Interleukin-1A May Illuminate Differential Effects of the Retinal Artery Caliber in HIV Patients
Bibliographic record
Abstract
Background: Retinal artery caliber (RAC) is narrower in human immunodeficiency virus (HIV)-infected patients beginning antiretroviral therapy (ART). We aimed to assess associations between variations in genes encoding inflammatory mediators and natural killer receptors and retinal artery caliber (RAC) in HIV patients beginning ART.Materials and Methods: Seventy-nine HIV positive patients beginning ART with less than 200 cluster of differentiation (CD) 4 T-cells/μL were recruited. Examinations were performed before ART (V0) and at months 3, 6 and 12 (V3, V6, V12). The study was approved by ethics committees and informed consent was obtained from each subject.Results: Right and left RAC of the HIV patients were narrower than healthy controls (p=0.016 for right RAC) and narrowed further on ART, but demographic associations with the right and left RAC were not identical. Here we show that polymorphisms in genes encoding NK receptors or TNF activity had no significant impact, but right RAC was associated with carriage of allele 2 at IL1A+4845 (p=0.037 after 12 months on ART).Conclusion: Overall the paradoxical reduction in the RAC in HIV patients responding to ART was not modified by genotypes known to affect NK cell function or TNF responses, but IL1A genotype may modify the decline in the right RAC.Keywords: anti-retroviral therapy, CMV, HIV, IL1A, retinal artery caliber
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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 | 0.000 | 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) | 0.002 | 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".