Functionally active HLA-G polymorphisms are associated with the risk of heterosexual HIV-1 infection in African women
Bibliographic record
Abstract
BACKGROUND: Heterosexual transmission of HIV-1 is the major route of infection worldwide. HLA-G molecules are involved in the inhibition of cell-mediated immune responses and could permit or even promote the propagation of infection in the female reproductive tract. OBJECTIVE: To examine whether HLA-G genetic variants are associated with the risk of heterosexual HIV-1 infection. METHODS: HLA-G polymorphism in DNA samples from 431 (228 HIV-positive and 203 HIV-negative) Zimbabwean women was determined by amplified-restriction fragment length polymorphism and DNA sequencing analyses. RESULTS: Six HLA-G alleles were identified in the study population. HLA-G*0105N, which does not encode functional HLA-G1 proteins, was significantly associated with protection from HIV-1 infection [odds ratio (OR), 0.51; 95% confidence interval (CI), 0.31-0.85; P = 0.0083). The HLA-G*010108 allele was associated with a 2.5-fold increased risk of HIV-1 infection (OR, 2.47; 95% CI, 1.32-4.64; P = 0.0038). In addition, two HLA-G*010108-containing genotypes were associated with elevated risk of HIV-1 infection: HLA-G*010108/010401 (OR, 23.6; 95% CI, 1.39-401.7; P = 0.0009) and G*010101/010108 (OR, 5.6; 95% CI, 1.24-25.3; P = 0.012). CONCLUSION: This study demonstrates that functionally active HLA-G polymorphisms are associated with altered risk of HIV-1 infection in African women. This provides evidence to support the hypothesis that modulation of HLA-G expression by HIV-1 can contribute to the risk of infection. Targeted interventions to reduce or block HLA-G expression in genital tissues could lead to novel strategies for the prevention of heterosexual HIV-1 transmission.
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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".