IL-7-dependent STAT-5 activation and CD8+ T cell proliferation are impaired in HIV infection
Bibliographic record
Abstract
This study tests the hypothesis that IL-7 signaling and activity of CD8(+) T cells are impaired in HIV infection. IL-7 is necessary for optimal CTL activity and T cell survival and proliferation. Defects in IL-7R signaling may contribute to impaired activity of IL-7 observed in progressive HIV disease. A decreased proportion of CD8(+) T cells expressing the IL-7Rα chain (CD127) in progressive HIV disease would be expected to affect IL-7 activity. Alternatively, disease-associated defects of remaining CD8(+)CD127(+) T cells may influence IL-7 responsiveness. Therefore, the IL-7 responsiveness of CD8(+)CD127(+) T cells from HIV(-) and untreated or treated HIV(+) individuals was investigated. Blood was collected from HIV(-) and untreated or effectively treated HIV(+) (<50 viral copies/ml for >1 year) individuals, and CD8(+)CD127(+) T cells were isolated and cultured with IL-7. Indicators of IL-7 signaling (P-STAT5) and activity (Bcl-2 and proliferation) were evaluated by flow cytometry. Isolated CD8(+)CD127(+) T cells from untreated HIV(+) individuals expressed significantly less P-STAT5 in response to IL-7 compared with CD8(+)CD127(+) T cells from HIV(-) individuals. In effectively treated HIV(+) individuals, CD8(+)CD127(+) T cells also expressed significantly lower levels of P-STAT5 compared with HIV(-) individuals. IL-7-dependent proliferation of CD8(+)CD127(+) T cells from untreated HIV(+) individuals was similarly impaired. In contrast, IL-7-induced Bcl-2 expression was not impaired in CD8(+)CD127(+) T cells from HIV(+) individuals. These data demonstrate that IL-7/IL-7R dysfunction in HIV infection may contribute to IL-7-specific signaling defects. Decreased, IL-7-dependent activation of STAT5 and impaired proliferation may negatively impact the maintenance of CD8(+) T cell responsiveness in 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 | 0.000 |
| 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".