IL-7-induced proliferation of peripheral Th17 cells is impaired in HAART-controlled HIV infection
Bibliographic record
Abstract
OBJECTIVES: Th17 cells are key regulators of functional immunity in mucosal tissues, including the gut-associated lymphoid tissue (GALT), an important site of immune impairment in HIV infection. During HIV infection, Th17 cells are lost in large numbers from the GALT. Despite the recovery of peripheral CD4 T cells that accompanies suppression of viral replication with HAART, Th17 cells in GALT are not completely restored. IL-7 is essential for the survival and proliferation of T cells, but its signaling through its receptor IL-7Rα (CD127), is impaired in CD8 T cells and thymocytes during HIV infection. We set out to determine if decreased CD127 expression or impaired CD127 signaling may be the cause of Th17 impairment in HAART-controlled HIV infection. DESIGN: Healthy and HIV donors on HAART were selected for this study of Th17 cell function in HIV. METHODS: Peripheral CD4 T cells and Th17 cells were isolated using magnetic beads, then stimulated with IL-7. CD127 expression and the phosphorylation of signaling molecules was determined using flow cytometry. Proliferation was determined with a CFSE dilution assay. RESULTS: CD127 was not decreased on Th17 cells from HAART-controlled HIV individuals, in fact, the percentage of Th17 cells that express CD127 was increased in treated HIV individuals. Furthermore, Th17 cells from HAART-controlled individuals, have normal IL-7-induced STAT5 and Bcl-2 responses, but vastly decreased proliferative responses. CONCLUSION: This reduced IL-7 responsiveness may explain the lack of Th17 cell recovery and ongoing systemic immune activation that persists despite well treated HIV infection.
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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 | 0.000 |
| 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) | 0.002 | 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".