Higher SLPI Expression, Lower Immune Activation, and Increased Frequency of Immune Cells in a Cohort of Colombian HIV-1 Controllers
Bibliographic record
Abstract
BACKGROUND: There are 2 new phenotypes of HIV-1-positive individuals who exhibit a spontaneous and sustained control of viral replication at least for 1 year without antiretroviral therapy (elite controllers <50 copies/mL and viremic controllers <2000 copies/mL). Mechanisms related to this spontaneous control of viral replication are poorly understood. METHODS: The study included HIV-1 controllers (patients with at least 1 year of HIV-1 diagnosis, highly active antiretroviral therapy naive, and with viral loads less than 2000 copies/mL) and HIV-1 progressors without antiretroviral therapy (viral load >2500 copies/mL, and CD4 T-cell count >250 cells/μL at the time of sampling). The expression of soluble factors, leukocyte protease inhibitor (SLPI) and human α-defensins-1 (HAD-1), was measured by real-time polymerase chain reaction from neutrophil cultures with or without HIV stimulation; the frequency and phenotype of innate and adaptive immune cells were determined by flow cytometry, and frequency of human leukocyte antigen alleles was determined by polymerase chain reaction sequence-specific oligonucleotide typing. RESULTS: As expected, HIV-1 controllers had higher CD4 T-cell counts and lower viral load when compared with HIV-1 progressor individuals; in addition, they exhibited lower expression of activation markers, higher frequency of myeloid dendritic cell, lower percentage of regulatory T cells and natural killer cells, and higher expression of SLPI. CONCLUSIONS: All together, these findings suggest that the control of the immune activation status and the production of antiviral proteins by innate immune cells could be associated to the mechanisms involved in the control of HIV-1 replication and better preservation of the CD4 T-cell count.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 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) | 0.002 | 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".