-DR+) and CD8 (CD8+CD38+HLA-DR+) T cells in the peripheral blood compared to CHUU. Our study demonstrated that the ICP axes were dysregulated in CHEU, and we provided additional support to the notion that the immune system in CHEU is altered.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 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".