A higher CD4/CD8 ratio correlates with an ultralow cell-associated HIV-1 DNA level in chronically infected patients on antiretroviral therapy: a case control study
Bibliographic record
Abstract
BACKGROUND: The HIV-1 DNA reservoir is an important marker that reflects viro-immunological status and can be affected by multiple viral or cellular factors. Determining the potential factors associated with the size of the HIV-1 DNA reservoir benefits the surveillance of disease progression and antiretroviral treatments. METHODS: We conducted a case control study to explore the factors that may affect the level of HIV-1 DNA. The level of HIV-1 total DNA in peripheral blood at 5 time points was quantified by quantitative PCR. Chronically HIV-1-infected patients whose cell-associated HIV-1 DNA levels were below the detection limit after receiving antiretroviral therapy (ART) for 96 weeks were identified (group 1), and patients who still had detectable levels of cell-associated HIV-1 DNA after ATR treatment were used as the control (group 2). RESULTS: T-cell count (average: 511 ± 191 versus 715 ± 256 cells/μL, p = 0.013) and a higher CD4/CD8 ratio (average: 1.04 ± 0.37 versus 0.72 ± 0.32, respectively, p = 0.002) at week 96. In the multivariate analysis, patients with a higher CD4/CD8 ratio at week 96 were more likely to have levels of HIV-1 DNA below the detection limit (per 0.1 increase, OR = 1.29, 95% CI, 1.05-1.59, p = 0.017). CONCLUSION: After matching baseline HIV-1 DNA levels, a higher CD4/CD8 ratio at week 96 was the only factor associated with an ultralow level of HIV-1 DNA. The CD4/CD8 ratio can be used as an easy biomarker to help monitor patients on ART who will be selected to participate in eradication studies.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| 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".