HIV infection is associated with reduced serum alpha-1-antitrypsin concentrations
Bibliographic record
Abstract
PURPOSE: Several observations suggest the presence of HIV-suppressive factors in the fluid phase of blood. Alpha-1-antitrypsin (AAT), the most abundant serine protease inhibitor in the circulation, has potent anti-HIV activity in vitro, and may function as an endogenous HIV suppressor. Therefore, we assessed serum AAT concentrations for association with HIV infection. METHODS: In this cross-sectional study, serum AAT concentrations were measured in 66 persons with HIV infection and in 45 healthy persons (Controls). In the HIV-infected group, antiretroviral therapy (ART) use was assessed and CD4+ T cell levels and plasma HIV RNA were quantified. RESULTS: Median AAT concentration was significantly lower in the HIV-infected group (1.64 mg/mL) in comparison with Controls (1.94 mg/mL; p=0.001). AAT reduction was most pronounced in the HIV-infected subgroup with CD4+ T cell levels > 200 cells/µL in comparison with Controls (p < 0.01). Serum AAT concentrations < 1.0 mg/mL are clinically significant, and concentrations below this level were identified in 4.5% of the HIV-infected group and in no Control subjects. No association between AAT levels and viral load or use of ART was observed in HIV-infected subjects. CONCLUSION: The association between reduced serum AAT concentration and HIV infection is consistent with a role for AAT as an endogenous HIV suppressor.
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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 | 0.001 |
| 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) | 0.002 | 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".