Amplification of the signal transducer and activator of transcription I signaling pathway and its association with apoptosis in monocytes from HIV-infected patients
Bibliographic record
Abstract
BACKGROUND: Monocytes/macrophages play a major role in inflammation and pathogen clearance. However, chronic immune activation observed during HIV infection may also cause cellular dysfunction and tissue pathology. Indeed, several defects have been reported in these cells during HIV infections. As cytokine responsiveness via the signal transducer and activator of transcription (STAT1) signaling pathway is critical for these functions, we hypothesized that its activation in monocytes from HIV-positive patients may be disrupted. OBJECTIVES: To evaluate cytokine-dependent STAT signaling in monocytes from HIV-positive patients and study the biological impact and molecular mechanisms responsible for the alterations in the interferon (IFN)-gamma-induced STAT1 pathway observed. METHODS: Monocytes from chronically infected HIV-positive patients on and off antiretroviral therapy were assayed respectively for STAT activation, apoptosis, and other downstream effects by flow cytometry, real-time PCR and enzyme-linked immunosorbent assay. RESULTS: Unlike IFN-alpha, interleukin-10, granulocyte macrophage colony-stimulating factor, and interleukin-4, only IFN-gamma-induced STAT1 activation was upregulated in monocytes from off-therapy patients compared with those on antiretroviral therapy and HIV-negative controls, correlating with increased total STAT1 expression. Among the IFN-gamma responsive genes (IRF-1, CXCL9, CXCL10) studied, differential effects were observed, likely reflecting the more complex regulatory control over their expression. Interestingly, spontaneous monocyte apoptosis was elevated in HIV-positive patients off-therapy compared with HIV-negative controls and correlated with STAT1 expression. IFN-gamma-induced apoptosis was also increased and persisted despite seemingly effective antiretroviral therapy. CONCLUSION: Amplification of STAT1 signaling and apoptosis may reflect the chronic nature of immune activation in HIV-positive patients and contribute to the functional impairment observed in monocytes through the course of the disease.
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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 | 0.000 | 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) | 0.000 | 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".