Relationship of in vivo and ex vivo levels of TH1 and TH2 cytokines with viremia in HAART patients with and without opportunistic infections
Bibliographic record
Abstract
TH1/TH2 cytokines' imbalance is critical to HIV-1 progression and pathogenesis. Opportunistic infections-related cytokine perturbations in the setting of highly active antiretroviral therapy (HAART) are unclear. The objective of this cross-sectional study was to identify the relationship between TH1/TH2 cytokines and viremia in HAART patients with/without opportunistic infections. Sera from 17 HAART patients with and 43 without opportunistic infections, and 20 HIV-seronegative controls were used to measure the levels of IL-2, IFN-gamma, IL-4, and IL-10 proteins and mRNAs by ELISA and RNase protection assays, respectively. Ex vivo cytokine production by the CD4+/CD8+ T cells from four low and four high viremia patients randomly selected from non-opportunistic infection group was also evaluated. Serum IL-2 and IFN-gamma levels were lower (P < 0.05) in patients than controls; this reduction was more pronounced for IFN-gamma in non-opportunistic infection patients. IL-4 and IL-10 were higher in patients than controls; this elevation was more remarkable in patients with opportunistic infections. Serum TH1/TH2 cytokine levels correlated with viremia. In vitro cytokine production assays showed that CD4+ T cells from low viremia patients mainly produced IL-2 and IFN-gamma, CD8+ T cells from high viremia patients produced IL-4, and both subsets comparably produced IL-10 in patients with similar viremia. Positive correlations between sera/supernatant proteins and cellular mRNAs were also found statistically significant (P < 0.05). It was therefore concluded that in vivo TH1/TH2 cytokine levels in HAART patients and their ex vivo production by the CD4+/CD8+ T cells correlated with viremia and were also modulated by the presence of opportunistic infections in these patients.
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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".