Genetic and molecular landscape of comorbidities in people living with HIV
Bibliographic record
Abstract
People living with HIV (PLHIV) have an increased susceptibility to non-AIDS comorbidities. In this study, we systematically profiled 1,342 PLHIV across five omics layers and immune function. We found latent factors, resulting from integrating epigenomics, transcriptomics, proteomics, metabolomics and immune responses, linked to cardiovascular diseases, the presence of carotid plaque and chronic obstructive pulmonary disease in PLHIV. Mapping four omics layers to genetic variation identified 5,962 molecular quantitative trait loci, illustrating a common genetic regulation in PLHIV compared to healthy individuals. By performing Mendelian randomization, we uncovered host genetic-driven changes in baseline molecules causally related to immune responses upon stimulation with inactivated pathogens. Lastly, we uncovered that the inflammasome, genetically regulated by the NLRP12 locus, contributes to systemic inflammation across multiple molecular layers. This study offers a unique catalog of genetic and molecular determinants of immune function in PLHIV and elucidates molecular pathways driving inter-individual variation in immune response and comorbidities.
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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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".