Rapid human immunodeficiency virus disease progression is associated with human leukocyte antigen-B homozygocity and human leukocyte antigen-B51 in a cohort from Manitoba, Canada
Bibliographic record
Abstract
BACKGROUND: Human immunodeficiency virus type 1 (HIV-1) infection is associated with variable rates of disease progression, influenced by the quality of CD8 T-lymphocyte response, which is determined by human leukocyte antigen (HLA) I alleles. Some individuals progress slowly and maintain viral control, while at the opposite end of the spectrum some individuals endure a faster progression with rapid CD4 decline. We sought to determine the role of HLA-B allele frequency on rapid HIV disease progression. It was hypothesized that rapid progression is associated with the presence of high allele frequency of HLA-B35 and HLA-B homozygocity. METHODS: This retrospective cohort study was conducted in the Manitoba HIV Program, Health Sciences Centre, a tertiary care facility in Winnipeg, Manitoba, Canada. We defined a set of new criteria to describe a subset of individuals with the most rapid HIV disease progression, and collected demographic, clinical, laboratory (CD4 count, viral load) and HLA data on a subset of 20 individuals meeting these criteria. RESULTS: Among those individuals who display extreme rapid progression, an overrepresentation of Aboriginal ethnicities, high frequencies of HLA-B35 and significantly higher rates of HLA-B51, as well as a very high rate of homozygocity for HLA-B alleles, were observed. CONCLUSIONS: Individuals with the most rapid disease progression have higher rates of HLA-B homozygocity, HLA-B51 alleles and higher viral loads than those with normal progression rates. This group, at the extreme end of the spectrum of progression, should be targeted for early treatment.
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.005 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".