Oral abstracts of the 11th IAS Conference on HIV Science, 18‐21 July 2021
Bibliographic record
Abstract
Background: SARS-CoV-2-specific immune response features in PLWHA remain to be fully elucidated.The impact of HIV over the immune profile of lymphocyte populations in PLWHA recovered from COVID-19, as well as the humoral and cellular response secondary to COVID-19 were evaluated.Methods: Samples from donors to the Argentinean Biobank of Infectious Diseases with COVID-19 diagnosis: Twenty-one PLWHA on ART and 21 HIV negative (HIVneg) were included.Plasma and PBMC were obtained.SARS-CoV-2-specific IgG/IgM levels and IgG titres were determined by ELISA (COVIDAR test).Antibody neutralization capacity was evaluated against wild-type SARS-CoV-2.IFN-g-secreting cells were detected by ELISPOT using SARS-CoV-2 Spike, RBD or Nucleocapsid protein (10 mg/mL,) or overlapping peptide pools spanning Spike or Nucleocapsid proteins (1mg/mL).The frequency and phenotype of bulk T, B and NK cells were assessed by flow cytometry.Results: PLWHA median age was 47 (IQR: 39.5 to 54); LTCD4 = 513 cells/lL (IQR: 351 to 873).HIVneg median age was 41 (IQR: 35 to 57).All individuals presented mild/moderate COVID-19.Mean time from symptoms onset to donation was 44 days (IQR: 29.5 to 55) for HIVneg and 62 (IQR: 35 to 93) for PLWHA.75% of PLWHA and 85% of HIVneg had detectable SARS-CoV-2-specific antibodies, with IgG levels not differing between groups.Among PLWHA, neutralization capacity correlated with IgG titres (r: 0.90, p < 0.001), LTCD4 count (r: 0.85, p: 0.001), LTCD8 count (r: 0.97, p < 0.001) and age (r: 0.63, p: 0.021).All donors, including those with undetectable antibody response, had SARS-CoV2-specific cellular immunity.While HIVneg displayed IFN-g-secreting cells in response to S protein, RBD and S peptide pools, PLWHA responses were detected in S protein and N peptide pool, although with decreased magnitude (both p < 0.01).Both groups displayed similar Treg (CD127-CD25+CD4+T) frequency, similar effector/memory and T-helper profile for LTCD4, and comparable exhaustion and memory profiles for LTCD8.No differences in NK, B or antibody-secreting cell proportions were observed.PLWHA presented increased Tfh (CD4+CXCR5+T cells, p < 0.01) and CXCR1+Tfh (p < 0.05) cell frequency, enhanced expression of PD1+ on LTCD4 (p < 0.05), HLA-DR on LTCD8 (p < 0.05) and higher expression of CD95 (p = 0.002), CD25 (p = 0.004), HLA-DR (p < 0.0001), NKp46 (p = 0.035) and CD38/HLA-DR (p = 0.002) on NK cells.Conclusions: Although PLWHA showed an immune profile with enhanced activation and exhaustion, the severity of COVID-19 was not exacerbated.Among PLWHA, SARS-CoV-2 infection could exert a significant humoral and cellular response, which could be associated with increased proportions of Tfh cells.The cellular response was lower compared to HIVneg individuals; nevertheless, a preserved LTCD4 count emerged as a key factor to achieve better antibody responses with higher neutralization capacity.These data reinforce the impact of ART not only in HIV control but in the capacity to control other infections.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.464 | 0.247 |
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".