HIVs Evasion of Hosts NK Cell Response and Novel Ways of its Countering and Boosting Anti-HIV Immunity
Bibliographic record
Abstract
NK cells were characterized by their ability to spontaneously kill certain tumor and virus-infected cells. They constitute first line of defense against invading pathogens and usually become activated in viral infections particularly in early phases. Activated NK cells play a crucial role in the induction and amplification of virus-specific immunity by providing IFN-gamma and "danger signal". The functional activities of NK cells are regulated by a balance between the engagement of their inhibitory and activating receptors. In recent years, the discovery of several MHC and non-MHC binding NK receptors has provided important insights regarding NK cell biology and its role in viral infections. These receptors are increasingly being viewed as important regulators of immune response. Like many other viruses, HIV also seems to activate NK cells. However, several studies have reported compromised NK cell functions in HIV-infected individuals. The virus employs several strategies to counter the host's NK cell response, e.g., a differential downregulation of MHC class I molecules on the surface of infected cells, a dysregulated production of NK cell function-enhancing cytokines, direct inhibitory effects of certain viral proteins on NK cell functions, and changes in the expression of NK cell receptors, etc. The individuals expressing activating NK cell receptors and their cognate MHC ligands have activated NK cells. The development of AIDS is significantly delayed in these individuals after HIV infection. The discovery of NK receptors and their ligands has opened new avenues of developing AIDS vaccine and boosting innate and adaptive antiviral immunity in HIV-infected individuals.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".