An early functional adaptive NK cell signature drives optimal CD8 <sup>+</sup> T-cell activation and predicts sustained HIV-1 viral control
Bibliographic record
Abstract
Abstract A better understanding of the immune responses associated with future viral control in humans during acute HIV-1 infection (AHI) is critical to inform vaccines and immune-based therapeutics. Natural killer (NK) cells and CD8 + T-cells are pivotal in antiviral defence, yet the dynamics and complementary roles of these effector subsets during AHI with different HIV-1 subtypes remain poorly understood. Access to a unique patient cohort recruited during and post-peak HIV-1 viral load with different HIV-1 subtypes and followed up longitudinally in the absence of antiretroviral therapy up to six years post estimated date of infection (EDI) provided a rare opportunity to fill this knowledge gap. Our data show an early expansion of FcεRγ − CD57 + NK cells with classical adaptive traits concomitant with an enhanced capacity for antibody-dependent cellular cytotoxicity (ADCC) and reactivity against HIV-1 antigens. This distinctive NK cell profile was more abundant in donors with subtype A infection compared to non-subtype A, partially driven by elevated pro-inflammatory cytokine levels and changes in the epigenetic landscape. The accumulation of adaptive NK cells during the first month of infection contributed to the optimal activation of CD8 + T-cells, promoting virus-specific responses. Notably, individuals with higher levels of FcεRγ − CD57 + adaptive NK cells during the first month of infection were more likely to exhibit long-term viral control in the absence of ART. These findings underscore the critical role of early, high-magnitude adaptive NK cell responses in CD8 + T-cell activation and subsequent immune control. This work provides novel insights into the correlates of protective immunity against HIV-1 infection, with implications for preventative or therapeutic vaccine strategies aimed at promoting adaptive NK cell responses. One Sentence Summary Early expansion of adaptive NK cells during acute HIV-1 infection promotes long-term viral control.
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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 | 0.000 | 0.000 |
| 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) | 0.003 | 0.001 |
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".